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11
Annual
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Doctoral Student Colloquium
Octo
ber 22−25
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A INFORMS 2017 DOCTORAL STUDENT COLLOQUIUMSaturday, October 21, 2017 | Hilton - Americas, Lanier AD
Dinner on Friday, October 20, 6–8pm, Lanier GJParticipants can get their meeting credentials Friday evening at the dinner. If you are not attending the dinner, you can collect them at the combined colloquia breakfast at the Hilton room Lanier GJ or at the main INFORMS Registration Center in Exhibit Hall B3 of the George R. Brown Convention Center on Saturday morning.
SATURDAY7–8am Registration and Breakfast (Lanier GJ)
8–8:05am Opening Remarks Daniel Organ, Caterpillar
8:05–8:45am Academia vs. Industry: The Billion Dollar Question Ricki Ingalls, Scott Mason, Murat Kurt
8:45–9:30am Surviving the Job Market: How to Interview for a Job Xiang Zhong, Leonardo Lozano, Mike Fry
9:30–10am Coffee break
10–10:45am Joys and Challenges of Teaching Palaniappa Krishnan, S. Raghavan, Thomas Sharkey
10:45–11:30am OR/Analytics Job Opportunities in Industry Kevin Furman, Krishna Jha, Ahmet Keha, Natalia Summervilles
11:30am–1pm Lunch (Lanier GJ)
1–1:45pm Writing Successful Research Proposals Irina Dolinskaya, Yongpei Guan, Amin Khademi, Georgia-Ann Klutke
1:45–2:30pm Succeeding Through the Tenure Years Sila Cetinkaya, Julie Higle, Cole Smith
2:30–3pm Coffee break
3–3:45pm Writing Publishable Articles and Navigating the Review Process Ben Lev, Jianjun Shi, Candace Yano
3:45–4:30pm Work/Life Balance Sarah Nurre, Maria Mayorga, Hugh Medal
5pm All-Colloquia Reception (Lanier GJ)
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UNIVERSITY/DEPARTMENT
NOMINEE’S EMAIL BIO
Rupesh Agrawal Oklahoma State University
[email protected] Ph.D. Student and accomplished professional with +14 years of international experience as the mechanical engineer in product development, vendor & client development, engineering services delivery management, a result-oriented individual experienced in successful market development, product positioning strategy, digital marketing implementation and contract negotiations. A generalist experienced with sustaining three start-ups and technology commercialization in the field of agriculture, renewal energy, IT, and medical device with complete operational oversight. As a Ph.D. student, I have participated in data collection (qualitative and quantitative) using Qualtrics, Mturk and in-person interviews. My current research work focuses on analyzing human physiologic signals, identifying, developing the relevant database to capture signals both primary and secondary data.
Khatereh Ahadi University of Arkansas
[email protected] My name is Khatereh Ahadi and I am currently a doctoral candidate in Industrial Engineering department at the University of Arkansas. I am working on my dissertation under the supervision of Dr. Kelly M. Sullivan and expect to complete my Ph.D. degree requirements by July 2018. My research focuses on the application of operations research and stochastic programming on transportation systems, disruption response, and maintenance planning. Also, I had the opportunity to be an instructor and teaching assistant in my Ph.D. and master degree. I am looking forward to the opportunity to obtain a faculty position and teach both undergraduate and graduate level classes in variety of courses.
Francisco Aldarondo University of Michigan Ann Arbor
[email protected] Francisco J. Aldarondo is a PhD candidate with the Industrial & Operations Engineering department at the University of Michigan, Ann Arbor. His research interests focus on quantitative models to design and analyze order fulfillment and order picking systems for on-line retail and similar applications. Francisco’s professional experience includes his work with the Power and Renewable Energy businesses at General Electric.
Abbas Attarwala University of Waterloo
[email protected] I am 2nd-year Ph.D student at the University of Waterloo. My background is in operation research (OR) and computer science. I am excited about attending the doctoral colloquium and learn more about the opportunities that exist in the space of OR and network with other students and learn about their research
Erik Bertelli University of California, Berkeley
[email protected] Erik Bertelli is a 3rd year PhD student in Industrial Engineering and Operations Research at UC Berkeley. He works with Professor Candi Yano on hospital operating room scheduling problems. He is most familiar with integer programming and network graph methods for solving real world problems. He is originally from Merced, CA and did his undergraduate studies at UC Berkeley (Class of 2013). When not working on research, he likes to spend his time playing fantasy baseball, going to Oakland A’s games, or watching classic movies with friends.
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RY Gustavo Bittencourt UFRJ - Federal
University of Rio de Janeiro
[email protected] Gustavo Bittencourt is a Brazilian PhD candidate in Industrial Engineering at the Federal University of Rio de Janeiro, a visiting scholar at the Carnegie Mellon University and a researcher at LORDE (Laboratory of Resource Optimization, Operational Simulation and Decision Aid in Oil Industry). He obtained his BS degree in Industrial Engineering at the Federal University of Juiz de Fora, Brazil, in 2010, his MSc in Industrial Engineering at the Federal University of Rio de Janeiro in 2014, and he has a lot of faith that he’ll obtain his PhD at Federal University of Rio de Janeiro in 2018. His work includes consulting for Votorantim Metals and three big projects developed with Petrobras, mostly on offshore supply chain modeling. He is currently working on multi-commodity stochastic inventory location routing problems and discrete event simulation, but also has interest in metaheuristics and entrepreneurship. He is loving with his family and friends, enjoys popcorn, solving complex problems, is hungry for knowledge and hates talking about himself in the third person.
