Minseok Ryu | Power Systems Computation | Best Researcher Award

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Assist Prof Dr. Minseok Ryu | Power Systems Computation | Best Researcher Award

PHD at the University of Michigan, United States

Minseok Ryu is an Assistant Professor at Arizona State University’s School of Computing and Augmented Intelligence. He earned his Ph.D. in Industrial and Operations Engineering from the University of Michigan in 2020. Prior to his current role, he held a postdoctoral position at Argonne National Laboratory and conducted research at Los Alamos National Laboratory. Ryu’s expertise spans privacy-preserving federated learning, optimization, and power system resilience. He has secured significant funding, including from DOE-ASCR and NSF, and developed the open-source APPFL package for federated learning. Ryu is actively involved in professional societies like INFORMS and IEEE, contributing to conferences and serving as a panelist for NSF reviews.

Professional Profiles

Education

Ph.D. Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI; May 2020 M.S. Aerospace Engineering, KAIST, Daejeon, Korea; Feb 2014 B.S. Aerospace Engineering, KAIST, Daejeon, Korea; Feb 2012

Work Experience

Assistant Professor, School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ Aug 2023–present Postdoctoral Appointee, Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL Aug 2020–Jul 2023 Research Assistant, Applied Mathematics and Plasma Physics Group, Los Alamos National Laboratory, Los Alamos, NM May 2019–Aug 2019 Post Baccalaureate Research Fellow, Kellog School of Management, Northwestern University, Evanston, IL Nov 2014–Apr 201

Honors & Awards

2024 Alliance Fellow, Mayo Clinic and ASU Alliance for Health Care 2023 Highlighted Research, Department of Energy, Advanced Scientific Computing Research (DOE-ASCR) 2022 Highlighted Research, DOE-ASCR

Professional Activities

Membership in Professional Societies: INFORMS, IEEE, IISE, SIAM Proposal Review: Panelist for National Science Foundation (NSF) Journal/Conference Review: Numerous journals and conferences including IEEE Transactions on Power Systems, Management Science, and others.

Research Focus

Minseok Ryu’s research primarily focuses on advanced optimization techniques and privacy-preserving federated learning systems. His work spans several key areas including privacy-preserving distributed control in power systems, data-driven distributionally robust optimization for scheduling, and mitigating uncertain disturbances in electric grids. Ryu has also contributed significantly to the development of algorithms for differentially private federated learning, enhancing security and robustness in biomedical research and heterogeneous computing environments. His expertise extends to heuristic algorithms for geomagnetically induced current blocking devices, showcasing a deep commitment to advancing resilient infrastructure and secure data handling in complex operational environments.

Publications

  1. A GPU-based Distributed Algorithm for Linearized Optimal Power Flow in Distribution Systems, Publication date: 2023.
  2. Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx (preprint), Publication date: 2023.
  3. Efficient Heuristic Approaches to Binary Optimization: a Sensor Placement Application, Publication date: 2023.
  4. APPFLX: Providing privacy-preserving cross-silo federated learning as a service, Publication date: 2023.
  5. Heuristic Algorithms for Placing Geomagnetically Induced Current Blocking Devices, Publication date: 2023.
  6. Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx, Publication date: 2022.
  7. APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning, Publication date: 2022.
  8. A Privacy-Preserving Distributed Control of Optimal Power Flow, Publication date: 2022.
  9. Differentially private federated learning via inexact ADMM with multiple local updates, Publication date: 2022.
  10. Mitigating the Impacts of Uncertain Geomagnetic Disturbances on Electric Grids: A Distributionally Robust Optimization Approach,  Publication date: 2022.
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Lin Li | Power engineering

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Prof. Lin Li: Power engineering

Associate Professor at Dalian University of Technology, China

Congratulations, Prof. Lin Li, on winning the esteemed Best Researcher Award from ScienceFather! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!🔬

He has  associate professor and doctoral supervisor at Dalian University of Technology, specializing in solar interfacial evaporation and moisture-powered electricity generation. Recognized for pioneering research in electronic skin and sustainable energy solutions, with a strong publication record and significant contributions to the field through national and international projects.🌌

Professional Profiles:

Education:

  • PhD in Dalian University of Technology, China, 2005 – 2013⚡🔧

Areas of Specialization

  • Power engineering
  • Engineering Thermophysics

Professional Experience

Associate Professor, Dalian University of Technology 2019.01- Present

  • Leading research in solar interface evaporation and moisture-powered electricity generation.
  • Supervising doctoral research and guiding students in advanced energy research projects.

