BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Operations Research Graduate Program - ECPv6.15.20//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: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 BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20260308T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20261101T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20251211T130000 DTEND;TZID=America/New_York:20251211T150000 DTSTAMP:20260508T161948 CREATED:20250827T133422Z LAST-MODIFIED:20250827T141902Z UID:10000012-1765458000-1765465200@or.ncsu.edu SUMMARY:Fall 2025 Graduation Ceremony DESCRIPTION:The Fall 2025 Graduation Ceremony begins at 1 pm with a reception right after the service. The ceremony will be live-streamed (http://go.ncsu.edu/isegraduation) starting at 12:45 pm for friends and families to enjoy. The event will be held at the McKimmon Center in Room 2 on NC State’s campus\, and parking is FREE. URL:https://or.ncsu.edu/event/fall-2025-graduation/ 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:20251201T163000 DTEND;TZID=America/New_York:20251201T173000 DTSTAMP:20260508T161948 CREATED:20250827T131227Z LAST-MODIFIED:20260210T202146Z UID:10000011-1764606600-1764610200@or.ncsu.edu SUMMARY:OR Seminar: Brian Lunday DESCRIPTION:Join us in welcoming Brian Lunday\, retired colonel at AFIT\, as he discusses current operations research topics. Alums and friends of the program are always welcome. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/99989048564?pwd=p24TVn1pdVDUBJCvPfWKOCsDcyRblQ.1\nMeeting ID: 999 8904 8564\nPasscode: 638150 \nTitle and Abstract\nMotivating Your Research Pursuits: Iter Meum\, Iter Tuum (My Journey\, Your Journey) \nWhat motivates you to pursue your research? What will influence your development and pursuit of future\, compelling research threads? This talk shares one approach to identify your own research journey\, both in and beyond graduate studies. In doing so\, the speaker will share elements of his experiences that individually and collectively informed his past\, current\, and future research pursuits. Additionally\, this presentation will motivate and share recent research to model and optimally solve instances of a two-player\, adversarial location problem\, heretofore unexamined in the literature: the location set covering disruption problem. \nBiographies\nBrian J. Lunday is a Professor of Operations Research at the Air Force Institute of Technology\, where he teaches linear and nonlinear programming\, networks\, and game theory; advises graduate-level student research; and manages the Master of Science in Operations Research program. His research and advising have yielded six graduated PhD students and 36 graduated master’s students to date\, along with 65 peer-reviewed technical publications related to over $2M of research supporting nine sponsoring agencies. He is also a retired U.S. Army lieutenant colonel\, having served over 20 years in various leadership positions as both a combat engineer and an operations analyst. URL:https://or.ncsu.edu/event/or-seminar-brian-lunday-12-01-2025/ 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/354/2025/08/or-seminar-series-brian-lunday-12-01-2025-featured-image-08-2025-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251124T163000 DTEND;TZID=America/New_York:20251124T173000 DTSTAMP:20260508T161948 CREATED:20250827T130200Z LAST-MODIFIED:20250827T130200Z UID:10000010-1764001800-1764005400@or.ncsu.edu SUMMARY:OR Seminar: Thanksgiving Celebration DESCRIPTION:Join us in welcoming all OR students\, faculty\, staff and alumni to a warm Thanksgiving celebration of community\, gratitude and Wolfpack spirit. All alumni and friends of the OR Program are invited. \nThe Importance of Thanksgiving Celebration\nThanksgiving is more than a holiday. It is a time when you reflect\, show gratitude\, and build connections. You pause from busy routines and appreciate the people and opportunities around you. As a result\, you see how even small blessings can shape your life. \nFor students\, faculty\, staff\, and alumni\, Thanksgiving also strengthens community. When you gather\, you feel part of something larger. Therefore\, you remember that you share experiences\, values\, and purpose with others. Through a shared meal\, you connect across generations and backgrounds. \nIn addition\, Thanksgiving highlights generosity. You practice kindness\, offer support\, and give back in meaningful ways. For example\, you might volunteer\, share your time\, or encourage a friend. These actions extend the holiday’s spirit beyond one day. \nMost importantly\, Thanksgiving reminds you of togetherness. When you celebrate\, you grow stronger as a community. Moreover\, you recognize that gratitude can guide your actions all year. In this way\, Thanksgiving becomes more than a tradition. \nUltimately\, the holiday encourages you to reflect\, give thanks\, and act with kindness. By doing so\, you carry its meaning forward. URL:https://or.ncsu.edu/event/or-2025-thanksgiving/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Program Events ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2025/08/or-seminar-series-thanksgiving-celebration-11-24-2025-featured-image-08-2025-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251117T163000 DTEND;TZID=America/New_York:20251117T173000 DTSTAMP:20260508T161948 CREATED:20251103T140811Z LAST-MODIFIED:20260210T202627Z UID:10000014-1763397000-1763400600@or.ncsu.edu SUMMARY:OR Seminar: Umut Dur DESCRIPTION:Join us in welcoming Umut Dur\, Truist Distinguished Professor of Economics\, as he discusses improving access to quality Chinese education. Alums and friends of the program are always welcome. \nDid you Miss It?\nDon’t worry\, Watch it Now!\nPasscode: p@*ZEr4U \nTitle and Abstract\nWho Gets the Bonus? High School Admission Reforms in China \nChina implements reforms to improve access to quality high school education for students from underperforming middle schools by awarding bonus points to a select group of students. Our study reveals significant flaws in practice due to challenges in determining how bonuses should be distributed. We propose a choice rule that “endogenously’’ identifies bonus-recipients and show that it is the unique acceptant and fair choice rule that efficiently assigns the bonus. Embedded in the deferred acceptance (DA) mechanism\, it ensures stability\, strategy-proofness\, and constrained optimality among the mechanisms assigning bonuses efficiently and fairly. Empirical analysis shows that our proposal significantly improves representation for underperforming schools and effectively assigns the bonus to the “right’’ students. \nBiographies\nUmut Dur is a Truist Distinguished Professor of Economics and an Operations Research Graduate Program faculty member at NC State University. He is a University Faculty Scholar and an Academy of Outstanding Teachers member. His research is on market design\, focusing on school choice\, college admissions\, and affirmative action policies. He has been involved in the design of public school admission procedures in Wake County\, and his research played key roles in the redesign of public school admission procedures in Boston and Chicago. He is an academic advisor for the Measuring\, Selection\, and Placement Center (OSYM) in Turkey\, the organization that runs the centralized college placement procedure for more than 2 million students annually. URL:https://or.ncsu.edu/event/or-seminar-umut-dur-11-17-20205/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Seminar Series ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251110T163000 DTEND;TZID=America/New_York:20251110T173000 DTSTAMP:20260508T161948 CREATED:20250827T125151Z LAST-MODIFIED:20260210T202729Z UID:10000009-1762792200-1762795800@or.ncsu.edu SUMMARY:OR Seminar: Nasser Salmasi DESCRIPTION:Join us in welcoming Nasser Salmasi\, Principal Operations Research Scientist at Simple Rose\, as he discusses current operations research topics. Alums and friends of the program are always welcome. \nJoin Zoom Meeting\nCan’t make it in-person?Watch it Here\nMeeting ID: 999 8904 8564\nPasscode: 638150 \nTitle and Abstract\nOptimal Scheduling Solutions through Constraint Enhancement for Minimizing Breaks in Round Robin Sports Competitions \nIn this study\, we examine the compact single round-robin sports scheduling problem to minimize the number of breaks. Because this goal differs from reducing travel distances or costs\, it introduces unique scheduling challenges. Furthermore\, we focus on break reduction because consecutive home or away games can create unfair advantages and reduce excitement. By limiting breaks\, we aim to ensure fairness\, boost fan engagement\, and simplify team logistics. \nAlthough the problem is not NP-hard\, we use the classical Circle Method to find an optimal break solution. However\, this method often yields schedules