Recently retired from active duty, Gen. Hager’s most recent posts included USCYBERCOM and the US Cyber National Mission Force, reporting to Gen. Nakasone, NSA Director. First commissioned in 1987, he was one of the few military officers with advanced engineering degrees from Silicon Valley. He has served in CENTCOM, DODIN, with deployments to Africa and Southwest Asia.
CTO & co-founder of Robust.ai, working on harmonizing human-robot interaction. Dr. Brooks also co-founded Rethink Robotics & iRobot. He directed MIT’s CSAIL for a decade. He is a Fellow of AAAI, AAAS, ACM, IEEE, ATSE, and a member of the National Academy of Engineering. He is the Panasonic Professor of Robotics (emeritus) at MIT, and earned his PhD from Stanford.
Professor & Avanessians Director, Data Science Inst. at Columbia. Dr. Wing was CVP/Head of Microsoft Research, President’s Professor of CS at CMU, and an Asst Dir at the NSF. Her research interests are trustworthy AI, security & privacy, specification and verification, and distributed systems. Dr. Wing is a Fellow of the AAAS, ACM, IEEE. She earned her SB, SM, and PhD all from MIT.
CEO of Aitomatic, a Knowledge-First ML company. He works with leading industrial companies like Panasonic and Tesla to help get fish from ocean to table, make efficient batteries for EVs, and keep cars safe. Dr. Nguyen was president of Arimo-Panasonic, eng. director at Google, and prof. of ECE at HKUST. He earned his BS from UC Berkeley, and MS & PhD from Stanford.
Director at Panasonic, leading its Global Digital & AI Technology Center. His organization provides the bridge between leading-edge technologies and customer solutions through the business divisions. A veteran exec at Panasonic, Kutsumi-san is a senior leader in the CTO organization, bringing to market innovative products from autonomous robots to AI-based predictive maintenance.
Director of the USC Information, Inference & Intelligence Group. Dr. Mitra is the USC Viterbi Gordon S. Marshall Chair in Engineering and Professor of ECE & CS. Her work includes underwater acoustic comm, wireless body-area networks for health, and sensor networks, under programs sponsored by Office of Naval Research and the NSF (Mobile Underwater Networks).
VP of Digital Platforms at WESCO (formerly Westinghouse). Mr. Mereby has led global incubation & expansion of connected products & cloud-based industrial applications. He has led acquisitions of AI companies, managed sales/distribution strategies & policies. He has identified and forged strategic partnerships and managed relationships with other Fortune 500 companies.
Head, Industrial AI at Hitachi. Dr. Gupta also co-leads the Hitachi Global AI Center of Excellence. He leads teams of data scientists, architects and developers to build fundamental horizontal technologies for Industrial AI, and solutions for verticals such as mobility, manufacturing, mining, energy management systems, and industrial analytics. He earned his MS and PhD in CS and ChemE from UIC.
Crittenden Chair Professor in Cancer Research, and Chief of Medical Physics & Engineering, Radiation Oncology, at UTSW Medical Center. Dr. Jiang leads the Medical AI & Automation (MAIA) Lab, incorporating human knowledge into deep learning for radiation therapy. He is Fellow at both the Am. Inst. for Medical & Biological Engineering, and the Am. Assoc. of Physicists in Medicine.
Professor (Emeritus) of Computer Science and of Biostatistics & Medical Informatics at the University of Wisconsin-Madison. Dr. Shavlik is a recognized expert in the application of human knowledge to ML, pioneering such architectures as Knowledge-Based Artificial Neural Networks (KBANN). He specializes in “Learning algorithms that take advice” and ML applied to biomedical tasks.
Co-founding General Partner, Bloomberg Beta, a highly successful early-stage venture capital firm with a soul, based in Silicon Valley. Bloomberg Beta invests funds from a single LP: the billionaire Mayor Bloomberg. Mr. Cham is a thought leader in the future of AI and its business models. He earned his BS CS from Harvard and an MBA from the MIT Sloan School of Management.
Erik Jonsson Chair Professor of Computer Science at UT Dallas. Co-Director of the Center for Applied AI/ML. Dr. Gupta’s research interests include Knowledge Representation, Common Sense Reasoning, Explainable Machine Learning, as well as HCI Tools for Visually Impaired & Intelligent Interfaces. He earned his BS from IIT Kanpur, and MS & PhD from UNC at Chapel Hill.
Professor of Data Science & Philosophy, UCSD. Dr. Danks was also CMU’s LL Thurstone Professor of Philosophy & Psychology, Chief Ethicist at its Block Center for Technology & Society. His research interests are at the intersection of philosophy, cognitive science, and machine learnings. He has explored ethical, psychological, and policy issues around AI and robotics.
