Mahdi Gandomzadeh | Renewable Energy | Young Scientist Award

Mr. Mahdi Gandomzadeh | Renewable Energy | Young Scientist Award

Mr. Mahdi Gandomzadeh at Shahid Behshti University, Iran

Mahdi Gandomzadeh is a dedicated Renewable Energy Engineer specializing in solar photovoltaics, hybrid systems, and power grid optimization. With a strong background in electrical engineering, he has contributed significantly to research, innovation, and academia. His work focuses on enhancing solar energy efficiency, mitigating dust impact, and advancing intelligent maintenance strategies. As a research assistant, he collaborates on various projects to improve energy sustainability. A recipient of prestigious awards, he actively engages in academic mentorship, startups, and technical advancements. His expertise extends to modeling, simulation, and energy storage systems, making him a promising researcher in renewable energy.

Publication Profile

Google Scholar

Educational Background🎓

Mahdi Gandomzadeh is pursuing a Ph.D. in Renewable Energy Engineering (2022-2026) at Shahid Beheshti University, Tehran, with a focus on solar photovoltaic system performance. He completed his M.Sc. in Renewable Energy Engineering (2017-2020) from the same university, where he researched uncertainty modeling in Iran’s power grid. His B.Sc. in Electrical Engineering – Power (2013-2017) was from Ferdowsi University, Mashhad, where he evaluated power factor and voltage stability in coal industries. His strong academic foundation has paved the way for groundbreaking research in renewable energy systems and grid integration.

Professional Background🏆

Mahdi has gained diverse research and industry experience. Since 2017, he has been an Electrical & Energy Engineer at Shahid Beheshti Renewable Energies Engineering Labs. He has worked as a Research Assistant in Solar Photovoltaic and Solar Thermal Teams, contributing to advanced solar energy solutions. His industrial expertise includes being a Hybrid Energy Systems Expert at Tehran’s Municipality (2018) and a Senior Researcher at Tabas Parvadeh Coal Company (2016-2017). Additionally, he has been an educational assistant in various electrical and renewable energy courses, shaping the next generation of energy engineers.

Awards and Honors🏅

Mahdi has received prestigious recognitions for his contributions to renewable energy. In 2024, he won the Best Student Award from the National Foundation of Iranian Elites. His innovative work placed him among the top ten teams in the Smart City Start-up Weekend by Tehran’s Municipality (2018). He also secured first place in the 9th Start-up Trigger at Sharif University of Technology (2018) in the energy sector. These accolades highlight his dedication, leadership, and impactful contributions to renewable energy research, innovation, and technology advancement.

Research Focus🔬

Mahdi’s research revolves around solar energy optimization, hybrid power systems, and grid integration. He specializes in solar photovoltaic efficiency, focusing on dust mitigation, uncertainty modeling, and intelligent cleaning strategies. His work includes machine learning applications in solar forecasting, energy storage solutions, and smart grid advancements. He has published numerous peer-reviewed papers on solar panel maintenance, energy management, and multi-criteria decision-making strategies. His contributions aim to improve renewable energy sustainability by addressing environmental challenges and enhancing energy reliability in distributed and grid-connected systems.

Publication Top Notes

1️⃣ Enhancing Photovoltaic Efficiency: An In-depth Systematic Review and Critical Analysis of Dust Monitoring, Mitigation, and Cleaning Techniques 📖
Year: 2025 | Journal: Applied Energy 388, 125668

2️⃣ Dust Mitigation Methods and Multi-Criteria Decision-Making Cleaning Strategies for Photovoltaic Systems: Advances, Challenges, and Future Directions 🌞
Year: 2025  | Journal: Energy Strategy Reviews 57, 101629

3️⃣ Revolutionizing Solar Panel Maintenance in Photovoltaic Systems: Reviewing Intelligent UAV Solutions for Efficient Dust Mitigation and Perspectives 🚁
Year: 2024

4️⃣ Harnessing Machine Learning with Advanced Linear Regression Models to Forecast PV System 🤖
Year: 2024

Conclusion

Mahdi Gandomzadeh is a distinguished young researcher in renewable energy, specializing in solar photovoltaic efficiency, dust mitigation, and hybrid energy systems. With a Ph.D. in Renewable Energy Engineering and multiple high-impact publications in journals like Applied Energy and Energy Strategy Reviews, his work contributes significantly to advancing solar energy technologies. His expertise spans grid integration, uncertainty modeling, and advanced simulation tools. Recognized with the Best Student Award by the National Foundation of Iranian Elites (2024), he has also excelled in academic teaching and innovation. His achievements make him a strong candidate for the Research for Young Scientist Award.