with poor practical quality due to a high carry-over effect. Moreover\, it becomes ineffective when real-world constraints arise. Until now\, only one mathematical model has addressed break minimization in general form. Unfortunately\, that model struggles with problems involving more than 14 teams. \nIn contrast\, we develop a highly efficient mathematical model that optimally solves instances with up to 30 teams. Additionally\, our model addresses common practical constraints commonly found in real-world scheduling scenarios. To demonstrate its effectiveness\, we apply it to the 2024–25 UEFA Champions League preliminary round. Remarkably\, our model produces a schedule with only four breaks\, which improves upon the official schedule’s 62 breaks. Finally\, its performance is confirmed by solving several benchmark single-round-robin problems that were previously unsolved in the literature. \nBiographies\nNasser Salmasi serves as a principal operations research scientist at SimpleRose\, a software development company in the United States. Due to his strong background in operations research\, he contributes to solving complex optimization problems across various industries. Previously\, he spent eight years as a senior operations research scientist at Corning Incorporated\, a company specializing in the manufacture of optical fiber and cable. During that period\, he developed advanced models that improved production efficiency and resource allocation. \nBefore joining Corning\, Salmasi worked as an associate professor in the Department of Industrial Engineering at Sharif University of Technology in Tehran\, Iran. Moreover\, he supervised over 50 graduate students and published more than 40 papers in international\, peer-reviewed journals. His academic work demonstrated consistent innovation in applied research and quantitative analysis. \nSalmasi earned his Ph.D. in Industrial Engineering from Oregon State University. Additionally\, he holds both an MSc and a BSc degree in Industrial Engineering from Sharif University of Technology. His main research areas include applied operations research\, scheduling\, and simulation. Through this expertise\, he continues to bridge academic theory with industrial application. URL:https://or.ncsu.edu/event/or-seminar-nasser-salmasi-11-10-2025/ 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/354/2025/08/or-seminar-series-nasser-salmasi-11-10-2025-featured-image-08-2025-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251103T163000 DTEND;TZID=America/New_York:20251103T173000 DTSTAMP:20260508T161948 CREATED:20250826T205512Z LAST-MODIFIED:20260210T203626Z UID:10000008-1762187400-1762191000@or.ncsu.edu SUMMARY:OR Seminar: ORGSA Panel DESCRIPTION:Join the Operations Research Graduate Student Association (ORGSA) as they discuss current topics of interest to new and current students\, including how to prepare for your upcoming qualifying exam. All OR alumni and friends are welcome. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/99989048564?pwd=p24TVn1pdVDUBJCvPfWKOCsDcyRblQ.1 \nMeeting ID: 999 8904 8564\nPasscode: 638150 \nPanelist Biographies\nWill Kirschenman\nWill Kirschenman has served 15 years in the U.S. Army\, first as an Engineer and now as an Operations Research / Systems Analyst (FA49). He is in his final year of the Operations Research (OR) Ph.D. program and will subsequently join the OR department faculty at the Naval Postgraduate School in Monterey\, California. His research focuses on multi-level prioritized packing for both general and military applications\, developing efficient metaheuristic and matheuristic algorithms to solve these problems. He and his wife have three children and enjoy fitness\, the outdoors\, and spending time together as a family. \nCameron Lisy\nCameron is a 6th year PhD student in Operations Research whose research and career interests include fossil fuel market dynamics and how they impact the cost and reliability of the power grid. \nAndrew Shaeffer\nAndrew Shaeffer is 23 years old from Cleveland\, Ohio. He graduated from the US Air Force Academy with a Bachelors of Science in Operations Research at US Air Force Academy in 2024. Additionally\, he graduated with a Masters of Science in Operations Research at NC State in December 2025. He was then assigned at JB Langley-Eustis in Hampton\, VA where he worked as an Operations Research Analyst providing support to Air Combat Command. His thesis involves using Simulation to Optimize Batting Lineups in Major League Baseball. His hobbies include running\, playing sports\, watching sports\, lifting\, movies\, trivia\, and painting. \nElizabeth Harris\nElizabeth Harris is a third year Ph.D. student in Operations Research. She has a bachelors of science in Mathematics and Chemistry from Furman University. Elizabeth is working with Dr. Rachunok and her research interests are developing\, however she’s currently looking into the interactions between power and cell outages after natural disasters. Outside of school Elizabeth enjoys singing and is even in an a capella group at NC State! URL:https://or.ncsu.edu/event/or-seminar-informs-11-03-2025/ 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/354/2025/08/or-seminar-series-orgsa-panel-11-03-2025-featured-image-08-2025-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251020T163000 DTEND;TZID=America/New_York:20251020T173000 DTSTAMP:20260508T161948 CREATED:20250826T204428Z LAST-MODIFIED:20251021T121803Z UID:10000007-1760977800-1760981400@or.ncsu.edu SUMMARY:OR Seminar: INFORMS Practice Talks DESCRIPTION:Come out and support OR Ph.D. Students as they practice their talks for the upcoming INFORMS Annual Conference. \nDid You Miss It?\nDon’t worry. You can Watch it here.\nPasscode: #2%kENkQ \nStudents\n\nJoshua Grassel\nRegan Richardson\nHou-An Chen\nCameron Lisy\n\nTalk Title\, Abstract and Biographies\nJoshua Grassel\n\nStress Testing the Numerical Stability of LP and MIP Solvers \nModern solvers for linear programming (LP) and mixed-integer programming (MIP) are indispensable tools in optimization\, yet they can yield incorrect results due to roundoff errors from floating-point arithmetic. These errors\, such as reporting suboptimal solutions as optimal or misidentifying problems as infeasible\, cast doubt on solver reliability. Their impact is particularly acute in domains requiring high numerical precision\, such as biochemical modeling\, astrophysics simulations\, compiler optimization\, and mathematical proofs. To mitigate these issues\, various strategies have been developed\, including presolve scaling\, algorithm tuning\, and exact arithmetic subroutines. However\, current evaluation practices rely heavily on standard problem libraries\, which may not expose numerical weaknesses in a consistent or generalizable way. This research proposes a novel framework for generating synthetic LP instances that systematically stress test solvers’ numerical robustness. Inspired by worst-case complexity constructions\, the framework allows control over key parameters\, such as variable count and coefficient precision\, enabling exploration of solver behavior under varying numerical stress. Each generated problem is guaranteed to have an exactly representable input data in floating-point\, ensuring that any observed errors originate from solver internals rather than input encoding. This approach provides a systematic method for testing solver reliability and benchmarking numerical stability. The presentation showcases results from applying this framework to a range of commercial and open-source solvers\, highlighting both their strengths and limitations when facing numerically challenging LP instances. \nJoshua Grassel earned his Bachelor’s degree in Industrial Engineering from California Polytechnic State University in 2021. During his undergraduate studies\, he completed three internships—two in manufacturing engineering with defense subcontractors and one in logistics engineering with a wine and spirits bottling and distribution company. Joshua began his PhD in Industrial Engineering at Arizona State University in Fall 2021 and transferred to the Operations Research PhD program at NC State in Fall 2023. His research has spanned topics such as the wisdom of crowds and sustainable solid waste management. Currently\, he is focusing on optimization algorithms with a special interest in numerical precision. Outside of academia\, Joshua enjoys cooking\, playing board games\, running\, cycling\, and exploring the outdoors with his wife and dog.