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School of Aerospace Engineering

Dr. Krishnamoorthy Ramalingam
Senior Lecturer

Dr. Krishnamoorthy Ramalingam

School of Aerospace Engineering, Universiti Sains Malaysia

Office: Room 1.15 | Mobile: +60 1160893456 / +91 9698922334 | Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Research Background

Dr. Krishnamoorthy Ramalingam is a Senior Lecturer in the School of Aerospace Engineering at Universiti Sains Malaysia. His research integrates machine learning, renewable fuels, and advanced electronics packaging, focusing on sustainable energy systems and intelligent semiconductor reliability. He has accumulated over 10 years of combined experience in teaching, research, and industry, including a Postdoctoral Fellowship at USM on Machine Learning Integration for Electronics Packaging and Biofuel. His work bridges mechanical and aerospace engineering with data-driven sustainability, aiming to accelerate the transition toward cleaner fuels and smarter electronic systems. Dr. Ramalingam’s research group explores AI-driven optimization, biofuel synthesis, and semiconductor warpage prediction, contributing to both energy and electronics sectors. His interdisciplinary approach connects computational intelligence, experimental validation, and environmental sustainability.

Core Research Focus Areas

  • Machine Learning in Renewable Energy Systems: Predictive modeling, optimization, and performance evaluation of biofuels and hybrid engines.
  • AI-Driven Semiconductor Processing: Reliability analysis, warpage measurement, and advanced 3D integration for next-generation electronics packaging.
  • Sustainable Aviation and Hydrogen Fuels: Combustion modeling, emission reduction, and clean-energy integration for aerospace applications.
  • Intelligent Materials and Energy Systems: Nano-enhanced fuels, semiconductor materials for hydrogen production, and smart energy conversion.

Achievements & Recognition

  • Academic Editor: PLOS One (Sustainable Fuel, Biofuel, Machine Learning & ANN).
  • Early Career Editorial Board Member: MDPI Sustainability.
  • Certificate of Recognition for Q1 Publications: Anna University (2022–2023).
  • Published 40+ Q1 Journals with cumulative citations exceeding 1000 (WoS).

Recent Publications (Highlights)

1.
Ramalingam, K. (2026). AI-driven optimization and engine evaluation of Palmyra biodiesel synthesized via cobalt chromite catalysis. Energy Conversion and Management, 352, 121100. (Elsevier, IF 10.9)
2.
Ramalingam, K., Aziz, M.S.A., Wong, Y.J., Abdullah, M.Z. and Govindasamy, M. (2026). Sustainable evaluation of neem–emulsified waste–derived biofuel using interpretable machine learning. Sustainable Energy Technologies and Assessments, 87, 104907. (Elsevier, IF 7.0)
3.
Ramalingam, K., Elumalai, P.V., Senthur, N.S., Chan, C.K., Mahender, M., Ritthong, W. and Saleel, C.A. (2026). Synergistic effects of ammonia and duckweed bio‐oil water emulsion in an RCCI engine: Experimental and ANN‐based validation. Environmental Progress & Sustainable Energy, e70364. (Wiley, IF 2.3)
4.
Ramalingam, K., Abdullah, M.Z. (2025). Semiconductor Wafer Warpage in Electronics Packaging: A Hybrid Investigation with ML and Experimental Insights. The International Journal of Advanced Manufacturing Technology, Accepted. (Springer, IF 3.9)
5.
Ramalingam, K., Abdullah, M.Z., Elumalai, P.V., Yong, X., Prasad, K.S., Chan, C.K., Prabhakar, S. and Yuqi, B. (2025). An evaluation of maximizing production and usage of biofuel by machine learning and experimental approach. Scientific Reports, 15(1), 33265. (Springer, IF 3.9)
6.
Ramalingam, K., Abdullah, M.Z., Elumalai, P.V., Vellaiyan, S., Muralikrishna, C., Jin, Z. and Hasan, N. (2025). Artificial neural network-based optimization of engine performance using domestic biomass as a clean fuel. Scientific Reports, 15(1), 32724. (Springer, IF 3.9)
7.
Ramalingam, K., Abdullah, M.Z., Elumalai, P.V., Sangeetha, A., Yong, X., Hasan, N. and Shangzhi, W. (2025). An assessment of optimizing biofuel yield percentage using K-fold integrated machine learning models for a sustainable future. PLoS ONE, 20(8), e0328880. (PLoS ONE, IF 2.6)
8.
Ramalingam, K., Abdullah, M.Z., Elumalai, P.V., Reddy, M.V., Yafang, Y., Prabhakar, S. and Kamakshi Priya, K. (2025). Production and utilization of hydrogen enriched fifth generation biofuel in LTC engines with reformed EGR. Scientific Reports, 15(1), 25922. (Springer, IF 3.9)
9.
Ramalingam, K., Muralidharan, K., Ganesan, S., Suresh, V., Yuvarajan, D., Davannendran, C., & Revathi, R. (2024). Energy, Environmental, and Economic Benefits of Hydrogen-Enriched Biofuel Using Ammonium Hydroxide in Reactivity-Controlled Compression Ignition Engines. Results in Engineering, 103672. (Elsevier, IF 7.9)
10.
Ramalingam, K., Suresh, V., Beemkumar, N., Pramod Kumar, F., Davannendran, C., & Revathi, R. (2024). An experimental and ANN analysis of ammonia energy integration in biofuel powered low-temperature combustion engine to enhance cleaner combustion. Case Studies in Thermal Engineering, 63, 105284. (Elsevier, IF 6.4)
11.
Ramalingam, K., Suresh, V., Muralidharan, K., Davannendran, C., & Revathi, R. (2024). An experimental study and ANN analysis of utilizing ammonia as a hydrogen carrier by real-time emulsion fuel injection to promote cleaner combustion. Results in Engineering, 21, 101946. (Elsevier, IF 7.9)
12.
Vellaiyan, S., Davannendran, C., Ravikumar, V., Ramalingam, K., Raghunatha, R., & Revathi, R. (2024). Maximizing waste plastic oil yield and enhancing energy and environmental metrics through pyrolysis process optimization and fuel modification. Results in Engineering, 102066. (Elsevier, IF 7.9)

Education Background

Postdoctoral Fellowship (2024–2026)
Machine Learning Integration for Electronics Packaging & Biofuel
Universiti Sains Malaysia, Malaysia
Ph.D. in Mechanical Engineering (2021)
Madras Institute of Technology, Anna University, Chennai
M.E. in Internal Combustion Engines (2016)
Anna University, Villupuram
B.E. in Mechanical Engineering (2013)
MNM Jain Engineering College, Anna University, Chennai

Expertise Areas

Machine Learning & AI Biofuels & Renewable Energy Electronics Packaging Semiconductor Reliability Sustainable Aviation Fuels Hydrogen Energy Systems Combustion Modeling & ANN Wafer Warpage Prediction

Profiles & Direct Identifiers

Google Scholar View Citation Metrics
Scopus Author ID 57307229100
Web of Science ABJ-1432-2022
ResearchGate View Profile
Alternate Email This email address is being protected from spambots. You need JavaScript enabled to view it.
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