Announcement:

Dr. Raju Yerolla

Assistant Professor

Department of Electrical and Electronics Engineering

Email: rajuyerolla@nie.ac.in
Phone No:
About Me:

My primary research interests lie in the areas of Control Systems, Process Automation, and Optimization, with a focus on advanced process control techniques such as Model Predictive Control (MPC) and Deep Reinforcement Learning (DRL). During my PhD at the National Institute of Technology Calicut, my research centered on developing intelligent control strategies for industrial processes. This research introduced innovative techniques to improve control performance and handle uncertainties in dynamic systems.

I am also deeply interested in the application of advanced control algorithms in energy systems and industrial decarbonization, aiming to enhance process efficiency and sustainability. My work extends to optimization techniques that improve the robustness of controllers in the presence of system uncertainties, and my current focus is on exploring how these strategies can be applied to emerging technologies in both the electrical engineering and process system engineering domains.
  • Ph.D (National Institute of Technology - Calicut)
  • M.Tech (Pondicherry Central University - Puducherry)
  • B.Tech (Vignana Bharathi Institute of Technology - Hyderabad
  • Assistant Professor
  • Suhailam, P., Yerolla, Raju. and Besta, C.S., 2024. Cloud of Things: Architecture and Industrial Applications. In Cloud of Things (pp. 1-17). Chapman and Hall/CRC.
  • Yerolla, Raju., P, S. and Besta, C.S., 2024. Advanced temperature control in ethanol fermentation using a PSO-PID controller with split-range control strategy. Preparative Biochemistry & Biotechnology, pp.1-13.
  • Yerolla, Raju., Suhailam, P. and Besta, C.S., 2024. A new analytical method for designing centralised PI controllers for unstable systems using a direct synthesis approach. International Journal of Systems Science, pp.1-17.
  • Yerolla, Raju., Suhailam, P., Ghodke, P.K. and Bestha, C.S., 2023. Filtration Process. In Advanced Computational Approaches for Water Treatment (pp. 169-182). CRC Press.
  • Yerolla, Raju., Nekkanti, S.H., Pullanikkattil, S. and Besta, C.S., 2023. Modeling and Control of Beer Fermentation for Optimal Flavor and Performance. Chemical Engineering & Technology, 46(8), pp.1554-1565.
  • Verma, R., Yerolla, Raju., Suhailam, P. and Besta, C.S., 2023. Application of Artificial Intelligence (AI) and the Internet of Things (IoT) in process industries toward Industry 4.0. In Internet of Things in Modern Computing (pp. 13-36). CRC Press.
  • Suhailam, P., Yerolla, Raju. and Besta, C.S., 2023, May. Modeling and advanced control strategies for the beer fermentation process. In 2023 International Conference on Control, Communication and Computing (ICCC) (pp. 1-6). IEEE.
  • Varun, S., Yerolla, Raju., Chandran, A.M., Besta, C.S., Varghese, L.A. and Mural, P.K.S., 2023. Molecular dynamics simulations and theoretical modeling studies of fluoropolymer nanocomposites. In Advanced Fluoropolymer Nanocomposites (pp. 787-807). Woodhead Publishing.
  • Verma, R., Yerolla, Raju. and Besta, C.S., 2022, February. Deep learning-based fault detection in the Tennessee Eastman process. In 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS) (pp. 228-233). IEEE.
  • Yerolla, Raju., Ghodke, P.K. and Bestha, C.S., 2022. Computational Study of Retort Processing. In Advanced Computational Techniques for Heat and Mass Transfer in Food Processing (pp. 275-298). CRC Press.
  • Yerolla, Raju., Muhammed, R.C., Naseef, Y. and Besta, C.S., 2022. Simulation of cryogenic distillation of atmospheric air using aspen hysys. IFAC-PapersOnLine, 55(1), pp.860-865.
  • Yerolla, Raju., KM, M.M., Roy, N., Harsha, N.S., Ganesh, M.P.P. and Besta, C.S., 2022. Beer fermentation modeling for optimum flavor and performance. IFAC-PapersOnLine, 55(1), pp.381-386.
  • Yerolla, Raju, and Besta, C.S., 2021. Development of tuning free SISO PID controllers for First Order Plus Time Delay (FOPTD) and First Order Lag Plus Integral Plus Time Delay model (FOLIPD) systems based on partial model matching and experimental verification. Results in Control and Optimization, 5, p.100070.
  • Yerolla, Raju. and Bestha, C.S., 2021, May. PI/PID controller design for critically damped SOPTD system and experimental validation. In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 531-535). IEEE.
  • Besta, C.S., Kulshreshtha, S. and Yerolla, Raju., 2019, November. Going through the Disruptive Transformations in Chemical Industrial Practices: Impact of Expert Systems and Artificial Intelligence on Automation and Decision Making. In 2019 AIChE Annual Meeting. AIChE.

2024-25- Monsoon – Industrial Automation