Hassan ESMAEILZADEH | Environmental Hypotheses | Environmental Impact Award

Dr Hassan ESMAEILZADEH, Shahid Beheshti University, Iran

Dr. Hassan Esmaeilzadeh is an esteemed Assistant Professor at the Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran 🌍. With extensive expertise in sustainable ecotourism, climate change, spatial planning, and land use changes, he has significantly contributed to urban and environmental research 🏙️📊. He has held multiple academic and research positions, including at Payam Noor University and the Ministry of Interior of Iran 🏛️. As a consultant for Tehran Municipality and various urban planning organizations, Dr. Esmaeilzadeh plays a key role in sustainable city development 🌱🏗️. A prolific author, he has published numerous books, research articles, and project reports 📖✍️. His dedication has earned him prestigious awards, including recognition as Distinguished Ph.D. Student of Iran 🎓🏅. His leadership in research and executive roles showcases his impact on Iran’s environmental and urban policies 🏆🌍.

Education

Dr. Hassan Esmaeilzadeh has an exceptional academic background, ranking first in Iran’s national master’s entrance exam (2001, 2003) 🥇📚. He completed his M.A. at Tarbiat Modares University (2003) and was recognized as the top student 🏅. His Ph.D. in Environmental Planning and Design from Shahid Beheshti University solidified his expertise in sustainability and spatial planning 🌱🏙️. As a Ph.D. scholar at Istanbul University, Turkey (2006-2007), he expanded his research on urban and rural development globally 🌍🎓. His education has enabled him to bridge theoretical frameworks with practical solutions for environmental and urban planning challenges 🌏📝.

Experience

Dr. Esmaeilzadeh has over 20 years of experience in academia, research, and consultancy 🏛️. Since 2012, he has been an Assistant Professor at Shahid Beheshti University 📚🎓. Previously, he served as an Assistant Professor at Payame Noor University (2010-2012) and Islamic Azad University (2008-2012) 📖. Beyond academia, he was a researcher at Iran’s Urban and Rural Research Center (2007-2008) and Sustainable Global City Company (2007-2015) 🏙️🌍. His executive roles include Managing Director of Staya International Company (2008-2013) and consulting for Tehran Municipality since 2012 🏗️. He has also been a consultant for Iran’s Housing Foundation and Tehran City Beautification Organization 🌆🏡. His vast research projects on environmental sustainability, governance, and urban planning have shaped Iran’s policy frameworks 🌍🏛️.

Awards & Honors

Dr. Esmaeilzadeh’s dedication to research excellence has earned him numerous accolades 🏆🎖️. He ranked 1st in the national master’s entrance exam (2001, 2003) 🥇 and was the top M.A. student at Tarbiat Modares University (2003) 📚. He was honored as the top Ph.D. student at Shahid Beheshti University (2010) and Distinguished Ph.D. Student of Iran by the Ministry of Sciences (2009) 🎓🏅. Recognized as an elite researcher, he received the Top Student Award of Shahid Beheshti University (2008) 🌟. His research grants from major institutions, including the Tehran Municipality Research Center, Iranian Railways, and Salehyyeh Municipality, further highlight his impactful contributions 📑💡. His editorial roles in international and Persian journals solidify his influence in environmental and urban studies 📝📖.

Research Focus

Dr. Esmaeilzadeh’s research spans sustainable urban planning, ecotourism, climate change adaptation, and spatial planning 🌱🏙️. He specializes in analyzing land use and land cover (LULC) changes, urban sustainability, and environmental risk assessments 📊🌎. His projects have evaluated ecotourism sustainability using the DPSIR model, water security in Lake Urmia, and future land-use changes in protected areas 🔍🌍. As a consultant for Tehran Municipality, he has led studies on urban governance, spatial development, and resilience planning 🏗️📜. His policy-driven research provides scientific insights for environmental decision-making 💡🏛️. Through his publications, books, and executive roles, he contributes to advancing sustainable urban and environmental policies worldwide 📚🌿.

