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DTSTART;TZID=America/New_York:20240129T163000
DTEND;TZID=America/New_York:20240129T174500
DTSTAMP:20260504T075337
CREATED:20260129T170204Z
LAST-MODIFIED:20260129T180627Z
UID:10000074-1706545800-1706550300@or.ncsu.edu
SUMMARY:OR Seminar: Zhishan Guo
DESCRIPTION:Join us in welcoming OR faculty member Zhishan Guo from NC State’s Department of Computer Science as he discusses cyber-physical systems. Alums and friends of the program are always welcome. \nDid You Miss It?\nDon’t worry. We recorded it.\nhttps://ncsu.zoom.us/rec/share/oAIt7fAiIFWv5fK9vTKAZ7seHYBfYRmhgF2i4JSvWWw-nwTUw2AX6n6KMoU7InY0.AaYR0FsyTe913OQM\nAccess Password: Q3?+z5#y \nTitle and Abstract\nResilient and Efficient Real Time Systems via Mixed Criticality —  Towards Certifiable and Intelligent Real-Time CPS\nIn the era of Cyber-Physical Systems (CPS)\, sensing\, communication\, and computing are becoming more affordable and integrated. Many CPS have strict temporal constraints and often of massive scale. This talk discusses our recent and ongoing efforts to incorporate reliable\, interpretable\, and transferable machine learning and real-time scheduling techniques for CPS’s modeling\, design\, and analysis. With various engineering applications\, those solutions shed light on handling challenges in energy efficiency\, security isolation\, system coordination\, reliable prediction & control\, etc.\, of modern CPS. \nBiography\nZhishan Guo is an associate professor in the Department of Computer Science at North Carolina State University\, where he is also the founding director of the Cyber-Physical Systems focused group/center\, and the director of the Real-Time Intelligent Systems lab. He received the Bachelor’s degree (with honor) in Computer Science and Technology from Tsinghua University\, China\, the M. Phil. degree in Mechanical Automation and Engineering from the Chinese University of Hong Kong\, Hong Kong\, and the Ph.D. degree in Computer Science from the University of North Carolina at Chapel Hill. His current research interests lie in real-time scheduling theory\, machine learning theory\, and their applications to Cyber-Physical Systems. He is a recipient of the ACM SIGBED CAREER award\, NSF CRII award\, and has received best paper\, best student paper\, and outstanding paper awards from prestigious conferences such as RTSS and EMSOFT.
URL:https://or.ncsu.edu/event/or-seminar-zhishan-guo-01-29-2024/
LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2023/09/meet-zhishan-guo-the-new-face-in-cyber-physical-systems-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240122T080000
DTEND;TZID=America/New_York:20240122T170000
DTSTAMP:20260504T075337
CREATED:20260129T180944Z
LAST-MODIFIED:20260210T214705Z
UID:10000075-1705910400-1705942800@or.ncsu.edu
SUMMARY:OR Seminar: Stephanie Earnshaw and Kyle Paret
DESCRIPTION:Join us in welcoming Stephanie Earnshaw and Kyle Paret from RTI Health Solutions. They will discuss the role of operations research in pharmaceuticals. Alums and friends of the program are always welcome. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/97198402775?pwd=dGN3ZDdldm1obXNXMTEzUkJlcElLdz09 \nMeeting ID: 971 9840 2775\nPasscode: 557407 \nTitle and Abstract\nThe Role of Operations Research in Access to Pharmaceuticals\nHave you ever wondered what goes into getting pharmaceuticals and medical devices and diagnostics to market?  Patient access to these products is not as simple as going to your doctor and demonstrating a need. Even after demonstrating safety and efficacy in clinical trials\, access may be limited by the primary payer (typically insurance in the US) for a variety of reasons. Decision-analytic models provide a framework for compiling clinical and economic evidence in a systematic fashion which enables the demonstration and communication of a product’s value which can be assess by healthcare decision makers. In this presentation\, we will review the market access hurdles for these types of products and present examples of real-world case studies using decision analytic modeling methods to solve problems in the pharmaceutical industry. \nBiography\nStephanie Earnshaw\nStephanie Earnshaw is Senior Vice President of Health Economics at RTI Health Solutions.  Dr. Earnshaw’s research focus is in applying decision-analysis techniques to support access to pharmaceutical\, biotechnology\, and diagnostic and medical device products through performing health economics and outcomes research.  Her areas of specialization include mathematical programming (constrained optimization) and Markov\, simulation\, and other state transition modeling.  She has developed innovative mathematical models using these methods to determine the cost effectiveness\, pricing strategy\, predict clinical outcomes\, allocate resources\, and cost care pathways particularly in support of medical diagnostics.  She also has experience in budget impact modeling where she has published extensively on this topic as one of the lead authors of “Budget-Impact Analysis of Health Care Interventions: A Practical Guide” and is a key instructor for the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) budget impact courses. She has published her work in several peer-reviewed journals and her therapeutic area focus includes cardiovascular disease\, gastrointestinal disorders\, respiratory disease\, acute care\, infectious disease\, osteoporosis\, and vaccines. \nShe is a member of the Institute for Operations Research and the Management Sciences and of ISPOR. Dr. Earnshaw has served on the ISPOR Board of Directors and as Chair of the Audit Committee and is the current Educational Council Chair and member of ISPOR’s the Health Science Policy Committee\, Short Course Committee\, and Finance Committee.  She has also held an Adjunct Faculty appointment at the University of North Carolina’s Eshelman School of Pharmacy\, Division of Pharmaceutical Outcomes and Policy\, is honored as a Distinguished Alumni in Industrial and Systems Engineering at North Carolina State University. \nKyle Paret\nKyle Paret is an Associate Director of Health Economics at RTI Health Solutions (RTI-HS). He is experienced in developing decision analytic models to evaluate health and economic implications of health technologies. He has developed models and analyses in the areas of oncology\, cardiovascular diseases (e.g.\, heart failure\, hypertrophic cardiomyopathy)\, rare neurogenerative diseases (e.g.\, amyotrophic lateral sclerosis [ALS]\, Huntington’s Disease)\, and COVID-19 vaccination. Paret also has experience developing strategies to prepare for and respond to Institute for Clinical and Economic Review (ICER) evaluations. Prior to joining RTI-HS\, he worked for nine years as a civilian in the Department of Defense as an Operations Researcher and Cost Engineer. His research has been presented at various professional conferences and published in peer-reviewed journals.
URL:https://or.ncsu.edu/event/or-seminar-stephanie-earnshaw-and-kyle-paret-01-22-2024/
LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-earnshaw-paret-01-22-2024-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240108T163000
DTEND;TZID=America/New_York:20240108T174500
DTSTAMP:20260504T075337
CREATED:20260129T181204Z
LAST-MODIFIED:20260129T181236Z
UID:10000076-1704731400-1704735900@or.ncsu.edu
SUMMARY:OR Seminar: Spring 2024 Welcome Event
DESCRIPTION:Join OR Director Maria Mayorga in welcoming the new operations research students to the program. This is an opportunity for students to meet each other and learn about OR policies and practices. Alums and friends of the program are always welcome.
