Sri Krishna Vadlamani

Postdoctoral Associate
Department
Research Laboratory of Electronics
Technology Areas
Artificial Intelligence (AI) and Machine Learning (ML) / Computer Science: Networking & Signals, Quantum Computing
Impact Areas
Advanced Materials

Explores quantum physics, optics, and physics-computing intersections to advance fundamental research in electrical engineering.

Background and Education

Sri Krishna Vadlamani (Member, IEEE) received the B.Tech. degree in electrical engineering from IIT Bombay, Mumbai, India, in 2016. He has a Ph.D. degree in electrical engineering and computer sciences from the University of California at Berkeley. In 2015, he was an Intern with the Theory and Simulation of Materials Group, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. His current research interests are at the intersection of analog computing, neural networks, and device physics, designing hardware-based solutions for machine learning, combinatorial optimization, and ultra-low-power systems. His work explores parametric oscillator networks and advanced optimization methods, demonstrating new strategies for robust, energy-efficient computing.

Technologies

Quadrature-Amplitude Modulation Optical Neural Network

Technology / Case number: #26066
Dirk R Englund / Sri Krishna Vadlamani / Marc Bacvanski
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Computer Science
Impact Areas: Advanced Materials
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