\n \nRegan Richardson\n\nExamining the Unintended Impacts of Disruptions to the Illicit Drug Market on Violent Crime and Overdose Death \nThe use of illicit substances remains an ongoing and widespread part of society\, with the illegal drug market estimated to be 1% of the total global trade. The true scale of this market is unknown because it is an illicit underground trade that is poorly understood\, dynamic\, and complex. While there have been trends towards decriminalization or legalization of marijuana in the United States\, the overarching policy and strategy has been consistently been to allocate large amounts of resources to law enforcement agencies to disrupt and dismantle illicit distribution networks. Therefore\, the purpose of this project is to utilize national integrated data to develop an understanding of the impact of law enforcement disruptions to the illicit drug supply on both public health (e.g. overdoses) and public safety (e.g. violent crime) outcomes. In the present study\, we utilize multivariate granger-causality to investigate the relationships between police drug seizures and violent crime rates\, and between police drug seizures and overdose death rates using data from the National Incident Reporting System (NIBRS) and the National Center for Health Statistics Mortality Data from CDC WONDER. \nRegan Richardson received her bachelor’s degree in Mathematics with a minor in Data Analytics from Furman University in 2020. She is in her second year of the Operations Research PhD program. Her current area of research is in applications and methodology of causal discovery. Her advisors are Dr. Maria Mayorga and Dr. Osman Ozaltin. In her free time\, Regan enjoys reading\, watching hockey\, and taking ballet classes.\n \nHou-An Chen\n\nBilevel Formulation for Share Allocation in Food Distribution Auctions \nChoice system is a food donation distribution mechanism operated by Feeding America. In Choice\, a specialized currency called “shares” is distributed to food banks\, and is used to bid on food bundles in auctions. Currently\, shares are distributed proportionally to a food bank’s service area population\, which often results in smaller food banks receiving fewer shares and being less likely to win auctions. We study the allocation of shares that leads to a better participation\, using a multi-follower bilevel model to capture the hierarchical and decentralized nature of this decision process. Feeding America\, acting as the leader\, seeks to maximize the minimum food bank utilities. The followers consist of multiple food banks that compete for the goods. Each food bank places bids to win allocations and earn utilities\, which they seek to maximize. This interdependency between food banks is modelled as a generalized Nash equilibrium problem at the lower level. A single-level reformulation is derived and solved by the cut-and-column generation algorithm. Extensive computational experiments provide managerial insights on the operations of Choice. \nHou-An Chen is a Ph.D. student in the Operations Research Program at North Carolina State University. His research centers on game theory\, with a particular focus on applications in food bank operations. In particular\, he employs methodologies such as market design and bilevel programming to address complex decision hierarchies and improve resource allocation in humanitarian logistics.\n \nCameron Lisy\n\nModelling Extreme Weather Risks to Daily US Natural Gas Markets Under Near-term Growth in Electric Power and LNG Export Demand \nRecent steady growth in the production of U.S. domestic natural gas has kept up with rising demand in the power sector\, and prices have remained stable despite rising geopolitical headwinds from conflict and uncertainty in trade relationships. But this balance of fundamentals may shift in the near term as more LNG export terminals have begun operations and hyperscale datacenter growth encourages the building of more gas turbines by utilities to meet their 24/7 demand for electricity. Simultaneously\, natural gas infrastructure vulnerability to extreme winter storms\, most recently experienced from weakened polar vortex events in 2019\, 2021\, 2023\, 2024 and 2025 have raised concerns about the potential for disruption at critical times of year when customers and grid operators rely on natural gas deliveries for space heating. To understand the impacts these events may have on the price and availability of natural gas\, we develop a daily market clearing model of U.S. production and state-to-state transmission infrastructure. \nCameron is a 6th year PhD student in Operations Research whose research and career interests include fossil fuel market dynamics and how they impact the cost and reliability of the power grid. URL:https://or.ncsu.edu/event/or-seminar-informs-10-20-2025/ 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/354/2025/08/or-seminar-series-phd-students-informs-10-20-2025-featured-image-08-2025-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251006T163000 DTEND;TZID=America/New_York:20251006T173000 DTSTAMP:20260508T161948 CREATED:20250826T203750Z LAST-MODIFIED:20260210T203804Z UID:10000006-1759768200-1759771800@or.ncsu.edu SUMMARY:OR Seminar: Kristy Borda and Alp Tezbasaran DESCRIPTION:Join us in welcoming Kristy Borda and Alp Tezbasaran\, NC State Librarians\, as they discuss using library spaces\, services and AI tools. Alums and friends of the program are always welcome. NOTE: Due to the hands-on nature of this event\, it is in-person ONLY. \nTitle and Abstract\nResearch 101: Libraries Spaces\, Services and AI Tools \nIn this session\, you will learn about the Libraries spaces and services that exist to support graduate student learning and research. You will also learn about AI tools that can support your research process at various stages\, including literature searching\, citation management\, data cleaning and preparation and coding. \nBiographies\nKristy Borda is a Research Librarian for Sciences & Instructional Strategy at NC State University Libraries. She holds a Master’s of Library and Information Science from Kent State University and a Bachelor’s of Science from The College of William & Mary. Kristy collaborates with faculty and students across STEM disciplines through instruction and outreach. She is currently focused on integrating AI literacy into research and learning. \nAlp Tezbasaran is a Data Science Librarian in the Data Science Services Department at NC State University Libraries. In his role\, Alp leads instruction on AI and Python programming topics\, provides consultation on data science topics and tools and manages the Data Labs (Dataspace and Data Experience Lab) to provide specialized hardware and software to patrons. Alp is a Ph.D. student in Nuclear Engineering\, a research adjunct in the Astronomy and Astrophysics Research Lab at the NC Museum of Natural Sciences and a research affiliate at Coastal Carolina University. His research focuses on high-performance computing\, AI and ML applications in nuclear engineering\, specifically in probabilistic risk assessment. URL:https://or.ncsu.edu/event/or-seminar-kirsty-borda-alp-tezbasaran-10-06-2025/ 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/354/2025/08/or-seminar-series-kristy-borda-alp-tezbasaran-10-06-2025-featured-image-10-2025-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250929T163000 DTEND;TZID=America/New_York:20250929T173000 DTSTAMP:20260508T161948 CREATED:20250826T201207Z LAST-MODIFIED:20260210T203930Z UID:10000004-1759163400-1759167000@or.ncsu.edu SUMMARY:OR Seminar: Gal Mendelson DESCRIPTION:Join us in welcoming ISE’s own Gal Mendelson\, assistant professor\, as he discusses efficient\, scalable and sustainable computing. Alums and friends of the program are always welcome. \nDid You Miss It?\nDon’t worry. You can watch it here.\nPasscode: 6zHW0&j6 \nTitle and Abstract\nLoad Balancing using Sparse Communication \nLoad balancing across parallel servers remains a central challenge in service systems. For example\, servers need accurate\, real-time congestion information. However\, obtaining this data often requires heavy communication. Therefore\, this step can be impractical in fast-changing settings like data centers or energy-saving wireless networks. \nIn his talk\, Mendelson will explain how sparse communication improves resource use in parallel servers. First\, he will present a new load-balancing framework. Next\, he will show how it separates communication\, information\, and routing decisions. Consequently\, this approach allows algorithms to perform well even with limited communication. \nThe presentation will also highlight both theory and numerical results. Specifically\, Mendelson will show that sparse communication can approximate queue lengths. Moreover\, he will demonstrate that these approximations maintain strong performance while reducing communication by more than 90 percent. \nFinally\, he will connect this research to his broader agenda. In particular\, he aims to ensure energy is used efficiently and sustainably during the rise of artificial intelligence and the energy revolution. \nBiographies\nGal Mendelson joined the Edward P. Fitts Department of Industrial and Systems Engineering at NC State University in 