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Metin Akay received his B.S. and M.S. in Electrical Engineering from the Bogazici University, Istanbul, Turkey in 1981 and 1984, respectively and a Ph.D. degree from Rutgers University in 1990. He is currently the founding chair of the new Biomedical Engineering Department and the John S. Dunn professor of biomedical engineering at the University of Houston. He has played a key role in promoting biomedical education in the world by writing and editing several books, editing several special issues of prestigious journals, including the Proc of IEEE, and giving several keynote and plenary talks at international conferences, symposiums and workshops regarding emerging technologies in biomedical engineering. He is President-Elect of the IEEE Engineering in Medicine and Biology Society. He is the founding editor-in-chief of the Biomedical Engineering Book Series published by the Wiley and IEEE Press and the Wiley Encyclopedia of Biomedical Engineering. He is also the editor of the Neural Engineering Handbook published by Wiley/IEEE Press and the first steering committee chair of the IEEE Trans on Computational Biology and Bioinformatics. He established the IEEE EMBS Special Topic Conference on Neural Engineering. He is also the chair of the IEEE EMBS Neuroengineering Technical Committee. He was the program chair of the International IEEE EMBS 2001 and the co-chair of the International IEEE EMBS 2006 and the program co-chair of the International IEEE EMBS 2011 and the IEEE EMBS Point-of-Care Health Technologies (POCHT) 2013. He currently serves on the advisory board of several international journals including the IEEE T-BME, IEEE T-ITIB, Smart Engineering Systems etc. and furthermore serves on several NIH and NSF review panels Dr. Akay is a recipient of the IEEE EMBS Early Career and Service awards as well an IEEE Third Millenium Medal and is a fellow of IEEE, the Institute of Physics (IOP), the American Institute of Medical Biological Engineering( AIMBE) and the American Association for the Advancement of Science (AAAS). His Neural Engineering and Informatics Lab is interested in developing an intelligent wearable system for monitoring motor functions in Post-Stroke Hemiplegic Patients and detecting coronary artery disease. In addition, his lab is currently investigating the effect of nicotine on the dynamics of ventral tegmental area (VTA) dopamine neural networks.
Dr. Yuan-Ting Zhang is currently the Chair Professor of Biomedical Engineering at City University of Hong Kong. He was the Sensing System Architect in Health Technology at Apple Inc., California, USA in 2015, and the founding Director of the Key Lab for Health Informatics of Chinese Academy of Sciences till 2018. Professor Zhang dedicated his service to the Chinese University of Hong Kong from 1994 to 2015 in the Department of Electronic Engineering, where he served as the first Head of the Division of Biomedical Engineering and the founding Director of the Joint Research Center for Biomedical Engineering. Prof. Zhang was the Editor-in-Chief for IEEE Transactions on Information Technology in Biomedicine and the founding Editor-in-Chief of IEEE Journal of Biomedical and Health Informatics. He served as Vice Preside of IEEE EMBS, Technical Program Chair of EMBC’98 in Hong Kong, Conference Chair of EMBC’05 in Shanghai, International Committee Co-Chair of EMBC’07 in Lyon, Internationale Committee Chair of EMBC’ 11 in Boston, Internationale Committee Chair of EMBC’13 in Osaka, and Technical Program Co-Chair of EMBC’17 in Jeju Island. He was the Chair of 2018 Gordon Research Conference on Advanced Health Informatics, Prof. Zhang is currently the Editor-in-Chief for IEEE Reviews in Biomedical Engineering, Chair of the Working Group for the development of IEEE 1708 Standard on Wearable Cuffless Blood Pressure Measuring Devices, and Chair of 2016-2018 IEEE Award Committee in Biomedical Engineering. Prof. Zhang's research interests include cardiovascular health informatics, unobtrusive sensing and wearable devices, neural muscular modeling and pHealth technologies. He was selected on the 2014, 2015, 2016 and 2017 lists of China’s Most Cited Researchers by Elsevier. He won a number of international awards including IEEE-EMBS best journal paper awards, IEEE-EMBS Outstanding Service Award, IEEE-SA 2014 Emerging Technology Award. Prof. Zhang is elected to be IAMBE Fellow, IEEE Fellow and AIMBE Fellow for his contributions to the development of wearable and m-Health technologies.
