Keynote Speakers

Prof. Chin-Chen Chang

Feng Chia University, Taiwan

Professor C.C. Chang obtained his Ph.D. degree in computer engineering from National Chiao Tung University. He's first degree is Bachelor of Science in Applied Mathematics and master degree is Master of Science in computer and decision sciences. Both were awarded in National Tsing Hua University. Dr. Chang served in National Chung Cheng University from 1989 to 2005. His current title is Chair Professor in Department of Information Engineering and Computer Science, Feng Chia University, from Feb. 2005.
Prior to joining Feng Chia University, Professor Chang was an associate professor in Chiao Tung University, professor in National Chung Hsing University, chair professor in National Chung Cheng University. He had also been Visiting Researcher and Visiting Scientist to Tokyo University and Kyoto University, Japan. During his service in Chung Cheng, Professor Chang served as Chairman of the Institute of Computer Science and Information Engineering, Dean of College of Engineering, Provost and then Acting President of Chung Cheng University and Director of Advisory Office in Ministry of Education, Taiwan.
Professor Chang's specialties include, but not limited to, data engineering, database systems, computer cryptography and information security. A researcher of acclaimed and distinguished services and contributions to his country and advancing human knowledge in the field of information science, Professor Chang has won many research awards and honorary positions by and in prestigious organizations both nationally and internationally. He is currently a Fellow of IEEE and a Fellow of IEE, UK. On numerous occasions, he was invited to serve as Visiting Professor, Chair Professor, Honorary Professor, Honorary Director, Honorary Chairman, Distinguished Alumnus, Distinguished Researcher, Research Fellow by universities and research institutes. He also published over 1,100 papers in Information Sciences. In the meantime, he participates actively in international academic organizations and performs advisory work to government agencies and academic organizations.

 

Invited Speakers

 

Prof. Dariusz Jacek Jakóbczak

Koszalin University of Technology, Poland

Dariusz Jacek Jakóbczak was born in Koszalin, Poland, on December 30, 1965. He graduated in mathematics (numerical methods and programming) from the University of Gdansk, Poland in 1990. He received the Ph.D. degree in 2007 in computer science from the Polish – Japanese Institute of Information Technology, Warsaw, Poland.
From 1991 to 1994 he was a civilian programmer in the High Military School in Koszalin. He was a teacher of mathematics and computer science in the Private Economic School in Koszalin from 1995 to 1999. Since March 1998 he has worked in the Department of Electronics and Computer Science, Koszalin University of Technology, Poland and since October 2007 he has been an Assistant Professor in the Chair of Computer Science and Management in this department. His research interests connect mathematics with computer science and include computer vision, artificial intelligence, shape representation, curve interpolation, contour reconstruction and geometric modeling, numerical methods, probabilistic methods, game theory, operational research and discrete mathematics.

 

Prof. Feng-Jen Yang  

Florida Polytechnic University, USA

Dr. Feng-Jen Yang received the B.E. degree in Information Engineering from Feng Chia University, Taichung, Taiwan, in 1989, the M.S. degree in Computer Science from California State University, Chico, California, in 1995, and the Ph.D. degree in Computer Science from Illinois Institute of Technology, Chicago, Illinois, in 2001, respectively. Currently, he is teaching and conducting research at the Florida Polytechnic University. Besides his current job in academia, he also has highly regarded prior research experiences. He once was a research assistant at the Chung Shan Institute of Science and Technology (CSIST), Taoyuan, Taiwan, from 1989 to 1993, as well as an engineer at the Industrial Technology Research Institute (ITRI), Hsinchu, Taiwan, from 1995 to 1996. Throughout his professional career, he dedicates himself to the research areas of Intelligent Tutoring Systems, Simulated Biological Intelligence, Expert Systems, Machine Learning, and Software Engineering. He has also been awarded research grants from ACM SIGCSE and Seed Grants from Florida Polytechnic University.