2025. His research focuses on applied probability\, data science\, and operations research. In particular\, he studies how energy systems can use resources more efficiently. As a result\, his work helps manage complex systems more effectively. \nBefore NC State\, Mendelson taught at the Technion – Israel Institute of Technology from 2023 to 2025. He earned a Ph.D. in Electrical Engineering from the Technion in 2020. Then\, in 2022\, he completed a postdoctoral fellowship at the Stanford Graduate School of Business. These experiences shaped his current research path. \nIn addition\, Mendelson brings industry expertise. He worked at IBM Research from 2017 to 2018. Later\, he joined NVIDIA from 2020 to 2021. In both roles\, he tackled scalability challenges in data centers. Furthermore\, he earned several honors\, including the INFORMS Applied Probability Society Best Student Paper Award in 2019. He also received recognition from the INFORMS George B. Dantzig Dissertation Award and the Fulbright Postdoctoral Scholarship. URL:https://or.ncsu.edu/event/or-seminar-gal-mendelson-09-29-2025/ 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/354/2025/08/or-seminar-series-gal-mendelson-09-29-2025-featured-image-08-2025-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250922T163000 DTEND;TZID=America/New_York:20250922T173000 DTSTAMP:20260508T161948 CREATED:20250826T202406Z LAST-MODIFIED:20250923T123959Z UID:10000005-1758558600-1758562200@or.ncsu.edu SUMMARY:OR Seminar: Renran Tian DESCRIPTION:Join us in welcoming ISE’s own Renran Tian\, assistant professor\, as he discusses human–AI driving interactions. Alums and friends of the program are always welcome. \nDid You Miss It?\nDon’t worry\, you can watch it here.\nPasscode: dLQ*2Dj8 \nTitle and Abstract\nArtificial Social Intelligence in Automated Driving \nAutonomous vehicles (AVs) must operate as technical systems and as active participants in complex social traffic environments. \nFocus\nThis seminar introduces Artificial Social Intelligence as a foundation for enabling AVs to interpret\, predict\, and engage in social interactions with human road users. \nResearch Highlights\nGrounded in explainable AI\, cognitive AI\, and human computation\, my work on human–AI interaction addresses: \n\nOn the road: pedestrian behavior prediction and intention modeling.\nInside the vehicle: transparent and interpretable decision-making for passengers.\n\nLooking Ahead\nThe seminar concludes with open questions on how to incorporate dual-process decision-making and metacognition into AVs and approaches for developing user-centered AI explanations. \nBiography\nRenran Tian is an Assistant Professor in the Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University. He earned his Ph.D. in Industrial Engineering from Purdue University in 2013\, after completing his master’s and bachelor’s degrees at Tsinghua University in Beijing\, China. \nTian has published more than 70 refereed research papers. His research focuses on Human-Centered Computing\, Human–AI Interaction\, Cognitive Psychology\, and Deep Learning. \nHonors and Awards \n\nInstitutional Lead Award\, IEEE Intelligent Transportation Systems Society (2025)\nNSF CAREER Award (2022)\nBest Paper Award\, HCI International (2019) URL:https://or.ncsu.edu/event/or-seminar-renran-tian-09-22-2025/ 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/354/2025/08/or-seminar-series-renran-tian-09-22-2025-featured-image-08-2025-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250915T163000 DTEND;TZID=America/New_York:20250915T173000 DTSTAMP:20260508T161948 CREATED:20250825T174552Z LAST-MODIFIED:20260210T204049Z UID:10000003-1757953800-1757957400@or.ncsu.edu SUMMARY:OR Seminar: Archis Ghate DESCRIPTION:Join us in welcoming Archis Ghate\, ISE department head at the University of Minnesota\, as he discusses Inverse Markov Decision Processes. Alums and friends of the program are always welcome. \nDid You Miss It?\nThat’s okay. You can Watch it Here.\nAccess Password: ^CRm8^B@ \nTitle and Abstract\nInverse Markov Decision Processes \nInverse optimization seeks parameter values that make the chosen decision variables optimal. In contrast\, forward optimization computes optimal decision variables from given parameters. This talk will focus on inverse optimization in Markov decision processes (MDPs). Specifically\, we will study how to impute rewards and transition probabilities that make a policy optimal. \nTo start\, we will review prior work on imputing rewards. After that\, we will formulate the problem of imputing transition probabilities. While both issues rely on mathematical programming forms of Bellman’s equations\, they differ in difficulty. In particular\, imputing rewards is easier because the problem is linear. However\, imputing transition probabilities is harder since the issue is bilinear. Therefore\, we will present exact and approximate methods for solving versions of this bilinear challenge. \nNext\, we will show how to use uniformization to extend these methods to continuous-time MDPs. Finally\, we will also describe an extension to semi-Markov decision processes. \nBiographies\nArchis Ghate is a professor and the department head of industrial and systems engineering at the University of Minnesota. Previously\, he worked as a professor of industrial engineering and held the Fluor Endowed Chair at Clemson University. \nBefore joining Clemson\, Ghate was an industrial and systems engineering professor at the University of Washington in Seattle. During that time\, he worked as associate chair for six years. In addition\, he held a College of Engineering endowed professorship for five years. \nHe began his career at the University of Washington as an assistant professor. He earned a Ph.D. in industrial and operations engineering from the University of Michigan in 2006. He also received an M.S. in management science and engineering from Stanford in 2003. Moreover\, he completed his undergraduate studies at the Indian Institute of Technology\, Bombay\, in 2001. \nGhate has received many honors. For example\, he earned the NSF CAREER Award. He also won an excellence in teaching operations research award and a best paper award from IISE. Furthermore\, he has received several teaching accolades from the University of Washington. His students have also excelled by winning the Dantzig Dissertation Award and the Bonder Scholarship in healthcare operations research from INFORMS. \nIn addition\, Ghate has served on the editorial boards of several journals. He also held leadership roles\, including general chair of the INFORMS 2019 Annual Meeting and program co-chair of the 2021 IISE Annual Conference. URL:https://or.ncsu.edu/event/or-seminar-archis-ghate-09-15-2025/ 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/354/2025/08/or-seminar-series-archis-ghate-09-15-2025-featured-image-08-2025-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250908T163000 DTEND;TZID=America/New_York:20250908T173000 DTSTAMP:20260508T161948 CREATED:20250825T151438Z LAST-MODIFIED:20260210T204750Z UID:10000002-1757349000-1757352600@or.ncsu.edu SUMMARY:OR Seminar: Jerome Rutinowski and Sven Franke DESCRIPTION:Join us in welcoming Jerome Rutinowski and Sven Franke\, Chairs of Material Handling and Warehousing at TU Dortmund University\, as they discuss TU Dortmund University and their Inno Lab. Alums and friends of the program are always welcome. \nDid you Miss it?\nDon’t worry\, you can watch it now\nAccess Password: 5!fy8M.i \nTitle and Abstract\nIntroduction to TU Dortmund University\, Germany\nTU Dortmund University stands in the center of the Rhine-Ruhr metropolitan region\, home to 10 million residents. As a result\, the university has played a decisive role in shaping Europe’s logistics hub. The Chair of Material Handling and Warehousing interprets logistics in a modern and forward-looking way. In the Inno Lab\, researchers envision future logistics as a cyber-physical system. The lab\, in turn\, supports a wide range of applications. For example\, researchers design robots that achieve speeds of 10 m/s. They also test swarms of drones for innovative logistics solutions. \nConsequently\, the lab provides a unique environment for advancing logistics innovation. During their talk\, Rutinowski and Franke will introduce the research infrastructure. They will also outline current projects and long-term development plans. In particular\, they will present work on computer vision and mobile robotics. Finally\, they will highlight progress in human activity recognition and related research topics. \nBiographies\nJérôme Rutinowski\nJérôme Rutinowski studied mechanical engineering at Ruhr University Bochum. During his studies\, he spent a semester abroad at Universidad Politécnica de Madrid. In 2020\, he began working as a research associate at the Chair of Material Handling and Warehousing. In 2024\, he defended his