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Dr. Resma Madhu P. K.

Assistant Professor, Department of Electronics and Communication Engineering, School of Engineering, Coimbatore

Qualification: M.Tech., Ph.D
pk_resmamadhu@cb.amrita.edu
Research Interest: Process control& Machine Learning
Date of Joining: 05/08/2025

Bio Publications Professional Experience Academic Responsibilities Courses Handled Developmental Activities
Bio

Dr. Resma Madhu P.K. is an academic and research professional specializing in Machine Learning, Data Science, and Industrial Process Control. With a Ph.D. in Machine Learning Techniques for Process Control from SASTRA Deemed University, she brings expertise in predictive modeling and adaptive control strategies for industrial applications. Her doctoral research focused on innovative techniques to predict and manage fouling in industrial heat exchangers.Her contributions include delivering courses on Artificial Intelligence, Machine Learning, and Process Control Engineering for undergraduate and postgraduate students.

An accomplished author, Dr. Resma has multiple SCI-indexed journal publications and conference papers, with her work recognized in machine learning-based adaptive control strategies and fouling prediction in industrial processes. She is involved in research that includes AI-based solutions for dyslexia assessment.Her technical expertise encompasses data-driven modeling, control system optimization, and sensor fusion techniques. With a passion for continuous learning, Dr. Resma has participated in faculty development programs and presented research at national conferences.Dr. Resma’s professional journey reflects a commitment to fostering innovation in industrial process control and ML techniques, contributing to academia, and mentoring the next generation of engineers.

Qualification

  • 2024 : Ph. D., Machine Learning Techniques for Control Engineering
    SASTRA Deemed University
  • 2013 : M.Tech.Instrumentation and Control Engineering,
    University of Calicut
  • Qualified GATE – 2010 (MTech Fellowship)
  • Junior Research Fellow: ISRO Funded Project / Institute Fellowshi
Publications

Journal Article

Year : 2024

ML Guided Dual EKF for fouling prediction in an industrial heat exchanger

Cite this Research Publication : Resma Madhu P.K., Jayalalitha Subbaiah, ML Guided Dual EKF for fouling prediction in an industrial heat exchanger, Korean J. Chem. Eng., (SCI Indexed Journal) (IF:2.7)
DOI: https://doi.org/10.1007/s11814-024-00128-y

Publisher : Korean J. Chem. Eng

Year : 2023

Fouling Severity Classification in Industrial Heat Exchanger using Probabilistic Neural Network

Cite this Research Publication : Resma Madhu P.K., Jayalalitha Subbaiah, Athish. R.S, Fouling Severity Classification in Industrial Heat Exchanger using Probabilistic Neural Network, Presented at International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM) (SCOPUS Indexed)
DOI:DOI:10.1109/iTechSECOM59882.2023.10435326

Year : 2022

Iterative Quality Weighted Interpolation for LPV-MPC control of Industrial Heat Exchanger under varying Fouling Conditions

Cite this Research Publication : Resma Madhu P. K., Jayalalitha Subbaiah, Iterative Quality Weighted Interpolation for LPV-MPC control of Industrial Heat Exchanger under varying Fouling Conditions, Asia-Pac J. Chem. Eng. 2022; 17(4):e2811 (SCI Indexed Journal) (IF: 1.8)
DOI:https://doi.org/10.1002/apj.2811

Publisher : Asia-Pac J. Chem. Eng.

Year : 2021

RF-LSTM-based method for prediction and diagnosis of fouling in heat exchanger

Cite this Research Publication : Resma Madhu P.K., Jayalalitha Subbaiah, Kannan Krithivasan. RF-LSTM-based method for prediction and diagnosis of fouling in heat exchanger. Asia-Pac J. Chem. Eng. 2021; 16( 5):e2684. (SCI Indexed Journal) (IF: 1.8)
DOI: https://doi.org/10.1002/apj.2684

Publisher : Asia-Pac J. Chem. Eng.

Conference Paper

Year : 2024

Investigation of Various Data-Driven Modelling Techniques for an Industrial Heat Exchanger

Cite this Research Publication : Resma Madhu P.K., Jayalalitha Subbaiah, Investigation of Various Data-Driven Modelling Techniques for an Industrial Heat Exchanger, presented at 8th International Conference on Data Management, Analytics & Innovation (ICDMAI-23) (SCOPUS Indexed)
DOI: https://doi.org/10.1007/978-981-97-3242-5_38

Professional Experience
Position Organization Period Domain
Assistant Professor Amrita Vishwa Vidyapeetham 2024 Aug onwards Teaching, Research and Projects
Assistant Professor PSG Institute of Technology and Applied Research, Coimbatore 2023-2024 Teaching, Research and Projects
Research Assistant SASTRA Deemed to be University 2018-2023 Teaching, Research and Projects
Guest Lecturer Vidya Academy of Science & Technology 2014-2015 Teachingand Projects
Academic Responsibilities
SNo Position Class / Batch Responsibility
1. Class Advisor 2024 – 25  
Courses Handled

Undergraduate Courses Handled

  1. Artificial Intelligence and Machine Learning
  2. Circuit theory
  3. Control systems
  4. Communication systems

Post-Graduate / PhD Courses Handled

  1. Intelligent instrumentation
  2. Multi-sensor fusion techniques
Developmental Activities

Research Laboratories – Developed / Associated

Location Name and Year Sponsoring Agency Domain No. of Publications No. of Funded projects No. of PG / PhDs
E-306, AB-II Machine Intelligence Lab (2010) NPMASS Signal Processing 5 2 PG:6 PhD:5

Products Developed

SNo Product Name / Domain Description Resource Industry if any
1. EMI Shield   UG/PG Projects  
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