BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Operations Research Graduate Program - ECPv6.16.3//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Operations Research Graduate Program X-ORIGINAL-URL:https://or.ncsu.edu X-WR-CALDESC:Events for Operations Research Graduate Program REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20220313T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20221106T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20230312T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20231105T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20240310T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20241103T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20250309T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20251102T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20240819T163000 DTEND;TZID=America/New_York:20240819T174500 DTSTAMP:20260627T001107 CREATED:20260129T144925Z LAST-MODIFIED:20260129T151207Z UID:10000058-1724085000-1724089500@or.ncsu.edu SUMMARY:OR Seminar: Fall 2024 Welcome Event DESCRIPTION:Join OR Director Maria Mayorga in welcoming the new operations research students to the program. This is an opportunity for students to meet each other and enjoy some delicious popsicles from Locopop. Alums and friends of the program are always welcome. \nThe event will be held on Angel Plaza\, which is located outside of the second-floor entrance to Fitts-Woolard Hall. URL:https://or.ncsu.edu/event/fasll-2024-welcome-event-08-19-2024/ LOCATION:Angel Plaza\, 915 Partners Way\, 2nd Floor Entrance\, Raleigh\, North Carolina\, 27606 CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-welcome-back-meet-and-greet-featured-image-08-2024-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20240503T090000 DTEND;TZID=America/New_York:20240503T110000 DTSTAMP:20260627T001107 CREATED:20260129T152450Z LAST-MODIFIED:20260129T152450Z UID:10000059-1714726800-1714734000@or.ncsu.edu SUMMARY:Spring 2024 Graduation Ceremony DESCRIPTION:The ISE\, OR and MEM Spring 2024 Graduation Ceremony begins at 9 am with a reception right after the service. The ceremony will be live-streamed (http://go.ncsu.edu/isegraduation) starting at 8:45 am for friends and families to enjoy. URL:https://or.ncsu.edu/event/spring-2024-graduation-ceremony/ LOCATION:McKimmon Center\, 1101 Gorman Street\, Raleigh\, 27606\, United States CATEGORIES:OR Program Events ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2025/08/graduation-ceremony-default-feature-image-08-2025-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20240422T163000 DTEND;TZID=America/New_York:20240422T174500 DTSTAMP:20260627T001108 CREATED:20260129T152907Z LAST-MODIFIED:20260129T152907Z UID:10000060-1713803400-1713807900@or.ncsu.edu SUMMARY:OR Seminar: Jonathan Owen DESCRIPTION:Join us in welcoming Jonathan Owen from General Motors as he discusses Leveraging OR/MS and Analytics in the automotive industry. Alums and friends of the program are always welcome. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/97198402775?pwd=dGN3ZDdldm1obXNXMTEzUkJlcElLdz09 \nMeeting ID: 971 9840 2775\nPasscode: 557407 \nDownload Jonathan Owen’s abstract and biography \nTitle and Abstract\nLeveraging OR/MS and Analytics in Automotive \nIn the fiercely competitive and capital-intensive automotive sector\, effective decision-making is paramount for manufacturer success. Long product development cycles\, significant upfront investments\, and diverse customer preferences underscore the need for advanced analytics and operations research. This presentation delves into the automotive landscape through real-world examples and case studies from the speaker’s own experience\, providing attendees with a deeper understanding of how analytics can optimize efficiency\, mitigate risks\, and enhance both customer satisfaction and OEM profitability. Ultimately\, unlocking the full potential of OR/MS and analytics requires practitioners to embrace a holistic problem-solving approach. This entails moving beyond point solutions that merely optimize current practices and processes to a strategic framing that comprehends the interconnectedness of key decisions and system-level opportunities. \nBiography\nOwen recently retired from General Motors\, where he served as head of GM’s Advanced Analytics Center of Expertise\, Director of Global R&D’s Operations Research Lab\, and Chief Scientist for AI/ML and Operations Research. With a career spanning over two decades at GM\, he spearheaded strategic innovation in prescriptive analytics and applied data science\, collaborating internally to boost revenue\, profitability\, and operational efficiency through improved data-driven decision making. He led internal research activities as well as collaboration with university partners\, external labs\, and other organizations to tackle GM’s most significant technical challenges and advance the state-of-the-art knowledge in applied OR/MS and analytics. In 2023\, Owen launched GM’s internal AI Center\, the strategic hub for catalyzing GM’s AI transformation by fostering enterprise-wide collaboration\, coordination\, and thought leadership\, enabling GM to seize the highest impact opportunities at speed and scale\, while protecting its brands\, customers\, partners\, and employees. His contributions span diverse functional areas that include Finance\, Sales & Marketing\, Product Development\, Global Portfolio Planning\, Supply Chain & Logistics\, Manufacturing\, Customer Care & Aftersales\, and Customer Experience\, and yielded over $10B in bottom-line implementation impact at GM. Owen’s contributions have been recognized by GM’s highest internal awards\, as well as external awards from SME\, IISE\, and INFORMS. He is a Fellow of INFORMS and IISE\, and a recipient of Northwestern University’s IE/MS Distinguished Alumni Award. In addition to serving on several advisory boards\, Jon currently serves on the Board of Directors for MATHCOUNTS (www.mathcounts.org)\, a non-profit organization that provides engaging math programs to middle school students of all ability levels to build confidence and improve attitudes about math and problem solving. URL:https://or.ncsu.edu/event/or-seminar-jonathan-owen/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-jonathan-owen-04-22-2024-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20240415T163000 DTEND;TZID=America/New_York:20240415T174500 DTSTAMP:20260627T001108 CREATED:20260129T153214Z LAST-MODIFIED:20260129T153214Z UID:10000061-1713198600-1713203100@or.ncsu.edu SUMMARY:OR Seminar: Anderson de Queiroz DESCRIPTION:Join us in welcoming OR’s own Anderson de Queiroz from NC State’s Civil\, Construction and Environmental Engineering Department as he discusses current operations research topics. Alums and friends of the program are always welcome. \nDid you Miss it?\nWatch it Now\nPasscode: $*10!VYg \nDownload Anderson de Queiroz’s abstract and biography \nTitle and Abstract\nEnhanced Coordination of Renewable Energy Resources through Sampling-based Decomposition in Multi-stage Stochastic Programs \nThe dynamic intersection of economic growth and society well-being depends significantly on the effective management and strategic utilization of natural resources\, highlighted by the pursuit of sustainable methodologies. Within this context\, the critical role of integrating clean and dependable water and power infrastructures cannot be overstated\, particularly as we navigate towards an era\nmarked by substantial investments in renewable energy\, energy storage\, and smart technologies. In the current energy transition\, the interdependence between these infrastructures is even more important\, and requires sophisticated methodologies to handle challenges with temporal and spatial dynamics\, as well as variability. This presentation is focused on renewable energy coordination challenges\, framed within the context of Multi-stage Stochastic Programming. It highlights the application of a sampling-based decomposition technique\, specifically designed to address the complexities of such Multistage Stochastic Renewable Coordination problems effectively. This approach not only facilitates enhanced decision-making but also sets a precedent for optimizing renewable energy utilization in sustainable\nenergy futures. \nBiography\nAnderson de Queiroz is received his B.Sc. in 2005 and M.Sc. in 2007 in electrical engineering from Federal University of Itajubá (UNIFEI) in the state of Minas Gerais in Brazil. He has a Ph.D. in operations research from the University of Texas at Austin (2011). He is an Associate Professor at the Department of Civil\, Construction\, and Environmental Engineering at North Carolina State University (NC State)\, where he is a member of the Computing & Systems group and the Operations Research graduate program. Prior to joining NC State\, he worked as a professor at UNIFEI and at North Carolina Central University. He served as consultant and researcher in many sponsored projects (including NSF\, CBTS/DHS\, NCROEP\, MSRDC\, ANEEL\, PETROBRAS\, VALE\, CPFL\, AES\, ENERGISA) in the United States and Brazil. He is interested in the synergy of data and computational innovation to inform strategic decision-making in energy\, water\, and power systems. He focuses on optimization under uncertainty\, data-driven methods and predictive analytics applied to planning\, operations\, and economics in clean and sustainable energy systems\, water-energy nexus\, coastal engineering\, and biosecurity. URL:https://or.ncsu.edu/event/or-seminar-anderson-de-queiroz/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-anderson-de-queiroz-04-15-2024-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20240409T180000 DTEND;TZID=America/New_York:20240409T200000 DTSTAMP:20260627T001108 CREATED:20260129T153740Z LAST-MODIFIED:20260129T153814Z UID:10000062-1712685600-1712692800@or.ncsu.edu SUMMARY:47th Annual C.A. Anderson Awards DESCRIPTION:The best and brightest stars of the ISE Department come out to shine at the 2023 C.A. Anderson Awards. This year’s event will be held on April 11th\, 2023\, at 6 pm. Come see your favorite faculty\, staff and students receive the department’s top honors\, including the C.A. Anderson Outstanding Faculty Award. \nAwards include: \n\nShook Mentor Awards\nOutstanding Senior Award\nFaculty Senior Scholar Award\nOutstanding Teaching Assistant Award\nStaff Member of the Year Award\n\nand\, of course\, the C.A. Anderson Outstanding Faculty Award! URL:https://or.ncsu.edu/event/47th-annual-c-a-anderson-awards-2024/ LOCATION:NC State University Club\, 4200 Hillsborough St.