Keynote Speakers

Xingshe Zhou received the B.S. and Ph.D. degrees from the School of Computer Science, Northwestern Polytechnical University (NPU), Xi’an, China. He is currently a Professor at the School of Computer Science, NPU, and the Director of Shaanxi Key Laboratory of Embedded System Technology, NPU. His research interests include embedded computing and pervasive computing.

周兴社，西北工业大学计算机学院教授；CCF会士、CCF咨询委员会首届委员；工信部电子信息科技委员会委员；陕西省计算机学会理事长。主要从事网络化嵌入式计算与普适计算，分布式计算与信息物理融合系统及其应用研究，长期主持相关国家重点基金、国家重大专项以及国防预研等课题，发表学术论文100余篇，获得发明专利20余项，获得多项省部级科技一等奖，获得多项省级与国家教学成果奖，为CCF杰出教育奖获得者。

Speech Title: 智能计算系统及其研发实践
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Qiguang Miao received the PhD degree from Xidian University in 2005. He is currently the professor and PhD degree supervisor with the School of Computer Science and Technology, Xidian University. He has authored or coauthored more than 100 papers in the significant international journals or conferences. His research interests include intelligent image/video understanding and Big Data.

苗启广，教授、博导，教育部高等学校教育技术与人工智能教学指导委员会委员、西安电子科技大学华山学者领军教授，西安电子科技大学信息化推进办公室主任、计算机科学与技术学院教授委员会主任、大数据与视觉智能重点实验室主任、协同智能系统教育部重点实验室副主任；教育部工程教育专业认证专家。连续三年入选斯坦福大学《全球前2%顶尖科学家榜单》(终身/年度影响力)；获中央网信办"网信优秀人才"、教育部新世纪优秀人才、山东省泰山学者产业创新领军人才、陕西省特支计划教学领军人才、陕西省教学名师等荣誉。在Cell子刊、IEEE汇刊、人工智能顶会等发表论文230篇，累计申请发明专利170余项，出版专著《智能教育技术及应用》等8部，获陕西省自然科学一等奖、国家级/省级教学成果奖等10项。

Speech Title: TBA
Abstract: More information will be added soon...

 

Jihua Zhu received the Ph.D. degree in pattern recognition and intelligence systems from Xi'an Jiaotong University, Xi'an, China, in 2011. He is currently a Professor with the School of Software Engineering, Xi'an Jiaotong University, China. He is senior member of IEEE and Associate Editor of EURASIP Journal on Image and Video Processing. His research interests include computer vision and machine learning.

Speech Title: TBA
Abstract: More information will be added soon...

 

Kaibing Zhang received the M.Sc. degree in computer software and theory from Xihua University, Chengdu, China, in 2005, and the Ph.D. degree in pattern recognition and intelligent system from Xidian University, Xi’an, China, in 2012. He is currently a Professor at the School of Computer Science, Xi’an Polytechnic University, Xi’an. His main research interests include pattern recognition, computer vision, and image super-resolution reconstruction. In these areas, he has published around 50 technical articles in refereed journals and proceedings, including IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Signal Processing Letters, Knowledge-Based Systems, Signal Processing (Elsevier), Neurocomputing, CVPR, and ICIP.

Speech Title: TBA
Abstract: More information will be added soon...

 

Invited Speakers

Prof. Dr. Mohan Lal Kolhe is a distinguished academic and researcher, currently serving as a Full Professor of Smart and Sustainable Electrical Energy Systems with Renewables and Hydrogen at the University of Agder in Norway. He is an internationally recognized expert in smart grids, renewable energy technologies, and hydrogen systems, with over three decades of global academic leadership and innovation.
Prof. Kolhe’s research spans integrated renewable energy systems, power electronics and grid stability, hydrogen production and utilization, and AI-enabled energy management. He has held significant academic positions at world-renowned institutions, including University College London (UK/Australia), University of Dundee (UK), University of Jyvaskyla (Finland), and the Hydrogen Research Institute (Canada). He also served on the Government of South Australia’s first Renewable Energy Board (2009–2011), contributing to progressive renewable energy policy development.
A prolific author and editor, Prof. Kolhe has published extensively and secured competitive funding from leading research bodies such as the Norwegian Research Council, EU, EPSRC, and BBSRC. His work has been ranked among the top 2% of scientists globally by Stanford University metrics, reflecting its high impact and influence in the transition toward sustainable energy systems.

Chao Fang received his B.S degree in Information Engineering from Wuhan University of Technology, Wuhan, China, in 2009, and the Ph.D. degree with the State Key Laboratory of Networking and Switching Technology in Information and Communication Engineering from Beijing University of Posts and Te4lecommunications, Beijing, China, in 2015. He joined the Beijing University of Technology in 2016 and now is an associate professor. From August 2013 to August 2014, he had been funded by China Scholarship Council to visit Carleton University, Ottawa, ON, Canada, as a joint doctorate. Moreover, he is the visiting scholars of University of Technology Sydney, Commonwealth Scientific and Industrial Research Organization, Hong Kong Polytechnic University, Kyoto University, Muroran Institute of Technology, and Queen Mary University of London. Dr. Fang is the senior member of IEEE, and the vice chair of technical affairs committee in IEEE ComSoc Asia/Pacific Region (2022-2023). Moreover, he served as the Technical Program Committee Chair of SPCNC 2024, the Session Chairs of ICC 2015, ICCC 2023, and WCNC 2024, Workshop Chairs of ICFEICT (2022-2024) and ICNCIC (2023-2024), and Poster Co-Chair of HotICN 2018. He won the Best Paper Award of IEEE ICFEICT 2022 and 2024, ICCSN 2024, and NCIC 2024. His current research interests include intelligent analysis and control, and intelligent cloud-edge-terminal cooperation computing.

Gang Yang, associate professor from Information Support Force Engineering University, serve a Committee Member of the Intelligent Evaluation Professional Committee at the Chinese Institute of Command and Control. He also works as a reviewer or PC member for prestigious conferences and journals, including TIP, ICASSP, and CogSci (all ranked CCF-A/B). His research portfolio includes leading 3 projects and contributing to 15 others, such as the National Key R&D Program of China. He has authored over 30 academic papers and holds 13 patents and software copyrights.

Chunlei Xia received his Ph.D. in the Department of Electronics and Electrical Engineering from Pusan National University in 2012. He then served as a Senior Researcher at the SPENALO Robot Center, PNU, before joining the Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (CAS) in 2013. His research interests include marine monitoring technology, underwater optical imaging, intelligent ocean-observation instruments, and marine organism imaging and recognition systems. He has undertaken more than ten national-level research projects, including grants from the National Key R&D Program of China, the National Natural Science Foundation of China (NSFC), and talent programs of CAS. He has published over 40 papers, obtained 6 patents, and served as Guest Editor and reviewer for several SCI-indexed journals.