Raghu Bollapragada Northwestern University
Raghu Bollapragada is a 4th year PhD student in the IEMS department at Northwestern University. His primary research interests are designing, developing and analyzing algorithms for large-scale nonlinear and stochastic optimization problems. His projects include the analysis of subsampled Newton methods for large-scale nonlinear optimization problems and the development of sampling strategies for adaptively controlling the sample sizes in stochastic optimization problems. He is also interested in developing efficient interior point methods for nonlinear constrained optimization problems. Besides research, he is an avid cricket enthusiast
Justin Boutilier University of Toronto
[email protected] Justin J. Boutilier is a PhD candidate in Applied Optimization Laboratory at the University of Toronto. Justin’s dissertation focuses on combining both machine learning and optimization to improve the quality, access, and delivery of health care in a variety of settings. In particular, his projects include: emergency medical response optimization in Dhaka, Bangladesh, optimizing a drone network to deliver automated external defibrillators (AEDs) to cardiac arrest incidents in Toronto, Canada, and optimizing a drone system to deliver trauma kits to motor vehicle accidents in Hyderabad, India.
Caglar Caglayan Georgia Tech [email protected] Caglar Caglayan is a 5th year Ph.D. student in Operations Research (OR) program at Georgia Institute of Technology. Caglar’s research focuses on mathematical modeling and computational optimization of dynamic processes under uncertainty. In particular, he utilizes a broad range of analytical methods on several different healthcare applications with the goal of gaining insights and making strategic, operational and clinical healthcare decisions more informed, efficient and effective. He hopes to continue conducting innovative and impactful research on challenging healthcare problems to make methodological and practical contributions to the OR domain, especially with healthcare applications that improve clinical practice.
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RY Vivek Choudhary Insead Business
School Singapore
[email protected] Vivek is a third year PhD student at INSEAD (Singapore) in the Technology & Operations Management area. Before pursuing the PhD, he has been a management consultant with McKinsey & Co. Currently, he is working on topics closely related to the automobile industry using empirical methods. He aspires to contribute in the area of transportation and behavioral operations. He is looking forward to meeting new people at the colloquium making friends.
Robert Cook University of Alabama Tuscaloosa
Rob Curry Clemson University
[email protected] Rob Curry is currently a Ph.D. candidate in the Industrial Engineering department at Clemson University. He holds a B.S.I.E. from the University of Arkansas and an M.S.I.S.E. from the University of Florida. His research concentrates on exact algorithmic approaches in combinatorial optimization, network optimization, and integer programming. He is particularly interested in exact, efficient techniques for solving large-scale network optimization problems. After graduation, he hopes to continue his work through a career in academia.
Shuotao Diao University of Southern California
[email protected] I am a second-year PhD student in Industrial and Systems Engineering at the University of Southern California. My advisors are Suvrajeet Sen and Phebe Vayanos. I earned my Master’s degree in Statistics at Lehigh University and Bachelor’s degree in Physics at Shandong University(China). I am interested in algorithm, analysis of stochastic optimization, and large scale optimization for machine learning. Recently, I have been working on a new class of model, which we refer to as conditional stochastic optimization and solution approaches.
Ahmed Aziz Ezzat Texas A&M University
[email protected] Ahmed Aziz Ezzat acquired the B.Sc. degree in Industrial Engineering from the Arab Academy of Science in Alexandria, Egypt in 2013. He is currently pursuing his Ph.D. degree in Industrial & Systems Engineering at Texas A&M University. His research focuses on the spatio-temporal statistical modeling integrated with domain knowledge in engineering systems with particular emphasis on wind energy applications. He is a student member of INFORMS and IISE.
Sanaz Goldani North Carolina State University
[email protected] Sanaz Goldani is a Ph.D. student in the Operations Research Program at North Carolina State University. Prior to starting her studies at NC State, she was an instructor at the Birjand University of Technology in Iran for several years. She has a passion for teaching and research, and considers returning to the academia upon completing her doctoral degree program. Her research interests span theoretical, computational and applied aspects of mathematical programming, focusing on network optimization. You can reach her at [email protected].
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Wei Guo University of Washington
[email protected] I am a fourth year Ph.D student in Department of Industrial and Systems Engineering (ISE) at University of Washington, Seattle. I completed my Master’s degrees in Aerospace Engineering and ISE at University of Minnesota, Twin Cities, in 2010 and 2014, respectively. Before that, I obtained my Bachelor’s degree in Control Science and Engineering at Harbin Institute of Technology in 2006. My research interests include Machine Learning, Data Mining, and their applications to real-world problems. I am currently working with Professor Ashis G. Banerjee, and mainly focus on effective feature extraction in machine learning and network science problems through tools from topological data analysis.
Francisco Haces-Fernandez
Texas A&M University-Kingsville
[email protected] Francisco Haces-Fernandez is a Ph.D. candidate on the Sustainable Energy Track of the Environmental Engineering Ph.D. Program at Texas A&M University-Kingsville. He holds a BS in Industrial and Systems Engineering from Tecnologico de Monterrey in Monterrey, Mexico and a MS in Industrial Engineering from Texas A&M University-Kingsville. He has twenty years work experience in industry and consulting, and he plans to seek a faculty position after completing his PhD program. His main research interests are renewable energy assessment, characterization and optimization, GIS, remote sensing and big data analysis for evaluation of geospatial activities and phenomena, and computational simulation of industrial and environmental equipment.
