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Director of Research Computing and Associate Professor of Computer Science, Kennesaw State University
Organizer for the workshop Trustworthy Artificial Intelligence for High-Risk Applications
Luminary AI Scientist & Data Science Fellow, Verizon
Organizer for the workshop Digital Twins – The Next Frontier in Data Science for Deep Insights and Prescriptive Analytics
Associate Professor, Rose-Hulman Institute of Technology
Panelist for Everything Everywhere All at Once: AI Disruption, Ethics, and Innovation
Software Engineer, Door Dash Labs
Panelist for Artificial Intelligence for Autonomous Driving
Professor in Computational Intelligence, Manchester Metropolitan University, UK
Organizer for the workshop Ethical Challenges within Artificial Intelligence – From Principles to Practice
Panelist for Explainable AI: Current Challenges and Future Perpectives
William Hill Professor of Computer Science, Director, Center for Information Assurance (CfIA), The University of Memphis
Panelist for Adversarial Machine Learning: Lessons Learned, Challenges & Opportunities
Professor, Department of Radiology at Stanford University School of Medicine, Interim Chief, Director of the Canary Center at Stanford for Cancer Early Detection, Electrical Engineering (by courtesy)
Speaker for Workshop on Entrepreneurship & Strategies for AI Startups
Founder & CTO, Waveshaper AI
Speaker for Workshop on Entrepreneurship & Strategies for AI Startups
Co-Founder & Managing Partner, Calibrate Ventures
Speaker for the Workshop on Entrepreneurship & Strategies for AI Startups
Assistant Professor, Dept of Electrical Engineering & Computer Science
Syracuse University
Moderator for the panel Power Grid Operations and Planning Under Uncertainty: How Can AI Help Address Existing Challenges?
Professor of Computer Science, University of Nottingham, UK
Moderator for the panel Explainable AI: Current Challenges and Future Perspectives
Tech Lead, Perception Model Development, Latitude AI
Panel moderator for Artificial Intelligence for Autonomous Driving
Reader in Computational Intelligence, University of Portsmouth, UK
Panelist & Co-organizer of Explainable AI: Current Challenges and Future Perpectives
Chief Executive Officer, SnowShoe.io
Panelist for Evolving Landscape of Responsible AI
Staff Tech Lead Manager, Cruise
Panelist for Artificial Intelligence for Autonomous Driving
Chair & Technical Editor, IEEE 7000 Standard; Vice Chair and Process Architect, IEEE Ethics Certification Program for Autonomous and Intelligent Systems; Director of R&D and Innovation, Vega Systems, UK
Organizer of the workshop Advances in the Assessment and Certification of AI Ethics
Senior Staff Software Engineer, Google Counter Abuse Technology
Co-moderator for the panel Adversarial Machine Learning: Lessons Learned, Challenges & Opportunities
Senior Cloud Software Engineering Manager, Intel
Speaker for Industrial AI Vertical and Moderator for the panel Evolving Landscape of Responsible AI
Professor of Information Systems, Eindhoven University of Technology, The Netherlands
Panelist & Co-organizer for Explainable AI: Current Challenges and Future Perspectives
Staff Research Engineer, Brain Privacy & Security at Google Research
Speaker for Societal Implications of AI Vertical and Co-moderator for the panel Adversarial Machine Learning: Lessons Learned, Challenges And Opportunities
Principal, Neuvation Ventures
Moderator for Workshop on IEEE Entrepreneurship
Founding General Partner, Good AI Capital
Speaker for the Workshop on Entrepreneurship & Strategies for AI Startups
Managing Director, Marketing & Business Development, a2Collective.ai
Speaker for the Workshop on Entrepreneurship & Strategies for AI Startups
Assistant Professor, Electrical Engineering, Arizona State University
Panelist for Power Grid Operations and Planning Under Uncertainty: How Can AI Help Address Existing Challenges?
Chief Executive Officer, ecoLong
Panelist for Power Grid Operations and Planning Under Uncertainty: How Can AI Help Address Existing Challenges?
Professor, Dept of Electrical Engineering & Computer Science
Syracuse University
Co-Moderator for the panel Power Grid Operations and Planning Under Uncertainty: How Can AI Help Address Existing Challenges?
Director, Healthcare & Life Sciences Global Practice Lead, IEEE Standards Association
Speaker for the Workshop on Entrepreneurship & Strategies for AI Startups
Faculty in Applied Data Science, San Jose State University
Panelist for Evolving Landscape of Responsible AI
Technical Lead Manager, Machine Learning Research, Nuro
Panelist for Artificial Intelligence for Autonomous Driving
Assistant Professor, Carnegie Mellon University
Panelist for Adversarial Machine Learning: Lessons Learned, Challenges & Opportunities
CEO and Co-Founder of Scrivner Solutions, Inc.
Panel Moderator for Everything Everywhere All at Once: AI Disruption, Ethics, and Innovation
Assistant Professor, Rose-Hulman Institute of Technology and Co-Founder of Scrivner Solutions, Inc.
Panelist for Everything Everywhere All at Once: AI Disruption, Ethics, and Innovation
Sr. Machine Learning Research Engineer, Motional
Panel moderator for Artificial Intelligence for Autonomous Driving
AI Practice Lead, Software Engineering Professionals (SEP)
Panelist for Everything Everywhere All at Once: AI Disruption, Ethics, and Innovation
Professor, Research Group for Robotics and Intelligent Systems, University of Oslo, Norway
Organizer for the workshop Ethical Challenges within Artificial Intelligence – From Principles to Practice
Assistant Professor of Computer Science, School of Science, Engineering and Technology, Pennsylvania State University
Organizer for the workshop Trustworthy Artificial Intelligence for High-Risk Applications
Professor, Computer Science Division, University of California, Berkeley
Panelist for Adversarial Machine Learning: Lessons Learned, Challenges and Opportunities
Partner, REDDS Capital and Chair of IEEE Entrepreneurship
Speaker & Co-organizer of the Workshop on Entrepreneurship & Strategies for AI Startups
Senior Director Power/Energy, Hitachi America, Ltd.
Panelist for Power Grid Operations and Planning Under Uncertainty: How Can AI Help Address Existing Challenges?