Area of Interest

Keynote & Plenary Speakers

Prof. WANG Jun, City University of Hong Kong, Hong Kong


Speech Title: Collaborative Neurodynamic Optimization Approaches to Distributed, Global and Multiple-objective Optimization (Abstract)

Biography:  Jun Wang is a Chair Professor of Computational Intelligence in the Department of Computer Science at City University of Hong Kong. Prior to this position, he held various academic positions at Dalian University of Technology, Case Western Reserve University, University of North Dakota, and Chinese University of Hong Kong. He also held various part-time visiting positions at US Air Force Armstrong Laboratory, RIKEN Brain Science Institute, Huazhong University of Science and Technology, Dalian University of Technology, and Shanghai Jiao Tong University as a Changjiang Chair Professor. He received a B.S. degree in electrical engineering and an M.S. degree in systems engineering from Dalian University of Technology, Dalian, China. He received his Ph.D. degree in systems engineering from Case Western Reserve University, Cleveland, Ohio, USA. His current research interests include neural networks and their applications. He published about 200 journal papers, 15 book chapters, 11 edited books, and numerous conference papers in these areas. He is the Editor-in-Chief of the IEEE Transactions on Cybernetics. He also served as an Associate Editor of the IEEE Transactions on Neural Networks (1999-2009), IEEE Transactions on Cybernetics and its predecessor (2003-2013), and IEEE Transactions on Systems, Man, and Cybernetics – Part C (2002–2005), as a member of the editorial advisory board of International Journal of Neural Systems (2006-2013), and a member of the editorial board of Neural Networks (2012-2014) as a guest editor of special issues of European Journal of Operational Research (1996), International Journal of Neural Systems (2007), Neurocomputing (2008, 2014, 2016), and International Journal of Fuzzy Systems (2010, 2011). He was an organizer of several international conferences such as the General Chair of the 13th International Conference on Neural Information Processing (2006) and the 2008 IEEE World Congress on Computational Intelligence, and a Program Chair of the IEEE International Conference on Systems, Man, and Cybernetics (2012). He has been an IEEE Computational Intelligence Society Distinguished Lecturer (2010-2012, 2014-2016). In addition, he served as President of Asia Pacific Neural Network Assembly (APNNA) in 2006 and many organizations such as IEEE Fellow Committee (2011-2012); IEEE Computational Intelligence Society Awards Committee (2008, 2012, 2014), IEEE Systems, Man, and Cybernetics Society Board of Directors (2013-2015), He is an IEEE Fellow, IAPR Fellow, and a recipient of an IEEE Transactions on Neural Networks Outstanding Paper Award and APNNA Outstanding Achievement Award in 2011, Natural Science Awards from Shanghai Municipal Government (2009) and Ministry of Education of China (2011), and Neural Networks Pioneer Award from IEEE Computational Intelligence Society (2014), among others.

Prof. Dr. Andreas Pester, Carinthia University of Applied Sciences (CUAS), Austria

Speech Title: Distributed Experiment Systems and Distributed Learning(Abstract)

Biography:  Professor Dr. Andreas Pester holds a diploma in Mathematics of Odessa State University and has got his PhD from Kiev State University. He habilitated at the University of Technology Dresden. Currently he holds a position as senior researcher at Carinthia University of Applied Sciences, Villach and leads the research group “Online and pocket labs”. He has more than 20 years experience in eLearning and online laboratories. In the last 5 years his research interests switched to deep learning, implemented in online distributed computing systems.

He has more than 20 years’ experience in teaching math and mathematical modelling, simulation technologies, remote engineering, online lab, machine learning and more than 16 years experience in project-based learning with undergraduate and graduate students.

More than 15 years he was included and leading development, implementation and evaluation of curricula in higher education on undergraduate and graduate level (including international master programs) A. Pester was invited as a Guest Professor at the UPC Barcelona, Technical University of Kharkov and Kiev, University Maribor, UNESP Bauru (Brazil), University of Applied Sciences Vienna, Armenian-American University Yerevan, PUC Rio de Janeiro. He was involved in more than 12 EU- and national projects in eLearning and remote experimentation (as project leader or as researcher)

Prof. Tasos Dagiuklasis, London South Bank University, UK

(Head of Computer Science and Informatics)

Speech Title: Technology Enablers for 5G Networks (Abstract)

Biography:  Prof. Tasos Dagiuklasis a leading researcher and expert in the fields of Internet and multimedia technologies for smart cities, ambient assisted living, healthcare, and smart agriculture. He is the leader of the newly established SuITE (Smart Internet Technologies) research group at LSBU, where he also acts as the Head of Division in Computer Science.

Tasos received his Engineering Degree from the University of Patras, Greece, in 1989. He completed an MSc at the University of Manchester in 1991 and a PhD at the University of Essex-UK in 1995, all in Electrical Engineering. He has been a principal investigator, co-investigator, project and technical manager, coordinator and focal person of more than 20 internationally research and development and capacity training projects. with total funding of approximately £5m from different international organisations.

His research interests include open-based networking (software-defined network, network function virtualisation), FTV, 3DV, media optimisation across heterogeneous networks, quality of experience, virtual reality/augmented teality technologies and Cloud infrastructures and services. He has published more than 150 papers in these fields. His research has received more than 1150 citations by researchers (Google Scholar).