Ashkan Hassani Texas A&M University
[email protected] Ashkan Hassani is a third-year PhD student in the Industrial & Systems Engineering Department at Texas A&M University. In conjunction with his PhD studies, Ashkan is pursuing a master’s degree in Financial Economics. His research interests focus on the applications of operations research and economics to healthcare and supply chain management. Currently, he is working on distributed decision making for capacity planning of long-term care facilities. He also studies the problem of post-acute care provider selection.
Tingyu Ho University of Washington
[email protected] TingYu Ho received a B.S. degree from Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, in 2009, and a M.S. degree in electrical engineering, National Taiwan University, Taipei, Taiwan, in 2011. He was a research assistant at the Institute of Information Science, Academia Sinica, Taipei from 2012 to 2014. He is currently a fourth year PhD student in the Department of Industrial & Systems Engineering at the University of Washington. His research interests are in the area of game theory, healthcare applications, and simulation optimization. His teaching interests are Dynamic Programming and Stochastic Models and Decision Analysis.
Jianqiu Huang University of Florida
[email protected] Jianqiu Huang is currently pursuing the Ph.D. degree in the Department of Industrial and Systems Engineering at the University of Florida, Gainesville, FL. His research interests include data-driven stochastic optimization, integer programming, with applications in power grids and scheduling problems. He received the B.S. degree in mathematics and physics from Tsinghua University, Beijing, China, in 2013, then he worked as a graduate assistant at the University of Florida. He also had internship at Sabre Corporation in 2016. He can be reached at [email protected].
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Ashif Sikandar
Iquebal Texas A&M University
[email protected] Ashif S. Iquebal is a Ph.D. candidate in the department of Industrial and Systems Engineering at Texas A&M University, College Station, TX, USA. His research is focused on advanced statistical quality control by using in-situ sensor signals for monitoring process dynamics and ex-situ image-based signals for post-process quality assessment. His work on phase-based anomaly detection from sensor signals was one of the finalist in SAS Data Mining Best Paper Award, INFORMS 2016 and a silver prize for best poster presentation awarded by Southeastern Texas Chapter of the American Statistical Association, 2017. He is a student member of INFORMS, IEEE, and the Institute of Industrial Engineers.
Andres Jola-Sanchez
Indiana University
[email protected] Andres F. Jola-Sanchez is a Ph.D. candidate in Operations Management and Decision Sciences at the Kelley School of Business (Indiana University). His research focuses on war and urban crisis in operations management. His dissertation topic is “Operations Management in Times of War”. Andres holds a bachelor’s degree in Industrial Engineering and Economics, a master´s degree in Industrial Engineering from the Los Andes University (Colombia), and a master´s degree in Business from Indiana University. Prior joining Indiana University, Andres spent four years working as a researcher in the Colombian government.
Busra Keles University of Miami
[email protected] Busra Keles received a B.S. in Mathematics and a M.S. in Industrial Engineering with an academic teaching assistantship— concentrating on applied math & stochastic models. She is currently pursuing a Ph.D. program in Industrial Engineering at University of Miami, with an academic research assistantship. A member of the Center for Advanced Supply Chain Management, Busra started to involve several industrial projects in the field of supply chain management—simulation with animation for the layout of Fort Lauderdale-Hollywood International Airport is one of them. She has published two journal papers in IEEE Transactions on Reliability and IJPE (International Journal of Production Economics), and two conference papers in IISE Conference & Expo. She is also a journal reviewer for IEEE Transactions.
Abinav Khare University at Buffalo
[email protected] Abhinav Khare is a Ph.D. (continuing-Master’s) student of Operations Research in the Department of Industrial & Systems Engineering at University at Buffalo, SUNY since 2015. He has been previously employed with Honda Cars, SAP Labs & Tata Memorial Hospital. He has worked in the area of machine learning, optimization & approximation algorithms in precision medicine in cancer and humanitarian logistics. Currently, he is using doing data mining on social media data and building dynamic supply prepositioning models for increasing efficiency of relief supply in predictable disasters like hurricanes.
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Maryam Khatami Texas A&M University
[email protected] Maryam Khatami is a third-year PhD student in the Department of Industrial and Systems Engineering at Texas A&M University. Her research interests include stochastic programming with applications in healthcare operations and supply chain management. Maryam is currently working on designing optimal inpatient discharge plans in order to minimizing discharge lateness and patient boarding in hospitals. She also works on developing decomposition algorithms for risk-averse multistage stochastic programs.
Cheolmin Kim Northwestern University
Cheolmin Kim is a 3rd year Ph.D student in Industrial Engineering and Management Science at Northwestern University. He received his B.S in Industrial Engineering and B.A in Economics from Seoul National University. His research interests include optimization and machine learning. Specifically, he is interested in designing a new machine learning model, developing an training algorithm and analyzing the efficiency of the algorithm from an optimization perspective.
