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.
Year : 2024
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
Year : 2024
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
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
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
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.
| 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 |
| SNo | Position | Class / Batch | Responsibility |
|---|---|---|---|
| 1. | Class Advisor | 2024 – 25 |
Undergraduate Courses Handled
Post-Graduate / PhD Courses Handled
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 |
