Do Gun Kim | Environmental Engineering | Best Researcher Award

Prof Dr. Do Gun Kim | Environmental Engineering | Best Researcher Award

Associate Professor | Sunchon National University, South korea

Dr. Do Gun Kim is an accomplished environmental engineer and Associate Professor at Sunchon National University, Republic of Korea. With over two decades of academic, research, and industry experience, his expertise spans advanced water, wastewater, and groundwater treatment technologies. Dr. Kim began his career in the private sector with Kavotech and Ssangyong Engineering before transitioning to academia, holding key positions at JEI University and Kyung Hee University. He earned his B.S. from the University of Seoul and both his M.S. and Ph.D. from KAIST in Environmental Engineering. Dr. Kim has published extensively, with over 80 peer-reviewed articles and multiple patents to his name. His research emphasizes physico-chemical treatment processes, innovative materials for pollution remediation, and non-point source pollution management. He is recognized for blending theoretical knowledge with practical applications to address environmental challenges in water quality and sustainable engineering.

Profile

🎓 Education

Dr. Kim holds a Ph.D. in Environmental Engineering from Korea Advanced Institute of Science and Technology (KAIST), completed in August 2010, where his research focused on advanced water treatment technologies. Prior to his doctorate, he earned a Master of Science degree in Environmental Engineering from KAIST in February 1996, where he developed his foundation in physico-chemical treatment processes. His academic journey began with a Bachelor of Science in Environmental Engineering from the University of Seoul, which he completed in February 1993. Throughout his educational career, Dr. Kim has demonstrated a consistent commitment to addressing complex environmental challenges, particularly in the areas of pollution control and sustainable resource management. His academic background is further strengthened by two national engineering licenses in water pollution control and noise and vibration mitigation, awarded by the Human Resources Development Service of Korea. These qualifications support his applied and interdisciplinary approach to environmental research and teaching.

🧪 Experience

Dr. Do Gun Kim is currently an Associate Professor in the Department of Environmental Engineering at Sunchon National University since July 2020. Before this, he served as a Research Professor and Postdoctoral Researcher at Kyung Hee University (2010–2020), contributing to advanced civil and environmental engineering research. He also briefly worked as an Assistant Professor at JEI University in 2016, teaching environment and health courses. Dr. Kim’s professional experience includes significant time in the private sector with companies like SIB Co., Ltd. (2009–2010), Kavotech Co., Ltd. (2003–2008), and Ssangyong Engineering & Construction Co., Ltd. (until 2002), where he worked in R&D on environmental technologies. His well-rounded background bridges both academia and industry, providing him with practical insight into environmental systems, engineering design, and pollution control. These roles have shaped his approach to research, integrating laboratory innovation with real-world environmental problem-solving.

🏅 Awards and Honors

Dr. Do Gun Kim’s academic and research excellence is reflected in his extensive publication record, with 67 international and 14 domestic journal articles, alongside 7 Korean patents and 1 PCT international patent. His innovative work in environmental engineering has contributed significantly to the advancement of water treatment technologies and pollution reduction strategies. He holds two national-level professional engineering certifications—one in water pollution technology and another in noise and vibration—issued by the Human Resources Development Service of Korea. These certifications validate his technical expertise and professional contributions to environmental management. While specific named awards are not listed, Dr. Kim’s sustained funding, prolific publications, and patents underscore his recognition and impact in the field. His roles at top Korean institutions such as KAIST, Kyung Hee University, and Sunchon National University reflect the esteem in which he is held by academic and professional communities.

🔬 Research Focus

Dr. Kim’s research is centered on advanced physico-chemical processes for water, wastewater, and groundwater treatment. He focuses on key mechanisms like adsorption, catalysis, coagulation, filtration, and advanced oxidation processes to enhance contaminant removal efficiency. His work places strong emphasis on innovative materials, including carbon-based adsorbents, nano-metallic particles, and hybrid composites tailored for environmental remediation. Additionally, Dr. Kim actively investigates methods for reducing non-point source pollution, which poses significant challenges in urban and agricultural runoff management. His integrated approach combines theoretical modeling, lab-scale experimentation, and pilot-scale application. Through interdisciplinary collaboration, he aims to develop sustainable, cost-effective, and scalable solutions for improving water quality and environmental health. His projects often explore synergies between material science, environmental chemistry, and civil engineering, thereby pushing the boundaries of traditional water treatment paradigms. This multi-dimensional focus enhances resilience and sustainability in water resource management systems.

