Conference Speakers

Prof. Okyay Kaynak (IEEE Fellow)
UNESCO Chair on Mechatronics, Bogazici University, Turkey

Biography: Okyay Kaynak received the B.Sc. degree with first class honors and Ph.D. degrees in electronic and electrical engineering from the University of Birmingham, UK, in 1969 and 1972 respectively.
From 1972 to 1979, he held various positions within the industry. In 1979, he joined the Department of Electrical and Electronics Engineering, Bogazici University, Istanbul, Turkey, where he is currently a Professor Emeritus, holding the UNESCO Chair on Mechatronics. He is also a 1000 People Plan Professor at University of Science & Technology Beijing, China. He has hold long-term (near to or more than a year) Visiting Professor/Scholar positions at various institutions in Japan, Germany, U.S., Singapore and China. His current research interests are in the broad field of intelligent systems. He has authored three books, edited five and authored or co-authored more than 400 papers that have appeared in various journals and conference proceedings.
Dr. Kaynak has served as the Editor in Chief of IEEE Trans. on Industrial Informatics and IEEE/ASME Trans. on Mechatronics as well as Co-Editor in Chief of IEEE Trans. on Industrial Electronics. Additionally, he is on the Editorial or Advisory Boards of a number of scholarly journals. He recently received the Chinese Government’s Friendship Award and Humboldt Research Prize (both in 2016).
Dr. Kaynak is active in international organizations, has served on many committees of IEEE and was the president of IEEE Industrial Electronics Society during 2002-2003. He was elevated to IEEE fellow status in 2003.

Speech Title: Digital Transformation
Abstract: This presentation discusses the profound technological changes that have taken place around us during the last two decades, supported by the new disruptive advances both on the software and the hardware sides, as well as the cross-fertilization of concepts and the amalgamation of information, communication and control technology driven approaches. In recent years, in an attempt to change the whole format of industrial automation, these developments have been taken further, especially in Germany, under the label “Industry 4.0”. The dominant feature of Industry 4.0 is the integration of the virtual world with the physical world through the Internet of Things (IoT). Such engineered systems are named Cyber Physical Systems built from, and depends upon, the seamless integration of computational algorithms and physical components. A more comprehensive description of what is happening around us is the digital transformation. After reviewing these profound changes, the presentation is concluded with a discussion of the integration of AI in digital transformation, in the form of smart manufacturing.

Prof. Ian McAndrew
Capitol Technology University, USA

Biography: Prof. Ian R. McAndrew PhD is a mechanical engineer that has worked in education for over 28 years. His teaching and research has been globally, starting in London and now with Embry Riddle Aeronautical University. He has taught in over 20 countries and published with many academics from all over the world. He has 5 degrees, also a qualified Electrical engineer and FRAeS. He has supervised over 30 PhDs and has 55 peer reviewed publications. His current research is in aerodynamics and low speed flight. He is a keen supporter of conferences as this is where junior researchers can develop their skills for a life in research. He is frequently invited to deliver Keynote speeches and is the Chair of several International Conferences. Additionally, he is the editor or assistant editor in chief of several International Journals.

Speech Title: AI in the manufacturing of Commercial Aircraft and its implications for success and limitations
Abstract: Aviation manufacturing for commercial aircraft is undergoing a comprehensive shift in quality, use and application. This presentation presents the findings and shared results for several research topics of AI. The limitation and potential advancements possible are presented, as are the lessons learned that must be core to all future systems. Furthermore, a comparison is made to emerging technologies and concerns that make require a complete rethinking of aviation logic.

 

Assoc. Prof. Hao Luo
Harbin Institute of Technology, China

Biography: Prof. Dr.-Ing. Hao Luo received his B.E. degree in electrical engineering from Xi’An Jiaotong University, China, in 2007, M.Sc. degree in electrical engineering and information technology from University of Duisburg-Essen, Germany, in 2012, and the Ph.D. degree at the Institute for Automatic Control and Complex Systems (AKS) at the University of Duisburg-Essen, Germany, in 2016. He is currently an associate professor in School of Astronautics, Harbin Institute of Technology, China. His research interests include model-based and data-driven intelligent process monitoring and performance optimization, as well as their plug-and-play applications to industrial control systems. He currently serves as Associate Editor of IEEE Trans. on Artificial Intelligence and IEEE Access, as well as Guest Editor of IEEE Trans. on Industrial Informatics.

 

Prof. Amir H. Gandomi
University of Technology Sydney, Australia

Biography: Amir H. Gandomi is a Professor of Data Science at the Faculty of Engineering & Information Technology, University of Technology Sydney. Prior to joining UTS, Prof. Gandomi was an Assistant Professor at the School of Business, Stevens Institute of Technology, USA and a distinguished research fellow in BEACON center, Michigan State University, USA. Prof. Gandomi has published over one hundred and seventy journal papers and seven books which collectively have been cited more than 15,000 times (H-index = 57). He has been named as one of the most influential scientific mind and Highly Cited Researcher (top 1%) for three consecutive years, 2017 to 2019. He also ranked 18th in GP bibliography among more than 12,000 researchers. He has served as associate editor, editor and guest editor in several prestigious journals such as AE of SWEVO, IEEE TBD, IEEE IoTJ. Prof Gandomi is active in delivering keynote and invited talks. His research interests are global optimisation and (big) data mining using machine learning and evolutionary computations in particular.

Speech Title: Evolutionary Computation for Modelling of Mechanical and Aerospace Systems

 

Assoc. Prof. Jens Kober
Delft University of Technology (TU Delft), The Netherlands

Jens Kober is an associate professor at the TU Delft, Netherlands. He worked as a postdoctoral scholar jointly at the CoR-Lab, Bielefeld University, Germany and at the Honda Research Institute Europe, Germany. He graduated in 2012 with a PhD Degree in Engineering from TU Darmstadt and the MPI for Intelligent Systems. For his research he received the annually awarded Georges Giralt PhD Award for the best PhD thesis in robotics in Europe, the 2018 IEEE RAS Early Academic Career Award, and has received an ERC Starting grant. His research interests include motor skill learning, (deep) reinforcement learning, imitation learning, interactive learning, and machine learning for control.

 

 

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