Assistant Professor at OSAKA UNIVERSITY / SANKEN, Japan

Summary:

Dr. Shreyam Chatterjee is a Specially Appointed Assistant Professor in the Department of Soft Nanomaterials at ISIR, Osaka University. He received his Ph.D. in Chemistry from the Indian Association for the Cultivation of Science (IACS), Kolkata, under the guidance of Prof. Arun Kumar Nandi. Dr. Chatterjee’s research interests include the development of novel π-conjugated systems for organic semiconductors used in organic electronics, such as organic solar cells (OSCs) and organic field-effect transistors (OFETs). His contributions to the field of organic photovoltaics have resulted in multiple patents and international recognition. He has secured research funding from prestigious institutions like the University College London (UCL) and Osaka University, highlighting his leadership in developing greener organic photovoltaics. Dr. Chatterjee has also been featured in several prominent publications, including the Journal of Materials Chemistry A and Nikkan Kogyo Shimbun.

Professional Profile:

👩‍🎓Education:

Ph.D. in Chemistry (2008-2013): Indian Association for the Cultivation of Science (IACS), Jadavpur, Kolkata, India. Supervised by Prof. Arun Kumar Nandi.
B.Ed. (Bachelor of Education) (2007-2008): The University of Burdwan, First Class.
M.Sc. in Chemistry (2005-2007): The University of Burdwan, First Class.
B.Sc. in Chemistry (2002-2005): Burdwan Raj College, First Class.
Awarded Memorial Prize for highest marks in practicals.

🏢 Professional Experience:

Specially Appointed Assistant Professor, Department of Soft Nanomaterials, ISIR, Osaka University (2021–Present).
- Research collaboration with Prof. Yutaka Ie, focusing on organic semiconductors for applications in organic electronics.
Specially Appointed Assistant Professor, ISIR, Osaka University (2020–2021).
- Selected from Osaka University for continuation in research related to organic photovoltaics.
Specially Appointed Researcher, ISIR, Osaka University (2018–2020).
- Worked under Prof. Yoshito Tobe on developing π-conjugated systems.
Specially Appointed Assistant Professor, ISIR, Osaka University (2017–2018).
- Research on organic semiconductors with Prof. Yoshio Aso.
Specially Appointed Researcher, ISIR, Osaka University (2013–2017).
- Continued research on developing novel organic acceptor materials with Prof. Yoshio Aso.

Research Interests:

Dr. Shreyam Chatterjee’s research focuses on the development of novel π-conjugated systems for use in organic semiconductors in organic electronics, particularly in organic solar cells (OSCs) and organic field-effect transistors (OFETs). His work emphasizes the creation of large-area processable, lightweight, and flexible organic electronic devices. A key aspect of his research involves developing organic acceptor materials compatible with cost-effective, bulk-available donor polymer poly(3-hexyl thiophene) (P3HT). His innovations have led to power conversion efficiencies of around 6.00% and the production of a 1.00-meter OPV-solar module via a roll-to-roll process for practical applications. His research results have been published in highly reputed international journals, and he has produced multiple patents related to organic semiconductors and solar cells.

Selected Achievements and Honors:

2022: Awarded the University College London (UCL)-Osaka University (OU) Strategic Partner Research Fund for “Developing and understanding new materials for even greener organic photovoltaics” (£10,000).
2021: Awarded the UCL-OU Strategic Partner Research Fund for “Development of Novel Materials for Green Organic Photovoltaics” (£10,000).
2021: Featured as an Emerging Investigator in the Journal of Materials Chemistry A.
2021: Guest Editor for the Frontiers in Materials special issue on Innovators in Energy Materials.
2008: Qualified for the National Eligibility Test (NET) (CSIR) and Graduate Aptitude Test in Engineering (GATE).

Author Metrics:

Research Articles: Published in high-impact journals such as Nature Communications, Journal of Materials Chemistry A, and others.
Citations: His work has been widely cited by the scientific community, reflecting the impact of his contributions to organic electronics and photovoltaics.
Patents: Dr. Chatterjee has filed multiple patents for novel organic semiconductor materials and processes

Top Noted Publication:

“Changing the morphology of polyaniline from a nanotube to a flat rectangular nanopipe by polymerizing in the presence of amino-functionalized reduced graphene oxide and its…”

Authors: S. Chatterjee, R.K. Layek, A.K. Nandi
Published in: Carbon, Vol. 52, Pages 509-519, 2013
Citations: 81
Summary: This study focuses on the morphological transformation of polyaniline (PANI) from nanotubes to flat rectangular nanopipes by polymerizing in the presence of amino-functionalized reduced graphene oxide. The work highlights the impact of graphene oxide on the morphological and conductive properties of polyaniline, which could have implications for its use in advanced materials and electronics.