URL:https://or.ncsu.edu/event/or-seminar-spring-2024-welcome-event-01-08-2024/
LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2023/07/mayorga-named-or-director-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231113T163000
DTEND;TZID=America/New_York:20231113T174500
DTSTAMP:20260504T075337
CREATED:20260129T181639Z
LAST-MODIFIED:20260129T181639Z
UID:10000077-1699893000-1699897500@or.ncsu.edu
SUMMARY:OR Seminar: Rob Pratt
DESCRIPTION:Join us in welcoming Rob Pratt\, Senior Manager of Analytics R&D\, Operations Research & IML at SAS\, as he shares his research. \nDid You Miss It?\nDon’t worry. Watch it now!\nPassword: 1#rbVd=& \nTitle\nMy Favorite Optimization Modeling Tricks \nAbstract\nI will describe several optimization modeling tricks that I have used in consulting projects for SAS customers.  Many of these tricks have yielded quick solutions for problems where a straightforward approach would instead take “forever” to solve. \nBiography\nRob Pratt has worked at SAS since 2000 and is a Senior Manager in the Scientific Computing department in the Analytics R&D division. He manages a team of developers responsible for the optimization modeling language and solvers for linear\, mixed integer linear\, quadratic\, and conic optimization. He earned a B.S. in Mathematics (with a second major in English) from the University of Dayton and both an M.S. in Mathematics and a Ph.D. in Operations Research from The University of North Carolina at Chapel Hill.
URL:https://or.ncsu.edu/event/or-seminar-rob-prastt-11-13-2023/
LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-rob-pratt-11-13-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231106T163000
DTEND;TZID=America/New_York:20231106T174500
DTSTAMP:20260504T075337
CREATED:20260129T184106Z
LAST-MODIFIED:20260129T184132Z
UID:10000078-1699288200-1699292700@or.ncsu.edu
SUMMARY:OR Seminar: Shawn Mankad
DESCRIPTION:Join us in welcoming Shawn Mankad\, an assistant professor in Analytics as part of the Department of Business Management at Poole College of Management\, as he shares his research. \nDid you Miss It?\nDon’t worry\, you can watch it now\nAccess Password: #ew=0Fb&\n \nDownload Mankad’s Abstract and Biography \nTitle\nAssessing Undiversified Holding and Contagion Risks in the Banking Sector with Bayesian Semi-Non-Negative Matrix Factorization \nAbstract\nRecent financial crises and bank failures have focused attention on identifying and measuring bank health\, interconnectedness\, and systemic risk. In this paper\, we propose a novel methodology to estimate the portfolio composition of banks as a function of daily stock returns. Building on a model where individual bank balance sheets connect through common holdings\, we derive and solve a constrained semi-non-negative matrix factorization problem that results in daily estimates of bank portfolios\, which we use to measure undiversified holding and contagion risks in the banking sector. The factorization problem has a unique structure where the rows (corresponding to banks) of one latent matrix factor (representing asset holdings) are subject to probability constraints. We develop a Markov chain Monte Carlo estimator that resolves the well-known issues of scale and rotational invariance in non-negative matrix factorization models. We validate our estimates of asset holdings by showing they match real balance sheet data reported in regulatory filings and demonstrate utility for prudential supervision and risk management by identifying banks as troubled well before they failed in the first quarter of 2023. \nBiography\nShawn Mankad is an assistant professor of analytics at NCSU Poole College of Management. His research focuses on developing and applying statistical methods for addressing business\, economic\, and policy issues. He specializes in using text documents to explain and predict economic variables\, and in the modeling of networks to characterize network structure evolution over time. Prior to NCSU\, Prof. Mankad held faculty positions at Cornell University and the University of Maryland and was a visiting scholar at the Federal Reserve Bank of Philadelphia. His undergraduate degree is from Carnegie Mellon University in mathematics\, and he received his PhD in statistics from the University of Michigan.
URL:https://or.ncsu.edu/event/or-seminar-shawn-mankad-11-06-2023/
LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-shawn-mankad-11-06-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231030T163000
DTEND;TZID=America/New_York:20231030T174500
DTSTAMP:20260504T075337
CREATED:20260129T184430Z
LAST-MODIFIED:20260129T184755Z
UID:10000079-1698683400-1698687900@or.ncsu.edu
SUMMARY:OR Seminar: Andrew Papanicolaou
DESCRIPTION:Join us in welcoming Andrew Papanicolaou\, an Assistant Professor in the Mathematics department here at NC State\, as he shares his research on how the value changes in decentralized finance (DeFi) pools over time. \nDid You Miss It?\nDon’t worry. You can watch it now.\nAccess Password: u6jYxK%n \nTitle\nThe Expected Impermanent Loss in Decentralized Liquidity Provision: Cross-Sectional Evidence from Cryptocurrency Options \nAbstract\nWe propose a continuous-time stochastic model to analyze the dynamics of impermanent loss in liquidity pools in decentralized finance (DeFi) protocols. We replicate the impermanent loss using option portfolios for the individual tokens. We estimate the risk-neutral joint distribution of the tokens by minimizing the Hansen–Jagannathan bound\, which we then use for valuation of options on relative prices and for calculation of implied correlations. In our analyses\, we investigate the relationship between the impermanent loss\, the implied quantities\, and their risk premia in the cross-section of liquidity pools. We test our theory using options data from a major centralized derivative exchange. \nBiography\nAndrew Papanicolaou received the B.S. degree in mathematical sciences from the University of California\, Santa Barbara\, the M.S. degree in financial mathematics from the University of Southern California\, and the Ph.D. degree in applied mathematics from Brown University. He is currently an Associate Professor with the Department of Mathematics\, North Carolina State University. Before joining North Carolina State University\, he was an Assistant Professor with the Department of Finance and Risk Engineering\, New York University. His research interests include computational finance and stochastic systems for control and optimization\, such as non-Markovian and high-dimensional optimizations. He works on problems in financial data analysis and the challenges associated with these highly complex data sets.
URL:https://or.ncsu.edu/event/or-seminar-andrew-papanicolaou-10-30-2023/
LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-andrew-papanicolaou-10-30-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231023T163000
DTEND;TZID=America/New_York:20231023T174500
DTSTAMP:20260504T075337
CREATED:20260129T185204Z
LAST-MODIFIED:20260129T185251Z
UID:10000080-1698078600-1698083100@or.ncsu.edu
SUMMARY:OR Seminar: Adolfo Escobedo
DESCRIPTION:Join us in welcoming Adolfo Escobedo\, an associate professor in the ISE department here at NC State\, as he shares his research on the advances in Principled Preference Aggregation. \nDid You Miss It?\nDon’t worry. You can watch it here.\nPasscode: ^6E5L7eT \nTitle\nTheoretical and Computational Advances in Principled Preference Aggregation \nAbstract\nOver the last two decades\, there has been a growing interest in the aggregation of individual preferences (i.e.\, rankings\, ratings\, etc.) into socially desirable choices\, helping to propel the new interdisciplinary field of computational social choice. Advancements in this field are said to provide a counterbalance against “black box” decision-making technologies\, and they have led to improved outcomes in business\, technology\, and various other domains. Yet\, real-world implementation of the more principled methodologies—in the sense that their outputs guarantee desirable socio-theoretical properties—remains severely limited due to a combination of incompatible assumptions and computational difficulties. \nThis talk will discuss recent work that melds insights from social choice theory and multiple mathematical disciplines to scale the applicability of principled aggregation methods for modern contexts\, specifically\, for ranking data that is high-dimensional and contains ties. The presented contributions include new optimization models\, voting properties\, discrete algorithms\, and polyhedral insights. Computational results on synthetic and real-world data extracted from various applications are also discussed. \nBiography\nAdolfo R. Escobedo received his Mathematics B.A. from California State University Los Angeles in 2009 and his Industrial and Systems Engineering Ph.D. from Texas A&M University in 2016. Prior to joining NC State\, he was an assistant professor in the Industrial Engineering program of the School of Computing and Augmented Intelligence at Arizona State University. Escobedo’s research centers on the development of operations research and computational methods and is driven by modern societal challenges. His active areas of research include computational social choice\, crowdsourcing\, sustainable infrastructure development\, circular economy\, and computational linear algebra.