Ekin Koker University of Massachusetts, Amherst
[email protected] I received my Bachelor’s and Master’s in Industrial Engineering from Istanbul Technical University in 2011 and Sabanci University in 2013, respectively. I am currently a PhD candidate in Industrial Engineering and Operations Research in University of Massachusetts Amherst. My research projects include Production Scheduling and Lead Time Quotation, Patient Scheduling for Team Primary Care Practices and Care Coordination. I have taught a graduate-level online class on Production Planning and Control over the summer. I plan on proposing my dissertation in Fall 2017 in a three-essay format encompassing the above research projects
Isil Koyuncu University of Alabama Tuscaloosa
[email protected] Isil Koyuncu is a third year PhD student in Operations Management at the University of Alabama. She got her BS and MSc degrees in Industrial Engineering in Turkey, from Bilkent and Koc University, respectively. She has worked on airline and maritime scheduling problems and more recently on sustainable supply chain management. In her dissertation, she investigates managerial implications of incorporating green vehicles in transportation operations. Her expertise includes, but is not limited to, applying exact and heuristic solution methods to large scale optimization problems.
Aditya Kulkarni Virginia Tech [email protected] I’m a Ph.D. candidate in the ISE Department at Virginia Tech. Over the course of my graduate studies, I have researched queueing theory, contract theory, and stochastic modeling. I’m currently researching mathematically characterizing contracts that encourage verification and testing of new product designs using Markov decision processes and mechanism design. I enjoy programming in Excel VBA, and I’m involved in an ongoing project with Dr. Patrick Koelling to develop macros that automate the grading process for a course which often has more than 400 students. Outside my graduate life, I enjoy kayaking on the New River near Pembroke, VA.
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Hee Youn Kwon University of Illinois
[email protected] My name is Hee Youn Kwon. I am a PhD student in Systems and Entrepreneurial Engineering at the University of Illinois at Urbana-Champaign. I have worked as a research and teaching assistant in the Department of Industrial and Enterprise Systems Engineering (ISE), the Computational Science and Engineering Program (CSE), and the Department of Computer Science (CS) at the University of Illinois. Currently I am working on extensions in Balance Optimization Subset Selection under the supervision of Professor Sheldon H. Jacobson. Before I came to Illinois, I received a B.S. in Mathematical Sciences from Korea Advanced Institute of Science and Technology (KAIST) and an M.Phil. in Economics from University of Oxford.
Arash Lakeh Virginia Tech [email protected] Arash is a PhD candidate in the Department of Industrial & Systems Engineering at Virginia Tech. In his research, Arash uses data analytics, modeling, and simulation to analyze complex socio-technical systems. The focus of Arash’s dissertation is on management of innovation and science policy. He has the experience of conducting empirical studies, experiments, and building system dynamics models.
Hu Eon Lee University of Arkansas
[email protected] I’m Hueon Lee from South Korea and a fifth-year PhD student majoring in industrial engineering at the University of Arkansas. The focus of my research is the optimization of logistics in various systems. With my undergraduate background in business and management, I view logistics from various angles and can identify diverse research topics associated with it. Currently, I’m working on my dissertation that studies the operation and design optimization of a block stacking storage system and plan to graduate May 2018. If you are interested, you can easily reach me through email, [email protected].
Aaron Lessin Air Force Institute of Technology (AFIT)
[email protected] I am a 3rd year Ph.D. candidate at the Air Force Institute of Technology at Wright-Patterson Air Force Base, Ohio. My research interests are in the areas of optimization, facility location, and air defense interdiction modeling. As an Operations Research Analyst in the United States Air Force, I have the opportunity to apply problem solving skills and mathematical techniques across a wide variety of mission needs, from general research to wartime analysis. My experiences thus far have focused on test and evaluation planning and analysis to inform warfighters and influence acquisition decisions for various defense programs.
David Linz University of Washington
[email protected] David Linz is a Ph.D. candidate at the University of Washington with a prospective graduation date in summer 2017. His theoretical research interests include stochastic optimization and simulation optimization. David also has practical research interests including healthcare planning and strategy as well as derivative-free optimization algorithms for modeling biological systems. He can be contacted via e-mail address is [email protected].
Sheng Liu University of California, Berkeley
[email protected] Sheng Liu is a 4th year PhD student in the IEOR department of UC Berkeley. His major research interests include data-driven decision making and supply chain management. He has teaching experience in both statistics and optimization. He also interned at Amazon in summer 2017 as a research scientist.
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Junyi Liu University of Southern California
[email protected] As a third-year Ph.D. student, I’m working in the fields of stochastic programming, specifically focusing on two-stage stochastic optimization problems. It is a class of optimization problems in which a first stage decision is made prior to observing the uncertainty, and a second stage recourse decision is undertaken so as to adjust to the observation in an optimal manner. With my background in statistics and interests in machine learning, I’m excited to explore more in a new field which is called Learning Enabled Optimization (LEO). It considers a class of stochastic optimization problems with the uncertainty modeled by the machine learning models. I enjoy the beauty of theories and the creativity of algorithms, and hope that they could benefit us in decision-making in the real life.
Yifan Liu Georgia Tech [email protected] Yifan Liu is a fifth-year Ph.D. student majoring in industrial engineering with a concentration in supply chain engineering at Georgia Institute of Technology. He obtained his bachelor’s degree in industrial engineering from Tsinghua University, P. R. China in 2013. His research interests include data-driven modeling, simulation, and optimization in the context of logistic with healthcare application, and the application of statistical modeling and learning. Yifan interned at Walmart eCommerce and Uber Advanced Technology Group in 2016 and 2017 respectively. He aims to combine mathematical modeling and optimization with data science to tackle difficult real-world problems.