Ph.D. dissertation on reliable identification of logistic entities using inherent visual features. Since then\, he has served as Deputy Head of Research and Operations. In this role\, he guides the institute’s strategic direction and scientific development. \nSven Franke\nSven Franke studied industrial engineering at TU Dortmund University. During his studies and afterwards\, he worked at the Fraunhofer Institute for Material Flow and Logistics in the Warehousing and IT Planning department. Since 2022\, he has served as a research associate at the Chair of Material Handling and Warehousing. His research centers on communication interfaces in mobile robotics for industrial peripherals. In addition\, he examines definitions and perceptions of terms in mobile robotics as part of his Ph.D. URL:https://or.ncsu.edu/event/or-seminar-jerome-rutinowski-sven-franke-09-08-2025/ 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/354/2025/08/or-seminar-series-jerome-rutinowski-sven-franke-09-08-2025-featured-image-08-3035-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250828T150000 DTEND;TZID=America/New_York:20250828T163000 DTSTAMP:20260508T161948 CREATED:20250827T140256Z LAST-MODIFIED:20250827T140256Z UID:10000013-1756393200-1756398600@or.ncsu.edu SUMMARY:Fall 2025 CCEE and ISE Ice Cream Social DESCRIPTION:Start the Fall 2025 semester by joining CCEE and ISE students\, staff and faculty for a sweet celebration. Enjoy creamy ice cream from Goodberry’s with friends as you connect with your campus community. Next\, try refreshing dairy-free sorbet from Andia’s while you meet new people and catch up with classmates. Remember that Delta Airport Consultants generously support this event through a thoughtful donation. URL:https://or.ncsu.edu/event/fall-2025-ccee-ise-ice-cream-social/ LOCATION:Angel Plaza\, 915 Partners Way\, 2nd Floor Entrance\, Raleigh\, North Carolina\, 27606 CATEGORIES:OR Program Events ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2025/08/fall-2025-ccee-ise-ice-cream-social-08-28-2025-featured-image-08-2025-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250825T163000 DTEND;TZID=America/New_York:20250825T173000 DTSTAMP:20260508T161948 CREATED:20250825T143043Z LAST-MODIFIED:20260210T205721Z UID:10000001-1756139400-1756143000@or.ncsu.edu SUMMARY:Fall 2025 Welcome Back Orientation DESCRIPTION:This seminar session is devoted to welcoming everyone back and introducing the new graduate students. All OR students and faculty are invited to attend. After the introductions\, an orientation session is held to review requirements for new students and to answer questions. \nCan’t make it in person?\nZOOM URL: https://ncsu.zoom.us/j/99989048564?pwd=p24TVn1pdVDUBJCvPfWKOCsDcyRblQ.1\nMeeting ID: 999 8904 8564\nPasscode: 638150 URL:https://or.ncsu.edu/event/fall-2025-welcome-back-orientation/ LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States CATEGORIES:OR Program Events ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2025/08/operations-research-leadership-maria-mayorga-1500x844-08-2025-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250502T090000 DTEND;TZID=America/New_York:20250502T103000 DTSTAMP:20260508T161948 CREATED:20260128T201512Z LAST-MODIFIED:20260128T202533Z UID:10000032-1746176400-1746181800@or.ncsu.edu SUMMARY:Spring 2025 Graduation Ceremony DESCRIPTION:The OR Spring 2025 Graduation Ceremony begins at 9 a.m. 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. The event will be held at the McKimmon Center in Room 2 on NC State’s campus and parking is FREE. URL:https://or.ncsu.edu/event/spring-2025-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:20250422T180000 DTEND;TZID=America/New_York:20250422T210000 DTSTAMP:20260508T161948 CREATED:20260128T205413Z LAST-MODIFIED:20260128T205431Z UID:10000033-1745344800-1745355600@or.ncsu.edu SUMMARY:Annual Alumni Reunion 2025 DESCRIPTION:Join us for a special night of food and drinks as we celebrate another alumni reunion at The Raleigh Times! Don’t miss this opportunity to socialize with fellow OR faculty and students\, as well as\, OR alums and their families. We will also celebrate student achievements and your families are welcome to attend. \n\nMaria Mayorga\, OR Director\, will welcome you and share updates on the program’s latest developments and\nfuture plans.\nEnjoy a delicious dinner with entrees\, appetizers\, desserts\, and a selection of beer and wine.\nHear a special address from the Outstanding Alumni Award recipient.\nCelebrate the achievements of our newest graduates.\nWatch as the Salah E. Elmaghraby Distinguished Student Award is presented.\nGrab some free OR swag at various points throughout the event! URL:https://or.ncsu.edu/event/annual-alumni-reunion-2025/ LOCATION:The Raleigh Times\, 14 E. Hargett Street\, Raleigh\, North Carolina\, 27601 CATEGORIES:OR Program Events ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/alumni-annual-reunion-04-22-2025-featured-image-01-2026-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250414T163000 DTEND;TZID=America/New_York:20250414T174500 DTSTAMP:20260508T161948 CREATED:20260128T210233Z LAST-MODIFIED:20260210T210425Z UID:10000034-1744648200-1744652700@or.ncsu.edu SUMMARY:OR Seminar: Subramanian Pazhani DESCRIPTION:Join us in welcoming Subramanian Pazhani\, Senior Operations Research Specialist at the SAS Institute\, as he discusses optimization applications. Alums and friends of the program are always welcome. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/99042438351?pwd=OTRIWG3ySiA21TubNEVBxpsvnxLRoa.1 \nMeeting ID: 990 4243 8351\nPasscode: 973594 \nTitle and Abstract\nApplications of optimization for real-world problems: Implementations in a semiconductor industry and a logistics industry \nOptimization is the act of making something as fully effective as possible and we benefit from its application every day in our lives. There are numerous applications of optimization in industries. In this talk\, I will discuss two optimization-based solution implementations in real industry.\nIn the first part\, we will discuss an implementation in a semiconductor manufacturing facility to minimize operating cost and improve throughput for wafer cleaning processes. Wafer cleaning process in semiconductor fabrication comprises multiple steps at various stages of the product flow to remove particles and oxidize organic contaminants\, using different chemicals. We consider J equipment groups which run I clean process steps and uses M different chemicals. We propose a bi-criteria mixed integer linear programming model to allocate daily demands to the equipment groups with the objectives of improving cycle time & throughput by minimizing the maximum utilization of the equipment groups and minimize operating costs by reducing chemical usage across these equipment groups. We also propose a priority based dispatching algorithm to translate the model output and implement in a dispatching system. Results show that the model reduces chemical pre-dispense resulting in significant cost saving\, improved throughput due to cascading\, and balanced utilization across the equipment groups.\nIn the second part\, we will focus on custom-built solutions that combine heuristics with optimization algorithms for optimizing routing decisions for a large logistics provider in the US. Complex business problems typically need advanced analytics tools and solutions to efficiently solve them\, with flexibility to create analytics pipelines that use complementary solution techniques. We will discuss customers’ business problems and share how to use multi-stage analytics solution approaches to efficiently solve them. \nBiography\nSubramanian (Subbu) Pazhani is a Senior Data Scientist with the Applied AI & Modelling\, R&D\, SAS Institute\, Cary\, North Carolina. His main responsibilities include designing\, developing\, and implementing optimization-based solutions for a variety of industries including Health Care\, Transportation\, Manufacturing\, and Education. Subbu is also an adjunct faculty member at the North Carolina State University and teaches Data Analytics for Industrial Engineers\, and Design & Analysis of Production and Service Systems. He holds a Ph.D. in Industrial Engineering & Operations Research from the Pennsylvania State University\, University Park & a Master’s degree in Supply Chain Management from IIT Madras\, India. Prior to SAS\, Subbu also has 6+ years of semiconductor manufacturing experience where he developed analytical and optimization models for improving wafer manufacturing operations\, focused on improving cycle times\, productivity\, and variability reduction using optimization & dispatching.