URL:https://or.ncsu.edu/event/or-seminar-adolfo-escobedo-10-23-2023/
LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-adolfo-escobedo-10-23-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231002T163000
DTEND;TZID=America/New_York:20231002T174500
DTSTAMP:20260504T075337
CREATED:20260129T185549Z
LAST-MODIFIED:20260129T185549Z
UID:10000081-1696264200-1696268700@or.ncsu.edu
SUMMARY:OR Seminar: INFORMS Practice Talks
DESCRIPTION:Come out and support OR Ph.D. Students Yamil Essus\, Yining Huang\, Cameran Lisy  and Sebastian Rodriguez Cartes as they practice their talks for the upcoming INFORMS Annual Conference. \nDid you Miss It?\nWatch it Now\nPasscode: i=S49y6B \nAbstract\nYamil Essus\nAdvisor: Benjamin Rachunok \nVehicle electrification is one of the primary pathways to decarbonizing transportation\, but may have unintended consequences during prolonged power outages. While the widespread adoption of electric vehicles appears promising\, it also links mobility and electric power availability. Consequently\, during periods of blackouts a high rate of EV adoption can pose a critical challenge in ensuring access to essential services as households are unable to charge their vehicles. we show how the interaction between geography\, technology\, and demographics impacts access to essential services during prolonged power outages. Our initial results show that EV adoption will exacerbate mobility inequalities in urban areas during prolonged power outages. The escalating frequency and severity of blackouts due to climate change demands a deeper understanding of the risks associated with the technological and societal trends observed in urban environments. \nYining Huang\nAdvisor: Hong Wan \nThis study delves into the utilization of Generative Adversarial Networks (GANs) for generating subject-specific time series sensor data\, offering an innovative alternative to traditional metamodel-based simulations. We undertake an in-depth analysis of DoppelGANger\, a prominent GAN variant for time series data and metadata generation\, evaluating its efficiency and efficacy. The sensor data for this investigation was sourced from the National Health and Nutrition Examination Survey\, which served as the foundational training set. We scrutinized the synthesized sensor data corresponding to various physical attributes\, focusing on the temporal and multi-dimensional statistical properties. Our empirical findings underscore the potential of GANs to adeptly capture the time-dependent correlations and the intricate statistical characteristics inherent in multi-dimensional data. This insight into GANs’ capabilities is a crucial step towards more sophisticated synthetic data generation\, with significant implications for future applications in wearable technology and personalized health monitoring systems. \nCameron Lisy\nAdvisor: Jordan Kern \nIn the past decade\, natural gas has become the cornerstone of U.S. energy production and usage. It accounts for almost half of end use consumption in the electric power (38%) and industrial (41%) sectors\, and the primary source of heating in 60% of households nationwide. NG is also subject to uncontrollable market forces due to extreme weather and world events\, including shocks to both its supply and demand as seen in the aftermath of winter storm Uri in Texas in 2021 where production was severely limited due to freeze-offs\, the Russian invasion of Ukraine in 2022\, and winter storm Elliot in 2022. All of which elevated NG prices substantially\, causing spillover issues to other sectors. The power grid is particularly vulnerable to these risks as it relies on gas-fired generation during times of peak demand throughout the year. While the U.S. is not electrically connected\, each region is joined via a nationwide system of production and pipeline transportation for NG. By modelling these connections through optimization and simulation\, our work demonstrates that weather-based shocks to the gas system traverse boundaries and pose a risk to utilities nationwide. \nSebastian Rodriguez Cartes\nAdvisor: Maria Mayorga \nWhen studying the spread of infectious diseases\, individuals’ actions are essential in preventing contagion across populations. In this study\, we aimed to analyze the impact of interventions on COVID-19 transmission when accounting for individual decision-making. We implemented behavioral models to recreate agents’ decision to wear a mask and get vaccinated\, accounting for critical factors such as personal beliefs\, the agent’s context\, and the system’s state regarding infections. We used an open-source agent-based framework for infectious diseases to incorporate these models and analyze different health outcomes. Our results can be used to provide insights about population level outcomes derived from individual conduct. Moreover\, we promote open access to the model as it is a flexible tool for studying the transmission dynamics of different infectious diseases.
URL:https://or.ncsu.edu/event/or-seminar-informs-practice-talks-10-02-2023/
LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/or-seminar-series-default-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230925T163000
DTEND;TZID=America/New_York:20230925T174500
DTSTAMP:20260504T075337
CREATED:20260129T185802Z
LAST-MODIFIED:20260129T185802Z
UID:10000082-1695659400-1695663900@or.ncsu.edu
SUMMARY:OR Seminar: Shakiba Enayati
DESCRIPTION:Join us in welcoming Shakiba Enayati\, an Assistant Professor in the Supply Chain & Analytics Department as part of the College of Business Administration at the University of Missouri  – St. Louis\, as she shares her research. \nDid you miss it?\nDon’t worry. You can watch the recording now! (Access Password: WtX=7tS*) \nTitle\nRedesigning Global Health Supply Chains with Drone-Enabled Solutions \nAbstract\nThis research centers around the optimization of vaccine distribution for routine childhood vaccinations\, particularly those with cold chain requirements\, through the utilization of drones. The primary objective is to enhance vaccine delivery operations to challenging\, hard-to-reach regions. The presentation initially focuses on an overview of the modeling approach employed to optimize strategic vaccine distribution at the national level\, including transportation of vaccines from central depots to local health zone distribution centers. The developed optimization models incorporate a blend of transportation modes\, including both large and small drones\, in addition to conventional methods such as boats\, trucks\, and planes. The focus then shifts to the research efforts aimed at refining vaccine delivery within a single health zone\, involving the outreach trips from a distribution center to remote aid posts. For outreach trips\, small drones are deployed alongside traditional transportation options like walking\, boats\, and trucks. The findings\, based on data collected from the island nation of Vanuatu\, underscore the considerable potential of drones in revolutionizing vaccine supply chain. Drones not only emerge as a viable substitute for existing transportation methods but also enable the efficient resupply of fresh vaccines to health workers at remote locations\, thereby enhancing the effectiveness of outreach initiatives. \nBiography\nDr. Enayati is an Assistant Professor in Supply Chain and Analytics Department at the University of Missouri\, Saint Louis. She earned her Ph.D. in Operations Research Program from North Carolina State University in May 2017. She also holds a Master of Science and a Bachelor in Industrial Engineering. She was previously employed as Assistant Professor of Analytics at State University of New York\, Plattsburgh. Her primary research interests are in analytical modeling and optimization of stochastic/dynamic complex systems as applied to healthcare and supply chain systems. Her goal is to address computational and operational aspects of problems arising in public health policy making\, health systems management\, and medical decision making via incorporating individual patient data. She is also interested in predictive analytics to evaluate\, anticipate\, and recommend actions for health outcomes at both individual and system levels.
