Diego Zarie | Renewable Energy | Young Researcher Award

Published on by Network Awards

[ays_poll id=1]

Mr. Diego Zarie | Renewable Energy | Young Researcher Award

Junior Researcher, University of Cuenca, United States

Mr. Diego Zarie is a dedicated Electrical Engineering student at the University of Cuenca, Ecuador (2019–2025), specializing in Control and Automation with a strong academic foundation that also includes studies in Power Systems at the Universidad Autónoma de Ciudad Juárez, Mexico (2024) and early technical training at Unidad Educativa Técnico Salesiano, Cuenca (2012). Professionally, he has served as Project Manager at M.O. Construcciones (2023–2025), where he has been responsible for designing, planning and executing residential, commercial and industrial electrical projects, including the successful implementation of the ISO 50001 energy efficiency standard in residential construction. His research interests lie in renewable energy, energy efficiency, power systems and automation, with a focus on integrating sustainable practices into engineering solutions. Skilled in project management, system control, and programming across Assembly, C, C++,and ML, Mr. Diego Zarie combines technical expertise with leadership and organizational abilities. He has also demonstrated strong community engagement as an international volunteer in Teresina, Brazil, contributing to UN Sustainable Development Goal 4 on quality education. Recipient of recognition for his early contributions, including one indexed publication, he shows great promise as a young researcher. In conclusion, Mr. Diego Zarie exemplifies academic excellence, professional competence, and social responsibility, making him a deserving candidate for recognition.

Profile: ORCID

Featured Publications

Arévalo-Cordero, P., González, F., Martínez, A., Zarie, D., Rodas, A., Albornoz, E., Ochoa-Correa, D., & Benavides, D. (2025). Hybrid LSTM–FACTS control strategy for voltage and frequency stability in EV-penetrated microgrids. Technologies, 13(9), 402.

 

Dr. Mehmet Sait Çay | Renewable Energy | Best Researcher Award

Published on by Network Awards

Dr. Mehmet Sait Çay | Renewable Energy | Best Researcher Award

Dr. Mehmet Sait Çay, TUBITAK Marmara Research Center, Turkey

Dr. Mehmet Sait Çay is a distinguished researcher specializing in renewable energy, thermal power systems, and hydroelectric power plant (HEPP) technologies. He holds a Ph.D. in Mechanical Engineering from Kocaeli University and has extensive experience at TÜBİTAK Marmara Research Center, focusing on energy technologies and sustainable power solutions. His expertise includes heat exchanger design, flue gas desulfurization, cooling systems, and lubrication techniques for HEPPs. Dr. Çay has contributed significantly to research and development, working on technical and economic feasibility studies for energy projects. He has also gained international experience through research stays in Romania and South Korea, collaborating on innovative energy technologies. His impactful contributions make him a key figure in advancing energy efficiency and sustainability.

🌍 Professional Profile:

Orcid

Google Scholar

🏆 Suitability for the Best Researcher Award 

Dr. Mehmet Sait Çay is an exceptional candidate for the Best Researcher Award due to his outstanding contributions to renewable energy, thermal power systems, and hydroelectric technologies. His pioneering research in heat exchanger design, cooling systems, and flue gas desulfurization has significantly impacted the energy sector. With extensive international experience and collaborations in Korea and Romania, he has advanced cutting-edge solutions for sustainable energy. His work at TÜBİTAK Marmara Research Center has driven innovations in power plant optimization and environmental sustainability. Dr. Çay’s dedication to engineering advancements, feasibility studies, and technical designs has earned him recognition as a leading researcher, making him highly deserving of this prestigious award.

🎓 Education 

Dr. Mehmet Sait Çay has a strong academic foundation in mechanical engineering, specializing in energy systems and power plant technologies. He earned his Ph.D. from Kocaeli University (2013–2020), focusing on mechanical engineering innovations. His Master’s degree from Hitit University (2012–2013) further deepened his expertise in renewable energy and thermal systems. He also holds a Bachelor of Science from Hitit University (2007–2011) and pursued a dual-degree program at the University of Craiova, Romania (2010–2011) under the ERASMUS Student Exchange Program. His diverse academic background, combined with practical industry applications, has enabled him to develop advanced engineering solutions for power systems, cooling technologies, and renewable energy applications.

🏢 Work Experience 

Dr. Mehmet Sait Çay has been a key researcher at TÜBİTAK Marmara Research Center’s Energy Technologies Division since 2012, focusing on renewable energy, thermal power plants, and hydroelectric systems. His expertise includes heat exchanger design, cooling system optimization, and flue gas desulfurization. He has also led technical and economic feasibility analyses for energy projects. His international experience includes a research internship at Korea Institute of Energy Research (2015), where he worked on concept and detail design for the MILTES Project, and an Erasmus research semester in Romania (2011). His practical contributions to energy technology innovation and power system sustainability have been instrumental in shaping advancements in the field.

🏅 Awards and Honors 

Dr. Mehmet Sait Çay has received multiple recognitions for his pioneering research in energy engineering. His work on thermal power plants and renewable energy optimization has been acknowledged through prestigious grants and awards. He was awarded a scholarship for international research under the ERASMUS Student Exchange Program (2011), allowing him to study at the University of Craiova, Romania. Additionally, he was selected for a competitive research project at the Korea Institute of Energy Research (2015), where he contributed to cutting-edge energy system designs. His contributions to heat exchanger efficiency, cooling system innovations, and power plant feasibility studies have established him as a leading researcher in sustainable energy solutions.

