Dr. Mika Laiho
Kovilta

Dr. Mika Laiho is the CTO at Kovilta, a company specializing in visual sensing and computing solutions for real-time robotic control. His research interests include image sensors, on-sensor computing, visual odometry, and neural network hardware implementations on edge devices.

Dr. Mina Khoei, holds a Ph.D. in Computational Neuroscience and brings over 10 years of academic and industrial R&D experience at the intersection of neuroscience and engineering. Her work spans computational and experimental neuroscience, the design of energy-efficient and neuromorphic applications, spiking neural networks (SNNs), and event-based vision sensors.

Prof. Gordon Wetzstein is an Associate Professor of Electrical Engineering and, by courtesy, of Computer Science at Stanford University. He is the director of the Stanford Computational Imaging Lab and a faculty director of the Stanford Center for Image Systems Engineering. At the intersection of computer graphics and vision, artificial intelligence, computational optics, and applied vision science, Prof. Wetzstein’s research has a wide range of applications in next-generation imaging, wearable computing, and neural rendering systems.

Prof. Kwabena Boahen is a Professor of Bioengineering and of Electrical Engineering at Stanford University, with a courtesy appointment in Computer Science, and an investigator in the Bio-X Institute, the System X Alliance, and the Wu Tsai Neurosciences Institute. He founded the Brains in Silicon Lab at Stanford to link neuronal biophysics to cognitive behavior through computational modeling and to emulate the brain with silicon chips through neuromorphic engineering.

Prof. Piotr Dudek is is a Professor of Circuits and Systems in the School of Electrical and Electronic Engineering. His research interest are in the area of integrated circuit design, especially vision sensors, cellular processor arrays, analogue and mixed-mode processing hardware, neuromorphic engineering and brain-inspired systems.

Richard Newcombe is Director of Machine Perception at Meta Reality Labs and an Affiliate Assistant Professor at the University of Washington. His team at Meta Reality Labs is developing a new generation of Machine Perception technologies, devices, and infrastructure to unlock the potential of Augmented Reality and Contextualized AI.

Prof. Xuan ’Silvia’ Zhang is an Associate Professor of Electrical and Computer Engineering at Northeastern University, with a courtesy appointment at Khoury College of Computer Sciences. Her lab works at the intersection of Artificial intelligence (AI) hardware and systems, machine vision co-design, and AI for automated chip design.