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DTSTART;TZID=America/New_York:20230213T163000
DTEND;TZID=America/New_York:20230213T174500
DTSTAMP:20260627T081914
CREATED:20260129T215007Z
LAST-MODIFIED:20260211T151131Z
UID:10000099-1676305800-1676310300@or.ncsu.edu
SUMMARY:OR Seminar: Katie Homar
DESCRIPTION:Join us in welcoming NC State’s Katie Homar\, Director of Academic and Engineering Writing Support at the Graduate School\, as she discusses writing programs. \nZoom Meeting\nhttps://ncsu.zoom.us/j/91749207591?pwd=UnhkSldaQ290RG0rYitSVVZZK0lDUT09\nMeeting ID: 917 4920 7591\nPasscode: 303411 \nTitle\nGraduate School Engineering Writing Programs \nSession Description\nIn this session\, you will learn about opportunities to develop your academic and professional writing skills from the Graduate School. We will discuss the formats of our programming\, the benefits of participating\, and how you can get involved this semester. Previous program participants will also be available to share their experiences. \nBiography\nWith more than 10 years of experience in teaching writing\, Homar has a strong background in writing across disciplines\, rhetoric\, and teaching English to speakers of other languages (TESOL). In her current role with the Graduate School\, she designs and delivers writing-oriented professional development programming for graduate and postdoc trainees across disciplines. Prior to joining NC State\, Homar was a Brittain Postdoctoral Fellow at Georgia Institute of Technology’s Writing and Communication Program. She holds a Ph.D. in English and a TESOL certificate from the University of Pittsburgh.
URL:https://or.ncsu.edu/event/or-seminar-katie-homar-02-13-2023/
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-katie-homar-02-13-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230206T163000
DTEND;TZID=America/New_York:20230206T174500
DTSTAMP:20260627T081914
CREATED:20260129T220011Z
LAST-MODIFIED:20260129T220011Z
UID:10000101-1675701000-1675705500@or.ncsu.edu
SUMMARY:OR Seminar: Juan Borrero
DESCRIPTION:Join us in welcoming Juan Borrero\, an assistant professor from the Industrial Engineering and Management Department at Oklahoma State University\, as he shares his research. \nZoom Meeting\nhttps://ncsu.zoom.us/j/91749207591?pwd=UnhkSldaQ290RG0rYitSVVZZK0lDUT09\nMeeting ID: 917 4920 7591\nPasscode: 303411 \nTitle\nA Robust Optimization Approach to Enhance Community Resilience under Tornado Hazards \nAbstract\nCatastrophic tornadoes cause severe damage and threaten the overall well-being of many communities across the US.  Recent research has shown that the resilience of existing structures to tornadoes can be enhanced by implementing simple retrofitting strategies\, such as improving the cover and nailing patterns of roofs. Whereas at the federal level retrofitting is now seen as a valid tool to prepare for disasters\, agencies at the local level rarely consider retrofitting in their emergency preparedness plans. In this talk\, we consider a decision-maker (a local emergency management agency or a public-private consortium) who seeks to allocate resources in retrofitting and recovery strategies to minimize the population dislocation in an urban area due to an uncertain tornado. As tornado paths cannot be forecast reliably\, we model the problem using two-stage robust optimization: retrofitting decisions are made in the first stage\, and recovery decisions are made in the second stage after observing the tornado. We assume that tornado paths can be represented as line segments and that a location is affected by the tornado if it is sufficiently close to the line segment\, which results in a mixed-integer non-linear uncertainty set. To solve the problem\, we use a decomposition column-and-constraint generation algorithm that requires solving a challenging two-level optimization subproblem at each iteration.  