🔬 Research Focus 

Dr. Mehmet Sait Çay’s research spans renewable energy, thermal power plant efficiency, and hydroelectric power systems. His work primarily focuses on heat exchanger design and optimization for improved thermal power plant performance. He has made significant advancements in flue gas desulfurization systems, reducing environmental impact from fossil fuel-based power generation. His expertise extends to technical and economic feasibility studies, ensuring cost-effective and sustainable energy solutions. He has also developed cooling water, air conditioning, and drainage systems for hydroelectric power plants (HEPPs). Additionally, his research includes bearing lubrication and cooling system designs for HEPPs, enhancing their efficiency and reliability. His contributions play a critical role in advancing green energy technologies and sustainable power solutions.

📊 Publication Top Notes:

  • Mechanical Dewatering Characteristics of a Turkish Lignite

    • Citations: 4

    • Year: 2022

  • Kömür Yakıtlı Termik Santrallarda Baca Gazı Kanalına Kuru Sorbent Enjeksiyonu ile Kükürt Giderme Sisteminin İncelenmesi

    • Citations: 4

    • Year: 2013

  • Ilgın Linyitindeki Suyun Mekanik Yöntemle Azaltılma Davranışının ve Ekonomikliğinin Belirlenmesi

    • Year: 2020

  • Experimental Investigation on Effect of Pressure, Time, and Particle Size on the Mechanical Dewatering Characteristics of Ilgın Lignite

    • Year: 2019

 

 

Dr. Peiwen Han | Sustainable Technology | Best Researcher Award

Published on by Network Awards

Dr. Peiwen Han | Sustainable Technology | Best Researcher Award

Dr. Peiwen Han, China Railway Design Corporation, China

Dr. Peiwen Han is a distinguished researcher in transportation planning and management, with a strong academic foundation and extensive professional experience. He holds a Ph.D. in Transportation Planning and Management from Beijing Jiaotong University and has conducted joint research at the University of Bologna, Italy. Currently serving as a Senior Engineer at the Transportation Planning and Research Institute of China Railway Design Corporation, Dr. Han specializes in sustainable transport systems, railway operations, and big data analysis. His work has been recognized through multiple scientific research projects and high-impact publications. With a commitment to advancing railway efficiency and urban transportation, Dr. Han continues to contribute significantly to the future of sustainable and intelligent transport systems.

🌍 Professional Profile:

Scopus

🏆 Suitability for Best Researcher Award

Dr. Peiwen Han is a highly accomplished researcher whose contributions to transportation planning, railway operations, and sustainable mobility make him an ideal candidate for the Best Researcher Award. His work integrates cutting-edge optimization models, big data analytics, and innovative scheduling techniques to enhance the efficiency of modern railway networks. Over the past five years, he has successfully led and participated in multiple high-profile research projects with significant funding, showcasing his ability to drive impactful studies. His peer-reviewed publications in SCI and EI-indexed journals demonstrate his expertise and commitment to advancing transportation science. Dr. Han’s research has practical applications in real-world railway systems, making him a deserving recipient of this prestigious recognition.

🎓 Education

Dr. Peiwen Han has built an impressive academic foundation in transportation planning and management. He earned his Bachelor’s degree in Transportation from Beijing Jiaotong University (2009-2013), followed by enrollment in a combined master-Ph.D. program at the same university. In 2020, he successfully defended his Ph.D. in Transportation Planning and Management, focusing on railway system optimization. To expand his research expertise, he participated in a joint-training program at the University of Bologna, Italy (2016-2017), where he specialized in Operations Research and Organizational Studies. His interdisciplinary education, combining engineering principles, mathematical modeling, and sustainable transport strategies, has laid a solid foundation for his innovative contributions to the field of modern transportation systems.

🏢 Work Experience 

Dr. Peiwen Han has gained extensive experience in both academic research and industry applications. From 2021 to 2024, he worked as an engineer at the Transportation Planning and Research Institute of China Railway Design Corporation, focusing on transport optimization and urban rail network integration. In November 2024, he was promoted to Senior Engineer at the same institute, further expanding his role in strategic transportation projects. His career includes leadership in multiple government-funded railway research initiatives, where he applies big data analytics, optimization models, and AI-driven scheduling methods. His contributions have directly influenced national railway policies and sustainable transport development, positioning him as a leading expert in modern transportation science.

🏅 Awards and Honors 

Dr. Peiwen Han’s exceptional research and industry contributions have been recognized through prestigious awards and honors. He received the Best Paper Award for his research on multi-objective integer programming models for high-speed railway networks. His innovative contributions to railway planning and scheduling have earned him the Outstanding Research Award in Sustainable Transportation. Additionally, he has played a key role in government-funded projects, earning accolades for his scientific and technological advancements in the field. His expertise in big data analysis for railway networks has also been acknowledged with an Excellence in Transportation Science Award. These honors reflect his dedication, impact, and leadership in transforming modern transportation systems.