Academic Contributions and Leadership

Delivered 11 keynote speeches at major academic conferences. Served as a session chair once and as a committee member in organizing 5 academic conferences. Rising Star Young Editor for Elsevier’s journal “DeCarbon“. Member of the American Chemical Society (ACS) and the World Society of Sustainable Energy Technologies (WSSET).🔍📐

Peer Reviewer & Academic Engagements

  • Citations: 1850 (All), 1684 (Since 2018)
  • h-index: 26 (All), 26 (Since 2018)
  • i10-index: 38 (All), 38 (Since 2018)

Publications: 71 documents indexed in Scopus.

Research Highlights

First or corresponding author of 40 SCI papers in prestigious journals, including covers in Energy & Environmental Science, Advanced Materials, and others.  Principal investigator in two National Natural Science Foundation of China general projects and one youth project.  Contributed to national major instrument development projects and international cooperation projects in sustainable energy.🔌💡

Selective Publications (JOURNALS)

  • High‐Performance, Highly Stretchable, Flexible Moist‐Electric Generators via Molecular Engineering of Hydrogels H Zhang, N He, B Wang, B Ding, B Jiang, D Tang, L Li Advanced Materials, 2300398
  • Ion engines in hydrogels boosting hydrovoltaic electricity generation N He, H Wang, F Li, B Jiang, D Tang, L Li Energy & Environmental Science
  • Ion‐Transfer Engineering via Janus Hydrogels Enables Ultrahigh Performance and Salt‐Resistant Solar Desalination N He, Y Yang, H Wang, F Li, B Jiang, D Tang, L Li Advanced Materials, 2300189
  • Highly salt‐resistant 3D hydrogel evaporator for continuous solar desalination via localized crystallization L Li, N He, B Jiang, K Yu, Q Zhang, H Zhang, D Tang, Y Song Advanced Functional Materials 31 (43), 2104380
  • Defect-engineered MXene monolith enabling interfacial photothermal catalysis for high-yield solar hydrogen generation Q Zhang, L Li, H Zhang, N He, B Wang, D Ying, X Zhang, B Jiang, D Tang Cell Reports Physical Science 3 (5)
  • Strong tough hydrogel solar evaporator with wood skeleton construction enabling ultra‐durable brine desalination L Li, N He, S Yang, Q Zhang, H Zhang, B Wang, T Dong, H Wang, B Jiang, … EcoMat 5 (1), e12282
  • Superaerophobic Resin‐Grafted rGO Aerogel with Boosted Product Removal Delivering High‐Performance Hydrogen Release at Ultrahigh Storage Density Q Zhang, B Jiang, B Wang, N He, K Liu, D Tang, L Li Small 18 (49), 2204647
  •  Bioinspired hierarchical evaporator via cell wall engineering for highly efficient and sustainable solar desalination H Zhang, L Li, N He, H Wang, B Wang, T Dong, B Jiang, D Tang EcoMat 4 (5), e12216
  • Mosaic Patterned Surfaces toward Generating Hardly‐Volatile Capsular Droplet Arrays for High‐Precision Droplet‐Based Storage and Detection L Jiao, Y Wu, Y Hu, Q Guo, H Wu, H Yu, L Deng, D Li, L Li Small 19 (14), 2206274
  • Mangrove root-inspired evaporator enables high-rate salt-resistant solar desalination B Wang, H Zhang, N He, H Wang, B Jiang, D Tang, L Li Separation and Purification Technology 314, 123490