Denesh Sooriamoorthy | Engineering and Technology | Best Researcher Award

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 

🎓 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

 

borjini naceur | Engineering and Technology | Best Researcher Award

borjini naceur | Engineering and Technology | Best Researcher Award

Prof. Dr borjini naceur, enim, Tunisia

Prof. Dr. Mohamed Naceur Borjini is a distinguished physicist with over two decades of academic and research excellence in thermal sciences, fluid dynamics, and energy systems. Currently serving as Professor of Physics at the National School of Engineering (ENIM), Monastir, Tunisia, he has held various academic posts across Tunisia’s leading scientific institutions. With a Hirsch Index of 28 (Scopus), his prolific contributions span advanced modeling in microfluidics, biomass gasification, and radiative heat transfer. An expert in numerical simulations using Comsol, Ansys Fluent, and Aspen Plus, Dr. Borjini bridges theoretical research and applied engineering. He actively serves as a reviewer for prestigious journals such as Energy, Numerical Heat Transfer, and International Journal of Thermal Sciences. His global collaborations, high-impact publications, and commitment to scientific advancement make him a prominent figure in thermal-fluid sciences and a suitable recipient of the Best Researcher Award.

Publication Profile

Scopus

Education

Prof. Dr. Borjini’s academic journey is rooted in rigorous training across Europe and North Africa. He earned his HDR (Habilitation à Diriger des Recherches) in Physics Sciences from the Faculty of Sciences, Tunis, Tunisia, in 2007, signifying his high-level research leadership. In 1998, he received his Doctorate in Engineering Sciences from the Faculty of Sciences, Perpignan, France. Prior to that, he completed a Master’s degree in Thermal Sciences at INSAT Lyon, France, in 1995, demonstrating a strong foundation in heat transfer and energy systems. His academic path began with an Engineering Diploma in Energy Engineering from ENIM, Monastir, Tunisia, in 1994. This diverse and international academic background equipped him with a robust interdisciplinary skill set, allowing him to excel in numerical modeling, fluid mechanics, and thermal system design.

Experience

Prof. Dr. Borjini has served in academia for over 25 years, holding progressively senior roles. Since 2014, he has been a Professor of Physics at the National School of Engineering (ENIM), Monastir. Prior to this, he held faculty positions at the High Institute of Applied Sciences and Technologies of Sousse (ISSATS) from 2009 to 2014, first as an Associate Professor and then as a full Professor. Between 2001 and 2009, he was affiliated with the Faculty of Sciences, Monastir, and the High School of Sciences and Technologies, Tunis. His early academic career began as an Assistant Professor at the Faculty of Sciences, Monastir. Across these institutions, he has led research initiatives, mentored graduate students, and contributed to curriculum development in physics and engineering. His experience spans teaching, research leadership, and collaborative engineering projects in energy systems and fluid dynamics.

Awards and Honors

While explicit awards are not listed in the provided data, Prof. Dr. Borjini’s academic standing is underscored by his H-index of 28 (Scopus), a testament to the sustained citation and impact of his scholarly work. His regular role as a scientific reviewer for renowned international journals such as Applied Mathematical Modelling, Energy, International Journal of Heat and Mass Transfer, and Journal of Electrostatics further signifies the academic community’s recognition of his expertise. The diversity and prestige of these journals suggest a consistent contribution to peer-reviewed literature in thermal and fluid sciences. His extensive publication record and participation in global collaborations mark him as an influential voice in his field, and his HDR qualification is itself a mark of high academic distinction in the French-speaking academic world. These credentials collectively justify his consideration for prestigious recognitions such as the Best Researcher Award.

Research Focus

Prof. Dr. Borjini’s research centers on thermal-fluid sciences, with specialization in the numerical modeling of complex heat and fluid flow systems. His primary areas of interest include microfluidics, where he employs Comsol Multiphysics for 3D simulations; biomass gasification, involving experimental and CFD-based analyses of multi-stage and fluidized bed reactors using Ansys Fluent and Aspen Plus; and radiative heat transfer, focusing on semitransparent media and methods like FVM and FTnFVM. He has also delved into natural convection and nanofluids, particularly in confined 2D/3D systems, and studied the interaction of magnetic fields and radiation in combined convection problems. His exploration of double diffusive convection and electroconvection in dielectric fluids highlights his wide-ranging applications in sustainable energy and process optimization. Through advanced modeling techniques and cross-platform simulations, he addresses critical challenges in energy engineering, making significant contributions to renewable energy and thermal system design.

Publication Top Notes

Double diffusive convection of hybrid nanofluids in porous enclosures: impact