Conclusion

Dr. Do Gun Kim is a dedicated environmental engineer whose multifaceted career integrates academic research, industry experience, and innovative water treatment solutions, making him a leading figure in sustainable environmental technologies.

Publications

Nabiha NAILI | Renewable energies | Excellence in Research

Dr. Nabiha NAILI | Renewable energies | Excellence in Research

Dr. Nabiha Naili 🇹🇳, born on 20 Jan 1974, is an Assistant Professor at the Research and Technology Center of Energy (CRTEn), Tunisia 🔬. With expertise in thermal systems and renewable energy 🌞, she contributes to sustainable solutions in heating/cooling applications. Her prolific research on ground source heat pumps and solar energy 🌍 has earned recognition both locally and internationally 🌐. She actively mentors young researchers and engineers 🧑‍🎓, participates in scientific committees 📋, and serves as a reviewer for top-tier journals 📚. Dr. Naili is known for combining simulation with experimental validation 🔧🧪, aiming to promote clean energy and climate-resilient technologies. She balances academic excellence with strong scientific leadership and international collaboration 🤝. Fluent in science and solutions, she is a pillar of innovation at CRTEn 🏛️

Profile

Education 🎓

Dr. Naili’s academic journey began with a Master in Physics in 1999 🧲, followed by an Advanced Studies Diploma in 2001 📘. Her deep dive into renewable energy and thermodynamics culminated in a Ph.D. in 2015 🎓. Her doctoral research integrated experimental methods with simulation modeling, focusing on ground source heat pump systems in Tunisia 🌍. This educational foundation empowered her to lead pioneering work in solar-assisted geothermal systems and energy-efficient technologies ☀️🌡️. She blends classical physics knowledge with applied engineering solutions 🛠️. Throughout her academic career, she has been committed to continuous learning and applying theoretical concepts to real-world energy challenges 🔬. Her education has laid the groundwork for her exceptional research and teaching activities within the fields of sustainable energy and thermal systems ♻️📖.

Experience 👨‍🏫

Since 2002, Dr. Naili has taught physics at various academic levels, eventually becoming an Assistant Professor at CRTEn 🎓. Her experience spans over two decades, involving classroom instruction, laboratory supervision, and student mentoring . She has guided 7 technician projects, 3 engineer theses, 2 master’s, and 2 Ph.D. dissertations 📘. She has reviewed papers for prestigious journals like Applied Energy and Renewable Energy 📚. A member of CRTEn’s scientific council, she also contributes to international conference committees 🌐. Her work integrates simulation tools like TRNSYS with experimental installations, enhancing national energy efficiency programs 💡. She actively participates in R&D projects involving heat exchangers, geothermal systems, and hybrid solar applications 🔧🌞. Her blend of academic insight and applied engineering makes her a key player in Tunisia’s energy innovation ecosystem 🔋.

Awards & Recognitions 🏅

While formal awards are not explicitly listed, Dr. Naili’s career is adorned with prestigious roles and peer recognition 🌟. She has been an invited speaker at ANSOLE Days 2017 🎤, reflecting her regional leadership in geothermal and solar energy. She is an elected member of CRTEn’s Scientific Council 🏛️ and has served as a Technical Program Committee member at key conferences like ICSESS 2018 and IREC 🌍. Her role as a reviewer for high-impact journals like Energy Conversion and Management and Applied Thermal Engineering is a testament to her research quality 📖. Her research articles are frequently cited, and her work has contributed to national development in renewable energy ⚡. She is celebrated for promoting clean technology and education across Tunisia and beyond 🏅.

Research Interests 🔬

Dr. Naili’s research centers on renewable energy systems, especially solar-assisted ground source heat pumps and hybrid solar technologies 🌞❄️. She has conducted experimental and simulation-based analyses on geothermal heat exchangers, passive solar heating, and building energy efficiency in North African climates 🏠🌍. Her focus lies in optimizing thermal systems for domestic and industrial applications through tools like TRNSYS and CFD modeling 🧪🧠. Her published work spans Geothermics, Applied Thermal Engineering, and Energy Conversion and Management 📚. She emphasizes economic viability, energy conservation, and exergy analysis in her projects 💸🔧. Collaborating with engineers and policymakers, she aims to integrate clean energy into Tunisia’s infrastructure sustainably ♻️. Her innovation-driven approach aligns research with climate goals, making her a key contributor to environmental resilience and green development 🌱🔬.

