Jialin Li | Environmental Science | Best Researcher Award

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Mr. Jialin Li | Environmental Science | Best Researcher Award

Doctor | Fudan university | China

Mr. Jialin Li is an accomplished researcher and Doctor at Fudan University, specializing in the preparation, functionalization, and application of advanced carbon-based porous materials for hydrogen storage, energy storage, and carbon dioxide capture. His educational background includes a master’s and doctorate in chemical engineering and materials science, where his primary focus was on nano-pore interface micro-environment regulation, design of multi-level nano-pore structures, and surface chemical modification of functional porous carbon fibers, carbon nanofibers, carbon aerogels, and porous carbon materials. Professionally, Mr. Jialin Li has been involved in significant research projects such as the coupling regulation of ultra-fine pores and hydrogen-bond microenvironment of polyacrylonitrile porous carbon nanofibers and investigating hydrogen adsorption mechanisms under confined conditions. He has made valuable contributions to material design strategies for energy applications and has played a key role in translating research findings into practical solutions, including patented technologies for preparing biomass textile fabric electrodes and pre-oxidized fiber fabric electrodes for flow batteries. As a dedicated researcher, Mr. Jialin Li has authored 14 documents, 124 citations, 6 h-index, which highlights his consistent research output and influence in the scientific community. His research has been widely published in reputable international journals, including the Chemical Engineering Journal, Journal of Colloid and Interface Science, ACS Nano, and International Journal of Hydrogen Energy, all indexed in Scopus and SCI, reflecting his ability to contribute to high-quality peer-reviewed publications. Mr. Jialin Li’s research interests include developing new porous carbon materials with ultra-high specific surface areas, improving gas adsorption performance at ambient conditions, and creating novel strategies for hydrogen and carbon dioxide storage. His research skills span advanced material synthesis, nano-structuring, micro-environment modulation, adsorption mechanism analysis, and interface chemical engineering, combined with hands-on experience in experimental design and data interpretation. He is also actively engaged in collaborative research that bridges chemistry, materials science, and environmental engineering, reflecting his interdisciplinary approach. Beyond his technical expertise, Mr. Jialin Li has contributed to mentoring younger researchers, fostering collaboration within his team, and supporting sustainable energy initiatives. His honors include recognition for scientific excellence through peer-reviewed publications, contribution to multiple high-impact studies, and the development of patented solutions that support energy sustainability.

Profile:  Scopus

Featured Publications

Li, J., Wang, Y., Zhang, Y., Zhao, W., Bao, W., Duan, Y., Yu, J., Zhu, B., & Qiao, K. (2024). Dipole-induced hydrogen bonds enhanced P/O co-doped Lyocell-based porous carbon fiber cloth for hydrogen storage under ambient pressure. Chemical Engineering Journal, 490, 151633. Citations: 35

Li, J., Duan, Y., Wang, Y., Zhang, Y., Zhou, J., Zhao, W., Yu, J., Zhu, B., & Qiao, K. (2024). Microenvironment modulation of interpenetrating-type hierarchical porous foam carbon by mild-homogeneous activation for H₂ storage and CO₂ capture under ambient pressure. Journal of Colloid and Interface Science, 675, 783–791. Citations: 28

Yu, J., Li, J., Chen, F., Chi, C., Zhang, W., Bao, W., Zhao, X., Zhu, B., & Qiao, K. (2024). Micro-nano scale synchronous “carving” of viscose fiber in activation process for atmospheric hydrogen storage. International Journal of Hydrogen Energy, 63, 411–417. Citations: 19

Zhang, Y., Zhu, B., Zhao, S., Zhao, W., Zhou, M., Sun, Y., Qiao, K., Liu, J., Zhou, J., & Li, J. (2024). In situ synthesis of self-assembly supramolecular crystal seeds within continuous carbon nanofibers for improved fiber graphitic structure. ACS Nano, 18(17), 11360–11374. Citations: 22

