Partha Maji

Partha Maji is currently a Principal Research Scientist at Arm’s Machine Learning Research Lab based in Cambridge, where he drives the core research in the efficient implementation of probabilistic machine learning on resource-constrained devices. Prior to this, he worked as a Staff SoC Design Engineer at Broadcom Ltd. where he led various front-end and back-end design and implementation activities. Partha started his career in the semiconductor industry as a Micro-architecture design engineer in the Processor Division group at Arm. He also spent in the software industry for a while before embarking on chip design. He has extensive experience with the end-to-end chip design process starting from microarchitecture-level design to physical design through multiple tape-outs of low-power chips at 65/40/28/22nm deep-submicron CMOS process technology. His current research interests lie in multiple disciplines that bridge the topics of machine learning, mobile/embedded systems, computer architecture, and hardware implementation.

Partha has received several excellence awards from the industry including a Mentor Graphics prize for outstanding achievement in the master’s degree. Partha also received multiple accolades for his research in on-chip interconnect including an award from Epson Europe and the IET, UK. He was also recognized by the European Neural Network Society for his high-quality contribution to machine learning research. Partha was a recipient of the prestigious UK Chevening scholarship. He received a Ph.D. in Computer Science from the University of Cambridge and an MSc in System-on-Chip design from the University of Edinburgh.