Publications
  • Energy and exergy analyses of a helicoidal water to air geothermal heat exchanger for arid regions

    Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
    2025-12-31 | Journal article
    CONTRIBUTORS: Abdessamia Hadjadj; Abdelmalek Atia; Boubaker Ben haoua; Müslüm Arıcı; Nabiha Naili; Abdelmadjid Kaddour
  • Optimization and behavior result analysis of a solar assisted ground source heat pump system using TRNSYS simulation tool

    Geothermics
    2025-09 | Journal article
    CONTRIBUTORS: Nabiha Naili; Omeima Nouicer; Issam Attar; Ghofrane Mgadmi
  • Design and economic viability of a hybrid solar/gas pasteurization system for developing countries

    Case Studies in Thermal Engineering
    2025-01 | Journal article
    Part ofISSN: 2214-157X
    CONTRIBUTORS: Oumaima Guizani; Nabiha Naili; Bourhan Tashtoush; Sami Kooli

 

Elyas Rostami | Mechanical Engineering | Best Researcher Award

Dr. Elyas Rostami | Mechanical Engineering | Best Researcher Award

Dr. Elyas Rostami is a distinguished faculty member at Buein Zahra Technical and Engineering University, specializing in Aerospace Engineering 🚀. With a solid academic background, he earned his B.Sc. in Mechanical Engineering 🛠️ from Mazandaran University, followed by an M.Sc. in Aerospace Engineering ✈️ from Tarbiat Modares University, and completed his PhD 🎓 at K. N. Toosi University of Technology. Dr. Rostami is an active researcher with numerous journal articles 📄, books 📚, and research projects 🔍 to his credit. His professional interests lie in aerospace propulsion systems, spray and atomization 💧, fluid mechanics 🌊, and sustainable energy applications ⚡. As a dedicated educator 👨‍🏫 and reviewer, he contributes to shaping future engineers while advancing scientific knowledge through research collaborations 🤝, publishing, and mentoring.

Profile

Education 🎓

Dr. Elyas Rostami holds a B.Sc. in Mechanical Engineering 🛠️ from Mazandaran University, laying the foundation for his technical expertise. He pursued his M.Sc. in Aerospace Engineering ✈️ at Tarbiat Modares University, where he refined his knowledge in aerodynamics, propulsion, and fluid mechanics 🌬️. Driven by academic excellence, he earned his Ph.D. in Aerospace Engineering 🚀 from K. N. Toosi University of Technology, specializing in thermodynamics, propulsion systems 🔥, and energy-efficient solutions 💡. His academic path reflects deep commitment to understanding advanced mechanical and aerospace systems 🔧. Through rigorous coursework, experimental research, and publications 📝, Dr. Rostami has cultivated profound expertise that bridges theory and practice 🧠💪, enabling him to address modern aerospace challenges with innovative thinking 🚀.

Experience 👨‍🏫

Dr. Elyas Rostami serves as a faculty member 👨‍🏫 at Buein Zahra Technical and Engineering University, where he imparts knowledge in Aerospace Engineering 🚀. His career spans academic teaching 📖, research leadership 🔬, article peer reviewing 🧐, and supervising research projects 🔍. He has authored multiple scientific papers 📝 and books 📚, advancing the field of propulsion systems, spray technology 💧, and fluid mechanics 🌊. Beyond academia, Dr. Rostami actively engages with industry via research collaborations 🤝 and applied projects that explore new energies 🌱 and aerospace applications ✈️. His professional journey demonstrates versatility and dedication, contributing both as an educator and innovator 🎓⚙️. His research passion and practical approach shape students into future-ready engineers, while his publications impact global scientific discourse 🌐.