\nHis research areas include network design in closed loop supply chains\, inventory optimization in supply chains\, inventory routing problems\, designing supply chains for resiliency\, and dispatching and cycle time optimization in Semiconductor fabs. He has published a focus book titled Design and Analysis of Closed Loop Supply Chain Networks and contributed to book chapters. He has also published several research articles in prestigious peer-reviewed journals such as International Journal of Production Economics\, Computers & Industrial engineering\, International Journal of Production Research\, Applied Mathematical Modelling\, Applied Soft Computing\, and International Journal of Operational Research. URL:https://or.ncsu.edu/event/or-seminar-subramanian-pazhani-04-14-2025/ LOCATION:2115 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2115\, 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-subramanian-pazhani-04-14-2025-featured-image-12-2024-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250407T163000 DTEND;TZID=America/New_York:20250407T174500 DTSTAMP:20260508T161948 CREATED:20260128T211944Z LAST-MODIFIED:20260210T211119Z UID:10000035-1744043400-1744047900@or.ncsu.edu SUMMARY:OR Seminar: ORGSA DESCRIPTION:Join the ORGSA as they discuss how to prepare for your upcoming qualifying exam. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/99042438351?pwd=OTRIWG3ySiA21TubNEVBxpsvnxLRoa.1 \nMeeting ID: 990 4243 8351\nPasscode: 973594 \nTitle\nThe Operations Research Graduate Student Association presents: Preparing for Qualifying Exams \nSeminar Panelists\n\nJoshua Grassel\nElizabeth Harris\nCaroline Hayes\n\nBiographies\nJoshua Grassel\nJoshua Grassel earned his Bachelor’s degree in Industrial Engineering from California Polytechnic State University in 2021. During his undergraduate studies\, he completed three internships—two in manufacturing engineering and one in logistics engineering. Josh began his PhD in Industrial Engineering at Arizona State University in Fall 2021 and transferred to the Operations Research PhD program at NC State in Fall 2023. His research under Dr. Escobedo has spanned topics from the wisdom of crowds to sustainable solid waste management . Currently\, he is focusing on optimization algorithms with an interest in numerical precision. Outside of academia\, Josh enjoys cooking\, playing board games\, running\, and exploring the outdoors with his wife and dog. \nElizabeth Harris \nElizabeth Harris is a second year Ph.D. student in Operations Research. She earned her Bachelor of Science in Mathematics and Chemistry from Furman University in Greenville\, SC. Her research interests are developing\, however\, she is currently working with Dr. Rachunok\, looking into the interactions between power and cell outages after natural disasters. \nCaroline Hayes\nCaroline Hayes is a second year Ph.D. student in Operations Research. She received her Bachelor of Science degree in Mathematics from Christopher Newport University in Newport News\, VA and is about to get her master’s degree from North Carolina State University in OR in the fall. She works with Dr. Rachunok and is interested in optimizing resilience. Her current research is looking at access to essential goods\, and comparing planning decisions pre and post natural disaster to see how access is impacted\, with hopes to shift this work toward improving energy system resilience. URL:https://or.ncsu.edu/event/or-seminar-orgsa-04-07-2025/ LOCATION:2115 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2115\, 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:20250331T163000 DTEND;TZID=America/New_York:20250331T174500 DTSTAMP:20260508T161948 CREATED:20260128T213339Z LAST-MODIFIED:20260210T212031Z UID:10000037-1743438600-1743443100@or.ncsu.edu SUMMARY:OR Seminar: Jorge Haddock DESCRIPTION:Join us in welcoming Jorge Haddock\, Professor of Business Administration at the University of Puerto Rico\, as he discusses embracing interdisciplinary. Alums and friends of the program are always welcome. \nDid You Miss It?\nDon’t worry. We recorded it.\nAccess Password: K*^mF!@0 \nTitle and Abstract\nA Systems View Embracing Interdisciplinary: Exploring Scope\, Detail\, and the Interplay of Disciplines \nIn this presentation\, the speaker\, with over 45 years of experience in academia and consulting projects\, reflects on the lessons learned in teaching Operations Research and its practical applications. Topics include critical thinking\, quantitative analysis\, modeling and analysis\, algorithms and heuristics\, and communication skills. The subjects are discussed with a historical perspective\, as well as numerous examples of his teaching\, research\, and consulting experiences. \nBiography\nJorge Haddock served as the 12th president of the University of Puerto Rico (UPR)\, which at the time boasted 50\,000 students on 11 campuses\, 4\,000 faculty members\, and 6\,000 employees. Noteworthy successes in this role included regaining UPR’s Middle States Commission on Higher Education (MSCHE) accreditation\, managing $300 million+ in budget cuts without layoffs or campus closures\, increasing research funding and philanthropic donations\, creating a program that covers tuition for around 80% of undergraduate students\, and improving global rankings.\nCurrently\, he is a professor at UPR’s Rio Piedras campus\, where he is responsible for business administration courses and research.\nIn previous roles\, Haddock served as dean and professor in the College of Management at the University of Massachusetts Boston\, where he initiated an ambitious strategic plan\, increased graduate enrollment and expanded graduate programs. Under his leadership as dean of the School of Management at George Mason University\, the undergraduate business program jumped 16 spots on U.S. News & World Report’s annual rankings\, and for the first time\, was included on the Best Part-time MBA and Best Online Graduate Business Program lists.\nIn his time as dean of the Robins School of Business at the University of Richmond\, he completed an $18 million campaign\, raising $12 million in two years and underwriting the expansion of academic facilities for the school.\nHe is a transformational trainer and coach for Benchmark\, ChoiceCenter Leadership University\, Mastery in Transformational Training\, and Descubrir\, and he has consulted for companies such as Mackie Designs\, CSX World Terminals\, Peavey\, Baxter\, Citicorp\, Citibank\, Michelin\, and Cedel.\nHaddock has 100 publications and manuscripts to his name and has completed 20 research projects utilizing $5 million in external funding. He has taught more than 20 different undergraduate and graduate courses\, supervised 15 PhD and 24 master’s students\, and holds one patent. URL:https://or.ncsu.edu/event/or-seminar-jorge-haddock-03-31-2025/ LOCATION:2115 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2115\, 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-jorge-haddock-featured-image-12-2024-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250324T163000 DTEND;TZID=America/New_York:20250324T174500 DTSTAMP:20260508T161949 CREATED:20260128T215307Z LAST-MODIFIED:20260128T215307Z UID:10000039-1742833800-1742838300@or.ncsu.edu SUMMARY:OR Seminar: Mo Liu DESCRIPTION:Join us in welcoming Mo Liu\, assistant professor from NC State’s Department of Statistics\, as he discusses decision-focused optimization. Alums and friends of the program are always welcome. \nDid You Miss It?\nDon’t worry. We recorded the event\nAccess Password: *O2?dHr= \nTitle and Abstract\nValue of One Data Point: Active Label Acquisition in Decision-Focused Learning \nDecision-focused learning refers to machine learning methods that consider the downstream decision-making problem when designing and training prediction models. When building such a prediction model\, using informative data can significantly reduce the expected loss from suboptimal decisions induced by the model. \nThis talk will introduce a sequential data collection method that iteratively gathers informative data within the decision-focused learning framework. It will first review recent developments in decision-focused learning and then focus on the personalized assortment optimization problem. \nWe introduce a novel concept\, the ‘value of one data point\,’ which evaluates the marginal contribution of acquiring a specific customer’s preference to the expected revenue in personalized assortment optimization\, given the existing training set. Notably\, this value drops to zero once the optimal assortment for this specific customer is determined. To estimate this value and identify important customers for acquiring their preferences\, we derive a feature-dependent upper bound. This bound provides significant insights into the importance of each data point for revenue growth. Based on this upper bound\, we develop a personalized incentive policy for effectively collecting survey data from customers to obtain their preferences. Theoretically\, we show that our personalized incentive policy requires smaller cumulative incentives than any fixed incentive policy to achieve the same level