I received my PhD in Electrical Engineering (ECE) from Georgia Tech, Atlanta, where I developed lithiated-oxide based memristive devices for low-power neuromorphic systems enabling artificial intelligence (AI) at the edge. I hold a MS degree in Electrical Engineering (Microelectronics) from Virginia Tech, Blacksburg, and a Bachelors degree in Instrumentation and Electronics Engineering from Jadavpur University, Kolkata. I have previously interned with Apple's OLED incubation team on developing novel ways of active material deposition, and with the Product Engineering team at Maxim Integrated working on the yield improvement of a variety of analog and mixed signal chips. I am currently working with Apple's advanced display development team towards next-gen display products.
I completed my M.S. (thesis) in Electrical Engineering from the Bradley Department of Electrical and Computer Engineering at Virginia Tech, Blacksburg, VA, on Heteroepitaxial Germanium-on-Silicon Thin-films for Electronic and Photovoltaic Applications, with a perfect 4.0 GPA.
In these five years I have gained deeper understanding and hands-on experience in:
Device Physics: Advanced semiconductor device physics through coursework and research, especially for new generation neuromorphic computing, quantum computing, optoelectronic, photovoltaic and transistor applications
Characterization: Hands-on experience of device testing using C-V, I-V, EIS, Hall, QE. Experience in semiconductor material characterization using XPS, SIMS, Raman Spectroscopy, AFM, HRXRD analysis, TEM, EDS, etc.
Processing: Hands-on experience in semiconductor processing techniques for low dimensions, including surface treatment, photolithography, PVD, etching, etc.
Thin Film Deposition/Epitaxy: Experience in research and development of sputter deposition for LiNbO2 and LiPON thin films; MBE growth of III-V and Ge hetrostructures. Extensive experience in maintenance and repair of Veeco Gen-II MBE system.
In addition to my research and coursework, I have taught courses in Electrical Engineering and Physics departments at Virginia Tech, and helped undergraduate students build their understanding of electronic devices and circuits.
As a PhD student, I have been interested in working on low-dimensional systems and thin film heterostructures, and exploring the device physics of novel devices. At this critical juncture of the semiconductor industry reaching the fundamental limits of transistor scaling, I aligned my research goals with the investigation of post CMOS non Von-Neumann architectures in reconfigurable adaptive systems for Neuromorphic Computing.
I am motivated by challenging problem statements in semiconductor devices, and diligent in my pursuit for innovation and improved functionality. I anticipate a challenging career in research, and my strong fundamentals, perseverance and motivation will help me contribute to this transformative technology platform.
Contact: aheli303@gmail.com, 540-739-0062