URL:https://or.ncsu.edu/event/or-seminar-shakiba-enayati-09-25-2023/
LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/or-seminar-series-default-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230918T163000
DTEND;TZID=America/New_York:20230918T174500
DTSTAMP:20260504T075337
CREATED:20260129T190140Z
LAST-MODIFIED:20260129T190140Z
UID:10000083-1695054600-1695059100@or.ncsu.edu
SUMMARY:OR Series: Srijan Sengupta
DESCRIPTION:Join us in welcoming Srijan Sengupta\, an assistant professor in the Statistics Department at NC State\, as he shares his strategies for scalable inference from network data. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/92584004020?pwd=S3ovcmJQU2h5MElEYTdleW1oVVp5dz09 \nMeeting ID: 925 8400 4020\nPasscode: 503038 \nTitle\nTwo generalizable strategies for scalable inference from network data \nAbstract\nMassive network datasets are becoming increasingly common in domains like epidemiology\, neuroscience\, and digital health. Existing statistical inference methods are computationally infeasible for such massive networks. This talk will introduce two generalizable strategies for scalable inference from network data: aggregative subsampling (AggSub) and predictive subsampling (PredSub). AggSub is a divide-and-conquer algorithm where the original network is split into multiple subnetworks with a common overlap. Statistical inference is carried out for each subnetwork\, and the results from individual subnetworks are aggregated by leveraging the overlap. The core idea of predictive subsampling is to avoid large-scale matrix computations by\nbreaking up the task into a smaller matrix computation plus a large number of vector computations that can be carried out in parallel. Under the proposed method\, the inferential task of interest is carried out on a small subgraph to estimate the relevant model parameters. The remaining nodes are added one by one using only vector computations. These two strategies apply to various inference tasks\, such as community detection\, parameter estimation\, model selection\, and hypothesis testing. \nBiography\nSrijan Sengupta is an Associate Professor of Statistics at North Carolina State University\, where he has been working since Aug 2020. He received my Ph.D. in Statistics from the University of Illinois at Urbana-Champaign in Jul 2016. From Aug 2016 to Aug 2020\, he was a tenure-track Assistant Professor of Statistics at Virginia Tech. Dr. Sengupta is interested in developing formal inferential algorithms for network data and applying such algorithms to epidemiology\, social sciences\, and environmental health. He is also developing a statistical science of patient safety\, focusing on adverse medical events due to human errors\, medical devices\, drug reactions\, and radiation therapy.
URL:https://or.ncsu.edu/event/or-series-srijan-sengupta-09-18-2023/
LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-srijan-sengupta-09-18-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230911T163000
DTEND;TZID=America/New_York:20230911T174500
DTSTAMP:20260504T075337
CREATED:20260129T195910Z
LAST-MODIFIED:20260129T195910Z
UID:10000084-1694449800-1694454300@or.ncsu.edu
SUMMARY:OR Seminar: April Yu
DESCRIPTION:Join us in welcoming April Yu\, an Assistant Professor in the ISE department here at NC State\, as she shares her research. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/92584004020?pwd=S3ovcmJQU2h5MElEYTdleW1oVVp5dz09 \nMeeting ID: 925 8400 4020\nPasscode: 503038 \nTitle\nUsing Modeling and Optimization to Improve Healthcare Systems \nAbstract\nDecision-making in healthcare systems plays a crucial role in many contexts\, from disease prevention\, control\, and treatment to hospital operations. Vaccines can prevent life-threatening diseases effectively. The increasing number of available vaccines and complex dosage regimens make recommending personalized childhood immunization schedules difficult. We develop a discrete optimization model to solve both de novo (for all children\, starting at birth) and catch-up (for children who are behind on one or more vaccinations) scheduling problems\, given the child’s age and immunization history. The model is the first in the literature to solve both types of scheduling problems and provide vaccine selection decisions to achieve a balanced combination of higher protection against diseases and fewer clinic visits. \nIn the context of hospital operations\, for example\, where physicians need to balance different responsibilities\, we consider a two-stage service system with two types of servers\, namely subordinates (e.g.\, residents) who perform the first-stage service and supervisors (e.g.\, attending physicians) who have their own responsibilities in addition to collaborating with the subordinates on the second-stage service. Rewards are earned when first- or second-stage service is completed and when supervisors finish one of their own responsibilities. Costs are incurred when impatient customers abandon without completing the second-stage service. We introduce a Markov decision process (MDP) formulation\, prove that one of two policies will maximize the long-run average profit\, and show that the optimality condition is a simple threshold on the system parameters. \nBiography\nApril Yu is an assistant professor at the Department of Industrial & Systems Engineering\, North Carolina State University. She received her Ph.D. and M.S. in Operations Research from the School of Industrial & Systems Engineering\, Georgia Tech. Her research interests focus on stochastic modeling and optimization. Her recent works address a wide range of real-world problems\, from healthcare systems to supply chain management.
URL:https://or.ncsu.edu/event/or-seminar-april-yu-09-11-2023/
LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/or-seminar-series-default-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230828T163000
DTEND;TZID=America/New_York:20230828T174500
DTSTAMP:20260504T075337
CREATED:20260129T200252Z
LAST-MODIFIED:20260129T200252Z
UID:10000085-1693240200-1693244700@or.ncsu.edu
SUMMARY:OR Seminar: New Student Orientation
DESCRIPTION:Join us in welcoming Maria Mayorga\, Operations Research Program Director\, as she welcomes new Operations Research students. Don’t miss out on Dr. Mayorga’s introduction to the program and an overview of the requirements for new students. \nJoin Zoom Meeting\nhttps://ncsu.zoom.us/j/92584004020?pwd=S3ovcmJQU2h5MElEYTdleW1oVVp5dz09\nMeeting ID: 925 8400 4020\nPasscode: 503038
URL:https://or.ncsu.edu/event/or-seminar-new-student-orientation-08-28-2023/
LOCATION:NC
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230824T150000
DTEND;TZID=America/New_York:20230824T160000
DTSTAMP:20260504T075337
CREATED:20260129T200755Z
LAST-MODIFIED:20260129T200755Z
UID:10000086-1692889200-1692892800@or.ncsu.edu
SUMMARY:Welcome Back Ice Cream and Sorbet Social
DESCRIPTION:Kick off a new school year by enjoying ice cream and sorbet with ISE and CCEE students and faculty! This event is made possible by a donation from Arco Design/Build in support of the Department of Civil\, Construction\, and Environmental Engineering.
