Denesh Sooriamoorthy | Engineering and Technology | Best Researcher Award

Published on 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

  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

 

GULDANA MAKASHEVA | Engineering and Technology | Research Hypothesis Excellence Award

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GULDANA MAKASHEVA | Engineering and Technology | Research Hypothesis Excellence Award

Leading Research Scientist at LLP KazHydroMed, Kazakhstan

Mrs. Guldana Makasheva is a seasoned metallurgical researcher and Senior Research Scientist at LLP KazHydroMed, Kazakhstan. With over a decade of hands-on and theoretical experience across various roles in metallurgy, her expertise lies in flotation, hydrometallurgy, and the beneficiation of complex ores and industrial tailings. She is currently pursuing a Ph.D. in Metallurgy at Satbayev University and holds advanced degrees in Metallurgy and Organic Chemistry. Her career spans from laboratory chemist to lead engineer, demonstrating her adaptability and growth. Makasheva has authored numerous scientific publications in both national and international journals and has contributed to high-impact projects aimed at developing eco-friendly and efficient mineral processing technologies. Her research, marked by technical precision and practical relevance, has addressed pressing industrial challenges in Kazakhstan’s mining sector. With a strong foundation in hypothesis-driven experimentation, she exemplifies the principles celebrated by the Research Hypothesis Excellence Award.

Publication Profile

Orcid

Education

Mrs. Makasheva holds a Master’s degree in Technical Sciences with a specialization in Metallurgy and Mineral Processing from Satbayev University, one of Kazakhstan’s premier technical institutions. Her academic foundation began with a Bachelor’s in Chemistry of Organic Substances from Karaganda State University named after E.A. Buketov, where she gained solid grounding in analytical and synthetic chemistry. Continuing her academic journey, she is currently pursuing her Ph.D. in Metallurgy at Satbayev University (2023–present), focusing on advanced beneficiation techniques and processing of complex ore materials. Her academic background is complemented by specialized certifications, including a Certified PC User qualification and Accounting & 1C certification, highlighting her commitment to interdisciplinary skills. Her education has consistently supported her progression as a research leader in metallurgical science, emphasizing innovation, practical application, and publication in high-impact forums. 🎓📘🧪

Experience

Mrs. Guldana Makasheva’s professional trajectory reflects deep engagement with Kazakhstan’s metallurgical sector. Since 2021, she has served as a Senior Research Scientist at LLP KazHydroMed, where she designed cutting-edge research programs and executed pilot-scale tests in slag and ore processing. Earlier, as Lead Process Engineer at JSC “Zhairem GOK” (2020–2021), she worked on mineral flow diagrams and thickening technologies. At JSC “Varvarinskoye” (2011–2020), she ascended from Laboratory Chemist to Metallurgical Process Engineer, gaining end-to-end operational experience—from ore crushing to desorption and AAS/XRF analysis. Her earliest role was at the Institute of Organic Synthesis and Coal Chemistry, where she synthesized catalysts and conducted chromatographic studies. Each position honed her skills in technical reporting, pilot experiments, and project leadership, building a solid foundation for her present-day research excellence.

Awards and Honors

While specific national or international awards are not listed, Mrs. Guldana Makasheva’s consistent leadership in funded scientific projects and co-authorship of peer-reviewed publications signifies her recognition within the scientific community. Her appointment as Lead Investigator across multiple major projects—such as beneficiation of legacy tailings and development of flotation technologies—indicates institutional trust and high-level peer acknowledgment. She has also been a frequent contributor to SCOPUS-indexed and national journals, suggesting editorial confidence in her scientific rigor. As a Senior Research Scientist, she has been a key figure in government and industrial research initiatives, often coordinating multidisciplinary teams to address Kazakhstan’s critical metallurgical challenges. Her accolades are implicit in her elevation to senior scientific ranks and her pivotal roles in transformative projects. Her ongoing Ph.D. candidacy further reflects academic recognition and career progression.

Research Focus

Mrs. Makasheva’s research spans flotation chemistry, hydrometallurgical processing, ore beneficiation, and tailings revalorization. Her core investigations involve innovative techniques for processing refractory oxidized ores and polymetallic tailings, with special emphasis on flotation using hydroxamate-based collectors and gravity-flotation technologies. She has actively contributed to pilot testing for slag processing from metallurgical plants and has optimized concentrate thickening strategies. Her projects are critical to sustainable resource management, addressing legacy waste streams from major mining hubs like Balkhash and Zhezkazgan. Guldana also explores the oxidative-reductive potential in ore enrichment and thermochemical methods for improving flotation performance. Her current Ph.D. research likely intersects with these themes, pushing boundaries in extractive metallurgy. With a clear focus on bridging lab research with field applications, her work is both environmentally and economically transformative.

Publication Top Notes

Study of Oxidative–Reductive Potential Changes in the Enrichment of Oxidized Polymetallic Ores

Improving the Efficiency of Flotation Enrichment of Oxidized Lead-Zinc Ores Using Calcium Polysulfide

Study of Oxidative-Reductive Potential Changes in the Enrichment of Oxidized Polymetallic Ores

HYDROMETALLURGICAL PROCESSING OF MOLYBDENUM MIDDLINGS FROM SHATYRKUL-ZHAYSAN CLUSTER ORE,HIDROMETALURŠKA PRERADA SRASLAKA MOLIBDENA IZ RUDE ŠATIRKUL-ŽAJSAN KLASTERA

STUDIES ON EXTRACTION OF COPPER FROM SULFURIC ACID SOLUTION AFTER THERMOCHEMICAL ENRICHMENT OF ROUGH CONCENTRATE

Electrocatalytic reduction of quinoline and its oxy derivatives