As this subproblem cannot be tackled by standard ‘dualize and combine’ techniques\, we design a decomposition branch and cut (DBC) algorithm that adds two types of constraints on the fly. Particularly\, the initial constraints of the master relaxation and the feasibility check of the DBC are constructed by exploiting the geometric properties of the uncertainty set. Numerical results are reported using real data from Joplin\, MO\, which show that there can be reductions of up to 20% in worst-case population dislocation by investing $15 million in retrofitting and recovery. The results also show that our approach can outperform random retrofitting policies by margins close to 20% and that the model does not suffer from over-conservativeness. Moreover\, we show that the population dislocation exhibits a considerable ‘diminishing returns’ behavior with respect to budget: beyond $15 million\, the reduction in population dislocation is not significant. \nBiography\nJuan S. Borrero is an Assistant Professor in the School of Industrial Engineering and Management at Oklahoma State University. He holds a B.Sc. in Mathematics and an M.Sc. in Industrial Engineering\, both from the University of Los Andes\, Bogota\, Colombia\, and holds a Ph.D. in Industrial Engineering from the University of Pittsburgh (2017). His research interests are mainly in the area of optimization under uncertainty. Methodologically\, his focus is on bilevel\, robust\, network and mixed-integer optimization\, probability\, and stochastic processes. From his doctorate onwards\, he has focused on sequential hierarchical decision-making problems with uncertainty and learning\, including applications such as smuggling interdiction\, defender-attacker problems\, and commit or defer problems. More recently\, he has worked in applications such as preparedness and response against tornado hazards\, UAV routing for intelligence\, surveillance\, and reconnaissance missions\, supply operations under uncertain rippled attacks\, and influence problems in social networks\, among others. His research has been funded by ONR\, AFOSR\, and by an NSF CAREER award.
URL:https://or.ncsu.edu/event/or-seminar-juan-borrero-02-06-2023/
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-juan-borrero-02-06-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230130T163000
DTEND;TZID=America/New_York:20230130T174500
DTSTAMP:20260627T081914
CREATED:20260130T133823Z
LAST-MODIFIED:20260211T151301Z
UID:10000102-1675096200-1675100700@or.ncsu.edu
SUMMARY:OR Seminar: Kevin Flores
DESCRIPTION:Join us in welcoming Kevin Flores\, an assistant professor from the Mathematics Department here at NC State University\, as he discusses learning differential equation models from noisy biological data. \nZoom Meeting\nhttps://ncsu.zoom.us/j/91749207591?pwd=UnhkSldaQ290RG0rYitSVVZZK0lDUT09\nMeeting ID: 917 4920 7591\nPasscode: 303411 \nAbstract\nEquation learning aims to discover differential equations that describe the underlying dynamics of time series data. Biological systems have unique challenges in applying equation learning\, namely\, the observed data are sparsely measured and have high levels of proportional error noise. Moreover\, equation learning methods can suffer from the model specification problem in which the governing differential equation model must be specified a priori either explicitly or as a library of candidate terms. This poses a challenge for biological systems\, which are often described by nonlinear terms with unknown exponents. These issues help explain why equation learning has seen very few applications in real-world biological systems. In this talk\, I will discuss methods that were developed to overcome these challenges. The methodology is demonstrated on simulated data of biological transport from the Fisher-KPP equation\, experimental data of collective cell migration in scratch assays\, and agent-based model simulations of a birth-death-migration process on a 2-d lattice. \nBiography\nKevin Flores joined NC State in August 2015 as a Chancellor’s Faculty Excellence Program cluster hire in Precision Medicine. He is an associate professor in the Department of Mathematics and is a member of the Center for Research in Scientific Computation. Flores’ research focuses on mathematical modeling\, optimal experimental design and uncertainty quantification with applications to precision medicine\, systems and synthetic biology\, and environmental toxicology.\nHe earned a Ph.D. in applied mathematics from the School of Life Sciences at Arizona State University. Previously\, he was a postdoctoral fellow in NC State’s Department of Mathematics. He was a postdoctoral associate in the School of Life Sciences at Arizona State University and a bioinformatician in the Division of Biomedical Statistics and Informatics at the Mayo Clinic. He currently serves as co-chair of the Methods for Biological Modeling subgroup for the Society for Mathematical Biology and as an Associate Editor for the journal Mathematical Biosciences and Engineering.