 

Prof. M.A.JABBAR

Vardhaman College of Engineering, India

Dr. M.A.JABBAR is a Professor and Head of the Department AI&ML, Vardhaman College of Engineering, Hyderabad, Telangana, India. He obtained Doctor of Philosophy (Ph.D.) from JNTUH, Hyderabad, and Telangana, India. He has been teaching for more than 20 years. His research interests include Artificial Intelligence, Big Data Analytics, Bio-Informatics, Cyber Security, Machine Learning, Attack Graphs, and Intrusion Detection Systems. He published more than 50 papers in various journals and conferences. He served as a technical committee member for more than 70 international conferences. He has been Editor for 1st ICMLSC 2018, SOCPAR 2019 and ICMLSC 2020. He also has been involved in organizing international conference as an organizing chair, program committee chair, publication chair and reviewer for SoCPaR, HIS, ISDA, IAS, WICT, NABIC etc. He is Guest Editor for The Fusion of Internet of Things, AI, and Cloud Computing In Health Care: Opportunities and Challenges (Springer) Series, and Deep Learning in Biomedical and Health Informatics: Current Applications and Possibilities –CRC Press,Guest Editor for Emerging Technologies and Applications for a Smart and Sustainable World-Bentham science, Guest editor for Machine Learning Methods for Signal, image and Speech Processing –River Publisher. He is a senior member of IEEE, and Lifetime member in professional bodies like the Computer Society of India (CSI) and the Indian Science Congress Association (ISCA). He is serving as a chair, IEEE CS chapter Hyderabad Section. He is also serving as a member of Machine Intelligence Laboratory, USA (MIRLABS) and USERN, IRAN , Asia Pacific Institute of Science and Engineering (APISE) Hong Kong , Member in Internet Society (USA), United States , Member in data science society USA, Artificial Intelligence and Machine Learning Society of India (AIML), Bangalore. He Received best faculty researcher award from CSI Mumbai chapter and Fossee Labs IIT Bombay ,and Recognized as an outstanding reviewer from Elsevier, Received outstanding Leadership award from IEEE Hyderabad Section. He published 5 patents (Indian) in machine learning and allied areas and published a book on “Heart Disease Data Classification using Data Mining Techniques”, with LAP LAMBERT Academic publishing, Mauritius in 2019.

 

Assoc. Prof. Raja Kumar Murugesan

Taylor’s University, Malaysia

Dr Raja Kumar Murugesan is an Associate Professor of Computer Science, and Head of Research for the Faculty of Innovation and Technology at Taylor’s University, Malaysia. He has a PhD in Advanced Computer Networks from the Universiti Sains Malaysia and has about 30 years’ experience as an educator. His research interests include IPv6, Future Internet, Internet Governance, Computer Networks, Network Security, IoT, Blockchain, and Machine Learning. He is a member of the IEEE and IEEE Communications Society, Internet Society (ISOC), and associated with the IPv6 Forum, Asia Pacific Advanced Network Group (APAN), Internet2, and Malaysia Network Operator Group (MyNOG) member’s community. He has held various leadership roles in his academic career. Raja has given several invited talks and presentations on IPv6, Internet Governance, IoT, Blockchain, AI, Machine learning and Digital Transformation at various international conferences and events. Obtained substantial funds locally and internationally, and engages in research, consultancy, and outreach activities in the area of Advanced Computer Networks. He Publishes vividly in cited International Proceedings and Journals, and contributes to the community actively.

 

Dr. Gabriella Casalino

University of Bari, Italy

Gabriella Casalino is currently an Assistant Professor at the CILab laboratory of the department of Informatics, University of Bari, working on machine learning techniques applied to Web Economy domain. This position has been funded by the Italian Ministry of Education, University and Research (M.I.U.R.) through the European funding project AIM (Attraction and International Mobility). Her research activity is focused on Computational Intelligence with a particular interest for data analysis. Three are the main themes she is currently working on: 1)Intelligent Data Analysis 2)Computational Intelligence for eHealth, 3)Data Stream Mining. Topics in which she has produced original contributions include: image analysis, educational data mining, text mining, e-health, bioinformatics and signal processing. She is active in the computer science community as associate editor and guest editor of special issues in international journals. She is also active in international conference organization.