“Nonfullerene acceptors for P3HT-based organic solar cells”

Authors: S. Chatterjee, S. Jinnai, Y. Ie
Published in: Journal of Materials Chemistry A, Vol. 9, Issue 35, Pages 18857-18886, 2021
Citations: 63
Summary: This paper reviews the use of nonfullerene acceptors (NFAs) in P3HT-based organic solar cells, providing an overview of the structural design, synthesis, and performance of these acceptors. It emphasizes the potential of NFAs to improve the efficiency of polymer-based solar cells, which are pivotal for the development of cost-effective and large-area photovoltaic devices.

“Naphtho[1,2‐c:5,6‐c′]bis[1,2,5]thiadiazole‐Containing π‐Conjugated Compound: Nonfullerene Electron Acceptor for Organic Photovoltaics”

Authors: S. Chatterjee, Y. Ie, M. Karakawa, Y. Aso
Published in: Advanced Functional Materials, Vol. 26, Issue 8, Pages 1161-1168, 2016
Citations: 57
Summary: This research introduces a novel naphtho[1,2‐c:5,6‐c′]bis[1,2,5]thiadiazole‐based nonfullerene electron acceptor for organic photovoltaics (OPVs). The study investigates the material’s electronic properties and its potential for improving the efficiency and stability of OPVs, highlighting its applicability for next-generation solar energy solutions.

“Nanochannel morphology of polypyrrole–ZnO nanocomposites towards dye sensitized solar cell application”

Authors: S. Chatterjee, A. Shit, A.K. Nandi
Published in: Journal of Materials Chemistry A, Vol. 1, Issue 39, Pages 12302-12309, 2013
Citations: 43
Summary: This study explores the creation of polypyrrole–ZnO nanocomposites with nanochannel morphology, which are applied in dye-sensitized solar cells (DSSCs). The work examines how the unique morphology of these nanocomposites improves their photovoltaic performance and offers insights into the design of efficient DSSCs.

“Dye-sensitized solar cell from polyaniline–ZnS nanotubes and its characterization through impedance spectroscopy”

Authors: A. Shit, S. Chatterjee, A.K. Nandi
Published in: Physical Chemistry Chemical Physics, Vol. 16, Issue 37, Pages 20079-20088, 2014
Citations: 39
Summary: This paper details the fabrication of dye-sensitized solar cells using polyaniline–ZnS nanotubes and investigates their performance through impedance spectroscopy. The research discusses the charge transport and recombination mechanisms within the solar cells, shedding light on improving efficiency in solar energy applications.

Conclusion:

Dr. Shreyam Chatterjee is a highly suitable candidate for the Best Researcher Award, given his exceptional contributions to sustainable energy research through innovative organic electronics. His impactful research, demonstrated through numerous high-impact publications, patents, and international collaborations, positions him as a leader in the field. By further expanding the interdisciplinary reach of his work and increasing his mentorship activities, Dr. Chatterjee can continue to elevate his profile as a pioneering researcher in sustainable energy solutions.

Daniel Mutia Mwendwa | Energy Systems | Best Researcher Award

Posted on 13/09/202413/09/2024 by Best Paper Award

Mr. Daniel Mutia Mwendwa | Energy Systems | Best Researcher Award

Daniel Mutia Mwendwa at University of Oxford, United Kingdom

Summary:

Daniel Mutia Mwendwa is a Rhodes Scholar currently pursuing a DPhil in Engineering Science at the University of Oxford, where his research focuses on geospatial analysis of solar-powered irrigation systems in Sub-Saharan Africa. He holds an MSc in Energy Systems (Distinction) from Oxford and a BEng (First Class Honours) in Electronics and Electrical Engineering from the University of Edinburgh. Co-founder of BuniTek, he is dedicated to introducing technology to African youth. Daniel also works as a Research Assistant in the Climate Compatible Growth Programme, contributing to energy planning in Kenya and global green hydrogen initiatives.

Professional Profile:

👩‍🎓Education:

University of Oxford, UK (2023 – Present)
DPhil in Engineering Science (Rhodes Scholar)

Thesis Topic: Geospatial analysis of solar-powered irrigation in Sub-Saharan Africa, focusing on the water, energy, and food nexus.

