Team

Realization of the challenging milestones identified by the NeuRoBots Consortium demands complementary expertise in diverse areas such as materials and device engineering (Anantram and Xiong), neuromorphic computing, compute-in-memory architectures, robotics (Kubendran), and learning algorithms (Kubendran, Das). Kubendran received training in energy-efficient computing architectures and did his doctoral work focused on neuromorphic computing for computer vision. Prior to doctoral work, Kubendran worked at Qualcomm and Intel. He brings a systems level perspective (computer architecture and circuits) to nontraditional computing. His prior work includes a Nature paper on CMOS-RRAM compute-in-memory architecture.

At Pitt, Kubendran has worked on bio-inspired SNNs. Xiong is an expert on synaptic electronics, emerging memory devices, and nanoelectronics. He has developed devices with short-term and long-term plasticity and his lab is well equipped for the proposed work which includes device fabrication and characterization of time-dependent measurement on devices at various clocking frequencies. Anantram is an expert in modeling of electrons and ions using multi-physics approaches based on using both the Kinetic Monte Carlo, quantum mechanics and the drift-diffusion equation.