معرفی
Avik Ghosh is a Professor of Electrical and Computer Engineering at the University of Virginia's School of Engineering and Applied Science. He received his Ph.D. from Ohio State University in 1999 and leads the Virginia Nano-Computing Research Group (ViNo) at UVA. His research spans theoretical condensed matter physics with applications in nanoelectronics, quantum transport, and beyond-CMOS computing paradigms.
Professor Ghosh's research interests focus on understanding non-equilibrium properties of nano-scale material structures. His group applies a combined understanding of fundamental physics, chemistry, material science, and device engineering to explore novel device concepts. Key research areas include quantum transport in strongly correlated systems, tunnel-transistors and Klein tunnel switches, Dirac Cone systems (Graphene, Bilayer Graphene, Topological Insulators), nanomagnetic memory and logic, and nanoscale thermal flow. His work connects emerging materials with novel devices toward innovative circuit and architecture design using tools from 'first principles' models to quantum transport to compact models.
His recent publications reveal a strong focus on quantum transport phenomena, thermal management at nanoscale interfaces, and spin-based computing. The research demonstrates expertise in combining theoretical modeling with practical device applications, particularly in topological materials, Heusler alloys, and 2D materials systems. His work often involves sophisticated computational approaches including density functional theory and non-equilibrium Green's function methods.
- IOP Fellow (since 2011)
- Top-10 breakthrough research of 2016, Physics World
- Physical Review B paper in Editor's Suggestion (2016)
- All University Teaching Award (2013)
- IBM Faculty Award (2011)
- NSF CAREER award (2008)
Professor Ghosh has secured significant research funding including a $3.4 million DARPA grant for shrinking computing memory. His Virginia Nano-Computing Research Group maintains strong collaborations across disciplines, connecting fundamental physics with practical engineering challenges in next-generation electronics. The group actively utilizes high-performance computational resources and develops numerical algorithms to advance understanding of nanoscale science and engineering.
