Nimai Chand Chandra | Engineering and Technology | Best Researcher Award Professor & Dean | Shri Vishnu Engineering College for Women | India

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Prof. Nimai Chand Chandra | Engineering and Technology | Best Researcher Award

Prof. Nimai Chand Chandra | Engineering and Technology | Best Researcher Award | Professor & Dean | Shri Vishnu Engineering College for Women | India 

Prof. Nimai Chand Chandra is a dedicated academician and accomplished researcher recognized for his extensive contributions to engineering education, technological innovation, and applied research across emerging scientific domains. He has established a strong academic foundation through rigorous training and advanced education, enabling him to excel as a faculty leader and multidisciplinary scholar committed to societal advancement through research-driven solutions. His professional experience spans teaching, research guidance, institutional development, and active participation in collaborative projects, reflecting his long-standing commitment to academic excellence and knowledge dissemination. Throughout his career, Prof. Nimai Chand Chandra has engaged deeply in higher education leadership, curriculum development, and student mentorship while contributing to impactful research initiatives that address current global and industrial challenges. His research interests encompass machine learning applications, computational modelling, sustainable engineering solutions, intelligent systems, and data-driven optimization frameworks, all of which highlight his ability to integrate theoretical understanding with real-world applications. He has developed high-level research skills across algorithm development, experimental analysis, data interpretation, and interdisciplinary problem-solving, with strong proficiency in advanced computational tools and analytical techniques that support his innovative academic output. Prof. Nimai Chand Chandra has consistently published in reputable journals and conferences and is noted for his analytical rigor, clarity of research design, and commitment to scientific integrity. He has also contributed to various academic responsibilities, including organizing workshops, contributing to faculty development programs, and guiding student research projects that expand the intellectual environment of the institutions he serves. His awards and honors reflect his achievements in teaching innovation, research productivity, and academic leadership, acknowledging his sustained dedication to the progress of engineering and technology education. His professional strengths include strong teamwork, strategic planning, and the ability to foster collaborative research environments that accelerate knowledge exchange and innovation. As a respected academic, he maintains active involvement in scholarly communities and continues to support transformative research contributions that enhance institutional growth and societal impact. Overall, Prof. Nimai Chand Chandra stands out as a forward-thinking educator and researcher whose persistent efforts, academic achievements, leadership roles, and research excellence collectively demonstrate his valuable impact on the scientific community and reinforce his ongoing potential to contribute meaningfully to progressive research ecosystems at both national and global levels.

Profile: Scopus | ORCID | Google Scholar

Featured Publications 

  1. Chandra, N. C. (2025). Hybrid DRL-Enhanced ACO-WWO for Efficient Resource Allocation and Load-Balancing in Cloud Computing. International Journal of Computational Intelligence Systems.

  2. Chandra, N. C. (2025). A Flawless QoS Aware Task Offloading in IoT Driven Edge Computing System using Chebyshev Based Sand Cat Swarm Optimization. Journal of Grid Computing.

  3. Chandra, N. C. (2024). Decoding Human Facial Emotions: A Ranking Approach using Explainable AI. IEEE Access.

  4. Chandra, N. C. (2024). ProteinCNN-BLSTM: An Efficient Deep Neural Network for Protein Sequence Classification. Computational Intelligence.

  5. Chandra, N. C. (2024). AI-Driven Drowned-Detection System for Rapid Coastal Rescue Operations. Spatial Information Research.

  6. Chandra, N. C. (2024). A Precise Model for Skin Cancer Diagnosis using Hybrid U-Net and Improved MobileNet-V3. Scientific Reports.

  7. Chandra, N. C. (2023). A Novel Approach for Prediction of Gestational Diabetes based on Clinical Signs and Risk Factors. ICST Transactions on Scalable Information Systems.

 

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

 

Xiaolan Qiu | Engineering and Technology | Best Researcher Award

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Xiaolan Qiu | Engineering and Technology | Best Researcher Award

Prof Xiaolan Qiu, Aerospace Information Research Institute, Chinese Academy of Sciences, China

Based on the information provided, Prof. Xiaolan Qiu appears to be an outstanding candidate for the Best Researcher Award. Here are key reasons for this recommendation, formatted with paragraph headings for clarity:

Publication profile

google scholar

Academic Qualifications

Prof. Qiu holds a Ph.D. in Signal and Information Processing from the Graduate School of the Chinese Academy of Sciences. Her doctoral research focused on advanced imaging algorithms for bistatic Synthetic Aperture Radar (SAR), demonstrating her deep understanding of complex signal processing.

Research Experience

With extensive experience in spaceborne SAR data processing, Prof. Qiu has been involved in significant projects since 2006. She played a critical role in developing data processing systems for China’s first SAR satellite, CRS-1, and has led teams responsible for various SAR satellites, including Gaofen-3. Her current leadership in managing data processors for upcoming SAR satellites underscores her pivotal role in advancing SAR technology.

Publications and Contributions

Prof. Qiu has a robust publication record, contributing to various journals such as IEEE Transactions on Geoscience and Remote Sensing. Her works on bistatic SAR algorithms, SAR image analysis, and polarimetric data processing are highly cited and reflect her contributions to the field of remote sensing. Notable papers include “An improved NLCS algorithm with capability analysis for one-stationary BiSAR” and “Focusing of medium-earth-orbit SAR with advanced nonlinear chirp scaling algorithm.”

Awards and Recognitions

Prof. Qiu has received several prestigious awards, including the Outstanding Scientific and Technological Achievement Award from the Chinese Academy of Sciences in 2016 and the Wang Kuancheng Education Foundation award for Outstanding Woman Scientists in 2010. These honors signify her influence and recognition in the scientific community.

Leadership and Collaboration

As a deputy director of the Key Laboratory of GIPAS at the Institute of Electronics, Chinese Academy of Sciences, Prof. Qiu demonstrates strong leadership in guiding research initiatives and fostering collaboration within the academic and scientific communities. Her role as a project leader for SAR data processing and analysis showcases her ability to manage complex research projects effectively.

Conclusion

Prof. Xiaolan Qiu’s impressive educational background, extensive research experience, high-impact publications, numerous accolades, and leadership in significant research projects make her a highly deserving candidate for the Best Researcher Award. Her contributions not only advance the field of signal and information processing but also enhance the capabilities of SAR technology in various applications.

Publication top notes

An improved NLCS algorithm with capability analysis for one-stationary BiSAR

Some reflections on bistatic SAR of forward-looking configuration

Focusing of medium-earth-orbit SAR with advanced nonlinear chirp scaling algorithm

Synthetic aperture radar three-dimensional imaging——from TomoSAR and array InSAR to microwave vision

Preliminary exploration of systematic geolocation accuracy of GF-3 SAR satellite system

An Omega-K algorithm with phase error compensation for bistatic SAR of a translational invariant case

Urban 3D imaging using airborne TomoSAR: Contextual information-based approach in the statistical way

SRSDD-v1. 0: A high-resolution SAR rotation ship detection dataset

Projection shape template-based ship target recognition in TerraSAR-X images

A novel motion parameter estimation algorithm of fast moving targets via single-antenna airborne SAR system