Welcome

Welcome divider

2022 5th International Conference on Computing and Big Data(ICCBD 2022)

Invited Speakers 邀请报告


ICCBD 2022 Invited Speakers

Prof. Mohan Lal Kolhe, University of Agder, Norway

Dr. Prof. Dr. Mohan Lal Kolhe is a full professor in smart grid and renewable energy at the Faculty of Engineering and Science of the University of Agder (Norway). He is a leading renewable energy technologist with three decades of academic experience at the international level and previously held academic positions at the world's prestigious universities, e.g., University College London (UK / Australia), University of Dundee (UK); University of Jyvaskyla (Finland); Hydrogen Research Institute, QC (Canada); etc. In addition, he was a member of the Government of South Australia’s first Renewable Energy Board (2009-2011) and worked on developing renewable energy policies. Due to his enormous academic contributions to sustainable energy systems, he has been offered the posts of Vice-Chancellor of Homi Bhabha State University Mumbai (Cluster University of Maharashtra Government, India), full professorship(s) / chair(s) in 'sustainable engineering technologies/systems' and 'smart grid' from the Teesside University (UK) and Norwegian University of Science and Technology (NTNU) respectively.
Professor Kolhe is an expert evaluator of many prestigious international research councils (e.g., European Commission: Erasmus+ Higher Education – International Capacity Building, Royal Society London (UK), Engineering and Physical Sciences Research Council (EPSRC UK), etc.). In addition, many international organizations have invited him to deliver keynote addresses, expert lectures, workshops, etc. He has also been a member of many academic promotional committees.
Professor Kolhe has successfully won competitive research funding from the prestigious research councils (e.g., Norwegian Research Council, EU, EPSRC, BBSRC, NRP, etc.) for his work on sustainable energy systems. His research works in energy systems have been recognized within the top 2% of scientists globally by Stanford University’s 2020, 2021 matrices. He is an internationally recognized pioneer in his field, whose top 10 published works have an average of over 175 citations each.

 

 

Assoc. Prof. Wei Wang, Xi'an Jiaotong-Liverpool University, China

 

Dr. Wei Wang is an associate professor at the Department of Computing, School of Advanced Technology, Xi’an Jiaotong-Liverpool University, China. He received his PhD in Computer Science from the University of Nottingham in 2009. He then worked as a lecturer at the University of Nottingham (Malaysia Campus) and later a post-doctoral research fellow at the Centre for Communication Systems Research (now known as the Institute for Communication Systems) at the University of Surrey, UK. His research interests lie in the broad area of data and knowledge engineering; in particular, knowledge discovery from textual data, social media data and smart city data, semantic search, and deep learning for data processing. He has published more than 60 papers in reputed journals and conferences in the areas of Internet of Things and knowledge discovery.

 

Title: Learning from Smart City Data (Click here for Abstract)

 

Assoc. Prof. Junliang Wang, Donghua University, China

 

Dr. Junliang Wang is an associate professor at Institute of Artificial Intelligence, Donghua University (DHU). He is the deputy director of textile Industry Production Big Data Research Center of CTES, the deputy secretary general of the Industrial Big Data and Intelligent Systems Chapter of CMES, the committee member of Intelligent Simulation Optimization and Scheduling Chapter of CSF, the committee member of the Digital Twin Chapter of CGS. His research interests mostly lie in the big data and intelligent manufacturing fields, by leveraging cutting-edge information technology and artificial intelligence techniques, to enable industries digital and intelligent transformation. He has continued to conduct in-depth research in the field of industrial big data analytics and has been funded by the Young Elite Scientists Sponsorship Program by CAST, the Natural Science Foundation of China, the Shanghai Sailing Program, the Shanghai Science and Technology Project and the Shanghai Chenguang Program. After receiving basic research fund, he has published more than 40 journal papers, authorized 11 Chinese patents and 11 software copyright. He has won two awards from provincial and ministerial science and technology progress and the Pearl award of the 4th China artificial intelligence and robot developers conference.

 

Assoc. Prof. Sook-Ling (Linda) Chua, Multimedia University, Malaysia

 

Sook-Ling (Linda) Chua received her PhD in computer science from Massey University, New Zealand. She is currently an associate professor in the Faculty of Computing and Informatics at Multimedia University, Malaysia. Her main research interest is in machine learning, particularly to address problems in sensor-based activity recognition. While still working in this area, her other research interests include learning from imbalanced data, application of information-theoretic approaches to feature selection, probabilistic modelling and data analytics. She has secured various grants as principal investigator and published in various reputable journals and conferences.

 

 

Assoc. Prof. Wendy Hui, Lingnan University, China

 

Wendy Wan Yee HUI holds a B.E. (Hons) in Electrical and Electronics Engineering from University of Canterbury, New Zealand, a Master of Business Administration from Chinese University of Hong Kong, and a PhD in Information Systems from the Hong Kong University of Science and Technology. Since graduation from her PhD, she has worked in various universities in Abu Dhabi, Ningbo, Perth, Hong Kong and Singapore. She is currently an Associate Professor in Infocomm Technology at Singapore Institute of Technology. She is also an Adjunct Associate Professor at Lingnan University, Hong Kong, and Asian Institute of Management, Philippines. Her current research interests include research methods, economics of information security, e-learning, and applied analytics. Her research work has appeared in top Information Systems journals including Journal of Management Information Systems and Decision Support Systems. Wendy has over 15 years' experience teaching various subjects in information systems including information security, business analytics, database design, human-computer interaction, IT ethics, and e-commerce. To promote knowledge transfer, she has led various applied research projects to encourage innovation in the social and business sectors. Some of these projects include algorithmic trading, social media analytics, and the use of AI robots in security, elderly care, and teaching and learning.