🔬 Research Focus

Dr. Peiwen Han specializes in sustainable transport planning, railway system optimization, and big data-driven decision-making. His research integrates mathematical modeling, operations research, and AI-powered solutions to enhance railway efficiency and urban mobility. His work explores passenger flow analysis, high-speed railway scheduling, and transport policy optimization. He has developed multi-objective integer linear programming models to optimize railway planning while ensuring profitability and sustainability. Additionally, his research on railway station facility optimization has contributed to reducing congestion and improving infrastructure efficiency. By leveraging big data analytics and machine learning, he aims to create resilient, efficient, and environmentally sustainable transport networks, shaping the future of global railway systems.

📊 Publication Top Notes:

  • The integration of optimizing train timetables with EMU route plans

 

 

Prof. Tian Tian | Renewable Energy | Best Researcher Award

Published on by Network Awards

Prof. Tian Tian | Renewable Energy | Best Researcher Award

Prof. Tian Tian, Yangzhou University, China

Dr. Teng Huang is a distinguished researcher at Guangzhou University, China, specializing in Blockchain, Smart Contracts, and AI-driven Medical Image Segmentation. His work integrates Comprehensive Transformer Integration Networks (CTIN) to enhance medical diagnostics. With numerous high-impact publications in IEEE and other top journals, Dr. Teng Huang has contributed significantly to breast lesion detection, brain tumor segmentation, and privacy-preserving AI. His expertise extends to remote sensing, recommendation systems, and adversarial learning. Dr. Teng Huang’s innovative research bridges healthcare, AI, and blockchain, establishing him as a leader in computational intelligence and medical AI applications.

🌍 Professional Profile:

Orcid

🏆 Suitability for Best Researcher Award 

Dr. Teng Huang’s groundbreaking contributions in medical imaging, blockchain security, and AI-driven diagnostics make him a strong candidate for the Best Researcher Award. His work on transformer-based segmentation models, privacy-preserving AI, and federated learning has significantly advanced both healthcare and secure computing. With publications in prestigious journals like IEEE Transactions on Medical Imaging and IEEE Journal of Biomedical and Health Informatics, Dr. Teng Huang has demonstrated exceptional research impact. His multi-disciplinary expertise, innovative problem-solving, and commitment to scientific excellence set him apart as a leader in AI-driven healthcare solutions and blockchain applications.

📚 Education

Dr. Teng Huang holds a Ph.D. in Computer Science, specializing in Artificial Intelligence, Blockchain, and Medical Image Processing. His academic journey includes extensive research on deep learning architectures for healthcare and secure computing. His doctoral studies focused on optimizing transformer-based AI models for medical applications, particularly in breast cancer detection and brain tumor segmentation. He has also worked on privacy-preserving federated learning for secure data sharing in healthcare. Dr. Teng Huang’s educational background has equipped him with expertise in machine learning, optimization, and blockchain security, paving the way for his innovative contributions to AI-driven healthcare solutions.

👨‍🏫 Experience 

Dr. Teng Huang is a faculty member and researcher at Guangzhou University, China, where he leads projects on blockchain security, AI-driven diagnostics, and remote sensing applications. He has collaborated with international experts in biomedical image processing, adversarial AI, and recommendation systems. His work in privacy-preserving federated learning has been instrumental in enhancing data security in medical AI applications. With experience in designing intelligent models for 3D medical segmentation, ultrasound imaging, and smart contracts, Dr. Teng Huang continues to push the boundaries of AI research and secure computing, making significant contributions to both academia and industry.

🏅 Awards & Honors 

Dr. Teng Huang has received multiple Best Paper Awards at IEEE international conferences for his pioneering work in AI-driven medical imaging and blockchain security. He has been recognized as a Top Researcher in AI for Healthcare by leading institutions. His contributions to transformer-based medical diagnostics and federated learning security have earned him prestigious grants and funding. He is also a recipient of the Outstanding Young Researcher Award for his work in privacy-preserving AI and adversarial learning techniques. His innovative AI-driven solutions for medical imaging and remote sensing have positioned him as a global leader in computational healthcare research.

🔬 Research Focus 

Dr. Teng Huang specializes in Blockchain, Smart Contracts, Medical Image Processing, and AI-driven Healthcare Innovations. His research involves Comprehensive Transformer Integration Networks (CTIN) for advanced medical image segmentation in breast lesion and brain tumor detection. He is also working on privacy-preserving federated learning for secure medical data exchange. His expertise extends to adversarial learning, recommender systems, and remote sensing AI applications. By integrating deep learning, blockchain security, and smart contracts, Dr. Teng Huang is revolutionizing secure AI-driven diagnostics. His work significantly impacts healthcare, cybersecurity, and AI-based automation for next-generation medical solutions.

