Prof. David Doermann
University at Buffalo (UB), US
Biography: David Doermann (Fellow, IEEE) is a professor of empire innovation with the University at Buffalo (UB), Buffalo, NY, USA, and the Director of the University at Buffalo Artificial Intelligence Institute. Before coming to UB, he was a Program Manager with the Defense Advanced Research Projects Agency, where he developed, selected, and oversaw research and transition funding in computer vision, human language technologies, and voice analytics. From 1993 to 2018, he was a member of the research faculty at the University of Maryland, College Park, MD, USA. He has more than 250 publications in conferences and journals, is a Fellow of the IAPR, has numerous awards, including an honorary doctorate from the University of Oulu, Finland, and is a founding Editor-in-Chief of the International Journal on Document Analysis and Recognition.
Prof. Shaojiang Dong
Chongqing Jiaotong University, China
Biography: Dong Shaojiang, male, born in December 1982 in Zhaoyuan, Yantai, Shandong Province, is a postdoctoral, professor (Grade III), doctoral supervisor, and postdoctoral cooperative supervisor; Three hundred leading talents in scientific and technological innovation in Chongqing, the head of Chongqing innovation team, the backup candidate for Chongqing academic leader, and the winner of Chongqing outstanding doctoral dissertation; High level talents of Chongqing Jiaotong University; Person in charge of Chongqing Big Data and Artificial Intelligence Specialty, and person in charge of first-class mechanical and electronic engineering in Chongqing; Visiting scholar of Texas A&M University; Member of National College Testing Society, Senior Member of China Vibration Engineering Society, and Member of Military Engineering Society; He is a reviewer of the National Natural Science Foundation of China and an expert in the evaluation of major projects in Chongqing. He has been a peer reviewer of top journals in the industry at home and abroad for a long time.
Prof. Baochang Zhang
Beihang University, China
Biography: Baochang Zhang is a professor at Beihang University and an academic advisor of the Deep Learning Lab of Baidu Inc., Beijing, China. He received the B.S., M.S., and Ph.D. degrees in computer science from the Harbin Institute of Technology, Harbin, China, in 1999, 2001, and 2006, respectively. From 2006 to 2008, he was a Research Fellow with the Chinese University of Hong Kong, Hong Kong, and Griffith University, Brisbane, QLD, Australia. He was a Post-Doctoral Fellow with the Italy Institute of Technology, Genoa, Italy, from 2014 to 2015. His research interests include deep learning, pattern recognition, object recognition and tracking, and wavelets with about 200 high-quality papers published on top-tier journal/conference, such as IJCV, TPAMI, CVPR, NeurIPS, ICCV.
Assoc. Prof. Liping Tang
Southwest Petroleum University, China
Biography: Dr. Liping Tang is currently an associate professor in the School of Mechatronic Engineering at the Southwest Petroleum University (SWPU). He received his PhD in Mechanical Engineering from SWPU and worded as a post-doctoral research associate in the Petroleum Engineering School, SWPU. Prof. Tang worked as research assistant in the National University of Singapore and University of Aberdeen. His research interest focuses on mechanical design of drilling tools and mechanics of oil and gas exploitation.
Prof. Shaojian Zhang
Nanchang University, China
Biography: Prof. Dr. ZHANG Shaojian is from School of Advanced Manufacturing, Nanchang University, Nanchang, China. He graduated from Harbin Institute of Technology with Bachelor Degree in Mechanical Engineering in 2005 and obtained his MPhil Degree in Mechatronics Engineering from Harbin Institute of Technology in 2008 and his PhD in Ultra-precision Machining (UPM) technology from The Hong Kong Polytechnic University in 2012. He started his academic career as a Lecturer in 2013 and promoted to an Associate Professor in 2015 and a Professor in 2018. He is an active researcher focusing on UPM technology and its applications into advanced manufacturing fields. His research interests include robotized parallel UPM, dynamic characteristics of UPM and nanometric surface roughness measurement of UPM. He has published 10 papers as the first author in "International Journal of Machine Tools and Manufacture" with the ESI high citation, as well as obtained more than 10 patents. He has secured more than 10 external projects, covering the National Science and Technology Major Project, the National Natural Science Foundation etc. He is the Youth Expert Committee Member of Advanced Optical Manufacturing of the Chinese Society of Optical Engineering and the academic Editorial Board Members of some SCI journals such as "Shock and Vibration". He also academically serves in over 10 international SCI referred journals, involving "International Journal of Machine Tools and Manufacture", "Precision Engineering" etc.
Prof. ALAM MD MAHBUB
Harbin Institute of Technology (Shenzhen), China
Alam Md. Mahbub is a professor at Harbin Institute of Technology (China) since 2012. He worked as a senior lecturer at the University of Pretoria (South Africa), research and postdoctoral fellows at the Hong Kong Polytechnic University, and lecturer at the Rajshahi University of Engineering and Technology (Bangladesh). More than 380 technical articles are authored and co-authored, including 180+ SCI journal papers. Most of the papers have been published in top-notched journals, including Journal of Fluid Mechanics, Journal of Fluids & Structures, Ocean Engineering, Physics of Fluids, and Journal of Sustainable and Energy Reviews. His papers are well-cited, 5800+ (h-index 43) in WoS database and 8400+ (h-index 47) in the google database. He has been listed as a highly cited researcher for 2018-2021 (single year) by Web of Science, ranked top 2%. He is the author of two books. He has edited four special issues in ‘Wind and Structures, an International Journal’ and one in Energies. He has delivered 30 Keynote speeches at international conferences. His research has mostly involvedflow-induced vibrations, bluff-body wake, wind load on structures, fluid-structure interactions, hydrodynamics of swimming animals,and energy harvesting from wind and ocean current. Prof Alam has received a number of awards: Japan Government Scholarship (monbusho) for Masters and PhD studies; JSPS (Japan Society for Promotion of Science) Postdoctoral fellowship; South Africa National Research Foundation (NRF) rating ‘Promising Young Researcher, Y1’; China 1000-young-talent scholar; Shenzhen High-Level Overseas Talent; and 2015 Shenzhen Outstanding Teacher. He is an editorial board member of ‘Wind and Structures,an International Journal’.