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Prof. Priyamvada Jadaun leads the Neuromorphic Computing Chair at the Technische Universität Berlin, specializing in semiconductor components and microelectronic systems. With a B. Tech. in Engineering Physics from the Indian Institute of Technology Bombay and a Ph.D. in Electrical and Computer Engineering from the University of Texas at Austin, she has cultivated extensive expertise in bio-inspired computing and quantum bio-sensing. Prof. Jadaun's research primarily focuses on developing innovative mechanisms for next-generation information technologies through artificial intelligence (AI) hardware, with applications in biomedicine and neurotechnology. In her career, she has held postdoctoral and research positions at esteemed institutions, including Cornell University and the University of California at Berkeley. Additionally, her industry experience spans roles at imec and Applied Materials, enhancing her practical perspective on advanced material technologies. Prof. Jadaun is committed to fostering an accessible environment for students and actively offers office hours for discussions on research and academic guidance.
Cornell University • Ithaca, NY
Conducted advanced research in applied physics.
University of Texas at Austin • Austin, TX
Engaged in research focused on electrical and computer engineering.
Requirements are consistent for general engineering and computer science programs. Specific advanced master's (MBA/Energy) may require 1 year of professional experience.