\, Raleigh\, North Carolina\, 27606 CATEGORIES:OR Program Events ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/ca-anderson-awards-2024-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20240408T163000 DTEND;TZID=America/New_York:20240408T174500 DTSTAMP:20260627T001108 CREATED:20260129T154334Z LAST-MODIFIED:20260129T154334Z UID:10000063-1712593800-1712598300@or.ncsu.edu SUMMARY:OR Seminar: Wells Fargo DESCRIPTION:Join us in welcoming Yuefeng Han\, Shane Lee\, Shu Meng and Ryan Thurston as they discusses quantitative analytics and the Wells Fargo early career program. Alums and friends of the program are always welcome. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/97198402775?pwd=dGN3ZDdldm1obXNXMTEzUkJlcElLdz09 \nMeeting ID: 971 9840 2775\nPasscode: 557407 \nDownload the Abstract and Biographies \nTitle and Abstract\nQuantitative Analytics at Wells Fargo \nSince 1852\, Wells Fargo & Company has dedicated itself to helping customers build businesses and manage money in a rapidly changing world. Wells Fargo is a leading financial services company with approximately $1.9 trillion in assets. In the U.S.\, it serves one in three households and more than 10% of small businesses and is a leading middle-market banking provider. \nCome\, learn\, and join in the discussion about Quantitative Analytics and our early career program. The Quantitative Analytics Program will provide you with an opportunity to work alongside quant professionals on statistical\, machine learning\, and mathematical models that drive Wells Fargo’s businesses. In addition to developing practical business acumen\, you will learn how to develop\, implement\, and validate quantitative models for analysis of unstructured data\, hedging\, pricing\, loss and revenue forecasting\, credit decisions\, and a variety of other applications. \nBiography\nYuefeng Han is the Securities Senior Manager Capital Markets – Quantitative Strategies at Wells Fargo. He earned his Ph.D. in Biomedical Engineering from the City College of New York. \nShane Leeis the Senior Lead Securities Trader Capital Markets – Credit ETF Trading at Wells Fargo. He earned his MS in Quantitative and Computational Finance from Georgia Tech. \nShu Meng is a Quantitative Analytics Specialist Risk Analytics and Decision Science at Wells Fargo. She earned her Ph.D. in Economics from NC State. \nRyan Thurston is a Quantitative Analytics Associate Risk Analytics and Decision Science at Wells Fargo. He earned his MS in Financial Math from NC State. URL:https://or.ncsu.edu/event/or-seminar-wells-fargo-04-08-2024/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-wells-fargo-04-08-2024-featured-image-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20240401T163000 DTEND;TZID=America/New_York:20240401T174500 DTSTAMP:20260627T001108 CREATED:20260129T162912Z LAST-MODIFIED:20260129T162912Z UID:10000065-1711989000-1711993500@or.ncsu.edu SUMMARY:OR Seminar: Zelda Zabinsky DESCRIPTION:Join us in welcoming Zelda Zabinsky from the University of Washington as she shares insights into scalable black-box global optimization. Alums and friends of the program are always welcome. \nDid you Miss it?\nDon’t worry\, we recorded it. Watch Zelda Zabinsky’s preseentation.\nPassword: #GMsXAG8) \nDownload Zelda Zabinsky’s abstract and biography \nTitle and Abstract\nInsights into Scalable Black-box Global Optimization \nOptimization is a fundamental tool that has been used for many purposes\, from strategic policy planning to last-mile distribution to optimal control of dynamical systems. Today\, optimization algorithms are addressing large-scale problems\, with millions of variables that have complex interactions. Machine learning is creating models from huge data sets and large numbers of model parameters and hyper-parameters. How is this possible? A key issue is how to dynamically allocate computational effort efficiently in the search for the global optimum. This talk will provide some insights into how to adapt sampling distributions to achieve desirable performance in high dimensions. It will summarize finite-time analyses of adaptive random search methods to shed some light on important features of scalable algorithms. New results on the use of partitioning the domain to address heterogeneity of the response with the use of surrogate modeling\, e.g.\, Gaussian processes\, will be presented. The finite-time analyses provide an interpretation of the balance between exploration and exploitation while maintaining scalable algorithms. \nBiography\nZelda B. Zabinsky is an Emeritus Professor in Industrial & Systems Engineering at the University of Washington. She has held adjunct appointments in the departments of Mechanical Engineering\, Electrical & Computer Engineering\, and Civil & Environmental Engineering. She is fellow of both the Institute for Operations Research and the Management Sciences (INFORMS) and the Institute of Industrial and Systems Engineers (IISE). She has published numerous papers in theory and applications of global optimization. Her book\, Stochastic Adaptive Search in Global Optimization\, describes research on theory and practice of algorithms useful for solving problems with multimodal objective functions in high dimension. The National Science Foundation (NSF)\, NASA-Langley\, Federal Aviation Administration (FAA)\, the Department of Homeland Security\, and the Office of Naval Research (ONR) have funded her research\, as well as local industries including Boeing Commercial Airplane Company\, Microsoft\, and the Port of Tacoma. Her research has been applied to engineering design\, supply chain\, healthcare\, power systems with renewable resources\, air traffic flow management\, and communication scheduling. Professor Zabinsky is on the editorial board of the Journal of Global Optimization\, and has been a board member of the Pacific Institute of Mathematical Sciences (PIMS) and the Women in Engineering (WIE) Initiative. She has received the annual teaching award in Industrial Engineering at the University of Washington several times. URL:https://or.ncsu.edu/event/or-seminar-zelda-zabinsky-04-01-2024/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-zelda-zabinsky-04-01-2024-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20240325T163000 DTEND;TZID=America/New_York:20240325T174500 DTSTAMP:20260627T001108 CREATED:20260129T163353Z LAST-MODIFIED:20260129T163353Z UID:10000066-1711384200-1711388700@or.ncsu.edu SUMMARY:OR Seminar: Casey Phillips DESCRIPTION:Join us in welcoming Casey Phillips from the NC Wildlife Resources Commission as he discusses current operations research topics. Alums and friends of the program are always welcome. \nDid You Miss It?\nDon’t worry we recorded it: https://ncsu.zoom.us/j/97198402775?pwd=dGN3ZDdldm1obXNXMTEzUkJlcElLdz09\nPasscode: Yq4.&=^O \nDownload Casey Phillips’ abstract and biography \nTitle and Abstract\nMaximizing Wildlife Habitat Objectives on North Carolina’s Game Lands \nIntegrating wildlife management goals into forest planning presents multiple complex challenges and requires future forest conditions to be linked quantitatively to the habitat requirements of specific wildlife species. We qualitatively related values within parameterized ranges of 11 vegetation metrics to the potential of a forest stand to potential to provide habitat for 16 focal wildlife species. We chose predictive metrics from traditional timber inventory data and simulated the volumes of growth and yields across a 50-year horizon. We quantitatively related predicted conditions in a given forest stand to its potential to provide habitat using an index derived from the metrics relevant to the focal wildlife species. We integrated the index values as accounting variables in a linear programming framework using the Woodstock Optimization Studio (the standard platform for planning analysis in the forest industry worldwide)\, which allows them to be tracked over the 50-year model horizon\, constrained\, or optimized directly as part of the model’s objective function. We applied the model to study area of 49\,453 hectare across 2\,836 timber stands on public land and reported the trends in the harvest scheduling\, habitat index values\, and revenue under 13 formulations of the objective function maximizing habitat and revenue objectives. By scheduling more thinning treatments\, index values under the habitat formulation increased faster and higher than those realized under the maximized revenue formulation\, which scheduled more final harvest treatments to maximize undiscounted cashflows across the modelled horizon. In the case study\, production possibilities analysis indicated worthwhile gains could be achieved for revenue objectives with minimal impacts to wildlife habitat objectives. \nBiography\nCasey Phillips is the Forestry Program Leader for the North Carolina Wildlife Resources Commission and has been a forester with the agency since 2012. He has bachelor’s degrees in wildlife science and forest management from NC State and the University of Minnesota\, and a master’s degree from the Ceasar Kleberg Wildlife Research Institute at Texas A&M University – Kingsville\, where he studied the roosting ecology of wild turkeys on the King Ranch. His Ph.D. work in forest management and planning was completed at NC State under the direction of Joe Roise. Casey is a Certified Wildlife Biologist\, Certified and NC Registered Forester\, and a NC Certified Prescribed Burner. He lives in Wallace\, North Carolina with his wife and two boys. URL:https://or.ncsu.edu/event/or-seminar-casey-phillips-03-25-2024/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-casey-phillips-03-25-2024-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20240318T163000 DTEND;TZID=America/New_York:20240318T174500 DTSTAMP:20260627T001108 CREATED:20260129T163954Z LAST-MODIFIED:20260129T163954Z UID:10000068-1710779400-1710783900@or.ncsu.edu SUMMARY:OR Seminar: David Papp DESCRIPTION:Join us in welcoming OR’s own David Papp from the NC State Department of Mathematics as he discusses monostatic polyhedrons. Alums and friends of the program are always welcome. