Speaker Bio
Dan Adelman:
Professor Dan Adelman is Associate Professor of Operations Management
at the University of Chicago Graduate School of Business, where he has
been on the faculty since 1997. He teaches core courses in operations
management in the executive, part-time and campus MBA programs.
Professor Adelman holds a Ph.D. in industrial engineering and
operations research from the School of Industrial and Systems
Engineering at Georgia Tech. He has won several academic awards,
including the George B. Dantzig Prize in 1998. Professor Adelman's main
research interest is to develop theory and practice for "price-directed
operations management," which blends internal transfer pricing,
optimization, and approximate dynamic programming. Recently, his
research has focused on applications in industrial gas distribution,
intermodal logistics, and classical inventory control. He
has published in Manufacturing & Service Operations Management,
Operations Research, and forthcoming in Mathematics of Operations
Research. He sits on the editorial board of Manufacturing & Service
Operations Management, IIE Transactions, and is an Associate Editor for
Operations Research.
Elodie Adida:
Elodie Adida is a PhD candidate in the Operations Research Center at
the Massachusetts Institute of Technology under the supervision of
Georgia Perakis. She received an Engineering Degree from "Ecole
Centrale Paris", France in 2001.
Philipp Afeche:
Philipp Afeche is an Assistant Professor at the Kellogg School of
Management at Northwestern University, where he teaches courses in
Operations and Supply Chain Management. He holds a Ph.D. degree
in Operations, Information and Technology and an M.S. degree in
Electrical Engineering from Stanford University. His research focuses
on revenue management, in particular on pricing and capacity decisions
in queueing systems. Dr. Afeche is on the editorial boards of
M&SOM and Electronic Commerce Research.
Chris Anderson:
Chris Anderson is an Assistant Professor at the Ivey School of Business
at The University of Western Ontario, where he teaches Management
Science, Statistics and Financial Modeling. He has B.Sc.
and MSc. in Engineering from the University of Guelph and a MBA
and PhD from the Ivey School of Business. His primary research
interests are in dynamic pricing and revenue management.
Opher Baron:
Opher Baron is an assistant professor of operations management at the
Rotman School of Management, the University of Toronto. He has a
Ph.D. in operations management from the MIT Sloan School of Management
along with an MBA and a BSc in Industrial Engineering and Management
from the Technion, Israel Institute of Technology. His research
interests include applied probability, pricing, and revenue management.
Peter Belobaba:
Peter P. Belobaba holds a Master of Science in Transportation and a
Ph.D. in Flight Transportation Systems from the Massachusetts Institute
of Technology. His doctoral dissertation entitled, “Air Travel
Demand and Airline Seat Inventory Management”, is widely recognized as
the first Ph.D. thesis published on the topic of airline yield
management. Dr. Belobaba is currently a Principal Research
Scientist at the Massachusetts Institute of Technology (MIT), where he
teaches graduate level courses on The Airline Industry and Airline
Management, in the Department of Aeronautics and Astronautics. He
is also a Visiting Professor of Aviation Management in IATA
International Aviation MBA Program at Concordia University in Montreal.
Dr. Belobaba has been involved in research and consulting related to
airline revenue management systems since 1985. He manages an MIT
research consortium funded by seven international airlines to explore
the areas of airline demand forecasting, seat inventory management,
network revenue optimization, and simulation of the competitive impacts
of revenue management. Dr. Belobaba has also worked as a
consultant on the evaluation, development, simulation, implementation
and testing of airline revenue management systems at over thirty
airlines worldwide. He has published articles dealing with
revenue management an airline completion in Operations Research,
Transportation Science, Decision Sciences, Journal of Revenue and
Pricing Management and the Journal of Air Transport Management.
