Keynote Speakers

Keynote 1 – Title: coming soon…

Coming soon…

Robert Hampshire

Robert Hampshire

U.S. Department of Transportation

Bio:

Robert Hampshire serves as the Deputy Assistant Secretary for Research and Technology, and Chief Science Officer. Hampshire was previously an associate professor at the Gerald R. Ford School of Public Policy at the University of Michigan. He was also a research associate professor in both the U-M Transportation Research Institute (UMTRI) and Michigan Institute for Data Science (MIDAS), and an affiliated faculty member in the Department of Industrial and Operations Engineering (IOE).

His unique blend of engineering systems research with public policy has made him a leader in not only transportation research, but also on the disparate impact of policy decisions in transportation systems. This has led to important strides in our understanding of transportation equity. His research applies operations research, data science, and systems approaches to analyze novel transportation systems such as smart parking, connected vehicles, autonomous vehicles, ride-hailing, bike sharing, car sharing, as well as, pedestrian and bicyclist safety. His research focuses on environmental impacts, equity, and access to opportunities. His work has been cited widely, and covered by major press outlets. He has worked extensively with both public and private sector partners worldwide. He has also been a faculty member at Carnegie Mellon University and a visiting professor at Massachusetts Institute of Technology. Hampshire received a PhD in operations research and financial engineering from Princeton University.

Bio:

Robert Hampshire serves as the Deputy Assistant Secretary for Research and Technology, and Chief Science Officer. Hampshire was previously an associate professor at the Gerald R. Ford School of Public Policy at the University of Michigan. He was also a research associate professor in both the U-M Transportation Research Institute (UMTRI) and Michigan Institute for Data Science (MIDAS), and an affiliated faculty member in the Department of Industrial and Operations Engineering (IOE).

His unique blend of engineering systems research with public policy has made him a leader in not only transportation research, but also on the disparate impact of policy decisions in transportation systems. This has led to important strides in our understanding of transportation equity. His research applies operations research, data science, and systems approaches to analyze novel transportation systems such as smart parking, connected vehicles, autonomous vehicles, ride-hailing, bike sharing, car sharing, as well as, pedestrian and bicyclist safety. His research focuses on environmental impacts, equity, and access to opportunities. His work has been cited widely, and covered by major press outlets. He has worked extensively with both public and private sector partners worldwide. He has also been a faculty member at Carnegie Mellon University and a visiting professor at Massachusetts Institute of Technology. Hampshire received a PhD in operations research and financial engineering from Princeton University.

Keynote 2 – Rapid Deployment of Your Smart Vision Application with OpenNCC™ (Open Neural Compute Camera)

Many AI developers have faced the challenge of deploying their algorithms and applications in the real world. It can take 9 to 18 months to design and manufacture customized optics and edge-AI cameras. It takes a lot of effort to integrate these cameras into a cloud based data collection and device management system for an end-to-end IoT application. Now with the Open Neural Compute Camera system, it takes away the pain and time of designing a customized hardware with the modulized, fully customizable lens, sensor, imaging pipeline, inferencing engine, and communication interface. OpenNCC is an appliance conforming to the Intel OpenVINO framework so that more than 100 public OpenVINO models such as Human Pose Estimation and Pedestrian Detection can be applied on the camera seamlessly. OpenNCC also comes with its software development kit to make it easier to integrate with server or cloud applications for device management, data collection, and remote control panel of the AI cameras.

In this keynote speech we will explain the architecture and interfaces of the OpenNCC appliance and demonstrate through examples of how quickly one can build a Smart Vision Application using the OpenNCC appliance and platform.

Po Yuan

Po Yuan

Founder/CEO of eyecloud.ai

Bio:

Po Yuan is the Founder/CEO of eyecloud.ai, a Silicon Valley startup specializes in AI vision product design. Prior experience including VP of Applications Engineering at Movidius an AI processor startup which was acquired by Intel, Sr. Manager at Aptina Imaging, Director of Mobile Software at SanDisk, and Sr. Software Engineer at Microsoft. Po graduated from University of Texas at Dallas with Master’s degree in digital signal processing, and Master and Bachelor’s degrees from Tsinghua University. Po has many years of technical development and management experience and is an expert in AI, Computer Vision, Imaging, and IoT applications holding 20+ patents in the US and Europe.

Bio:

Po Yuan is the Founder/CEO of eyecloud.ai, a Silicon Valley startup specializes in AI vision product design. Prior experience including VP of Applications Engineering at Movidius an AI processor startup which was acquired by Intel, Sr. Manager at Aptina Imaging, Director of Mobile Software at SanDisk, and Sr. Software Engineer at Microsoft. Po graduated from University of Texas at Dallas with Master’s degree in digital signal processing, and Master and Bachelor’s degrees from Tsinghua University. Po has many years of technical development and management experience and is an expert in AI, Computer Vision, Imaging, and IoT applications holding 20+ patents in the US and Europe.