of revenue. Additionally\, our numerical experiments with real-world and synthetic datasets validate the effectiveness of our personalized incentive algorithms over fixed strategies. \nBiography\nMo Liu is an assistant professor in the Department of Statistics and Operations Research at the University of North Carolina at Chapel Hill. His research focuses on data-driven decision-making and machine learning\, with a particular emphasis on decision-focused learning—a methodology that designs and trains prediction models to account for decision-making in downstream optimization problems. These downstream problems include real-world applications in revenue management\, such as product recommendation\, assortment optimization and inventory management. Prior to joining UNC-Chapel Hill\, he received his Ph.D. from the University of California\, Berkeley\, in 2024\, and his bachelor’s degree from Tsinghua University in 2019. URL:https://or.ncsu.edu/event/or-seminar-mo-liu-03-24-2025/ LOCATION:2115 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2115\, 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-mo-liu-featured-image-12-2024-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250317T163000 DTEND;TZID=America/New_York:20250317T174500 DTSTAMP:20260508T161949 CREATED:20260128T215510Z LAST-MODIFIED:20260128T215530Z UID:10000040-1742229000-1742233500@or.ncsu.edu SUMMARY:OR Seminar: David Neira DESCRIPTION:Join us in welcoming David Neira\, Assistant Professor of Chemical Engineering at Purdue\, as he discusses quantum discrete optimization. Alums and friends of the program are always welcome. \nDid you Miss It?\nDon’t worry\, we recorded it\nAccess Password: 0XA%r&QG \nTitle and Abstract\nReformulations and Decomposition for Quantum Discrete Optimization: applications in optimal power flow \nQuantum computing has the potential to accelerate specific challenging computational tasks compared to classical computers. In particular\, given the Ising spin model to quadratic unconstrained binary optimization (QUBO) equivalence\, methods have been proposed to tackle discrete optimization through quantum methods. We present a series of tools that allow reformulating discrete nonlinear optimization problems into QUBO and solving them using current quantum computers. Details can be found in https://arxiv.org/abs/2307.02577 and https://github.com/JuliaQUBO/QUBO.jl Given its quadratic formulation\, Alternate Current Optimal Power Flow (ACOPF) appears to be a promising candidate for quantum computers. Nevertheless\, the standard reformulations into a quantum system were found costly\, with small networks requiring thousands of qubits. By analyzing individual constraints\, we developed problem-specific strategies for reducing qubit requirements that are still beyond current-era quantum computer capabilities. Final perspectives of problem decomposition are presented as alternatives to exploit current quantum devices when aiming for practical discrete optimization applications. \nBiography\nDavid E. Bernal Neira is an assistant professor at the Davidson School of Chemical Engineering at Purdue University. He specializes in applying mathematical and computer science tools to address problems relevant to science and engineering\, for example\, physics and chemical\, process\, and energy systems engineering. In particular\, he works in nonlinear discrete optimization\, where\, besides applications\, he has been working in theory\, algorithms\, and software. He has been involved in research and teaching related to these topics for over a decade\, complemented with research in Quantum Computing. URL:https://or.ncsu.edu/event/or-seminar-david-neira-03-17-2025/ LOCATION:2115 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2115\, 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-david-neira-featured-image-12-2024-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250303T160000 DTEND;TZID=America/New_York:20250303T174500 DTSTAMP:20260508T161949 CREATED:20260128T215754Z LAST-MODIFIED:20260128T215817Z UID:10000041-1741017600-1741023900@or.ncsu.edu SUMMARY:OR Seminar: Md Abdul Quddus DESCRIPTION:Join us in welcoming Md Abdul Quddus\, assistant professor at NC State’s Textile Engineering Department\, as he discusses operations research topics. Alums and friends of the program are always welcome. \nDid You Miss It?\nDon’t worry\, we recorded the whole presentation!\nPasscode: sjr8#V+K \nTitle and Abstract\nOptimizing Sustainable Networks for Biomass Pellet Processing Depots Under Supply Uncertainty \nThis study develops a two-stage stochastic mixed-integer programming model to manage multi-purpose pellet processing depots under feedstock supply uncertainty. The model aims to minimize costs and emissions in the supply chain network by considering three Biomass Processing and Densification Depot (BPDD) technologies: conventional pellet processing\, high moisture pellet processing\, and ammonia fiber expansion. A hybrid decomposition algorithm\, combining Sample Average Approximation with an enhanced Progressive Hedging (PH) algorithm\, was used to solve this problem\, with Mississippi and Alabama as testing grounds. The results of the analysis reveal promising insights that could lead to recommendations to help decision makers achieve a more cost-effective environmentally-friendly supply chain network. \nBiography\nMd Abdul Quddus is an assistant professor in the Department of Textile Engineering\, Chemistry and Science at NC State University. He received his Ph.D. in industrial & systems engineering from Mississippi State University in Starkville\, Mississippi. He also has over five years of experience at FedEx Express as a Senior Operations Research Advisor\, where he worked on various logistics research projects. His research focuses on supply chain and logistics\, big data analytics\, stochastic programming\, geospatial analytics for optimization. Additionally\, his work includes the application of AI\, machine learning\, cloud computing and HPC\, and operations research techniques to solve large scale supply chain network and risk management problems. He received multiple Bravo Zulu and leadership excellence awards from FedEx. He also received the Best Paper Award at INFORMS ENRE 2017. URL:https://or.ncsu.edu/event/or-seminar-md-abdul-quddus-03-03-2025/ LOCATION:2115 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2115\, 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-md-abdul-quddus-featured-image-12-2024-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250224T163000 DTEND;TZID=America/New_York:20250224T174500 DTSTAMP:20260508T161949 CREATED:20260128T220030Z LAST-MODIFIED:20260128T220030Z UID:10000042-1740414600-1740419100@or.ncsu.edu SUMMARY:OR Seminar: Wentao Tang DESCRIPTION:Join us in welcoming Wentao Tang\, assistant professor of Chemical Engineering at NC State\, as he discusses dissipative properties for control. Alums and friends of the program are always welcome. \nDid You Miss It?\nhttps://ncsu.zoom.us/rec/share/ecWLi8mYzUZxWejM624xUWQv7zNIJNWt4b9_wy1bFoL_YEz6kXx4SZjmKAcuUt-h.qnbu3mqcJJYyu6p7\nAccess Password: z&H#W56! \nTitle and Abstract\nLearning of Dissipative Properties for Control \nWhile machine learning techniques have been increasingly used for the control of nonlinear systems\, discovering or preserving the structured properties underlying the nonlinearity is an issue of fundamental importance. From a thermodynamics point of view\, conservation and dissipation are the universal laws governing engineering systems\, and the learning of such properties from data not only facilitates the design of controllers with guaranteed performance but also provides physical insights and interpretability. In this talk\, I will introduce the dissipative systems theory and its origin from irreversible thermodynamics\, as well as its connections to convex optimization and dynamic optimization. I will also present some formulations of dissipativity learning for nonlinear systems\, with elementary theoretical analysis and applications to reaction and separation processes\, from my recent research. \nBiography\nWentao Tang is an Assistant Professor in Chemical and Biomolecular Engineering at NC State University. He received his B.S. in Chemical Engineering and B.S. in Mathematics and Applied Mathematics from Tsinghua University in 2015\, and Ph.D. in Chemical Engineering from University of Minnesota in 2020. He was a process control engineer at Shell from 2020 to 2022 prior to joining NC State. His research focuses on developing data-driven model-free control methods for problems in nonlinear control theory\, the analysis of optimization algorithms as dynamical systems\, as well as potential applications in chemical processes. URL:https://or.ncsu.edu/event/or-seminar-wentao-tang-02-24-2025/ LOCATION:2115 Fitts-Woolard Hall\, 915 Partners Way Fitts-Woolard Hall\, Room 2115\, 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-wentao-tang-featured-image-01-2025-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250203T163000 DTEND;TZID=America/New_York:20250203T174500 DTSTAMP:20260508T161949 CREATED:20260128T220222Z LAST-MODIFIED:20260128T220249Z UID:10000043-1738600200-1738604700@or.ncsu.edu SUMMARY:OR Seminar: Greg Hauser DESCRIPTION:Join us in welcoming Greg Hauser\, OR alumnus and founder of OpenSolve\, as he discusses large-scale linear optimization. Alums and friends of the program are always welcome. \nDid you Miss It?