Speakers

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Prof. Yurong Qian

Xinjiang University, China

YurongQian, Ph.D., is currently the Dean and a Professor at the School of Software, Xinjiang University, and a member of the China Computer Federation (CCF). She completed her undergraduate studies at the College of Information Science and Engineering, Xinjiang University, from 1998 to 2002, earning a Bachelor of Engineering. She continued her graduate studies at the same institution from 2002 to 2005, obtaining a Master of Engineering. Later, she earned a Doctor of Science degree from the School of Life Sciences at Nanjing University between 2007 and 2010.Since 2010, she has been a faculty member at the School of Software, Xinjiang University, with a long-standing research focus on remote sensing image processing, artificial intelligence, and cloud computing. She has presided over multiple research projects funded by the National Natural Science Foundation of China as well as provincial and ministerial-level programs, covering areas such as hyperspectral remote sensing data processing, green computing, and in-memory computing. In 2022, the Virtual Teaching and Research Office she led, focusing on the "Research on the Talent Cultivation Model for Ethnic Database Professionals in Border Regions Oriented towards the Information Technology Application Innovation (Xinchuang) Industry," was selected as a pilot for the second batch of Virtual Teaching and Research Office construction by the Ministry of Education.


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Prof. Pan Gao

Shihezi University, China

Prof. Pan Gao, Ph.D., is a Professor and Doctoral Supervisor, currently serving as the Vice Dean of the School of Information Science and Technology at Shihezi University. He is recognized as a National Teaching Master of Ideological and Political Education in Courses, an Outstanding Teacher by the Baosteel Education Foundation, and a Leading Young and Middle-aged Sci-Tech Talent of the Xinjiang Production and Construction Corps (XPCC).


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Prof. Taihong Zhang

Xinjiang Agricultural University, China

Zhang Taohong, Ph.D., Professor, Doctoral Supervisor, is currently the dean of the College of Computer and Information Engineering; a member of the Xinjiang Expert Advisory Committee for Education Informatization Technology; and a member and executive director of the Xinjiang "IT Three Associations". In 2020, he was awarded the title of "Twelfth Teaching Master of the Autonomous Region Higher Education Institutions".

He has taught over ten courses for undergraduate and postgraduate students, including "Modern Agricultural Engineering and Its Innovative Methods" and "Artificial Intelligence", and has won two "Autonomous Region Teaching Achievement Awards". He is dedicated to research in agricultural informatization technology and the field of artificial intelligence. He has led and participated in more than 30 scientific research projects at the national and autonomous regional levels, including science and technology support plans, science and technology breakthrough projects, and natural science funds. He has obtained 15 computer software copyrights, published over 80 academic papers, co-authored one monograph, and edited two textbooks. Her research achievements have won two second prizes and one third prize of the Autonomous Region Science and Technology Progress Awards.



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Prof. Danilo Pelusi

University of Teramo, Italy

Danilo Pelusi received the degree in Physics from the University of Bologna, Italy, and the Ph.D. degree in Computational Astrophysics from the University of Teramo, Italy. Currently, he is a Professor of Computer Science at the Department of Communication Sciences, University of Teramo. Editor of Springer, Elsevier and CRS books, and Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence (2017-2020), IEEE Access (2018-2026), IEEE Transactions on Neural Networks and Learning Systems (2022-2025), IEEE Transactions on Intelligent Transportation Systems (2022-present) and IEEE Transactions on Fuzzy Systems (2024-present) he is Guest Editor for IEEE, Elsevier and Springer journals. Keynote speaker, Guest of Honor and Chair of IEEE conferences, he is inventor of international patents on Artificial Intelligence. World’s 2% Top Scientist (2021-2024) and Top 0.5% 2024 ScholarGPS rankings, his research interests include Fuzzy Logic, Neural Networks, Information Theory, Machine Learning and Evolutionary Algorithms.


Speech Title: Sparse Evolutionary Federated Learning: A Multi-Objective Swarm Optimization Approach