Join us for the second part of the INFORMS Minority Issues Forum (MIF) Summer Webinar Competition! In this session, we will delve into a variety of fascinating topics. These include optimizing rural school bus routing and scheduling and considering endogenous demand and traffic congestion to improve efficiency and service. We will also explore the implications of using maternity care deserts to evaluate access to obstetric care, highlighting the importance of accurate measurement in healthcare accessibility. Another exciting topic is MUSE-Net, a missingness-aware multi-branching self-attention encoder designed for irregular longitudinal electronic health records, which promises advancements in handling complex health data. Additionally, the session will cover assortment optimization in a subscription model, providing insights into maximizing customer satisfaction and profitability. Finally, we will learn about Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for multimodal data under data-sharing constraints, which addresses the challenges of collaborative data analysis while maintaining privacy. Join us for an inspiring session of research and engaging presentations. Register now to secure your spot!
About the competition:
This event is designed to provide student MIF members in PhD programs with a unique platform to showcase their work outside the INFORMS Annual Meeting. We aim to increase student participation within the MIF community and highlight their innovative research.
Any student MIF member enrolled in a PhD program was eligible to apply. The Programs Committee has selected ten outstanding participants to advance in the competition. Five of these participants will present their work (the other five will present in an upcoming session. Each presenter will have ten minutes to impress the judges with their research. Academic and industry professionals will evaluate the presentations. Criteria include research topic and impact, visual appeal, organization, and presentation quality. The winner(s) will receive an honorarium at the next INFORMS Annual Meeting, equivalent to the cost of a student registration. All participants will receive a certificate of participation.
.
Speakers:
.
Prabhat Hegde
Prabhat Hegde is a PhD candidate at the Thayer School of Engineering at Dartmouth College. Research Interests : Climate Risk, Climate Change Mitigation and Adaptation, Vehicle Routing Problems, Energy Systems Modeling and International Energy and Transportation Policy.
.
Meghan Meredith
Meghan Meredith is a fourth-year Ph.D. student at the Georgia Institute of Technology in the Stewart School of Industrial and Systems Engineering (ISYE) under the direction of Dr. Lauren Steimle. Her thesis work applies operations research methods to create a more effective and equitable maternal health system.
.
Zekai Wang
Zekai Wang earned his Ph.D. in Industrial Systems Engineering from the University of Tennessee, Knoxville in summer 2024. He will be joining Fairfield University's Dolan School of Business as an Assistant Professor of Analytics in Fall 2024. His research centers on data analytics, deep learning, and health informatics.
.
Jiannan Xu
Jiannan Xu is a third-year Ph.D. candidate in Operations Management at the University of Maryland. His research interests include marketplace analytics, service operations, and AI for social good. His work has been published in top-tier computer science conferences such as EMNLP, and he has presented his findings at various international conferences.
.
Zihan Zhang
Zihan Zhang is a third-year PhD student in Industrial Engineering at the Georgia Institute of Technology. Her research focuses on high-dimensional data analysis and machine learning, with applications in manufacturing and healthcare systems, particularly in the areas of prognostics, control, and maintenance.