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

 

Muhammad Qaiser Shafi | Quantitative Hypotheses | Best Researcher Award

Muhammad Qaiser Shafi | Quantitative Hypotheses | Best Researcher Award

Mr Muhammad Qaiser Shafi, FAST National University of Computer & Emerging Sciences, Islamabad, Pakistan, Pakistan

Mr. Muhammad Qaiser Shafi is a dedicated academic and HR professional, currently serving as a Lecturer at FAST School of Management, FAST-NUCES, Islamabad, Pakistan. He is pursuing a PhD in Human Resource Management (HR/People Analytics) from COMSATS University Islamabad. With over 9 years of extensive experience in both academia and the corporate sector, Mr. Shafi has significantly contributed to the fields of HRM, leadership, green HRM, and employee behavior. He has published 20 research papers in top-tier journals and has presented at numerous local and international conferences. A versatile trainer and mentor, he has conducted workshops on HR Analytics, AI Tools for Literature, and data analysis software, demonstrating a deep commitment to education and research. His profound expertise and continuous academic excellence make him a distinguished candidate for the Best Researcher Award.

Publication Profile

Google Scholar

Education

Mr. Muhammad Qaiser Shafi’s academic journey reflects excellence and dedication. He is currently enrolled in a PhD program specializing in Human Resource Management (HR/People Analytics) at COMSATS University Islamabad, having completed his coursework with a CGPA of 3.6 and progressing towards his thesis. He earned his MS in HRM from Quaid-i-Azam University Islamabad, graduating with an impressive CGPA of 4.4. His undergraduate education, a BBA Hons (HRM) also from Quaid-i-Azam University, was completed with a CGPA of 3.7. Before his university education, he secured top grades during his Intermediate (I.Com) from Punjab College of Information Technology and Matriculation in Computer Science, securing A+ distinctions. His educational background forms a solid foundation for his academic and research achievements, reflecting a consistent pursuit of knowledge and skill enhancement.

Experience

Mr. Muhammad Qaiser Shafi brings over 9 years of diversified experience across academia and the corporate world. He is currently a Lecturer at FAST School of Management, FAST-NUCES, Islamabad, where he teaches HRM, Strategic Management, and Advanced Research Methods, while also mentoring students and supervising research projects. Prior to this, he served at Riphah International University as a Senior Lecturer and PhD Focal Person, leading academic discussions, coordinating PhD programs, and implementing research initiatives. His corporate experience includes working as an HR Officer at the National Logistics Cell (NLC) and an HR Trainee at Oil & Gas Development Company Limited (OGDCL), where he developed expertise in training, recruitment, data analysis, and HR operations. His rich blend of teaching, research, and corporate HR experience uniquely positions him as a dynamic academic and HR professional.

Awards and Honors

Mr. Muhammad Qaiser Shafi has received several accolades that underscore his excellence and dedication. He was awarded “Best Employee/Faculty Member” for two consecutive years (2020-2021 and 2021-2022). He secured an international research grant worth USD 3000 from the International Institute of Islamic Thought (IIIT), USA. His scholarly contributions are recognized through certifications for presenting papers at prestigious conferences hosted by LUMS, NUST, UMT, Riphah University, and JWU. Mr. Shafi is also a certified HR Analytics professional from the University of California, Irvine (via Coursera) and serves as a reviewer for notable journals like the Journal of Organizational Effectiveness: People and Performance and Journal of Islamic Business and Management. These honors reflect his commitment to research excellence and continuous professional development.

Research Focus

Mr. Muhammad Qaiser Shafi’s research interests lie primarily in Human Resource Analytics, Green HRM, leadership behaviors, employee personality traits, and organizational citizenship behavior. He explores contemporary themes such as the impact of inclusive leadership on project success, linking HR practices with sustainable employee behavior, and the mediating roles of employee engagement and project citizenship behavior. His work often combines behavioral theories with statistical analysis tools like SmartPLS and SPSS, offering actionable insights for academia and industry. His focus on People Analytics represents a modern, data-driven approach to HRM research, while his publications on topics like project management and green behavior address current global business challenges. Mr. Shafi’s research blends theoretical depth with practical relevance, aiming to enhance both organizational performance and employee well-being.

Publication Top Notes

1. From Inclusion to Action: Does Project Manager’s Inclusive Leadership Drive Team Member’s Project Citizenship Behavior?International Journal of Project Management (IF 7.4, 2025)
2. Predicting Required and Voluntary Employee Green Behavior Using the Theory of Planned BehaviorCorporate Social Responsibility and Environmental Management (IF 8.7, 2022)
3. The Mediating Role of Project Citizenship Behavior in the Relationship Between Organizational Justice Dimensions and Project SuccessProject Management Journal (IF 4.9, 2021)
4. Job Crafting and Innovative Behaviour: Examining Mediation and Moderation MechanismInternational Journal of Technological Learning, Innovation and Development (X category, 2021)

Conclusion

Given Mr. Muhammad Qaiser Shafi’s outstanding academic background, diverse professional experience, impressive research portfolio, and numerous accolades, he is exceptionally well-suited for the Best Researcher Award. His continuous contributions to the academic community through impactful research, mentoring, training, and active participation in conferences and journal reviews demonstrate his unwavering commitment to advancing knowledge and practice in Human Resource Management. His blend of practical HR experience and high-impact research sets him apart as a leading academician and makes him a deserving candidate for this prestigious honor.