Minseok Ryu | Energy and Sustainability | Best Researcher Award

Assist Prof Dr Minseok Ryu, Arizona State University, United States

Dr. Minseok Ryu is an Assistant Professor at Arizona State University’s School of Computing and Augmented Intelligence since August 2023 👨‍🏫. He earned his Ph.D. in Industrial and Operations Engineering from the University of Michigan in 2020 🎓. His research focuses on optimization and machine learning applications in power systems and privacy-preserving federated learning 🔍⚡. Dr. Ryu has held positions at Argonne National Laboratory and Los Alamos National Laboratory 🏢. He has received numerous awards, including the 2024 Alliance Fellowship at Mayo Clinic and ASU and multiple research highlights from the DOE-ASCR 🌟.

Publication profile

google scholar

Education

Minseok Ryu holds a Ph.D. in Industrial and Operations Engineering from the University of Michigan, Ann Arbor, which he completed in May 2020 🎓. Before that, he earned an M.S. in Aerospace Engineering from KAIST, Daejeon, Korea, in February 2014 🚀. His academic journey began with a B.S. in Aerospace Engineering from KAIST, which he obtained in February 2012 ✈️.

Employment

Minseok Ryu is currently an Assistant Professor at the School of Computing and Augmented Intelligence at Arizona State University in Tempe, AZ (Aug 2023–present) 📚. Previously, he was a Postdoctoral Appointee at the Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL (Aug 2020–Jul 2023) 🔬. He also worked as a Research Assistant with the Applied Mathematics and Plasma Physics Group, Los Alamos National Laboratory, Los Alamos, NM (May 2019–Aug 2019) 🧪. Additionally, he served as a Post Baccalaureate Research Fellow at the Kellogg School of Management, Northwestern University, Evanston, IL (Nov 2014–Apr 2015) 🎓.

Honors & Awards

Minseok Ryu has achieved numerous accolades throughout his career. In 2024, he was honored as an Alliance Fellow by the Mayo Clinic and ASU Alliance for Health Care and participated in the Faculty Summer Residency program. His research was highlighted by the Department of Energy’s Advanced Scientific Computing Research (DOE-ASCR) in both 2023 and 2022. Ryu received the Rackham Graduate Student Research Grant in 2016 and multiple fellowships from the University of Michigan in 2015. Additionally, he earned the National Science Foundation Student Award from INFORMS Computing Society. Earlier, he received the National Scholarship from the Korean government (2010-2013) and accolades from KAIST, including the Department Honor and Best Technical Poster Award in 2010. 🎓🔬📊

Presentations

Minseok Ryu has made significant contributions to various fields, presenting his research at numerous esteemed conferences. His work includes heuristic algorithms for geomagnetically induced current blocking devices (Paris, June 2024) 🌍⚡, generating columns (Phoenix, Oct 2023) 📝, and differentially private algorithms for constrained federated learning (Seattle and Amsterdam, 2023) 🔒🤖. He has also focused on privacy-preserving federated learning frameworks (Arlington, Aug 2022; Virtual, June 2022) 🛡️📡. Additionally, he has explored optimal power flow control, transmission expansion planning, and robust optimization in healthcare staffing across various platforms including INFORMS, SIAM, and international symposiums 🌐🧑‍⚕️

Research focus

Minseok Ryu’s research primarily focuses on data-driven optimization and privacy-preserving techniques, particularly in federated learning and power systems. His work spans several areas, including robust optimization under uncertainty, privacy-preserving distributed control, and federated learning frameworks. Key applications include improving nurse staffing models, optimizing electric grids against geomagnetic disturbances, and developing secure frameworks for federated learning in biomedical research. Ryu’s contributions are significant in ensuring privacy and robustness in distributed systems and optimization problems. 🧠🔒💡🔋👩‍⚕️