Dimitris Bertsimas:
Dimitris Bertsimas is currently the Boeing Professor of Professor of
Operations Research at the Sloan School of Management, Massachussetts
Institute of Technology (MIT). He has received a BS in Electrical
Engineering and Computer Science at the National Technical University
of Athens, Greece in 1985, a MS in Operations Research at MIT in 1987,
and a Ph.D in Applied Mathematics and Operations Research at MIT in
1988. He has been in the faculty at MIT ever since. He has worked in
the areas of optimization of stochastic systems arising in
manufacturing, transportation and telecommunications. He is an Area
Editor for Financial Engineering in the journal Operations Research and
an Associate Editor for the journal Mathematics of Operations Research.
He was the recipient of the Presidential Young Investigator award in
1991 awarded by the National Science Foundation.
Dirk Beyer:
Dirk Beyer is a Principal Scientist in the Decision Technologies
Department at Hewlett-Packard Laboratories in Palo Alto, CA. He holds a
Master's degree in Mathematics and Physics and a PhD in Operations
Research from Leipzig University, Germany. His research interests span
a wide spectrum of business applications of OR including the
application of analytical techniques to the design and management of
computing infrastructure, Supply Chain Management and Customer
Relationship Management.
Gabriel Bitran:
Gabriel R. Bitran is a Chair Professor at the MIT Sloan School of
Management. He is a member of the Operations Management
Group. Professor Bitran’s research interests lie in the field of
manufacturing, logistics, and the service industry. More recently
he has been working on pricing for high-tech services, fashion retail
goods and services, and design of bandwidth markets, as well as related
revenue management problems.
Andrew Boyd:
E. Andrew Boyd is currently Chief Scientist and Senior Vice President
at PROS, where he heads a group of advanced degree recipients in
Economics, Operations Research, Quantitative Marketing, and Statistics.
He received his A.B. with Honors at Oberlin College with majors in
Mathematics and Economics in 1981, and his Ph.D. in Operations Research
from MIT in 1987. Andy spent nine years as a university professor prior
to joining PROS.
Agustin Cano:
Agustín Cano is working in Aeromexico since 1982. He is a VP for
Systems Decision Support as well as a VP for Revenue Management and a
Commercial Planning Manager. He has worked in system development &
implementation and Operational Engineering. He holds an MBA “IPN
México” and a degree in Aeronautical Engineering from “IPN
México”.
Eric Cope:
Eric Cope received his Ph.D. in Management Science and Engineering from
Stanford University in 2004 and is currently an assistant professor in
the Operations and Logistics division of the Sauder School of Business
at the University of British Columbia in Vancouver, BC. His main
areas of interest are in stochastic control and reinforcement learning,
with application to revenue management and computer networks.
William Cooper:
William L. Cooper is an Assistant Professor in the Industrial
Engineering Division of the Department of Mechanical Engineering
at the University of Minnesota. He received a B.A. in Mathematics from
the University of Pennsylvania in 1993 and a Ph.D. in Industrial
Engineering from Georgia Tech in 1999. His research interests include
stochastic modeling, revenue management, and inventory theory.
Parijat Dube:
Parijat Dube received his M.S. in Electrical Communication Engg.
from Indian Institute of Science, Bangalore in 2001 and his Ph.D. in
Computer Science from Univeristy of Nice-Sophia Antipolis in 2002 where
he was affiliated to INRIA, Sophia Antipolis, France. He
joined IBM T. J. Watson Research Center, Hawthorne, New York in 2002.
His research interests include queueing theory, performance
evaluation and control of communications networks, sensor networks and
pricing.
