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.

Chisom Ogbuanya | Electronic | Best Researcher Award

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Ms. Chisom Ogbuanya | Electronic | Best Researcher Award

Ms. Chisom Ogbuanya | Electronic | Lecturer at University of Nigeria at Nigeria

Ms. Chisom Ogbuanya is a highly accomplished academic and researcher in Electronic and Computer Engineering, with specialized expertise in pattern recognition, intelligence detection systems, machine learning, deep learning, and computer vision. She earned her Ph.D. in Control Science and Engineering from Jiangsu University, China, and her Master of Engineering in Digital and Computer Engineering from the University of Nigeria, Nsukka. Currently, she serves as a Lecturer II at the University of Nigeria, Nsukka, where she teaches undergraduate courses in physical electronics and artificial intelligence while actively conducting research in AI and medical imaging. Her research interests include multimodal medical image fusion, retinal biometric recognition, and optimization algorithms for neural network systems. Ms. Ogbuanya demonstrates advanced research skills, including data analysis, algorithm development, structural equation modeling, and computer vision implementation. She has contributed significantly to both national and international research projects and has published in high-impact journals and conference proceedings, receiving recognition for her contributions to AI and engineering education. Her work has been cited multiple times, reflecting her growing influence in the field. She has received awards and honors for research excellence, conference presentations, and contributions to student mentorship and academic development. Ms. Ogbuanya is actively engaged in leadership roles within academic communities, promotes collaborations, and participates in international conferences to advance research and knowledge exchange. Strengths include her robust publication record, interdisciplinary approach, technical expertise, and commitment to mentoring emerging engineers. Areas for further development include expanding global collaborations and translating research into industrial and clinical applications. Looking forward, she is poised to make substantial contributions to AI-driven medical imaging, intelligent systems, and optimization technologies. In conclusion, Ms. Chisom Ogbuanya exemplifies research excellence, innovation, and academic leadership, demonstrating outstanding potential for continued impact and advancement in the field of Electronic and Computer Engineering.

Profile: Google Scholar

Featured Publications

  1. Ogbuanya, C. E. (2021). Improved dimensionality reduction of various datasets using novel multiplicative factoring principal component analysis (MPCA). International Journal of Computer and Communication Engineering, 10(4), 85–95. 3 citations.

  2. Ogbuanya, C. E., Obayi, A., Larabi-Marie-Sainte, S., Saad, A. O., & Berriche, L. (2025). A hybrid optimization approach for accelerated multimodal medical image fusion. PLOS ONE, 20(7), e0324973. 1 citation.

  3. Ogbuanya, C. E., Ezika, I., & Iloanusi, O. (2018). Evaluating the impacts of pregnancy on retinal biometric recognition. Faculty of Engineering, University of Nigeria, Nsukka 1st International Conference Proceeding, 1.

  4. Asiegbu, N. C., Ahaneku, M. A., Chijindu, V. C., & Ogbuanya, C. E. (2024). Mutual coupling computation and measurement studies of a designed 2 x 2 MIMO microstrip patch antenna using element adjustment method. Conference Faculty of Engineering, Chukwuemeka Odumegwu Ojukwu University, Anambra State, Nigeria, Paper ID: ICEAPRID/2024/EEE/022.

  5. Ogbuefi, U., & Ogbuanya, C. E. (2025). The effects of sexist comments on the self-concept, diminished motivation and aggressive tendencies of girls in engineering: A narrative review. Journal for Family & Society Research, 4(1).

  6. Han, F., Mehta, S., Ling, Q. H., & Ogbuanya, C. E. (2024). Enhancement of multiobjective Darwinian particle swarm optimization for neural-network-based multimodal medical image fusion. Neural Approximated Variable-Order Fractional Calculus Multiobjective DPso Optimized Gradient Compass for Multimodal Medical Image Fusion.

  7. Ogbuanya, C. E. (2023). Advanced AI techniques for pattern recognition in intelligent detection systems. International Journal of Engineering and Computer Science Research, 15(3), 45–60.

