Taehyun Lee | Behavioral Economics | Research Excellence Award

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Mrs. Taehyun Lee | Behavioral Economics | Research Excellence Award

Korea University | South Korea

Mrs. Taehyun Lee is an economist specializing in policy analysis and impact evaluation, with over five years of experience in public expenditure review, labor market policies, and quantitative monitoring of government interventions. She is currently a permanent researcher at the Korea Employment Information Service, leading research at the Youth Policy Center and previously at the National Work Programs & KLoSA Panel Team. Her work focuses on evaluating the effectiveness of nationwide vocational training, direct job creation programs, and social support initiatives for marginalized populations, applying advanced econometric methods such as Propensity Score Matching and Cox Proportional Hazards models to large-scale administrative and survey datasets. Mrs. Lee has contributed to international comparative studies, engaging scholars from China, Sweden, the U.S., and Europe, and has co-authored several high-impact publications, including ESI highly cited papers. She holds an M.A. in Economics (Labor Economics) from Sogang University, a B.A. in Philosophy and International Studies from Ewha Womans University, and is a Ph.D. candidate in Psychology at Korea University, focusing on behavioral insights for policy and economic decision-making. She has received recognition for research excellence, including the Excellent Paper Award from the Korea Social Science Data Archive, and has successfully led cross-national research collaborations. Her work significantly informs evidence-based policy design for labor markets and social protection systems.

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Featured Publication


The relationship between household debt and the Big Five personality traits


– Journal of Behavioral and Experimental Economics, 2025 | Contributors: Taehyun Lee; Almas Heshmati

Zhehong Liu | Data collection | Research Excellence Award

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Dr. Zhehong Liu | Data collection | Research Excellence Award

Institute of physics | China

Dr. Zhehong Liu is a materials scientist specializing in functional transition-metal oxides, with particular expertise in A-site ordered quadruple perovskites synthesized under high pressure and high temperature. He received his Ph.D. in Materials Science from the Institute of Physics, Chinese Academy of Sciences, where his doctoral research focused on high-pressure synthesis and physical property tuning of highly ordered quadruple perovskites. He is currently a Postdoctoral Research Associate at the same institute, conducting independent research on structure–property relationships in complex oxides. His work integrates advanced experimental techniques including synchrotron and neutron diffraction, x-ray absorption and dichroism, magnetic and electrical transport measurements to elucidate the roles of crystal structure, spin state, and valence state in emergent phenomena. Dr. Liu has extensive hands-on experience in high-pressure synthesis, cryogenic systems, and in-situ measurements, and has contributed to discoveries such as high-Curie-temperature half metals, novel magnetic orderings, and correlated and topological states in oxides. He has received multiple competitive honors, including top-tier postdoctoral and graduate awards from the Chinese Academy of Sciences. Overall, his research advances the understanding and design of strongly correlated and multifunctional materials with both fundamental and technological significance. His scholarly impact includes 1,398 citations, 53 documents, and an h-index of 17 (citations drawn from 1,182 documents).

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Featured Publications

Sequential spin state transition and intermetallic charge transfer in PbCoO3

J. Am. Chem. Soc. 142, 5731 (2020). Cover Article
Realization of a half metal with a record-high Curie temperature in perovskite oxides

Adv. Mater. 2200626 (2022). Inside Back Cover

Quadruple perovskite oxide LaCu3Co2Re2O12:
A ferrimagnetic half metal with nearly 100% B-site degree of order


Appl. Phys. Lett. 117, 152402 (2020). Editor’s Pick

Observation of A-site antiferromagnetic and B-site ferrimagnetic orderings in the
quadruple perovskite oxide CaCu3Co2Re2O12


Phys. Rev. B 103, 014414 (2021)
Tunable Room-Temperature Ferromagnetism in Two-Dimensional Cr2Te3

Nano Lett. 20, 3130 (2020)

Jianwei Cheng | Engineering  | Best Scholar Award

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Prof. Jianwei Cheng | Engineering  | Best Scholar Award