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/97198402775?pwd=dGN3ZDdldm1obXNXMTEzUkJlcElLdz09 \nMeeting ID: 971 9840 2775\nPasscode: 557407 \nTitle and Abstract\nSearching for Monostatic Polyhedra: Computer-assisted Theorem Proving with Convex Optimization \nThe seminar concerns an unusual application of operations research: the stability of convex polyhedra\, a fundamental question in 3-dimensional geometry whose study goes back to the 1960s. A convex body is called mono-(un)stable if it has a unique (un)stable equilibrium. It is monostatic if it belongs to either of the two classes\, and mono-monostatic if it belongs to both. Such convex bodies are surprisingly difficult to construct: the Gömböc\, constructed by Domokos and Várkonyi in 2006\, is the first known mono-monostatic\, homogeneous convex body. Several monostable polyhedra have also been found\, but the minimal number of vertices (faces\, edges) such a polyhedron must have is unknown. Mono-instability is even less understood; mono-monostatic homogenous polyhedra have not been explicitly constructed. In this seminar we will show not only how we can use optimization to construct mono-unstable polyhedra (the less surprising application)\, but also how to rigorously prove the non-existence of such polyhedra with few vertices. The talk will not assume any prior familiarity with the subject\, only standard OR 505 material. \nBiography\nDávid Papp is an associate professor in the Department of Mathematics at NC State. After studying at the Budapest University of Technology and Economics in Hungary\, he obtained his Ph.D. in operations research at Rutgers University in 2011. Before joining NC State\, he worked at Northwestern University and at the Massachusetts General Hospital. His research focuses on the design\, analysis\, and implementation of algorithms for solving large-scale optimization problems and their applications in healthcare\, engineering\, and statistics. His radiotherapy optimization algorithms are built into two clinical treatment planning software used worldwide (Philips Pinnacle and RaySearch RayStation). He received an NSF CAREER Award in 2019 for his computational mathematics research and the Mehrotra Award from the INFORMS Health Applications Society in 2021 for his work on radiation therapy. \nDownload David Papp’s Abstract and Biography URL:https://or.ncsu.edu/event/or-seminar-david-papp-03-18-2024/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-david-papp-03-18-2024-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20240304T163000 DTEND;TZID=America/New_York:20240304T174500 DTSTAMP:20260627T001108 CREATED:20260129T164402Z LAST-MODIFIED:20260210T214149Z UID:10000069-1709569800-1709574300@or.ncsu.edu SUMMARY:OR Seminar: Fengbin "Frank" Sun DESCRIPTION:Join us in welcoming Fengbin “Frank” Sun\, Technical Lead and Principal Engineer of Reliability Engineering\, as he discusses his exciting career at Tesla. Alums and friends of the program are always welcome. \nDid you Miss It?\nDon’t worry. We recorded it \nAccess Password: X&Za6TR= \nTitle and Abstract\nReliability Engineering – An Exciting Career and Adventure in Tesla \nTesla was founded in 2003 by a group of engineers who wanted to prove that people didn’t need to compromise to drive electric – that electric vehicles can be better\, quicker and more fun to drive than gasoline cars. Today\, Tesla builds not only all-electric vehicles (Roadster\, Model S\, Model X\, Model 3\, Model Y\, Semi Truck\, and Cyber Truck)\, but also infinitely scalable clean energy generation (Solar Roof) and storage products (Power Wall\, Power Pack\, etc.). They are built by our Fremont Factory\, Gigafactory 1 in Nevada\, and Gigafactory Shanghai\, Gigafactory Berlin\, and Gigafactory Texas\, etc. Tesla believes the faster the world stops relying on fossil fuels and moves towards a zero-emission future\, the better. \nTesla’s mission is to accelerate the world’s transition to sustainable energy. To accomplish this mission\, safety and reliability are extremely important and critical. This talk will give a brief introduction of Tesla culture\, major product lifecycle reliability activities and departments\, including data-driven and model-driven (failure physics driven) Design for Reliability\, Manufacturing Reliability\, Field Reliability\, etc. For those who are interested in joining Tesla Reliability family as fulltime engineer or intern\, this presentation will also touch upon skills and qualifications we are looking for. \nBiography\nFrank Sun is currently a Technical Lead and Principal Reliability Engineer at Tesla Inc. with over 30 years of industry and academia experience. He has published two books and more than 50 papers in various areas of reliability\, maintainability and quality engineering. Sun served in the editorial board as an Associate Editor for the IEEE Transactions on Reliability from 1999 to 2003 and from 2016 to 2023\, Program Chair of ISSAT International Conference on Reliability and Quality in Design since 2014\, and a committee member and session moderator of numerous international conferences on reliability. He received his Ph.D. in Reliability from University of Arizona and is a senior member of ASQ and the President of Society of Reliability Engineers Silicon (SRE) Valley Chapter. Sun received the RAMS 2013 A.O. Plait Best Tutorial Award\, RAMS 2020 P.K. McElroy Best Paper Award\, and RAMS 2024 Doug Ogden Best Paper Award by an SRE Member. URL:https://or.ncsu.edu/event/or-seminar-fengbin-frank-sun-03-04-2024/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-fengbin-frank-sun-03-04-2024-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20240226T163000 DTEND;TZID=America/New_York:20240226T174500 DTSTAMP:20260627T001108 CREATED:20260129T164742Z LAST-MODIFIED:20260129T164742Z UID:10000070-1708965000-1708969500@or.ncsu.edu SUMMARY:OR Seminar: Nicholas Clark DESCRIPTION:Join us in welcoming Nicholas Clark from the United States Military Academy’s Department of Mathematical Sciences as he discusses how modeling can be used to prevent crime. Alums and friends of the program are always welcome. \nDid you Miss It?\nDon’t worry\, we recorded it. \nAccess Password: 3QbX0g#g \nDownload Nicholas Clark’s abstract and biography \nTitle and Abstract\nAdvancements in Spatially Correlated Self-Exciting Spatio-Temporal Models \nIn criminology\, the pervasive theory of repeat victimization posits that locations previously affected by crime or violence are more susceptible to future incidents. Statistical modeling tackles this phenomenon through the application of Hawkes processes or self-exciting spatio-temporal models. However\, this talk will shed light on the limitations inherent in standard self-exciting models\, emphasizing that improperly structured spatio-temporal frameworks can yield inaccurate insights into the root causes of criminal activities or the spread of violence. \nBiography\nCOL Nicholas Clark is an Associate Professor in the Department of Mathematical Sciences at West Point. Nick received a BS in Mathematics from West Point in 2002\, a MS in Statistics from George Mason in 2010\, and a PhD in Statistics from Iowa State University in 2018. His dissertation was on Self-Exciting Spatio-Temporal Statistical Models and he has published in a variety of disciplines including spatio-temporal statistics\, best practices in statistical methodologies\, epidemiology\, and sports statistics. Nick is the former director of the Center for Data Analysis and Statistics\, where he conducted research for a variety of Department of Defense clients. COL Clark also was instrumental in standing up one of the first undergraduate degrees in the country in Applied Statistics and Data Science (ASDS) and currently serves as the Program Director for West Point’s ASDS program. URL:https://or.ncsu.edu/event/or-seminar-nicholas-clark-02-26-2024/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-nicholas-clark-02-26-2024-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20240219T163000 DTEND;TZID=America/New_York:20240219T174500 DTSTAMP:20260627T001108 CREATED:20260129T165214Z LAST-MODIFIED:20260129T165242Z UID:10000071-1708360200-1708364700@or.ncsu.edu SUMMARY:OR Seminar: Canan Ulu DESCRIPTION:Join us in welcoming Canan Ulu from Georgetown University’s McDonough School of Business as she discusses consideration sets and what we can learn from them. Alums and friends of the program are always welcome. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/97198402775?pwd=dGN3ZDdldm1obXNXMTEzUkJlcElLdz09 \nMeeting ID: 971 9840 2775\nPasscode: 557407 \nTitle and Abstract\nLearning from Consideration Sets: Joint work with Bharadwaj Kadiyala and Dorothee Honhon \nPrior literature on consumer behavior suggests that consumers engage in a two-stage shopping behavior: in the first stage\, they consider only a subset of the products offered for purchase (known as the consideration set) and in the second stage\, they make a final purchase decision among the considered products based on their preferences. We model such purchase behavior using the Random Consideration Set (RCS) model (Manzini and Mariotti 2014). In this model\, consumers consider each product independently with a given consideration probability. Motivated by environments in which consumers’ consideration sets are observable (e.g.