Awards & Recognitions 🏅

Dr. Elyas Rostami’s career is marked by academic excellence and research distinction 🎖️. His scholarly contributions earned him recognition through research publications in reputable journals 🏅, invitations to review articles 🧐, and participation in collaborative research projects 🤝. He has authored a scientific book 📘 and continuously advances his field through active publishing and innovation 🌟. His expertise in aerospace propulsion 🔥 and fluid dynamics 🌊 has positioned him as a valued academic and research professional. The depth of his work reflects both national and international acknowledgment, solidifying his reputation as a committed and impactful researcher 🌍. Dr. Rostami’s work embodies passion for engineering, teaching excellence, and scientific advancement 💡🔬.

Research Interests 🔬

Dr. Elyas Rostami’s research focuses on fluid mechanics 🌊, aerospace propulsion systems 🚀, spray and atomization processes 💧, and the use of renewable energies in industrial applications 🌱. His investigations address the thermodynamics of propulsion systems 🔥, advancing efficiency and performance in aerospace technology ✈️. He integrates experimental and computational approaches 🖥️ to explore new energy solutions and optimize spray behavior under different conditions ⚙️. Through research projects 🔬, journal articles 📄, and book authorship 📚, he contributes to the understanding of modern aerospace challenges. Dr. Rostami’s work supports both academic progress and industrial innovation 💡, making significant strides in the development of sustainable and high-performance propulsion technologies 🌍🚀.

Publications 

Iqra qaisar | Environmental sciences | Best Researcher Award

Ms. Iqra qaisar | Environmental sciences | Best Researcher Award

Iqra Qaiser, from Rawalpindi, Pakistan, is a dedicated and ambitious professional with a passion for environmental sciences and education 🌱📘. Known for her structured approach and growth mindset, she continuously seeks to improve herself both personally and professionally. Her teaching journey spans across coaching institutions and schools, where she has inspired students in Biology and Chemistry for grades 9-10 🧪🧬. Iqra believes in lifelong learning and has engaged with global organizations such as WHO and WWF 🌍💡. She thrives in dynamic environments, embraces constructive feedback, and is always ready to contribute positively to her team. Iqra’s commitment to excellence and sustainability, along with her multilingual skills and leadership training, makes her a versatile and forward-thinking individual with a vision to create impactful change. 🚀🌟

Profile

Education 🎓

🎓 2020-2024: Bachelor’s in Environmental Sciences from Fatima Jinnah Women University – secured an A grade.
📚 2018-2020: F.Sc. Pre-Medical from Army Public School & College, Rawalpindi – 79%.
📘 2018: Matriculation in Sciences – scored 84%.
📜 Throughout her academic career, Iqra has remained committed to excellence, combining strong academic performance with active participation in extracurriculars and research-based events.
🧾 She earned multiple certifications in leadership, environmental awareness, communication, and global health issues from prestigious platforms like WHO, UNICEF, and Udemy.
💬 Fluent in communication and trained in risk assessment and infodemic management, she demonstrates academic versatility and a strong work ethic.
💻 Iqra’s dedication to environmental change and scientific advancement is further reflected in her participation in seminars, boot camps, and digital courses, building a well-rounded educational foundation. 🌿🌎

Experience 👨‍🏫

👩‍🏫 4 years part-time teaching Biology & Chemistry to Grades 9–10 in various coaching centers.
🏫 6 months full-time as a Biology teacher at Future Foundation School, Rawalpindi.
👩‍⚕️ 6 months as a Weekend Carer at Shifa Medical Complex, Rawalpindi – providing care & compassion.
🌍 Internship at the National Cleaner Production Centre – gaining hands-on environmental field experience.
🧠 Iqra’s teaching journey showcases her strong subject command, classroom management skills, and ability to simplify complex concepts.
👥 She brings empathy and attention to detail from her caregiver experience into education and teamwork settings.
🛠️ Equipped with Microsoft Office skills and strong time management, she’s effective both independently and collaboratively.
🌐 Frequent engagements with WHO and WWF officials have enhanced her communication, professionalism, and confidence on global platforms.
🧑‍🔬 Her diverse roles reflect her adaptability, care-driven mindset, and commitment to both education and sustainable health practices.

