Mahdi Gandomzadeh – Environmental Biophotonics Research – Best Researcher Award

Mahdi Gandomzadeh - Environmental Biophotonics Research - Best Researcher Award

Shahid Behshti University - Iran

AUTHOR PROFILE

GOOGLE SCHOLAR

🌞 EARLY ACADEMIC PURSUITS

Mahdi Gandomzadeh's academic journey began with a B.Sc. in Electrical Power Engineering from Ferdowsi University, followed by an M.Sc. in Renewable Energy Engineering at Shahid Beheshti University. His research focused on uncertainty modeling in distributed generation and microgrids. Currently pursuing a Ph.D. in Renewable Energy Engineering, he is investigating environmental factors affecting solar photovoltaic system performance​.

⚡ PROFESSIONAL ENDEAVORS

Gandomzadeh has been actively engaged in renewable energy research as a Research Assistant at Shahid Beheshti Renewable Energy Labs. His expertise extends to hybrid energy systems, solar photovoltaics, and smart grids. He has collaborated on multiple national projects, focusing on optimizing power distribution and energy management systems​.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

His research primarily revolves around dust mitigation in PV systems, energy forecasting, and hybrid renewable energy solutions. His studies integrate machine learning with environmental modeling to enhance solar energy efficiency. His contributions aim to bridge the gap between academia and industrial applications, ensuring a more reliable and sustainable energy future​.

🏆 ACCOLADES AND RECOGNITION

Recognized for his contributions, Gandomzadeh has received prestigious awards, including the Best Student Award from the Iranian National Elite Foundation. He has also been acknowledged in renewable energy competitions, ranking among the top teams in smart city and startup innovation programs​.

🌍 IMPACT AND INFLUENCE

His work in photovoltaic efficiency and hybrid energy systems has influenced sustainable power solutions in Iran and beyond. Through extensive collaborations with international researchers, he contributes to energy policy development and innovative renewable energy frameworks. His insights into smart grid optimization have practical applications for modernizing power networks​.

🚀 LEGACY AND FUTURE CONTRIBUTIONS

Gandomzadeh’s future research aims to enhance the reliability of solar energy systems through AI-driven predictive models and multi-criteria decision-making. His continued efforts in clean energy innovation will contribute to global sustainability goals, positioning him as a leading researcher in the field of renewable energy engineering​.

NOTABLE PUBLICATION

Optimize photovoltaic panels cleaning scheduling framework based on variations of hourly-based active electricity pricing in the market
Authors: AA Yaghoubi, M Gandomzadeh, A Gholami, RG Ghoachani, M Zandi
Journal: Solar Energy

Insights and research trends of dust and cleaning in solar energy: a bibliometric review study
Authors: A Hoorsun, M Gandomzadeh, AA Yaghoubi, A Parsay, A Gholami
Journal: 2024 9th International Conference on Technology and Energy Management (ICTEM)

A review on machine learning model implementation for photovoltaic systems
Authors: AA Yaghoubi, M Gandomzadeh, A Parsay, A Gholami
Journal: 2024 11th Iranian Conference on Renewable Energy and Distribution Generation

Dust mitigation methods and multi-criteria decision-making cleaning strategies for photovoltaic systems: Advances, challenges, and future directions
Authors: M Gandomzadeh, AA Yaghoubi, A Hoorsun, A Parsay, A Gholami
Journal: Energy Strategy Reviews

Purposeful Learning Booklet, a method for teaching Engineering
Authors: M Gandomzadeh, E Malandish, R Gavagsaz-Ghoachani, H Jafari
Journal: ICTechEd — The 6th International Conference on Technical Education (ICTechEd6)

Kim Min-keyong – Environmental Biophotonics Research – Best Researcher Award

Kim Min-keyong - Environmental Biophotonics Research - Best Researcher Award

Korea Railroad Research Institute - South Korea

AUTHOR PROFILE

ORCID

SCOPUS

🌍 EARLY ACADEMIC PURSUITS

Kim Min-keyong’s academic journey began with a strong foundation in environmental engineering, leading to a Ph.D. in Environmental Planning from Sungkyunkwan University. His research focused on sustainable urban development and environmental impact assessments, setting the stage for his contributions to environmental science and railway infrastructure planning.

🚆 PROFESSIONAL ENDEAVORS

Currently a Senior Researcher at the Korea Railroad Research Institute, Kim has been actively involved in environmental management and railway sustainability projects. His expertise extends to air quality monitoring, GIS-based environmental planning, and integrating AI with transportation infrastructure for eco-friendly solutions.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Kim's research revolves around air quality assessment, railway development, and digital transformation in environmental planning. He has developed innovative air purification technologies and environmental assessment models for railway systems. His studies on volatile organic compounds and particulate matter have contributed to sustainable transportation policies.

🏆 ACCOLADES AND RECOGNITION

As a recognized expert in environmental science, Kim has authored numerous SCI and Scopus-indexed publications on air pollution and railway emissions. His research has led to multiple patents in air purification and environmental monitoring technologies, reflecting his commitment to advancing clean energy solutions in transportation.

🌱 IMPACT AND INFLUENCE

His work has influenced national and international policies on railway environmental management. Through advisory roles in major transportation corporations, Kim has contributed to environmental regulations and sustainable railway infrastructure development, ensuring a greener future for urban transit systems.

🚀 LEGACY AND FUTURE CONTRIBUTIONS

Kim Min-keyong’s legacy is defined by his groundbreaking research in railway environmental impact assessment and air purification technologies. His future work aims to integrate AI and digital twin modeling into sustainable transportation planning, shaping the next generation of eco-friendly railway systems.

NOTABLE PUBLICATION

Title: Digitalization for the environmental impact assessment of railway projects using drones and lidar
Authors: Kim, M.-K.; Park, D.; Hwang, D.; Kim, D.H.; Seo, G.S.
Journal: Research Square

Title: GIS-Based Analysis of Volatile Organic Compounds in Bucheon, Korea, Using Mobile Laboratory and Proton-Transfer-Reaction Time-of-Flight Mass Spectrometry Methods
Authors: Min Kyeong Kim; Daeho Kim; Jung-Young Seo; Duckshin Park
Journal: Toxics

Title: Characterization of bacterial species and antibiotic resistance observed in Seoul, South Korea's popular Gangnam-gu area
Authors: Sharma, S.; Bakht, A.; Jahanzaib, M.; Kim, M.; Lee, H.; Park, C.; Park, D.
Journal: Heliyon

Title: Determination of the Spatial Distribution of Air Pollutants in Bucheon, Republic of Korea, in Winter Using a GIS-Based Mobile Laboratory
Authors: Kim, M.; Kim, D.; Jang, Y.; Lee, J.; Ko, S.; Kim, K.; Park, C.; Park, D.
Journal: Toxics

Title: Establishment of a Landscape Information Model (LIM) and AI Convergence Plan through the 3D Digital Transformation of Railway Surroundings
Authors: Kim, M.-K.; Park, D.; Yun, S.; Park, W.-H.; Lee, D.; Chung, J.-D.; Chung, K.-J.
Journal: Drones