Yasemin M. Akay is currently an Assistant Professor at the Department of Biomedical Engineering, Cullen College of Engineering, University of Houston. She received her B.S. in Pharmaceutical Sciences from the Hacettepe University, Ankara, Turkey in 1980 and M.S. and Ph.D in Biomedical Engineering from the Rutgers University, Piscataway, NJ, USA in 1991 and 1998, respectively.  Her research focuses on novel technologies for cost-effective high-throughput screening of novel cancer drugs and therapeutics and assessment of treatment responses She is currently exploring the effect of maternal smoking during pregnancy by analyzing the mRNA expressions of a single cell analysis of the infant rats’ dopamine neurons using patch-clamp electrophysiology and DNA microarrays
Xiaolong Xureceived the Ph.D. degree in computer science and technology from Nanjing University, China, in 2016. He was a Research Scholar with Michigan State University, USA, from April 2017 to May 2018. He is currently a Professor with the School of Computer and Software, Nanjing University of Information Science and Technology. He has published more than 60 peer-review articles in international journals and conferences, including the IEEE Transactions on Intelligent Transactions Systems (TITS), the IEEE Transactions on Industrial Informatics (TII), the ACM Transactions on Internet Technology (TOIT), the ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), the IEEE Transactions on Cloud Computing (TCC), the IEEE Transactions on Big Data (TBD), the IEEE Transactions on Computational Social Systems (TCSS), the IEEE Internet of Things Journal (IEEE IOT), the IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), the IEEE International Conference on Web Services (ICWS), and ICSOC. Among them, 10 of them are ESI highly cited papers, and 8 of them are ESI hot papers. He received the Best Paper Award from the IEEE CBD 2016, the TOP citation award from the Computational Intelligence journal in 2019, the Distinguished Paper Award and the Best Student Paper of EAI Cloudcomp 2019. He has severed as chairs in several international conferences, including IEEE HPCC, IEEE Smart City, IEEE CPSCom, EAI Cloudcomp, etc. He also served as guest editors in several international journals. His research interests include edge computing, the Internet of Things (IoT), cloud computing, and big data.
Muwei Jian received the PhD degree from the Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, in October 2014. Currently, Dr. Jian is a Professor and Ph.D Supervisor at the School of Computer Science and Technology, Shandong University of Finance and Economics. Dr. Jian has been awarded a member of the Royal Society – K. C. Wong International Fellow under Newton International Fellowship (NIF). Meanwhile, he is supported by the "Taishan Young Scholars Program" of Shandong Province. His current research interests include human face recognition, image and video processing, machine learning and computer vision. Prof. Jian was actively involved in professional activities. Dr. Jian has also served as a reviewer for several international SCI-indexed journals, including IEEE Trans., Pattern Recognition, Information Sciences, Computers in Industry, Machine Vision and Applications, Machine Learning and Cybernetics, The Imaging Science Journal, and Multimedia Tools and Applications. Prof. Jian holds 3 granted national patents and has published over 80 papers in refereed international leading journals/conferences such as IEEE Trans. on Cybernetics, IEEE Trans. on Multimedia, IEEE Trans. on Circuits and Systems for Video Technology, Pattern Recognition, Information Sciences, Signal Processing, ISCAS, ICME and ICIP.
Rushi Lan received the B.S. and M.S. degrees from the Nanjing University of Information Science and Technology, Nanjing, China, and the Ph.D. degree from the University of Macau, Macau, China. He is currently an Associate Professor with the School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China, and is the Deputy Director of Guangxi Key Laboratory of Image and Graphic Intelligent Processing. His current research interests include image classification, image denoising, and metric learning. Dr. Lan is supported by the Natural Science Fund for Distinguished Young Scholars of Guangxi, and the “Hundred Talents Program” of Guangxi. He has published over 50 papers in refereed international leading journals/conferences such as IEEE Trans. Image Processing, IEEE Trans. on Cybernetics, IEEE Trans. on Circuits and Systems for Video Technology, ICME and ICIP.