 

Yuchao Hou | Power electronic converter | Best Researcher Award

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Dr . Yuchao Hou | Power electronic converter | Best Researcher Award 

Doctoral Student , Hunan University , China .

Yuchao Hou is a dedicated Doctoral Student at Hunan University, specializing in electrical engineering. Born in China, he has developed a robust academic foundation with a Bachelor’s degree from Heilongjiang University and is currently pursuing a Ph.D. in electrical engineering. His research focuses on advanced techniques in power quality and control systems, specifically in areas such as arc suppression and modular multilevel converters. Yuchao is committed to advancing the field of electrical engineering through innovative solutions and collaboration. He is also an active contributor to several reputable journals, where his work addresses pressing issues in electrical distribution networks. With a passion for research and a drive for excellence, Yuchao aims to make significant contributions to sustainable energy technologies.

Profile

Scopus

Education 

Yuchao Hou completed his Bachelor of Science degree in Electrical Engineering from Heilongjiang University in September 2019. During his undergraduate studies, he developed a strong foundation in electrical systems, focusing on the principles of energy conversion and power electronics. He subsequently enrolled in Hunan University for his doctoral studies, where he is currently pursuing a Ph.D. in Electrical Engineering. His research encompasses advanced control and modulation techniques, along with innovative designs for power quality compensation systems. Yuchao’s academic journey is characterized by rigorous coursework and active engagement in research projects that explore cutting-edge technologies in electrical engineering. His educational background equips him with the knowledge and skills necessary to tackle complex challenges in the field and contribute to the development of sustainable solutions.

Experience 

Yuchao Hou began his professional journey as a Doctoral Student at Hunan University, where he has been actively involved in advanced research in electrical engineering since September 2019. His academic role includes rigorous research, collaboration with peers, and contributions to scholarly publications. In addition to his studies, Yuchao has gained valuable experience as a Post-Doctoral Researcher at Tsinghua Shenzhen International Graduate School, starting in October 2024. This position allows him to apply his theoretical knowledge in practical settings, focusing on innovative solutions for power quality and control systems. Yuchao’s experience encompasses hands-on work with modular multilevel converters and adaptive voltage-type arc suppression strategies, further enhancing his expertise in electrical engineering. His commitment to research and development positions him as a promising contributor to the future of sustainable energy systems.

Awards and Honors 

Yuchao Hou has received recognition for his academic and research excellence throughout his educational journey. While pursuing his Bachelor’s degree at Heilongjiang University, he was awarded the Academic Excellence Scholarship for his outstanding performance in electrical engineering courses. As a doctoral candidate at Hunan University, Yuchao has continued to excel, earning accolades for his contributions to research in power quality and control systems. His work has been published in leading journals, reflecting the impact of his research on the field of electrical engineering. Additionally, he was honored with a research grant from the university to support his innovative projects focused on modular multilevel converters and power quality compensation techniques. Yuchao’s dedication to advancing knowledge in electrical engineering is evident through these honors, motivating him to strive for excellence in every aspect of his academic and professional pursuits.

Research Focus 

Yuchao Hou’s research focus lies primarily in the field of electrical engineering, with specific interests in arc suppression, modular multilevel converters, and advanced control and modulation techniques. His work aims to enhance power quality through innovative compensation topologies and efficiency enhancement techniques. Yuchao investigates the complexities of single-phase-to-ground fault regulation devices, seeking to optimize their performance for distribution networks. His current research projects involve the development of multifunctional grid-connected converters and hybrid cascaded multilevel converters, emphasizing voltage dynamic compensation capabilities. Additionally, he explores dynamic voltage restoration and reactive power compensation in active distribution networks. Through his studies, Yuchao aims to contribute to the advancement of sustainable energy solutions and improve the reliability and efficiency of electrical systems. His commitment to innovation and research positions him as a key player in the ongoing evolution of electrical engineering technologies.

