Denesh Sooriamoorthy | Engineering and Technology | Best Researcher Award

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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

 

Mona AbouEleaz | Engineering and Technology | Best Researcher Award

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Mona AbouEleaz | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Mona AbouEleaz, Mansoura University, Egypt

Assoc. Prof. Dr. Mona AbouEleaz 🌍⚙️ is a distinguished academic in Production Engineering at Mansoura University, Egypt. With a Ph.D. in Production Engineering 🎓, her expertise spans Smart Manufacturing, Industry 4.0, Lean Six Sigma, and Quality Improvement approaches 📊. She has held roles as a postdoctoral researcher in Canada 🇨🇦 and visiting lecturer in the UK 🇬🇧. As the Executive Director of the University Center for Career Development, she fosters student growth 🚀. Dr. AbouEleaz has published extensively 📚, supervised over 35 projects 🛠️, and actively contributes to academic accreditation and international collaborations 🌐. She enjoys reading, drawing, sports, and traveling ✈️🎨.

Publication Profile

Google Scholar

Education

Assoc. Prof. Dr. Mona AbouEleaz holds a Ph.D. in Production Engineering from Mansoura University, Egypt (2010–2015), with a thesis titled “Lean Six Sigma Practices into an Organizational Quality Management System” 🎯📊. She earned her M.Sc. in Industrial Engineering from Alexandria University (2005–2008), focusing on “Hierarchic Framework for Quality Improvement Approaches” ⚙️📈. Dr. AbouEleaz also holds a B.Sc. in Production Engineering & Mechanical Design from Mansoura University, graduating with honors and ranking first in her class 🏅🎓. Her academic journey reflects a strong commitment to quality improvement, engineering excellence, and continuous innovation 🔍💡.

Experience

Assoc. Prof. Dr. Mona AbouEleaz is a distinguished academic with extensive experience in mechanical design and production engineering. She’s a lecturer at Mansoura University, Egypt 🇪🇬, and has served as a visiting lecturer at the University of Central Lancashire, UK 🇬🇧, and a postdoctoral researcher at the University of Calgary, Canada 🇨🇦. Dr. AbouEleaz excels in leadership roles, serving as Executive Director of the University Career Center and coordinating ERASMUS programs 🌍. Her contributions to strategic planning, quality assurance ✅, and international collaboration 🤝 have significantly advanced Mansoura University’s academic landscape.

Research Focus

Assoc. Prof. Dr. Mona AbouEleaz’s research focuses on advanced manufacturing processes, particularly in Wire Electrical Discharge Machining (WEDM) and material performance analysis. Her work explores surface roughness, material removal rates, and optimization of machining parameters for alloys like AISI304 and AISI316. She also delves into roundness measurement techniques, finite element analysis, and the impact of ERP systems on production efficiency. Additionally, her studies address supply chain performance and process improvement strategies in manufacturing. ⚙️🔩📊✨🔍

Research Interest

Assoc. Prof. Dr. Mona AbouEleaz’s research focuses on Smart Manufacturing and Industry 4.0 🚀🏭. She specializes in enhancing the performance of production and service systems through Quality Improvement approaches, including Lean Six Sigma 📊, optimization methods ⚙️, and Response Surface Methodology. Her expertise extends to Uncertainty Analysis, MCDM (Multi-Criteria Decision Making), and Decision Making Under Uncertainty 🤔. Dr. Mona also works on Measurement Uncertainty, Mechanical Testing 🧪, and utilizes tools like Minitab and ANSYS for statistical and engineering analysis. Her research aims to boost efficiency, precision, and decision-making in advanced manufacturing environments 🌟.

Publication Top Notes

Experimental investigation of surface roughness and material removal rate in wire EDM of stainless steel 304

Methods of roundness measurement: An experimental Comparative study

Wire Electrical Discharge Machining of AISI304 and AISI316 Alloys: A Comparative Assessment of Machining Responses, Empirical Modeling and Multi-Objective Optimization

The Impact of Enterprise Resource Planning (ERP) Implementation on Performance of Firms: A Case to Support Production Process Improvement.