Awards & Recognitions 🏅

🏅 Awards & Honors (150 words):
🌟 Certificate of Appreciation – 2nd International Multidisciplinary Conference, Mehran University (2021).
🎨 WWF Poster Competition – World Pangolin Day 2023.
🗳️ Voter Education & Mass Awareness Program (2022).
🌐 WHO: COVID-19 Infodemic Management + Mass Gathering Risk Assessment (2021).
🧪 Seminar Contribution: Advancements in Biochemistry – FJWU.
👩‍💻 Participant – “Pakistani Girls Code” Workshop by Lincoln Corners, 2022.
🧠 Udemy: Leadership, ChatGPT for Work, and more (2023–2024).
🎓 UNICEF E-course – “I am in a Changing Environment” (2024).
📞 “Speak English Professionally” by Georgia Institute of Technology (2024).
🔬 Mars Multiomics Research Bootcamp – 20-day E-course (2024).
🏅 These awards highlight Iqra’s proactive learning style and engagement with global and national organizations.
📚 Her certifications reflect a balanced profile of science, leadership, digital tools, and civic participation, making her a dynamic learner.
🌿 A trailblazer with a purpose!

Research Interests 🔬

🌍 Iqra’s research interest lies at the intersection of environmental sustainability, biology, and public health.
🧫 She is especially passionate about environmental conservation, waste management, biodiversity, and climate change awareness.
🧪 Her academic background in environmental sciences enables her to explore eco-solutions through scientific analysis and hands-on projects.
💉 Participation in WHO’s public health initiatives sparked her interest in communicable diseases and community health resilience.
📊 Her involvement in digital training programs and boot camps supports her focus on data-driven environmental research.
🧬 Iqra aspires to contribute to sustainable development goals by linking fieldwork and scientific literacy in educational settings.
🌿 She’s also intrigued by the impact of biochemistry and ecology in pollution control and human wellness.
📈 Iqra is driven to bridge the gap between science education and environmental activism through meaningful, research-based community interventions.
🧠 A future researcher with purpose and potential!

Publications 
  • Impact of Air Pollution and Smog on Human Health in Pakistan: A Systematic Review

    Environments
    2025-02-03 | Journal article
    Part of ISSN: 2076-3298
    CONTRIBUTORS: Shazia Iram; Iqra Qaisar; Dr. Rabia Shabbir; Pomee, M.S.; Matthias Schmidt; Elke Herti

Khalifa Aliyu Ibrahim | Artificial Intelligence in Power Electronics Design | Best Researcher Award

Mr. Khalifa Aliyu Ibrahim | Artificial Intelligence in Power Electronics Design | Best Researcher Award

Khalifa Aliyu Ibrahim is a dedicated researcher and academic pursuing a PhD at Cranfield University, UK, specializing in AI-driven high-frequency power electronics design. With a strong foundation in physics and energy systems, he has extensive experience in research, teaching, and project management. His expertise spans power electronics, renewable energy, and AI applications in engineering. As a research assistant, he has contributed to innovative projects, collaborated with industry partners, and published in esteemed journals. A recipient of multiple prestigious scholarships, Khalifa is actively involved in professional societies such as IEEE, Energy Institute UK, and the Nigerian Institute of Physics. His leadership, technical proficiency, and commitment to advancing energy solutions position him as a key player in the field of power electronics and renewable energy.

Profile

Education 🎓

Khalifa holds a PhD (ongoing) in AI-driven high-frequency power electronics from Cranfield University, where he explores AI applications in power electronics design. He earned an MRes in Energy and Power from Cranfield University (2022-2023) and an MSc in Energy Systems & Thermal Processes (2020-2021), graduating with distinction. His research includes concentrated photovoltaic cooling and hydrogen generation systems. He completed a BSc in Physics at Kaduna State University (2013-2016), graduating as the only first-class student in his department. His undergraduate research focused on geological resistivity and solar irradiation effects on solar cells. He has published in reputable journals, showcasing his expertise in renewable energy and power electronics. Khalifa is an associate member of the Energy Institute UK and an active IEEE member, engaging in cutting-edge research on sustainable energy solutions.

