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Dr. Kruthika U.

Assistant Professor (OC), Department of Electrical and Electronics Engineering, School of Engineering, Bengaluru

Qualification: M. E., B. E.
u_kruthika@blr.amrita.edu
ORCID ID
Scopus Author ID
Research Interest: Control Systems, Process Control, Artificial Intelligence, and Boiler Turbine Systems

Bio Publications Qualification Courses Taught Student Guidance
Bio

Dr. Kruthika U. is an Assistant Professor in the Department of Electrical and Electronics Engineering (EEE), Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru campus. She joined Amrita School of Engineering in 2024. She defended her Ph.D. thesis on May 4, 2026, at Amrita Vishwa Vidyapeetham, Bengaluru campus.

She completed her B.Tech. in Electronics and Instrumentation Engineering from St. Joseph’s College of Engineering in 2017 and her M.Tech. in Instrumentation Engineering from MIT, Chennai, in 2019. Her research interests include control systems, process control, artificial intelligence, reinforcement learning, bio-inspired optimization, and boiler–turbine systems. Her research focuses on developing intelligent control strategies and optimization techniques for complex industrial processes.

Publications

Journal Article

Year : 2026

Adaptive Proportional Integral Derivative Controller Optimization using Bio-inspired Metaheuristics for Enhanced Boiler-Turbine Dynamics

Cite this Research Publication : , U. Kruthika, Surekha Paneerselvam, , Adaptive Proportional Integral Derivative Controller Optimization using Bio-inspired Metaheuristics for Enhanced Boiler-Turbine Dynamics, Engineered Science, Engineered Science Publisher, 2026, https://doi.org/10.30919/es2095

Publisher : Engineered Science Publisher

Year : 2025

Novel multiagent reinforcement learning framework using twin delayed deep deterministic policy gradient for adaptive PID control in boiler turbine systems

Cite this Research Publication : U. Kruthika, Surekha Paneerselvam, Novel multiagent reinforcement learning framework using twin delayed deep deterministic policy gradient for adaptive PID control in boiler turbine systems, Scientific Reports, Springer Science and Business Media LLC, 2025, https://doi.org/10.1038/s41598-025-17928-9

Publisher : Springer Science and Business Media LLC

Year : 2025

Enhanced set-point tracking in a Boiler Turbine System via decoupled MIMO linearization and comparative LQR-based control strategy

Cite this Research Publication : U. Kruthika, Surekha Paneerselvam, Enhanced set-point tracking in a Boiler Turbine System via decoupled MIMO linearization and comparative LQR-based control strategy, Results in Engineering, Elsevier BV, 2025, https://doi.org/10.1016/j.rineng.2025.103914

Publisher : Elsevier BV

Conference Paper

Year : 2025

Energy Consumption Prediction in Wireless Sensor Networks Using Swarm Intelligence Algorithms

Cite this Research Publication : Bonda Tanmayi, Divyasri C, Syama S, Kruthika U, Energy Consumption Prediction in Wireless Sensor Networks Using Swarm Intelligence Algorithms, 2025 2nd Asian Conference on Intelligent Technologies (ACOIT), IEEE, 2025, https://doi.org/10.1109/acoit66109.2025.11436742

Publisher : IEEE

Year : 2025

Bio-Inspired Trajectory Optimization for Indoor Mobile Robots: A Comparative Study of Grey Wolf Optimizer and Sparrow Search Algorithm in MPC Frameworks

Cite this Research Publication : Madhav Menon, Aakash Aditya S., Syama S., Kruthika U., Bio-Inspired Trajectory Optimization for Indoor Mobile Robots: A Comparative Study of Grey Wolf Optimizer and Sparrow Search Algorithm in MPC Frameworks, 2025 International Conference on Intelligent Computing, Information and Control Systems (ICOIICS), IEEE, 2025, https://doi.org/10.1109/icoiics67115.2025.11390117

Publisher : IEEE

Year : 2024

Optimal PID tuning for Solar tracking system using Bio-inspired Algorithms

Cite this Research Publication : Varikuti Sai Soumya Reddy, Kruthika, U. and Paneerselvam, S., 2024. "Optimal PID tuning for Solar tracking system using Bio-inspired Algorithms," 2nd International Conference on Trends in Sustainable Computing and Machine Intelligence, pp. 24-40, Springer.

