Richard C. Larson
Institute for Data, Systems, and Society
Massachusetts Institute of Technology
Monday, June 18, 2018, Morning
The Services Industries: Some Insights Provided by Operations Research
Over the past 100+ years, economies of the developed world have moved seismically from agriculture (over 50% of U.S. employment in 1900), to manufacturing and now to services (typically 80% of current jobs). Operations Research (O.R.), often aided by IT and data analytics, has played and continues to play a vital role in policy and decision making in services. Presenting recent examples, we range broadly from (1) urban O.R., to (2) pandemic influenza and vaccine allocation modeling, to (3) modeling the process of science/engineering PhD production and academic employment; to (4) queue performance inference made possible by recent results in data analytics. Two illustrative surprises: (a) We identify and interpret the high “birth rate” of university professors, the numbers of PhD students produced over a faculty lifetime; (b) We present an improved vaccine allocation policy that would have reduced the number of USA influenza cases by 5,000,000 in 2009, the year of H1N1 flu pandemic. We conclude with a discussion of needs to erase traditional academic silos when addressing the services industries, as most real problems are difficult and multi-faceted, requiring inter-disciplinary if not trans-disciplinary approaches, not unlike the multi-person teams put together in the 1940’s by our O.R. founders.
Dr. Larson is Mitsui Professor in MIT’s Institute for Data, Systems, and Society. He focuses on operations research as applied to services industries. He is author, co-author or editor of six books and over 150 scientific articles, in urban service systems, queueing, logistics, disaster management, disease dynamics, education and workforce planning. Dr. Larson’s research on queues has resulted in new computational techniques, and with his alter ego “Dr. Queue,” has been covered extensively in national/international media. He is a recipient of the INFORMS President’s Award, Lanchester Prize and Kimball Medal. He is a member of the National Academy of Engineering.
UCLA University Distinguished Professor
Edward Carter Chair in Business Administration, UCLA Anderson School
Sunday, June 17, 2018, Morning
Making Supply Chain Transparent for a Better World: Information and Analysis
Companies are gaining more supply chain visibility to reduce their supply chain risks, but few are disclosing what they know with the public. Should a firm disclose its supply chain information to the public? What are the risks and opportunities? I plan to present some recent research and case-based studies to illustrate how supply chain transparency can improve our world: planet, people and profit.
Dr. Tang is a University Distinguished Professor and the holder of the Edward W. Carter Chair in Business Administration at the UCLA Anderson School of Management. He served as Dean at the NUS Business School, and as Senior Associate Dean at the UCLA Anderson School.
Known as a world renowned thought leader in global supply chain management who has published over 130 research articles and 6 books, Chris consulted with over 10 international companies including HP and IBM, taught courses at various universities including Stanford and UC Berkeley; and delivered over 200 keynote speeches and seminars.
Dr. Tang is a fellow of Institute of Operations and Management Sciences (INFORMS), Production and Operations Management Society (POMS), and Manufacturing and Service Operations Management Society (MSOM). Currently, he serves as Editor-in-Chief for a premier journal Manufacturing & Service Operations Management (M&SOM).
University of Chicago, Booth School of Business
Sunday Afternoon, June 17
John R. Birge is the Jerry W. and Carol Lee Levin Distinguished Service Professor of Operations Management at the University of Chicago Booth School of Business. Previously, he was Dean of the McCormick School of Engineering and Applied Science and Professor of Industrial Engineering and Management Sciences at Northwestern University. He also served as Professor and Chair of Industrial and Operations Engineering at the University of Michigan, where he also established the Financial Engineering Program. He is former Editor-in-Chief of Mathematical Programming, Series B and former President of INFORMS. His honors and awards include the IIE Medallion Award, the INFORMS Fellows Award, the MSOM Society Distinguished Fellow Award, the Harold W. Kuhn Prize, the George E. Kimball Medal, the William Pierskalla Award, and election to the US National Academy of Engineering. He received M.S. and Ph.D. degrees from Stanford University in Operations Research, and an A.B. in Mathematics from Princeton University.