Xiang Liu University of Michigan Ann Arbor
Christopher Lourenco Texas A&M University
[email protected] My name is Chris Lourenco and I am a third year PhD student in industrial and systems engineering at Texas A&M University, studying under Dr. Erick Moreno-Centeno. My primary research interest is in exact linear programming, particularly in designing more efficient algorithms for the exact verification of linear programming bases. Additionally, I am interested in the broad area of deterministic operations research by studying methods used to solve large scale linear and integer programs. This is my first time attending an INFORMS conference, and I am looking forward to meeting people and learning more about the work going on in the field.
Tianshu Lu University of Toronto
Qi Luo University of Michigan Ann Arbor
Nadere Mansouri Southern Methodist University
[email protected] Nadere is a Ph.D. student in Operations Research at Southern Methodist University. She joined SMU in 2015 as a Research/Teacher Assistant and earned a Master’s degree in System Engineering at Amirkabir University of Technology (Tehran Polytechnic) before joining the PhD. program. Her current research focuses on network design applications and Benders Decomposition. Nadere grew up in Tehran, Iran, where she earned her Bachelor degree in Pure Mathematics at University of Tehran and Master degree.
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Roshanak Mohammadivojdan
University of Florida
[email protected] Roshanak (Roshi) Mohammadivojdan is a PhD candidate at the University of Florida. She joined the Industrial and Systems Engineering department as a graduate assistant in 2013. Roshi’s research interests include supply chain management, transportation, and design of algorithms. She likes teaching and currently, is an instructor for the “Inventory and Supply Chain Systems” course for undergraduate students at UF.
Siddhartha Nambiar North Carolina State University
[email protected] Siddhartha Nambiar is currently pursuing his Ph.D in Industrial Engineering at North Carolina State University. Previously, he obtained his Master’s degree in Industrial Engineering from SUNY Buffalo and his bachelor’s degree in Mechanical Engineering from the Indian Institute of Technology. His research interests lie in applying mathematical modeling towards improving healthcare outcomes and processes. Currently, he is working on a detailed simulation model related to colorectal cancer and on an analytical model of resource allocation for patients suffering from sepsis. In addition to his research related duties Sidd also currently serves as the Lead Editor of ORMS Tomorrow, which is INFORMS’s online student newsletter.
Ngoc Nguyen Virginia Tech [email protected] Ngoc Nguyen is a PhD student in Operations Research at Virginia Tech. Her research interests are in healthcare system strategical planning and management, with a focus on optimal policy for surveillance studies of emerging infections and diseases. With a passion for efficient delivery of healthcare services, Ngoc hopes to expand her research to address optimal budget allocation for surveillance studies under uncertainty and other prevalent issues in the planning of healthcare services. She is interested in an academic career in order to achieve her goal of bringing the knowledge and research results in healthcare management to aspiring engineers and scientists, and healthcare providers. Having graduated from Virginia Tech as an undergraduate as well, she is also a strong proponent of anything Maroon and Orange.
Destenie Nock University of Massachusetts Amherst
[email protected] Destenie Nock is a PhD Candidate in Industrial Engineering and Operations Research at the University of Massachusetts Amherst, an NSF Graduate Fellow, and an IGERT fellow. Prior to this she was a Mitchell Fellow in Northern Ireland where she earned an MSc in Leadership for Sustainable Development at Queens University of Belfast. Her research is focused on evaluating the sustainability and reliability of the electricity grid in New England as well as evaluating the ability to meet energy access goals in developing countries. She has two BS degrees from North Carolina A&T State University in Electrical Engineering and Applied Mathematics. In addition she has held internships at Argonne National Lab, Exxon Mobil, and the Utility Regulator of Northern Ireland.
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Farnaz Nourbakhsh Southern Methodist University
[email protected] Farnaz is a Ph.D. student in Operations Research at Southern Methodist University. She joined SMU in 2016 as a Teacher/Research Assistant and earned two Master’s degrees in Industrial and Management System Engineering and Mechanical Engineering and Applied Mechanics from University of Nebraska-Lincoln as a Teacher/Research Assistant. Her current research focuses on reliving the congestion, optimizing the efficiency and quality of care in hospital for End-stage renal disease (ESRD) patients who are un-/under-funded. Farnaz grew up in Tehran, Iran, where she earned her Bachelor degree in Industrial Engineering and served one years as an Industrial Engineer (Quality Control) before coming to the US.
Prasad Parab Texas A&M University
[email protected] My name is Prasad Parab and I am a PhD student in department of industrial and systems engineering at Texas A&M University, working under guidance of Dr. Lewis Ntaimo. My research work is focused on the field of multi-stage stochastic programming, especially in developing decomposition algorithms to solve risk-averse stochastic programs. My research work also focuses on practical implementation and computational analysis of these decomposition algorithms. During the colloquium, I intend to meet fellow students and learn more about new opportunities in the operations research field.
Jangho Park The Ohio State University
[email protected] Jangho Park is a Ph.D. candidate in the Integrated Systems Engineering department at the Ohio State University, advised by Güzin Bayraksan. He received M.S. in Industrial Engineering from Pohang University of Science and Technology (POSTECH), Pohang, South Korea and B.S. in Industrial Engineering from Hanyang University, Seoul, South Korea.His research interests are in stochastic optimization, particularly sequential sampling procedure and convergence of risk-averse and distributionally robust stochastic optimization.
Georgios Patsakis University of California, Berkeley
[email protected] My research primarily lies at the interface of economics and behavioral operations, with a particular interest in analyzing behavioral aspects of management decisions under uncertainty in principal agent problems inside and in between companies. The general approach of my research is to capture behavioral preferences and biases of decision makers in business scenarios using laboratory experiments in order to analyze their implications on company profits and introduce behavioral solutions to decrease profit losses.