📊 Publication Top Notes:

  1. Emission and Absorption Spectroscopic Techniques for Characterizing Perovskite Solar Cells

    • Year: 2024

  2. Advancing Perspectives on Large-Area Perovskite Luminescent Films

    • Year: 2024

  3. Reducing Lead Toxicity of Perovskite Solar Cells with a Built-in Supramolecular Complex

    • Year: 2023

  1. Unlocking Multi-Photon Excited Luminescence in Pyrazolate Trinuclear Gold Clusters for Dynamic Cell Imaging

    • Year: 2024

  2. Durable Organic Nonlinear Optical Membranes for Thermotolerant Lightings and In Vivo Bioimaging

    • Year: 2023

 

 

Dr. Chunyan Zang | Renewable Energy | Best Researcher Award

Published on by Network Awards

Dr. Chunyan Zang | Renewable Energy | Best Researcher Award

Dr. Chunyan Zang, Huazhong University of Science and Technology, China

Dr. Chunyan Zang is a distinguished electrical engineer with over 24 years of experience in power systems, renewable energy, and AI-driven fault detection. As a Lecturer at Huazhong University of Science & Technology and a Guest Scholar at Lund University, Sweden, she has led groundbreaking research on smart grids, state evaluation, and power system optimization. She holds a Ph.D. in Electrical Engineering and has contributed to multiple high-impact projects, generating over 1 billion yuan in economic benefits. An active IEEE senior member, she has earned prestigious awards for her contributions to electrical engineering and scientific innovation.

🌍 Professional Profile:

Scopus

🏆 Suitability for Best Researcher Award

Dr. Chunyan Zang is an exemplary candidate for the Best Researcher Award due to her extensive contributions to electrical engineering, particularly in power transmission, smart grids, and renewable energy integration. Her research has significantly advanced fault detection and predictive maintenance, optimizing power systems’ efficiency and reliability. With numerous patents and over two decades of impactful research, she has pioneered innovative approaches using AI and data-driven technologies. Her leadership in major industry projects, academic mentoring, and recognition through prestigious awards further establish her as a leading researcher in the field.

🎓 Education

Dr. Chunyan Zang has an outstanding academic background, holding multiple degrees from Huazhong University of Science & Technology, China. She earned her Ph.D. in Electrical Engineering (2006), specializing in power system optimization and AI applications. She also holds an M.Sc. in High Voltage and Insulation Technology (2003), a B.Sc. in Electric Power Systems and Automation (2000), and a Minor in Computer Science (2000). Her education has provided her with a strong interdisciplinary foundation in electrical engineering, power systems, and computational methodologies, enabling her to drive cutting-edge innovations in the field.

💼 Professional Experience

Dr. Chunyan Zang has served as a Lecturer at Huazhong University of Science & Technology since 2006, teaching and mentoring undergraduate and postgraduate students. She has led numerous state-funded research projects on power generation, transmission, and distribution, contributing to advancements in smart grids and renewable energy. Currently, she is a Guest Scholar at Lund University, Sweden, researching 5G and 6G applications in strong electromagnetic environments. Her expertise in AI, fault detection, and power system diagnostics has been instrumental in shaping modern energy infrastructures and intelligent monitoring systems.

🏅 Awards & Honors

Dr. Chunyan Zang has been recognized with numerous prestigious awards, including the 2023 Prize for Outstanding Female Scientist Award and the Outstanding Volunteer Award from IEEE PES China. Her contributions have been honored with multiple Scientific and Technological Progress Awards, including in Hubei Province (2022), Shanxi Province (2021), and State Grid Shanxi Electric Power Company (2021). Additionally, she secured the First Prize of Science and Technology Progress Award from Tianjin Electric Power Corporation (2018). Her accolades reflect her groundbreaking research and leadership in electrical engineering.

🔍 Research Focus

Dr. Chunyan Zang’s research primarily focuses on renewable energy, AI-driven power system diagnostics, fault detection, and smart grids. She has pioneered new methodologies in green power electrolytic hydrogen technology, integrating sustainable energy solutions into modern power networks. Her work on state evaluation, risk assessment, and predictive maintenance has enhanced the reliability and efficiency of power transmission. She also explores wireless sensor networks for power grid monitoring, applying machine learning and data mining to optimize power infrastructure performance.

📖 Publication Top Notes 

  1. Comprehensive Evaluation of Proton Exchange Membrane Fuel Cell-Based Power System Fueled with Ammonia Decomposed Hydrogen
    • Year: 2025
  1. A New Popular Transition Metal-Based Catalyst: SmMn₂O₅ Mullite-Type Oxide
    • Year: 2024
    • Citations: 5
  2. Metallic Co with Reactive Element Oxide Composite Coatings for Solid Oxide Fuel Cell Interconnect Applications
    • Year: 2023
    • Citations: 2
  1. Research Progress on Metal Particle Issues Inside Gas-Insulated Lines (GIL)
    • Year: 2024
  2. Intelligent Diagnosis Model of Mechanical Fault for Power Transformer Based on SVM Algorithm
    • Year: 2023
    • Citations: 8

 

Mr. Devesh Chand | Renewable Energy | Best Researcher Award

Published on by Network Awards

Mr. Devesh Chand | Renewable Energy | Best Researcher Award

Mr. Devesh Chand, Fiji National University, Fiji

Mr. Devesh Chand is a dedicated educator and researcher in the fields of Mathematics, Physics, and Renewable Energy. He currently serves as a secondary school teacher under the Ministry of Education, Fiji, teaching Mathematics and Physics at Xavier College, Ba. With a strong academic foundation from Fiji National University, his expertise lies in problem-solving, analytical thinking, and scientific exploration. Throughout his academic journey, he has demonstrated exceptional skills in Mathematics, earning multiple awards for academic excellence. His research focuses on renewable energy solutions, aiming to develop sustainable and innovative energy technologies. Beyond academics, Mr. Chand has shown leadership through environmental initiatives and extracurricular activities. His commitment to teaching, research, and community development makes him a well-rounded professional, striving for excellence in both education and applied sciences.