Experience 👨‍🏫

Khalifa currently serves as a research assistant at Cranfield University, contributing to AI-driven power electronics research and mentoring MSc students. Previously, he lectured at Kaduna State University (2021-2022) and Nuhu Bamalli Polytechnic (2020-2021), teaching physics and supervising student projects. His early career included a teaching and laboratory assistant role at Umaru Musa Yar’adua University (2017-2018), where he led physics experiments and administrative tasks. He also gained industrial experience at Kaduna Refining and Petrochemical Company, monitoring power plant operations. Additionally, he worked as an enumerator at Tripple Seventh Nigeria Ltd., mapping assets and conducting data analysis. His diverse experience spans academia, research, industry, and leadership roles, equipping him with a solid foundation in energy systems, AI applications, and power electronics innovation.

Awards & Recognitions 🏅

Khalifa has received multiple prestigious scholarships, including the Petroleum Technology Development Fund Scholarship (2021) worth £31,000 and the Kaduna State Merit-Based Foreign Scholarship (2020) worth £27,000. In 2014, he won a cash prize and a Certificate of Participation in the Nigeria Centenary Quiz Show. His outstanding academic achievements include graduating as the only first-class student in his physics department. He has also been recognized for his research contributions, publishing in esteemed journals and conferences. His leadership and excellence in academia and research have positioned him as a rising expert in AI-driven power electronics and renewable energy solutions.

Research Interests 🔬

Khalifa’s research focuses on integrating AI into high-frequency power electronics design to enhance efficiency and performance. His work explores AI-driven modeling, optimization of energy systems, and smart renewable energy solutions. He has contributed to studies on concentrated photovoltaic cooling, hydrogen generation, and floating solar wireless power transfer. His research also extends to machine learning applications in power electronics, climate change mitigation strategies, and sustainable energy transitions. Through his publications and collaborations, Khalifa aims to bridge the gap between AI and power systems, advancing the next generation of intelligent energy solutions. His work is pivotal in driving innovation in energy-efficient and AI-powered electronic systems.

Publications 

Seyed Fariborz Zarei | Application of Power Electronics in Power Grid | Best Researcher Award

Prof. Seyed Fariborz Zarei | Application of Power Electronics in Power Grid | Best Researcher Award

Dr. Seyed Fariborz Zarei is an Assistant Professor in the Electrical and Computer Engineering Department at Qom University of Technology, Iran. He earned his B.Sc. from Amirkabir University of Technology in 2012, ranking second in his class, followed by an M.Sc. and Ph.D. from Sharif University of Technology in 2014 and 2019, respectively. In 2018, he was a Visiting Ph.D. Scholar at Aalborg University, Denmark. Since 2021, he has been a faculty member at Qom University of Technology, where he established the Power Electronics and Grid Laboratory. He has authored over 40 research papers focusing on power electronics and electrical power engineering. His research emphasizes modeling, control, protection, and stability of power grids. Dr. Zarei has received numerous awards, including the Kezemi Ashtiani Award and the “Selected Researcher” award.

Profile

Education 🎓

Dr. Zarei holds a Ph.D. in Electrical Engineering (2019) from Sharif University of Technology, focusing on inverter-based AC microgrids’ protection. He was an International Visiting Graduate Student at Aalborg University, Denmark (2018), researching power electronic-based power systems. He completed his M.Sc. in Electrical Engineering (2014) at Sharif University of Technology, specializing in microgrid protection. His B.Sc. in Electrical Engineering (2012) was from Amirkabir University of Technology, where he ranked second in the Power Systems track. His academic excellence earned him a merit-based M.Sc. admission and a Research and Technology Scholarship from the Iran National Science Foundation.

Experience 👨‍🏫

Dr. Zarei is the Director of the Power Electronics and Grid Lab at Qom University of Technology (2022-present), leading research on DC/AC converters and power grid interactions. He has designed and implemented a 2 kVA Grid-Simulator. Previously, he was a Research Assistant at Iran’s National Elites Foundation (2015-2018) and conducted experiments on inverter control at Aalborg University (2018). As a lecturer, he has taught courses on power electronics, electrical machines, reactive power control, and high-voltage substation design.