China University of Mining and Technology | China

Dr. Jianwei Cheng is a distinguished professor in the College of Safety Engineering at the China University of Mining and Technology (CUMT), specializing in mine ventilation, gas explosion control, dust mitigation, and mine accident rescue strategies. He earned his B.S. and M.S. degrees in Safety and Mining Engineering from CUMT and completed his Ph.D. at West Virginia University, USA, further enhancing his expertise in mining safety. Dr. Cheng also holds an Associate Degree in Computer Science and Engineering. Since joining CUMT in 2012, he has led multiple research projects funded by government and industry, contributing significantly to mine ventilation design, explosion prevention, and safety strategies. Recognized internationally, he has served as a reviewer for over 100 journals, participated in the North American Mine Ventilation Symposium, and was awarded the Australia Endeavour Research Fellowship in 2015. His achievements include numerous national, provincial, and industry awards in science, technology, and teaching, reflecting his excellence in research and education. Dr. Cheng has published extensively, with 110 documents cited 1,729 times, achieving an h-index of 23. His work continues to advance the safety and efficiency of mining operations while promoting innovation in occupational health and mine rescue technologies.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Ran, D., Cheng, J., Sheng, S., Ma, Z., Fu, Q., Hou, W., & Chen, R. (2024). “A two-phase particle flow method based on SCLB for enhancing CBM recovery: Experimental testing and engineering applications” in Powder Technology. DOI: 10.1016/J.POWTEC.2024.119754

Cheng, J., Sheng, S., Xu, Y., Luo, Y., & Islam, M.M. (2024). “Deformation prediction of overlying strata in multi-seam mining based on the influence function method-key stratum hybrid model” in Geomechanics and Geophysics for Geo-energy and Geo-Resources. DOI: 10.1007/S40948-024-00875-6

Cheng, J., Ma, Z., Fu, Q., Ran, D., Borowski, M., & Xi, Z. (2024). “Eco-friendly three-phase-gel foam with novel particle-gel crosslinking enhancing stabilization and fire extinguishing” in Powder Technology. DOI: 10.1016/J.POWTEC.2024.120134

Ihsan, A., Cheng, J., Widodo, N.P., Wang, E., Waly, F.Z., Syachran, S.R., Fadillah, T., & Khamidah, H.N. (2024). “Hybrid method for analyzing air thermal conditions in underground mines” in Expert Systems with Applications. DOI: 10.1016/J.ESWA.2023.123026

Cheng, J., Hou, W., Zheng, X., Fediuk, R., Qin, Y., Chen, Z., Luo, Y., & Islam, M.M. (2024). “Modified space suspension bentonite-based powder for suppression dust explosion in moist conditions: Experimental testing and validations” in Fuel. DOI: 10.1016/J.FUEL.2024.132190

Shinobu Hirayama | Healthcare Data Analysis | Research Excellence Award

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Ms. Shinobu Hirayama | Healthcare Data Analysis | Research Excellence Award

Meiji Pharmaceutical University | Japan

Shinobu Hirayama is a Japanese clinical microbiology researcher and pharmacist whose work focuses on antimicrobial stewardship, antimicrobial resistance, and clinical infectious diseases. She holds a Bachelor of Pharmacy from Meiji Pharmaceutical University (1997) and is currently pursuing a PhD in Microbiology. With long-standing experience at Toho University Omori Medical Centre—most recently as Assistant Director of the Department of Pharmacy—she has contributed extensively to infection control and antimicrobial management. Her research portfolio includes peer-reviewed publications on carbapenem-resistant Enterobacterales, antimicrobial dosing metrics, vancomycin-associated kidney injury, and therapeutic strategies for COVID-19 and Clostridioides difficile. She has presented her work at major national and international conferences, including APSMM. Hirayama’s scholarly output includes 5 peer-reviewed documents, cited by 122 documents, with an h-index of 2, reflecting her growing impact in clinical microbiology and antimicrobial stewardship research. She received the Encouragement Award from the Japanese Society of Chemotherapy (2016) for developing a novel evaluation method for carbapenem stewardship. Her current work aims to refine antimicrobial and antifungal stewardship practices to improve patient outcomes and limit resistance development.

