Jiao Zhai | Chemistry | Best Researcher Award

Jiao Zhai | Chemistry | Best Researcher Award

Hebei University of Technology | China

Dr. Jiao Zhai is an Associate Professor at the Hebei University of Technology, specializing in digital microfluidics, single-cell analysis, drug screening, and nanomedicine. She earned her Ph.D. from the University of Chinese Academy of Sciences and her B.Sc. from Huazhong Agricultural University. Before joining Hebei University of Technology, Dr. Zhai served as a Research Assistant Professor at the City University of Hong Kong and as a Postdoctoral Fellow at the University of Macau’s State Key Laboratory of Analog and Mixed-Signal VLSI. Her pioneering work focuses on developing smart microfluidic platforms for cancer precision medicine and single-cell genomic analysis. She has published extensively in high-impact journals such as Nature Communications, ACS Nano, Lab on a Chip, Talanta, and Advanced Materials. Dr. Zhai has led several competitive research projects, including CityU Strategic Research Grants and collaborative ITF and FDCT-funded initiatives in nanomedicine and biomedical device innovation. Her recent research integrates microengineering and biotechnology to enhance drug screening and tumor cell analysis at the microscale. In recognition of her contributions, she was selected for the Hebei Provincial Outstanding Talents Program and ranked first on the waiting list for the Macao Young Scholars Program. Beyond her research, she actively contributes to the academic community as a Guest Editor for Molecules and a Young Editorial Board Member of Exploration and Military Medical Research.

Profile: Google Scholar | Scopus

Featured Publications

Song, N., Zhang, J., Zhai, J., Hong, J., Yuan, C., & Liang, M. (2021). Ferritin: A multifunctional nanoplatform for biological detection, imaging diagnosis, and drug delivery. Accounts of Chemical Research, 54(17), 3313–3325.

Gao, L., Liu, M., Ma, G., Wang, Y., Zhao, L., Yuan, Q., Gao, F., Liu, R., Zhai, J., Chai, Z., & Gao, X. (2015). Peptide-conjugated gold nanoprobe: Intrinsic nanozyme-linked immunosorbent assay of integrin expression level on cell membrane. ACS Nano, 9(11), 10979–10990.

Zhai, J., Li, H., Wong, A. H. H., Dong, C., Yi, S., Jia, Y., Mak, P. I., & Deng, C. X. (2020). A digital microfluidic system with 3D microstructures for single-cell culture. Microsystems & Nanoengineering, 6(1), 6.

Zhai, J., Yi, S., Jia, Y., Mak, P. I., & Martins, R. P. (2019). Cell-based drug screening on microfluidics. TrAC Trends in Analytical Chemistry, 117, 231–241.

Zhai, J., Wang, Y., Xu, C., Zheng, L., Wang, M., Feng, W., Gao, L., Zhao, L., Liu, R., & Chai, Z. (2015). Facile approach to observe and quantify the αIIbβ3 integrin on a single cell. Analytical Chemistry, 87(5), 2546–2549.

Wang, Y., Xu, C., Zhai, J., Gao, F., Liu, R., Gao, L., Zhao, Y., Chai, Z., & Gao, X. (2015). Label-free Au cluster used for in vivo 2D and 3D computed tomography of murine kidneys. Analytical Chemistry, 87(1), 343–345.

Kwang Baek Kim | Computer Science | Best Researcher Award

Kwang Baek Kim | Computer Science | Best Researcher Award

Silla University | South Korea

Dr. Kwang Baek Kim, South Korea, is a distinguished computer scientist and academic leader, currently serving as Professor in the Department of Computer Engineering at Silla University, South Korea. He earned his M.S. and Ph.D. in Computer Science from Pusan National University, and has been a dedicated faculty member at Silla University, where he has contributed significantly to research, education, and academic administration. His professional journey includes notable leadership roles such as Director for Planning at The Korean Institute of Intelligent Systems (KIIS) and President of The Korea Institute of Information and Communication Engineering (KIICE). With a strong focus on intelligent systems, fuzzy logic, artificial intelligence, and computational vision, Dr. Kim has actively advanced scholarly communication through his editorial engagements, serving as Associate Editor for the International Journal of Fuzzy Logic and Intelligent Systems, the Journal of Intelligence and Information Systems, and previously for The Open Artificial Intelligence Journal (USA). He has also been Guest Editor for the International Journal of Computational Vision and Robotics and the International Journal of Information and Communication Technology, as well as Lead Guest Editor for Computational Intelligence and Neuroscience (SCIE). he has been the Editor-in-Chief of the International Journal of Computer and Information. Dr. Kim’s extensive academic service, research contributions, and leadership have established him as a respected figure in computer science, particularly in the areas of artificial intelligence, fuzzy systems, and intelligent information processing. Married and residing in South Korea, he continues to inspire future generations of computer engineers and contribute actively to the global scientific community.

Profile: Google Scholar

Featured Publications

  • Kim, K.-B., Kim, S., & Kim, G.-H. (2006). Vector quantizer of medical image using wavelet transform and enhanced SOM algorithm. Neural Computing & Applications, 15, 245–251.

  • Kim, K.-B., & Kim, S. (2008). A passport recognition and face verification using enhanced fuzzy ART based RBF network and PCA algorithm. Neurocomputing, 71(16–18), 3202–3210.

  • Kim, K.-B., Kim, C. W., & Kim, G. H. (2008). Area extraction of the liver and hepatocellular carcinoma in CT scans. Journal of Digital Imaging, 21, 89–103.

  • Kim, K. B., Song, D. H., & Park, H. J. (2016). Automatic extraction of appendix from ultrasonography with self-organizing map and shape-brightness pattern learning. BioMed Research International, 2016, Article 6172480.

  • Kim, K. B., Song, Y.-S., Park, H. J., Song, D. H., & Choi, B. K. (2018). A fuzzy C-means quantization based automatic extraction of rotator cuff tendon tears from ultrasound images. Journal of Intelligent & Fuzzy Systems, 35(1), 149–158.