Kunlin Jin , M.D., Ph.D., University of North Texas, Denton, USA

Kunlin Jin is a Tenured Professor at the University of North Texas Health Science Center, United States. He received his M.D. and Ph.D. degrees in China, where he also served as Assistant Professor at Beijing University. He worked as a postdoctoral fellow at the University of California, San Francisco and then at the University of Pittsburgh, when he was promoted to Instructor. He accepted an offer to join the Buck Institute as an Assistant Scientist and has since been promoted to Assistant and then Professor. Dr. Jin is an author of over 250 peer-reviewed, original research papers. Dr. Jin’s recent papers have been published in competitive journals including the JCI, PNAS and Nature. More importantly, he has been a leader in several areas of investigation related to stroke, most recently, the effect of aging on these processes. Dr. Jin first discovered that brain injuries, including those caused by stroke and neurodegenerative diseases such as Alzheimer’s disease, can stimulate stem cells to generate new neurons in rodents as well as in human.

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Hak-Keung Lam, BEng (Hons), PhD, FIEEE, King's College London, London, UK

H. K. Lam is an IEEE Fellow now, and named as a Highly Cited Researchers since 2018. He received the B.Eng. (Hons.) and Ph.D. degrees from the Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, in 1995 and 2000, respectively. During the period of 2000 and 2005, he worked with the Department of Electronic and Information Engineering at The Hong Kong Polytechnic University as Post-Doctoral Fellow and Research Fellow, respectively. He joined King’s College London in 2005 as a Lecturer and is currently a Reader. His current research interests include intelligent control systems, computational intelligence and machine learning. He have authored/co-authored over 340 publications (3 monographs, 9 editorials, 2 edited book, 6 book chapters, 212 journal papers and 122 conference papers) in this field.

Chunsheng Kang, M.D. &Ph. D, Tianjin Medical University, Tianjin, China

Dr. Kang received his Ph.D degree at 2003, and became a research scientist in Lab of Neuro-oncology, Tianjin Neurological Institute. He got 9 consecutive founding from National Natural Science Foundation of China. Dr. Kang’s research focused include leading-compound development targeting HOTAIR/PRC2 complex, exo/endocytosis and chemo-resistance in glioblastoma and drug delivery system targeting brain tumor. He has published more than 140 peer-reviewed research papers so far. Dr. Kang had received three provincial prizes for scientific and technological progress from Bureau of Science and Technology of Tianjin, one national prize for scientific and technological progress from Ministry of Science and Technology of China. During 2020-2021, Dr. Kang had been continuously selected as the Elsevier Highly Cited Scholar in Clinical Medicine in China. Currently, the  H-index  score of Dr. Kang is 62. He had been editorial board of Neuro-oncology since 2014, Cancer Letters from 2014 to 2018.

Xiaoli Li, Ph.D., Beijing Normal University, Beijing, China

He received the B.S.E. and M.S.E. degrees from Kun-ming University of Science and Technology, and the Ph.D degree from Harbin Institute of Technology, China, in 1992, 1995, and 1997, respectively, all in mechanical engineering. From April 1998 to Oct. 2003, he was a Research Fellow of City University of Hong Kong, of the Alexander von Humboldt Foundation at Hannover University, Germany, a Post doc fellow at Chinese University of Hong Kong. From 2003 to 2009, he was a Research fellow in University of Birmingham, UK. In 2007, he was appointed as professor and head of Department of Automation, Yanshan University, China. Since 2011, he has been appointed as a full professor and vice director in the National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China. His main areas of research focus on neural engineering, computational intelligence, signal processing and data analysis, monitoring system, manufacturing system.

Zhi-Qiang Li, Ph.D.&M.D., Wuhan university, Wuhan, China

He graduated from Wuhan University in 2001. His main interest is the comprehensive treatment of glioma and brain metastasis. He initiated the establishment of glioma MDT center and neuro-oncology laboratory. His research focuses on the field of glioma invasion and tumor microenvironment, brain injury and cognitive impairment. The papers were published in Science, Medicinal Research Reviews, Neuro-Oncology, Journal of Neurochemistry, and so on.

Fred Paas, Ph.D., Erasmus University Rotterdam, Rotterdam, Netherlands

Fred Paas is a professor of Educational Psychology at Erasmus University Rotterdam, Netherlands and a Professorial Fellow at University of New South Wales and University of Wollongong, Australia. His research contribution primarily revolves around cognitive load theory and its applications in educational psychology. His research provides a cognitive and behavioural basis for the neuroscientific mechanisms of cognitive processes and learning, and shapes our understanding of educational psychology and brain sciences. His scholarly impact is evident from his publication record of over 450 articles in SSCI/SCI journals and an h-index of 105 with more than 60,000 citations. In addition to his research, Dr. Paas is involved in the academic community through editorial roles in a variety of respected academic journals, such as Editor-in-Chief of the journal Educational Psychology Review. His expertise is further acknowledged by his fellowship with the American Educational Research Association. He also demonstrates the real-world applicability of his research through public lectures and consultations with private organizations.

Lina Yao, Ph.D., University of New South Wales, Sydney, Australia

Prof. Lina Yao is a Senior Principal Research Scientist and Science Lead for Translational Machine Learning at CSIRO's Data61, Conjoint Full Professor at UNSW and Honorary Full Professor at Macquarie University. She strives for developing generalizable and explainable data-efficient data mining, machine learning and deep learning algorithms-as well as designing systems and interfaces-to enable novel ways of human-machine interactions, including an improved understanding of challenges such as robustness, trust, explainability and resilience that improve human-autonomy partnership. She is serving as Associate Editor for ACM Transactions on Sensor Networks (ACM TOSN), Knowledge-based Systems (KNOSYS), ACM Transactions on Asian and Low-Resource Language Information Processing (ACM TALLIP)，and ACM Transactions on Recommender Systems (ACM TORS).