Publications

  • “A review of single-phase-to-ground fault regulation devices for distribution networks”
  • “Adaptive Active Voltage-Type Arc Suppression Strategy Considering the Influence of Line Parameters in Active Distribution Network”
  • “A Hybrid Cascaded Multilevel Converter Based on Si and SiC Devices and Its Regulation Optimization Strategy”
  • “A multifunctional grid-connected converter with voltage dynamic compensation capability and its multi-mode flexible switching strategy”
  • “A Multi-functional Integrated Converter For Dynamic Voltage Restoration and Reactive Power Compensation in Active Distribution Networks”
  • “A Novel Hybrid Modular Multilevel Converter with Three-Phase Coupled High-Frequency Modules for Multi-Index Optimization”
  • “A Novel Modular Multilevel Converter Topology with High- and Low-Frequency Modules and Its Modulation Strategy”
  • “Adaptive Active Grounding Fault Regulation Method Considering the Influence of Line Impedance in Distribution Network”

Conclusion

Yuchao Hou stands out as a strong candidate for the Best Researcher Award due to his solid foundation in electrical engineering, impactful research publications, and collaborative spirit. Addressing the areas for improvement will further enhance his profile as a researcher. With continued dedication and focus, Yuchao is poised to make significant contributions to his field and the broader scientific community.

Sunil M P | Electronics and Communication Engineering | Best Faculty Award

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Mr Sunil M P | Electronics and Communication Engineering | Best Faculty Award

Mr Sunil M P , Department of Electronics and Communication Engineering, Faculty of Engineering and Technology, JAIN (Deemed-to-be University) , India

Dr. Sunil M P is an Assistant Director of the IQAC and an Assistant Professor in the Department of Electronics and Communication Engineering at JAIN (Deemed-to-be University). With a B.E. in Electronics and Communication Engineering from Visvesvaraya Technological University and an M.Tech in Electronics Design and Technology from NIT Calicut, he brings over 12 years of teaching experience. Dr. Sunil’s research spans Embedded Systems, Machine Learning, IoT, Artificial Intelligence, VLSI Circuit Design, and Image Processing. He is also pursuing a PhD in Bio-Medical applications using AI and ML. His scholarly contributions include 70 peer-reviewed journal papers and six Indian patents. Dr. Sunil’s dedication to advancing technology and education highlights his commitment to innovation and academic excellence.

Publication Profile

Google Scholar

Strengths for the Award

  1. Extensive Research Output:
    • Publications: Mr. Sunil M P has published 70 papers in peer-reviewed journals and has presented research at various international conferences. His work spans across multiple advanced topics such as Embedded System Design, Machine Learning, IoT, and Artificial Intelligence, showcasing his versatility and depth in research.
    • Patents: He holds 6 Indian patents, indicating a strong ability to translate research into practical innovations. His patents address diverse applications, from traffic monitoring systems to automated concrete mixing systems.
  2. Diverse Research Interests:
    • His research covers a wide range of fields including Embedded Systems, Machine Learning, Deep Learning, IoT, AI, VLSI Circuit Design, and Bio-Medical Engineering. This broad spectrum highlights his ability to contribute to multiple areas of technological advancement.
  3. Academic Contributions:
    • Mr. Sunil M P has guided numerous M.Tech and B.E projects, reflecting his commitment to fostering research and development among students. His guidance on various projects demonstrates his role in nurturing the next generation of engineers.
  4. Awards and Recognition:
    • He has received multiple Best Paper Awards for his work, which underscores the high quality and impact of his research. Awards from reputable conferences indicate that his contributions are well-recognized and valued in the academic community.
  5. Doctoral Research:
    • Currently pursuing a PhD in Bio-Medical Engineering using AI and Machine Learning, Mr. Sunil M P is engaged in cutting-edge research that promises significant contributions to both the academic and practical realms.

Areas for Improvement

  1. Collaboration and Interdisciplinary Work:
    • While his research is diverse, engaging in more interdisciplinary collaborations could further enhance the scope and impact of his work. Collaborative projects with researchers from other fields might offer new perspectives and lead to innovative solutions.
  2. Broader Dissemination:
    • Increasing the visibility of his research through participation in global conferences and contributing to high-impact journals could further amplify his influence in the field.
  3. Continued Professional Development:
    • Regularly updating skills and knowledge in emerging technologies and research methodologies will ensure that Mr. Sunil M P remains at the forefront of his field.

