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Dick Bulterman

Vrije Universiteit Amsterdam & CWI, The Netherland

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Dick Bulterman is CWI Fellow at Centrum Wiskunde & Informatica, where he was senior researcher and head of the group Distributed and Interactive Systems from 1988 to 2014. He is also emeritus professor of computer science at the Vrije Universiteit in Amsterdam, where was Chair of the Department of Computer Science from 2016-2018. From 2013-2016 he was President and CEO of FX Palo Alto Laboratories in California (USA). Between 1997 and 2002, Bulterman was the Managing Director of Oratrix Development bv, a CWI spin-off technology company. Before joining CWI, he was a professor of computer engineering at Brown University in Providence, RI.

 

Bulterman has been active in the multimedia community since 1993 and has served in various roles on ACM MM organizing committees.  He is the chair of the ACM Web Conference steering committee and is a past chair of ACM SigWEB. He was a founding editorial board member of ACM TOMCCAP and ACM/Springer Multimedia Tools and Applications, and is associate editor of Springer Multimedia Systems. He is past chair of W3C's Synchronized Multimedia working group and was involved in the development of a host of W3C standards. He is the recipient of the ACM SIGMM Lifetime Technical Achievement Award (2014).

 

Bulterman received a Ph.D. in computer science from Brown University in 1981.

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Tinglong Dai

Johns Hopkins University, USA

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Tinglong Dai is Bernard T. Ferrari Endowed Professor of Operations Management and Business Analytics at the Johns Hopkins Carey Business School. He is an expert in human-A.I. interaction, healthcare analytics, and global supply chains. His current work focuses on integrating A.I. into clinical workflows and improving productivity, access, and equity in healthcare delivery.

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A faculty member at Johns Hopkins since 2013, Dr. Dai is a dynamic and acclaimed MBA teacher. He has pioneered the development and teaching of a first-of-its-kind MBA course, Data Science: Artificial Intelligence, which has been required for all full-time MBA students since 2021. Poets & Quants named him one of the World's Top 40-Under-40 Business School Professors.

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Dr. Dai is a sought-after expert in the media. He has been quoted hundreds of times in notable media outlets, including the Associated Press, Bloomberg, CBC, CNN, Fortune, New York Times, NPR, USA Today, Wall Street Journal, and Washington Post. He has appeared on national and international television, including CNBC, PBS NewsHour, and Sky News. He has also written extensively for publications ranging from Barron's to Bloomberg Law, The Conversation, Fast Company, The Hill, MarketWatch, and USA Today to Wall Street Journal on topics ranging from A.I. to environmental, social, and governance (ESG) issues to global supply chains.

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Dr. Dai has been a keynote and featured speaker at numerous A.I. and supply chain events. He was the commencement speaker at Carnegie Mellon University's Tepper School of Business Doctoral Commencement and Hooding Ceremony in 2023 and at Johns Hopkins University's Full-Time MBA Graduation Ceremony in 2021. He has also served on and spoken at several initiatives related to A.I. and supply chain resilience at the National Academies of Sciences, Engineering, and Medicine.

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Dr. Dai was recently elected as Vice President of Marketing, Communication, and Outreach for INFORMS, the world’s largest association for the decision and data sciences with more than 12,500 members. He serves as an Associate Editor of Management Science, Manufacturing & Service Operations Management, Health Care Management Science, and Naval Research Logistics, and a Senior Editor of Production and Operations Management. He co-edited the Handbook of Healthcare Analytics, published by John Wiley & Sons in 2018.

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Dr. Dai has published extensively in top management journals, including Management Science, Manufacturing & Service Operations Management, Marketing Science, and Operations Research. His work has been recognized by numerous awards, including INFORMS Public Sector Operations Research Best Paper Award, POMS Best Healthcare Paper Award, and Wickham Skinner Early Career Award (runner-up). He is a three-time recipient of the Johns Hopkins Discovery Award.

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Dr. Dai received a bachelor's degree in automation from Tongji University, a master's degree in industrial engineering and engineering management from the Hong Kong University of Science & Technology, and a Ph.D. in operations management and robotics jointly offered by the Tepper School of Business and the School of Computer Sciences at Carnegie Mellon University.
 

