PRATIK KUMAR

I am a Ph.D. candidate in my final year at the Indian Institute of Science (IISc), NeuRonICS lab, Bengaluru, India. My work lies at the intersection of hardware-friendly Machine Learning algorithms, High-Performance Machine Learning Computational Accelerators(Analog-Mixed Signal hardware), and Emerging Memory architectures(for in-Memory/Near memory). As a part of my research, I have designed several novel computational systems for Machine Learning and Edge Computing tasks. 

My research also focuses on designing hybrid architectures that are versatile enough to be used with novel-2D synaptic memory and planar CMOS technology. All these novel architectures are inspired by the Brain and utilize In-Memory/Near-Memory computing to overcome the Von Neumann bottleneck. 

Currently, my research aims to tackle the hardware challenges of Machine Learning and Edge Computing through the use of analog technology. The goal is to develop a programmable mixed-signal analog compute accelerator chip for AI tasks that can adapt to various process technology nodes while maintaining the modularity and robustness of digital designs.