Assoc. Prof. Linqiang Ge, Columbus State University, USA

Speech Title: Topological Data Analysis for Scalp EEG Signal Processing

Dr. Linqiang Ge holds the position of associate professor within the TSYS School of Computer Science at Columbus State University, GA, USA. His primary research areas encompass Cyber Security, Computer Networks, Cyber-Physical Systems and digital signal processing, reflecting his deep commitment to understanding and fortifying the digital world against emerging threats. Within the broad domain of Cyber Security, Dr. Ge specializes in wireless and sensor networks, delving into the intricate intricacies of safeguarding these vital communication channels. He has authored 40 papers in renowned security and system conferences, respected journals such as the International Journal of Security and Communication Networks (SCN), the IEEE Internet of Things Journal, IEEE Transactions on Intelligent Transportation Systems, Journal of Biomedical and Health Informatics (JBHI), IEEE the IEEE International Conference on Computer Communication and Networks (ICCCN), and so on.

Assoc. Prof. Weizhi Meng, Technical University of Denmark, Denmark

Speech Title: Towards Enhanced EEG-based Authentication with Motor Imagery BCI

Dr. Weizhi Meng is currently an Associate Professor in the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), Denmark. His primary research interests are intersections between Artificial Intelligence, Cyber Security and Blockchain technology. He serves as associate editors / editorial board members for many reputed journals such as IEEE TIFS and IEEE TDSC, as well as General Chair / Program Committee Chair for various international conferences such as ACM CCS 2023 and ESORICS 2022. He is directing the SPTAGE Lab at DTU.

Assoc. Prof. Qing Li, Anhui Agricultural University, China

Speech Title: New progress of sparse low-rank matrix framework for fault diagnosis in mechanical systems

Dr. Qing Li received the Ph.D. degree from the College of Mechanical Engineering, Donghua University, Shanghai, China, in 2019. He was a Visiting Researcher with the Georgia Institute of Technology, Atlanta, GA, USA, from December 2016 to July 2018. He was a Post-Doctoral Research Fellow with the Department of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada, from June 2019 to June 2020. He is currently an Associate Professor with the Department of Mechanical Engineering, Anhui Agricultural University, Hefei, China. His technical research interests include diagnosis, prognostics, and signal processing. He has authored 51 research articles and 24 patents in these areas. He is editorial board member of measurement science review (SCI) and lead guest editor for 3 SCI journals.

Assoc. Prof. Yifei Ji, National University of Defense Technology, China

Speech Title: Probing and Measuring Equatorial Plasma Bubbles via Spaceborne Synthetic Aperture Radar

Yifei Ji received the B.S. degree in electronic information engineering from Nanjing University of Science and Technology, Nanjing, in 2014, and the M.S and Ph.D. degrees in information and communication engineering from National University of Defense Technology (NUDT), Changsha, in 2016 and 2020, respectively. Dr. Ji is currently an Associate Professor with the College of Electronic Science and Technology of NUDT. He was a recipient of the Excellent Doctorate Thesis of China Education Society of Electronics (CESE) in 2021 and of NUDT in 2022, respectively, and of the Excellent Master Thesis of Hunan Province in 2019, and of the Excellent Academic Report of Doctor Forum and the Rising Star of Radar granted by the Journal of Radars. He was also selected for the Postdoctoral Innovative Talent Support Program. His research fields of interest include radar signal processing, synthetic aperture radar and ionospheric impacts.

Prof. Xiqiang Zheng, Voorhees University, USA

Speech Title: Comparisons of some image segmentation algorithms for automatic feature delineation and measuring in medical images

Dr. Zheng is a full professor of mathematics and computer science at Voorhees University located in South Carolina of the USA. He has been performing research on image processing for more than 20 years; and has published more than 10 research papers. In recent years, his research has been supported by a National Science Foundation and two Henry C. McBay Faculty Research Fellowships in the USA. His research topics include CT image reconstruction and morphological operations utilizing optimal sampling grids as well as image segmentation utilizing statistical region merging and nonlinear transformations.

Dr. Zhuang Xie, National University of Defense Technology, China

Speech Title: RIS-aided radar for target detection: performance analysis and joint active-passive design

Zhuang Xie received the B.S. degree in Electronic Information Engineering from the Harbin Institute of Technology, Harbin, China, in 2018, and the M.S. degree in Information and Communication Engineering from the National University of Defense Technology, Changsha, China, in 2020, where he is currently pursuing the Ph.D. degree. His research interests include radar signal processing and optimization theory, with emphasis on radar waveform design. He received the Best Presentation Award in The IEEE International Conference on Signal and Image Processing (ICSIP), the outstanding M.S. degree thesis of the National University of Defense Technology and the Hunan Province. He serves in Program Committee for various international conferences such as IEEE ICSIP, ICSPS, and also as an invited speaker of the first National Defense Technology Highland Forum (2023), Changsha, China.

Asst. Prof. Jingyi Zheng, Auburn University, USA

Speech Title: Towards Classification of Covariance Matrices via Bures-Wasserstein-Based Machine Learning

Dr. Jingyi Zheng is an Assistant Professor in Statistics at Auburn University, AL, USA. Dr. Zheng obtained the Ph.D. degree in statistics from University of California, Davis in 2019. Her research interests include high-dimensional data analysis, manifold learning, signal and imaging processing, and machine learning. Dr. Zheng’s research have been supported by National Science Foundation, National Institutes of Health, Department of Homeland Security, and Department of Veterans Affairs.