SPML 2024

Invited Speakers

 

Prof. Sergey Vishnyakov

National research univercity "Moscow power engineering institute", Russia

 

Sergey Vishnyakov is a director of the Information Technologies and Computer Science Institute and a department head of Computers, systems and networks department in MPEI. Sergey Vishnyakov received the Ph.D. degree in theoretical electrical engineering in 2005. The research area is an implementation of multidimensional digital signal processing in finite elements analysis, the application of the methods of the electrical engineering and electrodynamics to a digital signal processing. The current research interest is a multidimensional digital signal processing and convolutional neural networks on irregular meshes.

 

Prof. Xiaotian Zhou

Shandong University, China

 

Xiaotian Zhou received the B.E. degree in electronic information engineering and the Ph.D. degree in communication and information systems from Shandong University, China, in 2007 and 2013, respectively. From 2011 to 2013, he was with Dept. of ECE at Colorado State University as a visiting student. He is currently an Associate Professor with the School of Control Science and Engineering, Shandong University.,His research interests include (B)5G wireless communication networks, non-orthogonal multiple access (NOMA), massive multiple input and multiple output (MIMO), and multiple access edge computing (MEC). He has published more than 30 papers in the journals and conference proceedings and held 13 issued patents. He is now served as the associate editor for IET Communications.

 

 

Prof. Ming Zhang

Boston University, Boston, USA

 

Dr. Ming Zhang’s primary research areas include Machine Learning, Data Science, Computer Vision, and Artificial Intelligence. He created an Artificial Intelligence & Computer Vision (AICV) Lab at Boston University to promote interdisciplinary teaching and research by developing new technologies and software tools, providing hands-on experience for students, and fostering multidisciplinary collaborations with hospitals. Dr. Zhang has over 80 peer-reviewed publications in various prestigious journals and referred conference proceedings. As principal investigator or co-investigator, he has received grants from the National Institutes of Health (NIH), the National Science Foundation (NSF), and the US Food and Drug Administration (FDA), among other foundations and universities, for an award totaling $4.4 million.

 

Assoc. Prof. Bin Zhang
Kanagawa University, Japan

 

Bin Zhang received the B.Sc. degree in Automation from Harbin Engineering University, China, and the M.Sc. and Ph.D. degrees in Intelligent Mechanical Engineering from The University of Electro-Communications, Japan. He is currently an Associate Professor with the Department of Mechanical Engineering, Kanagawa University, Japan. His research interests include intelligent robotics, human-robot interaction, intelligent information processing, autonomous vehicles and artificial intelligence. He has published more than 120 papers on international journals and conferences in recent years including IEEJ, IEICE etc. He was awarded the best paper awards for ICSR2016, ICDSP2022, EAI 6GN2023 etc.

 

 

Prof. Hoshang Kolivand

Liverpool John Moores University, Liverpool, UK

 

Hoshang Kolivand is an Assoc. Prof in AI and Mixed Reality at Liverpool John Moores University (LJMU). With an MS degree in Applied Mathematics and Computer Science and a PhD and a Postdoc in Augmented Reality, he is a leading expert in these fields. As the Head of the Applied Computing Research Group at LJMU, Dr. Kolivand leads a team of over 35 researchers, focusing on AI and Augmented Reality. He has published extensively with over 170 papers in international journals and has presented at numerous conferences. Dr. Kolivand is a Senior Member of the IEEE and has served as a keynote speaker at more than 55 international conferences. He has organized over 30 conferences in AR, VR, AI, and HCI. In addition to his academic contributions, Dr. Kolivand has authored book chapters and several products which received over 14 awards for his work in Virtual Reality and Augmented Reality. As a dedicated researcher and educator, Dr. Hoshang Kolivand plays a significant role in advancing AI and Mixed Reality technologies, making valuable contributions to the field through his expertise and leadership.

 

Assoc. Prof. Lei Chen
Shandong University, China

 

Lei Chen received the B.Sc. and M.Sc. degrees in electrical engineering from Shandong University, Jinan, China, and the Ph.D. degree in electrical and computer engineering from University of Ottawa, Ontario, Canada. He is currently an Associate Professor with the School of Information Science and Engineering, Shandong University, China. His research interests include image processing and computer vision, visual quality assessment and pattern recognition, machine learning and artificial intelligence. He was the principal investigator of projects granted from the National Natural Science Foundation of China, National Natural Science Foundation of Shandong Province, China Postdoctoral Science Foundation, etc. He has published more than 40 papers on top international journals and conferences in recent years including IEEE TIP, Signal Process., ICME, etc. He was awarded the Future Plan for Young Scholars of Shandong University. He served for many international conferences including the ICIGP 2021, CSAI2022, MLCCIM2022, and ICIVC 2023 as Program Chair, Technical Chair or Publicity Chair.

 

 

Asst. Prof. Baha Ihnaini

Wenzhou-Kean University, China

 

Dr. Baha Ihnaini completed his Ph.D. in Computer Science at Universiti Utara Malaysia in 2019, where he was part of the InterNetWorks Research Lab. His dissertation was titled "An Expandable Arabic Lexicon and Valence Shifter Rules for Sentiment Analysis on Twitter," focusing on enhancing Arabic language processing on social media platforms. During his Ph.D., Dr. Ihnaini developed a comprehensive dataset of Arabic tweets, created a sentiment lexicon, and enhanced sentiment analysis by introducing new linguistic rules.
Dr. Ihnaini's academic journey also includes earning an M.Sc. in Management Information Systems from AABFS and a B.Sc. in Computer Engineering from Philadelphia University, achieved in 2008 and 2005, respectively. He has held a position as a lecturer at Al Khawarizmi International College in Abu Dhabi, where he taught between 2011 and 2015. Since August 2020, he has served as an Assistant Professor in the Computer Science Department at Wenzhou-Kean University. In addition to his teaching role, Dr. Ihnaini leads the WKU Institute of AI & NLP (IAINLP) and holds the roles of Principal Investigator (PI) and Co-Principal Investigator (Co-PI) for several research grants in China. His research interests include Natural Language Processing, Large Language Models, and Text Classification.
 

 

Asst. Prof. Qian Liu

University of Winnipeg, Canada

 

Dr. Qian Liu is an Assistant Professor in the Department of Applied Computer Science at the University of Winnipeg. Dr. Liu was trained in machine learning, deep learning, applied statistics, bioinformatics, computational biology, and medical imaging. Her lab focuses on developing and applying advanced data science techniques, including but not limited to multi-modal data (genomics data, imaging data, time-series data, graph data) integration, joint statistics and machine learning, and interpretable artificial intelligence (AI), to address specific domain questions in healthcare and material science. Dr. Liu’s research is performed in an independent, multidisciplinary and collaborative team framework where her expertise in AI, statistical genetics and bioinformatics complements that of his collaborators.