Hunter has launched ML / AI products in the IOT / Smart City space for 8 years, where he led development and new business units for multiple venture backed startups. Everything from HVAC to garbage.

Studying physics and product development in college, Hunter worked in the Office of Technology and Commercialization and helped launch over 20 companies based upon deep tech research, coming out of the University of Minnesota. He currently leads AI and computer vision for Flash, a parking and mobility hub technology company based in Austin, TX. Outside of work, Hunter can be found spending time with his wife and three kids, building in his shop, or kiteboarding.

Sabbir has a PhD in Mechanical Engineering from the University of California at Berkeley, and has enjoyed a distinguished career in optics, sensors, LiDAR, and movement automation. He currently heads Patience Consulting, a specialist in assisting customers with market, management, strategic and technology analysis as well as serving on the board of multiple companies and being a regular Forbes contributor.

Previously, Sabbir pioneered development of high-performance LiDAR systems at Princeton Lightwave and led the Automotive LiDAR business, where he was pivotal in the company’s sale to Argo.ai.

David has a PhD in Astrophysics from the University of Bristol and is a respected academic, heading all Data Science activities and working as an Associate Professor of Data Science and Machine Learning at the University of Middlesex.

David has authored approximately 150 peer-reviewed publications, covering topics on computer vision, deep learning, quantum computing, biometrics, cognitive bootstrapping, human-computer interfacing and autonomous vehicles. Within this work, David has played a leading role in a number of industrial and academic projects including ESPRC ACASVA, EU DIPLECS and DREAMS4CARS.

Chris has a PhD in Computer Science from the University of Michigan and has enjoyed a diverse technical and academic career, starting at Microsoft and working most recently as a Professor of Computer Science at the University of Middlesex. Chris has published over 100 papers in his time at Middlesex, with most of his work concentrating on spiking neural models as reasonable models of the biological neuron in neuropsychological models and agents built from artificial neurons, whilst his work in vision processing has been based on models of the primary and secondary visual cortex.

Chris has also led work on hybrid and electric vehicle programs in conjunction with leading automobile manufacturers and the US Department of Energy.

Hakima (Linda) has a PhD in Molecular Astrophysics from the University of Paris, where she graduated summa cum laude. She has since enjoyed an impressive variety of technical and academic roles. Linda is an ambassador for Women in AI, and the designer/developer of a deep-learning algorithm used for eye tracking and gaze prediction. Her interest in deep-learning stems from looking at how solid-state materials play a role in star and planet formation.

Linda is a regular member of the American Association for Artificial Intelligence and a respected research scientist, working on various AI-centric projects involving the monitoring and understanding of facial movement.