Professional Profile

Orcid

🏆 Suitability for Best Researcher Award 

Mr. Devesh Chand is a promising researcher in Renewable Energy, combining his strong academic background with innovative thinking to address modern energy challenges. His exceptional performance in Mathematics and Physics, coupled with his passion for scientific discovery, makes him a suitable candidate for the Best Researcher Award. His contributions to academia as an educator have inspired students while his research in sustainable energy solutions has the potential to drive impactful change. Mr. Chand’s dedication to excellence is evident through his numerous academic achievements, awards, and involvement in environmental initiatives. His ability to integrate theoretical knowledge with practical applications sets him apart as a researcher who can contribute meaningfully to the field of renewable energy. With a strong foundation in research methodology, critical thinking, and scientific inquiry, he exemplifies the qualities of an outstanding researcher, making him a deserving nominee for this prestigious recognition.

🎓 Education 

Mr. Devesh Chand holds a Bachelor of Education in Secondary Teaching (Mathematics & Physics) from Fiji National University, College of Humanities and Education. His academic journey started at Arya Kanya Pathshala, Yalalevu, Ba, where he completed his primary education from 2008 to 2016. He later pursued his secondary education at Kamil Muslim College, Yalalevu, Ba, from 2017 to 2022, excelling in Mathematics and Technical Drawing. His outstanding academic performance earned him multiple excellence awards, showcasing his strong analytical and problem-solving abilities. Currently, he is advancing his expertise in renewable energy through independent research. His academic background has equipped him with a strong understanding of complex mathematical and physical concepts, which he applies in both his teaching and research endeavors. Mr. Chand’s continuous pursuit of knowledge and passion for STEM education contribute significantly to his professional growth and research contributions in renewable energy.

💼 Experience

Mr. Devesh Chand is currently a Secondary School Teacher at Xavier College, Ba, under the Ministry of Education, Fiji, where he teaches Mathematics and Physics. His expertise in analytical problem-solving and scientific methodology allows him to effectively engage students in STEM subjects. He is committed to fostering critical thinking and innovation in the classroom, preparing students for higher education and research. In addition to his teaching role, he has been actively involved in educational research and curriculum development. His previous experience at Fiji National University, Suva, has further strengthened his foundation in academic instruction and research methodologies. With a keen interest in renewable energy, he integrates real-world applications into his teaching, inspiring students to explore sustainable solutions. Mr. Chand’s dedication to education, research, and environmental awareness positions him as an impactful educator and a rising researcher in the field of energy sustainability.

🏅 Awards and Honors

Mr. Devesh Chand has received several prestigious awards in recognition of his academic excellence and leadership. His achievements include:

  • Best Student in Mathematics (2021) at Kamil Muslim College 🏆
  • Academic Excellence Award for 100% in Mathematics (FY13CE 2021) 🥇
  • Academic Excellence Award for 98% in Mathematics (FY12CE 2020) 📊
  • Academic Excellence Award for 97% in Technical Drawing (FY12CE 2020) 🏗️
  • Best Environmental Officer Award (2019) at Kamil Muslim College 🌍
  • Bronze Standard Award in the Duke of Edinburgh’s International Award 🏅

These accolades reflect his dedication to academic achievement, problem-solving, and environmental consciousness. His exceptional performance in STEM fields, coupled with his leadership skills, establishes him as a distinguished scholar and educator. Mr. Chand’s commitment to excellence continues to drive his research endeavors, making him a deserving candidate for recognition in research and academia.

🔬 Research Focus 

Mr. Devesh Chand’s research is centered on Renewable Energy, with a particular focus on sustainable and efficient energy solutions. His work aims to develop innovative approaches to harness renewable energy sources, including solar, wind, and hydroelectric power, to address global energy challenges. His research explores energy optimization techniques, investigating how emerging technologies can enhance energy efficiency while reducing environmental impact. Through his strong background in Physics and Mathematics, Mr. Chand applies analytical models to study energy conversion, storage, and distribution systems. His interest in clean energy solutions aligns with the global push for sustainability, and he is dedicated to contributing knowledge that will support energy security in the future. By integrating theoretical research with practical applications, he aspires to develop cutting-edge solutions that improve the accessibility and reliability of renewable energy. His research has significant potential to impact sustainable development and environmental conservation.

Publication Top Notes:

Title: Beyond Energy Access: How Renewable Energy Fosters Resilience in Island Communities
  • Publication Date: January 27, 2025

 

Aimon Mirza Baig | Power Grid Stability | Best Researcher Award

Published on by Network Awards

Aimon Mirza Baig | Power Grid Stability | Best Researcher Award

Mrs. Aimon Mirza Baig, Imperial College London, United Kingdom.