David D. Yao
Piyasombatkul Family Professor of Industrial Engineering and Operations Research
Sunday Afternoon, June 17
Integrated Risk-Hedging and Production Planning
Traditional production planning is primarily a quantity or capacity decision, which must be made at the beginning of a planning horizon before production starts. Adding a real-time control, a risk-hedging strategy, throughout the horizon can better mitigate the risk involved in demand volatility. We demonstrate how this can be done in terms of jointly optimizing both the capacity and the hedging decisions. The problem formulation addresses a shortfall risk measure and subjects the hedging strategy to partial information and a budget constraint. The results lead to a complete characterization of the improvement in risk-return tradeoff achieved by the hedging strategy. (Joint work with Liao Wang.)
David D. Yao is the Piyasombatkul Family Professor of Industrial Engineering and Operations Research at Columbia University, where he co-chairs the Financial and Business Analytics Center at Columbia Data Science Institute. His research and teaching interests are in applied probability and stochastic systems, focusing on resource control and risk management issues. He is an IEEE Fellow, an INFORMS Fellow, and a member of the National Academy of Engineering. He currently serves on the Board on Mathematical Sciences and Analytics of the National Academies of Science, Engineering and Medicine.
VP, Advanced Analytics R&D
SAS Institute Inc.
Monday Afternoon, June 18
Machine Learning, Artificial Intelligence and Optimization: Opportunities for Inter-Disciplinary Innovation
Machine learning tools and AI platforms have become prolific in many industries. Applications range from health care to financial applications to manufacturing industries. In the world of big data and ML / AI tools, there are numerous opportunities for application of optimization techniques. Large scale implementation of machine learning tools in artificial intelligence platforms require automation at several levels – increasing productivity along the entire analytics lifecycle as well as automated model selection to improve predictive models. In many of these problems, optimization techniques play an important role in finding solutions as well as improving performance.
This presentation will provide several examples that describe some of these innovations in various industries as well as discuss trends and upcoming challenges for future research.
Dr. Radhika Kulkarni is Vice President of Advanced Analytics R&D at SAS Institute Inc. She oversees software development in many analytical areas including Statistics, Operations Research, Econometrics, Forecasting and Data Mining. Kulkarni is an active member in the Institute for Operations Research and the Management Sciences (INFORMS) and serves on the Advisory Council of the School of ORIE at Cornell University, the Advisory Board of the Institute for Advanced Analytics at North Carolina State University, the Master of Science in Analytics Advisory Board at Georgia Tech and the Marketing Analytics and Data Mining Board at Oklahoma State University. Dr. Kulkarni is a recipient of the Women in Operations Research and the Management Sciences (WORMS) Award and was recognized as an INFORMS Fellow in 2014.
Radhika Kulkarni has a Master’s in Mathematics from the Indian Institute of Technology, New Delhi and a Master’s (1979) and Ph.D. (1981) in Operations Research from Cornell University.
Shmuel S. Oren
Earl J. Isaac Chair Professor, Department of Industrial Engineering and Operations Research
Monday Afternoon, June 18
Smart Markets for a Smart Electricity Grid
Socio economic forces, development in generation technologies and environmental considerations have led to restructuring of the electric power systems in part of the USA and in many systems worldwide, transforming them from vertically integrated regulated monopolies to competitive market based systems. From a supply chain perspective competitive electricity markets represent, perhaps, the most challenging supply chain. The commodity is non-storable; demand is uncertain and highly correlated with weather, all the demand must be satisfied instantaneously with a high level of reliability (one day in ten years criteria for involuntary load curtailment). In addition service is provided over a network that is prone to congestion, flows over transmission lines cannot be directly controlled as in a transportation system (flows follow Kirchhoff’s laws) and the market is encumbered by numerous externalities and market power. In spite of such obstacles there has been fascinating developments in the design and operations of competitive electricity markets over the last fifteen years through the use of state of the art optimization tools and economic principles. This talk will describe some of the key challenges in designing and operating competitive electricity markets. I will review the basic elements and alternative approaches adopted in different systems and discuss what we have learned so far in this area. I will also discuss new challenges and opportunities due to massive integration of renewable resources, proliferation of smart grid technologies and electrification of the transportation sector.