Education

Dr. Sunil M P completed his Bachelor of Engineering (B.E.) in Electronics and Communication Engineering from Visveswaraiah Technological University in 2008 with a percentage of 61.6%. He then pursued a Master of Technology (M.Tech) in Electronics Design and Technology at the National Institute of Technology, Calicut, graduating in 2011 with a CGPA of 7.59. Dr. Sunil is currently pursuing a Ph.D. in Electronics Engineering from JAIN (Deemed-to-be University), with his colloquium completed in 2019. His academic journey reflects a strong foundation in both practical and theoretical aspects of electronics and communication, providing him with the skills necessary for advanced research and teaching in his field.

Experience 

Dr. Sunil M P brings 12 years of teaching experience, with a notable tenure as an Assistant Professor at JAIN (Deemed-to-be University) since August 2011. His role extends beyond teaching, as he also serves as the Assistant Director of IQAC, contributing to the quality assurance and enhancement of academic standards. His extensive experience includes guiding both M.Tech and B.E. projects, with a focus on innovative solutions and practical applications. Dr. Sunil’s professional experience is complemented by his active involvement in research, with a strong record of publications in peer-reviewed journals and patents. His contributions have significantly impacted the field of Electronics and Communication Engineering, both through academic instruction and research advancements.

Research Focus 

Dr. Sunil M P’s research focuses on a range of cutting-edge technologies including Embedded System Design, Machine Learning, Deep Learning, IoT, and Artificial Intelligence. His work extends into Analog and Digital Integrated VLSI Circuit Design, Data Converters, and Image Processing. Currently, he is pursuing a doctoral degree with a concentration on Bio-Medical applications using AI and Machine Learning, aiming to advance healthcare technology through innovative solutions. His research is distinguished by a blend of theoretical insights and practical applications, leading to significant contributions in areas like traffic monitoring systems, wearable health devices, and automated systems for various applications. With 70 publications in esteemed journals and six Indian patents, Dr. Sunil’s research efforts demonstrate his commitment to pushing the boundaries of technology and its applications.

Publications Top Notes

  1. Enabling IoT services using WIFI-ZigBee gateway for a home automation system 🌐🔧
  2. Dynamic traffic rule violation monitoring system using automatic number plate recognition with SMS feedback 🚦📱
  3. Design and implementation of two stage CMOS operational amplifier using 90nm technology 📉🔬
  4. Inventory management system using IoT 📦🌐
  5. Traffic light and sign detection for autonomous land vehicle using Raspberry Pi 🚗🛠️
  6. Wearable device to measure heart beat using IoT 💓🔗
  7. Smart biogas plant 🌿♻️
  8. Minimization of floor planning area and wire length interconnection using particle swarm optimization 📏💡
  9. Raspberry Pi based energy management system 💡🔋
  10. Autonomous quadcopter for agricultural land surveillance 🚁🌾
  11. Pedometer and calorie calculator for fitness tracking using MEMS digital accelerometer 🏃‍♂️🔍
  12. A novel ultra-low power and PDP 8T full adder design using bias voltage 🔢🔬
  13. FPGA Based Design & Implementation of Orthogonal Frequency Division Multiplexing Receive Module using VHDL 🎛️🔍
  14. Simulation study of Brent Kung adder using Cadence tool ⚙️📈
  15. IoT based automated sericulture system 🕵️‍♂️🌾
  16. Autonomous ground vehicle for agricultural applications 🚜🌾
  17. MED-Alert: an IoT device 🚑🌐
  18. Design of an event based surveillance system using advanced technology 🎥🔒
  19. Health monitoring system for ambulance 🚑💉
  20. Facial emotion recognition using a modified deep convolutional neural network based on the concatenation of Xception and ResNet50 v2 😃🤖

Conclusion

Mr. Sunil M P’s impressive portfolio of research, publications, patents, and awards positions him as a deserving candidate for the Best Researcher Award. His significant contributions to multiple advanced fields, demonstrated by high-quality publications and impactful patents, reflect his dedication and expertise. Addressing the areas for improvement could further solidify his standing as a leading researcher in his domain