Research Interests 🔬

Dr. Zarei’s research focuses on power electronics applications in power grids, emphasizing modeling, control, protection, and stability. He investigates DC/AC converters, inverter-based AC microgrid protection, and distributed secondary control schemes. His work includes developing fault detection methods, overvoltage mitigation strategies, and high-impedance fault detection for DC microgrids. He has contributed to improving grid stability through advanced converter control techniques. His research extends to energy optimization in metro systems and power routing-based protection in HVDC grids. His findings have been published in top journals, including IEEE Transactions and Electric Power Systems Research. 🚀

Dr. Zarei received the prestigious Kezemi Ashtiani Award from Iran’s National Elite Foundation (2023) for outstanding academic and research contributions. He was recognized as the “Selected Researcher” in Electrical and Computer Engineering at Qom University of Technology (2022). He earned a Research and Technology Scholarship (2017) and was elected as a member of Iran’s National Elites Foundation (2015-2018). His academic achievements include ranking 17th in the Ph.D. KONKOOR (2014), merit-based M.Sc. admissions (2012), ranking 2nd in his B.Sc. program (2012), and securing 373rd place among 129,000 candidates in the B.Sc. KONKOOR (2008).

Publications 📚

Selvakumaran | EEE | Best Researcher Award

Dr. Selvakumaran | EEE | Best Researcher Award

Dr. S. Selvakumaran is an accomplished academician with 15 years of experience in engineering education, specializing in power electronics, smart grids, and renewable energy systems. He has held key institutional roles, including NBA, NAAC, Exam Cell, and ISO Coordinator. With a strong research focus on green energy applications, he has published in reputed journals and conferences. His expertise spans control systems, electrical machines, and metaheuristic optimization techniques for power converters. He has guided over 80 UG and 15 PG students, contributing significantly to academia.

Profile

Education 🎓

Dr. Selvakumaran earned his Ph.D. in Electrical Engineering from Anna University in 2024, focusing on optimization-based converters for green energy. He completed his M.E. in Power Electronics and Drives from Government College of Engineering, Tirunelveli (2009) with 73% and his B.E. in Electrical and Electronics Engineering from Dhanalakshmi Srinivasan Engineering College, Perambalur (2007) with 72%. His academic journey reflects his deep commitment to power electronics and renewable energy research.

Experience 👨‍🏫

Dr. Selvakumaran served as an Assistant Professor at Dhanalakshmi Srinivasan Engineering College, Perambalur (2009-2020), mentoring students in electrical engineering. From 2021 to 2024, he was a full-time research scholar at Alagappa Chettiar Government College of Engineering and Technology, Karaikudi, focusing on optimization algorithms for energy applications. His expertise includes NBA and NAAC accreditation, exam cell coordination, and institutional quality management.

Research Interests 🔬

Dr. Selvakumaran’s research focuses on metaheuristic optimization algorithms for power converters, renewable energy integration, and smart grids. He has worked extensively on hybrid energy systems, solar PV optimization, and intelligent power management. His studies include grid-connected electric vehicle systems, power quality improvement, and AI-driven energy optimization, contributing to sustainable energy solutions.

Dr. Selvakumaran has been recognized for his contributions to electrical engineering through best paper awards at national and international conferences. His publications in high-impact journals like the Journal of Energy Storage (IF: 8.9) and IETE Journal of Research (IF: 1.59) highlight his research excellence. He has received appreciation for mentoring students and serving in key academic roles, enhancing institutional accreditation standards.

Publications 📚

  • Optimal planning of photovoltaic, wind turbine and battery to mitigate flicker and power loss in distribution network

    Journal of Energy Storage
    2025-04 | Journal article
    Part ofISSN: 2352-152X
    CONTRIBUTORS: G. Muralikrishnan; K. Preetha; S. Selvakumaran; P. Hariramakrishnan
  • A hybrid approach for PV based grid tied intelligent controlled water pump system

    International Journal of Adaptive Control and Signal Processing
    2024 | Journal article
    EID:

    2-s2.0-85184388143

    Part ofISSN: 10991115 08906327
    CONTRIBUTORS: Selvakumaran, S.; Baskaran, K.
  • A Hybrid RBFNN-SPOA Technique for Multi-Source EV Power System with Single-Switch DC-DC Converter

    IETE Journal of Research
    2024 | Journal article
    EID:

    2-s2.0-85198697794

    Part ofISSN: 0974780X 03772063
    CONTRIBUTORS: Selvakumaran, S.; Baskaran, K.
  • Improved binary quantum-based Elk Herd optimizer for optimal location and sizing of hybrid system in micro grid with electric vehicle charging station

    Journal of Renewable and Sustainable Energy
    2024 | Journal article
    EID:

    2-s2.0-85208946652

    Part of ISSN: 19417012
    CONTRIBUTORS: Muralikrishnan, G.; Preetha, K.; Selvakumaran, S.; Nagendran, J.

