Speakers    

kEYNOTE SPEAKER
 

Prof. Dongrui Wu
(伍冬睿教授)
华中科技大学人工智能与自动化学院教授、博导、院长助理，图像信息处理与智能控制教育部重点实验室副主任，IEEE Fellow，IEEE模糊系统汇刊(IF=11.9)主编，《国家科学评论》信息学科编辑工作组成员。
IEEE fellow

Huazhong University of Science and Technology, China

Bio-sketch: Dongrui Wu (IEEE Fellow) received a PhD in Electrical Engineering from the University of Southern California, Los Angeles, CA, in 2009. He is now Professor at School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.

Prof. Wu's research interests include brain-computer interface, machine learning, computational intelligence, and affective computing. He has more than 200 publications (13000+ Google Scholar citations; h=60). He received the IEEE Computational Intelligence Society Outstanding PhD Dissertation Award in 2012, the IEEE Transactions on Fuzzy Systems Outstanding Paper Award in 2014, the IEEE Systems, Man and Cybernetics Society Early Career Award in 2017, the USERN Prize in Formal Sciences in 2020, the IEEE Transactions on Neural Systems and Rehabilitation Engineering Best Paper Award in 2021, the Chinese Association of Automation (CAA) Early Career Award in 2021, the Ministry of Education Young Scientist Award in 2022, and First Prize of the CAA Natural Science Award in 2023. His team won National Champion of the China Brain-Computer Interface Competition in two successive years (2021-2022). Prof. Wu is the Editor-in-Chief of IEEE Transactions on Fuzzy Systems.

Topic: Machine Learning in Brain-Computer Interfaces
Abstract: A brain-computer interface (BCI) enables direct communication between the brain and external devices. Electroencephalograms (EEGs) used in BCIs are weak, easily contaminated by interference and noise, non-stationary for the same subject, and varying across different subjects and sessions. Thus, sophisticated machine learning approaches are needed for accurate and reliable EEG decoding. Additionally, adversarial security and privacy protection are also very important to the broad applications of BCIs. This talk will introduce machine learning algorithms for accurate, secure and privacy-preserving BCIs.

 

Prof. Giancarlo Succi
 

Department of Computer Science and Engineering

University of Bologna, Italy

Bio-sketch: Giancarlo Succi (Member, IEEE) is a Professor with the Alma Mater Studiorum — University of Bologna, Italy. Before joining the University of Bologna, he was a Full Professor with Innopolis University, Russia; a Professor (tenure) with the Free University of Bolzano–Bozen, Italy, and the University of Alberta, Edmonton, AB, Canada; an Associate Professor with the University of Calgary, AB; and an Assistant Professor with the University of Trento, Italy. His research interests include multiple areas of software engineering, including open source development, agile methodologies, experimental software engineering, software engineering over the internet, software product lines, and software reuse.

 

Prof. Chao SheN

国家级领军人才特聘教授
国家优青
达摩院青橙奖
MIT TR35 China
 

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University, CHINA

Bio-sketch: Chao Shen (Senior Member, IEEE) received the BS degree in automatic control and the PhD degree in system engineering from Xi’an Jiaotong University, Xi’an, China, in 2007 and 2014, respectively. He is currently a professor with the faculty of Electronic and Information Engineering, Xi’an Jiaotong University of China. From 2011 to 2013, he was a Joint PhD Student with Machine Learning of Carnegie Mellon University. And he also became the sole recipient of the 2023 the IEEE SMC Early Career Award for his significant contributions to theory and industrial applications of intelligent system control and security by the IEEE Systems, Man, and Cybernetics Society (IEEE SMC) on Oct 3. His research interests mainly include deep learning, data mining, AI security, and their applications for vision, big data, system security, and smart city. He is currently an associate editor for a number of journals, including the IEEE Transactions on Dependable Secure Computing and Journal of Franklin Institute, and TPC of conferences, including ACM CCS, NDSS, and ICDCS.
 

Invited SPEAKERS
 

Assoc. Prof. Pavel Loskot
 

ZJU-UIUC Institute, Zhejiang University, China

Bio-sketch: Pavel Loskot joined the ZJU-UIUC Institute in January 2021 as an Associate Professor after being 14 years with Swansea University in the UK. He received his PhD degree in Wireless Communications from the University of Alberta in Canada, and the MSc and BSc degrees in Radioelectronics and Biomedical Electronics, respectively, from the Czech Technical University of Prague in the Czech Republic. In the past 25 years, he was involved in numerous collaborative research and development projects, and also held a number of paid consultancy contracts with industry. He is the Senior Member of the IEEE, Fellow of the Higher Education Academy in the UK, and the Recognized Research Supervisor of the UK Council for Graduate Education. His current research interests focus on mathematical and probabilistic modeling, statistical signal processing and classical machine learning for multi-sensor data.

Prof. Dr. Abdel-Badeeh Mohamed Salem

Professor of Computer Science, Faculty of Computer and Information Sciences,
Ain Shams University, Cairo, Egypt
Founder &Head of Artificial Intelligence and Knowledge Engineering Research 

Bio-sketch: Prof. Dr. Abdel-Badeh M. Salem is a professor emeritus of Computer Science since September 2007 till now. He was a former Vice Dean of the Faculty of Computer and Information Sciences at Ain Shams University, Cairo-Egypt (1996-2007). He was a full professor Dr.of Computer Science at Faculty of Science, Ain Shams University from 1989 to 1996. He was a Director of Scientific Computing Center at Ain Shams University (1984-1990).In 1996 he was moved to the Faculty of Computer and Information Sciences at the same university. His research includes Knowledge engineering and computing, expert systems, intelligent medical and health informatics, and intelligent e-learning technologies. He has published around 850 papers in refereed journals and conference proceedings in these areas, 150 of them are in Scopus . He has been involved in more than 800 conferences and workshops as a Keynote speaker, member of Int. Program Committees, organizer and Session Chair. He is author and co-author of 25 Books in English and Arabic Languages.

Assoc. Prof. Mehdi Gheisari
 

Iran Shenzhen BKD Co.LTD, China; Islamic Azad University, Iran

Bio-sketch: Mehdi Gheisari (mehdi.gheisari61@gmail.com) is an Iranian Ph.D. holder in computer science who obtained his doctorate from China. He has actively engaged in collaborative projects with colleagues from various countries, spanning different domains, to expand his breadth of knowledge. His research interests encompass a wide range of areas, including IoT, E-Healthcare, Smart City, Machine Learning, Remote Sensing Data, Distributed Systems, and Cybersecurity.
In addition to his research pursuits, he has actively contributed to the academic community. He has served as a reviewer for well-established venues such as IEEE Communication Magazine and has been a member of the Technical Program Committee (TPC) for several conferences. Furthermore, he has taken on roles as an associate editor or guest editorial member for esteemed publications, including IEEE JSTAR, Cryptography, and JHCE.
For more information about Mehdi Gheisari's profile and publications, please visit his Google Scholar profile at:
https://scholar.google.com/citations?hl=en&user=tmWQt9UAAAAJ&view_op=list_works&sortby=pubdate