Dr. Shmuel S. Oren is the Earl J. Isaac Chair Professor in the Department of Industrial Engineering and Operations Research at UC Berkeley He is a co-founder and the Berkeley site director, of PSerc, a multi-university Power Systems Engineering Research Center. He has also been a member of the California ISO Market Surveillance Committee and a consultant to many private and public entities in the U.S. and abroad. His Research has focused on nonlinear optimization, mechanism design, energy systems and on the design and analysis of electricity markets. He holds a B.S and M.S in Mechanical Engineering from the Technion, Israel and an M.S and Ph.D in Engineering Economic Systems from Stanford University. He is a Member of the US NationalAcademy of Engineering, is a Life Fellow of the IEEE and Fellow of INFORMS.
Lam Khin Yong
Vice President (Research), NTU-Nanyang Technological University, Singapore
Monday Afternoon, June 18
The Entrepreneurial University: Integrating Knowledge and Innovation for Impact
Over the past decade, the intensifying societal demand for advanced knowledge and innovation has led to the unprecedented growth of new networks between industry, academics and public agencies. This trend continues unabated as the pursuit of economic competitiveness and the need to alleviate society’s emerging challenges grows. As such, how can the university further mobilise key resources, networks and support to optimize the growth of impact pathways and corridors of innovation? What are the external determinants that actively shape the nature and structure of these collaborations and innovation eco-systems?
This presentation seeks to undertake an assessment of the organisational patterns and the conditions that play an important role in galvanizing effective and rapid knowledge flows to stimulate economically and societally useful innovations. Drawing from examples at Nanyang Technological University, the presentation shall provide models of successful industry-academia-public agency interconnections that have served to create skills, knowledge and innovations of industrial and societal relevance.
Professor Lam Khin Yong was previously NTU’s Acting Provost (March – December 2017), Chief of Staff (2011 – 2017), Acting CEO of NTU Innovation (2012 – 2013), Associate Provost for Graduate Education & Special Projects (2008 – 2011), and Dean/Chair of the School of Mechanical & Aerospace Engineering (2006 – 2008).
In his previous role as Chief of Staff, he oversaw the operations of the President’s Office. As Associate Provost, he played a strategic role in growing NTU’s graduate and research programmes and spearheaded joint PhD programmes with top universities globally, including the Technical University of Munich, the University of Cambridge and The Hebrew University of Jerusalem. He has also contributed to NTU’s world-class positioning within the National Research Foundation’s Campus for Research Excellence and Technological Enterprise (CREATE) initiative since 2007.
In 2017, he was awarded the French National Order of the Legion of Honour (Chevalier) for advancing research between Singapore and France. He has also received the Honorary Professorship Diploma award, the highest honour and recognition from Lomonosov Moscow State University, as well as an Honorary Chair Professorship awarded by Asia University, Taiwan, in recognition of his research achievements and the links that he had established with the industry. He was also the first academic to lead a research team to win the national Defence Technology Prize.
San-Cheng (Simon) Chang
Taiwan Mobile Foundation
Tuesday Morning, June 19
From Open Data to Digital Economy
In late 2012, Taiwan initiated its open data program. In 2015, Taiwan was ranked No.1 globally in the open data initiative by the UK Open Knowledge Foundation (okfn) and carries this world-class honor till today. In the meantime, the Taiwan government started to employ big data technology to study and plan important policies. This effort leads most of the big data projects in the private sector and was recognized as a major milestone in government IT applications.
AI, after dormant for some years, was revived due to the big data technology and processing capabilities of enhanced IT hardware. As the stronghold of world IT hardware supplier for decades, the Taiwan industry, on the other, hand lacks the foundation of good IT application development and is facing tremendous challenge in the upcoming AI era. But building on its successful foundation of government open data and big data applications, Taiwan has a chance to embrace and prepare itself for innovative AI applications in the coming years. Taiwan needs to understand the strategies of major global enterprises in AI development and plan accordingly its policies and actions. The government also needs to work out the plan to interact with and leverage the strength of these enterprises and prepare necessary infrastructures. With intelligent policies and solid implementation, Taiwan would be able to play an important role in the digital economy age.
