Pramey Upadhyaya

Pramey Upadhyaya is an Assistant Professor of Electrical and Computer Engineering at Purdue University. Before joining Purdue, Pramey was a postdoctoral scholar in the Physics and Astronomy Department, University of California Los Angeles, working under the mentorship of Prof. Yaroslav Tserkovnyak. He earned his bachelor’s degree in Electrical Engineering from the Indian Institute of Technology Kharagpur, India, in 2009, and Master’s and PhD degrees in Electrical Engineering from the University of California, Los Angeles, in 2011 and 2015, respectively. During his PhD, he was a resident theorist in the experimental group (Device Research Laboratory) led by Prof. Kang Wang.
His research has explored the theory of classical and quantum spintronic phenomenon and their device applications, enabled by electrical and thermal control of magnetism. Along with his teammates, this work has resulted in one of the earliest demonstrations of current-induced room-temperature skyrmion manipulations, spin torque switching by topological surface states and NV-center probing of spin-caloritronics. These works have resulted in over 30 publications in journals including Science, Physical Review Letters, Nature Nanotechnology, Nature Materials and Nature Communications with an H-index of 24.
He is a recipient of an NSF Career award (2020), a Qualcomm Innovation Fellowship (2013) and an Intel Summer Fellowship (2011).

Filter Courses within "Pramey Upadhyaya" (Click to filter)
Applied Quantum Computing III: Algorithm and Software (edX) EdX
Purdue University,PurdueX

Applied Quantum Computing III: Algorithm and Software (edX)

Dive into the world of quantum computing with 'Applied Quantum Computing III: Algorithm and Software'. This course is the third part in a series designed to equip you with a deep understanding of quantum algorithms and software development. You'll explore domain-specific quantum algorithms, exploiting fundamental quantum phenomena like entanglement for practical applications. Get ready to run these algorithms on present-day quantum hardware and expand your expertise in this cutting-edge field.

Mar 25th 2024
5-12 Weeks
Applied Quantum Computing II: Hardware (edX) EdX
Purdue University,PurdueX

Applied Quantum Computing II: Hardware (edX)

Dive deep into the fascinating realm of quantum computing with Applied Quantum Computing II: Hardware, a specialized course offered by edX. This course is designed for learners who have a foundational understanding of quantum mechanics and wish to explore how these principles are applied in real-world hardware platforms. Learn about the various material platforms used in quantum information processing and understand the challenges associated with each.

Feb 12th 2024
5-12 Weeks
Page 1