Aimon Mirza Baig is a PhD candidate at Imperial College London, specializing in Electrical and Electronics Engineering. His research focuses on real-time modeling of flexible assets for power grid stability in renewable energy-dominated systems. Aimon has contributed to innovative solutions for enhancing power grid security, co-optimizing ancillary services, and integrating zero-carbon sources like flexible nuclear power plants. He has presented his work at multiple international conferences and published in top journals. Aimon is passionate about teaching and mentoring future engineers, having held teaching roles at Imperial College London and in Saudi Arabia. 🌍⚡🔬

Publication Profile 

Scopus
Orcid

Education And Experiance

  • PhD in Electrical and Electronics Engineering, Imperial College London (2019-present)
    • Research: Real-time modeling for power grid stability with renewable energy sources ⚡
  • MSc in Advanced Electrical Engineering, Queen Mary University (2018-2019)
    • Dissertation: Optimizing lithium-ion battery state of charge 📊🔋
  • BEng in Electrical Engineering, University of Greenwich (2015-2018)
    • First-class honors 🎓
  • Graduate Teaching Assistant at Imperial College London (2020-present)
    • Taught optimization models and supervised PhD students 🧑‍🏫
  • Teaching Experience at Universal Enrichment Program, Riyadh, Saudi Arabia (2024)
    • Delivered STEM lectures and workshops for high school students 🌍🎓

Suitability For the Award

Mrs. Aimon Mirza Baig is an exceptional researcher specializing in power grid stability and renewable energy integration. His groundbreaking work, including the development of stochastic unit commitment models and co-optimization of ancillary services from zero-carbon sources, has significantly advanced the field. With a PhD from Imperial College London and multiple high-impact publications, Baig’s innovative contributions to energy systems, particularly in the context of flexible nuclear power and renewable integration, make him a highly deserving candidate for the Best Researcher Award. His expertise and research have the potential to shape the future of sustainable energy systems.

Professional Development

Aimon has continuously developed his skills in both research and teaching. At Imperial College London, he developed expertise in computational optimization models, using Python and C++ for real-time data simulations and system modeling. He also gained valuable teaching experience by assisting students in courses like “Control Systems Lab” and “Mathematics.” His ability to convey complex concepts to undergraduate students has honed his communication and mentoring skills. Aimon’s experience with international conferences and research publications further enriched his professional growth, allowing him to stay at the forefront of advancements in electrical engineering and renewable energy integration. 📚🌐💡

Research Focus

Aimon’s research is focused on power grid stability and renewable energy integration. He specializes in stochastic unit commitment models, optimizing ancillary services like inertia and frequency response from zero-carbon sources, including flexible nuclear power plants. His work aims to enhance system stability in grids with high penetration of renewable energy sources (RES). Aimon’s contributions to bi-level optimization and market design for virtual power plants help address the challenges of balancing energy production with grid security. His innovative models support the decarbonization goals of the UK and other nations. 🌱⚡🔧

Awards And Honors

  • PhD Scholarship at Imperial College London, funded by the IDLES Project (EDF Energy) 🎓💰
  • Awarded Distinction for MSc in Advanced Electrical Engineering, Queen Mary University 🏅
  • First-Class Honors for BEng in Electrical Engineering, University of Greenwich 🎖️
  • Conference Presentations at 6 international conferences in the UK and Europe 🎤🌍
  • Publications in High-Impact Journals: IEEE, Applied Energy, and International Journal of Electrical Power and Energy Systems 📑

Publication Top Notes 

  • Importance of Linking Inertia and Frequency Response Procurement: The Great Britain Case (2021) – Cited by 3 📚🔋
  • Market Design for Ancillary Service Provisions of Inertia and Frequency Response via Virtual Power Plants: A Non-Convex Bi-Level Optimisation Approach (2024) – Cited by 4 ⚡🔌
  • Co-optimising Frequency-Containment Services from Zero-Carbon Sources in Electricity Grids Dominated by Renewable Energy Sources (2025)  🌱🔋

Dr. Elnaz Yaghoubi | Power System | Best Researcher Award

Published on by Network Awards

Dr. Elnaz Yaghoubi | Power System | Best Researcher Award

Dr. Elnaz Yaghoubi, Karabuk University, Turkey

Dr. Elnaz Yaghoubi is an expert in energy management and smart microgrids, currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey. With a Master’s degree in Electrical Engineering from Islamic Azad University, Iran, she focuses on optimizing power consumption and improving energy efficiency in large-scale networks. Her research interests include power system analysis, renewable energy, AI-driven control systems, and smart grid technology. As a Principal Researcher at Power Electrical Developing Advanced Research (PEDAR), Dr. Yaghoubi brings expertise in distributed generation, AI-based energy solutions, and telecommunications.

Professional Profile

Google Scholar

Suitability for the Best Researcher Award:

Dr. Yaghoubi’s work on the energy management of smart microgrids, along with her interdisciplinary expertise in AI, power systems, and renewable energy, aligns well with the criteria for the Best Researcher Award. Her research not only advances theoretical knowledge but also has practical implications for the future of energy sustainability and grid reliability. Her innovative approach to combining AI techniques with traditional power management solutions positions her as a leader in the energy systems field.

Education & Expertise:

Dr. Elnaz Yaghoubi is currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, specializing in energy management of smart microgrids. She also holds a Master’s degree in Electrical Engineering from the Islamic Azad University, Iran, where she focused on optimizing power consumption in large-scale networks.

Research Interests:

Her research is centered around power system analysis, microgrids, renewable energy, and AI-based control systems like machine learning and predictive control. She is passionate about improving energy efficiency and power stability in smart grids.