URL:https://or.ncsu.edu/event/or-seminar-kevin-flores-01-30-2023/
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-kevin-flores-01-30-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230109T163000
DTEND;TZID=America/New_York:20230109T174500
DTSTAMP:20260627T081914
CREATED:20260130T134429Z
LAST-MODIFIED:20260130T134429Z
UID:10000104-1673281800-1673286300@or.ncsu.edu
SUMMARY:OR Seminar: Xiaoyan "X.Y." Han
DESCRIPTION:Join us in welcoming Xiaoyan “X.Y.” Han\, a Ph.D. candidate from the Operations Research and Information Engineering Department at Cornell University. \nZoom Meeting\nhttps://ncsu.zoom.us/j/91749207591?pwd=UnhkSldaQ290RG0rYitSVVZZK0lDUT09\nMeeting ID: 917 4920 7591\nPasscode: 303411 \nAbstract\nOver the last decade\, research in machine learning and optimization emerged as a dominant concern in all fields of industrial and academic research\, with several key venues dominating the league tables for science-wide citation impact. From this milieu emerges a powerful research paradigm that is driven by the identification and analysis of pervasive phenomena discovered in realistic\, large-scale experiments. In many cases\, it delivers immediate improvements in key analytics algorithms affecting large communities of users; in other cases\, it delivers lasting insights about the behavior of such algorithms. \nIn this talk\, I discuss my own work under this emerging paradigm\, which has delivered both real-world solutions as well as intellectual insights: They include the discovery of the now-widely-studied Neural Collapse phenomenon in deep net training\, the Survey Descent method for nonsmooth optimization and collaborations with the Frick Art Reference Library in NYC and the Veolia North America Utilities company. \nBiography\nX.Y. Han is a Ph.D. candidate supervised by Adrian S. Lewis at Cornell ORIE; previously\, he earned an MS from Stanford Statistics—where he began still-ongoing research mentored by David L. Donoho—and a BSE from Princeton ORFE. He discovered the now-widely-studied Neural Collapse phenomenon in deep neural network training (with V. Papyan and D.L. Donoho). He invented the Survey Descent method for nonsmooth optimization (with A.S. Lewis)—while also maintaining real-world collaborations with the Frick Art Reference Library in NYC\, the USC Keck School of Medicine\, and the Veolia North America utility company. Recently\, his work on Neural Collapse won the ICLR 2022 Outstanding Paper Award\, and his work on Survey Descent was a finalist for the ICCOPT 2022 Best Paper Prize.
URL:https://or.ncsu.edu/event/or-seminar-xiaoyan-xy-han-01-09-2023/
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-xiaoyan-han-01-09-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221215T133000
DTEND;TZID=America/New_York:20221215T160000
DTSTAMP:20260627T081914
CREATED:20260130T134721Z
LAST-MODIFIED:20260130T134721Z
UID:10000105-1671111000-1671120000@or.ncsu.edu
SUMMARY:Fall 2022 Graduation Ceremony
DESCRIPTION:The OR Fall 2022 Graduation Ceremony begins at 1:30 pm with a reception following the ceremony. The event will be live-streamed starting at 1:15 pm for friends and families to enjoy.