Dr. San-Cheng (Simon) Chang was the former Deputy Premier and then the Premier of the Rep. of China (Taiwan) government from Dec. 2014 to May 2016. Prior to the Premier positions, he was first the Minister w./o Portfolio and then the Minister of Science & Technology. On these positions Chang invested significant effort in promoting the IT applications and established the foundation for the government to move on to the era of big data applications.
Before joining the government in Feb. 2012, Chang was the regional Director of hardware operations of Asia, Google, and the Vice president of e-services of Acer Inc. since 2000. He was a professor of Civil Engineering at National Taiwan University, and was also the founding Director of Taiwan’s National Center for High-performance computing. His interest focuses on the application of advanced IT technology to a number diversified disciplines.
Among the many job titles now he holds, Chang is the Honorary Dean of Big Data Management at the private SooChow University, and the Chairman of Taiwan Mobile Foundation.
Edward H. Kaplan
William N. and Marie A. Beach Professor of Operations Research, Chemical & Environmental Engineering & Public Health
Tuesday Morning, June 19
Operations Research and Public Health
According to the U.S. National Academy of Medicine, the mission of public health is to “…fulfill society’s interest in assuring conditions in which people can be healthy.” Major public health activities include disease surveillance and environmental risk assessment to identify population health problems and priorities; the design and delivery of health promotion and disease prevention services; and the evaluation of public health programs. Both the epidemiological science underlying public health interventions and the day-to-day operations of public health services present exciting opportunities for the application of operations research and management. This talk will illustrate applications of operations research to public health problems, with results to the benefit of us all.
Professor Kaplan’s research has been reported on the front pages of the New York Times and the Jerusalem Post, editorialized in the Wall Street Journal, recognized by the New York Times Magazine’s Year in Ideas, and discussed between the covers of Time, Newsweek, U.S. News and World Report, Consumer Reports and the New Yorker, and in person on NBC’s Today Show, the Cronkite Report, and National Public Radio. The author of more than 100 research articles, Professor Kaplan received both the Lanchester Prize and the Edelman Award, the two top honors in the operations research field. An elected member of both the National Academy of Engineering and the Institute of Medicine of the U.S. National Academies, he has also twice received the prestigious Lady Davis Visiting Professorship at theHebrew University of Jerusalem, where he has investigated AIDS policy issues facing the State of Israel. Kaplan’s current research focuses on the application of operations research to problems in counterterrorism and homeland security.
Department Head & Chair Professor of Industrial Engineering and Decision Analytics Crown Worldwide Professor of Engineering, HKST
Tuesday Afternoon, June 19
Asymptotically Optimal Policies for Multi-Item Joint Inventory and Dynamic Pricing Control with Stockout-based Substitution
We propose asymptotically optimal policies for a joint inventory and price control problem where the seller replenishes substitute products only once and dynamically controls the prices during the selling season to maximize the total expected profit. Considering complexity of the problem especially when the problem size is large and there exists dynamic stockout-based substitution by customers, we propose an efficient nonlinear program to determine the prices and a linear complementarity problem to decide on inventory levels reflecting consumer-driven substitution for given prices. We also show that a simple heuristic to dynamically update prices can further improve expected profits. Authors: Guillermo Gallego and Sang Jo Kim
Guillermo Gallego is the Crown Worldwide Professor at HKUST and the Department Head of Industrial Engineering and Decision Analytics. He is a MSOM Fellow, an INFORMS Fellow, and the recipient of the Revenue Management Historical Prize, the RM Practice Prize, the INFORMS Impact Prize, and the Management Science Best Paper Award.
Prof Gallego’s research interests include Choice Modeling, Dynamic Pricing and Revenue Optimization. He has consulted for Disney World, Hewlett Packard, IBM, Lucent Technologies, Nomis Solutions, and Sabre Airline Solutions.