Work Experience:

Dr. Yaghoubi serves as a Principal Researcher at Power Electrical Developing Advanced Research (PEDAR) and has prior experience in telecommunications, specializing in traffic monitoring and data network design.

Her expertise spans power management, distributed generation, AI-driven energy solutions, and smart grid technology.

Publication Top Notes:

  • “State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques”
    • Citations: 88
    • Published: 2023
  • “The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems”
    • Citations: 16
    • Published: 2023
  • “Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide”
    • Citations: 12
    • Published: 2021
  • “Reducing the vulnerability in microgrid power systems”
    • Citations: 11
    • Published: 2023
  • “Electric vehicles in China, Europe, and the United States: Current trend and market comparison”
    • Citations: 10
    • Published: 2024

 

 

 

Assist. Prof. Dr. Nikos Loukeris | Philosophy | Best Researcher Award

Published on by Network Awards

Assist. Prof. Dr. Nikos Loukeris | Philosophy | Best Researcher Award

Assist. Prof. Dr. Nikos Loukeris, University of West Attica & Princeton University, Greece

Nikolaos Loukeris is an accomplished academic and business leader, currently serving as an Assistant Professor of Finance & Shipping at the University of West Attica. Elected in October 2020, he has made significant contributions to academia as a Supervisor of Internships at Princeton University and as a Visiting Professor at the Hellenic Open University. Loukeris is also the Founder and Managing Director of ‘Loukeris N, Business Consultants – Accountants’ and ‘Lamda Engineers.’ He is a renowned speaker at international conferences, focusing on governance, shipping, and finance. His expertise encompasses the intersection of technology and finance, particularly in shipping operations. Nikolaos’s commitment to education and mentorship is reflected in his initiatives that connect students with industry executives, fostering practical insights into the business world. His dedication to advancing knowledge and promoting innovative practices in finance and shipping makes him a pivotal figure in the field.

Professional Profile

scopus

Google scholar

Suitability Summary for Nikolaos Loukeris for the Best Researcher Award

Nikolaos Loukeris stands out as an exemplary candidate for the Best Researcher Award due to his extensive contributions to the fields of finance and shipping, both in academia and industry. His multifaceted role as an Assistant Professor at the University of West Attica, along with his positions as a visiting professor and managing director of two consultancy firms, demonstrates his commitment to both education and practical application of his research.

🎓 Education 

Nikolaos Loukeris holds a solid educational background in finance and shipping, which forms the foundation of his extensive professional career. He earned his undergraduate degree in Business Administration, followed by a master’s degree in Maritime Studies, specializing in shipping finance. This strong academic foundation equipped him with the skills necessary to navigate the complexities of the shipping industry and finance. He further enhanced his expertise by completing a Ph.D. in Finance, focusing on innovative methodologies for financial analysis in maritime contexts. Nikolaos’s educational journey reflects his dedication to understanding the nuances of both finance and shipping, which he integrates into his teaching and consultancy practices. Additionally, he has undertaken various professional development courses, ensuring he stays updated on the latest trends and advancements in the fields of finance and shipping. His commitment to lifelong learning empowers him to provide invaluable insights to his students and clients alike.

 💼 Experience 

Nikolaos Loukeris has a diverse and impressive professional background in finance and shipping. Currently, he serves as an Assistant Professor at the University of West Attica, where he teaches courses related to finance and shipping, guiding students toward academic and professional excellence. His role as a Supervisor of Internships at Princeton University exemplifies his dedication to providing students with real-world experiences. In addition, Nikolaos is a Visiting Professor at the Hellenic Open University, where he imparts knowledge in governance and shipping. As the Founder and Managing Director of ‘Loukeris N, Business Consultants – Accountants’ and ‘Lamda Engineers,’ he combines academic knowledge with practical application, assisting businesses in navigating financial challenges. His involvement in various conferences as a speaker and panelist showcases his expertise and thought leadership in the industry. With over a decade of experience, Nikolaos continues to make significant contributions to academia and the business world.

🏅Awards and Honors 

Nikolaos Loukeris has been recognized for his outstanding contributions to the fields of finance and shipping through numerous awards and honors. He has been a keynote speaker at the 6th International Conference on Business Economics and Finance in Suzhu, China, and has presented at prestigious events such as the IEEE Plenary Conference in Bern, Switzerland. His excellence in lecturing was acknowledged by students at the Athens University of Economics and Business, who rated him 4.32 out of 5 in the Computational Finance course. Nikolaos has also received a Research Paper Award at the IABPAD International Conference in Honolulu for his work on bankruptcy prediction using advanced hybrid models. Furthermore, he has played pivotal roles as a chairman and co-organizer for several symposiums and sessions on computational intelligence and finance, showcasing his commitment to advancing knowledge and fostering collaboration in these fields.

 🌍 Research Focus 

Nikolaos Loukeris’s research focus lies at the intersection of finance, shipping, and technology, with particular attention to the application of computational intelligence in financial decision-making and risk management. His work explores innovative methodologies for portfolio optimization, bankruptcy prediction, and the integration of artificial intelligence in shipping operations. By examining the impact of emerging technologies on traditional finance, Nikolaos aims to develop models that enhance decision-making processes in dynamic markets. His research also investigates the role of governance in shipping and finance, emphasizing the importance of strategic oversight in ensuring sustainable practices. Nikolaos actively participates in international conferences, sharing his findings and collaborating with fellow researchers to promote advancements in the field. His commitment to applying theoretical knowledge to practical scenarios drives his research agenda, positioning him as a thought leader in finance and shipping sectors.