University of Oxford, UK (2021 – 2022)
MSc in Energy Systems (Distinction, Rhodes Scholar)

Thesis: Developed a geospatial methodology for sizing and costing solar-powered irrigation systems for different crops.

University of Edinburgh, UK (2017 – 2021)
BEng (Hons) in Electronics and Electrical Engineering (First Class Honours, MasterCard Foundation Scholar)

Thesis: Developed an optimized hybrid energy storage system (HESS) combining battery storage, hydrogen fuel cells, and supercapacitors using MATLAB Simulink.

🏢 Professional Experience:

Rhodes Trust, Oxford, UK (Mar 2024 – Present)
Rhodes Scholarship Ambassador for East Africa

Engages with universities across East Africa to introduce students to the Rhodes Scholarship and supports their application process.

University of Oxford, Oxford, UK (Mar 2022 – Present)
Research Assistant, Climate Compatible Growth Programme

Developed least-cost electrification pathways for Kenyan counties using the Open-Source Spatial Electrification Tool (OnSSET). Conducted capacity-building workshops on energy planning models like OSeMOSYS and IRENA’s Flextool. Also involved in geospatial modeling of green hydrogen production potential globally.

Loughborough University, Nairobi, Kenya (Nov 2022 – Present)
Research Consultant

Designed off-grid electrification solutions for poultry farming and health facilities. Authored academic papers on energy planning and developed funding proposals.

BuniTek, Nairobi, Kenya (Jun 2020 – Present)
Co-Founder

Co-founded BuniTek, an initiative that introduces technology concepts to African high school students in an engaging and hands-on manner. Led a team of 15 volunteers to develop 14 new courses.

Research Interests:

Daniel Mutia Mwendwa’s research interests lie in renewable energy systems, particularly in optimizing solar-powered irrigation and hybrid energy storage solutions. He is passionate about integrating geospatial modeling and energy planning to address sustainability challenges in Sub-Saharan Africa. His work also focuses on green hydrogen production, off-grid electrification, and the energy-water-food nexus.

Author Metrics:

Mwendwa has co-authored several research papers and reports, including:

“Spatial Data Starter Kit for OnSSET Energy Planning in Kitui County, Kenya” – Published in Data in Brief (2022).
“Mapping the Energy Planning Ecosystem in Kenya” – Published on GOV.UK (2023).
“County Energy Planning Data Flows in Kenya: Practitioner Perspectives” – Published on GOV.UK (2023).

Top Noted Publication:

GIS-Based Method for Assessing the Viability of Solar-Powered Irrigation

Journal: Applied Energy
Publication Date: January 2025
DOI: 10.1016/j.apenergy.2024.124461
Contributors: Daniel Mutia Mwendwa, Alycia Leonard, Stephanie Hirmer
Summary: This paper presents a Geographic Information System (GIS)-based methodology for evaluating the feasibility of solar-powered irrigation systems. The method integrates spatial data with factors such as water availability, crop water demand, and solar energy potential to determine where solar-powered irrigation systems can be most effectively deployed in Sub-Saharan Africa.

Spatial Data Starter Kit for OnSSET Energy Planning in Kitui County, Kenya

Journal: Data in Brief
Publication Date: December 2022
DOI: 10.1016/j.dib.2022.108691
Contributors: Daniel Mutia Mwendwa, Jeffrey Tchouambe, Emily Hu, Micaela Flores Lanza, Andrea Babic Brener, Gyubin Hwang, Layla Khanfar, Alycia Leonard, Stephanie Hirmer, Malcolm McCulloch
Summary: This article provides a comprehensive spatial data kit designed for energy planning in Kitui County, Kenya. It is part of the Open-Source Spatial Electrification Tool (OnSSET) framework, which assists planners in developing least-cost electrification pathways. The dataset includes geographic and energy-related data to facilitate more efficient and accurate energy planning.

Xiaoxiao Huo | Electric Engineering | Best Researcher Award

Posted on 13/09/202413/09/2024 by Best Paper Award

Ms. Xiaoxiao Huo | Electric Engineering | Best Researcher Award

Xiaoxiao Huo at Xiamen University, China

Summary:

Ms. Xiaoxiao Huo is a promising researcher in the field of electrical engineering, currently pursuing her master’s degree at Xiamen University, China. With a strong foundation in power electronics and control theory, she has engaged in various research projects focused on optimizing energy systems and improving power conversion techniques. Ms. Huo is an award-winning student, recognized for her academic excellence and contributions to both research and engineering competitions. She has published several papers on advanced control strategies and holds patents in image recognition technologies for meter reading. Her diverse academic and practical experiences position her as a future leader in energy system optimization and power management.