Awi Federgruen:
Awi Federgruen is the Charles E. Exley Professor of Management and
former Senior Vice Dean at the Graduate School of Business at Columbia
University. Professor Federgruen joined the Columbia University
faculty in 1979 after receiving his doctorate in Operations Research at
the University of Amsterdam in the Netherlands, and after being a
Research Fellow at the Mathematical Centre in Amsterdam and a faculty
member at the Graduate School of Management of the University of
Rochester. Professor Federgruen is a world renowned expert in the
development and implementation of planning models for logistical
systems, in particular in the areas of production, inventory and
distribution planning for supply chain management, and the design and
analysis of operations strategies for service systems. He is also
a prime contributor to various areas of quantitative methodology, in
particular the areas of applied probability models and dynamic
programming. He is a former Departmental Editor for the Department of
Manufacturing, Service and Operations of Management Science , Associate
Editor of Operations Research, and current Senior Editor of
Manufacturing, Service and Operations Management, the flagship journals
of his profession. He is the author of over hundred and twenty
publications, in the premier journals of his field, and he has authored
a book on Markovian Control problems and numerous book chapters for
important survey text books. The recipient of a series of
National Science Foundation and ARPA grants, his Ph.D. students are
affiliated with some of the most influential university departments and
industrial research laboratories (the Wharton School of the University
of Pennsylvania, the Fuqua School of Duke University, the Olin School
of Washington University, the Simon School of the University of
Rochester, the Business and Engineering Schools of Tel_Aviv University,
the Business School and Statistics Department of the Hebrew University,
IBM, AT&T Bell Laboratories, Merck).
Nelson M. Fraiman:
Nelson Fraiman is Professor of Professional Practice in the Decision,
Risk and Operations division of Columbia Business School and
Co-Director of the W. Edwards Deming Center for Quality, Productivity
and Competitiveness. He joined the faculty in 1995 after a 17-year
career at International Paper, where his last position was chief
technology officer for eight manufacturing divisions. Fraiman
teaches operations and technology management. During his years with
International Paper, he taught as an adjunct in Columbia College and in
the School of Engineering and Applied Science. Fraiman has a B.S,
M.S., M.B.A., M.Phil, and Ph.D., all from Columbia University.
Scott Friend:
Scott Friend is President and Co-Founder of ProfitLogic. His
responsibilities include establishing and leading the strategic vision
of how retailers can dramatically improve economic performance through
enhanced merchandising decision making. He brings 15 years of
experience building and delivering solutions to the retail marketplace,
which includes driving business development at Learning Sciences
Corporation, being a Principal at The Parthenon Group, and working in
IBM's retail industry unit. Scott's academic training includes a
bachelor's degree in electrical engineering and economics, magna cum
laude from Brown University and a master's degree with distinction from
Harvard Business School. He was recently honored with Chain Store Age's
"Top Retail Executives Under 40" award, which recognizes individuals
who are revolutionizing retail.
Terry Friesz:
Terry L. Friesz, the first Harold and Inge Marcus Chaired Professor of
Industrial Engineering, The Pennsylvania State University, University
Park, received his Ph.D. from The Johns Hopkins University in 1978.
Prior to joining the Penn State, he was the faculty member at the
Massachusetts Institute of Technology, University of Pennsylvania and
the George Mason University. His current research focuses on the
application of nonlinear programming, dynamic optimization, game theory
and functional analysis to a number of areas, including supply chains;
logistics and freight systems; revenue management; and dynamic pricing.
Guillermo Gallego:
Professor Gallego obtained his PhD in Operations Research and
Industrial Engineering at Cornell University. He has consulted
extensively in the areas of Manufacturing, Supply Chain, Revenue
Management and Distance Learning. He has been Associate Editor,
Departmental Editor and Senior Editor of several of the flagship
journals of his field and has been an invited speaker at almost all
national and international universities with strong programs in
Operations Research and Operations Management. Professor Gallego has
been the recipient of six NSF grants and of several industrial grants
to support his research activities. He has published over fifty papers
in prestigious journals including seminal papers in Supply Chain,
Inventory Theory and Revenue Management. His graduate students are
associated with prestigious universities. He served as a Visiting
Scientist at IBM from 1999-2003 and is currently the Chairman of the
IEOR Department at Columbia University. He spent his 1996-1997
Sabbatical at the Graduate School of Business at Stanford University.
Jeremie Gallien:
Jeremie Gallien is the J. Spencer Standish Career Development Professor
in the Operations Management Group of the MIT Sloan School of
Management, also a faculty member of the MIT Operations Research Center
and the Leaders For Manufacturing Program. His research work focuses on
mathematical models for pricing and revenue optimization, planning,
scheduling and procurement in supply chains. At MIT he teaches the MBA
class Introduction to Operations Management, the LFM module Managerial
Simulation, and the doctoral class The Theory of Operations Management.
