N. Rajasekhar
SASTRA University, CVR College Of Engineering - Ibrahimpatan Campus, National Institute of Technology Tiruchirappalli, Sri Venkateswara University
0000-0002-2721-6165
About
Dr. N. Rajasekhar is having strong foundation in instrumentation and control systems engineering, successfully completed his Ph.D. at the prestigious National Institute of Technology, Tiruchirappalli. Born on February 5, 1990, he has consistently demonstrated excellence across academics, teaching, and research, underpinned by a deep commitment to advancing knowledge in process control, machine learning, and reinforcement learning-based automation. His academic journey reflects a strong pursuit of knowledge. He holds a Bachelor’s degree in Instrumentation Engineering from SASTRA University and a Master’s degree (M. Tech.) from Sri Venkateswara university, where he graduated with an impressive 87.11%. His doctoral research is centered around applying cutting-edge deep reinforcement learning techniques for nonlinear process control. He has gathered rich teaching and research experience. He served as an Assistant Professor at CVR College of Engineering, Hyderabad (2015– 2016), followed by a role as a Research Assistant at SASTRA University (2018–2020). His experience in academia is complemented by the wide variety of undergraduate and postgraduate courses. He has taught, including control systems, robotics and automation, applied soft computing, electronic measurements, and applied soft computing. His research output is prolific and impactful. He has authored multiple peer reviewed journal articles in top-tier international publications such as Biotechnology and Bioengineering, International Journal of Dynamics and Control, and the International Journal of Hydrogen Energy. His work spans reinforcement learning, recurrent neural networks, and bio-hydrogen production, among others. He is also the recipient of a best oral presentation award at SusChemE 2.0 (ICT Mumbai, 2023) for his research on RL-based bioreactor control. Notable achievements include qualifying GATE multiple times with top ranks (797 in 2018), receiving the prestigious PRATHIBHA award from the Government of Andhra Pradesh. He has also served as a team captain for South Zone Inter-University Badminton competitions, showcasing his leadership and teamwork skills. Rajasekhar's technical toolkit is extensive, encompassing MATLAB (Control, Machine Learning, Deep Learning toolboxes) and Python (Anaconda)
Employment
-
SASTRA University Research Assistant2018 - 2020
-
CVR College Of Engineering - Ibrahimpatan Campus Assistant Professor2015 - 2016
Education
-
National Institute of Technology Tiruchirappalli Ph.D2020 - 2025
-
Sri Venkateswara University M.Tech (Instrumentation and Control Systems)2012 - 2015
-
SASTRA University B.Tech2007 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (8)
- Deep learning based modelling and control of a microbial electrolysis cell for enhanced bio hydrogen production Save
- Deep deterministic policy gradient reinforcement learning based temperature control of a fermentation bioreactor for ethanol production Save
- Exploring reinforcement learning in process control: a comprehensive survey Save
- Reinforcement learning based temperature control of a fermentation bioreactor for ethanol production Save
- Effective MPC strategies using deep learning methods for control of nonlinear system Save
- Application of recurrent neural networks for modeling and control of a <scp>quadruple‐tank</scp> system Save
- Decentralized multi-agent control of a three-tank hybrid system based on twin delayed deep deterministic policy gradient reinforcement learning algorithm Save
- Design of a Centralized PI Controller for Three-Tank Hybrid System Based on Optimization Methods Save