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. 🧠🔒💡🔋👩‍⚕️

Publication top notes

Data-Driven Distributionally Robust Appointment Scheduling over Wasserstein Balls

APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning

A Privacy-Preserving Distributed Control of Optimal Power Flow

An extended formulation of the convex recoloring problem on a tree

Nurse Staffing under Absenteeism: A Distributionally Robust Optimization Approach

Differentially private federated learning via inexact ADMM with multiple local updates

Mitigating the Impacts of Uncertain Geomagnetic Disturbances on Electric Grids: A Distributionally Robust Optimization Approach

Algorithms for Mitigating the Effect of Uncertain Geomagnetic Disturbances in Electric Grids

Development of an Engineering Education Framework for Aerodynamic Shape Optimization

Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx

Atena Mirbolook | Environmental Science | Best Researcher Award

Dr Atena Mirbolook, Urmia University, Iran

Dr. Atena Mirbolook is a distinguished soil scientist with a Ph.D. in Soil Chemistry and Fertility from Urmia University (2014-2020) 🌱. She also holds an M.S. and B.S. in Agriculture Engineering – Soil Science from Ferdowsi University of Mashhad 🌾. As a lecturer at Payame Noor University and an educational expert at Ferdowsi University, she has made significant contributions to soil science research. Her work focuses on innovative fertilizers to enhance nutrient uptake and crop yields. Dr. Mirbolook has published extensively, with notable research on slow-release fertilizers and nutrient efficiency 📚. She is an active member of the Iranian Soil Science Association 🌐.

Publication profile

google scholar

Education

I hold a Ph.D. in Soil Chemistry and Fertility from Urmia University, where I was the top graduate in 2020 🏆. Prior to this, I earned my M.S. in Agricultural Engineering with a focus on Soil Science from Ferdowsi University in Mashhad, graduating as the second top student in 2006 🥈. My academic journey began with a B.S. in Agricultural Engineering, also from Ferdowsi University, where I graduated as the second top student in 2003 🌱. My educational background has provided me with a strong foundation in soil science and agricultural engineering.

Experience

As a lecturer at Payame Noor University in Mashhad, Iran, I bring a wealth of expertise in educational practices, supported by my role as an educational expert at Ferdowsi University. My involvement with the Iranian Soil Science Association underscores my dedication to advancing environmental knowledge. Additionally, as a research and development expert at Song of Soil & Sun Fajr Parsian Company, I actively contribute to innovative initiatives in agriculture and environmental sustainability. 🌱 My career path reflects a commitment to education, research, and practical application, aimed at fostering a deeper understanding of soil science and its implications for our environment.

Research focus

Dr. A. Mirbolook’s research primarily focuses on enhancing nutrient uptake efficiency in plants through innovative fertilization strategies. 🌱 His work spans the synthesis and application of chelates such as Zn-amino acid and -chitosan complexes to improve zinc uptake in beans and wheat. Additionally, he explores the fortification of bread wheat with micronutrients like zinc and iron through organic complexes, highlighting their efficacy compared to traditional forms like ZnSO4. 🍞 His studies contribute significantly to agricultural sustainability by investigating novel slow-release fertilizers and their impact on crop growth, nutrient concentrations, and yield, addressing critical issues in modern farming practices.