\, based on clickstream\, home try-on programs\, eye-tracking\, and heatmap data sources)\, we consider how a decision maker should design product assortments to maximize profit while also learning about consumers’ consideration probabilities over a finite time horizon. We show that the structure of the optimal assortment depends on two orders: the consumers’ preference order and the product informativeness order\, which we formalize using Blackwell sufficiency (Blackwell 1951). The optimal assortment has the well-known popular set characterization when the consumers’ preference order and the product informativeness order are identical. Otherwise\, the optimal assortment is popular within the set of products over which the two orders agree—a generalization of the popular set result. Based on our numerical experiments\, we find that the decision maker’s profit can increase by up to 2.62% by learning\, and more than 50% of that benefit can be realized by learning from the consumers’ consideration sets. The structural properties of the optimal assortment also reduce the search space for the optimal solution\, leading to a reduction of up to 97.52% in the computational time compared to a complete enumeration benchmark. \nBiography\nCanan Ulu is an associate professor at Georgetown University’s McDonough School of Business. Previously\, she was an assistant professor in McCombs School of Business at the University of Texas at Austin. She received her Ph.D. from Duke University and holds a B.S. and an M.S. degree in Industrial Engineering from Middle East Technical University\, Ankara\, Turkey. She teaches business analytics and decision modeling courses in Georgetown’s graduate and undergraduate programs. Ulu is an associate editor for the decision analysis area at Operations Research and Manufacturing & Service Operations Management. Dr. Ulu studies Bayesian learning in sequential decision problems\, multi-criteria decision-making problems and uses behavioral decision theory to improve decision analysis methods. Her work has been published in journals such as Operations Research\, Management Science and Psychological Science among others. URL:https://or.ncsu.edu/event/or-seminar-canan-ulu-02-19-2024/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-canan-ulu-02-19-2024-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20240212T160000 DTEND;TZID=America/New_York:20240212T174500 DTSTAMP:20260627T001108 CREATED:20260129T165546Z LAST-MODIFIED:20260129T165744Z UID:10000072-1707753600-1707759900@or.ncsu.edu SUMMARY:OR Seminar: Sommer Gentry DESCRIPTION:Join us in welcoming Sommer Gentry from NYU’s Department of Surgery at NYU Grossman School of Medicine as she discusses optimizing the organ transplantation process. Alums and friends of the program are always welcome. \nDid You Miss It?\nWatch it Now!\nPassword: SYw*.#U9 \nTitle and Abstract\nA Multiobjective Optimization Lens on Allocating Organs for Transplantation \nOrgan allocation is a complex system in which every factor prioritized affects how other factors are prioritized\, and this talk will examine several different perspectives on multiobjective optimization as they relate to transplantation policy. The Organ Procurement and Transplantation Network is eliminating a hierarchical category-based priority system in favor of a weighted combination of multiple objectives\, but designing the weights by committee vote might fail to converge on an acceptable system. We can use simulation optimization to maximize the survival benefit of transplantation while ensuring equity by making transplant rates similar among populations that differ by race\, gender\, et cetera. Using simulation optimization\, we explore alternative designs to choose an allocation score that\, for example\, could minimize waitlist deaths while assuring comparable transplant rates for relevant subgroups (e.g. by age\, race\, ABO blood type\, urban/rural). Our findings are directly applicable to liver allocation policymaking\, using an approach that optimizes outcomes and supports transparency\, an ethical cornerstone in transplantation. \nBiography\nSommer Gentry\, Ph.D.\, is a Professor of Surgery and a Professor of Population Health at the New York University Grossman School of Medicine\, and Co-Director of the Center for Surgical and Transplant Applied Research. She is a senior investigator with the Scientific Registry for Transplant Recipients. She designed matching optimization methods used for nationwide kidney paired donation registries in both the United States and Canada\, and helped pass a law legalizing paired donation in the United States. Her redistricting work was also instrumental in pushing the Organ Procurement and Transplantation Network to make major policy changes that reduced geographic disparities in transplantation. Her work has attracted the attention of major media outlets including Time Magazine\, Reader’s Digest\, Science\, the Discovery Channel\, and National Public Radio. She was formerly a Professor of Mathematics at the US Naval Academy\, and in that role received the MAA’s Henry L. Alder award for distinguished teaching by a beginning mathematics faculty member\, was a finalist for the INFORMS Daniel H. Wagner prize for excellence in operations research practice\, and received the US Naval Academy’s 2021 Civilian Faculty Excellence in Research award. URL:https://or.ncsu.edu/event/or-seminar-sommer-gentry-02-12-2024/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-sommer-gentry-02-12-2024-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20240205T163000 DTEND;TZID=America/New_York:20240205T174500 DTSTAMP:20260627T001108 CREATED:20260129T165925Z LAST-MODIFIED:20260210T214529Z UID:10000073-1707150600-1707155100@or.ncsu.edu SUMMARY:OR Seminar: Operations Research GSA DESCRIPTION:Come out and meet the officers of the Operations Research Grad Student Association (ORGSA) and find out how to navigate research and well being as a Ph.D. student in Operations Research. OR Alums and friends are welcome. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/97198402775?pwd=dGN3ZDdldm1obXNXMTEzUkJlcElLdz09 \nMeeting ID: 971 9840 2775\nPasscode: 557407 \nTitle\nNavigating Research and Well Being as a Ph.D. Student in Operations Research \nPanelists\nAnnisa Marlin Masbar Rus\nMy name is Annisa Marlin Masbar Rus\, and I am in my fifth year of the Ph.D. program at ISE. I completed my Bachelor’s degree in Industrial Engineering from Universitas Indonesia in Indonesia and my Master’s degree in Service Management and Design from Warwick University in Coventry\, U.K.\, in 2014 and 2016\, respectively. My research mainly focuses on natural language processing applications\, particularly topic models\, in health systems text data that is not clinical note. I have worked on a project aimed at extracting topics from emergency communication during COVID-19 in two health systems and predicting call outcomes from call transcripts of a care management company. My advisor is Dr. Maria Mayorga. \n\n\nMat Fukuzawa\nMy name is Mat Fukuzawa\, and I am in my 3rd and final year of my PhD in Operations Research. My research area is the application of blockchain smart contracts. I received a Bachelors in Mathematics from Michigan State University in 2005 and a Masters in Applied Mathematics from the Navel Postgraduate School in 2014. I have been an active-duty Army officer since 2005 and am currently an OR/Systems Analyst I have teaching experience at United States Military Academy (USMA) at West Point (’14-’17) and will return their after completion of my PhD. My advisors are Dr. Brandon McConnell\, Dr. Michael Kay\, Dr. Kristin Thoney-Barletta. \n\n\nKuangying Li\nMy name is Kuangying Li\, and I am currently a fourth-year Ph.D. student in operations research. I got my bachelor’s degrees in mathematics and petroleum engineering and my master’s degree in software engineering. My research interests lie in optimization under uncertainty and humanitarian logistics. More specifically\, focusing on formulating the optimization model for a reality logistics problem as a location\, allocation\, or routing problem and developing a solution algorithm for the optimization model while considering the combinatorial complexity due to the large-scale data input and mixed integer decision variables. I am co-advised by Dr. Leila Hajibabai and Dr. Ali Hajbabaie. \n\n\nVeronica Diaz Pacheco\nMy name is Veronica Diaz Pacheco. I am a third-year Ph.D. student in Operations Research. I have a bachelor’s degree in economics and statistics and a master’s in industrial engineering. My research focuses on emergency management\, energy systems\, simulation\, and optimization. I’m particularly interested in developing optimization models that inform public policy decisions and aim to promote social welfare. My advisor is Dr. Jordan Kern. \n\nAbout ORGSA\nThe ORGSA at NC State serves operations research graduate students by fostering communication between students and faculty\, establishing and maintaining a sense of identity and community within the OR program\, and promoting events\, interactions\, and programs that enhance the quality of education for students and their outcomes after graduation. URL:https://or.ncsu.edu/event/or-seminar-operations-research-gsa-02-05-2024/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/or-seminar-series-default-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20240129T163000 DTEND;TZID=America/New_York:20240129T174500 DTSTAMP:20260627T001108 CREATED:20260129T170204Z LAST-MODIFIED:20260129T180627Z UID:10000074-1706545800-1706550300@or.ncsu.edu SUMMARY:OR Seminar: Zhishan Guo DESCRIPTION:Join us in welcoming OR faculty member Zhishan Guo from NC State’s Department of Computer Science as he discusses cyber-physical systems. Alums and friends of the program are always welcome. \nDid You Miss It?\nDon’t worry. We recorded it.