Dr. Gallien holds an Eng.D. in Production Systems from the Ecole des
Mines de Paris and a Ph.D. in Operations Research from MIT.
Rahul Garg:
Rahul Garg completed his PhD from Indian Institute of Technology, Delhi
in 1999, MS from University of California at Berkeley in 1995 and B.
Tech. in Computer Science and Engineering from the Indian
Institute of Technology, Delhi in 1993. His research interests are
Applications of Game Theory in Computer Science, Integrated Services
Networks and High Performance Computing. He has been working at IBM
India Research Lab in Delhi since 1999. He is presently the manager of
high-performance computing group at IBM India Research.
Yezekael Hayel:
Mr. Hayel is a PhD student at INRIA, in France. His research spans the
field of pricing of communication networks. This work was completed
while Mr. Hayel spent a summer as a visitor at IBM Research.
Craig Hopperstad:
Craig Hopperstad is currently the president of his own company,
Hopperstad Consulting Inc., which is a major contributor to the field
of airline planning technology. Previously, as a Project Director in
the Boeing Commercial Airplane Group, he was a principal in the
development of passenger preference, fleet planning, scheduling and
revenue management models. He is the author of numerous papers
and presentations, most of which deal with the application of the
Passenger Origin/Destination Simulator (PODS) that he developed at
Boeing and for which Hopperstad Consulting now holds a license.
His honors include designation as a Distinguished Member of the Airline
Group of the International Federation of Operations Research Societies
(AGIFORS).
Houyuan Jiang:
Dr Jiang is a University Lecturer in the Judge Institute of Management
at University of Cambridge. His research interests lie in
combinatorial optimization for network design,
resource allocation and staff scheduling, mathematical programming for
the development of theories and algorithms, and applied operations
research on model building and implementations for real world problems
such as network design, revenue management and resource allocation.
Hong Jin:
Hong Jin is Director of Revenue Analytics at Starwood Hotels &
Resorts, responsible for Revenue Management planning system design and
enhancement. In the past year, Mr. Jin implemented a new analytical
approach in hotel pricing and inventory management at pilot hotels in a
competitive metropolitan area. The new approach helps to improve hotel
performance and market share significantly. Hong Jin graduated from MIT
with Ph.D. in Transportation Planning and Logistics. Dr. Jin has rich
experiences in planning application development and business consulting
across multiple industries.
Soulaymane Kachani:
Soulaymane Kachani is an Assistant Professor at the Industrial
Engineering and Operations Research Department of Columbia University.
His research interests are in dynamic pricing and revenue optimization,
logistics and supply chain management, transportation network
management, game theory, variational inequalities and equilibrium
problems. Before joining Columbia, he worked at McKinsey & Company.
He holds a diplome d'ingenieur from Ecole Centrale Paris, an M.S. and a
Ph.D. from MIT's Operations Research Center.
Edward Kambour:
Edward Kambour received his Ph.D. in Statistics from Texas A&M
University in 1998, and a B.A. in Mathematics and Economics from
Moorhead State University in Moorhead, MN. His doctoral thesis
introduced a Bayesian approach to statistical process control.
Ed's papers and reseach interests include Bayesian Quality Control
methods (industiral and bio-stat applications), Bayesian forecasting
(specifically for revenue management applications), and Sports
Statistics. He is currently the Senior Research Statistician and
Manager of Forecast Science at PROS Revenue Management, where he has
worked since 1998.
Chris Kenyon:
Chris Kenyon is a Research Staff Member at IBM Research, Zurich
Research
Laboratory (since 2000) and was previously at Schlumberger Austin
Research
and McGill University. He has a MCSE in Operations Research from
University
of Texas at Austin (1997), a Ph.D. in Applied Mathematics from
Cambridge
University (1989) and is a former Fellow of Wolfson College, Cambridge
(Computer Modeling). His current research interests include price
design
for outsourcing contracts, regulatory compliance and risk, mathematical
finance and network optimization, and real options. Email:
chk[at]zurich.ibm.com.
