
Ph.D. (Chemical Engineering) — National Institute of Technology, Warangal, India (2019)
Thesis: Analytical design of control strategies for unstable time-delay systems
M.Tech. (Process Control & Instrumentation) — National Institute of Technology, Tiruchirappalli, India (2014)
B.Tech. (Chemical Engineering) — Andhra University, Visakhapatnam, India (2012)
Postdoctoral Research Fellow — Indian Institute of Technology Madras, Chennai (Nov 2020 – Apr 2021)
Postdoctoral Fellow, Process Data Analytics & Smart Automation Lab — University of Alberta, Edmonton, Canada (Mar 2022 – Jun 30, 2025)
Assistant Professor (Ad-hoc), Dept. of Chemical Engineering,
National Institute of Technology Andhra Pradesh, Tadepalligudem, India (Jul 2025 – Present)
Postdoctoral Fellow, Process Data Analytics & Smart Automation Lab,
University of Alberta, Edmonton, Canada (Mar 2022 – Jun 30, 2025)
– Worked with Prof. Biao Huang on reinforcement-learning-based process control, cyber-attack detection, and AI-driven optimization for refinery and pilot-scale units (FluidMechatronix, Ball-in-Tube, FCCU).
Assistant Professor (Ad-hoc), NIT Andhra Pradesh (Jul 2019 – Oct 2020; Jul 2021 – Mar 2022)
Postdoctoral Research Fellow, IIT Madras, Chennai (Nov 2020 – Apr 2021)
Reinforcement learning for process control;
model-based & data-driven control;
system identification;
industrial cybersecurity & anomaly detection;
AI/ML for smart manufacturing.
· Purushottama Rao Dasari, Lavanya Alladi, A. Seshagiri Rao and ChangKyoo Yoo, Enhanced design of cascade control systems for unstable processes with time delay, Journal of Process Control, 2016, 45, 43-54.
· Purushottama Rao Dasari, Raviteja K and A. Seshagiri Rao, Optimal H2 - IMC based PID controller design for multivariable unstable processes, IFAC-PapersOnLine, 2016, 617–622.
· Purushottama Rao Dasari and A. Seshagiri Rao, Enhanced dynamic set-point weighting design for two-input-two-output (TITO) unstable processes, Chemical Product and Process Modelling, 2019, 01-14.
· Purushottama Rao Dasari, Raviteja K and A. Seshagiri Rao, Simple PID tuning method for unstable time delay processes, IEEE Xplore, 2017, 403 – 408.
· Purushottama Rao Dasari, M. Chidambaram and A. Seshagiri Rao, Simple method of calculating dynamic set-point weighting parameters for time-delayed unstable processes, IFAC-PapersOnLine, 2018, 395–400.
· Raviteja K., Purushottama Rao Dasari, , A. Seshagiri Rao, Improved control design for two input two output unstable processes, Resource Efficient Technologies, 2016, 2, 76–86.
· Sheik, A.G., Sireesha, M., Kumar, A., Dasari, P.R., Patnaik, R., Bagchi, S.K., Ansari, F.A. and Bux, F. The role of industry 4.0 enabling technologies for predicting, and managing of algal blooms: Bridging gaps and unlocking potential. Marine Pollution Bulletin, 2025, 212, p.117-493.
· Malhar Barbhaya, Purushottama Rao Dasari, Seshu Kumar Damarla, Srinivasan Rajagopalan, Biao Huang, "Enhancing Cybersecurity in Industrial Control Systems: An Optimized TEDA-CNN Hybrid Model for Real-Time Detection and Classification, Computers and chemical engineering. 2025,109-278.
· Purushottama Rao Dasari, E. S. S. Tejaswini, Seshagiri Rao Ambati, "Development of Look-Up Table like Optimal H2 Robust Analytical PID Rules for Unstable Systems: Theory and Experimental Investigation," International Journal of Systems Science. (Accepted).
· Ponnada S. Chandra, G. Mahalakshmi Sree, M. Sireesha, and Purushottama Rao Dasari. “Human-Centric Validation of Reinforcement Learning–Based Control in Fluid Mechatronics: An Experimental Case Study.” Accepted for publication in Springer Nature Proceedings (2025).
· Gandroju M. Sree, M. Sireesha, M.S.P.K. Raju, R. Bonguluru, A.G. Sheik, and Purushottama Rao Dasari. “AI-Driven Prediction of Diwali Noise Pollution Using Deep and Reinforcement Learning.” Accepted for publication in Springer Nature Proceedings (2025).
· Purushottama Rao Dasari, Khush Harman Singh and Biao Huang, Reinforcement Learning for Autonomous Control -FluidMechatronix Experimental Demonstration, Journal of Process Control, Under Review.
· Purushottama Rao Dasari, Khush Harman Singh and Biao Huang, Integrating SINDy, Kalman Filtering, Object Tracking and MPC in the MIMO Ball-in-Tube Experiment, Submitted to Canadian Chemical Engineering (Under Review).
1. Canadian Chemical Engineering Conference (CSChE 2024)-Canada, Reinforcement Learning for Autonomous Control - FluidMechatronix Experimental Demonstration.
2. International Conference on Trends in Chemical, Energy and Environmental Engineering (ChemEEE-2024), Integrating SINDy, Kalman Filtering, Object Tracking and MPC in the MIMO Ball-in-Tube Experiment.
3. 4th IFAC International Conference on Advances in Control and Optimization of Dynamical Systems (ACODS), Optimal H2 - IMC based PID controller design for multivariable unstable processes.
4. Indian Control Conference (ICC), Optimal H2 IMC-based PID tuning Rules for unstable time delay processes.
5. International Conference on Advances and Challenges for Sustainable Eco Systems (ICACSE), Improved control design for two-input two-output unstable processes.
6. International Conference on New Frontiers in Chemical, Energy, and Environmental Engineering (INCEEE), Effect of enhanced dynamic set-point weighting design for cascade control systems with unstable processes.
UG:
CH 401 Process Dynamics & Control;
CH 440 Data-Driven Modeling;
CH 403 Instrumentation & Process Control Lab;
CH 305 Industrial Safety & Hazard Mitigation;
BT 352 Bioprocess Instrumentation & Control.