Publisher : Springer

Year : 2018

Smart Wearable Systems for Personal Care with Internet of Things

Cite this Research Publication : Karthicraja, V.M., Prasad, V.K., Kruthika, U. and Sivakumar, R., "Smart Wearable Systems for Personal Care with Internet of Things," In 2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII) (pp. 206-212). IEEE. 2018, March. DOI: 10.1109/ICBSII.2018.8524612

Publisher : IEEE

Conference Proceedings

Year : 2024

A Hybrid Linear Quadratic Regulator-Based Control Strategy for Multivariable Boiler Turbine System

Cite this Research Publication : Kruthika U, Surekha P, A Hybrid Linear Quadratic Regulator-Based Control Strategy for Multivariable Boiler Turbine System, 2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC), IEEE, 2024, https://doi.org/10.1109/icmnwc63764.2024.10871957

Publisher : IEEE

Year : 2024

A Reinforcement Learning Framework for Control of Two-Tank Interacting System Using PID Controller

Cite this Research Publication : U. Kruthika, Swetha Ankireddy, Govardhan Subudhi, Meghna Baruwa, Surekha Paneerselvam, A Reinforcement Learning Framework for Control of Two-Tank Interacting System Using PID Controller, 2024 6th International Conference on Electrical, Control and Instrumentation Engineering (ICECIE), IEEE, 2024, https://doi.org/10.1109/icecie63774.2024.10815694

Publisher : IEEE

Year : 2023

Improved Adaptive PSO-based Gain Tuning for PID Controllers in Utility Boilers

Cite this Research Publication : Kruthika, U. and Paneerselvam, S., "Improved Adaptive PSO-based Gain Tuning for PID Controllers in Utility Boilers," Procedia Computer Science, 230, pp.183-192, 2023 DOI: https://doi.org/10.1016/j.procs.2023.12.073

Publisher : Procedia Computer Science

Year : 2023

Enhancing Boiler-Turbine Trajectory Tracking with LQR-Optimized PID Control Strategy

Cite this Research Publication : Kruthika, U. and Paneerselvam, S., "Enhancing Boiler-Turbine Trajectory Tracking with LQR-Optimized PID Control Strategy," In 2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET) (pp. 1-7). IEEE, November 2023. 

Publisher : IEEE

Qualification
  • 2020: Ph. D. pursuing (Electrical and Electronics Engineering)
    Area: Control systems
    From: Amrita Vishwa Vidyapeetham, Department of Electrical and Electronics Engineering, School of Engineering, Bengaluru, India
  • 2019: M. E.
    Area: Instrumentation engineering
    From: Madras institute of technology, Tamilnadu, India.
  • 2017: B. E.
    Specialization: Electronics and Instrumentation Engineering Department
    From: Josephs college of engineering, Anna University, Tamilnadu, India
Courses Taught
Subject Code Subject Title
23ELC114 Computer programming
23ELC211 Operating Systems
22AIE114 Introduction to Electrical and Electronics Engineering
19EEE311 Software-Based Solutions for Electrical Engineering
23EEE201 Signals and Systems
23ELC363 Cloud Computing
23ELC101 Problem Solving and Algorithmic Thinking
23EEE184 Basic Electrical and Electronics Engineering Practice
23EEE301 Digital Signal Processing
23ELC204 Computer Architecture
Student Guidance

Undergraduate Projects — Current

Project Title: Adaptive Predictive Fault Analysis and Control of Distributed Energy Systems

  • Aakrit Vikash — BL.EN.U4ELC23004
  • Sanath Krishna — BL.EN.U4ELC23021
  • Srilashmii Veeraraghavan — BL.EN.U4ELC23024

Postgraduate Project — Current

Student: Logesh L — BL.EN.P2EBS25010

Project Title: A Low-Cost Reinforcement Learning-Based AGV Navigation System with Interactive Digital Mapping and Real-Time Dynamic Route Reconfiguration

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