PI: Prof. Priyamvada Jadaun
Chair Professor
Electrical Engineering and Computer Sciences
Technical University of Berlin, Germany.
Prof. Jadaun is a Visiting Scholar in the Dept. of EECS at University of California, Berkeley and an Affiliate at the Lawrence Berkeley National Laboratory, USA.
She obtained her B. Tech. in Engineering Physics from IIT Bombay, followed by M.A. in Physics and Ph.D. in Electrical and Computer Engineering from The University of Texas at Austin (UT). She was also a Postdoctoral Associate in Applied Physics at Cornell University and a Research Associate in ECE at UT. Additionally, she pursued brief stints in industry at imec and Applied Materials.
Prof. Jadaun works on the design of novel devices and materials, including electronic, spintronic, topological and 2D materials. The main applications of her research include the design and development of hardware for artificial intelligence, bio-inspired ‘neuromorphic’ computing, and quantum sensing.
Her past discoveries include the computational design of the first context-aware artificial neuron that fundamentally outperforms state-of-the-art intelligent devices, oxide materials that show exceptionally large spin Hall effect, magnetic bilayers that show significantly improved skyrmion stability and uncovering the fundamental link between electric polarization and topology. Her work has received multiple accolades including Press Highlight at APS March Meeting 2022, UT Research Showcase, Feature Story by Texas Advanced Computing Centre, Indian Academy of Sciences Summer Fellowship and National Fellowship KVPY, amongst others.