Babatunde Omiyale | VR & Robotics | Research Excellence Award

Mr. Babatunde Omiyale | VR & Robotics | Research Excellence Award

University of Saskatchewan | Canada

Babatunde Olamide Omiyale is a Mechanical Engineering PhD student at the University of Saskatchewan with over ten years of industrial, teaching, and research experience in advanced manufacturing, materials science, and mechanical systems. His expertise includes additive manufacturing, corrosion engineering, cyber-physical systems, nanosensors, and process optimization. He has authored and co-authored numerous peer-reviewed journal articles and book chapters in high-impact international journals. Omiyale has strong hands-on experience with industrial equipment, data analysis, and experimental design, and he is actively involved in cutting-edge research on CNT/graphene-based nanosensors for high-resolution sensing in nanorobotic systems.

Citation Metrics (Scopus)

4000
3000
2000
1000
0

Citations
533

Documents
25

h-index
11

Citations

Documents

h-index


View  Scopus Profile
   
View Google Scholar Profile
     
View  Orcid Profile

Featured Publications

Youngwoo Jeon | VR & Robotics | Research Excellence Award

Assoc. Prof. Dr. Youngwoo Jeon | VR & Robotics | Research Excellence Award 

Yeouido ST. Mary hospital, Catholic Medical Center | South Korea

Dr. Youngwoo Jeon is an Associate Professor of Internal Medicine (Hematology) at Yeouido St. Mary’s Hospital, The Catholic University of Korea (CUK), where he serves as Subdivision Head of Hematology, Manager of the Lymphoma and Cell-Therapy Research Center, and a key member of the Catholic Institute of Cell Therapy and the Institute for Translational Research and Molecular Imaging. He received his MD and Master’s degree in Internal Medicine from SoonChunHyang University and earned his PhD in Medical Science from CUK. Following fellowship training at Seoul St. Mary’s Hospital, he has progressed through academic ranks with a strong integration of clinical excellence and translational research. Dr. Jeon is an active member of major national and international societies, including the Korean Society of Hematology, American Society of Hematology, and European Hematology Association, and serves on academic and CAR-T committees within Korea. His research focuses on lymphoma, cellular and immune therapies, hematopoietic stem cell transplantation, graft-versus-host disease, and mechanisms of treatment resistance. He has published extensively in high-impact journals such as Journal of Clinical Oncology, Frontiers in Oncology, Frontiers in Immunology, British Journal of Haematology, and Cancer Medicine, contributing both pivotal clinical trial data and innovative translational insights, including studies on bispecific antibodies, CAR-T therapy, EZH2 targeting strategies, immune regulation, and transplantation outcomes. Dr. Jeon’s work bridges bench and bedside, advancing precision medicine approaches for hematologic malignancies while improving patient outcomes through evidence-based clinical practice and leadership in multidisciplinary research initiatives.

Citation Metrics (Scopus)

7000
5000
3000
1000
0

Citations
1,705

Documents
142

h-index
23

Citations

Documents

h-index


View Scopus Profile
     
View  Orcid Profile

Featured Publications

Sungeun Suh | Human–Computer Interaction | Research Excellence Award

Assoc. Prof. Dr. Sungeun Suh | Human–Computer Interaction | Research Excellence Award 

Gachon Unniversity | South Korea

Suh, S. E. is a leading researcher and educator in fashion design, recognized for her innovative integration of digital technologies, artificial intelligence, and sustainable practices into contemporary and traditional fashion contexts. Her scholarship focuses on the intersection of technology, culture, and design, exploring how digital platforms like Instagram and YouTube influence personal style, fashion consumption, and cultural representation. She has conducted extensive research using big data and text mining to decode global and Korean fashion trends, as well as generative AI to enhance creativity in textile and fashion design, including the development of customized designs based on traditional Korean patterns. Suh’s work emphasizes sustainability, addressing circular fashion, the eco-conscious practices of Generation Z, and the creation of performance-oriented ‘New Hanbok’ utilizing traditional craft techniques such as Najeon and Hanji, bridging heritage with contemporary design innovation. Her research also investigates historical and subcultural fashion phenomena, from 1970s–1980s casual subculture and British soccer hooliganism to Yosemite rock climbing communities, highlighting the sociocultural significance of fashion across contexts. She has published widely in top-tier journals including Sustainability, Fashion and Textiles, Journal of Fashion Design, and Humanities and Social Sciences Communications, reflecting her interdisciplinary approach spanning design, technology, and cultural studies. Beyond academia, Suh has actively translated her research into applied projects, including AI-based fashion pattern datasets (K-Deep Fashion), smart fashion product development supported by the Korean Ministry of Science and ICT, and practical design contributions such as the Pyeongchang Olympic private security uniforms and government facility uniforms. She has been recognized with multiple awards for excellence in research and presentation, including Best Reviewer Awards and numerous Awards of Excellence for poster and oral presentations at national and international conferences. Suh has also participated in prominent exhibitions, including the International Fashion Art Biennale in Busan (2022) and KSFD Fashion Exhibition (2021), demonstrating her ability to engage both scholarly and public audiences. Overall, her work represents a unique convergence of fashion, technology, and sustainability, positioning her as a leading figure in contemporary fashion research and education, whose contributions consistently bridge theoretical insight with practical, industry-relevant innovation.

Profile: Google Scholar

Featured Publications

Lee, N., & Suh, S. (2025). Decoding Korean men’s fashion trends: A text mining analysis of YouTube content. Humanities and Social Sciences Communications, 12(1), 1–17.

Lee, N., & Suh, S. (2024). How does digital technology inspire global fashion design trends? Big data analysis on design elements. Applied Sciences, 14(13), 5693.

Jung, D., & Suh, S. (2024). Enhancing soft skills through generative AI in sustainable fashion textile design education. Sustainability, 16(16), 6973.

Lee, J., & Suh, S. (2024). AI technology integrated education model for empowering fashion design ideation. Sustainability, 16(17), 7262.