URL:https://or.ncsu.edu/event/fall-2022-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:20221205T163000
DTEND;TZID=America/New_York:20221205T174500
DTSTAMP:20260627T081914
CREATED:20260130T135703Z
LAST-MODIFIED:20260130T135703Z
UID:10000106-1670257800-1670262300@or.ncsu.edu
SUMMARY:OR Seminar: Varun Khemani
DESCRIPTION:Join us in welcoming Varun Khemani from the Operations Research and Advanced Analytics Group at American Airlines to the OR Department. \nDid you Miss it?\nWatch Varun Khemani’s presentation \nTitle\nOR/ML at American Airlines \nAbstract\nPositioned within the Information Technology organization\, the OR&AA team at American Airlines has a long history of being on the leading edge of analyt-ics in the airline domain. Nearly four decades ago we launched the revenue management revolution with our yield management strategy. Today our di-verse team of passionate analytics professionals supports decision making across the airline\, including pricing and revenue management\, fleet and net-work optimization\, crew and flight scheduling\, airport and maintenance opera-tions and customer/social media analytics.  \nThis talk will provide an overview of some of the challenging projects that the team has successfully completed\, for example\, Network Schedule Evaluation System\, Crew Assignment\, Fleet Assignment Model\, Deep-Learning based RM Forecaster\, Enabling Predictive Maintenance Using Analytics\, Baggage Transfer Routing Optimization\, and Classifying Customers’ Tweets. \nBiography\nI have been working as a Predictive Maintenance Data Scientist in the Operations Research and Advanced Analytics (ORAA) group at American Airlines for the past few months. I work with a variety of business units to help develop data-driven solutions to optimize their business operations. I have a PhD in Reliability Engineering from University of Maryland and a Master’s in Industrial Engineering from North Carolina State University (Go Pack!) with a focus on Design of Experiments. Aside from classical Artificial Intelligence/Machine Learning techniques\, I have experience in stochastic optimization reliability\, functional safety and cybersecurity.
URL:https://or.ncsu.edu/event/or-seminar-varun-khemani-12-05-2022/
LOCATION:2321 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2321\, Raleigh\, North Carolina\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-varun-khemani-12-05-2022-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221128T163000
DTEND;TZID=America/New_York:20221128T174500
DTSTAMP:20260627T081914
CREATED:20260130T140312Z
LAST-MODIFIED:20260130T140312Z
UID:10000107-1669653000-1669657500@or.ncsu.edu
SUMMARY:OR Seminar: Destenie Nock
DESCRIPTION:Please join us in welcoming Destenie Nock\, an assistant professor in the Civil and Environmental Engineering Department at Carnegie Mellon. \nOR PRO TIP: All OR 601/801 students must attend in person. Others are welcome to join in person or can join by Zoom. \nDid You Miss It?\nWatch Destenie Nock’s presentation \nTitle\nEnergy Limiting Behavior a Hidden Form of Energy Poverty \nAbstract\nIncome-based energy poverty metrics miss people’s behavior patterns\, particularly those who reduce their energy consumption to limit financial stress. Using a residential electricity consumption dataset\, we determine the outdoor temperature at which households start using home cooling systems. Using this inflection temperature\, we calculate the relative energy poverty within a region\, which we define as the energy equity gap. In our study region\, we find that the energy equity gap between low and high-income groups ranges from 4.7°F to 7.5°F. In 2015-2016\, within our population of 4\,577 households\, we found 86 energy-poor and 214 energy-insecure\, meaning they are at risk of heat-related illness and death. In contrast\, traditional income-based energy poverty metric identified just 141 households as energy insecure. Only three households were defined as energy-poor or energy-insecure by both our temperature-based measure and the traditional income-based measure. This minimal overlap shows the value of considering consumer behavior when identifying energy poverty and energy insecurity. \nBiography\nDestenie Nock is a leader in energy justice\, energy justice\, and sustainable energy transition trade-off analysis. In her role as an Assistant Professor in Civil and Environmental Engineering (CEE) and Engineering and Public Policy (EPP)\, she creates optimization and decision analysis tools that evaluate the sustainability\, equity\, and reliability of power systems in the US and Sub-Saharan Africa. In another project\, she is creating a new measure of energy poverty to help utility companies identify energy-limiting behavior in low-income households\, a hidden form of energy poverty. Nock is also the CEO of Peoples Energy Analytics\, a data-driven company that uses energy analytics to identify energy poverty in vulnerable households. She is also the CSO of DevvStream. Before her current position at CMU\, Nock received her Ph.D. in Industrial Engineering and Operations Research from the University of Massachusetts Amherst. She earned an MSc in Leadership for Sustainable Development at Queen’s University of Belfast and two BS degrees in Electrical Engineering and Applied Math at North Carolina A&T State University. She is the creator of the Black Electricity Blog site\, which posts articles about graduate and undergraduate advice\, and research updates in energy and sustainability.
