
Prof. Zilong Zhao
Beihang University, China
Bio: Zi-Long Zhao obtained his doctoral degree in 2016 from Tsinghua University (China). Since 2021, he has been a full Professor at Beihang University (China). He is elected as an overseas high-level young talent of China (2020), an ARC DECRA fellow (2019), an innovative and entrepreneurial talent of Jiangsu Province (2024), a VEBLEO fellow (2025), and a young top talent of Beihang University (2022). He is an expert of the Chinese Ministry of Education, the National Natural Science Foundation of China, the Australian Research Council, and the Jiangsu Association of Science and Technology. He is an editorial advisory board member of Engineering Fracture Mechanics. His research interests include solid mechanics, biomechanics, structural topology optimization, and aircraft design. By 2025, he has published more than 60 papers in internationally prestigious SCI journals. He is the general chair of multiple international conferences such as ICoACE 2024, AITCE 2025, ICAMME 2025, AEME 2026, and ISCNA 2026.

Prof. Dr. Mohammed Anayet Ullah Patwari
Islamic University of Technology, Bangladesh
Bio: Prof. Dr. Mohammed Anayet Ullah Patwari received his Bachelor of Science in Mechanical Engineering from Bangladesh University of Engineering and Technology (BUET), his Master of Science in Production Systems Engineering from Toyohashi University of Technology, Japan, and his PhD in Manufacturing Engineering from the International Islamic University of Malaysia (IIUM). He joined the Islamic University of Technology (IUT), an organ of the Organisation of Islamic Cooperation (OIC), as a faculty member in 2001 and has been serving there for over 24 years. He is currently a Professor in the Department of Mechanical and Production Engineering, and Dean of the Faculty of Engineering & Technology (FET) at IUT. Professor Patwari leads a research team focusing on smart machining processes, chatter detection and suppression, health monitoring of machinery, and the application of artificial intelligence (genetic algorithms and fuzzy-neural networks) in manufacturing. He has published more than 250 papers and received multiple best paper awards, patents, and gold/silver medals for his innovative research.