Prof Gallego received his PhD and MS in Operations Research from Cornell University. He spent his 1996-97 sabbatical at Stanford University.
Vice President, IBM Research – India & Singapore, CTO IBM India
Tuesday Afternoon, June 19
Transforming Industries and Professions through AI, IoT and Blockchain
The emergence of a triumvirate of disruptive technologies – AI, IoT, and Blockchain — is poised to transform every industry and profession. As the fundamental innovations underpinning these technologies progress at a rapid pace and we see early exemplars of their use, it is clear that we are headed to a world of deeper insights, re-imagined engagement, extreme personalization, and new cross-industry business ecosystems. Blockchain applied to supply chain networks redefines engagement between business partners enabling a more transparent and open business environment with reduced friction, reduced fraud, and entirely new business models. AI applied to a combination of terabytes of remote sensed data coupled with intelligent smart on-field IoT sensors is transforming the world of of agribusiness, enabling very fine grained crop monitoring, targeted intervention, reduced farming costs, and highly actionable insights at a resolution and cost point that was unimaginable less than a decade ago. Using these and numerous real examples drawn from IBM’s work with clients in financial services, healthcare, logistics, and retail, this talk will illustrate the transformative power of these three technologies and showcase how this is driving new business models and disrupting entire cross-industry value chains.
Sriram Raghavan is Vice President, IBM Research and CTO, IBM India. In this role is he is responsible for establishing and executing the technical agenda of the IBM Research Lab in India and the IBM Research Center in Singapore. In addition, as CTO, Sriram is responsible for representing and communicating IBM’s overall technical vision & strategy with key stakeholders across the India/South Asia ecosystem – from developers and startups to key clients, analysts, media, and industry experts.
Over the past two years, Sriram has established and grown IBM Research-India into a world class center of competency for blockchain, driving both deep technology innovations and first of a kind blockchain-based solutions. Sriram serves as the worldwide blockchain leader for IBM Research, working closely with IBM’s industry platforms and global services businesses to take innovative blockchain solutions to clients across the globe. Prior to his current role, Sriram led the Information & Analytics Department at IBM Research-India, establishing new research directions at the intersection of large scale data management, text analytics, and distributed systems. Sriram has been with IBM since 2004 when he first joined the Almaden Research Center in San Jose, California, as a Research Staff Member. Sriram is an alumnus of the Indian Institute of Technology, Chennai and Stanford University.
Ford Motor Company
Tuesday Afternoon, June 19
Smart Production of Smart Vehicles
Today the automotive industry is undergoing the most profound change since the invention of the moving assembly line. Connected, electric, and autonomous vehicles, new smart mobility business models, Internet of Things, Additive Manufacturing and Big Data are disruptive innovations that will create the opportunity and the need for industry transformation. In a series of recent announcements, Ford Motor Company outlined its strategy to become the world’s most trusted mobility company, building smart vehicles for a smart world and redesigning the company’s factories of the future. Data, analytics, AI and machine learning are at the forefront of this transformation. Specifically, the emerging application of connected vehicle analytics enables new vehicle features and services, such as mobility personalization, prognostics and ambient intelligence. Analytics are also fundamental in accelerating introduction of factory-of-the-future technologies and enabling a more efficient supply chain. This presentation will review examples of innovative applications that demonstrate the critical role of analytics in the automotive industry transformation.