Vineet Payyappalli University at Buffalo
[email protected] I am a PhD student in the department of Industrial & Systems Engineering, University at Buffalo. My research focus is on operations research and game theory applied on fire risk management. I am enthusiastic about working with data, and I always strive to collect and analyze large amounts of research-related data to derive insights and build models. My short term goal is to become an operations research scientist at a reputed organization, and my long-term goal is to develop optimal and sustainable solutions to global challenges. I am also the president of the student chapter of INFORMS at University at Buffalo. In this capacity, I lead our chapter’s activities that include pro-bono projects with not-for-profit organizations in Buffalo.
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Pradeep Pendem University of North Carolina at Chapel Hill
I am Pradeep Pendem, a 5th year PhD candidate in Operations Management at Kenan-Flagler Business School, University of North Carolina, Chapel Hill. My research interests are in Data-Driven Optimization and Business Model Innovation studies in Urban Mobility Service Systems. I have a Bachelors in Electrical & Electronics Engineering, Masters in Applied Statistics and Operations Research. Prior to start of the PhD program in fall 2013, I worked for 3 years in two service organizations – Wipro Technologies and Fidelity Investments as a Business Analyst and over 1.5 years as Research Associate at Indian School of Business, Hyderabad.
Abhishek Roy The University of Texas at Austin
Abhishek Roy is a Doctoral Candidate in Supply Chain and Operations Management, from the University of Texas at Austin. Abhishek’s research involves strategic interactions between agents in supply chains, and the interface of platform economics and supply chain management. Prior to beginning his PhD, Abhishek earned a BE in Production Engineering from Jadavpur University, India, and an MBA from the Indian Institute of Management, Ahmedabad. Abhishek has five years of experience as a Supply Chain and Logistics Consultant and Project Manager at Miebach Consulting, a multinational SCM consulting firm. Abhishek enjoys teaching Supply Chain and Operations Management to young students as well as seasoned executives, and a leisurely bike ride around town when he is not working.
Mahshid Salemi Parizi University of Washington
[email protected] Mahshid Salemi Parizi is a PhD student in Industrial and Systems Engineering at the University of Washington, Seattle. She completed her undergraduate education in Industrial Engineering at Sharif University of Technology. Her research interest is in approximate dynamic programming and its application in data driven decision making. Her email address is [email protected].
Ghasemali Salmanijajae Virginia Commonwealth University
I am a Ph.D. candidate in Operations Research (System Modeling and Analysis) at Virginia Commonwealth University (VCU), and I expect to graduate in May 2018. I believe conducting research and teaching classes are my strengths. For the last six years, I have been teaching different classes (e.g., Algebra, Calculus, Operations Research, and Statistics) in the USA and in my home country of Iran. As an Industrial Engineer, I also worked as a consultant in different industries which allowed me to utilize my OR knowledge to solve challenging business problems.
Isabella Sanders Virginia Commonwealth University
Yusuf Secerdin University of Miami
[email protected] Yusuf Secerdin is currently a PhD candidate at the Department of Industrial Engineering and a research assistant at Center for Advanced Supply Chain Management (CASCM) at University of Miami. He received a B.B.A degree from Hacettepe University, Ankara and a M.S. degree in Industrial Engineering from TOBB University of Economics and Technology, Ankara. His dissertation research focuses on network design problems specifically pertaining to aircraft routing and scheduling on service networks. His earlier work was published in Annals of Operations Research. He is a member of INFORMS and his e-mail address is [email protected].
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Kartikey Sharma Northwestern University
Kartikey Sharma is a 4th year PhD student at the Industrial Engineering and Management Sciences department at Northwestern University. His research focuses on robust optimization problems with varying and adaptable uncertainties, with the goal of finding tractable and useful uncertainty models. He has also served as the president of his department’s INFORMS student chapter. Besides research, he spends his time reading and playing squash.
Saumya Sinha University of Washington
[email protected] I’m a PhD student in the Applied Math department at the University of Washington, Seattle, and am primarily interested in stochastic optimization under parameter uncertainty. My research is on theory and solution methods for robust Markov decision processes, and I have also worked on robust variants of applications in healthcare and logistics. Prior to this, I obtained an MS in Math from India. My larger research goal is to combine mathematical theory with OR applications. I also wish to contribute to a more application-based teaching of Mathematics.
Levente Sipeki Colorado School of Mines
[email protected] Levente Sipeki earned an MS in computer science, and is a PhD candidate in operations research with engineering at the Colorado School of Mines. He specializes in underground mine design optimization and social network analysis. During his time at Mines he taught undergraduate courses in computer science. Before returning to Mines for the PhD pro-gram, he worked on cleansing and storing large amounts of data to be used for analytics at FICO.
Kathryn Smith North Carolina State University
[email protected] I’m a fourth year PhD student studying Industrial and Systems Engineering at North Carolina State University. My research is focused on improving the ability to deliver care and medication for community pharmacies as well as HIV clinics in Zambia. I’m interested in pursuing a faculty position with a split focus on teaching and research. I would like to continue working on healthcare related problems using simulation and other modeling methods.