URL:https://or.ncsu.edu/event/welcome-back-ice-cream-and-sorbet-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/354/2026/01/ice-cream-social-2023-08-28-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="ISE Department":MAILTO:ise@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230821T163000
DTEND;TZID=America/New_York:20230823T180000
DTSTAMP:20260504T075337
CREATED:20260129T201411Z
LAST-MODIFIED:20260129T204704Z
UID:10000087-1692635400-1692813600@or.ncsu.edu
SUMMARY:OR Seminar: Meet and Greet
DESCRIPTION:Join Maria Mayorga\, Operations Research Program Director\, and the OR staff and students for a meet-and-greet event. This gathering offers an opportunity to connect with faculty\, students\, and staff as a way to kick off the new semester while enjoying Goodberry’s Frozen Custard. We hope you’ll make the most of this event\, forge new connections\, and leave inspired to explore the boundless possibilities of Operations Research.
URL:https://or.ncsu.edu/event/or-seminar-meet-and-greet-08-21-2023/
LOCATION:Angel Plaza\, 915 Partners Way\, 2nd Floor Entrance\, Raleigh\, North Carolina\, 27606
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/or-seminar-meet-and-greet-08-21-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230505T090000
DTEND;TZID=America/New_York:20230505T110000
DTSTAMP:20260504T075337
CREATED:20260129T204928Z
LAST-MODIFIED:20260129T204928Z
UID:10000088-1683277200-1683284400@or.ncsu.edu
SUMMARY:Spring 2023 Graduation Ceremony
DESCRIPTION:The ISE\, OR and MEM Spring 2023 Graduation Ceremony begins at 9 am with a reception right after the service. The ceremony will be live-streamed (http://go.ncsu.edu/isegraduation) starting at 10:45 am for friends and families to enjoy.
URL:https://or.ncsu.edu/event/spring-2023-graduation-ceremony/
LOCATION:McKimmon Center\, 1101 Gorman Street\, Raleigh\, 27606\, United States
CATEGORIES:OR Program Events
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2025/08/graduation-ceremony-default-feature-image-08-2025-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230424T163000
DTEND;TZID=America/New_York:20230424T174500
DTSTAMP:20260504T075338
CREATED:20260129T205318Z
LAST-MODIFIED:20260211T150557Z
UID:10000089-1682353800-1682358300@or.ncsu.edu
SUMMARY:OR Seminar: Hardi Desai
DESCRIPTION:Join us in welcoming Hardi Desai\, a Machine Learning Developer in the AI Center of Excellence at SAS\, as she shares her AI research. \nDid You Miss It?\nWatch it Now\nPasscode: 9*^+XHnC \nTitle\nSolving Real-World Challenges using Artificial Intelligence at SAS \nAbstract\nArtificial intelligence (AI) and edge analytics have been buzzwords for a while now. With an exponential increase in the computation power over the last decade\, the combination of the two\, which essentially allows organizations to run AI workloads at the Edge\, is no longer just a buzzword — it’s happening right now with real\, productive use cases. In this session\, Desai will discuss such challenges in real-world use cases along with the analytical solutions developed by SAS.
URL:https://or.ncsu.edu/event/or-seminar-hardi-desai-04-24-2023/
LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-hardi-desai-04-24-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230417T163000
DTEND;TZID=America/New_York:20230417T174500
DTSTAMP:20260504T075338
CREATED:20260129T205934Z
LAST-MODIFIED:20260129T205934Z
UID:10000090-1681749000-1681753500@or.ncsu.edu
SUMMARY:OR Seminar: John Hopkins Applied Physics Lab
DESCRIPTION:Join us in welcoming to the OR Program Çağlar Çağlayan\, Donald Richardson\, Breanna Swan and Jamie Yannayon from the John Hopkins Applied Physics Lab. \nDid you Miss it?\nWatch it Now!\nPassword: q6mD2=P% \nTitle\nOR/ML and Systems Engineering at JHU/APL \nAbstract\nJHU APL is a division of Johns Hopkins University. The Lab is the nation’s largest and oldest university-affiliated research center (UARC)\, with 8\,000 + staff members. As a UARC JHU APL operates in the public’s interest rather than stakeholders and provides independent and objective advice to the government. The Lab serves as a bridge between academia\, industry\, and government by employing expertise in using technology and applied systems engineering to create operational capabilities. The presentation will highlight various projects within the Health and Human Systems group at JHU/APL. The group’s mission is to engineer health and human-machine systems to improve resilience to health threats\, transform complex sociotechnical systems\, and revolutionize operational care delivery. \nBiographies\n\ncaglar.caglayan@jhuapl.edu\nÇağlar Çağlayan joined JHU/APL in 2020. He is an operations research scientist\, focusing on the use and development of optimization\, simulation\, and machine learning approaches for clinical decision-making problems. He received his master’s degree from North Carolina State University and doctoral degree from the Georgia Institute of Technology. Before joining the lab\, he worked at the University of Maryland School of Business as a research associate and at Clemson University Department of Industrial Engineering as an assistant professor. \n\ndonald.richardson@jhuapl.edu\nDonald Ricardson is an Operations Researcher and Supervisor at the Johns Hopkins University Applied Physics Laboratory. His work focuses on applying predictive modeling\, optimization\, and simulation in the healthcare setting. Donald received his Ph.D. and Master’s degrees from the University of Michigan’s Industrial and Operations Engineering Department. \n\nbreanna.swan@jhuapl.edu\nBreanna is an industrial engineer in the Health and Human-Machine Systems group at JHU-APL. She holds a Ph.D. in Industrial and Systems Engineering with a Statistics minor from North Carolina State University\, an M.S. in Mathematics from UW-Milwaukee\, and a B.S. in mathematical physics. Her research interests include integrating techniques like predictive modeling\, decision theory\, simulation\, optimization\, bioinformatics and more to develop frameworks that improve health and wellbeing through data-driven decision support tools. \n\njamie.yannayon@jhuapl.edu\nJamie Yannayon is a health systems engineer and public health analyst supporting analysis efforts for military medicine spanning mission-level medical planning\, medical capability development\, operational medical logistics\, casualty modeling\, medical quality and safety\, and health research portfolio planning. She leads integration of APL’s technical efforts in the field with military medicine sponsors and subject matter experts\, with field experience working at military treatment facilities (MTFs) and military bases in the U.S. and Japan\, as well as at Defense Health Headquarters (DHHQ). Jamie received a B.S. in Industrial and Systems Engineering from NC State University and a Master of Public Health (MPH) from Johns Hopkins Bloomberg School of Public Health.