Bao, W., Yu, J., Chen, F., Du, H., Zhang, W., Yan, S., Lin, T., Li, J., Zhao, X., & Zhu, B. (2023). Controllability construction and structural regulation of metal-organic frameworks for hydrogen storage at ambient condition: A review. International Journal of Hydrogen Energy, 48(92), 36010–36034. Citations: 20

 

 

Wanamina Bostan Ali | Business Administration | Best Researcher Award

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Assist. Prof. Dr. Wanamina Bostan Ali | Business Administration | Best Researcher Award

Assistan Professor, Prince of Songkla University, Thailand 

Dr. Wanamina Bostan Ali is an accomplished Assistant Professor in the Department of Business Administration at Prince of Songkla University, Thailand 🇹🇭. With extensive experience in academia and industry across several countries, she has built a remarkable profile in management education, international business, and innovation. Her leadership as Director of the MBA International Program and involvement in sustainable and digital business research reflect her dedication to knowledge advancement and student development. 🌏📚

Profile

Google Scholar

Orcid

🎓 Education

Dr. Bostan Ali earned her Doctor of Business Administration (D.B.A.) from Victoria University, Melbourne 🇦🇺, specializing in Management. She also holds an M.B.A. in International Business and a B.A. in Public Relations and Journalism from the University of Southern Queensland, Australia. Her academic path reflects a strong interdisciplinary foundation combining business, communication, and strategic development. 🎓🌐

💼 Experience

With over 15 years of diverse work experience across academia and corporate sectors, Dr. Ali has served as a Lecturer and Assistant Professor in Thailand, Australia, and Malaysia. Notable roles include her tenure at Victoria University, Dusit Thani College, and Broadway Digital Media. She has held administrative leadership roles, including Assistant Dean and Director of International MBA Programs, showcasing her commitment to academic excellence and innovation. 🌍🏢📈

🔬 Research Interest

Dr. Ali’s research spans service innovation, e-business, ESG performance, Halal tourism, and behavioral studies in digital services. She actively explores the intersections of sustainability, entrepreneurship, and technology adoption in Southeast Asia. Her multidisciplinary research addresses real-world business and societal challenges, especially in the MICE (Meetings, Incentives, Conferences, and Exhibitions) industry. 🌿💼🧠

🏆 Awards

Dr. Ali is recognized for her scholarly contributions and leadership in management education. She is a member of the Global Association for MSMEs and SDGs Research in Developing Countries (2023), affirming her role in driving sustainable development goals through academic research and global collaboration. 🌟🌐

📚 Publications

📄 In Problems and Perspectives in Management (2023), she co-authored “Factors influencing job stress: Evidence from tellers,” cited by 10+ articles.
📄 Her work “Financial Factors Influencing ESG Ratings” in Cogent Business & Management (2022) is indexed in SCOPUS and cited by 15+ articles.
📄 She published “What Causes Behavioral Intention in Online Food Delivery” in Journal of Positive School Psychology (2022), cited by 12+.
📄 In ABAC Journal (2022), she authored “Customer Trust in Latex Glove Industry,” exploring COVID-19’s impact on consumer behavior, cited by 9+.
📄 Her 2019 article on e-business tech adoption in Journal of Management Sciences remains a key reference for Thai entrepreneurs.
📄 “Halal Hotel Industry in Muslim-majority vs Minority Countries” (Journal of Halal Industry & Services, 2018) is widely cited in tourism research.
📄 “Perceived Value & TAM in Tech Use” (Psychology and Education, 2021) has gained 14+ citations.
📄 She co-authored “Flexible Working Hours During COVID-19” in Philosophical Readings (2021), cited by 10+.

✅ Conclusion

Dr. Wanamina Bostan Ali is a strong candidate for the Best Researcher Award, especially in the fields of sustainable management, Islamic tourism, and business innovation. His prolific output, broad teaching portfolio, and leadership roles highlight his dedication and versatility in research and education. While a sharper focus on impactful publishing and international collaboration could further strengthen his case, his existing achievements firmly position him as a deserving nominee.

Minseok Ryu | Energy and Sustainability | Best Researcher Award

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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