Dr. Denesh Sooriamoorthy | Engineering and Technology | Best Researcher Award

Senior Lecturer at Asia Pacific University of Technology & Innovation (APU), Malaysia

Ir. Ts. Dr. Denesh Sooriamoorthy is a dynamic early-career researcher and Senior Lecturer at the Asia Pacific University of Technology & Innovation (APU), Malaysia. With a Ph.D. in Engineering from the University of Nottingham, his research expertise spans electric vehicle battery systems, biomedical signal processing, artificial intelligence, and robotics. Despite having only three years of post-PhD experience, Dr. Denesh has already published over 25 Scopus-indexed papers—including five in Q1 journals—authored and edited academic books, and secured research funding exceeding RM775,000. He maintains an impressive citation record (h-index of 9 on Google Scholar and 8 on Scopus) and actively supervises multiple postgraduate students. His work bridges academia and industry through innovative projects and collaborative initiatives, reflecting a commitment to impactful, interdisciplinary research.

Professional Profile 

• Google Scholar
• ORCID Profile
• Scopus Profile

🎓 Education of Denesh Sooriamoorthy

Dr. Denesh Sooriamoorthy has a strong academic foundation rooted in engineering and education. He earned his Ph.D. in Engineering from the prestigious University of Nottingham in 2022, where he focused on cutting-edge research in biomedical systems and intelligent technologies. Prior to that, he completed his Master of Engineering (MEng Hons.) in Mechatronic Engineering, graduating with First Class Honours from the same university in 2016. To further enhance his academic and pedagogical skills, he obtained a Postgraduate Certificate in Teaching and Learning from Taylor’s University Malaysia in 2022. His academic journey reflects a commitment to both technical excellence and educational innovation.

💼 Professional Experience of Denesh Sooriamoorthy

Dr. Denesh Sooriamoorthy has rapidly built a distinguished professional career in academia and research. He is currently serving as a Senior Lecturer at the Asia Pacific University of Technology & Innovation (APU) since September 2023, where he contributes to teaching, research, and postgraduate supervision. Prior to this role, he was a Lecturer and Work-Based Learning (WBL) Coordinator at Taylor’s University Malaysia from January 2021 to August 2023. In these roles, Dr. Denesh played a vital part in integrating industry-driven education models and advancing applied research initiatives. His experience also includes mentoring students, managing interdisciplinary projects, and fostering academic-industry partnerships—showcasing a strong blend of leadership, innovation, and academic excellence at an early stage of his career.

🔬 Research Interests of Denesh Sooriamoorthy

Dr. Denesh Sooriamoorthy’s research interests lie at the intersection of engineering intelligence, biomedical systems, and sustainable technologies. He is particularly focused on electric vehicle battery management systems, with a specialization in state of charge estimation using machine learning and neural networks. His work also delves into biomedical signal processing, notably the use of electrical impedance models for non-invasive cardiovascular diagnostics. In addition, Dr. Denesh is actively engaged in robotics, artificial intelligence, and multi-agent systems, aiming to solve real-world problems through smart automation and predictive analytics. His interdisciplinary approach integrates AI, mechatronics, and embedded systems, driving innovations in healthcare, energy storage, and intelligent transportation.

🏆 Awards and Honors of Denesh Sooriamoorthy

Dr. Denesh Sooriamoorthy has garnered notable recognition for his impactful contributions to research and academia. While still in the early stages of his career, he has successfully secured multiple prestigious research grants totaling over RM775,000 from renowned bodies such as CREST, MRANTI, Katapult Asia, and APU RDIG, reflecting trust in his innovative capabilities and leadership potential. His publications in high-impact Q1 journals, coupled with active roles in book authorship and editorial contributions, further underscore his academic excellence. In addition, his appointment as Work-Based Learning (WBL) Coordinator at Taylor’s University highlights institutional acknowledgment of his educational leadership. These achievements position Dr. Denesh as a promising and respected figure in the engineering and research community.

🧾 Conclusion

Ir. Ts. Dr. Denesh Sooriamoorthy is highly suitable for the Best Researcher Award (Early-Career Category). His rapid research productivity, Q1 journal contributions, funding success, and graduate supervision demonstrate excellence in research, academic leadership, and industry engagement.

📚 Publications Top Noted

1. Title: Artificial Neural Networks, Gradient Boosting and Support Vector Machines for Electric Vehicle Battery State Estimation: A Review
   Authors: A. Manoharan, K.M. Begam, V.R. Aparow, D. Sooriamoorthy
   Year: 2022
   Citations: 227
2. Title: Electric Vehicle Battery Pack State of Charge Estimation Using Parallel Artificial Neural Networks
   Authors: A. Manoharan, D. Sooriamoorthy, K.M. Begam, V.R. Aparow
   Year: 2023
   Citations: 91
3. Title: A Novel Electrical Impedance Function to Estimate Central Aortic Blood Pressure Waveforms
   Authors: D. Sooriamoorthy, S.A. Shanmugam, M.A. Juman
   Year: 2021
   Citations: 72
4. Title: A Study on the Effect of Electrical Parameters of Zero-Dimensional Cardiovascular System on Aortic Waveform
   Authors: D. Sooriamoorthy, A.L.H. Wee, A. Shanmugam, K.J. Ghee, P.C. Ooi, M. Nafea
   Year: 2020
   Citations: 29
5. Title: A Study on Transfer Function to Estimate the Central Aortic Blood Pressure Waveform
   Authors: B.V. Leonard, D. Sooriamoorthy
   Year: 2023
   Citations: 27
6. Title: Performance Analysis on Artificial Neural Network Based State of Charge Estimation for Electric Vehicles
   Authors: M. Aaruththiran, K.M. Begam, V.R. Aparow, D. Sooriamoorthy
   Year: 2021
   Citations: 26
7. Title: Study on Artificial Neural Network Optimization for Electric Vehicle Battery State of Charge Estimation
   Authors: A. Manoharan, K.M. Begam, D. Sooriamoorthy, V.R. Aparow
   Year: 2023
   Citations: 21
8. Title: A Homogeneous Meta-Learning LSTM-RNN Ensemble Method for Electric Vehicle Battery State of Charge Estimation
   Authors: R.H. Wong, A. Manoharan, D. Sooriamoorthy, N.B. Sarif
   Year: 2023
   Citations: 21
9. Title: Multi-Agent Robot Motion Planning for Rendezvous Applications in a Mixed Environment with a Broadcast Event-Triggered Consensus Controller
   Authors: N. Sariff, Z.H. Ismail, A.S.H.M. Yasir, D. Sooriamoorthy, P.N.A.F.S. Mahadzir
   Year: 2023
   Citations: 16
10. Title: Balancing Accuracy and Efficiency: A Homogeneous Ensemble Approach for Lithium-Ion Battery State of Charge Estimation in Electric Vehicles
    Authors: R.H. Wong, D. Sooriamoorthy, A. Manoharan, N. Binti Sariff, Z. Hilmi Ismail
    Year: 2024
    Citations: 3