URL:https://or.ncsu.edu/event/or-seminar-destenie-nock-11-28-2022/
LOCATION:2321 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2321\, Raleigh\, North Carolina\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-destenie-nock-11-28-2026-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221121T163000
DTEND;TZID=America/New_York:20221121T174500
DTSTAMP:20260627T081914
CREATED:20260130T140607Z
LAST-MODIFIED:20260211T151605Z
UID:10000108-1669048200-1669052700@or.ncsu.edu
SUMMARY:OR Seminar: Gabriel Zayas-Cabán
DESCRIPTION:Evaluation of a Split Flow Model for the Emergency Department\nDon’t miss Gabriel Zayas-Cabán\, from the University of Wisconsin-Madison\, as he discusses evaluating an emergency department split flow model. \nOR PRO TIP: All OR 601/801 students must attend in person. Others are welcome to join in person or can join by Zoom. \nDid You Miss It?\nWatch Gabriel Zayas-Caban’s presentation \nTitle\nEvaluation of a Split Flow Model for the Emergency Department \nAbstract\nSplit flow models\, in which a physician rather than a nurse performs triage\, are increasingly being used in hospital emergency departments (EDs) to improve patient flow. Before deciding whether such interventions should be adopted\, it is important to understand how split flows causally impact patient flow and outcomes. We employ causal inference methodology to estimate average causal effects of a split flow model on time to be roomed\, time to disposition after being roomed\, admission decisions\, and ED revisits at a large tertiary teaching hospital that uses a split flow model during certain hours each day. We propose a regression discontinuity (RD) design to identify average causal effects\, which we formalize with causal diagrams. Using electronic health records data (n = 21\,570)\, we estimate that split flow increases average time to be roomed by about 4.6 minutes (95% CI: [2.9\,6.2] minutes) but decreases average time to disposition by 14.4 minutes (95% CI: [4.1\,24.7] minutes)\, leading to an overall reduction in length of stay. Split flow is also found to decrease admission rates by 5.9% (95% CI: [2.3%\, 9.4%]) but not at the expense of a significant change in revisit rates. Lastly\, we find that the split flow model is especially effective at reducing length of stay during low congestion levels\, which mediation analysis partly attributes to early task initiation by the physician assigned to triage. \nBiography\nDr. Zayas-Caban is the Jane R. and Jack G. Mandula Assistant Professor in the Industrial and Systems Engineering Department at the University of Wisconsin-Madison. He also holds an affiliate appointment with the Berbee Walsh Department of Emergency Medicine in the School of Medicine and Public Health. His research is in operations research with an emphasis on healthcare delivery. His recent focus is on emergency department admission decisions and care transitions. He also has some recent work on evaluating the impact of diverting non-violent offenders to substance use disorder treatment. Before coming to Wisconsin\, Gabriel was a President’s Postdoctoral Fellow at the University of Michigan and completed his Ph.D. at Cornell University’s Center for Applied Mathematics\, advised by Professor Mark E. Lewis. He received his B.A. in Mathematics from the University of South Florida.\n  \nDownload Gabriel Zayas-Cabán’s Abstract and Biography
URL:https://or.ncsu.edu/event/or-seminar-gabriel-zayas-caban-11-21-2022/
LOCATION:2321 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2321\, Raleigh\, North Carolina\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-gabriel-zayas-caban-11-21-2022-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221114T163000
DTEND;TZID=America/New_York:20221114T174500
DTSTAMP:20260627T081914
CREATED:20260130T140920Z
LAST-MODIFIED:20260130T141036Z
UID:10000109-1668443400-1668447900@or.ncsu.edu
SUMMARY:OR Seminar: Donald Warsing
DESCRIPTION:Don’t miss Don Warsing\, a professor from NC State’s Poole College of Management. He will be discussing his research on multi-objective optimization of testing protocols to screen for COVID-19. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/93958805097?pwd=azltMmloZlp6dzRLWjBtOUtUdU1pdz09\nMeeting ID: 939 5880 5097\nPasscode: 547206 \nOR PRO TIP: All OR 601/801 students must attend in person. Others are welcome to join in person or can join by Zoom.