He has served as Vice-Chair for the Institute of Electrical and Electronics Engineers (IEEE) Multimedia Communications Technical Committee (MMTC) Quality of Experience Working Group, and as Key Member for IEEE MMTC MSIG and 3DRPC WGs.

Prof. Solom (Abdelsalam) Heddaya, Partner Architect, Big Data Infrastructure at Microsoft, Greater Seattle Area, USA

Speech Title: Hyper-concentration of Data and Computation in the Cloud: Technical, Economic and Social Aspects (Abstract)

Biography:  Prof. Solom Heddaya has been a professor, entrepreneur, engineering manager and architect of computer systems. As a professor of Computer Science for nearly a decade at Boston University, he worked on log-structured replicated file systems, on distributed shared memory for parallel computing, and on Internet-scale caching. The latter project spun-off InfoLibria, Inc., of which he was co-founder and Chief Technology Officer. InfoLibria was the premier developer of distributed system appliances, that backbone ISPs deployed to deliver “rich web apps” with high quality and low cost, from the Internet’s edge. Solom joined Microsoft at Partner level fifteen years ago. He spent half that time improving all aspects of Windows reliability, by enhancing failure measurement, detection, diagnosis, tolerance, recovery and repair. In the second half, he alternately managed, or was architect for, Cosmos, an internal big data system that combines hundreds of thousands of servers to store many exabytes of data, and to power the analytics that underly all of Microsoft’s largest online services (Azure, Bing, Office, Skype, Windows, XBox, etc.).

Solom’s academic work was funded by NSF grants, and his entrepreneurial work by significant venture capital from the likes of Microsoft and Nortel. The results were recognized by numerous industry and internal Microsoft awards. Solom is a co-inventor of over a dozen patents in various areas of computer systems. Recent publications he co-authored include Hydra in USENIX NSDI 2019.

Solom holds a B.Sc. (First Class Honors) in Computer Engineering & Automatic Control from Alexandria University and a Ph.D. In Computer Science from Harvard University.

Prof. Magne Jørgensen, Simula Research Laboratory, Norway 

Speech Title: What can - and should - Software Engineering Learn from Psychology? (Abstract)

Biography: Magne Jørgensen received the Diplom Ingeneur degree in Wirtschaftswissenschaften from the University of Karlsruhe, Germany, in 1988 and the Dr. Scient. degree in informatics from the University of Oslo, Norway, in 1994. He is a professor of software engineering at the University of Oslo and a member of the software engineering research group at the Simula Research Laboratory. He has 10 years industry experience as a consultant and manager. His research interests include software estimation, uncertainty assessments in software projects, expert judgment processes, and learning from experience.

Magne Jørgensen works as a researcher at Simula Research Laboratory and a professor at the University of Oslo. Previously, he worked with software development, estimation, and process improvement in the telecom and insurance industry. He is one of the founders of evidence-based software engineering and teaches this to students and software professionals.

His current main research interest is effort estimation, bidding processes, outsourcing, and software development skill assessments.

Dr. David Daqing Chen, London South Bank University, UK 

Speech Title: Deep Learning and Lip Reading Systems Development (Abstract)

Biography: Dr Daqing Chen's main professional expertise and research interests are in the areas of business intelligence, data mining, intelligent information processing, and SAS system.

Dr Chen joined the University in July 1999. Prior to this, Daqing worked as a Research Fellow in the System, Electronics and Information Laboratory, IRESTE, University of Nantes, Nantes, France (June 1998 - July 1999), a Research Associate in the Department of Computer Science and Engineering, The Chinese University of Hong Kong (December 1997 – June 1998), and as a Post-doctoral Researcher and then an Associate Professor at the National Key Laboratory of Radar Signal Processing, Xidian University, Xian, China (February 1994 – November 1997).

Dr Chen is currently the Pathway Leader for BSc and HND Business Intelligence. He is also the leader of the Public Analytics research group.

Prof. Naoko Fukami, Director of Research Station, Cairo, Japan Society for the Promotion of Science Promotion Society (JSPS)

Speech Title: JSPS Program and Islamic Geometry of Muqarnas through the history of Islamic Architecture (Abstract)

Biography: Naoko Fukami is a Director of Research Station, Cairo, Japan Society for the Promotion of Science Promotion Society (JSPS) since 2015. She makes a project of Revitalization and Sustainability of Communities in Historic Cairo, supported by TOYOTA Fund from 2016 to 2018. She obtained her M.Sc from Tokyo Metropolitan University in 1981 about Islamic Architecture in Daccan from the 14th to 17th century, and Ph.D from Yokohama National University in 1998 about Muqarnas, its origin and development. She was a Visiting Professor Institute of Oriental Culture from 1999 to 2001, University of Tokyo, making the Digital Archive: by the Mission for Indian History and Archaeology, University of Tokyo in 1959-1962. She was a Professor, Organization for Islamic Area Studies, Waseda University from 2012 to 2014, she joined the project of Islam and Multiculturalism. Her books are NHK Project of Asian Historical Cities, Recollected Isfahan, “Isfahan-The Dream of Oasis”, pp169-199, NHK Publication, 2002, “The World of Islamic Architecture”, Kodansha Genndai-Shinsho, 2005 “World history in Islamic Architecture”, Iwanami Shoten, 2013, etc.