\nhttps://ncsu.zoom.us/rec/share/oAIt7fAiIFWv5fK9vTKAZ7seHYBfYRmhgF2i4JSvWWw-nwTUw2AX6n6KMoU7InY0.AaYR0FsyTe913OQM\nAccess Password: Q3?+z5#y \nTitle and Abstract\nResilient and Efficient Real Time Systems via Mixed Criticality — Towards Certifiable and Intelligent Real-Time CPS\nIn the era of Cyber-Physical Systems (CPS)\, sensing\, communication\, and computing are becoming more affordable and integrated. Many CPS have strict temporal constraints and often of massive scale. This talk discusses our recent and ongoing efforts to incorporate reliable\, interpretable\, and transferable machine learning and real-time scheduling techniques for CPS’s modeling\, design\, and analysis. With various engineering applications\, those solutions shed light on handling challenges in energy efficiency\, security isolation\, system coordination\, reliable prediction & control\, etc.\, of modern CPS. \nBiography\nZhishan Guo is an associate professor in the Department of Computer Science at North Carolina State University\, where he is also the founding director of the Cyber-Physical Systems focused group/center\, and the director of the Real-Time Intelligent Systems lab. He received the Bachelor’s degree (with honor) in Computer Science and Technology from Tsinghua University\, China\, the M. Phil. degree in Mechanical Automation and Engineering from the Chinese University of Hong Kong\, Hong Kong\, and the Ph.D. degree in Computer Science from the University of North Carolina at Chapel Hill. His current research interests lie in real-time scheduling theory\, machine learning theory\, and their applications to Cyber-Physical Systems. He is a recipient of the ACM SIGBED CAREER award\, NSF CRII award\, and has received best paper\, best student paper\, and outstanding paper awards from prestigious conferences such as RTSS and EMSOFT. URL:https://or.ncsu.edu/event/or-seminar-zhishan-guo-01-29-2024/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2023/09/meet-zhishan-guo-the-new-face-in-cyber-physical-systems-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20240122T080000 DTEND;TZID=America/New_York:20240122T170000 DTSTAMP:20260627T001108 CREATED:20260129T180944Z LAST-MODIFIED:20260210T214705Z UID:10000075-1705910400-1705942800@or.ncsu.edu SUMMARY:OR Seminar: Stephanie Earnshaw and Kyle Paret DESCRIPTION:Join us in welcoming Stephanie Earnshaw and Kyle Paret from RTI Health Solutions. They will discuss the role of operations research in pharmaceuticals. Alums and friends of the program are always welcome. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/97198402775?pwd=dGN3ZDdldm1obXNXMTEzUkJlcElLdz09 \nMeeting ID: 971 9840 2775\nPasscode: 557407 \nTitle and Abstract\nThe Role of Operations Research in Access to Pharmaceuticals\nHave you ever wondered what goes into getting pharmaceuticals and medical devices and diagnostics to market? Patient access to these products is not as simple as going to your doctor and demonstrating a need. Even after demonstrating safety and efficacy in clinical trials\, access may be limited by the primary payer (typically insurance in the US) for a variety of reasons. Decision-analytic models provide a framework for compiling clinical and economic evidence in a systematic fashion which enables the demonstration and communication of a product’s value which can be assess by healthcare decision makers. In this presentation\, we will review the market access hurdles for these types of products and present examples of real-world case studies using decision analytic modeling methods to solve problems in the pharmaceutical industry. \nBiography\nStephanie Earnshaw\nStephanie Earnshaw is Senior Vice President of Health Economics at RTI Health Solutions. Dr. Earnshaw’s research focus is in applying decision-analysis techniques to support access to pharmaceutical\, biotechnology\, and diagnostic and medical device products through performing health economics and outcomes research. Her areas of specialization include mathematical programming (constrained optimization) and Markov\, simulation\, and other state transition modeling. She has developed innovative mathematical models using these methods to determine the cost effectiveness\, pricing strategy\, predict clinical outcomes\, allocate resources\, and cost care pathways particularly in support of medical diagnostics. She also has experience in budget impact modeling where she has published extensively on this topic as one of the lead authors of “Budget-Impact Analysis of Health Care Interventions: A Practical Guide” and is a key instructor for the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) budget impact courses. She has published her work in several peer-reviewed journals and her therapeutic area focus includes cardiovascular disease\, gastrointestinal disorders\, respiratory disease\, acute care\, infectious disease\, osteoporosis\, and vaccines. \nShe is a member of the Institute for Operations Research and the Management Sciences and of ISPOR. Dr. Earnshaw has served on the ISPOR Board of Directors and as Chair of the Audit Committee and is the current Educational Council Chair and member of ISPOR’s the Health Science Policy Committee\, Short Course Committee\, and Finance Committee. She has also held an Adjunct Faculty appointment at the University of North Carolina’s Eshelman School of Pharmacy\, Division of Pharmaceutical Outcomes and Policy\, is honored as a Distinguished Alumni in Industrial and Systems Engineering at North Carolina State University. \nKyle Paret\nKyle Paret is an Associate Director of Health Economics at RTI Health Solutions (RTI-HS). He is experienced in developing decision analytic models to evaluate health and economic implications of health technologies. He has developed models and analyses in the areas of oncology\, cardiovascular diseases (e.g.\, heart failure\, hypertrophic cardiomyopathy)\, rare neurogenerative diseases (e.g.\, amyotrophic lateral sclerosis [ALS]\, Huntington’s Disease)\, and COVID-19 vaccination. Paret also has experience developing strategies to prepare for and respond to Institute for Clinical and Economic Review (ICER) evaluations. Prior to joining RTI-HS\, he worked for nine years as a civilian in the Department of Defense as an Operations Researcher and Cost Engineer. His research has been presented at various professional conferences and published in peer-reviewed journals. URL:https://or.ncsu.edu/event/or-seminar-stephanie-earnshaw-and-kyle-paret-01-22-2024/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-earnshaw-paret-01-22-2024-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20240108T163000 DTEND;TZID=America/New_York:20240108T174500 DTSTAMP:20260627T001108 CREATED:20260129T181204Z LAST-MODIFIED:20260129T181236Z UID:10000076-1704731400-1704735900@or.ncsu.edu SUMMARY:OR Seminar: Spring 2024 Welcome Event DESCRIPTION:Join OR Director Maria Mayorga in welcoming the new operations research students to the program. This is an opportunity for students to meet each other and learn about OR policies and practices. Alums and friends of the program are always welcome. URL:https://or.ncsu.edu/event/or-seminar-spring-2024-welcome-event-01-08-2024/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2023/07/mayorga-named-or-director-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20231113T163000 DTEND;TZID=America/New_York:20231113T174500 DTSTAMP:20260627T001108 CREATED:20260129T181639Z LAST-MODIFIED:20260129T181639Z UID:10000077-1699893000-1699897500@or.ncsu.edu SUMMARY:OR Seminar: Rob Pratt DESCRIPTION:Join us in welcoming Rob Pratt\, Senior Manager of Analytics R&D\, Operations Research & IML at SAS\, as he shares his research. \nDid You Miss It?\nDon’t worry. Watch it now!\nPassword: 1#rbVd=& \nTitle\nMy Favorite Optimization Modeling Tricks \nAbstract\nI will describe several optimization modeling tricks that I have used in consulting projects for SAS customers. Many of these tricks have yielded quick solutions for problems where a straightforward approach would instead take “forever” to solve. \nBiography\nRob Pratt has worked at SAS since 2000 and is a Senior Manager in the Scientific Computing department in the Analytics R&D division. He manages a team of developers responsible for the optimization modeling language and solvers for linear\, mixed integer linear\, quadratic\, and conic optimization. He earned a B.S. in Mathematics (with a second major in English) from the University of Dayton and both an M.S. in Mathematics and a Ph.D. in Operations Research from The University of North Carolina at Chapel Hill. URL:https://or.ncsu.edu/event/or-seminar-rob-prastt-11-13-2023/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-rob-pratt-11-13-2023-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20231106T163000 DTEND;TZID=America/New_York:20231106T174500 DTSTAMP:20260627T001109 CREATED:20260129T184106Z LAST-MODIFIED:20260129T184132Z UID:10000078-1699288200-1699292700@or.ncsu.edu SUMMARY:OR Seminar: Shawn Mankad DESCRIPTION:Join us in welcoming Shawn Mankad\, an assistant professor in Analytics as part of the Department of Business Management at Poole College of Management\, as he shares his research. \nDid you Miss It?