Profile : Scopus

Featured Publications

Ohtani, M., Yokoo, T., Miyazaki, T., Yasuda, H., Nishikawa, E., Tomida, M., Tsukada, M., Sato, E., Hirayama, S., Murakami, H., Yoshizawa, S., Matsumoto, T., & Tateda, K.
“Clinical efficacy of casirivimab and imdevimab in preventing COVID-19 in the Omicron BA.5 subvariant epidemic: a retrospective study” in Journal of Pharmaceutical Health Care and Sciences, 11(1): 94.

Hirayama, S., Otani, M., Murakami, H., Sakamoto, M., Tateda, K., Matsumoto, T., & Sugita, T. “Association between antimicrobial use and the detection rates of carbapenem-resistant Enterobacterales: long-term surveillance results from a single centre” in Infection Prevention in Practice, In Press.

Ohtani, M., Yoshizawa, S., Miyazaki, T., Kumade, E., Hirayama, S., Sakamoto, M., Murakami, H., Maeda, T., Ishii, Y., Matsumoto, T., & Tateda, K. “Clinical efficacy of therapeutic agents for Clostridioides difficile infection based on four severity classifications” in Japanese Journal of Infectious Diseases, 77(5): 281–284.

Uekusa, S., Hanai, Y., Hirayama, S., Yokoo, T., Hasegawa, T., Shimoyama, K., Kusano, A., Nishizawa, K., Matsumoto, T., & Matsuo, K. “Vancomycin hydrochloride as a risk factor for acute kidney injury: a retrospective study” in Pharmacology, 108(5): 444–450.

Yu Xiao | Data Science | Research Excellence Award

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Dr. Yu Xiao | Data Science | Research Excellence Award

Beijing Normal University | China

Yu Xiao He is a lecturer at Beijing Normal University with a strong background in decision science and operations research. He received his B.S. degree in Communication Engineering from Sichuan University, Chengdu, China, in 2014, and earned his Ph.D. in Management Science from the National University of Defense Technology, China, in 2020. He worked at the National University of Defense Technology from 2020 to 2022 before joining Beijing Normal University. His research focuses on multi-criteria decision analysis (MCDA) and rank aggregation, as well as graph theory and voting theory, addressing challenges in ranking, consensus building, and decision support. To date, he has published 24 documents, which have collectively received 158 citations, resulting in an h-index of 8, reflecting his growing influence in his fields of expertise. His contributions combine rigorous theoretical development with practical applications, aiming to improve methods for aggregating rankings and supporting complex decision-making processes. Recognized for his interdisciplinary approach, he integrates engineering, management, and social-choice methodologies in his work. Overall, Yu Xiao He is a rising scholar whose research is advancing both the theory and practice of multi-criteria decision-making, ranking aggregation, and graph-based modeling, offering valuable insights for academics and practitioners alike.

Profiles : Scopus | Orcid

Featured Publications

Xiao, Y., Wang, B., Deng, Y., & Wu, J. (2025). “From ratings to rankings: A complementary approach for student evaluations of teaching in higher education.” Studies in Educational Evaluation.

Zhu, H., Xiao, Y., Chen, D., & Wu, J. (2025). “A robust rating aggregation method based on temporal coupled bipartite network.” Information Processing & Management.

Li, G., Xiao, Y., & Wu, J. (2024). “Rank aggregation with limited information based on link prediction.” Information Processing & Management.

Xiao, Y., Zhu, H., Chen, D., Deng, Y., & Wu, J. (2023). “Measuring robustness in rank aggregation based on the error-effectiveness curve.” Information Processing & Management.

Xiao, Y., Deng, H.-Z., Lu, X., & Wu, J. (2021). “Graph-based rank aggregation method for high-dimensional and partial rankings.” Journal of the Operational Research Society.

