Prof. Hui-Yu Zhou, University of Leicester, UK

Prof. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom, supervised by Professors Patrick Green (Psychology) and Andrew Wallace (Computer Engineering).Prof. Zhou heads the Applied Algorithms and AI (AAAI) Theme and leads the Biomedical Image Processing Lab (BIPL) at University of Leicester. He was Director of MSc Programme (2018-2019) and Coordinator of MSc Distance Learning at Informatics (2018-2022), and is PGR Director and Deputy Director of Research Centre for Artificial Intelligence, Data Analytics and Modelling (AIDAM). Prior to this appointment, he worked as Reader (2018-2020) at University of Leicester, and Lecturer (2012-2017) at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast (QUB). He was a visiting scholar of QUB during 2018-2020.

Research Area: Prof. Zhou's research specialisation includes machine learning, computer vision, intelligent systems and signal processing. His research interest has focused on the development of AI/machine learning algorithms that enable a system to better understand and interpret images/signals.

Speech title: When Parkinson’s disease meets artificial intelligence.

Prof. Anu Gokhale, Saint Augustine’s University, USA

Dr. Anu Gokhale serves as Professor and Chair of the Department of Computer Information Systems at Saint Augustine’s University. She has been selected as a 2023-24 Convergence Fellow by the Association of American Colleges & Universities and was a Fellow with the Center for Advancement of STEM Leadership, 2022-23. Formerly, she served as a Distinguished Professor and Coordinator of the Computer Systems Technology program at Illinois State University. Gokhale has completed thirty years as faculty and has received several College and University research, teaching and service awards. Having earned certifications in online delivery, she was recruited to mentor colleagues in online teaching beginning March 2020. Gokhale is honored with four prestigious Fulbright awards: Specialist in Data Analytics in Healthcare, Egypt, 2022; Specialist in Cybersecurity, India, 2017; Distinguished Chair in STEM+C, Brazil, 2016; and Scholar in Computer Engineering, India, 2003. She was a Visiting Professor in the College of Business at Shandong University in China in spring 2017 and a Faculty Fellow in Israel in summer 2017. She leads research teams in the U.S., and internationally in India, China, and Brazil. Her achievements encompass extensively cited refereed publications; groundbreaking externally funded research supported by a continuous 20-year stream of grants from state and federal agencies including the National Science Foundation; and elevation of the student experience through excellence in teaching, mentorship, and the creation of opportunities for students to get involved in research. Originally from India, she a bachelor’s from University of Mumbai, India; master’s in physics‒electronics from The College of William & Mary, and a doctorate from Iowa State University, USA. Dr. Gokhale authored a second edition of her book Introduction to Telecommunications, which has an international edition in Chinese. As an active volunteer in IEEE, she has served as MGA representative to the Educational Activities Board, Women in Engineering Coordinator, and R4 Educational Activities Chair. She was honored with the IEEE Third Millennium Medal and 2019 Region 4 Outstanding Professional Award. She consults for healthcare facilities to increase access and productivity while responsibly leveraging Artificial Intelligence (AI) systems. Dr. Gokhale continues to be an invited keynote speaker at various international conferences and has visited over 25 countries. She has delivered multiple workshops on hybrid teaching & learning, STEM public policy, as well as on AI applications across a range of sectors in the healthcare industry.

Research Area: Algorithms and Data Analytics

Speech title: AI: Algorithm Design and Applications

Prof. Yajun Liu, South China University of Technology, China

Prof. Yajun Liu is currently a professor at the School of Mechanical and Automotive Engineering at South China University of Technology.

From December 2009 to December 2010, Prof. Liu was a visiting professor at the Fluid Dynamics Research Center (FPRC) at Purdue University in the United States.

From February 2005 to July 2016, Prof. Liu worked as a postdoctoral researcher at Tokheim Joint Venture in China.

Prof. Liu obtained a PhD in Mechanical Engineering from South China University of Technology, Guangzhou, China in June 2002.

His main research direction includes digital signal processing technology and its application in mechanical systems (such as energy-saving in hydraulic systems), Intelligent Control, and Manufacturing Engineering. Additionally, Professor Liu has published over 250 papers in international conference journals and collections of papers, as well as more than 40 patents for mechanical system design and manufacturing.

Research Area: Digital signal processing technology and its application in mechanical systems (such as energy-saving in hydraulic systems); Intelligent control and manufacturing engineering, etc.

Prof. Ata Jahangir Moshayedi, Jiangxi University of science and Technology, China

Dr. Ata Jahangir Moshayedi is an Associate Professor at Jiangxi University of Science and Technology in China, holding a Ph.D. in Electronics-Robotics from Savitribai Phule University, Pune, India. He is a distinguished member of IEEE as a Senior Member and ACM, alongside being a Life Member of both the Instrument Society of India and the Speed Society of India.His contributions extend beyond academia, as he actively participates in various IEEE conferences, serving in roles such as Keynote chair, reviewer, and editorial team member for conferences and various international journals.

Dr. Moshayedi's scientific achievements are substantial, with over 90 articles published in prestigious national and international journals. Alongside his research publications, he has authored three books and holds two patents and 12 copyrights, showcasing his pioneering contributions. Notably, his latest book, "Unity in Embedded System Design and Robotics: A Step-by-Step Guide," published by CRC, is recognized as the first book to integrate VR, robotics, and embedded systems.

Research Area: Including robotics and automation, sensor modeling, bio-inspired robots, mobile robot olfaction, column tracking, embedded systems, machine vision, virtual reality, and artificial intelligence.

Speech title: From Equations to Odor Recognition: Navigating the Complexities of Gas Sensor Modeling for Cutting-edge Electronic Nose Designs.

Prof. Nianyin Zeng, Xiamen University, China

Nianyin Zeng is currently a Professor in the Department of Instrumental and Electrical Engineering at Xiamen University. From September 2017 to August 2018, he held the prestigious position of ISEF Fellow sponsored by the Korea Foundation for Advanced Studies, while also serving as a Visiting Professor at the esteemed Korea Advanced Institute of Science and Technology (KAIST). 

Dr. Zeng currently holds or has held the position of Associate Editor for Neurocomputing Frontiers in Medical Technology and Evolutionary Intelligence, as well as serving on the Editorial Board for Computers in Biology and Medicine, Biomedical Engineering Online, Mathematical Problems in Engineering, Journal of Electronics & Information Technology, and Journal of Image and Graphics. Additionally, he has acted as a Guest Editor for Frontiers in Neuroscience and Frontiers in Medical Technology. Furthermore, he has served as a program committee member for several prestigious international conferences focused on intelligent data analysis such as EAI ICMTEL, ACAIT, ICCSE. 

He has authored over 100 research papers in reputable journals and conferences as well as obtained 18 patents. According to Google Scholar, his publications have been cited more than 10,000 times with an H-Index of 42. Dr. Zeng's exceptional contributions led to his selection as a "Highly Cited Researcher for the year 2023".

Research Area: His current research interests encompass intelligent data analysis, machine learning, computer vision, computational intelligence, system modeling, and their applications. 

Speech title: Handling Dynamic Behaviors in Environments via the Evolutionary Transfer Optimization Technique.