Denesh Sooriamoorthy | Engineering and Technology | Best Researcher Award

Published on 24/06/202524/06/2025 by Research Hypothesis

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

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
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
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
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
Title: A Study on Transfer Function to Estimate the Central Aortic Blood Pressure Waveform
Authors: B.V. Leonard, D. Sooriamoorthy
Year: 2023
Citations: 27
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
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
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
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
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

Dong-Bin Kwak | Mechanical Engineering | Best Researcher Award

Published on 17/12/202417/12/2024 by Research Hypothesis

Dong-Bin Kwak | Mechanical Engineering | Best Researcher Award

Assist. Prof. Dr Dong-Bin Kwak, Seoul National University of Science and Technology, South Korea

Assist. Prof. Dr. Dong-Bin Kwak 🎓🔬 is a dedicated mechanical engineer specializing in nanoparticle engineering and filtration systems. He earned his Ph.D. from the University of Minnesota 🏫 (2017-2023) and his B.Sc. summa cum laude 🎖️ from Hanyang University (2011-2017). Currently, he is an Assistant Professor at Seoul National University of Science and Technology 📚, leading the Nanoparticle Engineering Laboratory. His cutting-edge research focuses on air filtration, hydrosol measurements, and heat sink optimization 💨⚙️. Dr. Kwak is a recipient of the Young Scientist Award 🏆 and the AFS Fellowship. He has authored impactful publications and delivered numerous invited talks globally 🌍.

Publication Profile

google scholar

Education

Assist. Prof. Dr. Dong-Bin Kwak is an accomplished mechanical engineer with an impressive academic journey 📚. He earned his Ph.D. in Mechanical Engineering from the University of Minnesota, Twin Cities, USA (Sep. 2017 – Jan. 2023) 🌏🔧. Prior to this, he completed his Bachelor of Science in Mechanical Engineering with summa cum laude honors at Hanyang University, Seoul, Korea (Mar. 2011 – Feb. 2017) 🌟💼. His dedication to excellence and innovation has marked his academic and professional endeavors 💡. With expertise in mechanical engineering and a global education, Dr. Kwak continues to make impactful contributions to the field 🛠️📈.

Research and Project Experience

Assist. Prof. Dr. Dong-Bin Kwak is an esteemed Assistant Professor at Seoul National University of Science and Technology, leading the Nanoparticle Engineering Laboratory (NEL) 🎓. His research spans air filtration systems 💨, CMP-slurry filtration 🌎, and nanoparticle measurement 🔢, supported by LG and Samsung Electronics. Dr. Kwak optimizes filtration efficiency under varying humidity 🌪 and temperature ☀️ and pioneers AI-based heat sink designs 🧮. With expertise from roles at Onto Innovation 🌟 and the University of Minnesota, he advanced automated optical inspection 👁️ and contamination control 💧. His work also explores COVID-19 ventilation optimization 🦠 and electrospun nanofiber filtration. Dr. Kwak is a trailblazer in environmental and thermal engineering 🏫🔄.

Awards

Assist. Prof. Dr. Dong-Bin has earned numerous prestigious accolades 🏆 throughout his academic and professional journey. He received the Young Scientist Award from KSMPE in Dec. 2024 🧪 and the AFS Fellowship twice (2019, 2023) 🌍. Notably, he was honored with the Mechanical Engineering Fellowship and Honorary Hanyang Study Abroad Scholarship (2017-2018) 📚. His excellence began early, winning the National Engineering Fully Funded Scholarship (2011-2017) 🛠️ and multiple awards at Hanyang University, including the President’s List Scholarship 🥇. His achievements span Best Design 🏅, Capstone Chief Award 🎓, and Excellence Awards in competitions 🏗️. He also received the Best Tutor Award for Engineering Mathematics 📐.

Collaborations & Teaching 📚

Assist. Prof. Dr. Dong-Bin Kwak fosters innovation through impactful collaborations with industry giants like Samsung and LG 🤝💡. His commitment to nurturing future leaders is evident through his mentorship of undergraduate students 🎓✨. Dr. Kwak has shared his expertise as a professor at Seoul National University of Science and Technology 🏫🇰🇷 and as a course instructor at the University of Minnesota 📚🇺🇸. These roles highlight his dedication to academic growth and knowledge dissemination 📖🧑‍🏫. By bridging academia and industry, Dr. Kwak continues to drive technological advancements and inspire the next generation of innovators 🚀🔬.

Research Focus

Assist. Prof. Dr. Dong-Bin Kwak’s research focuses on thermal management systems, nanoparticle behavior, and nanofiber filtration technology 🔬🌡️. His studies include improving nanofiber filter performance 🧵🔍, modeling inverse heat conduction for irregular structures 🏗️🔥, and optimizing radial heat sinks with triangular fins for efficient cooling 🌀❄️. Dr. Kwak also investigates nanoparticle transport, deposition, and pressure drop across sharp-bent tubes and membranes, contributing to filtration efficiency and thermal sciences 🧪📊. His interdisciplinary work advances air quality, heat transfer, and filtration systems, addressing real-world challenges in energy and environmental engineering 🌍⚙️. His findings aid in optimizing industrial systems and cutting-edge filtration technologies 🏭✨.