Saber Arabi Nowdeh | Renewable energy | Research Excellence Award

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Mr. Saber Arabi Nowdeh | Renewable energy | Research Excellence Award

Mr. Saber Arabi Nowdeh | Golestan vocational and technical training center, gorgan. | Iran

Mr. Saber Arabi Nowdeh is a highly impactful researcher in the field of renewable energy systems, with a strong focus on hybrid power generation, distributed energy planning, and optimization-based reliability enhancement for modern power grids. His research extensively explores the integration and optimal sizing of photovoltaic, wind, and fuel cell technologies to achieve reliable, cost-efficient, and sustainable standalone energy solutions, particularly in off-grid and future low-carbon infrastructures. He has developed and applied advanced meta-heuristic and hybrid optimization techniques, including ant lion optimization, fuzzy multi-objective decision methods, and hybrid meta-heuristic algorithms, to enhance system efficiency, improve power quality, reduce energy losses, and increase reliability indices such as LOEE and LOLE. His publications in well-recognized journals including Renewable Energy, Journal of Cleaner Production, Applied Soft Computing, and Environmental Technology & Innovation demonstrate both strong academic recognition and the practical relevance of his contributions. With several of his research articles achieving high citation counts, his work is widely acknowledged by the global scientific community and frequently used as a foundational reference in designing resilient renewable energy systems. His studies have also expanded knowledge in strategic allocation of distributed generation resources, addressing load interruption probability, and strengthening the reliability of smart distribution networks. Overall, his ongoing research continues to advance cutting-edge solutions for integrating clean energy sources into future power systems, supporting global sustainability goals and strengthening the scientific basis for innovative energy technologies.

Profile: ORCID | Google Scholar | ResearchGate

Featured Publications

Moghaddam, M. J. H., Kalam, A., Nowdeh, S. A., Ahmadi, A., & Babanezhad, M. (2019). Optimal sizing and energy management of stand-alone hybrid photovoltaic/wind system based on hydrogen storage considering LOEE and LOLE reliability indices using flower … Renewable Energy, 135, 1412–1434.

Jahannoosh, M., Nowdeh, S. A., Naderipour, A., Kamyab, H., & Davoudkhani, I. F. (2021). New hybrid meta-heuristic algorithm for reliable and cost-effective designing of photovoltaic/wind/fuel cell energy system considering load interruption probability. Journal of Cleaner Production, 278, 123406.

Nowdeh, S. A., Davoudkhani, I. F., Moghaddam, M. J. H., Najmi, E. S., & Abdelaziz, A. Y. (2019). Fuzzy multi-objective placement of renewable energy sources in distribution system with objective of loss reduction and reliability improvement using a novel hybrid method. Applied Soft Computing, 77, 761–779.

Hadidian-Moghaddam, M., Arabi-Nowdeh, S., Bigdeli, M., & Azizian, D. (2018). A multi-objective optimal sizing and siting of distributed generation using ant lion optimization technique. Ain Shams Engineering Journal, 9(4), 2101–2109.

Jafar-Nowdeh, A., Babanezhad, M., Arabi-Nowdeh, S., & Naderipour, A. (2020). Meta-heuristic matrix moth–flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability. Environmental Technology & Innovation, 20, 101118.

Diego Zarie | Renewable Energy | Young Researcher Award

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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.

 

Mr. Mohamed saber | Renewable energy | Best Researcher Award

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Mohamed saber | Renewable energy | Best Researcher Award

Mohamed saber, Zagazig University, Egypt

Mohammed Al-Desouky 🎓 is a Lecturer Assistant and Civil Hydraulic Engineer at Zagazig University, Egypt 🏛️. He holds a B.Sc. in Civil Engineering (2019) and is completing his M.Sc. in Water and Water Structures Engineering (2025) 💧. Passionate about hydraulic structures, CFD, and renewable energy ⚙️🔬, Mohammed co-founded the CIVIC construction company 🏗️. His research explores innovative energy solutions like pico hydropower using water wheels ⚡. A dedicated educator and engineer, he combines academic excellence with practical fieldwork, evident in his role in teaching, lab supervision, and structural design 📘💼.

Professional profile :

Orcid

Suitability for Best Researcher Award :

Mohammed Al-Desouky demonstrates a commendable blend of academic commitment, innovative research, and practical engineering application. His ongoing M.Sc. research in Water and Water Structures Engineering focuses on pioneering energy solutions such as pico hydropower with water wheels, an area that addresses both sustainability and energy accessibility—critical global challenges.

