(B.Tech IIT Delhi’05, MS/Ph.D. Cornell’10)
Hello! I am Sasikanth Manipatruni, a scientist and technologist working to build the next generation of computing using new materials applied to AI. I am also very deeply interested in educating a new generation of students in physics.
The central theme of my work is to develop the next ubiquitous compute fabric using breakthrough materials. My work is focused on the next generation materials and computer architectures to chart a new Moore's Law, driven by quantum materials.
Old work (2005-2018):
Magneto-electric Spin Orbit-Logic: a room temperature ubiquitous computing element for extending Moore's Law with quantum materials. This is the result of nearly 8 years of intense exploration for the next switch.
Sasikanth Manipatruni is a physicist/technologist working to build the next generation of computing beyond Moore’s Law. He was the founding research director of Intel-FEINMAN center (Functional Electronics Integration and Manufacturing). He was also a senior advisor to the CTO of Intel AI group. Earlier he worked at GE-Healthcare demonstrating the first optically readout 3 Tesla MRI. He received Ph.D. from Cornell working with Prof. Michal Lipson in silicon photonics where he demonstrated world’s first >18 Gbit/s ultra-fast silicon electro-optic switches, optomechanical non-reciprocity and synchronization of optomechanical systems. Before Cornell, he graduated from IIT-Delhi at the top of the EE class. He built 1st industrially adopted spintronic/quantum SPICE software. For this work, he was awarded the IEEE/ACM under 40 innovator award at DAC’17, Mahboob Khan outstanding liaison award ‘16, Minnesota CSPIN outstanding industry liaison award ‘16, and serves on several industry panels for research selection including the council on competitiveness. His work is published in Nature, Science, Nature Physics and is cited ~4200 times. He holds ~ 220 granted/applied patents in spin/photonics/MEMS/CAD/AI/QC. He coaches middle/high school students for USA-PHO physics olympiads.
Under 40 innovators recognized at DAC by ACM/IEEE:
a) Developing the next ubiquitous computing fabric with room temperature quantum materials.
b) Physics of AI: Removing the limits imposed by present CMOS fabric (the commercial transistor) for AI computation.
c) Technological scaling of beyond CMOS memory and logic. Charting a path for adoption of beyond CMOS.