Prof. Dong Ming

Tianjin University, China

Prof. Dong Ming is the Chair Professor of the Department of Biomedical Engineering of TJU, the director of the Tianjin Neural Engineering Center, the director of Academy of Medical Engineering and Translational Medicine and the Chair of IEEE-EMBS Tianjin Chapter; Award winner of National Science Foundation for Distinguished Young Scholars; Award winner of the first National Science Foundation for Excellent Young Scholars; Young and Middle-Aged Leading Talents of Science and Technology Innovation, Ministry of Science and Technology of China; Expert funded with State Council Government Special Allowance; Director of Intelligent Medical Engineering, Engineering Research Center of Ministry of Education of China; Director of Tianjin Brain Science and Brain-Like Research Center; Life Member of IFESS; Chairman of youth working committee of Chinese Society of Biomedical Engineering; Deputy Editor in Chief of International Journal of Biomedical Engineering. Prof. Ming has been authorized for more than 80 patents and software works, and several international patents under PCT. Several of his research papers has been selected as TOP Cited Paper Award for IOP Publishing, Highlight for JNE, Highly Accessed for JNER and Cover papers of IEEE TBME etc., several papers were reported by Nature and Science in special issues. Relevant achievements were selected into the 13th Five-Year Scientific and Technological Innovation Achievement Exhibition.

Speech Title: "Brain-Body Associations during Motor Tasks after Electrical Stimulation-based Motor Rehabilitation"

Abstract: First, the report will briefly introduce the background of stroke rehabilitation, and then will show the work we have done with mobile EEG or EMG to figure out the mechanism of functional electrical stimulation. After that, it will introduce the application of electrical stimulation for motor rehabilitation. Last but not least, it will talk about some related future work for better rehabilitation.

Prof. Tetsuo Shibuya

The University of Tokyo, Japan

Tetsuo Shibuya is a professor at the Human Genome Center, Institute of Medical Science, The University of Tokyo. He was a researcher at IBM Tokyo Research Laboratory from 1997 to 2004. He was a senior assistant professor and an associate professor at the Human Genome Center, Institute of Medical Science, The University of Tokyo from 2004 to 2009 and 2009 to 2020 respectively. He received the Funai Sciences Award and the Microsoft Research Japan New Faculty Award in 2011, as well as the Science and Technology Award from MEXT, Japan in 2021. His research interests are in bioinformatics algorithms.

Speech Title: "Toward Privacy Preserving Biomedical Data Analysis"

Abstract: Bioinformatics is a research area where we analyze various biomedical data, but many of these data, especially the increasing individual genome data, contain highly sensitive data. When we publish even the simplest statistics of biomedical databases, we need to be very careful so that as little as possible (preferablly no) individual sensitive information leaks. Differential privacy is one of the most important measures to evaluate how safe the published data are from the viewpoint of privacy. In this talk, we will give several efficient differential private methods for publishing key fundamental statistics in genome association study.

INVITED SPEAKERS

Prof. Mitsuhiro Ogawa

Teikyo University, Japan

Mitsuhiro Ogawa obtained his Bachelor's and Master's degrees from Waseda University, Japan and later earned his Doctorate from Tokyo Medical and Dental University, Japan. He currently serves as a professor in the Department of Information and Electronic Engineering, the Faculty of Science and Engineering, Graduate School of Science and Engineering and two Graduate School degree programs at Teikyo University, Japan. His research interests are in biomedical engineering, welfare engineering, and game science. He is particularly advancing research on non-invasive biometric measurements for cardiovascular measurement and physical/mental stress measurement. He is also interested in developing technologies to leverage or overcome individual differences and their characteristics among humans. He pays attention to the differences between able-bodied individuals and those with physical disabilities. He is a member of organizations such as IEEE, the Japanese Society for Medical and Biological Engineering (JSMBE), and Digital Games Research Association Japan (DiGRA Japan). At the DiGRA Japan, he serves as a representative, and at the JSMBE, he holds a position on the board of directors.

Speech Title: "Development of an Image-Input Game Controller Aiming for a Personalized Interface"

Abstract: The morphology and biomechanical functionalities of human extremities, specifically limbs and fingers, exhibit pronounced inter-individual variability. This heterogeneity is especially pronounced in individuals with physical impairments. However, delineating the continuum of these variations, even among ostensibly "able-bodied" populations, remains an intricate challenge. The primary objective of this research is to engineer game controller interfaces that are meticulously tailored to the distinctive anatomical and functional attributes of an individual's extremities. To realize this objective, we embarked on the formulation of a controller underpinned by image-based input modalities. This innovative system harnesses video capture techniques to ascertain the spatial orientations of hands and fingers in relation to predefined symbols or buttons illustrated on a physical medium. By deducing these relative spatial metrics, the system determines appropriate inputs for the gaming interface. Critically, this methodology affords the strategic placement of interactive elements, ensuring optimal accessibility based on the biomechanical constraints of the fingers. For the precise identification of interactive symbols, we integrated the YOLO v7 object detection framework, while google MediaPipe was instrumental for the nuanced detection of finger positions. With the developed system, it was possible to facilitate interface input for digital gameplay.