Lauren Steimle University of Michigan Ann Arbor
Bradley Sturt Massachusetts Institute of Technology
[email protected] I am a third-year PhD candidate in Operations Research at MIT. My research interests are in data-driven optimization, statistics, algorithms and complexity, and their applications in analytics and operations management. I love teaching MBA and PhD students, and am a co-organizer of an MIT course on “Computation for Statistics and Optimization”. I am originally from the Chicago suburbs, and did my undergraduate studies in Computer Engineering and Technology and Management at the University of Illinois in Urbana, Champaign (UIUC). I have previously interned at Facebook and Google as a Data Scientist and Software Engineer.
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Ruichen Sun University of Pittsburgh
[email protected] Ruichen (Richard) Sun is a Ph.D. candidate in Industrial Engineering at the University of Pittsburgh, where he is advised by Prof. Lisa M. Maillart and Prof. Andrew J. Schaefer. His research interests lie in decision-making under uncertainty and its applications in healthcare. His methodologically interests include stochastic programming (SP), Markov decision process (MDP), and mixed-integer programming (MIP). His doctoral research work focuses on studying operations research in milk banking applications, including optimal processing of donor human milk. He has also worked on multi-stage stochastic programming and its applications.
Chih-Li Sung Georgia Tech [email protected] Chih-Li Sung is a Ph.D. candidate at the Stewart School of Industrial & Systems Engineering at Georgia Tech. His research interests include computer experiment, uncertainty quantification, machine learning, and applications of statistics in engineering. He was awarded the best student poster at the ISBIS 2017 Meeting on Statistics in Business and Industry, and received the Spring Research Conference Student Scholarship on Statistics in Industry and Technology in 2016. Prior to arriving at Georgia Tech, Chih-Li Sung was a research assistant at Academia Sinica from 2013 to 2014, and a statistical engineer at Walsin Lihwa Corporation from 2010 to 2013. He received a B.S in applied mathematics and an M.S. in statistics from National Tsing Hua University in 2008 and 2010, respectively.”
Ozge Surer Northwestern University
Ozge Surer is a third year PhD student in the Industrial Engineering and Management Science department at Northwestern University. She studied for the BS at Istanbul Technical University and earned an MS degree from Bogazici University in the same field. Her master’s thesis focused on time representation – specifically, event-based representation of time in mathematical optimization. She is currently conducting research in statistics. She is studying the problem of discovering ontology from existing structured data set and integrating it into predictive models.
Anna Svirsko University of Pittsburgh
[email protected] I received my undergraduate degree in Mathematics from Carnegie Mellon University and my master’s degree in Statistics and Operations Research from the University of North Carolina – Chapel Hill. I am the President from the INFORMS Student Chapter at the University of Pittsburgh and an active member in the Graduate Women’s Engineering Network and the Engineering Graduate Student Organization. My research interests lie in the healthcare field and include current collaborations with Geisinger Health System to improve pharmacy operations and Children’s Hospital of Pittsburgh to improve emergency department operations and the ambulatory scheduling process.
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Andrea Trevino Northwestern University
Andrea Trevino-Gavito is a Ph.D. Candidate in Industrial Engineering and Management Sciences at Northwestern University. Her research interests lie in the fields of machine learning, deep learning, applied statistics and anomaly detection. She was worked in applications in finance and healthcare. Andrea holds dual B.S. degrees in Applied Mathematics and Computer Science and has four years of experience in finance working for the Mexican Central Bank in the use of data for financial supervision.
Ozge Tuncel Singapore University of Technology and Design (SUTD)
I mentored junior PhD students to adjust to the PhD life as the only female pioneer PhD Student at SUTD, and in order to educate the researchers about the importance of behavioral biases and preferences in designing solutions for humans, I organized a Behavioral Research Workshop and founded the Behavioral Research Community at SUTD. My research primarily lies at the interface of economics and behavioral operations, with a particular interest in analyzing behavioral aspects of management decisions under uncertainty in principal agent problems inside and in between companies. The general approach of my research is to capture behavioral preferences and biases of decision makers in business scenarios using laboratory experiments in order to analyze their implications on company profits and introduce behavioral solutions to decrease profit losses.
Aybike Ulusan Northeastern University
[email protected] Yusuf Secerdin is currently a PhD candidate at the Department of Industrial Engineering and a research assistant at Center for Advanced Supply Chain Management (CASCM) at University of Miami. He received a B.B.A degree from Hacettepe University, Ankara and a M.S. degree in Industrial Engineering from TOBB University of Economics and Technology, Ankara. His dissertation research focuses on network design problems specifically pertaining to aircraft routing and scheduling on service networks. His earlier work was published in Annals of Operations Research. He is a member of INFORMS and his e-mail address is [email protected].
Site Wang Clemson University
[email protected] My name is Site Wang, and I am Ph.D. Candidate in Clemson University currently conducting my year-round internship in Los Alamos National Lab. My dissertation work focuses on infrastructure adaptation optimization under the uncertainty of climate change, which couple the decision-making tool with state-of-the-art physical models for smart and resilient future infrastructure. I am passionate about stochastic optimization with black-box simulation models or a complicated probabilistic environment and really focus on the topic of joint chance constraints with sampling schemes type of analyses in my dissertation work. Meanwhile, I am an active developer of the Julia Language community with dedication on mathematical modeling interfaces and global solvers for mixed-inter non-linear problems. You can always reach me through my email at [email protected]
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Yiwei Wang University of California Irvine
[email protected] Yiwei (Derek) Wang is a fourth year PhD student in Operation, Decision and Technology at Paul Merage School of Business, University of California, Irvine. He received his Bachelor’s degrees in Industrial Engineering and Operations Research at University of California, Berkeley. Yiwei’s primary research area is innovative product introduction and quality design. His research examines pricing and technology choices for innovative products such as electric vehicle batteries. Besides his academic endeavor, Yiwei is also in the core investment team of a Chinese fund, Heico Capital.