Professional Profile:

Orcid Profile

👩‍🎓Education:

Ms. Xiaoxiao Huo is currently pursuing her M.Eng. in Electrical Engineering at Xiamen University (2022-2025, expected), where she maintains a GPA of 3.6/4.0. She is under the supervision of Dr. Po Li (Xiamen University) and Dr. Zhengmao Li (Aalto University). Her primary coursework includes modern control theory, advanced power electronics, and numerical analysis. She completed her B.Eng. in Electrical Engineering and Automation from South China Agricultural University (SCAU) in 2022 with an average score of 90.91/100. Her undergraduate studies focused on power electronics technology, power system analysis, and electrical machinery theory.

🏢 Professional Experience:

Throughout her academic journey, Ms. Huo has engaged in various research and professional roles. Currently, she is conducting research on multi-energy system planning and operation at Aalto University, where she is developing a planning and operation model for integrated energy systems. In addition, at Xiamen University, she is working on power conversion and energy management strategies for power systems, focusing on model predictive control and its applications. In 2022, Ms. Huo gained hands-on experience as an intern and research assistant at the Guangzhou Institute of Energy Testing, where she designed instrument verification methods using computer vision. She has also been an active volunteer with the Chinese Association of Automation (CAA) since 2021, contributing to academic promotion and conference organization. Her participation in robotics competitions, including the Robomaster visual team, further demonstrates her interest in AI and automation.

Research Interests:

Ms. Huo’s research interests lie in the areas of power electronics, control engineering, energy management, and hybrid energy storage systems. Her work focuses on model predictive control, model-free control, observer design, and hardware-in-the-loop (HIL) simulations. She has also contributed to projects involving grid-tied inverters, multi-energy systems, and the optimization of electric power conversion.

Author Metrics:

Ms. Huo has contributed to several significant publications in the fields of energy systems and power electronics. Some of her key works include:

Huo, X., & Li, P. (2024). Power Management and Control Strategy Based on Model-Free Control for Hybrid Energy Storage System. Accepted by 2024 9th International Conference on Power and Renewable Energy (ICPRE 2024).
Huo, X., & Li, P. Parameter-Free Ultralocal Model-Based Predictive Current Control for Three-Phase Four-Leg Inverters. Submitted to Electric Power Systems Research.
Zhang, Y., Huo, X., et al. (2023). Design of an Image Recognition Device for Electronic Water Meter Readings Based on Improved Threading Method. IEEE Chinese Automation Congress (CAC 2023).
She is also the co-author of two Chinese patents on image recognition methods for gas and water meter readings.

Top Noted Publication:

Simplified Finite Control Set Model Predictive Control for Single-Phase Grid-Tied Inverters with Twisted Parameters

Journal: Electric Power Systems Research
Publication Date: January 2025
DOI: 10.1016/j.epsr.2024.111063
Contributors: Po Li, Xiaoxiao Huo
Details: The paper discusses an advanced control method for single-phase grid-tied inverters with twisted parameters, focusing on reducing total harmonic distortion (THD).

Design of an Image Recognition Device for Electronic Water Meter Readings Based on Improved Threading Method

Conference: 2023 China Automation Congress (CAC)
Publication Date: November 17, 2023
DOI: 10.1109/cac59555.2023.10451216
Contributors: Yuanming Zhang, Qilun Lu, Xiaoxiao Huo, Yong Wan, Peng Tian
Details: This paper focuses on the design of a device utilizing image recognition technology for reading electronic water meters, improving accuracy through an enhanced threading method.

Total Harmonic Distortion Reduction Method of Improved Finite Control Set Model Predictive Control for Single-Phase Inverter with Twisted Parameter

Conference: 2023 5th International Conference on Power and Energy Technology (ICPET)
Publication Date: July 27, 2023
DOI: 10.1109/icpet59380.2023.10367520
Contributors: Po Li, Xiaoxiao Huo, Feng Guo
Details: This paper presents an improved control method for reducing THD in single-phase inverters with twisted parameters.

Multi-Sampling Rate Finite Control Set Model Predictive Control and Adaptive Method of Single-Phase Inverter

Journal: Electronics
Publication Date: June 27, 2023
DOI: 10.3390/electronics12132848
Contributors: Yunfeng She, Xiaoxiao Huo, Xiaoshan Tong, Chunjie Wang, Kunkun Fu
Details: The paper discusses multi-sampling rate model predictive control methods for single-phase inverters, including adaptive control to enhance performance.