Assoc. Professor, Dept of Mechanical Engineering at the University of Connecticut. Dr. Hu’s research expertise is engineering design under uncertainty, post-design failure prognostics, with applications to Li-ion batteries, rotating machinery, and structural systems. His work on Intuitive Predictive Maintenance of Industrial and Agricultural Equipment is funded by the NSF.
Technology Director at Wesco, where he leads teams of data scientists and ML engineers working on industrial, physical-world AI/ML, Robotics, Platform and InnovationAI. Prior, Mr. Dande was a Principal Architect at Haliburton, specializing in Robotics, Automation, AI, ML, RL. He earned his BS from the University of Madras, and an MSEE from Clarkson University.
Distinguished Career Professor of ML & CS at the Heinz College at CMU. He was the Chief Data Scientist for the Obama presidential campaign. He was also the Director of the Center for Data Science and Public Policy & Senior Fellow at the Harris School of Public Policy at the University of Chicago. Dr. Ghani also led the Eric & Wendy Schmidt Data Science for Social Good Summer Fellowship.
Lead for NASA's Sustainable Aviation CDDR Demonstration, oversees the NASA/FAA Digital Mesh Technology and Applications AI/ML working group. Dr. Coupe led the development of NASA's ML Airport Surface Model and received the 2020 NASA Award for outstanding promotion and proliferation of AI/ML for aviation. He received his PhD in Computer Engineering from UC Santa Cruz.
Product Management Leader for Michelangelo & Applied AI Platform at Uber, where his emphasis has been on user Trust & Safety. Mr. Parikh has successfully built & marketed products across the compute continuum—from ML applications to big data analytics platforms to consumer electronics devices. He holds an MBA from Haas School of Business and MSEE from USC.
CEO of VinAI, on a mission to make machines better understand humans. He was at Google DeepMind, Adobe Research, Nuance Natural Language Understanding Lab after ten years at the AI Center, SRI International. Dr. Bui led a multi-institution research team that developed the probabilistic inference technology for the CALO project. He was assoc prof at Curtin University, Australia, & earned a PhD in CS.
Managing Partner at Derwen AI. Mr. Nathan works with leading industrial companies like BASF and Siemens on European AI initiatives. He is a recognized expert in natural language processing & understanding, data science, cloud computing, with 40+ years tech academic & industry experience, ranging from Berkeley, Stanford, Bell Labs to early-stage start-ups.
Patrick Hall is principal scientist and partner at the AI-focused law firm BNH.AI. He also serves as visiting faculty in the Decision Sciences Department at The George Washington School of Business. Before co-founding BNH.AI, Patrick led responsible AI efforts at the machine learning software firm H2O.ai and developed general-purpose machine learning tools at SAS Institute.
Head of Knowledge Architecture, Global Digital Services at BASF. He leads an interdisciplinary group of experts, architects, and students that drive and develop knowledge architecture to build solutions combining natural language processing, ontologies, and knowledge graphs on large scale for improved productivity and insights. Mr. Muller holds a diploma in Mathematics from the University of Bayreuth.
Dr. Seo’s research focuses on principled techniques for extracting knowledge from complex structures using it to build predictive models—merging insights both from data mining & machine learning. His work includes physics-informed machine learning, spatio-temporal learning, graph-based neural networks, time-series forecasting. He earned his MS from UMich and PhD from USC.
Chief AI Officer, FPT Software. Prior, he was an AI Researcher at Hitachi Central Research Laboratory (Japan), where he obtained 8 patents and was named among Hitachi’s Top 50 young inventors. He was also Director of Data Science and AI Division at Tokyo Techies, and Hitachi’s representative and Visiting Researcher at Mila. He earned his MS from CMU and PhD from the University of Tokyo.
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Former Chief Data Scientist, O’Reilly. Past Program Chair of Strataconf.com, TheAIconf.com, Tensorflow.world, and #SparkAISummit. Dr. Lorica hosts the Data Exchange Podcast, focused on data, machine learning and AI. He also produces Gradient Flow, named by Coursera as a Top-10 Site for Data Scientists. He earned his PhD in Mathematics from UC Santa Barbara.
Head of AI Solutions Engineering, Aitomatic, leading teams to build cutting-edge Industrial AI solutions that leverage domain expertise. Dr. Rozario applied ML to radiation treatment at UT Southwestern Medical. At Siemens Automation, he helped enterprises to improve automation capabilities. He earned his PhD in CS from UT Dallas.
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