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CAARMS 22 Speakers:

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Jonathan Mboyo Esole 
Harvard University

Birational Geometry of Elliptic Fibrations and Combinatorics of the Intrigilator-Morrison-Seiberg Potential

Jonathan Mboyo Esole was born in Kinshada (Democratic Republic of Congo). He is a Benjamin Peirce Fellow in the Department of Mathematics at Harvard University and a member of the Harvard University Center for the Fundamental Law of Nature. He is interested in the interface of mathematics and physcis, espcially in the study of the geometric and arithmetic aspects of string theory.


Shannon Harris
Ohio State University

Online Overbooking Strategies in Outpatient Specialty Clinics with No-Shows and Advance Cancellations


Shannon L. Harris was born in Hialeah, FL and raised in Northern Virginia. She received her BS in Systems Engineering (2007) from George Mason University and her PhD (2016) in Business Analytics and Operations from the University of Pittsburgh, Katz Graduate School of Business. Her PhD thesis is entitled “Essays in Appointment Management”. In Fall 2016, she will start as an Assistant Professor in Management Science at The Ohio State University, Fisher College of Business. Her research interests include predictive analytics and scheduling in healthcare and sports analytics.

Chad Jenkins
University of Michigan

Goal-directed Robot Manipulation via Axiomatic Scene Estimation

Odest Chadwicke Jenkins is an Associate Professor of Computer Science and Engineering at the University of Michigan. He earned his B.S. in Computer Science and Mathematics at Alma College (1996), M.S. in Computer Science at Georgia Tech (1998), and Ph.D. in Computer Science at the University of Southern California (2003). His research addresses problems in interactive robotics and human-robot interaction, primarily focused on mobile manipulation, robot perception, and robot learning from demonstration. His research often intersects topics in computer vision, machine learning, and computer animation. Prof. Jenkins has been recognized as a Sloan Research Fellow in 2009. He is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) for his work in physics-based human tracking from video. His work has also been supported by Young Investigator awards from the Office of Naval Research (ONR) for his research in learning dynamical primitives from human motion, the Air Force Office of Scientific Research (AFOSR) for his work in manifold learning and multi-robot coordination and the National Science Foundation (NSF) for robot learning from multivalued human demonstrations

 


Daniel Jordon
SeatGeek

Inferring Parking Occupancy and Parking Search from Parking Payment Data

Daniel Jordon is a Data Scientist at SeatGeek Inc., a live event ticketing startup based in New York City. His work deals with data pipeline engineering and model development related to pricing and marketing. He received his PhD in Mathematics from Drexel University in 2013, with a focus on functional analysis and partial differential equations. He subsequently did post-doctoral fellowships at Carnegie Mellon University and the University of Michigan doing research in applied probability and transportation. He has broad research interests in mathematics and computer science.

 


Emmett Lodree
University of Alabama

Optimal Dispatching Policies for Donation Collection with Stochastic Demand

Emmett Lodree, Jr. was born and raised in New Orleans, Louisiana. He earned his BS (1995) and MS (1997) in Mathematics from the University of New Orleans, followed by his MS (1999) and PhD (2001) in Industrial Engineering from the University of Missouri-Columbia. Currently, he is an Associate Professor of Operations Management at the University of Alabama, where he has been since 2009. His research program primarily focuses on the application of stochastic dynamic programming methods to problems in the area of disaster response logistics. His research interests also include inventory theory, humanitarian operations, and the interface between operations management and economics.


Alfred Noel
University of Massachusetts at Boston

Geometrical Aspects of the Intriligator-Morrison-Seiberg Superpotential

Alfred Noël was born in the city of Cayes, Haiti. He studied pure and applied mathematics at Northeastern University in Boston Massachusetts. His PhD dissertation, in representation theory of Lie groups, was directed by Donald R. King. He spent eight years at ComputerVision as a software engineer and has been at the University of Massachusetts Boston since 1998 where he is currently a Professor of Mathematics.


Jamol Pender
Cornell University

Time Varying Queues

Jamol Pender was born and raised in the Bronx, NY. He received a B.S.E (2008) from the Unviersity of Pennsylvania in Electrical and Systems Engineering and a PhD (2013) in Operations Research and Financial Engnieering from Princeton University. His PhD thesis in applied probability was titled: “Dynamics Rate Queues: Estimation, Stabilization, and Control.” Currently, he is an Assistant Professor of Operations Research and Information Engineering at Cornell University, where he has been since 2015. His research interests fall into areas of applied probability, which includes queueing theory. His research on time varying queueing systems has been applied in areas such as telelcommunications, healthcare, and more recently collaborative economies and smartphone queueing apps. He also has an interest in mathematical finance, especially limit order books and option pricing.


Terrence Pendleton
Iowa State University / Drake University
The Camassa-Holm Equation: Analysis, Numerics, Generalizations and Applications
Terrance Pendleton was born in New Jersey and raised in Phenix City, AL. He received his BS (2007) in mathematics education at Alabama A&M University, and his PhD (2013) in applied mathematics from North Carolina State University. His PhD thesis in partial differential equations was titled: “An Analytical and Numerical Study of a Class of Nonlinear Evolutionary PDEs.” Currently, he is a postdoctoral research fellow at Iowa State University through the Alliance for Building Faculty Diversity in the Mathematical Sciences. Beginning Fall 2016, he will be an assistant professor of mathematics at Drake University. His research interests fall into areas of partial differential equations and numerical analysis.


Alejandro Rodriguez
Princeton University


Nanophotonics of Thermal Radiation and Optical Interactions

 

Alejandro Rodriguez is an Assistant Professor of Electrical Engineering at Princeton University, working in the areas of nanophotonics, nonlinear optics, and fluctuation electromagnetic phenomena. He received both his B.A and Ph.D in Physics from MIT in 2006 and 2010, and was a postdoctoral fellow at Harvard University until 2013, during which time he co-developed some of the first methods for computing fluctuation interactions in complex environments and made significant contributions to the understanding of ways of tailoring thermal radiation and Casimir forces in nanostructured media. Recent contributions include the first fundamental limits to radiative heat transport at the nanoscale (generalizing the famous Stefan–Boltzmann law to the near field) and inverse designs of photonic structures exhibiting complex and exotic spectral and nonlinear properties. He is a recipient of the NSF Early CAREER Award, was elected a National Academy of Sciences Kavli Fellow, and was also named a DOE Fredrick A. Howes Scholar in Computational Science. When not playing with photons, he enjoys salsa dancing, playing video games, and listening to afro-Cuban music.


Gabriel Zayas-Caban
University of Michigan

Dynamic Control of a Single Server System when Jobs Change Status

Gabriel was born (and raised) in Mayagüez, Puerto Rico and received his BS (2008) in Mathematics from the University of South Florida. Gabriel is a President's Postdoctoral Fellow in the Center for Healthcare Engineering and Patient Safety at the University of Michigan. He graduated from Cornell with a PhD from the Center for Applied Mathematics under the mentorship and guidance of Dr. Mark E. Lewis. His research focuses on developing frameworks using queueing theory, Markov decision processes, simulation, and other Operations Research techniques, that can help identify effective and practical policies for resource allocation in healthcare settings. His recent research projects include “Emergency Medical Service Allocation in response to Large Scale Events” and “Optimal Control of an Emergency Room Triage and Treatment Process.” He has been awarded the 2013 Zellman Warhaft Commitment to Diversity Graduate Student Award from Cornell’s Diversity Program in Engineering; Cornell/Sloan Fellowship, 2011-2014; and National Defense Science and Engineering Graduate Fellowship, 2008-2011.