Oleg Gusikhin is a Technical Leader in Analytics Innovations at Ford Global Data, Insight and Analytics Organization. He received his Ph.D. from the St. Petersburg Institute of Informatics and Automation of the Russian Academy of Sciences, MS in Electrical Engineering from St. Petersburg State Technical University, and an MBA from the Ross Business School at the University of Michigan. For over 20 years, he has been working at Ford Motor Company in different functional areas. During his tenure at Ford, Dr. Gusikhin has been involved in the design and implementation of advanced information technology and intelligent control for manufacturing and vehicle systems. Dr. Gusikhin is a recipient of two Henry Ford Technology Awards, 2009 Institute of Industrial Engineers Transactions Best Application Paper Prize in Scheduling and Logistics, and 2014 INFORMS Daniel H. Wagner Prize. He is an Industry Vice-Chair of IFAC Technical Committee “Manufacturing Modeling for Management and Control,” and a Lecturer in the Industrial and Operations Engineering department at the University of Michigan
Sunday Afternoon, June 17
Panel – Transforming Education through Analytics & Learning Science and Engineering
Advances in information technology, learning science and data analytics are transforming education. Technology enhanced learning, flipped classroom, and open learning initiatives are changing the ways in which students learn and demonstrate learning outcomes. In this panel, academic leaders will discuss how their universities are applying analytics and detailed data about learning and learning outcomes to create the 21st Century educational experience for their students.
Panel Session Chair: Ramayya Krishnan
Ramayya Krishnan is the W. W. Cooper and Ruth F. Cooper Professor of Management Science and Information Systems at the H. John Heinz III College and the Department of Engineering and Public Policy at Carnegie Mellon University. A faculty member at CMU since 1988, Krishnan was appointed Dean when the Heinz College was created in 2008. He was reappointed upon the completion of his first term as Dean in 2014.
Krishnan’s research interests focus on consumer and social behavior in digitally instrumented environments. His work has addressed technical, policy and business problems that arise in these contexts and he has published extensively on these topics. He has served as Department Editor for Information Systems at Management Science, the premier journal of the Operations Research and Management Science Community. Krishnan is an INFORMS Fellow, a member of the Global Agenda Council on Data Driven Development of the World Economic Forum, and a former President of the INFORMS Information Systems Society and the INFORMS Computing Society. He is the recipient of the prestigious Y. Nayuduamma award in 2015 for his contributions to telecommunications management and business technology.
Panelist: Way Kuo
Way Kuo is President at City University of Hong Kong. He is a Member of U.S. National Academy of Engineering and Academia Sinica in Taiwan, a Foreign Member of Chinese Academy of Engineering and Russian Academy of Engineering.
Before joining CityU, he was on the Senior Management team of Oak Ridge National Lab and served as Dean of Engineering at the University of Tennessee. He specialises in design for reliability of electronics systems and energy. His recent book Soulware within Higher Education, published in 2016 by three publishing houses in Hong Kong, Taipei and Beijing simultaneously, will be published by Scrivener-Wiley this year.
Panelist: Ling San
Professor Ling San is Provost and Vice President (Academic) at NTU Singapore. His research interests are in applications of algebra and number theory to combinatorial designs, coding theory, cryptography and sequences. He has published more than 180 journal and conference papers and two textbooks, and edited several conference proceedings. His research has clinched more than S$20 million in funding.
Active in serving the professional community, he is the Second Vice President of the Singapore National Academy of Science, and has been a Past President of the Southeast Asian Mathematical Society and the Singapore Mathematical Society, and a former member of the Board of Directors of the International Association for Cryptologic Research. He is also on the Management Boards of the Institute for Mathematical Sciences at NUS and Temasek Laboratories at NTU, and has served as a reviewer for research funding agencies in Singapore and abroad.
Panelist: Jeffrey Tsai
Jeffrey J.P. Tsai is the President of Asia University, Taiwan. He was a Professor of Computer Science and the Director of the Distributed Real-Time Intelligent Systems Laboratory at the University of Illinois, Chicago, an Adjunct Professor at Tulane University, a Visiting Professor at Stanford University, a Senior Research Fellow of IC2 at the University of Texas at Austin, and a Visiting Scholar at the University of California at Berkeley.
He is currently the CoEditor-in-Chief of the International Journal on Artificial Intelligence Tools and Book Series on Health Informatics. Tsai has served on the IEEE Distinguished Speaker program, DARPA ISAT working group, and on the review panels for NSF and NIH. He received an Engineering Foundation Research Award from the IEEE and the Engineering Foundation Society, a University Scholar Award from the University of Illinois Foundation, an IEEE Technical Achievement Award and an IEEE Meritorious Service Award from the IEEE Computer Society. He is a Fellow of the AAAS, the IEEE , and the SDPS.
