Dr. Kwabena Boahen: A professor at Stanford University, Dr. Boahen is a leading figure in neuromorphic engineering. His research lab explores the design of neuromorphic chips, focusing on both the hardware and software aspects of brain-inspired computing.
Dr. Giacomo Indiveri: As a professor at the University of Zurich and ETH Zurich, Dr. Indiveri has been instrumental in advancing neuromorphic circuits and systems. His work dives deep into the intricacies of emulating brain-like computation on silicon devices.
Dr. Steve Furber: Best known for his work on the ARM microprocessor, Dr. Furber, from the University of Manchester, is now involved in the SpiNNaker project—a million-core neuromorphic computing platform inspired by the human brain’s architecture.
Dr. Julie Grollier: Research Director at CNRS-Thales, France, Dr. Grollier is renowned for her contributions to spintronic-based bio-inspired devices, combining the worlds of nanoelectronics and neuromorphic computing.
Dr. Michael Pfeiffer: A leading expert at BrainChip, Pfeiffer’s work focuses on learning algorithms for neuromorphic hardware, making machine learning more efficient and closer to how human neurons operate.
Dr. Tobi Delbruck: As a professor at ETH Zurich, Delbruck’s expertise lies in sensory processing. He’s known for developing silicon retina devices that mimic the way human eyes process visual information, an essential component of neuromorphic systems.
Dr. Jennifer Hasler: Based at the Georgia Institute of Technology, Dr. Hasler’s research encompasses large-scale integrated systems, including neuromorphic models. Her exploration of floating-gate circuits has paved the way for more adaptable neuromorphic systems.
Dr. Narayan Srinivasa: As the Chief Scientist at Intel’s Loihi project, Dr. Srinivasa’s insights are crucial in driving one of the most advanced neuromorphic research projects, aimed at developing brain-inspired hardware.
Dr. Elisabetta Chicca: Working at Bielefeld University, Dr. Chicca is at the forefront of developing neuromorphic chips that can emulate synaptic plasticity—the brain’s ability to strengthen or weaken neural connections based on activity.
Dr. Ryuji Yokoyama: Leading research at IBM’s Almaden Research Center, Dr. Yokoyama’s focus is on developing devices and systems that leverage the principles of neuromorphic engineering to create more energy-efficient and adaptive computing platforms.