Research on Quality Control Application of Whole Process Intelligent Manufacturing in Steel Industry 4.0 Based on Big Data Analysis

Journal: Journal of Network Intelligence
Publication Year: 2022
EID: 2-s2.0-85136270844
ISSN: 2414-8105
Contributors: Zhao, F., Yin, C., Huo, X., Xu, Y.
Details: This paper examines the application of big data analysis for quality control in Industry 4.0, focusing on intelligent manufacturing in the steel industry.

Thi Sinh Vo | Chemical Engineering | Best Researcher Award

Posted on 27/08/202427/08/2024 by Best Paper Award

Dr. Thi Sinh Vo | Chemical Engineering | Best Researcher Award

Doctorate at Sungkyunkwan University, South Korea

Summary:

Dr. Thi Sinh Vo is an accomplished researcher in mechanical and chemical engineering with a strong background in functional materials and composite structures. He earned his Ph.D. from Sungkyunkwan University, where he specialized in chitosan-based composites for environmental and sensor applications. His interdisciplinary expertise extends across materials science, nanotechnology, and chemical engineering. Dr. Vo’s contributions to academia include award-winning research and numerous publications in high-impact journals. As a Postdoctoral Researcher, he continues to push the boundaries of material science for environmental and biosensing applications.

Professional Profile:

👩‍🎓Education:

Dr. Thi Sinh Vo completed his Ph.D. in Mechanical Engineering at Sungkyunkwan University, South Korea, in August 2023, with a GPA of 3.95/4.5. His doctoral research focused on the “Design, Synthesis, and Characterization of Chitosan-Based Functional Composites for Organic Dye Adsorption and Piezoresistive Sensing.” Dr. Vo holds a Master’s degree in Chemical Engineering from Daegu University, South Korea, which he earned in 2018 with a perfect GPA of 4.0/4.0. His master’s thesis investigated the “Synthesis and Characterization of Crosslinked Polyurethane Utilizing Azide-Alkyne Click Reaction.” Prior to that, he obtained a Bachelor of Science degree in Materials Science from the Ho Chi Minh City University of Science, Vietnam National University, where he worked on the “Preparation and Characterization of Water-Soluble Chitosan as a Stabilizer for Gamma Irradiation-Assisted Silver Nanoparticles.”

🏢 Professional Experience:

Dr. Vo is currently a Postdoctoral Researcher at the School of Mechanical Engineering, Sungkyunkwan University, South Korea, where he continues to contribute to cutting-edge research in materials science and mechanical engineering. His research career began as a Research Assistant at the Complex Materials Engineering & Systems (COME) Lab at Sungkyunkwan University, where he was involved in the design and fabrication of composite materials for applications in dye removal, human motion sensing, and biosensing. Prior to his Ph.D. studies, Dr. Vo gained valuable industry experience in chemical engineering, working as a Chemical Engineer at CHING LUH Shoes Co., Ltd., and in research and development roles at NAN PAO Resins Chemical Co., Ltd. and WANEK FURNITURE Co., Ltd. In these positions, he contributed to optimizing manufacturing processes, developing water-based adhesives, and improving plastic injection molding techniques.

Research Interests:

Dr. Vo’s research interests span functional composites and structures, electromechanical and electrochemical sensors for human motion sensing and biosensing, and water/wastewater treatment, particularly focusing on organic dye removal. His work aims to develop innovative materials and sensors for applications in environmental protection and healthcare.

Author Metric:

Google Scholar h-index: 10 (2024)
Google Scholar Citations: 450 (2024)
Google Scholar i10-index: 12 (2024)

Top Noted Publication:

Heavy metal removal applications using adsorptive membranes

Journal: Nano Convergence
Citations: 179 (2020)
Co-authors: MM Hossain, HM Jeong, K Kim

Recycling performance of graphene oxide-chitosan hybrid hydrogels for removal of cationic and anionic dyes

Journal: Nano Convergence
Citations: 65 (2020)
Co-authors: TTBC Vo, JW Suk, K Kim

Enhancement of water absorption capacity and compressibility of hydrogel sponges prepared from gelatin/chitosan matrix with different polyols

Journal: Progress in Natural Science: Materials International
Citations: 28 (2022)
Co-authors: TTBC Vo, TT Tran, ND Pham

Turmeric (Curcuma longa L.): Chemical components and their effective clinical applications