Monday Afternoon, June 19
Panel: Industry 4.0 Opportunities for Integrative Decisions in Smart Manufacturing
Industry 4.0 with digitalization and Intent of Things (IoT) provides tremendous opportunities for achieving smart manufacturing through real time data sharing across different levels of enterprise operations. Meanwhile, it also brings about new research challenges on how to effectively utilize those data to make integrative decisions so that a smart manufacturing system can adaptively respond in real time to meet changing demands and conditions in the factory, in the supply network, and in customer needs. This panel session is especially organized to promote broad communication and interdisciplinary research for making integrative decisions across manufacturing process design, quality control, production system operations and logistics/supply chain management. The panelist is consisted of five invited speakers from North American, Europe, and Asia, whose research expertise crossly cover these areas. Each panelist will firstly give a 10mins talk to share his/her expert point of view on the research opportunities, challenges and strategies to achieve integrated decision-making for smart manufacturing under Industry 4.0. The remaining time of the session will be Q&A interactions between the panelist and audience.
Panel Session Chair: Judy Jin
Judy Jin is Professor of the Industrial and Operations Engineering Department, the Director of Manufacturing Program in the Integrative Systems and Design Division, the Director of Data Fusion Lab, at the University of Michigan. Her research area is in data fusion and quality engineering. She received numerous awards including the NSF CAREER and Presidential Awards (PECASE), the Forging Achievement Award, 12 Best Paper Awards. She is serving as Departmental Editor for IISE Transactions, was the Vice President of INFORMS-International. She is a Fellow of Institute of Industrial and Systems Engineers and a Fellow of the American Society of Mechanical Engineers.
Panelist: Kai Hoberg
Kai Hoberg is Professor of Supply Chain & Operations Strategy at Kühne Logistics University in Hamburg. Before joining KLU, he was Assistant Professor of Supply Chain Management at the University of Cologne. After his studies, he worked as a strategy consultant and project manager for Booz & Company conducting supply chain and operations management projects. His research topics include supply chain analytics, role of technology in supply chains, inventory modelling, and the link between operations and finance. His research findings have been published in academic journals like JOM, POM or EJOR.
Panelist: Dongni Li
Dongni Li is an associate professor in the School of Computer Science at Beijing Institute of Technology. She received her degrees of B.S., M.S., and Ph.D. in Computer Science from Northeastern University, Shenyang China. Her research interests include intelligent optimization approaches and their applications in manufacturing industry. She has authored more than 20 papers in journals including IEEE T-SMC, IEEE T-ASE, IJPR, C&OR, and several proceedings. She is the secretary general of two professional committees of AI and VR for the Alliance of Emerging Engineering Education of China. She served as a panel member for Manufacturing Informatization of Inner-Mongolia.
Panelist: Leyuan Shi
Leyuan Shi is Professor in the Department of Industrial and Systems Engineering at University of Wisconsin-Madison. She received her Ph.D. in Applied Mathematics from Harvard University in 1992. Her research interests include simulation modeling and large-scale optimization with applications to operational planning and scheduling and digital supply chain management. She has developed a novel optimization framework, the Nested Partitions Method that has been applied to many large-scale and complex systems optimization problems. Shi has published 3 books and more than 130 papers. She is currently serving as Editor for IEEE Trans on Automation Science and Engineering. She is an IEEE Fellow.
Panelist: Fugee Tsung
Fugee Tsung is Professor and former Head of the Department of Industrial Engineering and Decision Analytics, Director of the Quality and Data Analytics Lab, at the Hong Kong University of Science & Technology, and Editor-in-Chief of the Journal of Quality Technology. He is Academician of the International Academy for Quality, Fellow of the American Society for Quality, American Statistical Association, Institute of Industrial and Systems Engineers, and Hong Kong Institution of Engineers. He received his PhD and MSc from University of Michigan, and BSc from National Taiwan University. His research interests include industrial big data and quality analytics.