\nDon’t worry\, you can watch it now\nAccess Password: #ew=0Fb&\n \nDownload Mankad’s Abstract and Biography \nTitle\nAssessing Undiversified Holding and Contagion Risks in the Banking Sector with Bayesian Semi-Non-Negative Matrix Factorization \nAbstract\nRecent financial crises and bank failures have focused attention on identifying and measuring bank health\, interconnectedness\, and systemic risk. In this paper\, we propose a novel methodology to estimate the portfolio composition of banks as a function of daily stock returns. Building on a model where individual bank balance sheets connect through common holdings\, we derive and solve a constrained semi-non-negative matrix factorization problem that results in daily estimates of bank portfolios\, which we use to measure undiversified holding and contagion risks in the banking sector. The factorization problem has a unique structure where the rows (corresponding to banks) of one latent matrix factor (representing asset holdings) are subject to probability constraints. We develop a Markov chain Monte Carlo estimator that resolves the well-known issues of scale and rotational invariance in non-negative matrix factorization models. We validate our estimates of asset holdings by showing they match real balance sheet data reported in regulatory filings and demonstrate utility for prudential supervision and risk management by identifying banks as troubled well before they failed in the first quarter of 2023. \nBiography\nShawn Mankad is an assistant professor of analytics at NCSU Poole College of Management. His research focuses on developing and applying statistical methods for addressing business\, economic\, and policy issues. He specializes in using text documents to explain and predict economic variables\, and in the modeling of networks to characterize network structure evolution over time. Prior to NCSU\, Prof. Mankad held faculty positions at Cornell University and the University of Maryland and was a visiting scholar at the Federal Reserve Bank of Philadelphia. His undergraduate degree is from Carnegie Mellon University in mathematics\, and he received his PhD in statistics from the University of Michigan. URL:https://or.ncsu.edu/event/or-seminar-shawn-mankad-11-06-2023/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-shawn-mankad-11-06-2023-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20231030T163000 DTEND;TZID=America/New_York:20231030T174500 DTSTAMP:20260627T001109 CREATED:20260129T184430Z LAST-MODIFIED:20260129T184755Z UID:10000079-1698683400-1698687900@or.ncsu.edu SUMMARY:OR Seminar: Andrew Papanicolaou DESCRIPTION:Join us in welcoming Andrew Papanicolaou\, an Assistant Professor in the Mathematics department here at NC State\, as he shares his research on how the value changes in decentralized finance (DeFi) pools over time. \nDid You Miss It?\nDon’t worry. You can watch it now.\nAccess Password: u6jYxK%n \nTitle\nThe Expected Impermanent Loss in Decentralized Liquidity Provision: Cross-Sectional Evidence from Cryptocurrency Options \nAbstract\nWe propose a continuous-time stochastic model to analyze the dynamics of impermanent loss in liquidity pools in decentralized finance (DeFi) protocols. We replicate the impermanent loss using option portfolios for the individual tokens. We estimate the risk-neutral joint distribution of the tokens by minimizing the Hansen–Jagannathan bound\, which we then use for valuation of options on relative prices and for calculation of implied correlations. In our analyses\, we investigate the relationship between the impermanent loss\, the implied quantities\, and their risk premia in the cross-section of liquidity pools. We test our theory using options data from a major centralized derivative exchange. \nBiography\nAndrew Papanicolaou received the B.S. degree in mathematical sciences from the University of California\, Santa Barbara\, the M.S. degree in financial mathematics from the University of Southern California\, and the Ph.D. degree in applied mathematics from Brown University. He is currently an Associate Professor with the Department of Mathematics\, North Carolina State University. Before joining North Carolina State University\, he was an Assistant Professor with the Department of Finance and Risk Engineering\, New York University. His research interests include computational finance and stochastic systems for control and optimization\, such as non-Markovian and high-dimensional optimizations. He works on problems in financial data analysis and the challenges associated with these highly complex data sets. URL:https://or.ncsu.edu/event/or-seminar-andrew-papanicolaou-10-30-2023/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-andrew-papanicolaou-10-30-2023-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20231023T163000 DTEND;TZID=America/New_York:20231023T174500 DTSTAMP:20260627T001109 CREATED:20260129T185204Z LAST-MODIFIED:20260129T185251Z UID:10000080-1698078600-1698083100@or.ncsu.edu SUMMARY:OR Seminar: Adolfo Escobedo DESCRIPTION:Join us in welcoming Adolfo Escobedo\, an associate professor in the ISE department here at NC State\, as he shares his research on the advances in Principled Preference Aggregation. \nDid You Miss It?\nDon’t worry. You can watch it here.\nPasscode: ^6E5L7eT \nTitle\nTheoretical and Computational Advances in Principled Preference Aggregation \nAbstract\nOver the last two decades\, there has been a growing interest in the aggregation of individual preferences (i.e.\, rankings\, ratings\, etc.) into socially desirable choices\, helping to propel the new interdisciplinary field of computational social choice. Advancements in this field are said to provide a counterbalance against “black box” decision-making technologies\, and they have led to improved outcomes in business\, technology\, and various other domains. Yet\, real-world implementation of the more principled methodologies—in the sense that their outputs guarantee desirable socio-theoretical properties—remains severely limited due to a combination of incompatible assumptions and computational difficulties. \nThis talk will discuss recent work that melds insights from social choice theory and multiple mathematical disciplines to scale the applicability of principled aggregation methods for modern contexts\, specifically\, for ranking data that is high-dimensional and contains ties. The presented contributions include new optimization models\, voting properties\, discrete algorithms\, and polyhedral insights. Computational results on synthetic and real-world data extracted from various applications are also discussed. \nBiography\nAdolfo R. Escobedo received his Mathematics B.A. from California State University Los Angeles in 2009 and his Industrial and Systems Engineering Ph.D. from Texas A&M University in 2016. Prior to joining NC State\, he was an assistant professor in the Industrial Engineering program of the School of Computing and Augmented Intelligence at Arizona State University. Escobedo’s research centers on the development of operations research and computational methods and is driven by modern societal challenges. His active areas of research include computational social choice\, crowdsourcing\, sustainable infrastructure development\, circular economy\, and computational linear algebra. URL:https://or.ncsu.edu/event/or-seminar-adolfo-escobedo-10-23-2023/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-adolfo-escobedo-10-23-2023-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20231002T163000 DTEND;TZID=America/New_York:20231002T174500 DTSTAMP:20260627T001109 CREATED:20260129T185549Z LAST-MODIFIED:20260129T185549Z UID:10000081-1696264200-1696268700@or.ncsu.edu SUMMARY:OR Seminar: INFORMS Practice Talks DESCRIPTION:Come out and support OR Ph.D. Students Yamil Essus\, Yining Huang\, Cameran Lisy and Sebastian Rodriguez Cartes as they practice their talks for the upcoming INFORMS Annual Conference. \nDid you Miss It?\nWatch it Now\nPasscode: i=S49y6B \nAbstract\nYamil Essus\nAdvisor: Benjamin Rachunok \nVehicle electrification is one of the primary pathways to decarbonizing transportation\, but may have unintended consequences during prolonged power outages. While the widespread adoption of electric vehicles appears promising\, it also links mobility and electric power availability. Consequently\, during periods of blackouts a high rate of EV adoption can pose a critical challenge in ensuring access to essential services as households are unable to charge their vehicles. we show how the interaction between geography\, technology\, and demographics impacts access to essential services during prolonged power outages. Our initial results show that EV adoption will exacerbate mobility inequalities in urban areas during prolonged power outages. The escalating frequency and severity of blackouts due to climate change demands a deeper understanding of the risks associated with the technological and societal trends observed in urban environments. \nYining Huang\nAdvisor: Hong Wan \nThis study delves into the utilization of Generative Adversarial Networks (GANs) for generating subject-specific time series sensor data\, offering an innovative alternative to traditional metamodel-based simulations. We undertake an in-depth analysis of DoppelGANger\, a prominent GAN variant for time series data and metadata generation\, evaluating its efficiency and efficacy. The sensor data for this investigation was sourced from the National Health and Nutrition Examination Survey\, which served as the foundational training set. We scrutinized the synthesized sensor data corresponding to various physical attributes\, focusing on the temporal and multi-dimensional statistical properties. Our empirical findings underscore the potential of GANs to adeptly capture the time-dependent correlations and the intricate statistical characteristics inherent in multi-dimensional data. This insight into GANs’ capabilities is a crucial step towards more sophisticated synthetic data generation\, with significant implications for future applications in wearable technology and personalized health monitoring systems. \nCameron Lisy\nAdvisor: Jordan Kern \nIn the past decade\, natural gas has become the cornerstone of U.S. energy production and usage. It accounts for almost half of end use consumption in the electric power (38%) and industrial (41%) sectors\, and the primary source of heating in 60% of households nationwide. NG is also subject to uncontrollable market forces due to extreme weather and world events\, including shocks to both its supply and demand as seen in the aftermath of winter storm Uri in Texas in 2021 where production was severely limited due to freeze-offs\, the Russian invasion of Ukraine in 2022\, and winter storm Elliot in 2022. All of which elevated NG prices substantially\, causing spillover issues to other sectors. The