Program

Part 1: Naples, Italy (20 - 23 May 2025)

Date	Time	Contents
May 20	All-day	Opening Ceremony
May 21	All-day	Oral Presentations
May 22	All-day	Oral Presentations
May 23	AM	Oral Presentations
	PM	Closing Ceremony + Best Paper Awards

Click here to download the detailed arrangement of keynotes and oral presentations

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Travel Day (May 24, 2025)

Date	Time	Contents
May 24	All-day	From Naples to Dubai (individual travel arrangements)

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Part 2: Dubai, UAE (25 - 27 May 2025)

Date	Time	Contents
May 25	AM	Conference Registration in Dubai
	PM	Opening Ceremony + Keynote Address
May 26	All-day	Oral Presentations
May 27	AM	Special Session
	PM	Closing Ceremony

The detailed conference agenda will be updated prior to the event.

Keynote

Neural Dynamics Optimization and Its Applications

Recently, neurodynamic optimization has shown excellent ability in solving complex optimization problems with its superior convergence properties. This has led to the widespread attention and in-depth study of neurodynamic optimization methods in many practical applications, especially in the fields of unmanned systems and circuit systems.

In this report, we focus on our work in neurodynamic optimization in recent years, with emphasis on demonstrating algorithmic innovations for solving optimization problems via neurodynamic systems. In addition, we also discuss the application of neurodynamic systems in unmanned systems, especially in the obstacle avoidance and formation tasks in autonomous systems such as UAVs and unmanned ships, and how to improve the system's autonomous decision-making ability and execution efficiency through neurodynamic optimization.

Biography

Yang Liu received the B.S. degree in mathematics from Zhejiang Normal University, Zhejiang, China, in 2003, and the Ph.D. degree from Tongji University, Shanghai, in 2008. He is currently the dean of Hangzhou School of Automation and also a distinguished professor with School of Mathematical Sciences, Zhejiang Normal University.

His research interests include logical systems, hybrid systems and distributed optimization. He has authored over 100 publications and three books. He is an IET Fellow, and he is an Associate Editor of Neural Processing Letters (Springer), Alexandria Engineering Journal, and Journal of Control and Decision. He was recognized by Elsevier as a Most Cited Chinese Researcher in 2020–2024, and by Clarivate Analytics as a Highly Cited Researcher in 2019–2022.