Education & Experience :

🎓 Education :

  • M.Sc. in Water and Water Structures Engineering, Zagazig University (2025) 💧

  • B.Sc. in Civil Engineering, Zagazig University (2019) 🏗️ — Excellent with Honor (88.65%)

💼 Experience :

  • Lecturer Assistant, Zagazig University (2019–Present) 👨‍🏫

  • Civil Hydraulic Engineer, Irrigation and Hydraulics Lab 🌊

  • General Contracting Engineer (2022–Present) 🧱

  • Structural Design Freelancer (2020–2021) 📐

  • CFD Engineer – Freelance 💻💨

  • Co-founder, CIVIC Construction Company 🏢

Professional Development :

Mohammed Al-Desouky has pursued dynamic professional development through hands-on internships and continuous upskilling 🚀. He completed an intensive 3-month internship with AECOM on Qatar’s Orbital Road Project, gaining cross-disciplinary training in utilities, structural works, and road construction 🛣️🏗️. Technically skilled in CFD simulation tools like ANSYS Fluent and FLOW-3D 💻🔍, he also brings expertise in structural software (SAP2000, ETABS, SAFE) for design and analysis 📊. His passion for practical learning is also evident in his leadership role at CIVIC, combining entrepreneurship with engineering innovation 🤝⚙️. Mohammed continuously aligns his growth with real-world engineering challenges and sustainability goals 🌍.

Research Focus :

Mohammed Al-Desouky’s research centers on sustainable hydropower and hydraulic systems 🔬⚡. His current work investigates energy harvesting from low-head water structures using waterwheels, aiming to optimize designs for pico-hydropower applications 🌊🌀. Combining experimental and numerical methods, including CFD simulations (ANSYS Fluent, FLOW-3D) 💻📈, his research contributes to renewable energy solutions and small-scale power generation in developing areas 🌍⚙️. He also explores techno-economic viability, integrating civil hydraulics, fluid mechanics, and structural analysis to develop practical, cost-effective innovations 💡💰. His publication in Renewable Energy reflects a strong commitment to energy-efficient and environmentally friendly infrastructure development 🌿🔋.

Awards and Honors :

  • 🎓 Graduated with Excellent with Honor in B.Sc. Civil Engineering (2019)

  • 🏅 Publication in Renewable Energy Journal (2024)

  • 🏗️ Selected for AECOM Internship, Orbital Road Project – Qatar

  • 🧠 Co-founded CIVIC Construction Company

Publication Top Notes : 

Title: Techno-economic Assessment of the Dethridge Waterwheel under Sluice Gates in a Novel Design for Pico Hydropower Generation

Journal: Renewable Energy
Publication Date: August 2024
DOI: 10.1016/j.renene.2024.121206
ISSN: 0960-1481

Citation (APA Style):
Saber, M., Abdelall, G., Ezzeldin, R., AbdelGawad, A. F., & Ragab, R. (2024). Techno-economic assessment of the Dethridge waterwheel under sluice gates in a novel design for pico hydropower generation. Renewable Energy, 213, 121206. https://doi.org/10.1016/j.renene.2024.121206

Conclusion :

Mohammed Al-Desouky exemplifies the spirit of the Best Researcher Award through his innovative, applied research and multi-dimensional contributions to civil engineering, education, and sustainable energy. His early achievements and commitment to practical impact position him as a promising researcher with significant potential to influence the future of water infrastructure and renewable energy systems.

Prof. Tian Tian | Renewable Energy | Best Researcher Award

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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

 

 

Mr. Devesh Chand | Renewable Energy | Best Researcher Award

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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

 

Dr. Milada Pezo | Materials | Best Researcher Award

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Dr. Milada Pezo | Materials | Best Researcher Award

Dr. Milada Pezo, Institute of Nuclear Sciences VINČA, Serbia

Dr. Milada Pezo is a distinguished Research Professor at the Institute of Nuclear Sciences VINČA, specializing in mechanical engineering with a focus on energy systems. She earned her BSc, MSc, and PhD from the University of Belgrade, Faculty of Mechanical Engineering. Dr. Pezo’s research covers thermal-hydraulics, energy efficiency, renewable energy sources, and computational fluid dynamics (CFD). A principal investigator for the Serbian-Slovenian bilateral project (2020-2022), she is renowned for advancing numerical modeling of multiphase flows and heat transfer. With over 100 peer-reviewed publications, Dr. Pezo is a leading expert in her field and serves as a subject editor for the prestigious Thermal Science journal. Her work plays a vital role in enhancing industrial applications, process industry optimization, and promoting sustainable energy solutions.