power grid is particularly vulnerable to these risks as it relies on gas-fired generation during times of peak demand throughout the year. While the U.S. is not electrically connected\, each region is joined via a nationwide system of production and pipeline transportation for NG. By modelling these connections through optimization and simulation\, our work demonstrates that weather-based shocks to the gas system traverse boundaries and pose a risk to utilities nationwide. \nSebastian Rodriguez Cartes\nAdvisor: Maria Mayorga \nWhen studying the spread of infectious diseases\, individuals’ actions are essential in preventing contagion across populations. In this study\, we aimed to analyze the impact of interventions on COVID-19 transmission when accounting for individual decision-making. We implemented behavioral models to recreate agents’ decision to wear a mask and get vaccinated\, accounting for critical factors such as personal beliefs\, the agent’s context\, and the system’s state regarding infections. We used an open-source agent-based framework for infectious diseases to incorporate these models and analyze different health outcomes. Our results can be used to provide insights about population level outcomes derived from individual conduct. Moreover\, we promote open access to the model as it is a flexible tool for studying the transmission dynamics of different infectious diseases. URL:https://or.ncsu.edu/event/or-seminar-informs-practice-talks-10-02-2023/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/or-seminar-series-default-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230925T163000 DTEND;TZID=America/New_York:20230925T174500 DTSTAMP:20260627T001109 CREATED:20260129T185802Z LAST-MODIFIED:20260129T185802Z UID:10000082-1695659400-1695663900@or.ncsu.edu SUMMARY:OR Seminar: Shakiba Enayati DESCRIPTION:Join us in welcoming Shakiba Enayati\, an Assistant Professor in the Supply Chain & Analytics Department as part of the College of Business Administration at the University of Missouri  – St. Louis\, as she shares her research. \nDid you miss it?\nDon’t worry. You can watch the recording now! (Access Password: WtX=7tS*) \nTitle\nRedesigning Global Health Supply Chains with Drone-Enabled Solutions \nAbstract\nThis research centers around the optimization of vaccine distribution for routine childhood vaccinations\, particularly those with cold chain requirements\, through the utilization of drones. The primary objective is to enhance vaccine delivery operations to challenging\, hard-to-reach regions. The presentation initially focuses on an overview of the modeling approach employed to optimize strategic vaccine distribution at the national level\, including transportation of vaccines from central depots to local health zone distribution centers. The developed optimization models incorporate a blend of transportation modes\, including both large and small drones\, in addition to conventional methods such as boats\, trucks\, and planes. The focus then shifts to the research efforts aimed at refining vaccine delivery within a single health zone\, involving the outreach trips from a distribution center to remote aid posts. For outreach trips\, small drones are deployed alongside traditional transportation options like walking\, boats\, and trucks. The findings\, based on data collected from the island nation of Vanuatu\, underscore the considerable potential of drones in revolutionizing vaccine supply chain. Drones not only emerge as a viable substitute for existing transportation methods but also enable the efficient resupply of fresh vaccines to health workers at remote locations\, thereby enhancing the effectiveness of outreach initiatives. \nBiography\nDr. Enayati is an Assistant Professor in Supply Chain and Analytics Department at the University of Missouri\, Saint Louis. She earned her Ph.D. in Operations Research Program from North Carolina State University in May 2017. She also holds a Master of Science and a Bachelor in Industrial Engineering. She was previously employed as Assistant Professor of Analytics at State University of New York\, Plattsburgh. Her primary research interests are in analytical modeling and optimization of stochastic/dynamic complex systems as applied to healthcare and supply chain systems. Her goal is to address computational and operational aspects of problems arising in public health policy making\, health systems management\, and medical decision making via incorporating individual patient data. She is also interested in predictive analytics to evaluate\, anticipate\, and recommend actions for health outcomes at both individual and system levels. URL:https://or.ncsu.edu/event/or-seminar-shakiba-enayati-09-25-2023/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/or-seminar-series-default-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230918T163000 DTEND;TZID=America/New_York:20230918T174500 DTSTAMP:20260627T001109 CREATED:20260129T190140Z LAST-MODIFIED:20260129T190140Z UID:10000083-1695054600-1695059100@or.ncsu.edu SUMMARY:OR Series: Srijan Sengupta DESCRIPTION:Join us in welcoming Srijan Sengupta\, an assistant professor in the Statistics Department at NC State\, as he shares his strategies for scalable inference from network data. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/92584004020?pwd=S3ovcmJQU2h5MElEYTdleW1oVVp5dz09 \nMeeting ID: 925 8400 4020\nPasscode: 503038 \nTitle\nTwo generalizable strategies for scalable inference from network data \nAbstract\nMassive network datasets are becoming increasingly common in domains like epidemiology\, neuroscience\, and digital health. Existing statistical inference methods are computationally infeasible for such massive networks. This talk will introduce two generalizable strategies for scalable inference from network data: aggregative subsampling (AggSub) and predictive subsampling (PredSub). AggSub is a divide-and-conquer algorithm where the original network is split into multiple subnetworks with a common overlap. Statistical inference is carried out for each subnetwork\, and the results from individual subnetworks are aggregated by leveraging the overlap. The core idea of predictive subsampling is to avoid large-scale matrix computations by\nbreaking up the task into a smaller matrix computation plus a large number of vector computations that can be carried out in parallel. Under the proposed method\, the inferential task of interest is carried out on a small subgraph to estimate the relevant model parameters. The remaining nodes are added one by one using only vector computations. These two strategies apply to various inference tasks\, such as community detection\, parameter estimation\, model selection\, and hypothesis testing. \nBiography\nSrijan Sengupta is an Associate Professor of Statistics at North Carolina State University\, where he has been working since Aug 2020. He received my Ph.D. in Statistics from the University of Illinois at Urbana-Champaign in Jul 2016. From Aug 2016 to Aug 2020\, he was a tenure-track Assistant Professor of Statistics at Virginia Tech. Dr. Sengupta is interested in developing formal inferential algorithms for network data and applying such algorithms to epidemiology\, social sciences\, and environmental health. He is also developing a statistical science of patient safety\, focusing on adverse medical events due to human errors\, medical devices\, drug reactions\, and radiation therapy. URL:https://or.ncsu.edu/event/or-series-srijan-sengupta-09-18-2023/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-srijan-sengupta-09-18-2023-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230911T163000 DTEND;TZID=America/New_York:20230911T174500 DTSTAMP:20260627T001109 CREATED:20260129T195910Z LAST-MODIFIED:20260129T195910Z UID:10000084-1694449800-1694454300@or.ncsu.edu SUMMARY:OR Seminar: April Yu DESCRIPTION:Join us in welcoming April Yu\, an Assistant Professor in the ISE department here at NC State\, as she shares her research. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/92584004020?pwd=S3ovcmJQU2h5MElEYTdleW1oVVp5dz09 \nMeeting ID: 925 8400 4020\nPasscode: 503038 \nTitle\nUsing Modeling and Optimization to Improve Healthcare Systems \nAbstract\nDecision-making in healthcare systems plays a crucial role in many contexts\, from disease prevention\, control\, and treatment to hospital operations. Vaccines can prevent life-threatening diseases effectively. The increasing number of available vaccines and complex dosage regimens make recommending personalized childhood immunization schedules difficult. We develop a discrete optimization model to solve both de novo (for all children\, starting at birth) and catch-up (for children who are behind on one or more vaccinations) scheduling problems\, given the child’s age and immunization history. The model is the first in the literature to solve both types of scheduling problems and provide vaccine selection decisions to achieve a balanced combination of higher protection against diseases and fewer clinic visits. \nIn the context of hospital operations\, for example\, where physicians need to balance different responsibilities\, we consider a two-stage service system with two types of servers\, namely subordinates (e.g.\, residents) who perform the first-stage service and supervisors (e.g.