\n$1b. For fill-and-flow simulations\, we will discuss how results are used to evaluate the impact of strategic investments. \nBiography\nDavid Cornejo is the Director of Data Science within the Portfolio\, Decision Sciences and Analytics team at GSK. He is responsible for Data Science innovation\, analysis\, and data operations supporting portfolio decision-making and strategic planning. He has previously worked as a data scientist for several organizations\, including McKinsey & Company and Caterpillar. Cornejo received his Doctorate in Operations Research from NC State where his research focused on applications of simulation modeling and optimization in health policy design. URL:https://or.ncsu.edu/event/or-seminar-david-cornejo-11-18-2024/ 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-cornejo-featured-image-08-2024-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20241111T163000 DTEND;TZID=America/New_York:20241111T174500 DTSTAMP:20260508T161949 CREATED:20260129T141421Z LAST-MODIFIED:20260129T141825Z UID:10000047-1731342600-1731347100@or.ncsu.edu SUMMARY:OR Seminar: Itai Gurvich DESCRIPTION:Join us in welcoming Itai Gurvich\, James Allen Professor from Northwestern University\, as he discusses operations research topics. Alums and friends of the program are always welcome. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/93445582296?pwd=FykTWtJLHlZkhaVn6aV4AZrwVmMrF7.1 \nMeeting ID: 934 4558 2296\nPasscode: 051656 \nTitle and Abstract\nOnline Allocation of Reusable Resources: The value of information and the cost of randomness \nItai Gurvich will discuss the problem of dynamically allocating reusable resources to customers of n types. There are d pools of resources and a finite number of units from each resource. If a customer request is accepted\, the decision maker collects a type-dependent reward and the customer occupies\, for a random service time\, one unit from each resource in a set of these. Upon service completion\, these resource units become available for future allocation. This is a loss network: requests that are not accepted leave immediately. The decision maker’s objective is to maximize the long-run average reward subject to the resource-capacity constraint. This is the basic model for revenue management with reusable resources. \nThe goal is to develop a nearly optimal admission control algorithm. In the talk\, Gurvich will consider the online problem against benchmarks that capture the value of information and the cost of randomness. The benchmarks will expose an interesting contrast with the perishable-resource case which serves as the basic model for network revenue management. \nBiography\nItai Gurvich is a professor at the Kellogg School of Management\, Northwestern University. He earned a Ph.D. from the Decision\, Risk and Operations department at Columbia University’s Graduate School of Business in 2008. After his PhD\, he spent 8 years at Kellogg and 4 years at Cornell University’s campus in New York City (Cornell Tech) before returning to Kellogg in 2021. \nHis research interests include performance analysis and optimization of processing networks and the theory of stochastic-process approximations. URL:https://or.ncsu.edu/event/or-seminar-itai-gurvich-11-11-2024/ 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-itai-gurvich-featured-image-08-2024-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20241104T163000 DTEND;TZID=America/New_York:20241104T174500 DTSTAMP:20260508T161949 CREATED:20260129T141619Z LAST-MODIFIED:20260129T141833Z UID:10000048-1730737800-1730742300@or.ncsu.edu SUMMARY:OR Seminar: Hossein Tohidi DESCRIPTION:Join us in welcoming Hossein Tohidi\, Senior OR Specialist from SAS\, as he discusses molecular structure with Graph Neural Networks. Alums and friends of the program are always welcome. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/93445582296?pwd=FykTWtJLHlZkhaVn6aV4AZrwVmMrF7.1 \nMeeting ID: 934 4558 2296\nPasscode: 051656 \nTitle and Abstract\nGraph-Based LogP Prediction: Leveraging Molecular Structure with Graph Neural Networks \nMolecular structures can be effectively represented as graphs\, with atoms as nodes and bonds as edges\, offering rich connectivity patterns crucial for property prediction tasks. LogP\, the logarithm of the partition coefficient\, serves as a pivotal descriptor reflecting a molecule’s hydrophobicity\, influencing its behavior in biological and chemical environments. In this study\, we propose a novel approach utilizing Graph Neural Networks (GNNs) to predict LogP values from molecular graphs directly. \nOur method exploits the inherent graph representation of molecules to learn informative nodes autonomously\, and graph features crucial for LogP prediction. Leveraging SAS Viya capabilities as well as the Torch Geometric Python package\, we train our model on diverse datasets\, ensuring robustness and generalization across various molecular structures. We conduct extensive experiments\, benchmarking our approach against state-of-the-art methods in LogP prediction. Our results underscore the efficacy of our graph-based model in accurately predicting LogP values. \nIn summary\, our work showcases the potential of Graph Neural Networks in elucidating graph properties for LogP prediction. By integrating graph representation learning with molecular property prediction\, we offer a promising framework to enhance drug discovery and molecular design processes. \nBiography\nHossein Tohidi is a Senior Operations Research Specialist at SAS\, working in the SAS R&D in the Network Analytics team. He earned his PhD in Industrial and Systems Engineering from North Carolina State University in 2020\, with a dissertation titled “Expert Systems for Decision Making in Multistage Healthcare Problems\,” supervised by Dr. Osman Ozaltin. URL:https://or.ncsu.edu/event/or-seminar-hossein-tohidi-11-04-2024/ 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-hossein-tohidi-featured-image-08-2024-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20241028T163000 DTEND;TZID=America/New_York:20241028T174500 DTSTAMP:20260508T161949 CREATED:20260129T142039Z LAST-MODIFIED:20260129T142128Z UID:10000049-1730133000-1730137500@or.ncsu.edu SUMMARY:OR Seminar: Tyler Kroon DESCRIPTION:Join us in welcoming Tyler Kroon from NC State’s Libraries as he discusses NC State library resources. Alums and friends of the program are always welcome. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/93445582296?pwd=FykTWtJLHlZkhaVn6aV4AZrwVmMrF7.1 \nMeeting ID: 934 4558 2296\nPasscode: 051656 \nTitle and Abstract\nIntro to the Library and AI-Powered Research Tools \nKroon\, a Research Librarian for Engineering at NC State\, will introduce attendees to library services and resources that they may find useful throughout their time here\, with a focus on recommended databases\, search strategies\, data management\, and citation management. He will also provide a brief overview of some AI-powered tools that he’s found most useful for the research and writing process. This session will incorporate open discussions and demonstrations throughout. \nBiography\nTyler Kroon is a Research Librarian for Engineering at NC State. He plans and teaches library instruction sessions and research workshops and provides research consultation services for engineering students and faculty. He serves as the library liaison to the Civil\, Construction\, and Environmental Engineering\, Industrial and Systems Engineering\, Materials Science and Engineering\, and Mechanical and Aerospace Engineering departments within the College of Engineering. \nKroon also serves on the NC State University Libraries’ Alt-Textbook Team\, working to reduce textbook costs for students\, and the Community\, Culture\, and Belonging Committee\, working to facilitate learning and collaboration in the Libraries that contributes to a more inclusive and equitable campus environment. He co-teaches the 1-credit HON 398 Critical Disinformation course and has a Master’s degree in Library and Information Science from Kent State University and a Bachelor of Science degree from Keuka College. URL:https://or.ncsu.edu/event/or-seminar-tyler-kroon-10-28-2024/ 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-tyler-kroon-featured-image-08-2024-01.jpg ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu END:VEVENT END:VCALENDAR