Ph.D.Electrical Engineering,North Carolina State University,Raleigh, NC, USA,2006 M.S.Electrical Engineering,North Carolina State University,Raleigh, NC, USA,2003 B.Tech. Electrical Engineering,Indian Institute of Technology (IIT),Kharagpur, India,2000
Research and Practice Interests
Advanced nanoscale CMOS devices, high-k/metal gates, nanoelectronics, neuromorphic computing, spintronics, hardware-security, energy harvesting, flexible-transparent electronics, nano/microfabrication, electrical characterization, device modeling, logic and memory devices, neuroelectronics and neuroengineering platforms.
Dr. Rashmi Jha is an Associate Professor in Electrical Engineering and Computing Systems Department at the University of Cincinnati. She worked as an Assistant Professor and then Associate Professor in Electrical Engineering and Computer Science Department at the University of Toledo from 2008 to 2015. Before this, she worked as a Process Integration Engineer for 45 nm/32 nm High-k/Metal Gates based Advanced CMOS technology at Semiconductor Research and Development Center, IBM, East Fishkill New York between 2006-2008. She finished her Ph.D. and M.S. in Electrical Engineering from North Carolina State University in 2006 and 2003, respectively, and B.Tech. in Electrical Engineering from Indian Institute of Technology (IIT) Kharagpur, India in 2000. She has more than 13 years of experience in the areas of Solid State Electronic/Nanoelectronic Device Fabrication, Electrical Characterization, Data Analysis, and Device Modeling. She has been granted 12 US patents and has authored/co-authored several publications in the areas of nanoelectronic devices. She has been a recipient of CAREER Award from the National Science Foundation in 2013, IBM Faculty Award in 2012, IBM Invention Achievement Award in 2007, Materials Research Society's Graduate Student Award in 2006, Applied Materials Fellowship Award in 2005-2006, and the best student paper award nomination in IEEE International Electron Devices Meeting (IEDM) in 2005. Her current research interests lie in the areas of Nanoelectronic Devices Enabled Future Neuromorphic Computing Systems, Resistive Random Access Memory Devices and other Emerging Memory and Logic Devices, Spintronics, Neuroscience and Cognitive Modeling, Neuroelectronics, Emerging Nanoscale Devices Enabled Cyber-Security Systems, Flexible/Invisible Logic and Memory Devices for Wearable Computing, Solid Oxide Battery Devices, and Energy Harvesting Devices.