Lichen Shi | Mechanical Engineering | Best Researcher Award

Prof. Lichen Shi | Mechanical Engineering | Best Researcher Award

 

Profile

Education

Lichen Shi (also written as Shi Lichen) is a distinguished Chinese researcher specializing in intelligent measurement, equipment status monitoring, fault diagnosis, and electromechanical system modeling. He was born on June 28, 1972, and is currently affiliated with the School of Mechanical and Electrical Engineering at Xi’an University of Architecture and Technology (XAUAT), China.

With a strong academic and research background, Professor Shi has dedicated his career to advancing intelligent measurement techniques through deep learning, as well as improving the reliability of electromechanical systems through fault diagnosis and dynamic analysis.

Academic Contributions

Professor Shi has published extensively in prestigious international journals, particularly in IEEE Sensors Journal, Measurement, and Computer Engineering & Applications. His notable works focus on deep learning-based fault diagnosis, graph neural networks, and AI-driven predictive modeling for mechanical systems.

Some of his key contributions include:

  • Developing an AI-based method for reading pointer meters using human-like reading sequences.
  • Proposing a graph neural network and Markov transform fields approach for gearbox fault diagnosis.
  • Introducing CBAM-ResNet-GCN methods for unbalance fault detection in rotating machinery.
  • Advancing domain transfer learning techniques for mixed-data gearbox fault diagnosis.
  • Pioneering a lightweight low-light object detection algorithm (CDD-YOLO) for enhanced industrial applications.

His research findings have contributed significantly to the optimization of industrial machinery, predictive maintenance, and AI-driven automation in electromechanical systems. Many of his publications are frequently cited, underlining their impact on the field.

Research Interests

Professor Shi’s research spans multiple cutting-edge areas, including:

  • Intelligent Measurement with Deep Learning
  • Equipment Status Monitoring and Fault Diagnosis
  • Electromechanical System Modeling and Dynamic Analysis

Professional Impact

As a leading expert in intelligent diagnostics and mechanical system optimization, Professor Shi has played a crucial role in bridging the gap between artificial intelligence and industrial engineering. His contributions have aided in the development of more efficient, predictive, and adaptive electromechanical systems, helping industries reduce downtime and improve operational efficiency.

Publication

  • [1] Qi Liu, Lichen Shi*. A pointer meter reading method based on human-like readingsequence and keypoint detection[J]. Measurement, 2025(248): 116994. https://doi.org/10.1016/j.measurement.2025.116994
  • [2] Haitao Wang, Zelin. Liu, Mingjun Li, Xiyang Dai, Ruihua Wang and LichenShi*. AGearbox Fault Diagnosis Method Based on Graph Neural Networks and MarkovTransform Fields[J]. IEEE Sensors Journal, 2024, 24(15) :25186-25196. doi:
    10.1109/JSEN.2024.3417231
  • [3] Haitao Wang, Xiyang Dai, Lichen Shi*, Mingjun Li, Zelin Liu, Ruihua Wang , XiaohuaXia. Data-Augmentation Based CBAM-ResNet-GCN Method for Unbalance Fault
    Diagnosis of Rotating Machinery[J]. IEEE Sensors Journal, 2024,12:34785-34799. DOI:
    10.1109/access.2024.3368755.
  • 4] Haitao Wang, Mingjun Li, Zelin Liu, Xiyang Dai, Ruihua Wang and Lichen Shi*. RotaryMachinery Fault Diagnosis Based on Split Attention MechanismandGraphConvolutional Domain Adaptive Adversarial Network[J]. IEEE Sensors Journal, 2024,
    24(4) :5399-5413. doi: 10.1109/JSEN.2023.3348597.
  • [5] Haitao Wang, Xiyang Dai, Lichen Shi*. Gearbox Fault Diagnosis Based onMixedData-Assisted Multi-Source Domain Transfer Learning under Unbalanced Data[J]. IEEESensors Journal. doi: 10.1109/JSEN.2024.3477929