Srinivas Krishnamoorthy:
Srinivas Krishnamoorthy is a Doctoral Candidate at Columbia Business
School. His research interests are revenue management & pricing,
marketing-operations interface and applied game theory. Before joining
Columbia he worked at The Unit Trust of India. He holds a B.Tech in
Mechanical Engineering from IIT Madras and an MBA from IIM Lucknow.
Ahmet Kuyumcu:
Mr. Ahmet Kuyumcu is Chief Scientist and Director of Operations
Research at Zilliant, Inc. He has led the design of statistical
modeling and optimization algorithms for multi-million dollar pricing
and revenue management systems in variety of different
industries. He is a frequent speaker in conferences on the
practice of pricing and revenue management and published several
articles in academic journals. He also teaches a graduate-level
pricing and revenue management class at Operations Research &
Industrial Engineering Department of University of Texas at Austin.
Warren Lieberman:
Dr. Warren H. Lieberman is President of Veritec Solutions.
Founded in 1998, Veritec is a consulting and software development firm
focused on helping companies improve their pricing and revenue
management capabilities. Warren is the Chair of the Revenue
Management and Pricing Section of the Institute for Operations Research
and the Management Sciences (INFORMS) and serves on the editorial board
for the Journal of Revenue and Pricing Management. He is
also serving as Committee Chair for the first INFORMS Revenue
Management and Pricing Section Prize to be awarded for the best
contribution to the science of pricing and revenue management published
in English. He has previously has served as Chairman of the Yield
Management Study Group of the Airline Group of the International
Federation of Operations Research Societies (AGIFORS), and as President
of the Northern California Chapter of INFORMS. Dr. Lieberman
began his career in yield management at American Airlines in 1984. Dr.
Lieberman received the B.S. degree in Mathematics with a specialization
in computer science from the State University of New York at
Binghamton. He holds a Ph.D. in Operations Research from Yale
University.
Costis Maglaras:
Costis Maglaras is an Associate Professor of Decision, Risk and
Operations in the Graduate School of Business at Columbia University.
He joined Columbia in 1998 after receiving a BS from Imperial College,
London, and an MS and PhD from Stanford University, all in EE. His
interests are in stochastic modeling and operations management with
particular focus on: (a) revenue management and its application in the
manufacturing and service sector; (b) analysis and design of service
systems, primarily motivated from information and communication
services; and (c) stochastic network theory. Prior to joining Columbia,
he worked at Canon Research Center America. He was awarded the 1999
Nicholson Prize for the best student paper in Operations Research and
Management Science. He serves as an associate editor for several
leading journals, and since 2002 has been co-organizing the annual
Informs conference on Revenue Management. He teaches the MBA core
course on Managerial Statistics, an elective course on Pricing and
Revenue Optimization, as well as several PhD courses on stochastic
modeling and operations management.
Dinesh Mehta:
Mr. Dinesh Mehta works as a Statistician with Zilliant. His primary
areas of work are building statistical models and running optimization
routines for a variety of client’s in order to provide optimum prices.
His experience includes pricing and revenue management applications for
various verticals like Electronics & Semiconductors, Rental Cars,
Hotels, Multi family housing, Advertising, and Healthcare.
Lerzan Ormeci:
E. Lerzan Ormeci received a B.Sc. and M.Sc. in Industrial Engineering
from the Middle Eastern Technical University and a Ph.D. in Operations
Research from Case Western Reserve University in 1990, 1993 and 1998
respectively. From 1999 to 2001 she worked as a research fellow in
Stochastic Networks Group of EURANDOM (European Unit for Research and
Analysis of Non-Deterministic Operational Models) in the Netherlands.