URL:https://or.ncsu.edu/event/or-seminar-donald-warsing-11-14-2022/
LOCATION:2321 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2321\, Raleigh\, North Carolina\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-don-warsing-11-14-2022-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221107T163000
DTEND;TZID=America/New_York:20221107T174500
DTSTAMP:20260627T081915
CREATED:20260130T141358Z
LAST-MODIFIED:20260130T141358Z
UID:10000110-1667838600-1667843100@or.ncsu.edu
SUMMARY:OR Seminar: Nabaruna Karmarkar
DESCRIPTION:Please welcome back ISE alumna Nabaruna Karmarkar\, a senior operations research specialist from the SAS Analytics Center of Excellence. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/93958805097?pwd=azltMmloZlp6dzRLWjBtOUtUdU1pdz09\nMeeting ID: 939 5880 5097\nPasscode: 547206 \nOR PRO TIP: All OR 601/801 students must attend in person. Others are welcome to join in person or can join by Zoom.
URL:https://or.ncsu.edu/event/or-seminar-nabaruna-karmarkar-11-07-2022/
LOCATION:2321 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2321\, Raleigh\, North Carolina\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-nabaruna-karmakar-11-07-2022-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221024T163000
DTEND;TZID=America/New_York:20221024T174500
DTSTAMP:20260627T081915
CREATED:20260130T142118Z
LAST-MODIFIED:20260130T142118Z
UID:10000112-1666629000-1666633500@or.ncsu.edu
SUMMARY:OR Seminar: Minh Tang
DESCRIPTION:Please join us in welcoming Minh Tang\, assistant professor from the NC State’s Statistics Department\, as he discusses deviation analysis of randomized singular value decomposition (SVD) and its applications to high-dimensional statistics. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/93958805097?pwd=azltMmloZlp6dzRLWjBtOUtUdU1pdz09\nMeeting ID: 939 5880 5097\nPasscode: 547206 \nOR PRO TIP: All OR 601/801 students must attend in person. Others are welcome to join in person or can join by Zoom. \nAbstract\nRandomized singular value decomposition (RSVD) is a class of computationally efficient algorithms for computing the truncated SVD of large data matrices. Given a symmetric matrix M\, the prototypical RSVD algorithm approximates the k leading singular vectors of M by computing the SVD of M g G Insert Formula M^{g} G; here g is a positive integer and G is a Gaussian sketching matrix. In this talk\, we present statistical properties of RSVD under a general "signal-plus-noise" framework\, i.e.\, the observed matrix is assumed to be an additive perturbation of some true but unknown signal matrix. We first derive upper bounds for the spectral norm and two-to-infinity norm between the approximate singular vectors of the observed matrix and the true singular vectors of the signal matrix. These upper bounds depend on the signal-to-noise ratio (SNR) and the number of power iterations g. A phase transition phenomenon is observed in which a smaller SNR requires larger values of g to guarantee convergence of the spectral and two-to-infinity norms. Finally\, we derive normal approximations for the row-wise fluctuations of the approximate singular vectors and entrywise fluctuations of the observed matrix when projected onto these vectors. We illustrate our results by deriving nearly-optimal performance guarantees for RSVD when applied to three statistical inference problems\, namely\, community detection in networks\, matrix completion\, and PCA with missing data. \nBiography\nMinh Tang received a BS degree from Assumption University (Thailand) in 2001\, an MS degree from the University of Wisconsin Milwaukee in 2004 and a Ph.D. degree from Indiana University Bloomington in 2010\, all in computer science. He was a postdoctoral fellow and subsequently research faculty in the Department of Applied Mathematics and Statistics at Johns Hopkins University. He is currently an assistant professor in the Department of Statistics at North Carolina State University. His research interests include dimensionality reduction and statistical inference for high-dimensional and graph-valued data.