Keynote 3 – Enhancing the Security and Resilience of the Smart Grid in Smart Cities

Cybersecurity is of paramount importance for the smart grid, especially since energy is a major critical infrastructure sector. Recent cybersecurity incidents and security research studies demonstrate that smart cities and electric grids could be subjected to debilitating and disrupting attacks that might lead to severe security and economic consequences and even endangerment and loss of human lives. These attacks might be carried out by a spectrum of individuals such as criminals, cyber-terrorists, terrorists, and foreign government spies. In this talk, we will first discuss the threat landscape by presenting recent attacks on industrial control systems, smart cities, and the smart grid. Second, we will emphasize the derivation of cyber threat intelligence that could be used to prevent, detect, mitigate and attribute attacks on IT/OT infrastructure. Finally, we will address the security of the smart grid. In this regard, we will discuss the monitoring, detection, and prevention of attacks. As such, we will address the design and implementation of digital runtime co-simulation models. Then, we will use them to: (1) execute attacks and quantify their cyber-physical effects, and (2) collect telemetry data and subject it to AI-based security analytics for attack detection purposes. An important goal of this talk is to discuss metrics that could be used to measure the security and resilience posture.

Mourad Debbabi

Mourad Debbabi

Concordia University, Canada

Bio:

Mourad Debbabi is a Professor at the Concordia Institute for Information Systems Engineering and the Dean of the Gina Cody School of Engineering and Computer Science at Concordia University. He holds the NSERC/Hydro-Quebec Thales Senior Industrial Research Chair in Smart Grid Security and the Hon. Concordia Research Chair Tier I in Information Systems Security. He is a member of CATAAlliance’s Cybercrime Advisory Council. He serves/served on the boards of Canadian Police College, PROMPT Québec, and Calcul Québec. He was also a member of the Cybersecurity Advisory Board to the Minister for Government Digital Transformation. He is the founder and the Director of the Security Research Centre of Concordia University. Dr. Debbabi holds Ph.D. and M.Sc. degrees in computer science from Paris-XI Orsay, University, France. He published 7 books and more than 300 peer-reviewed research articles in international journals and conferences on cybersecurity, cyber forensics, smart grid, privacy, cryptographic protocols, threat intelligence generation, malware analysis, reverse engineering, specification and verification of safety-critical systems, programming languages, and type theory. He supervised to successful completion 33 Ph.D. students, 76 Master students, and 15 Postdoctoral Fellows. He served as a Senior Scientist at the Panasonic Information and Network Technologies Laboratory, Princeton, New Jersey, USA; Associate Professor at the Computer Science Department of Laval University, Canada; Senior Scientist at General Electric Research Center, New York, USA; Research Associate at the Computer Science Department of Stanford University, California, USA; and Permanent Researcher at the Bull Corporate Research Centre, Paris, France.

Bio:

Mourad Debbabi is a Professor at the Concordia Institute for Information Systems Engineering and the Dean of the Gina Cody School of Engineering and Computer Science at Concordia University. He holds the NSERC/Hydro-Quebec Thales Senior Industrial Research Chair in Smart Grid Security and the Hon. Concordia Research Chair Tier I in Information Systems Security. He is a member of CATAAlliance’s Cybercrime Advisory Council. He serves/served on the boards of Canadian Police College, PROMPT Québec, and Calcul Québec. He was also a member of the Cybersecurity Advisory Board to the Minister for Government Digital Transformation. He is the founder and the Director of the Security Research Centre of Concordia University. Dr. Debbabi holds Ph.D. and M.Sc. degrees in computer science from Paris-XI Orsay, University, France. He published 7 books and more than 300 peer-reviewed research articles in international journals and conferences on cybersecurity, cyber forensics, smart grid, privacy, cryptographic protocols, threat intelligence generation, malware analysis, reverse engineering, specification and verification of safety-critical systems, programming languages, and type theory. He supervised to successful completion 33 Ph.D. students, 76 Master students, and 15 Postdoctoral Fellows. He served as a Senior Scientist at the Panasonic Information and Network Technologies Laboratory, Princeton, New Jersey, USA; Associate Professor at the Computer Science Department of Laval University, Canada; Senior Scientist at General Electric Research Center, New York, USA; Research Associate at the Computer Science Department of Stanford University, California, USA; and Permanent Researcher at the Bull Corporate Research Centre, Paris, France.