Since 2001, she has been with Koc University in Istanbul, Turkey as an
assistant professor in the industrial engineering department. Her
research focuses on Markov decision processes and queueing analysis and
control, which provide a broad opportunity for interdisciplinary
studies. She works on applications for call centers and
telecommunications systems, as well as revenue management and pricing
issues in service systems and supply chains.
Ozalp Ozer:
Ozalp Ozer is an Assistant Professor of Operations Management in the
Department of Management Science & Engineering at Stanford
University. He is also an affiliated faculty member of the Stanford
Global Supply Chain Management Forum. His general research interests
are design and control of production and distribution systems,
management and coordination of supply chains, pricing and revenue
management. He was recently awarded the Wickham Skinner Early-Career
Research Accomplishment Award from the Production and Operations
Management Society in 2004, and the Eugene Grant Teaching Award in
Stanford's School of Engineering by vote of students in 2003. He
received his Ph.D. and M.S. degrees in Industrial Engineering and
Operations Research from Columbia University in 2000.
Georgia Perakis:
Georgia Perakis is an Associate Professor at the Sloan School of
Management at MIT. She received an M.S. degree and a PhD in Applied
Mathematics from Brown University. Since the summer of 1998 she joined
the faculty at the Sloan School of Management at MIT, where she is
currently. Georgia Perakis' research interests include applications of
optimization and equilibrium in revenue management, dynamic pricing,
the study of auctions and competitive supply chain management.
Furthermore, her research tries to understand traffic patterns in
dynamic settings. She has received the CAREER / PECASE award, the
Graduate Student Council Teaching Award for excellence in teaching, the
Sloan Career Development Chair. Perakis has been an Associate Editor
for the journal Management Science and for the journal of Naval
Logistics Research, an Area Editor in the area of Supply Chain
Management and Services for the journal Networks and Spatial Economics
and the editor in Chief for the journal of Pricing and Revenue
Management. Perakis was a member of the Informs Council and the chair
of the Pricing and Revenue Management Section of the Informs society.
Robert Phillips:
Robert Phillips is Founder and Chief Technology Officer of Nomis
Solutions, a venture-capital backed company providing pricing and
revenue optimization solutions to the financial services
industry. Prior to founding Nomis, he served as chief technology
officer of Manugistics, a publicly traded price-optimization and supply
chain management company and as founder and chief executive officer of
Talus Solutions, a pricing and revenue management software company.
Dr. Phillips is also a lecturer at the Stanford University School of
Business where he teaches a course on Pricing and Revenue
Optimization. During 2002 he was a visiting professor at Columbia
University School of Business. His research is primarily focused
on new approaches to maximizing revenue in different industries. Dr.
Phillips holds a Ph.D. in Engineering-Economic Systems from Stanford
University and B.A. degrees in Economics and Mathematics from
Washington State University. His book, Pricing and Revenue
Optimization is forthcoming from Stanford University Press.
Rama Ramakrishnan:
Rama Ramakrishnan is the Chief Scientist of ProfitLogic. He is
responsible for developing analytic techniques that have a significant
impact on a retailers' businesses and incorporating them into
ProfitLogic's products and services. Prior to joining ProfitLogic, Rama
was the founder and principal of Profit Sciences, an analytics
consulting firm, where he advised clients on the design of optimization
algorithms to solve complex resource allocation problems. Before that,
Rama was the co-founder and vice president of product development at
Redwood Investment Systems, a software company that built one of the
first web/wireless portfolio management systems for quantitative
investment managers. In addition, Rama was a Portfolio Manager at CIBC
Oppenheimer, developing quantitative investment strategies, and
Engagement Manager at McKinsey & Company, advising Global 200
senior managers on solving strategic and operational problems using
analytical techniques. Rama began his career with the Decision
Technologies group of American Airlines, where he worked on building
model-based solutions for a variety of airline problems. Rama was
recently named one of Chain Store Age’s "Rising Stars: 40 under
40". The award, which celebrates executives who are helping to
reshape the retail industry, was granted to Rama for successfully
applying time-tested risk management techniques used extensively on
Wall Street to help retailers identify and capitalize on opportunity
areas on Main Street. Rama holds a B.S. in Engineering from the Indian
Institute of Technology, Madras and M.S. and Ph.D. degrees in
Operations Research from the Massachusetts Institute of Technology.