URL:https://or.ncsu.edu/event/or-seminar-minh-tang-10-24-2022/
LOCATION:2321 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2321\, Raleigh\, North Carolina\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-minh-tang-10-24-2022-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221003T163000
DTEND;TZID=America/New_York:20221003T174500
DTSTAMP:20260627T081915
CREATED:20260130T142310Z
LAST-MODIFIED:20260211T151813Z
UID:10000113-1664814600-1664819100@or.ncsu.edu
SUMMARY:OR Seminar: INFORMS Practice Talks
DESCRIPTION:Come out and show your love for the OR and ISE Ph.D. students\, Erik Rosenstrom (OR)\, Srinivasan Balan (ISE)\, Annisa Marlin Masbar Rus (ISE) and Margaret Tobey (OR). They are practicing their talks for the upcoming INFORMS Annual Conference. \nOR PRO TIP: All OR 601/801 students must attend in person. Others are welcome to join in person or can join by Zoom. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/93958805097?pwd=azltMmloZlp6dzRLWjBtOUtUdU1pdz09\nMeeting ID: 939 5880 5097\nPasscode: 547206\n  \nAbstracts\nErik Rosenstrom | Ph.D. Student\, Operations Research\nCatching Diabetic Retinopathy Early with Machine Learning\nDiabetic retinopathy (DR) is a complication of diabetes that can become vision-threatening (VTDR) and cause blindness. In the US\, an estimated 899\,000 diabetic adults have VTDR despite it being preventable with timely treatment. VTDR is difficult to catch due to the slow progression and dependence on patients’ care-seeking behavior. Here we address these challenges by leveraging 20+ years of electronic health records to construct and extend ensemble classifiers to (i) identify patients that will develop VTDR within the next year and (ii) identify those that will develop DR in the next year. We can achieve high recall (>75%) for both classification tasks. This classifier can personalize care coordination to improve utilization and timing without additional patient actions. \nSrinivasan Balan | Ph.D. Student\, Industrial and Systems Engineering\nExperimental Evaluation of Chance-Constrained Models for a Capacitated Stochastic Production Inventory System\nWe consider the problem of planning releases to a capacitated production-inventory system governed by queuing behavior and stochastic demand. We use a non-linear clearing function to represent the queuing behavior of the production system and a shortfall-based chance-constrained (CC) model to obtain scalable approximate solutions. We use a dynamic adaptive decision rule to implement the results of the CC models and evaluate their performance using simulation. \nAnnisa Marlin Masbar Rus | Ph.D. Student\, Industrial and Systems Engineering\nA Comparative Communication Analysis of Two U.S. Hospital Systems’ COVID-19 Communications Using Topic Modeling\nAlthough understanding initial internal communication to manage the COVID-19 pandemic within healthcare systems is important for effective operational strategies\, little is known regarding the themes within hospital-level communications. This study used structural topic modeling (STM) to analyze the internal communications of two healthcare systems from 2/2020 to 5/2021. The analysis also captured the influence of the hospital systems on communication content. COVID-19 communication topics were characterized using STM and their cross-healthcare systems variation to be compared. Variation was found in the main topics discussed across the healthcare systems in responding to the pandemic throughout the specified timeline. \nMargaret Tobey | Ph.D. Student\, Operations Research\nInterpretable Models for the Automated Detection of Human Trafficking in Illicit Massage Businesses\nIllicit massage businesses (IMBs) profit illegally from the labor and sexual exploitation of victim workers. To detect human trafficking in this area\, we combine data from multiple internet sources and train interpretable prediction models to identify human trafficking risk factors and assess each business’s risk level.
