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

 

Ayman M. Ibrahim | Engineering and Technology | Best Academic Researcher Award

Ayman M. Ibrahim | Engineering and Technology | Best Academic Researcher Award

Dr Ayman M. Ibrahim, kunmining university of science and technology, China

Dr. Ayman M. Ibrahim is a distinguished mineral processing engineer and academic researcher known for his expertise in sustainable mining practices. Currently serving as an Assistant Professor at the University of Nyala and a Postdoctoral Researcher at Kunming University of Science and Technology in China, Dr. Ibrahim bridges the gap between academia and industry. Fluent in Arabic, English, and Chinese, he is also a part-time instructor at the University of Khartoum. His work focuses on enhancing mineral recovery methods and reducing the environmental footprint of mining operations. Dr. Ibrahim’s academic contributions are reflected in numerous SCI-indexed publications addressing flotation technologies, sulfidization mechanisms, and eco-friendly leaching techniques. With a commitment to innovation and community upliftment, he is also deeply involved in mentoring and guiding students. His multilingual capabilities, cross-continental collaborations, and industry-integrated teaching practices place him at the forefront of mineral engineering research globally.

Publication Profile

Scopus

Education

Dr. Ayman M. Ibrahim holds a Ph.D. in Mineral Processing Engineering from the Sudan Academy of Sciences, earned in June 2023, where he explored advanced flotation and sulfidization techniques. Prior to this, he completed his Master of Science in Mining Technology at Omdurman Islamic University in March 2017, gaining hands-on experience in ore beneficiation and sustainable mining solutions. His foundational education includes a Bachelor of Science in Mining Engineering from the same university, completed in June 2012, which established his strong engineering background. Throughout his academic journey, Dr. Ibrahim has maintained a research-oriented approach, actively publishing and participating in scientific discourse. Proficient in Arabic, English, and Chinese, his multilingual education enhances his collaborative research with institutions across Asia and Africa. His academic training has equipped him with the skills necessary for cutting-edge mineral resource management, sustainable development, and the formulation of environmentally responsible mining practices.

Experience

Dr. Ayman M. Ibrahim’s professional journey showcases a blend of academia, research, and field expertise. Since June 2023, he has held dual roles as an Assistant Professor at the University of Nyala and a Postdoctoral Researcher at Kunming University of Science and Technology, China. At Nyala, he teaches mineral engineering and engineering geology, mentors students, and bridges industry-academia through collaborative research. Simultaneously, his postdoctoral work in China focuses on cutting-edge mineral processing technologies and environmental impact reduction. Previously, he served as a Lecturer (2017–2018) and Teaching Assistant (2013–2015) at the University of Nyala. His core skills include data analysis, GIS, simulation software, academic publishing, and cross-functional collaboration. His leadership, teamwork, and communication abilities enable him to contribute meaningfully to global sustainability goals through innovative engineering solutions. Dr. Ibrahim’s experience reflects a strong commitment to advancing academic excellence, community impact, and technical innovation in mineral sciences.

Awards and Honors

While specific named awards are not listed in his profile, Dr. Ayman M. Ibrahim’s academic accomplishments and continuous progression into higher educational and research roles signify recognition of his exceptional capabilities. His current postdoctoral position at Kunming University of Science and Technology, one of China’s leading technical institutions, is a testament to his scholarly merit and international recognition. Moreover, his appointment as Assistant Professor at the University of Nyala and his selection as a master’s-level instructor at the University of Khartoum reflect institutional trust in his academic leadership. His ability to publish in SCI-indexed international journals and collaborate with cross-border experts in mineral processing is a notable achievement in itself. Furthermore, his inclusion in multiple collaborative projects involving cutting-edge surface chemistry, flotation technologies, and eco-friendly extraction techniques mark him as a rising figure in sustainable mineral engineering. His academic trajectory is decorated with milestones deserving formal recognition.

Research Focus

Dr. Ayman M. Ibrahim’s research is rooted in advanced mineral processing, with a particular focus on sustainable flotation techniques, sulfidization mechanisms, and eco-friendly leaching methods. He seeks to enhance copper recovery from complex ores like malachite using selective collectors and depressants, minimizing environmental impact. His recent research investigates synergistic reagents, such as DDTC and ammonium phosphate, to improve flotation efficiency while reducing the use of toxic materials. Through surface analysis techniques like XPS, FTIR, ToF-SIMS, and zeta potential measurements, Dr. Ibrahim elucidates the physicochemical interactions governing flotation and leaching. He also explores the optimization of leaching parameters (temperature, acid concentration, and particle size) to maximize recovery from Sudanese ore bodies. His work bridges academic theory with industrial needs, offering innovative and environmentally responsible solutions to mining challenges. His mission aligns with global sustainability goals, positioning him as a thought leader in the transformation of mineral engineering for the 21st century.

Publication Top Notes

  1. “Improved activation of malachite sulfurization flotation by thiourea”Colloids and Surfaces A, Oct 2024. 📄🔬
    ✅ Achieved 89% flotation recovery; introduced eco-friendly chemisorption pathway.

  2. “Effect of DDTC and xanthate in malachite flotation”Physicochemical Problems of Mineral Processing, Mar 2025. 📘⚗️
    ✅ Reached 93.15% recovery; collaborative reagents significantly outperformed traditional systems.

  3. “Effect of Ammonium Sulfide on Malachite Flotation”Minerals, Sep 2022. 🧪🌿
    ✅ Demonstrated superior performance of ammonium vs sodium sulfide.

  4. “Ammonium phosphate’s role in malachite flotation”Physicochemical Problems of Mineral Processing, Feb 2023. 🔍📈
    ✅ Enhanced stability and recovery through surface modification.

  5. “Effect of pre-oxidation and PAAS on Cu-Pb separation”Separation and Purification Technology, Sep 2022. 🧫💧
    ✅ Pre-oxidation improved galena depression, replacing toxic agents.

  6. “Lead ions affecting CLS adsorption on chalcopyrite”Journal of Molecular Liquids, Feb 2023. ⚛️🧲
    ✅ Revealed challenges in selectivity of Cu-Pb separation due to lead interference.

  7. “Cu-S separation using PAAS in acidic pulp”Minerals Engineering, Sep 2022. ⚙️🧪
    ✅ Selective flotation achieved at low pH, improving pyrite hydrophilicity.

  8. “Enhanced Malachite Leaching from Jebel Hadieda”Conclusions in Engineering, May 2025. 🔬🌍
    ✅ 88.15% extraction achieved under optimized leaching conditions.