Amelia Regan:
Amelia Regan is an Associate Professor of Computer Science and Civil
(Transportation Systems) Engineering at the University of California,
Irvine. She has a courtesy appointment in the Graduate School of
Management. Her research focus is on applications of information
technologies and optimization techniques to freight and fleet
management on behavioral modeling of commercial vehicle operators and
logistics services providers and to general large scale combinatorial
optimization problems. Her recent research has been supported by
the National Science Foundation, the Transportation Research Board, the
University of California Transportation Center, the Caltrans PATH
program and JB Hunt Transportation, Inc. Dr. Regan earned the PhD
and MSE degrees in Transportation Systems Engineering from the
University of Texas at Austin, an MS in Applied Mathematics from the
Johns Hopkins University and a BAS in Systems Engineering from the
University of Pennsylvania. Prior to entering the PhD program she
worked as an Operations Research Analyst for UPS, Roadnet Technologies
and the Association of American Railroads.
Gilles Savard:
Gilles Savard is Head of the Department of mathematics and industrial
engineering at École Polytechnique de Montréal and member
of the board of direction of GERAD (Groupe d’études et de
recherche en analyse des décisions). He received a B.Sc. degree
in Mathematics from the University of Montreal, a M.Sc.A. in Applied
Mathematics and a Ph.D. degree in Electrical Engineering from
École Polytechnique in 1989. He has published more than 50
papers in major refereed scientific journals and has organized several
sessions in international scientific conferences. He is a leading
expert in both the theory and practice of bilevel programming and in
the development of global algorithms for nonconvex optimization. Gilles
Savard has acquired a vast experience in the management of research
programs. He has served as leader on large-scale projects for the
Department of National Defense (Canada) in the field of aircraft
scheduling, produced over 30 technical reports and delivered three
complete Decision Support Systems for government agencies. He spent a
full year at AdOpt Technologies as director of the Pairing Group, which
employs 25 scientists involved in the development and delivery of
OR-based Decision Support Systems for the airline industry. He was one
of the main participants on the EUGENE project which won the award for
the best OR application from the Canadian Operational Research Society.
Sergei Savin:
Sergei Savin is an Associate Professor of Decision, Risk, and
Operations at the Graduate School of Business, Columbia University. He
holds a PhD in Physics from the University of Pennsylvania and a PhD in
Operations and Information Management from the Wharton School. Savin's
research interests include stochastic models of service systems,
revenue management, new product diffusion models, and OR applications
in the healthcare industry.
Nicola Secomandi:
Nicola Secomandi is an assistant professor of operations management and
manufacturing at the Tepper School of Business, Carnegie Mellon
University, Pittsburgh, USA. He has been a senior scientist at PROS
Revenue Management, Houston, Texas, USA, a research associate at
Cornell University, Ithaca, New York, USA, and a manager at El Paso
Merchant Energy, Houston, Texas, USA. His research focuses on commodity
operations management, in particular the interface between finance and
operations management with applications in the energy industry, revenue
and supply chain management, and logistics under uncertainty.
Anshul Sood:
Anshul Sood just completed his PhD at the Operations Research Center at
MIT. His research interests include problems in revenue management and
game theory. Prior to MIT, he graduated from IIT Delhi with a B.Tech.
in Manufacturing Sciences and Engineering. He is joining Lehman
Brothers at the Equity Quantitative Analytics Group.
Kalyan Talluri:
Kalyan Talluri holds a Ph.D in Operations Research from MIT and teaches in the Business department of the Universitat Pompeu Fabra in Barcelona. He has worked on pricing and revenue management at USAirways and has been a visiting professor and taught classes at Kellogg Graduate School of Management at Northwestern University, U.S.A, IESE, Barcelona, and INSEAD, Fontainebleau, France.