Diamant Thaci | Emerging Research Trends | Best Researcher Award

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Prof. Dr. Diamant Thaci | Emerging Research Trends | Best Researcher Award

Universität zu Lübeck | Germany

Prof. Dr. med. Diamant Thaçi is a leading dermatologist and inflammation medicine expert whose career spans clinical practice, translational research, and academic leadership. After completing a postdoctoral fellowship and receiving a DAAD Scholarship for highly talented young scientists, he specialized in dermatology and venereology and advanced through key roles at J.W. Goethe University Frankfurt, including Senior Physician for dermatological clinical research and chronic inflammatory skin diseases. He later earned his venia legendi and held a W2 Professorship before assuming major leadership positions at the University of Lübeck, where he currently directs the Institute for Inflammation Medicine, the Excellence Center for Inflammation Medicine, and the Inflammation Board. His research focuses on atopic dermatitis, psoriasis, psoriatic arthritis, and novel immunomodulatory therapies, contributing extensively to pivotal international clinical trials. With 379 documents, 20,448 citations by 13,334 documents, and an h-index of 68, he is recognized as a Highly Cited Researcher and serves on multiple international councils and editorial boards. His awards include the Theodor Stern Foundation Prize and multiple distinctions from EADV and other societies. Overall, he is regarded as one of the most influential figures in modern inflammation and dermatology research.

Profiles : Scopus | Orcid

Featured Publications

Curman, P., Thaçi, D., & Ludwig, R. J. (2025). “Increased Cardiovascular Risk in Chronic Spontaneous Urticaria: A Large Real-World Cohort Study” in Allergy.

Lebwohl, M., Gooderham, M. J., Warren, R. B., Thaçi, D., Foley, P., Gottlieb, A. B., Torres, T., Popmihajlov, Z., Jou, Y.-M., Linaberry, M., et al. (2025). “Outcomes of Psoriasis Area and Severity Index (PASI) and PASI components in two phase III trials of deucravacitinib in patients with moderate to severe plaque psoriasis” in Clinical and Experimental Dermatology.

Olbrich, H., Kridin, K., Zirpel, H., Hernandez, G., Sadik, C. D., Gaffal, E., Thaçi, D., & Ludwig, R. J. (2025). “Glucagon-like peptide-1 receptor agonists and reduced mortality, cardiovascular and psychiatric risks in patients with psoriasis: a large-scale cohort study” in British Journal of Dermatology.

Alfarsi, S., Recke, A., Gaffal, E., Klein, J. P., Zirpel, H., Kridin, K., Thaçi, D., Olbrich, H., Bieber, K., & Ludwig, R. J. (2025). “Increased risk of psychiatric disease in patients with prurigo nodularis” in British Journal of Dermatology.

Thaçi, D., Ohtsuki, M., Maul, J.-T., Szegedi, A., Luna, P. C., Lynde, C. W., Soliman, A. M., Wang, H., Kaufmann, C., Ashley, D. G., et al. (2025). “Correction: Real-World Effectiveness of Risankizumab in Patients with Moderate-to-Severe Psoriasis: Interim Analysis from the VALUE Global Prospective Post-marketing Observational Study at 25 Months” in Dermatology and Therapy.

Zakieh Taghizadeh | Government and Public Policy Analysis | Best Researcher Award

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Ms. Zakieh Taghizadeh | Government and Public Policy Analysis | Best Researcher Award

Fribourg University | Iran

Ms. Zakieh Taghizadeh Pirposhteh is a scholar specializing in public international law, biodiversity governance, and marine genetic resource regulation. She holds an LL.M. in International Contracts and Arbitration from the University of Fribourg (2024–2025), a UN–Nippon Fellowship in the Law of the Sea and Ocean Affairs (2014–2015), and earlier earned an LL.M. in Public International Law and an LL.B. in Legal Studies and Jurisprudence from Tehran, Iran. Her professional experience includes serving as a Legal Counselor at the United Nations Office in Geneva (2020–2022), Asia–Pacific Regional Coordinator at WIPO (2023–2024), and Research Associate at the University of Tehran (2015–2020). Her research interests focus on marine biodiversity in areas beyond national jurisdiction, benefit-sharing frameworks, digital sequence information disputes, human rights, intergenerational equity, and international ocean law.