  📖 publication Top Notes

A numerical evaluation of meta-heuristic techniques in portfolio optimisation
Cited by: 49
Corporate financial evaluation and bankruptcy prediction implementing artificial intelligence methods

Cited by: 33

An empirical evaluation of CAPM’s validity in the British stock exchange

Cited by: 26

Further Higher Moments in Portfolio Selection and A Priori Detection of Bankruptcy, Under Multi‐layer Perceptron Neural Networks, Hybrid Neuro‐genetic MLPs …

Cited by: 22

Radial basis functions networks to hybrid neuro-genetic RBFNs in financial evaluation of corporations

Cited by: 21

Dr. Sheng Hu | New Energy Network | Best Researcher Award

Published on by Network Awards

Dr. Sheng Hu | New Energy Network | Best Researcher Award

Dr. Sheng Hu, Wuhan University of Technology, China

Dr. Sheng Hu holds an M.S. and a Ph.D. in Electrical Engineering from Huazhong University of Science and Technology. With a robust academic background and postdoctoral research experience, he has developed a strong foundation in his field. His professional journey includes a postdoctoral fellowship at Huazhong University and a visiting scholar position at Tandon School of Engineering, NYU. Currently a lecturer at Wuhan University of Technology, Dr. Hu specializes in renewable energy generation systems, control of electric machines, and power electronic converters. His innovative research addresses critical challenges in these areas, contributing significantly to advances in modeling, control, and optimization. Dr. Hu’s impactful work is reflected in his publications and his international collaboration experience, which has enriched his research with diverse methodologies and perspectives.

Professional Profile:

Scopus

Suitability for the Award

  1. Innovative Research:
    • Dr. Hu’s research includes innovative solutions for controlling renewable energy systems and improving the stability and efficiency of power electronic converters. His work on wind turbines and hybrid generation systems demonstrates his expertise in addressing contemporary challenges in energy technology.
  2. Research Impact:
    • The citation counts for his key publications indicate that his work is highly regarded by the research community. His contributions have influenced ongoing research and development in renewable energy and power electronics.
  3. Leadership and Collaboration:
    • His experience as a postdoctoral researcher and visiting scholar, along with his current role as a lecturer, showcases his leadership in research and education. His collaborative efforts with international institutions further demonstrate his commitment to advancing knowledge and technology.
  4. Educational Contributions:
    • Dr. Hu’s role as a lecturer and his involvement in research contribute to the education and development of future engineers and researchers in the field of electrical engineering.

Summary of Qualifications

  1. Educational Background:

    • M.S. in Electrical Engineering (Huazhong University of Science and Technology, 2007).
    • Ph.D. in Electrical Engineering (Huazhong University of Science and Technology, 2012).
    • His advanced education in electrical engineering, combined with postdoctoral research, provides a solid foundation for his expertise.

  2. Professional Experience:

    • Postdoctoral Research Fellow (Huazhong University of Science and Technology, 2012-2015).
    • Visiting Scholar (Tandon School of Engineering, New York University, 2018-2019).
    • Lecturer, School of Automation (Wuhan University of Technology, currently).
    • His experience includes significant research roles and international collaboration, contributing to his broad expertise in the field.

  3. Research Focus and Contributions:

    • Dr. Hu’s main research interests are in renewable energy generation systems, control of electric machines, and power electronic converters.
    • His work addresses critical challenges in renewable energy and power systems, demonstrating innovative approaches in modeling, control, and optimization.

  4. Research Impact:

    • Dr. Hu’s research has contributed significantly to the fields of renewable energy and power electronics, addressing complex issues such as voltage stability and hybrid system optimization.
    • His publications in reputable journals and conferences reflect the relevance and impact of his work in advancing technology and addressing practical challenges in energy systems.

  5. International Collaboration:

    • His role as a visiting scholar at NYU highlights his ability to collaborate on international research projects, enriching his work with diverse perspectives and advanced methodologies.

Publication Top Notes:

“Modeling and Coordinated Control Design for Brushless Doubly-Fed Induction Generator-Based Wind Turbine to Withstand Grid Voltage Unbalance” (2021), published in IEEE Access. This article, which has received 10 citations, focuses on advanced control techniques for wind turbines.

“Research on Capacity Optimization of PV-Wind-Diesel-Battery Hybrid Generation System” (2018), presented at the International Power Electronics Conference. This paper, with 7 citations, discusses optimization strategies for hybrid renewable energy systems.

“Design and Analysis of DC-Link Voltage Stabilizer for Voltage Source Converter as Connected to Weak Grid” (2018), published in Diangong Jishu Xuebao/Transactions of China Electrotechnical Society. This article, with 19 citations, explores voltage stabilization in power converters.

Conclusion

Dr. Sheng Hu is a highly suitable candidate for the Best Researcher Award due to his significant contributions to renewable energy systems and power electronics. His innovative research, impactful publications, and international collaboration underscore his excellence and leadership in the field. Dr. Hu’s work addresses critical challenges in energy technology, making him an outstanding candidate for this prestigious award.