URL:https://or.ncsu.edu/event/or-seminar-john-hopkins-applied-physics-lab-04-17-2023/
LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-john-hopkins-apl-04-17-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230410T163000
DTEND;TZID=America/New_York:20230410T174500
DTSTAMP:20260504T075338
CREATED:20260129T210308Z
LAST-MODIFIED:20260211T150717Z
UID:10000091-1681144200-1681148700@or.ncsu.edu
SUMMARY:OR Seminar: Ben Rachunok
DESCRIPTION:Join us in welcoming the OR Program’s own faculty member\, Ben Rachunok\, as he shares his research linking stainability and resilience. \nDid you miss it?\nWatch it Now\nPassword: u^.fN=v3 \nTitle\nApplying Operations Research Methods to Link Sustainability and Resilience \nAbstract\nResilience is often conceptualized as the ability for socio-ecological systems to bounce back after disturbance. Resilience with sustainability is a relatively new idea conceptualized as bouncing forward to better (more just and sustainable) future states of environmental\, social\, and economic conditions. Operationalizing the idea of sustainability with resilience has thus far been challenging owing to the numerous ways that communities and systems change in the face of natural hazards and climate change. This talk will first provide an overview of the importance of operationalizing sustainability and resilience together and will then present two methods aiming to bridge this gap. The first is a series of data processing steps to extract disaster-related information from social media data\, the second will describe Contrastive Community Networks (CCNs)\, a method for quantifying how sustainable resilience after disruptions based on unsupervised clustering techniques. I will show through a case study how CCNs can be used to identify risk factors within a community that catalyze or inhibit sustainable resilience\, and contrast this with current\, recovery-focused resilience methods. \nbiography\nBen Rachunok is Assistant Professor in the Industrial & Systems Department of North Carolina State University. Prior to joining NC State he was a postdoc in the Civil and Environmental Engineering Department at Stanford University\, and was a fellow of the 2021 cohort of the Rising Environmental Leaders Program at the Stanford Woods Institute for the Environment. Ben was formerly an R&D Intern at the Center for Computing Research at Sandia National Labs. He received his BS in Industrial & Systems Engineering from North Carolina State University\, and holds a Ph.D. in Industrial Engineering from Purdue University. He is a member of INFORMS\, IISE and is a council member in Society for Risk Analysis.
URL:https://or.ncsu.edu/event/or-seminar-ben-rachunok-04-10-2023/
LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/seminar-series-ben-rachunok-04-12-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230403T163000
DTEND;TZID=America/New_York:20230403T174500
DTSTAMP:20260504T075338
CREATED:20260129T210708Z
LAST-MODIFIED:20260129T210708Z
UID:10000092-1680539400-1680543900@or.ncsu.edu
SUMMARY:OR Seminar: Jordan Kern
DESCRIPTION:Join us in welcoming Jordan Kern\, an NC State assistant professor in the Department of Forestry and Environmental Resources\, as he shares his energy systems research. \nDid You Miss It?\nWatch it NOW! \nTitle\nAdvancing the optimal design and management of low carbon energy systems in a time of emerging vulnerabilities \nAbstract\nBulk electric power systems are highly interconnected\, continental in scale\, and operated as synchronous machines that must constantly balance (in both space and time) the movement and consumption of electricity with production from different generators. As an aging\, complex system\, the power grid routinely experiences failures (often caused by extreme weather) that can lead to losses of life and economic damages. The grid is also\, arguably\, the single most important component of large-scale efforts to “de-carbonize” the U.S. economy. This is likely to involve grid expansion and a rapid scale-up of renewable energy capacity like solar and wind\, which will more firmly link system dynamics (including reliability) to weather fluctuations. Yet\, robustly characterizing power systems’ performance is a significant challenge\, due to: a) system complexity and scale; b) multi-scale\, multi-variate uncertainties; and c) a general lack of open source modeling options that adequately balance simulation speed and model accuracy. This talk will discuss our group’s development and application of new computational tools to inform optimal design and management of robust\, low-to-zero carbon grids through stochastic simulation of system dynamics and analysis of capital investment and short-term grid operations. \nBiography\nJordan Kern is an Assistant Professor of Coupled Natural-Human Systems at North Carolina State University\, where he has a primary appointment in the Department of Forestry and Environmental Resources and graduate faculty appointments in Operations Research\, and Civil\, Construction\, and Environmental Engineering. His group’s research tries to advance optimal design and management of low-to-zero carbon energy systems\, with a special focus on: 1) building high resolution models of real-world energy systems; 2) simulating system dynamics under uncertainty and stress; and 3) informing optimal decision making around capital investment and short term operations. His group’s research has been featured frequently in the national media (e.g. NPR\, LA Times\, Vox\, TIME)\, and since 2016 his group has received $3.16 million in extramurally funded research awards (part of $43 million in total collaborative funds). In 2022\, he received the National Science Foundation’s (NSF) CAREER award for his proposal titled\, “Navigating a Two-Front Challenge for the Power Grid: Extreme Weather and the Race to Decarbonization.”
URL:https://or.ncsu.edu/event/or-seminar-jordan-kern-04-03-2023/
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-jordan-kern-04-03-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230327T163000
DTEND;TZID=America/New_York:20230327T174500
DTSTAMP:20260504T075338
CREATED:20260129T211126Z
LAST-MODIFIED:20260211T150836Z
UID:10000093-1679934600-1679939100@or.ncsu.edu
SUMMARY:OR Seminar: Katya Scheinberg
DESCRIPTION:Join us in welcoming Katya Scheinberg\, a professor in the Operations Research and Information Engineering Department at Cornell University\, as she discusses her research. \nDid You Miss It?\nWatch it NOW! \nTitle\nOverview of Adaptive Stochastic Optimization Methods \nAbstract\nRecently a variety of stochastic variants of adaptive methods have been developed and analyzed. These include stochastic step search\, trust region and cubicly regularized Newton methods. Such methods adapt the step size parameter and use it to dictate the accuracy required or stochastic approximations. The requirements on stochastic approximations are\, thus\, also adaptive and in principle can be biased and even inconsistent. The step size parameters in these methods can increase and decrease based on the perceived progress\, but unlike the deterministic case they are not bounded away from zero. This creates obstacles in complexity analysis of such methods. We will show how by viewing such algorithms as stochastic processes with martingale behavior we can derive bounds on expected complexity that also apply in high probability. We also show that it is possible to derive a lower bound on step size parameters in high probability for the methods in this general framework. We will discuss various stochastic settings\, where the framework easily applies\, such as expectation minimization\, black box and simulation optimization\, expectation minimization with corrupt samples\, etc. \nBiography\nKatya Scheinberg is a Professor and Director of Graduate Studies at the School of Operations Research and Information Engineering at Cornell University. Prior to joining Cornell she was the Harvey E. Wagner Endowed Chair Professor at the Industrial and Systems Engineering Department at Lehigh University. She attended Moscow University for her undergraduate studies and received her PhD degree from Columbia University. She worked at the IBM T.J. Watson Research Center as a research staff member for over a decade before joining Lehigh in 2010. \nKatya’s main research areas are related to developing practical algorithms (and their theoretical analysis) for various problems in continuous optimization\, such as convex optimization\, derivative free optimization\, machine learning\, quadratic programming\, etc. \nShe is an Informs Fellow\, a recipient of the Lagrange Prize from SIAM and MOS\, the Farkas Prize from Informs Optimization Society and the Outstanding Simulation Publication award from Informs Simulation Society.  Katya is currently the editor-in-chief of Mathematics of Operations Research\, and co-editor of Mathematical Programming. She served as  the Chair of SIAM Activity Group on Optimization from 2020 until 2022.