URL:https://or.ncsu.edu/event/or-seminar-informs-practice-talks-10-03-2022/
LOCATION:2321 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2321\, Raleigh\, North Carolina\, 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:20220926T163000
DTEND;TZID=America/New_York:20220926T174500
DTSTAMP:20260627T081915
CREATED:20260130T142610Z
LAST-MODIFIED:20260130T142610Z
UID:10000114-1664209800-1664214300@or.ncsu.edu
SUMMARY:OR Seminar: Vincent Yu
DESCRIPTION:Please welcome Vincent Yu\, a postdoctoral research scholar in the Department of Business Management at NC State\, as he discusses the effects of CSR performance and price on consumer purchasing Decisions. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/93958805097?pwd=azltMmloZlp6dzRLWjBtOUtUdU1pdz09\nMeeting ID: 939 5880 5097\nPasscode: 547206 \nOR PRO TIP: All OR 601/801 students must attend in person. Others are welcome to join in person or can join by Zoom.
URL:https://or.ncsu.edu/event/or-seminar-vincent-yu-09-26-2022/
LOCATION:2321 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2321\, Raleigh\, North Carolina\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-vincent-yu-09-26-2022-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220919T163000
DTEND;TZID=America/New_York:20220919T174500
DTSTAMP:20260627T081915
CREATED:20260130T142908Z
LAST-MODIFIED:20260211T152021Z
UID:10000115-1663605000-1663609500@or.ncsu.edu
SUMMARY:OR Seminar: Beth Ashmore and Moira Downey
DESCRIPTION:Please welcome Moira Downey and Beth Ashmore from the NC State Libraries as they host a data publication workshop. They will show you how to prepare your research data for public use. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/93958805097?pwd=azltMmloZlp6dzRLWjBtOUtUdU1pdz09\nMeeting ID: 939 5880 5097\nPasscode: 547206 \nOR PRO TIP: All OR 601/801 students must attend in person. Others are welcome to join in person or can join by Zoom.
URL:https://or.ncsu.edu/event/or-seminar-beth-ashmore-and-moira-downey-09-19-2022/
LOCATION:2321 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2321\, Raleigh\, North Carolina\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-moira-downey-beth-ashmore-09-19-2022-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220912T163000
DTEND;TZID=America/New_York:20220912T174500
DTSTAMP:20260627T081915
CREATED:20260130T143351Z
LAST-MODIFIED:20260130T143351Z
UID:10000116-1663000200-1663004700@or.ncsu.edu
SUMMARY:OR Seminar: Daniela Jones
DESCRIPTION:Please welcome OR faculty member Daniela S. Jones\, an assistant professor of Biological and Agricultural Engineering at NC State\, as she discusses using agriculture analytics to decarbonize our food and energy needs. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/93958805097?pwd=azltMmloZlp6dzRLWjBtOUtUdU1pdz09\nMeeting ID: 939 5880 5097\nPasscode: 547206 \nTitle\nAgriculture Analytics to Decarbonize our Food and Energy Needs \nOR PRO TIP: All OR 601/801 students must attend in person. Others are welcome to join in person or can join by Zoom.
URL:https://or.ncsu.edu/event/or-seminar-daniela-jones-09-12-2022/
LOCATION:2321 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2321\, Raleigh\, North Carolina\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-daniela-jones-09-12-2022-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220829T163000
DTEND;TZID=America/New_York:20220829T174500
DTSTAMP:20260627T081915
CREATED:20260130T143559Z
LAST-MODIFIED:20260130T143559Z
UID:10000117-1661790600-1661795100@or.ncsu.edu
SUMMARY:OR Seminar: New Student Orientation
DESCRIPTION:Welcome new Operations Research students. Don’t miss out on the introduction to the program and an overview of the requirements for new students with Dr. Maria Mayorga. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/93958805097?pwd=azltMmloZlp6dzRLWjBtOUtUdU1pdz09\nMeeting ID: 939 5880 5097\nPasscode: 547206 \nOR PRO TIP: All OR 601/801 students must attend in person. Others are welcome to join in person or can join by Zoom.
URL:https://or.ncsu.edu/event/or-seminar-new-student-orientation/
LOCATION:2321 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2321\, Raleigh\, North Carolina\, 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
END:VCALENDAR