About
Ajay Kumar Kushwaha was born in 1986. He received his Doctor of Philosophy (Ph.D.) degree from the Department of Electronics Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India, in 2017. He received his B.E. degree from Indira Gandhi Govt. Engineering College Sagar in Electronics and Communication Engineering in 2009. In 2011, he received an M. Tech degree from S.G.S.I.T.S. Indore in Microelectronics and VLSI Design. He is currently an Assistant Professor in the Department of Electronics and Communication Engineering at Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India. He has worked at the Government Engineering College in Raipur, the SRITW Warangal, the SR Engineering College in Warangal, and the Medi-Caps Group of Institutions in Indore. He has a keen research interest in digital VLSI design, analog integrated circuits, chaotic circuits, and current mode building blocks, etc. He has published research papers in international SCI journals and international conferences. Dr. Kushwaha has successfully executed two research projects sponsored by agencies of the Government of India (NPIU-MHRD).
Employment
Employment history is unavailable.
Education
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Indian Institute of Technology Ph.D.2013 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (41)
- Face Recognition Smart Attendance System Save
- Reinforcement learning-based adaptive control strategies for sustainable production systems Save
- Tailored copper loading in rGO-Cu/graphene nanocomposites for flexible conductive e-textile Save
- IoT Based Multi-Parameter Environmental Monitoring System for Smart Cities Save
- AI-DRIVEN MATERIAL OPTIMIZATION IN ARCHITECTURAL IMAGE MODELLING: ENHANCI Save
- Design and Implementation of a Multiphase Sinusoidal Oscillator Using Ic Lt1228 Save
- Review on the Design of Meminductor Emulator Using Analog Building Blocks Save
- Design of Electronically Controlled FirstOrder Filter Using LT1228 IC Save
- Design of electronically tunable quadrature oscillator using IC LT1228 Save
- Leveraging AI, ML, and Deep Learning for Smart City Development and Disaster Risk Reduction Save