His main research is in the pricing and revenue management area. He is the co-author (with G. van Ryzin) of the first reference book on Revenue Management “The Theory and Practice of Revenue Management”.
Aurelie Thiele:
Aurélie Thiele will start as an Assistant Professor of
Industrial and Systems Engineering at Lehigh University in Bethlehem,
PA in the Fall. Her research interests lie in applying robust
optimization techniques to model and analyze randomness in operations
management problems, in particular in revenue management. In 2003, she
was awarded the first prize in the George E. Nicholson student paper
competition at the INFORMS annual meeting. She holds a "diplôme
d'ingénieur" from the Ecole des Mines de Paris in Paris, France
(1999) as well as a M.Sc. (2000) and a PhD (2004) from MIT.
John Tsitsiklis:
John N. Tsitsiklis (Ph.D., 1984, MIT) is a Professor of Electrical
Engineering and Computer Science at MIT, and a co-director of the
Operations Research Center. His research interests are in the fields of
systems, optimization, control, and operations research. He is a
coauthor of four books, "Parallel and Distributed Computation:
Numerical Methods" (1989, with D. Bertsekas), "Neuro-Dynamic
Programming" (1996, with D. Bertsekas), "Introduction to Linear
Optimization" (1997, with D. Bertsimas), and "Introduction to
Probability" (2002, with D. Bertsekas). His awards include the
INFORMS/CSTS prize (1997), and he is a Fellow of the IEEE. He is
currently a member of the editorial board for the Springer-Verlag
"Lecture Notes in Control and Information Sciences" series, and an
associate editor of Mathematics of Operations Research.
Garrett van Ryzin:
Garrett van Ryzin is the Paul M. Montrone Professor of Private
Enterprise at the Columbia University Graduate School of Business. His
research interests include stochastic optimization, pricing and revenue
management and supply chain management. Professor van Ryzin’s research
has been supported by grants from the National Science Foundation and
major corporations, and he has served as a consultant to several
leading companies in the area of pricing and revenue management.
He is currently Editor in Chief of M&SOM, and has served as Area
Editor for Operations Research. He is also an associate editor for
Management Science and Transportation Science. He received the B.S.E.E.
degree, academic honors with distinction, from Columbia University, and
the degrees of S.M. in Electrical Engineering and Computer Science and
Ph.D. in Operations Research from the Massachusetts Institute of
Technology.
Darius Walczak:
Darius Walczak is a Scientist at PROS Revenue Management in Houston,
Texas, where he is taking care of PROS's Optimization
Engine. He holds a Ph. D. degree in Operations & Logistics
from Sauder Business School, University of British Columbia in
Vancouver, B.C. along with Master's degrees in Mathematics from UBC and
Applied Mathematics from Wroclaw University of Technology. His
research focuses on Revenue Management, Pricing Optimization and
Dynamic Programming.
Qiong Wang:
Qiong Wang is a Member of Technical Staff with Industrial Mathematics
and Economics Research Group in the Mathematical Science Center of Bell
Labs. He received from Carnegie-Mellon University his Ph.D in
Engineering and Public Policy and Master of Science in Electrical and
Computer Engineering. His undergraduate degrees are from the School of
Economics and Management and Department of Applied Mathematics,
Tsinghua University. He is currently doing research on network
economics and operations management, including pricing, revenue
management and risk control, in telecommunications industry. He has
published his work in both engineering and management journals.
Xiubin Wang:
Dr. Xiubin Wang is an assistant professor in transportation and
logistics at the University of Wisconsin-Superior. He holds his PhD
degree in transportation logistics from the University of California at
Irvine. Dr. Wang worked in the OR group at American Airlines before. He
also had five years research experience in railway operations.
Laura Wynter:
Dr. Wynter has been a research staff member at IBM Watson Research
Center since January, 2003. Prior to that, she held an positions
jointly at INRIA and the Universite de Versailles, in France. She is
presently working on advancing the use of yield management for IT
resources, at IBM, and has worked as well on network equilibrium and
game-theoretic models of communication and transportation networks.