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Research Area:
Design and development of high-performance, energy-efficient hardware accelerators for deep learning models, targeting applications in computer vision, natural language processing, and intelligent edge systems
Nanoscale Device modeling and Simulation, Self-Heating study and Compact Modeling of Stacked Nanosheet Field Effect Transistor, Process Variation study on multigate transistors and multigate transistor studies for high-frequency applications.
Project
Project
1. Project Title: Study of self-heating effect on sub 7nm stacked nanosheet field effect transistor.
Funding Agency: DST (International Bilateral Cooperation Division)
Period: 2021-2024
2. Project Title: Design of Molybdenum Disulphide (MoS₂) Field Effect Transistor for Radio Frequency Applications
Funding Agency: DST-SERB
Period: 2017-2019
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