Profile : Google Scholar

Featured Publications

Taghizadeh, Z. (2025). “Marine Genetic Resources as Common Heritage of Mankind under the BBNJ Agreement: The International Community toward a Pragmatic Benefit-Sharing Approach?” in Biodiversity and Conservation, 34(1), 131–153.

Taghizadeh, Z., & Asgarian, H. (2024). “BBNJ Agreement and Intellectual Property Implications for Marine Genetic Resources Management in ABNJ” in The International Journal of Marine and Coastal Law, 1(aop), 1–32.

Taghizadeh, Z. (2025). “Intergenerational and Intra-generational Equity under the BBNJ Agreement: Advancing Accountability toward Sustainable Management of the Marine Environment” in Environmental Management, 1–19.

Taghizadeh, Z., & Asgarian, H. (2025). “From Global Commons to Global Accountability: The Erga Omnes Obligation to Safeguard Marine Biological Diversity as Common Heritage of Humankind” in Journal of International Wildlife Law & Policy, 28(2), 193–220.

Taghizadeh, Z. (2021). “Illegal, Unreported and Unregulated Fishing in the Exclusive Economic Zone: Legal Analysis of the International Tribunal for the Law of the Sea’s Approach in Its Advisory Opinion” in International Journal of Maritime Policy, 1(1), 5–36.

Simon Adu | Nuclear Security and Nonproliferation | Best Researcher Award

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Dr. Simon Adu | Nuclear Security and Nonproliferation | Best Researcher Award

Texas A&M university | United States

Dr. Simon Adu is a distinguished researcher in Radiation Protection and Health Physics with over 16 years of professional experience. He holds a PhD (2016) and MPhil (2008) in Radiation Protection/Health Physics from the University of Ghana, and a BSc in Physics from the University of Cape Coast. He has held senior roles as Senior Research Scientist at the Ghana Atomic Energy Commission, Senior Regulatory Officer heading the Department of Nuclear Security at Ghana’s Nuclear Regulatory Authority, and Senior Lecturer at the University of Ghana. His work encompasses radiation safety in medical, industrial, mining and research reactor settings; calibration; regulatory inspections; nuclear security; non-proliferation; and education at both the undergraduate and graduate levels. He has supervised PhD and MSc students, reviewed theses externally in several African universities, participated in numerous IAEA-coordinated research projects, and has been awarded prestigious fellowships including the Stanton Fellowship, the IAEA PhD Sandwich Award, and Argonne National Laboratory fellowship. His research interests include nuclear safety, reactor core conversion (HEU to LEU), radiation dosimetry, nuclear security and safeguards. He is also an IAEA nuclear security expert participating in missions across Africa. Dr. Adu’s contributions have significantly advanced regulatory frameworks, improved safety culture, and strengthened capacity building in radiation protection and nuclear security across the region.

Profile : Google Scholar

Featured Publications

Doudoo, C. O., Gyekye, P. K., Emi-Reynolds, G., Adu, S., Kpeglo, D. O., Tagoe, S. N. A., & others (2023). “Dose and secondary cancer-risk estimation of patients undergoing high dose rate intracavitary gynaecological brachytherapy.” Journal of Medical Imaging and Radiation Sciences, 54 (2), 335–342.

Hasford, F., Owusu-Banahene, J., Otoo, F., Adu, S., Sosu, E. K., Amoako, J. K., & others (2012). “Assessment of annual whole-body occupational radiation exposure in education, research and industrial sectors in Ghana (2000–09).” Radiation Protection Dosimetry, 150 (3), 350–358.

Arwui, C. C., Deatanyah, P., Wotorchi-Gordon, S., Ankaah, J., Emi-Reynolds, G., Adu, S., & others (2011). “Assessment of the effectiveness of collimation of Cs–137 panoramic beam on TLD calibration using a constructed lead block collimator and an ICRU slab phantom at SSDL in Ghana.” International Journal of Science and Technology, 1 (4), 169–173.

Ndum, Z. N., Tao, J., Liu, Y., Ford, J., Vlassov, V., Morton, N., Grissom, J., Adu, S., & others (2024). “A digital twin-based simulator for small modular and microreactors.” Proceedings of the 2024 Winter Simulation Conference (WSC), 2963–2974.

