Imanthi Subasinghe | Electronics | Women Researcher Award

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Mrs. Imanthi Subasinghe | Electronics | Women Researcher Award 

Mrs. Imanthi Subasinghe | Electronics | Higher Degree Researcher at The Queensland University of Technology | Australia

Mrs. Imanthi Subasinghe is a dedicated researcher and engineer specializing in Electrical and Power Systems Engineering, with expertise in smart grids, renewable energy systems, artificial intelligence applications, and computational modeling for power distribution networks. She holds advanced degrees in Electrical Engineering, including a research-intensive qualification from Clemson University, where she developed methodologies for estimating electric vehicle grid interfaces, power dispatch estimation, and voltage stability enhancement using digital twin and cellular computational networks. Mrs. Subasinghe has contributed significantly to collaborative research at the University of Moratuwa and the University of Jaffna, focusing on renewable energy integration, low-voltage congestion management, SCADA-based control systems, and digital signal processing applications in power systems. Her professional experience extends to industrial collaborations with Resource Management Associates Pvt. Ltd, where she participated in national projects on electrical transmission and distribution loss targets and solar system feasibility for Sri Lanka, contributing to energy efficiency and sustainability initiatives. Her research interests encompass power system optimization, electric vehicle integration, data-driven modeling, and AI-assisted decision-making in energy networks. Mrs. Subasinghe’s research skills include proficiency in simulation tools such as MATLAB, AutoCAD, and advanced AI algorithms, alongside a solid foundation in computational intelligence, control systems, and data analytics. She is an active member of IEEE, Power Globe Community, Institution of Engineers Sri Lanka (IESL), and ResearchGate, reflecting her engagement with global professional communities. Her academic excellence and technical innovation have earned her recognition within both academic and industrial research circles. In conclusion, Mrs. Imanthi Subasinghe continues to exemplify excellence in sustainable power research, emerging as a future leader in advancing digital transformation, renewable energy resilience, and AI-based engineering solutions for global energy systems.

Profile: Google scholar

Featured Publications

  1. Subasinghe, I. K., Venayagamoorthy, G. K., & Naidoo, R. (2024). Power dispatch estimation from electric vehicles in a distribution system. 7th International Conference on Electric Power and Energy Conversion, 1 citation.

  2. Subasinghe, I. K., & Venayagamoorthy, G. K. (2024). A methodology for estimating allocation of electric vehicle grid interfaces in a distribution system. IEEE PES/IAS PowerAfrica Conference, 1 citation.

  3. Hansika, T., Subasinghe, S. M. I. K., Ahmed, M. S. I., & Weesinghe, P. (2021). Electrical transmission and distribution loss targets for Sri Lanka 2021–2025. SLEMA Journal, 1 citation.

  4. Keerthinathan, P., Subasinghe, I. K., Krishnakumar, T., & Ariyanayagam, A. (2025). Prediction of thermal response of burning outdoor vegetation using UAS-based remote sensing and artificial intelligence. Remote Sensing, 1 citation.

  5. Subasinghe, I. K., & Venayagamoorthy, G. K. (2023). Voltage stability analysis using a computational cellular network with PMU data. IEEE Transactions on Smart Grid, 2 citations.

  6. Subasinghe, I. K., & Venayagamoorthy, G. K. (2023). Enhancing power system stability through digital twin-based voltage monitoring and prediction. International Journal of Electrical Power & Energy Systems, 3 citations.

  7. Subasinghe, I. K., & Krishnakumar, T. (2022). Transmission network topology processing graph generation and visualization using particle swarm optimization. Energy Informatics Journal, 2 citations.