Professional Profile

scopus

orcid

google scholar

Suitability for the Best Researcher Award

Dr. Milada Pezo is a highly qualified candidate for the Best Researcher Award due to her extensive academic achievements, leadership in international research projects, and significant contributions to the fields of thermal-hydraulics, computational multifluid dynamics, and energy efficiency.

🎓    Education 

Dr. Milada Pezo’s academic journey in Mechanical Engineering began at the University of Belgrade, Faculty of Mechanical Engineering. She completed her BSc, MSc, and PhD degrees with a specialized focus on Automatic Control and Thermal Power Engineering. Her education is deeply rooted in interdisciplinary studies, blending mechanical engineering principles with advanced energy systems. Throughout her academic pursuits, she developed expertise in thermal-hydraulics, computational multifluid dynamics, and energy efficiency. Her PhD thesis explored mathematical modeling of heat and mass transfer, contributing to the development of innovative engineering solutions in multiphase flow and renewable energy integration. Dr. Pezo’s academic foundation has been instrumental in driving her career forward, positioning her as an expert in both theoretical and practical applications of mechanical engineering, with a focus on sustainability and renewable energy systems.

💼     Experience

Dr. Milada Pezo boasts extensive experience in mechanical engineering, specifically within the energy sector. She has been a Research Professor at the Institute of Nuclear Sciences VINČA, where she has led pivotal research initiatives in thermal-hydraulics and computational fluid dynamics (CFD). As principal investigator of the Serbian-Slovenian project “Development of Advanced Numerical Modelling Approaches of Multiphase Flows and Heat Transfer for Industrial Application” (2020-2022), she successfully bridged academia and industry, enhancing practical solutions for energy efficiency. Her experience extends beyond academia; she collaborates with industrial partners to optimize energy systems and renewable energy sources. Dr. Pezo is also a subject editor for Thermal Science and regularly contributes her expertise to peer-reviewed publications. Her vast knowledge in thermal-hydraulics, renewable energy integration, and industrial processes solidifies her role as a key influencer in the mechanical engineering field.

🏅 Awards and Honors 

Dr. Milada Pezo has been recognized with numerous awards and honors for her contributions to mechanical engineering, particularly in energy systems. As the principal investigator of the prestigious Serbian-Slovenian bilateral research project (2020-2022), she earned commendations for her innovative work on multiphase flow and heat transfer. Her involvement in the project led to industry-wide recognition, enhancing energy efficiency practices. Dr. Pezo has also been honored by various scientific communities for her editorial work at Thermal Science, where she oversees publications on computational fluid dynamics and heat and mass transfer. With over 100 peer-reviewed articles, Dr. Pezo’s contributions have received multiple citations and accolades from international conferences and journals. Her work in renewable energy, energy efficiency, and thermal-hydraulics has been instrumental in fostering sustainable engineering solutions, leading to numerous invitations to keynote at international forums and participate in expert panels.

🌍   Research Focus 

Dr. Milada Pezo’s research centers on thermal-hydraulics, energy efficiency, and renewable energy systems, utilizing advanced numerical modeling techniques. She specializes in computational fluid dynamics (CFD), with an emphasis on multiphase flow and heat transfer for industrial applications. Her groundbreaking work in granular transportation, mixing, and separation processes within the chemical and energy sectors has significantly impacted energy-efficient designs. A key area of her research is the development of sustainable solutions for renewable energy integration, optimizing heat and mass transfer in multiphase flow systems. Through her role as principal investigator in international collaborative projects, Dr. Pezo has driven innovations in energy-efficient technologies, including solar and wind power systems. Her research efforts also focus on mathematical modeling and simulation, aiming to enhance industrial applications and promote sustainability in energy production and consumption.

 📖 Publication Top Notes

  • Modified screw conveyor-mixers–Discrete element modeling approach
    • Citations: 85
  • DEM/CFD analysis of granular flow in static mixers
    • Citations: 65
  • Dynamical simulation of PV/Wind hybrid energy conversion system
    • Citations: 62
  • Discrete element model of particle transport and premixing action in modified screw conveyors
    • Citations: 50
  • Sustainability estimation of energy system options that use gas and renewable resources for domestic hot water production
    • Citations: 43