URL:https://or.ncsu.edu/event/or-seminar-katya-scheinberg-03-27-2023/
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-katya-scheinberg-03-27-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230322
DTEND;VALUE=DATE:20230323
DTSTAMP:20260504T075338
CREATED:20260129T211751Z
LAST-MODIFIED:20260129T212705Z
UID:10000094-1679443200-1679529599@or.ncsu.edu
SUMMARY:NC State Day of Giving 2023
DESCRIPTION:NC State Day of Giving is an annual\, university-wide fundraising event. For 24 hours\, the Wolfpack community comes together to support our students and demonstrate the strength of the Pack. Funds raised create sustaining scholarships\, invest in inclusion efforts\, and promote diversity and enrichment. \nThank you for supporting NC State Day of Giving. With your gift\, you told your NC State story — what our university means to you and how it shaped your experiences — and empowered a new generation to tell theirs. Your generosity broadens perspectives\, creates opportunities and changes lives. Together\, we’re writing the next chapter in NC State’s bold\, bright future.
URL:https://or.ncsu.edu/event/nc-state-day-of-giving-2023/
LOCATION:NC
CATEGORIES:OR Program Events
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/day-of-giving-2023-03-22-2023-featured-image-01-2026-01.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230320T163000
DTEND;TZID=America/New_York:20230320T174500
DTSTAMP:20260504T075338
CREATED:20260129T212926Z
LAST-MODIFIED:20260129T212947Z
UID:10000095-1679329800-1679334300@or.ncsu.edu
SUMMARY:OR Seminar: OR Ph.D. Students
DESCRIPTION:Monday’s panel talk will be an open discussion\, in the spirit of an AMA (ask me anything)\, where you can ask your most pressing questions about how research is conducted at a high level. \nStudents early in their Ph.D. or thesis-based master’s program are often faced early on with long-term decisions and no clear answers: \n\nShould this person be my advisor?\nIs this a good topic to pursue?\nWhat are the possible sources of funding and their trade-offs?\nHow does the research process work?\nAnd many more\n\nThe objective of this seminar is to help make connections with experienced students who have been through it before so they can provide more than one perspective on how these decisions can be approached. Feel free to bring questions of your own. \nDid you miss it?\nWatch it Now! \nBiographies\nRuss Nelson is a US Army operations research/systems analyst (ORSA)\, former Army aviator\, and current Ph.D. candidate in the Operations Research Program at NC State. His previous roles have included assault helicopter company commander\, Army aviation doctrine developer\, and assistant professor in the Department of Mathematical Sciences at the United States Military Academy (USMA) at West Point. Prior to joining NC State\, he worked with statisticians in creating designs of experiments and conducting statistical analysis at the Army Evaluation Center in support of the Army Test and Evaluation Command. Upon graduation from NC State\, he will return to an assistant professor role at USMA. \nSatya Paramita is a Ph.D. Candidate in OR under the direction of Dr. Osman Ozaltin. She has been involved in several projects during her Ph.D.\, including health scoring system development and evaluation\, examination of medical surge during the COVID-19 pandemic and assessing the impact of law-enforcement drug seizures on overdose mortality. \nMargaret Tobey is a Ph.D. candidate in the OR program. She is advised by Dr. Mayorga and Dr. Ozaltin and expects to graduate this summer. The group collaborates with a counter-human trafficking nonprofit to develop risk prediction models that can assist in human trafficking investigations and serving victims. Methods include natural language processing\, interpretable machine learning models such as risk scoring systems\, and geospatial analysis. \nEkin Yalvac’s research focuses on the interface of operations and economics. He is currently working on the optimization of sustainable energy transfer and storage systems and the network design of autonomous delivery systems.
URL:https://or.ncsu.edu/event/or-seminar-or-ph-d-students-03-20-2023/
LOCATION:4290 Fitts-Woolard Hall\, 915 Partners Way\, Raleigh\, NC\, 27606\, United States
CATEGORIES:OR Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://or.ncsu.edu/wp-content/uploads/sites/354/2026/01/or-seminar-series-default-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230306T163000
DTEND;TZID=America/New_York:20230306T174500
DTSTAMP:20260504T075338
CREATED:20260129T213834Z
LAST-MODIFIED:20260129T213834Z
UID:10000096-1678120200-1678124700@or.ncsu.edu
SUMMARY:OR Seminar: Frank Curtis
DESCRIPTION:Join us in welcoming Frank Curtis\, professor and director of graduate studies in industrial engineering at Lehigh University\, as he discusses his research. His research focuses on designing\, analyzing\, and implementing numerical methods for solving large-scale nonlinear optimization problems. \nDid you miss it?\nWatch it Now!\nPassword: &?%!Q6*7\n \nDownload the Presentation \nTitle\nStochastic Algorithms for Solving Constrained Optimization Problems \nAbstract\nI will present recent work by my research group on solving constrained continuous optimization problems with stochastic algorithms.  I will provide an overview of a suite of sequential quadratic optimization (commonly known as SQP) algorithms that we have proposed\, analyzed\, and tested for which we have convergence-in-expectation and worst-case complexity guarantees.  I will also discuss recent work on the design and analysis of a stochastic interior-point method\, which\, as far as we are aware\, is the first of its kind.  Our algorithms are motivated by various applications\, including fair and domain-informed machine learning. \nBiography\nFrank E. Curtis is a professor in the Department of Industrial and Systems Engineering at Lehigh University.  His research focuses on the design\, analysis\, and implementation of algorithms for solving large-scale optimization problems.  He received an Early Career Award from the ASCR program of the U.S. Department of Energy and has received funding from various programs of the U.S. National Science Foundation as well as from the Office of Naval Research.  He received\, along with Leon Bottou (Facebook AI) and Jorge Nocedal (Northwestern)\, the 2021 SIAM/MOS Lagrange Prize in Continuous Optimization.  He was awarded\, with James V. Burke (Washington)\, Adrian Lewis (Cornell)\, and Michael Overton (NYU)\, the 2018 INFORMS Computing Society Prize.  He currently serves as Area Editor for Continuous Optimization for Mathematics of Operations Research and as an Associate Editor for Mathematical Programming\, SIAM Journal on Optimization\, IMA Journal of Numerical Analysis\, and Mathematical Programming Computation.
