KK
KAUSHIK KHATUA
Indian Institute of Technology Kharagpur, National Institute of Technology Jamshedpur, IIT Kharagpur, SRM Institute of Science and Technology, Marwadi University
0000-0002-7982-4162
About
Kaushik Khatua is a Ph.D. scholar at the Indian Institute of Technology (IIT) Kharagpur in the Department of Electronics and Electrical Communication Engineering. His research interests include machine learning–assisted VLSI design, low-power and area-optimized FSM synthesis, logic security, and evolutionary optimization techniques. He has over 8 years of academic and research experience, having served as an Assistant Professor, Ad-hoc Faculty, and Research Assistant at reputed institutions in India.
Employment
-
Indian Institute of Technology Kharagpur RESEARCH ASSISTANT2018 - 2021
-
National Institute of Technology Jamshedpur Ad-Hoc Faculty2016 - 2018
-
Marwadi University Assistant Professor2012 - 2016
Education
-
IIT Kharagpur Phd.2019 - Present
-
SRM Institute of Science and Technology Master of Technology2010 - 2012
-
College of Engineering and Management, Kolaghat Bachelor of Technology2005 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (23)
- Hybrid Adaptive Probabilistic Tabu Search Framework With Transformer-Model Surrogates and Attention Heatmaps for Accelerated Runtime and Combined Area–Power Efficient FSM State Encoding Save
- Low Power Optimization and Enhanced Predictive Accuracy Through the Integration of Gradient Boosting Decision Trees and Kernighan-Lin for Performance Evaluation in Sequential Circuits with Shapley Additive Explanations for Feature Analysis Save
- Performance evaluation for accelerated and efficient prediction of different regression models aggravated with BPSO for enhancing area efficiency through state encoding in sequential circuits Save
- Random Forest Regression Model Augmented With KL Algorithm (RFRKL) To Minimize Power In FSM Synthesis Save
- Low Power State Assignment of Sequential Circuits based on Binary Particle Swarm Optimization and Flip-Flop Selection Save
- Levenberg-Marquardt Backpropagation model augmented with Prim's algorithm approach (LMBP) to minimize power in FSM synthesis Save
- Levenberg-Marquardt Backpropagation model augmented with Prim's algorithm approach (LMBP) to minimize power in FSM synthesis Save
- Low Power State Assignment of Sequential Circuits based on Binary Particle Swarm Optimization and Flip-Flop Selection Save
- Random Forest Regression Model AugmenteD With KL Algorithm (RFRKL) To Minimize Power In FSM Synthesis Save
- A New Test Vector Reordering Technique for Low Power Combinational Circuit Testing Save