Jingxing Wang University of Michigan Ann Arbor
Renyuan Xu University of California, Berkeley
Liang Xu Pennsylvania State University
[email protected] Liang is well trained in economic modeling, analytical analysis and empirical methods, and he is laying the groundwork for a solid research program in pharmaceutical supply chain and health care operations management. With his dissertation in particular, he is delving into issues of specialty drug distribution, the regulatory oversight of pharmaceutical research and development, and risk-sharing contract for pharmaceutical products.
Yufei Yang Singapore University of Technology and Design
Yuwen Yang University of Pittsburgh
[email protected] My research interest is in developing an innovative MIP-based algorithm to solve a large scale network design problem for the distribution system associated with the WHO’s Expanded Program on Immunization (EPI). After completing the M.S. program in Industrial Engineering at the University of Pittsburgh in 2016, I decided to apply to Pitt’s Ph.D. program in order to pursue my strong interests in the area of Operations Research and was formally admitted to the doctoral program in May, 2016. After graduation I am still debating between a career in academia or industry.
Nan Yang University of California, Berkeley
Soovin Yoon University of Wisconsin-Madison
[email protected] Soovin Yoon is a 4th year Ph.D. student in the Industrial and Systems Engineering at University of Wisconsin-Madison. She focuses on modeling and solving applied queuing and optimization problems and sequential decision making in urban emergency services. Specific research topics are deploying and dispatching ambulances to 911 calls with iterative mixed integer linear programming and reassigning emergency patient priorities with dynamic programming. Her dissertation topic is scenario-based stochastic ambulance location problem with two types of servers. Last summer she interned at United Airlines and flew to 8 different cities around the world in 12 weeks
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Carlos Zetina Concordia University
[email protected] After two and a half years of working as a banking consultant, Carlos moved to Montreal in Fall of 2014 to pursue a Ph.D. in industrial engineering. He obtained a B.Sc. in Applied Mathematics and Computers and an M.Sc. in Industrial Engineering from the Universidad de las Americas Puebla where he was awarded a full scholarship and named valedictorian of the science faculty’s 2010 graduating class. His doctoral research is focused on developing efficient exact methods for large scale network design problems. Along the way, he has worked toward creating a more united Operations Research student community in Montreal by co-founding the Montreal Operations Research Student Chapter (MORSC) and The Operations Research Challenge-Montreal (TORCH-Mtl). Grateful for the opportunities he was given, he returns the favor by working in liaison with high schools from his country, Belize, to promote higher education scholarships to talented Belizean students.
Anpeng Zhang University at Buffalo
[email protected] I’m currently a PhD student major in Industrial Engineering Operations Research at UB. My research interests focus on Linear/nonlinear optimization, network optimization, computational game theory and numerical analysis. My teaching interests focus on Applied Probability & Statistics Inference as well as traffic analysis. I’m familiar with topics in the area of transportation including vehicle routing problems, sustainable transportation, electric vehicles and shared mobility systems. Currently, I’m working on User Matching for Autonomous Vehicle Co-ownership Programs as my dissertation.
Maggie Zhang University of North Carolina at Chapel Hill
My name is Ying (Maggie) Zhang. I am currently a Ph.D student in Department of Operations at Kenan-Flagler Business School, University of North Carolina at Chapel Hill. My research focuses on emerging market operations, with an emphasis on agriculture operations and global supply chain management. My academic advisor is Prof. Jay Swaminathan. I am in the job market this year and would like to pursue a faculty position.
Junlong Zhang North Carolina State University
[email protected] I’m a fourth-year PhD student in the Department of Industrial and Systems Engineering at NC State University. My research interests are in stochastic programming, integer programming and bi-level programming. My application areas of interest include but not limited to logistics, transportation and health care. I’m open to possible collaboration in these areas and also other optimization and operations research areas.
Long Zhao University of Texas-Austin
[email protected] My name is Long Zhao, a 5th-year Ph.D. student from UT Austin McCombs Business School IROM department. My research interest is data-driven optimization coupled with a deep understanding of the error of estimation. My favorite part of research is the involvement of empirical data; it gives me immediate feedback just like video games. I enjoy teaching and I believe that one never really learns something until one teaches it.
Kezhuo Zhou University of Florida
[email protected] Kezhuo Zhou is currently a student employee at Electric Power Research Institute, doing research in grid operations and planning. He is also a Ph.D. student at University of Florida, doing research in stochastic optimization under the supervision of Prof. Yongpei Guan. Before that, he obtained a bachelor’s degree from the School of Mathematical Sciences, Fudan University in China.
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Yi Zhou Georgia Tech [email protected] My name is Yi Zhou, a fifth-year Ph.D. Candidate majored in Operations Research at the School of Industrial and Systems Engineering in Georgia Institute of Technology. I was a research intern at Energy Division of Argonne National Lab during the summer of 2017. My research interests mainly focus on designing, analyzing and implementing fast and efficient first-order algorithms to solve convex optimization problems, which has many applications in machine learning, statistical inference, and distributed optimization, etc. My teaching interests lie in courses related to optimization and mathematics. I am an independent, self-motivated, problem-oriented multitasker.
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