 

Ferenc Ács | Human biometeorology | Best Researcher Award

Assoc. Prof. Dr. Ferenc Ács | Human biometeorology | Best Researcher Award

Assoc. Prof. Dr. Ferenc Ács, University Eötvös Loránd, Institute of Geography and Earth Sciences, Department of Meteorology, Hungary

Ferenc Ács, born on December 28, 1955, in Novi Sad, Serbia, is a distinguished meteorologist specializing in atmospheric sciences. He earned his BSc in Physics from the University of Novi Sad in 1979 and his MSc in Meteorology from the University of Belgrade in 1989. After serving as a research associate in Austria and Germany, he joined Eötvös Loránd University (ELTE) in Hungary in 1994. Dr. Ács obtained his habilitation degree in 2008 with a focus on soil-plant-atmosphere interactions. His research spans heat and water transport, evapotranspiration, and climate classification. Since 2016, he has concentrated on human biometeorology, developing clothing thermal resistance models. Retired since 2021, he remains a lecturer at ELTE, contributing significantly to the field.

Publication Profile

Orcid

Education 🎓

Ferenc Ács completed his BSc in Physics at the University of Novi Sad in 1979, where he built a strong foundation in atmospheric physics. In 1989, he pursued an MSc in Meteorology at the University of Belgrade, focusing on the development of a multi-layer vegetation model for atmospheric studies. His MSc thesis explored the relationship between transpiration and vegetation’s physical and biological properties. His academic pursuits continued at Eötvös Loránd University (ELTE), where he obtained his habilitation degree in 2008. His thesis on the interaction processes within the soil-plant-atmosphere system showcased his expertise in environmental modeling.

Experience 🧑‍🔬

Dr. Ferenc Ács has an extensive career in meteorology. From 1992 to 1994, he served as a scholarship holder and research associate in Vienna, Austria, and Braunschweig, Germany. In 1994, he joined ELTE’s Department of Meteorology, contributing as a researcher and lecturer. His focus included soil and water transport processes, convective precipitation, and boundary layer dynamics. After obtaining his habilitation degree in 2008, Dr. Ács expanded his expertise into human biometeorology, specifically researching clothing thermal resistance and human thermal comfort. Despite his retirement in 2021, he continues his collaboration with ELTE as a lecturer, enriching the field of atmospheric sciences.

Research Focus 🔎

Dr. Ferenc Ács’s research primarily covers atmospheric and environmental science. His initial studies addressed heat and water transport in soil, evapotranspiration processes, and convective precipitation. He also investigated planetary boundary layer dynamics, lightning frequency, and climate classification. Since 2016, he has shifted his focus to human biometeorology, concentrating on the development of clothing thermal resistance models to assess the impact of climate and weather on human thermal comfort. His multidisciplinary approach combines physical and biological modeling, contributing significantly to understanding human-environment interactions.

 

Publication Top Notes

  • Human thermal bioclimate of the Swiss-Austrian alpine region based on estimates of the clothing thermal resistance model (2025) – 📖 DOI: 10.1007/s00704-025-05433-y

  • Hogyan optimalizálható a lakások fűtése és hűtése egyszerű lépésekkel? (2024) –  📖 DOI: 10.31852/EMF.36.2024.073.077

  • Comparison of human thermal loads on foggy and cloudless mornings (2024) –  📖 DOI: 10.21203/rs.3.rs-4085090/v1

  • On the Human Thermal Load in Fog (2024) –  📖 DOI: 10.3390/meteorology3010004

  • Individual local human thermal climates in the Hungarian lowland: Estimations by a simple clothing resistance‐operative temperature model (2023) – 📖 DOI: 10.1002/joc.7910

  • New statistical deterministic method for estimating human thermal load and sensation — application in the Carpathian region (2023) – 📖 DOI: 10.1007/s00704-022-04297-w

  • A 2021-es balatoni strandszezon hosszának becslése meteorológiai és humánmeteorológiai információk alapján (2022) –  📖 DOI: 10.31852/EMF.34.2022.078.083

  • Projected changes in Feddema climate characteristics in the Larger Carpathian Region by the end of the 21st century (2022)  📖 DOI: 10.1002/joc.7558

  • Clothing resistance and potential evapotranspiration as thermal climate indicators—The example of the Carpathian region (2021) –  📖 DOI: 10.1002/joc.7008

  • Human thermal climate of the Carpathian Basin (2021) – 📖 DOI: 10.1002/joc.6816

  • Larger Carpathian region climate according to Köppen, Feddema and the Worldwide Bioclimatic Classification System methods (2021) –  📖 DOI: 10.1002/joc.6859

  • Carpathian Basin climate according to Köppen and a clothing resistance scheme (2020) –  📖 DOI: 10.1007/s00704-020-03199-z

  • A túrázás humánmeteorológiai szempontból: 2. rész: gyakorlati alkalmazások (2018) –  📖 DOI: 10.31852/EMF.30.2018.022.027

  • Climate and climate change in the Austrian–Swiss region of the European Alps during the twentieth century according to Feddema (2018) -📖 DOI: 10.1007/s00704-017-2230-6

conclusion

Dr. Ferenc Ács is a strong candidate for the Research for Best Researcher Award. His impactful work in climate classification, biometeorology, and atmospheric interactions demonstrates his significant influence in the field.