Journal: Journal of the Turkish Chemical Society Section A: Chemistry
Citations: 20 (2021)
Co-authors: TTBC Vo, TTTN Vo, TNH Lai

Graphene Oxide–Chitosan Network on a Dialysis Cellulose Membrane for Efficient Removal of Organic Dyes

Journal: ACS Applied Bio Materials
Citations: 19 (2022)
Co-authors: MM Hossain, TG Lim, JW Suk, S Choi, K Kim

Minseok Ryu | Power Systems Computation | Best Researcher Award

Posted on 26/06/202426/06/2024 by Best Paper Award

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

Assistant Professor at Arizona State University, United States

Summary:

Dr. Minseok Ryu is an Assistant Professor at the School of Computing and Augmented Intelligence at Arizona State University. He completed his Ph.D. in Industrial and Operations Engineering from the University of Michigan and holds a master’s and bachelor’s degree in Aerospace Engineering from KAIST. His postdoctoral research at Argonne National Laboratory has been recognized by the Department of Energy for its contributions to advanced scientific computing. Dr. Ryu’s research interests lie in developing scalable and privacy-preserving algorithms for complex systems, with a strong emphasis on interdisciplinary collaboration. He has received numerous accolades, including the Alliance Fellowship from Mayo Clinic and ASU and highlighted research recognitions from the DOE-ASCR.

Professional Profile:

👩‍🎓Education:

Ph.D. in Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI; May 2020

M.S. in Aerospace Engineering, KAIST, Daejeon, Korea; February 2014

B.S. in Aerospace Engineering, KAIST, Daejeon, Korea; February 2012

🏢 Professional Experience:

Assistant Professor, School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ; August 2023 – Present
- Responsibilities: Leading research initiatives, teaching, and mentoring students. Participating in committee roles and overseeing various academic and administrative duties.
Postdoctoral Appointee, Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL; August 2020 – July 2023
- Responsibilities: Conducting advanced research in applied mathematics, computer science, and developing scalable algorithms for various applications.
Research Assistant, Applied Mathematics and Plasma Physics Group, Los Alamos National Laboratory, Los Alamos, NM; May 2019 – August 2019
- Responsibilities: Engaged in research projects focusing on applied mathematics and plasma physics.
Post Baccalaureate Research Fellow, Kellogg School of Management, Northwestern University, Evanston, IL; November 2014 – April 2015
- Responsibilities: Conducted research in operations management and contributed to academic publications.

Honors & Award:

2024 Alliance Fellow, Mayo Clinic and ASU Alliance for Health Care

Highlighted Research, Department of Energy, Advanced Scientific Computing Research (DOE-ASCR) in 2022 and 2023

Rackham Graduate Student Research Grant, University of Michigan, 2016

MICDE Fellowship, University of Michigan, 2015

National Science Foundation Student Award, INFORMS Computing Society, 2015

National Scholarship, Government of Korea, 2010-2013

Department Honor, KAIST, 2010

Best Technical Poster Award, KAIST, 2010

Research Interests:

Dr. Minseok Ryu’s research focuses on the development of scalable algorithms and machine learning models for applications in industrial engineering, operations research, and augmented intelligence. His work encompasses privacy-preserving federated learning, optimization of power systems, and computational methods for enhancing system resilience against extreme threats. He is particularly interested in interdisciplinary collaborations that integrate advanced computational techniques with practical applications in engineering and healthcare.

Top Noted Publication:

Data-Driven Distributionally Robust Appointment Scheduling over Wasserstein Balls

Authors: R. Jiang, M. Ryu, G. Xu
Published in: arXiv preprint arXiv:1907.03219, 2019
Citations: 28

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

Authors: M. Ryu, Y. Kim, K. Kim, R. K. Madduri
Published in: IEEE International Parallel and Distributed Processing Symposium Workshops, 2022
Citations: 19

A Privacy-Preserving Distributed Control of Optimal Power Flow

Authors: M. Ryu, K. Kim
Published in: IEEE Transactions on Power Systems, 2022, 37(3), 2042-2051
Citations: 18

An Extended Formulation of the Convex Recoloring Problem on a Tree

Authors: S. Chopra, B. Filipecki, K. Lee, M. Ryu, S. Shim, M. Van Vyve
Published in: Mathematical Programming, 2017, 165, 529-548
Citations: 18

Nurse Staffing under Absenteeism: A Distributionally Robust Optimization Approach

Authors: M. Ryu, R. Jiang
Published in: arXiv preprint arXiv:1909.09875, 2019
Citations: 14