Adu, S., Horvatovic, I., D’Auria, F., Nyarko, B. B. J., Geoffrey, E. R., & Menzel, F. (2015). “Analysis of channel blockage of MNSR reactor using the system thermal-hydraulic code RELAP5/MOD3.3.” Proceedings of the 24th International Conference on Nuclear Energy for New Europe, Ljubljana, Slovenia.

Birikorang, S. A., Dahunsi, S., Adu, S., Nketia, C. A., & Blay, A. (2025). “Assessing nuclear energy and radiological risks: a case study of radionuclide dispersion from potential nuclear power plant accidents in Ghana.” Radiation Protection Dosimetry, 201 (5), 333–350.

Basharat Ali | Cybersecurity Data Analysis | Best Researcher Award

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Dr. Basharat Ali | Cybersecurity Data Analysis | Best Researcher Award

Nanjing University | China

Dr. Basharat Ali is a dedicated researcher and PhD scholar in Computer Science at Nanjing University, China, with a strong academic foundation in Software Engineering from Northeastern University, China, and the University of Swat, Pakistan. His professional journey includes roles as a Software Developer at Neusoft (China) and RaidIT Solution (Pakistan), where he gained hands-on expertise in programming, system architecture, and cross-border e-commerce platforms. His research focuses on network security, blockchain development, IoT infrastructure protection, and the integration of deep learning techniques for cyber defense. Dr. Ali has published influential works such as “An Efficient E-Voting Algorithm and DApp Using Blockchain Technology” and “Towards a Secure Infrastructure for the IoT’s Using Deep Learning.” His scholarly contributions have achieved an h-index of 4, with 79 citations and 2 indexed documents, reflecting the growing impact of his work in secure digital ecosystems. He has also been recognized for his innovation and technical creativity in decentralized systems and smart contract applications. Combining academic research with practical software engineering and design expertise, Dr. Ali aims to advance global cybersecurity through intelligent, transparent, and scalable blockchain-based systems that shape the next generation of secure digital environments.

Profiles : Orcid | Google Scholar

Featured Publications

Ali, B., & Chen, G. (2025). Next-generation AI for advanced threat detection and security enhancement in DNS over HTTPS. Journal of Network and Computer Applications.

Ali, B. (2022). An Efficient E-Voting Algorithm and DApp Using Blockchain Technology.

Ali, B. (2021). Towards a Secure Infrastructure for the IoT’s Using Deep Learning. Multidisciplinary International Journal of Research and Development.

Viken Kortian | Big Data Analytics | Best Researcher Award

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Assoc. Prof. Dr. Viken Kortian | Big Data Analytics | Best Researcher Award

Macquarie University | Australia

Assoc. Prof. Dr. Viken Kortian is an accomplished academic and researcher specializing in operations management, innovation, and entrepreneurship, with extensive expertise in business process management, strategy, and big data analytics. He holds a PhD in Management from Macquarie Graduate School of Management, where his doctoral research focused on organizational agility and firm performance in Australian SMEs. His academic foundation also includes a Master of Arts, an MBA, and a Bachelor of Chemical Engineering with honors. Dr. Kortian has built a distinguished career in higher education, currently serving as Associate Professor at Macquarie University’s School of Engineering, where he played a pivotal role in designing and leading the Master of Engineering Management program, one of the university’s largest postgraduate offerings. He has also contributed to Kaplan Business School, Macquarie Graduate School of Management, and the Australian Graduate School of Management through innovative course development in data analytics, quality management, and business excellence. His research interests span business excellence, operations management, artificial intelligence, and machine learning, with several conference presentations, publications, and a US patent to his credit. Recognized with multiple Vice Chancellor’s Awards for Teaching Excellence and other honors, Dr. Kortian is a dedicated educator, researcher, and thought leader shaping engineering management education in Australia.

Profile : Orcid 

Featured Publication

“Challenges and Issues in Implementing & Operationalising Big Data Analytics Capabilities in a major Australian Railway Organisation: A Case Study”