URL:https://or.ncsu.edu/event/or-seminar-frank-curtis-03-06-2023/
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-frank-curtis-03-06-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230227T163000
DTEND;TZID=America/New_York:20230227T174500
DTSTAMP:20260504T075338
CREATED:20260129T214141Z
LAST-MODIFIED:20260129T214141Z
UID:10000097-1677515400-1677519900@or.ncsu.edu
SUMMARY:OR Seminar: Russ Nelson
DESCRIPTION:Join us in welcoming our own Russ Nelson\, OR Ph.D. student\, as he will discuss operations research applications in US Army. \nDid you miss it?\nhttps://ncsu.zoom.us/rec/share/Z0oe4FnsKG3GfKBC0V6A6RGCJb78AE16vrfjhP21Y9BP1WPD7aP7NU3SK2agorXa.-laXaMH90vvdqClc\nPassword: 1N=jWxP6 \nTitle\nOperations Research Applications in US Army Aviation Air Movement Operations \nAbstract\nAlthough lacking the same preeminent status of air assault planning\, air movement operations comprise a majority of Army utility and cargo helicopter combat aviation operations regarding the volume of customers and the endless appetite for rapid movement of troops across the battlespace. We propose an Army aviation air movement mission planning model to assist the mission planner by rapidly providing courses of action based on the commander's priorities. Features of the problem include priority demand\, multi-node refueling\, aircraft\, and passenger time windows\, maximum passenger transportation time\, the minimization of unsupported demand\, aircraft utilization\, and total flight time. The mathematical model is an extension of the dial-a-ride problem (DARP) that will coordinate air mission requests (AMRs) at the aviation task force level or lower to generate courses of action that optimize helicopter fleet resourcing and routing decisions against mission variables while supporting the optimal number of AMRs that sustain combat power over time. Additional work includes a heuristic improvement and analysis required to generate feasible solutions in near real-time. Furthermore\, we propose an Army aviation two-stage stochastic programming model to allocate utility helicopters across areas of operations separated task forces to minimize routing costs and the number of unsupported air movement AMRs by priority level. \nBiography\nRuss is a US Army operations research/systems analyst (ORSA)\, former Army aviator\, and current Ph.D. candidate in the Operations Research Program at NC State. His previous roles have included assault helicopter platoon leader and company commander\, Army aviation doctrine developer\, and assistant professor in the Department of Mathematical Sciences at the United States Military Academy (USMA) at West Point. Prior to joining NC State\, he worked with statisticians in creating designs of experiments and conducting statistical analysis at the Army Evaluation Center in support of the Army Test and Evaluation Command. Upon graduation from NC State\, he will return to an assistant professor role at USMA.
URL:https://or.ncsu.edu/event/or-seminar-russ-nelson-02-27-2023/
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/grad-student-profile-russ-nelson-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230220T163000
DTEND;TZID=America/New_York:20230220T174500
DTSTAMP:20260504T075338
CREATED:20260129T214451Z
LAST-MODIFIED:20260129T214643Z
UID:10000098-1676910600-1676915100@or.ncsu.edu
SUMMARY:OR Seminar: Raghu Pasupathy
DESCRIPTION:Join us in welcoming Raghu Pasupathy\, professor of statistics at Purdue University\, as he discusses his research. \nMissed the Presentation?\nWatch the recording NOW\nPassword: p22CSfD$ \nTitle\nBatching as a General Statistical Inference Device \nAbstract\nConsider the following example problem settings: (i) estimate the 90th percentile time-dependent inventory level at multiple points in a large simulated supply chain; (ii) estimate the optimal glass cooling schedule as the solution to a stochastic optimization problem subject to PDE constraints relating to heat flow; and (iii) estimate the time-dependent expected number of infections in an epidemic that is modeled using an SDE. Each of (i) — (iii) constitutes a setting where a time series of data obtained through some means\, e.g.\, a simulation\, is “processed” in the service of estimating a parameter such as a percentile curve or the solution to an optimization problem. We consider statistical inference in such contexts\, whereby one seeks to quantify the error in an obtained estimator\, e.g.\, through a confidence region or a hypothesis test. \nHistorically\, inference within complicated computational contexts has been considered challenging because the parameter needing estimation is often not a mean\, and the input time series is non-normal and exhibits heavy dependence. We argue\, however\, that the remarkably simple idea of batching might provide a solution. Batching\, like the bootstrap\, is a resampling idea and works in three steps: (i) divide the input time series into overlapping batches; (ii) construct parameter estimates from each batch; and (iii) appropriately use the batch estimates after accounting for dependence\, to perform statistical inference. The resulting procedures are usually trivial to implement in software and\, as we show\, are provably correct and efficient. Batching ideas originated in the 1950s and have enjoyed steady development in the simulation community since the 1970s\, mostly within the problem of variance estimation. Our thesis is that batching ideas have much wider utility. Time permitting\, I will discuss batching’s relationship to the bootstrap and subsampling\, along with numerical examples. \nBiography\nRaghu Pasupathy is a Professor of Statistics at Purdue University. Prior to joining Purdue in 2014\, Paspathy spent nine years in the Industrial and Systems Engineering Department at Virginia Tech\, first as an assistant professor and then as an associate\nprofessor. Pasupathy’s research interests lie in the theoretical and computational aspects of stochastic optimization. Pasupathy has been associated with the simulation and optimization communities in various capacities over the previous two decades\, including serving as President of the INFORMS Simulation Society from 2018 — 2020 and\nas an editor for ACM TOMACS\, Operations Research\, INFORMS Journal on Computing\, IISE Transactions\, and Mathematical Programming. More information\, including downloadable papers and computational software\, can be obtained through his website at https://web.ics.purdue.edu/~pasupath/
URL:https://or.ncsu.edu/event/or-seminar-raghu-pasupathy-02-20-2023/
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-raghu-pasupathy-02-20-2023-featured-image-01-2026-01.jpg
ORGANIZER;CN="OR Program":MAILTO:operationsresearch@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230213T163000
DTEND;TZID=America/New_York:20230213T174500
DTSTAMP:20260504T075338
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:20230207T093000
DTEND;TZID=America/New_York:20230207T160000
DTSTAMP:20260504T075338
CREATED:20260129T215420Z
LAST-MODIFIED:20260129T215520Z
UID:10000100-1675762200-1675785600@or.ncsu.edu
SUMMARY:Engineering Career Fair | Spring 2023
DESCRIPTION:The NC State Engineering Career Fair is one of the largest career fairs in the country held specifically for engineering students. \n\nTuesday\, February 7\, 2023\n\nTo attend the fair and sign up for company meetings\, you must create an account on the Career Fair Plus app using your NC State email. \nREMEMBER: \n\nNO BACKPACKS\nEMPLOYER PARKING ONLY\nNC State students and alumni may enter at 9:30 am.\nNon-NC State attendees may enter at 10:30 am.\n\nMore information at the Engineering Career Fair website.
URL:https://or.ncsu.edu/event/engineering-career-fair-spring-2023/
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/354/2026/01/engineering-career-fair-02-07-2023-featured-image-01-2026-01.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230206T163000
DTEND;TZID=America/New_York:20230206T174500
DTSTAMP:20260504T075338
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:20260504T075338
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:20230123T163000
DTEND;TZID=America/New_York:20230123T173000
DTSTAMP:20260504T075338
CREATED:20260130T134100Z
LAST-MODIFIED:20260130T134510Z
UID:10000103-1674491400-1674495000@or.ncsu.edu
SUMMARY:Operations Research Social Hour
DESCRIPTION:Join your fellow students\, staff and faculty from the Operations Research Program for a social hour. Donuts and coffee are provided\, so DoNut miss out! \nThe event will be held on January 23rd\, starting at 4:30 pm. Meet outside of room 4290 in Fitts-Woolard Hall.
URL:https://or.ncsu.edu/event/operations-research-social-hour-01-30-2023/
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/354/2026/01/or-social-hour-01-23-2023-featured-image-01-2026-01.jpg
END:VEVENT
END:VCALENDAR