\, attending physicians) who have their own responsibilities in addition to collaborating with the subordinates on the second-stage service. Rewards are earned when first- or second-stage service is completed and when supervisors finish one of their own responsibilities. Costs are incurred when impatient customers abandon without completing the second-stage service. We introduce a Markov decision process (MDP) formulation\, prove that one of two policies will maximize the long-run average profit\, and show that the optimality condition is a simple threshold on the system parameters. \nBiography\nApril Yu is an assistant professor at the Department of Industrial & Systems Engineering\, North Carolina State University. She received her Ph.D. and M.S. in Operations Research from the School of Industrial & Systems Engineering\, Georgia Tech. Her research interests focus on stochastic modeling and optimization. Her recent works address a wide range of real-world problems\, from healthcare systems to supply chain management. URL:https://or.ncsu.edu/event/or-seminar-april-yu-09-11-2023/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/or-seminar-series-default-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230821T163000 DTEND;TZID=America/New_York:20230823T180000 DTSTAMP:20260627T001109 CREATED:20260129T201411Z LAST-MODIFIED:20260129T204704Z UID:10000087-1692635400-1692813600@or.ncsu.edu SUMMARY:OR Seminar: Meet and Greet DESCRIPTION:Join Maria Mayorga\, Operations Research Program Director\, and the OR staff and students for a meet-and-greet event. This gathering offers an opportunity to connect with faculty\, students\, and staff as a way to kick off the new semester while enjoying Goodberry’s Frozen Custard. We hope you’ll make the most of this event\, forge new connections\, and leave inspired to explore the boundless possibilities of Operations Research. URL:https://or.ncsu.edu/event/or-seminar-meet-and-greet-08-21-2023/ LOCATION:Angel Plaza\, 915 Partners Way\, 2nd Floor Entrance\, Raleigh\, North Carolina\, 27606 CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/or-seminar-meet-and-greet-08-21-2023-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230505T090000 DTEND;TZID=America/New_York:20230505T110000 DTSTAMP:20260627T001109 CREATED:20260129T204928Z LAST-MODIFIED:20260129T204928Z UID:10000088-1683277200-1683284400@or.ncsu.edu SUMMARY:Spring 2023 Graduation Ceremony DESCRIPTION:The ISE\, OR and MEM Spring 2023 Graduation Ceremony begins at 9 am with a reception right after the service. The ceremony will be live-streamed (http://go.ncsu.edu/isegraduation) starting at 10:45 am for friends and families to enjoy. URL:https://or.ncsu.edu/event/spring-2023-graduation-ceremony/ LOCATION:McKimmon Center\, 1101 Gorman Street\, Raleigh\, 27606\, United States CATEGORIES:OR Program Events ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2025/08/graduation-ceremony-default-feature-image-08-2025-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230424T163000 DTEND;TZID=America/New_York:20230424T174500 DTSTAMP:20260627T001109 CREATED:20260129T205318Z LAST-MODIFIED:20260211T150557Z UID:10000089-1682353800-1682358300@or.ncsu.edu SUMMARY:OR Seminar: Hardi Desai DESCRIPTION:Join us in welcoming Hardi Desai\, a Machine Learning Developer in the AI Center of Excellence at SAS\, as she shares her AI research. \nDid You Miss It?\nWatch it Now\nPasscode: 9*^+XHnC \nTitle\nSolving Real-World Challenges using Artificial Intelligence at SAS \nAbstract\nArtificial intelligence (AI) and edge analytics have been buzzwords for a while now. With an exponential increase in the computation power over the last decade\, the combination of the two\, which essentially allows organizations to run AI workloads at the Edge\, is no longer just a buzzword — it’s happening right now with real\, productive use cases. In this session\, Desai will discuss such challenges in real-world use cases along with the analytical solutions developed by SAS. URL:https://or.ncsu.edu/event/or-seminar-hardi-desai-04-24-2023/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-hardi-desai-04-24-2023-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230417T163000 DTEND;TZID=America/New_York:20230417T174500 DTSTAMP:20260627T001109 CREATED:20260129T205934Z LAST-MODIFIED:20260129T205934Z UID:10000090-1681749000-1681753500@or.ncsu.edu SUMMARY:OR Seminar: John Hopkins Applied Physics Lab DESCRIPTION:Join us in welcoming to the OR Program Çağlar Çağlayan\, Donald Richardson\, Breanna Swan and Jamie Yannayon from the John Hopkins Applied Physics Lab. \nDid you Miss it?\nWatch it Now!\nPassword: q6mD2=P% \nTitle\nOR/ML and Systems Engineering at JHU/APL \nAbstract\nJHU APL is a division of Johns Hopkins University. The Lab is the nation’s largest and oldest university-affiliated research center (UARC)\, with 8\,000 + staff members. As a UARC JHU APL operates in the public’s interest rather than stakeholders and provides independent and objective advice to the government. The Lab serves as a bridge between academia\, industry\, and government by employing expertise in using technology and applied systems engineering to create operational capabilities. The presentation will highlight various projects within the Health and Human Systems group at JHU/APL. The group’s mission is to engineer health and human-machine systems to improve resilience to health threats\, transform complex sociotechnical systems\, and revolutionize operational care delivery. \nBiographies\n\ncaglar.caglayan@jhuapl.edu\nÇağlar Çağlayan joined JHU/APL in 2020. He is an operations research scientist\, focusing on the use and development of optimization\, simulation\, and machine learning approaches for clinical decision-making problems. He received his master’s degree from North Carolina State University and doctoral degree from the Georgia Institute of Technology. Before joining the lab\, he worked at the University of Maryland School of Business as a research associate and at Clemson University Department of Industrial Engineering as an assistant professor. \n\ndonald.richardson@jhuapl.edu\nDonald Ricardson is an Operations Researcher and Supervisor at the Johns Hopkins University Applied Physics Laboratory. His work focuses on applying predictive modeling\, optimization\, and simulation in the healthcare setting. Donald received his Ph.D. and Master’s degrees from the University of Michigan’s Industrial and Operations Engineering Department. \n\nbreanna.swan@jhuapl.edu\nBreanna is an industrial engineer in the Health and Human-Machine Systems group at JHU-APL. She holds a Ph.D. in Industrial and Systems Engineering with a Statistics minor from North Carolina State University\, an M.S. in Mathematics from UW-Milwaukee\, and a B.S. in mathematical physics. Her research interests include integrating techniques like predictive modeling\, decision theory\, simulation\, optimization\, bioinformatics and more to develop frameworks that improve health and wellbeing through data-driven decision support tools. \n\njamie.yannayon@jhuapl.edu\nJamie Yannayon is a health systems engineer and public health analyst supporting analysis efforts for military medicine spanning mission-level medical planning\, medical capability development\, operational medical logistics\, casualty modeling\, medical quality and safety\, and health research portfolio planning. She leads integration of APL’s technical efforts in the field with military medicine sponsors and subject matter experts\, with field experience working at military treatment facilities (MTFs) and military bases in the U.S. and Japan\, as well as at Defense Health Headquarters (DHHQ). Jamie received a B.S. in Industrial and Systems Engineering from NC State University and a Master of Public Health (MPH) from Johns Hopkins Bloomberg School of Public Health. URL:https://or.ncsu.edu/event/or-seminar-john-hopkins-applied-physics-lab-04-17-2023/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-john-hopkins-apl-04-17-2023-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230410T163000 DTEND;TZID=America/New_York:20230410T174500 DTSTAMP:20260627T001109 CREATED:20260129T210308Z LAST-MODIFIED:20260211T150717Z UID:10000091-1681144200-1681148700@or.ncsu.edu SUMMARY:OR Seminar: Ben Rachunok DESCRIPTION:Join us in welcoming the OR Program’s own faculty member\, Ben Rachunok\, as he shares his research linking stainability and resilience. \nDid you miss it?\nWatch it Now\nPassword: u^.fN=v3 \nTitle\nApplying Operations Research Methods to Link Sustainability and Resilience \nAbstract\nResilience is often conceptualized as the ability for socio-ecological systems to bounce back after disturbance. Resilience with sustainability is a relatively new idea conceptualized as bouncing forward to better (more just and sustainable) future states of environmental\, social\, and economic conditions. Operationalizing the idea of sustainability with resilience has thus far been challenging owing to the numerous ways that communities and systems change in the face of natural hazards and climate change. This talk will first provide an overview of the importance of operationalizing sustainability and resilience together and will then present two methods aiming to bridge this gap. The first is a series of data processing steps to extract disaster-related information from social media data\, the second will describe Contrastive Community Networks (CCNs)\, a method for quantifying how sustainable resilience after disruptions based on unsupervised clustering techniques. I will show through a case study how CCNs can be used to identify risk factors within a community that catalyze or inhibit sustainable resilience\, and contrast this with current\, recovery-focused resilience methods. \nbiography\nBen Rachunok is Assistant Professor in the Industrial & Systems Department of North Carolina State University. Prior to joining NC State he was a postdoc in the Civil and Environmental Engineering Department at Stanford University\, and was a fellow of the 2021 cohort of the Rising Environmental Leaders Program at the Stanford Woods Institute for the Environment. Ben was formerly an R&D Intern at the Center for Computing Research at Sandia National Labs. He received his BS in Industrial & Systems Engineering from North Carolina State University\, and holds a Ph.D. in Industrial Engineering from Purdue University. He is a member of INFORMS\, IISE and is a council member in Society for Risk Analysis. URL:https://or.ncsu.edu/event/or-seminar-ben-rachunok-04-10-2023/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-ben-rachunok-04-12-2023-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT END:VCALENDAR