Assoc. Prof. Hao Jiang

Renmin University of China, China

Hao Jiang received the B.S. degree from the Harbin Institute of Technology, Harbin, China, in 2009, and the Ph.D. degree from The University of Hong Kong, Hong Kong, in 2013. In 2010 and 2012, she was a Visiting Scholar with Soka University, Tokyo, Japan, and Kyoto University, Kyoto, Japan, respectively. She is currently an Associate Professor with the School of Mathematics, Renmin University of China, Beijing, China. Her research interests include learning-based modeling in bioinformatics, optimization, and control of complex systems.

Speech Title: "Heterogeneity Analysis in Single Cell Data"

Abstract: Cellular heterogeneity is a major problem in cancer analysis, and it is masked if bulk tumor tissues are used for analysis. The rapid advancement of single cell technologies has shed new light on the complex mechanisms of cellular heterogeneity. Identification of intercellular heterogeneity is one of the most critical tasks in single-cell sequencing studies. In this talk, we will address the problem of single cell RNA-sequencing data analysis in terms of nonlinear modelling, data imputation, embedding etc. The complex multi-omics data integration for cellular heterogeneity analysis will also be discussed.

Asst. Prof. Faez Iqbal Khan

Xi'an Jiaotong-Liverpool University, China

Dr. Faez Iqbal Khan is currently serving as an Assistant Professor within the Department of Biological Sciences at Xi'an Jiaotong-Liverpool University. He holds a Ph.D. degree in Computational Chemistry (Bioinformatics) from Durban University of Technology, South Africa. Dr. Khan has obtained Bachelor's and Master's degrees in Biomedical Science and Bioinformatics, respectively. Throughout his career, Dr. Khan has conducted research and teaching across esteemed institutions such as Rhodes University (South Africa), South China University of Technology, and the University of Electronic Science and Technology of China. His main areas of research focus on Protein engineering, Protein folding, drug design, and Protein dynamics. Dr. Khan established wide-ranging collaborations with BRICS countries and mentored several postgraduate students. He has authored over 70 publications in international peer-reviewed journals, which are well cited.

Speech Title: "The Effect of Temperature on the Structure and Function of SARS-CoV-2 Spike Protein"

Assoc. Prof. Xingwei An

Tianjin University, China

Xingwei An is an associate professor at the Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China. She was a postdoctor at Tianjin University from 2015 to 2017. She was a visiting student at Berlin University of Technology from 2011 to 2013. Her major research interests include the basic theories and key technologies of neural engineering, the design of brain-computer interface systems, and the applications in the field of ergonomics and medicine including EEG-based identity recognition, consciousness detection, and intelligent MRI processing.

Speech Title: "An Introduction to Passive Brain Computer Interface"

Abstract: In a world driven by technological innovation, the evolution of Brain-Computer Interfaces (BCIs) has emerged as a profound and transformative breakthrough. The BCI system, which can passively decode the mental states of the user by using spontaneously generated neurophysiological signals, is called the passive BCI (pBCI). pBCI can be exploited to monitor specific brain activities and predict human mental states such as fatigue, workload and emotions. Based on that, the system can then make appropriate feedback to users based on real-time monitoring results, so as to achieve a friendlier, more comfortable and safer interaction between people and intelligent systems. The diverse applications of pBCI span emotion recognition, healthcare, entertainment, and technology, heralding a new era of user-centric, emotionally intelligent technology. As the technology continues to advance, the potential for even more innovative applications is on the horizon. This report will introduce pBCI from the aspects of working principle, commonly used algorithms and typical application scenarios, and put forward views on current problems and future development.

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PRVIOUS KEYNOTE SPEAKERS

Prof. Yudong Zhang University of Leicester, UK	Prof. Dong Sun City University of Hong Kong, Hong Kong	Prof. Nicola Mulder University of Cape Town, South Africa	Prof. Stephen Kwok-Wing Tsui The Chinese University of Hong Kong, Hong Kong

PRVIOUS INVITED SPEAKERS

Assoc. Prof. Lin Meng Tianjin University, China	Assoc. Prof. Jie Luo Shanghai Jiao Tong University, China