Muhammad Tahir Naseem | Electronic Engineering | Best Research Article Award

Published on by Academic Achievements

Dr. Muhammad Tahir Naseem | Electronic Engineering | Best Research Article Award

Dr. Muhammad Tahir Naseem | Electronic Engineering | Research Professor at Yeungnam University | South Korea

Dr. Muhammad Tahir Naseem is a leading academic and researcher in the field of computer science, with a specialization in artificial intelligence, computer vision, and image processing. His work is recognized internationally for contributing to cutting-edge solutions in medical diagnostics, intelligent systems, and secure image communication. As a faculty member at Yeungnam University, Dr. Muhammad Tahir Naseem continues to advance knowledge through interdisciplinary research, impactful publications, and academic mentorship. With a strong foundation in theoretical and applied domains, he has consistently demonstrated excellence across various research activities and collaborative networks. His reputation for precision, innovation, and scholarly engagement reflects his commitment to both scientific inquiry and societal benefit.

Academic Profile:

Google Scholar

Education:

Dr. Muhammad Tahir Naseem completed his doctoral studies in Electrical and Computer Engineering, focusing on intelligent diagnostic systems and secure signal processing methodologies. His academic journey has been rooted in analytical depth and interdisciplinary orientation, combining core principles of artificial intelligence with real-world applications in healthcare technologies and multimedia systems. Prior to his doctoral research, he obtained strong foundational training in computing and electronics, equipping him with the technical competencies needed to work across a wide range of academic and industrial projects. His educational background laid the groundwork for a successful research career, which has since evolved through both theoretical development and experimental validations.

Experience:

Dr. Muhammad Tahir Naseem possesses extensive teaching and research experience in both national and international institutions. He has held academic roles that involve supervising graduate-level research, delivering specialized courses, and coordinating collaborative initiatives across departments and research labs. He has worked closely with multidisciplinary teams to execute research projects involving medical imaging, wireless communication, and intelligent systems. Dr. Muhammad Tahir Naseem’s academic service also includes peer reviewing for indexed journals and contributing to scientific program committees for international conferences. His experience has enabled him to develop and guide solutions that integrate AI models with practical outcomes in healthcare, communication systems, and data security.

Research Interest:

Dr. Muhammad Tahir Naseem’s primary research interests span artificial intelligence, computer vision, signal and image processing, and intelligent diagnosis. His current focus is on applying deep learning models to medical imaging for disease detection and prognosis, particularly in the areas of histopathology and pathological gait analysis. He is also exploring advancements in resource allocation for wireless communication systems using neural networks and fuzzy logic. Another area of interest includes secure image watermarking and digital authentication techniques using chaos theory and residue number systems. His interdisciplinary research is aimed at improving real-time diagnostic capabilities, data integrity, and resource efficiency in complex systems.

Award:

Dr. Muhammad Tahir Naseem has been consistently recognized for his academic excellence and research contributions in the field of intelligent systems. His work in medical image analysis and adaptive communication networks has earned appreciation from peers and international collaborators. He has been nominated for awards that acknowledge high-impact research, publication quality, and innovation in computing technologies. His leadership in collaborative projects and dedication to solving real-world problems through AI-driven solutions positions him as a strong candidate for academic and research-based honors. His research outputs not only contribute to academic knowledge but also deliver tangible benefits to healthcare and digital communication systems.

Selected Publications:

  • “Malignancy detection in lung and colon histopathology images using transfer learning with class selective image processing” – Published in 2022, with 241 citations

  • “Removal of random valued impulse noise from grayscale images using quadrant based spatially adaptive fuzzy filter” – Published in 2020, with 36 citations

  • “Hybrid approach for facial expression recognition using convolutional neural networks and SVM” – Published in 2022, with 35 citations

  • “Robust and fragile watermarking for medical images using redundant residue number system and chaos” – Published in 2020, with 19 citations

Conclusion:

Dr. Muhammad Tahir Naseem stands out as a dedicated researcher and academic who brings together theory, application, and innovation in his work. His expertise in AI, signal processing, and diagnostic imaging is evident through his scholarly outputs and collaborative achievements. Through impactful research, peer-reviewed publications, and active participation in international academic platforms, he has contributed meaningfully to both scientific advancement and community benefit. Dr. Muhammad Tahir Naseem’s work continues to push boundaries in intelligent healthcare systems and secure information processing, making him a highly deserving candidate for nomination and recognition in the academic award landscape.