Divesh Srivastava
speaker
Dr. Divesh Srivastava is the Head of Database Research at AT&T. He earned his B.Tech. degree in Computer Science and Engineering from IIT Bombay in 1987 and his Ph.D. in Computer Science from the University of Wisconsin, Madison, USA, in 1993. Dr. Srivastava is the head of Database Research at AT&T, where he has 25+ years of experience conducting and leading industrial research on data management that has been deployed at scale. His professional contributions include serving as Vice-President (2018-21) and as President (2022-current) of the Very Large Data Bases (VLDB) Endowment; as a member of the Computing Research Association (CRA) Board of Directors (2019-25), and co-chair of the ACM Publications Board (2021-25). Dr. Srivastava has conducted research on a wide variety of topics in data management for three decades, focusing on developing efficient strategies to process query primitives, providing the foundations of effective data integration, data quality, data streams, semi-structured data, views, privacy, and so on. His work is distinguished by an insightful abstraction of the query needs of data-centric applications into primitives, elegant strategies to process these primitives, and their utility in deployed systems. Dr. Srivastava is a recipient of the IEEE Technical Committee on Data Engineering (TCDE) Impact Award, 2021; and the ACM SIGMOD Contributions Award 2021. He is a fellow of the Association for Computing Machinery (ACM) 2011 and AT&T, 2022.
Dario Rossi
speaker
I am a Distingushed Engineer and Senior Expert at Huawei. I am currently serving as the Vice President (Nov 2025-onward) of the Huawei Paris Research Center, in addition to my appointments as Director of the DataCom Department (Jul 2019-onward).
As Director of the AI4NET Lab (Jul 2020-onward) for Huawei Network Product & Solutions, I lead a team of researchers passionate about using machine learning and artificial intelligence to solve hard networking & machine learning problems. Feel free to look around for the team publications, some recent personal talks , as well as for the code and datasets we make available to the community.
Before joining Huawei, I occupied several academic positions around the world, and was lately a Chair Professor position at the INFRES department of Telecom ParisTech and a Professor at the DIX department of Ecole Polytechnique. You can find more information about my work in the CV section of this site (or in the short or long PDF versions). Everything around here is updated about once per year… and my picture about every decade.
Susan Hartman
speaker
Susan is a senior editor at the MIT Press, where she acquires titles in computer science. Her primary focus is on textbooks for traditional computing courses, as well as emerging areas relevant to both professionals and the education market. Her areas of interest include algorithms, networking, and programming languages. Susan is especially interested in books on machine learning and AI—particularly those that support next-generation courses shaped by the rapid evolution of AI technologies. She oversees new publications in several key series, including Adaptive Computation and Machine Learning, Intelligent Robotics and Autonomous Agents, and the MIT Lincoln Laboratory Series.
Jim Kurose
organizer
Jim Kurose is a Distinguished University Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst, where he has been on the faculty since receiving his PhD in computer science from Columbia University. He received a BA in physics from Wesleyan University. He has held a number of visiting scientist positions in the US and abroad, including the Sorbonne University, the University of Paris, INRIA and IBM Research. His research interests include computer network architecture and protocols, network measurement, sensor networks, and multimedia communication. He is proud to have mentored and taught an amazing group of students, and to have received a number of awards for his research, teaching and service, including the IEEE Infocom Award, the ACM SIGCOMM Lifetime Achievement Award, the ACM Sigcomm Test of Time Award, and the IEEE Computer Society Taylor Booth Education Medal. With Keith Ross, he is the co-author of the best-selling textbook, Computer Networking: a Top Down Approach (Pearson), now in its 8th edition. He is a member of the National Academy of Engineering and a Fellow of the ACM and the IEEE.
From January 2015 to September 2019, Jim was on leave, serving as Assistant Director at the US National Science Foundation, where he led the Directorate of Computer and Information Science and Engineering (CISE). With an annual budget of nearly $1B, CISE’s mission is to uphold the nation’s leadership in scientific discovery and engineering innovation through its support of fundamental research in computer and information science and engineering and transformative advances in cyberinfrastructure. Here is a blogpost on his NSF work. While at NSF, he also served as co-chair of the Networking and Information Technology Research and Development Subcommittee (NITRD) of the National Science and Technology Council Committee on Technology, facilitating the coordination of networking and information technology research and development efforts across Federal agencies. In 2018, Jim also served as the Assistant Director for Artificial Intelligence in the White House Office of Science and Technology Policy (OSTP).
Christophe Diot
organizer
Christophe Diot received a Ph.D. degree in Computer Science from INP Grenoble in 1991. Diot pioneered diffserv, single source multicast, epidemic communication, peer-to-peer online games, and most importantly Internet measurements. After INRIA (years 93-98 in Sophia Antipolis), Diot spent his career in industry, building R&D labs at Sprint (Bay area), INTEL Research (Cambridge), and Technicolor (Paris and Palo Alto). He was the Chief Scientist at Technicolor between 2009 and 2015. He helped launch Safran Analytics as their CTO before joining GOOGLE in june 2018 as Principal Engineer in the Network Architecture team. At GOOGLE, Diot deals with telemetry at scale in the cloud infrastructure. Since January 2020, Diot is the Technical Lead of the Network Analytics team in the Google Global Networks organization. Diot has around 40 patents and more than 300 publications in major conferences and journals. He is an ACM fellow.