A critical review of supply chain performance evaluation

A study of drilling parameter optimization of functionally graded material steel–aluminum alloy using 3D finite element analysis

Automated Classification of Marble Types Using Texture Features and Neural Networks: A Robust Approach for Enhanced Accuracy and Reproducibility

Types Using Texture Features and Neural Networks: A Robust Approach

Investigating the Impact of Cutting Parameters on Roundness and Circular Runout Using Signal-to-noise Ratio Analysis

 

ABDULFATTAH AHMED QASEM ALWAH | Engineering and Technology | Best Researcher Award

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ABDULFATTAH AHMED QASEM ALWAH | Engineering and Technology | Best Researcher Award

Assist Prof Dr ABDULFATTAH AHMED QASEM ALWAH, Ibb University, Yemen

Based on Mr. Tailong Lv’s educational background, research experience, and publication, here’s an assessment of whether he is a suitable candidate for the Best Researcher Award.

Publication profile

google scholar

Education

Mr. Tailong Lv holds a Bachelor’s degree in Automation from Henan University of Urban Construction and is currently pursuing a Master’s degree in Mechanical Engineering at Xi’an University of Posts & Telecommunications. His academic foundation is strong, particularly in technical fields relevant to his research focus.

Research Project

Mr. Lv’s main research project, “Deep Learning Based Human Activity Recognition,” showcases his proficiency in applying deep learning techniques to real-world problems. His work focuses on optimizing neural networks for better recognition of complex human activities. This is a cutting-edge area in artificial intelligence and has significant potential for applications in areas such as surveillance, healthcare, and human-computer interaction. His contribution to this field is commendable, given the complexity and real-world relevance of the project.

Awards & Recognition

Mr. Lv has received consecutive scholarships from Xi’an University of Posts and Telecommunications in 2022 and 2023, demonstrating academic excellence and a consistent track record of high achievement.

Research focus

The research focus of this person primarily revolves around urban planning, environmental sustainability, and public space management. Their work involves evaluating the disparity between supply and demand for green spaces 🌳, analyzing visual pollution in historical cities 🏙️, and predicting urban waterlogging risks 🌧️. Additionally, they contribute to developing tools to measure public space efficiency and studying the relationship between built environments and social sustainability 🏞️. Their research emphasizes creating better urban environments by addressing ecological concerns, enhancing public spaces, and promoting social well-being through thoughtful urban design.

Publication

His recent publication, “Multihead-Res-SE Residual Network with Attention for Human Activity Recognition” in the journal Electronics, reflects his engagement in research at an advanced level. Co-authoring this paper with established researchers like Hongbo Kang and Chunjie Yang, and contributing to a field as impactful as human activity recognition, highlights his research capabilities.

Conclusion

Mr. Tailong Lv’s solid educational background, innovative research in deep learning, continuous academic excellence, and publication record make him a strong candidate for the Best Researcher Award. His work contributes significantly to the field of AI and human activity recognition, aligning with the qualities expected of an award-winning researcher.

Publication top notes

Evaluating the disparity between supply and demand of park green space using a multi-dimensional spatial equity evaluation framework

Predicting urban waterlogging risks by regression models and internet open-data sources

Developing a quantitative tool to measure the extent to which public spaces meet user needs

Difficulty and complexity in dealing with visual pollution in historical cities: The historical city of Ibb, Yemen as a case study

Relationship between physical elements and density of use of public spaces in Sana’a City

Research of urban suitable ecological land based on the minimum cumulative resistance model: A Case Study from Hanoi, Vietnam

Analysis of visual pollution of the urban environment in the old city of Ibb

Characteristics of visiting urban open spaces in Sana’a city in Yemen

Relationship between the perceived characteristics of the built environment and social sustainability: Sana’a City, Yemen use case..

Predicting urban waterlogging risks by regression models and internet open-data sources. Water 12 (3): 879