Jason H. Moore

Cedars-Sinai Medical Center, USA

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Dr. Jason Moore is Chair of the Department of Computational Biomedicine at Cedars-Sinai Medical Center in Los Angeles, CA. He came to Cedars-Sinai in 2021 from the University of Pennsylvania where he was the Edward Rose Professor of Informatics and Director of the Penn Institute for Biomedical Informatics. He also served as Senior Associate Dean for Informatics and Chief of the Division of Informatics in the Department of Biostatistics, Epidemiology, and Informatics. He came to Penn in 2015 from Dartmouth where he was Director of the Institute for Quantitative Biomedical Sciences. While at Dartmouth he founded their bioinformatics core facility and built the university’s first campus-wide high-performance computer system. Prior to Dartmouth he served as Director of the Advanced Computing Center for Research and Education at Vanderbilt University where he launched their first high-performance computer. He has a Ph.D. in Human Genetics and an M.S. in Applied Statistics from the University of Michigan. He leads an active NIH-funded research program focused on the development of artificial intelligence and machine learning algorithms for the analysis of complex biomedical data. One application area is understanding how demographic, genetic, physiologic, and environmental factors interact to influence risk of common diseases such as cancer, cardiovascular disease, and neuropsychiatric diseases. He is the author of the widely used multifactor dimensionality reduction (MDR) method and software that is the leading resource for discovering genetic interactions. His work has been communicated in more than 600 peer-reviewed paper, book chapters, and editorials. In addition to an active research program, Dr. Moore is committed to undergraduate and graduate education. He has trained more than 100 students and postdocs and has founded several interdisciplinary training programs. He is an elected fellow of the American Association for the Advancement of Science (AAAS), an elected fellow of the American College of Medical Informatics (ACMI), an elected fellow of the International Academy for Health Sciences Informatics (IAHSCI), an elected fellow of the American Statistical Association (ASA), an elected member of the International Statistics Institute (ISI), and was selected as a Kavli fellow of the National Academy of Sciences. He is currently Editor-in-Chief of the open-access journal BioData Mining.

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Ramesh Srinivasan

University of California, Los Angeles, USA

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Ramesh Srinivasan speaks about the intersection of technology, innovation, politics, business, and society.  He is a leading voice pointing the way toward a digital world that supports democracy, economic security and business interests. He blends his skills as a leading academic, author, engineer, social scientist, storyteller, policy adviser, and thought leader to shine a light on how technology and innovation, from all quarters and countries, will make a balanced world possible, for all.   His mission is to help repair the disconnect between designers and users, producers and consumers, and tech elites and the rest of us: toward a more democratic internet.

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He has been a faculty member at UCLA since 2005 in the Information Studies and Design|Media Arts departments. He is the founder of the UC-wide Digital Cultures Lab which offers a unique, people-focused analysis of new technologies working across every continent and dozens of countries across the world. This lab examines the means by which new media technologies impact businesses, economics, cultures, politics, labor, and the environment through collaborations with global partners. He explores the future of algorithms, AI, automation, and cryptocurrencies with these themes in mind. He holds degrees from Stanford (B.Sc in Engineering), the MIT Media Laboratory (MSc), and Harvard (PhD)

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Ramesh is the author of three books: “Whose Global Village? Rethinking How Technology Impacts Our World” (2019 – NYU Press) and “After the Internet” with Adam Fish. His most recent book outlines how the future of the internet still hasn’t been written. In ‘Beyond the Valley’, Ramesh argues that Tech can be fairer and more democratic, while still serving business interests. If we look beyond the confines of a small slice of Northwest USA, we’ll find people from all over the world creating a new narrative by using ingenious ways to leverage limited resources to join the digital space and how they are reinventing technology to suit their situations.  In the research for this book, Ramesh explored technology’s impact across nearly 70 countries – economically, politically, socially. BEYOND THE VALLEY was named a top ten 2019 book in Tech by Forbes.

 

Ramesh appears frequently on NPR, The Young Turks, MSNBC, BBC, CNN and other major media networks. His articles and interviews have been published by the Washington Post, Wired, The Economist, Quartz, Financial Times, CNN, Forbes, New York Times, Los Angeles Times, among others.

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In February 2021, Ramesh was cited in an opinion piece by Thomas Friedman in the New York Times.  Mr. Friedman reiterated Ramesh’s suggestion that America urgently needs to enact a digital bill of rights that “sets the right balance between free speech and algorithms that make hate speech and blatantly false information from unreputable sources go viral.”

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