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Invited Speakers

Prof. Toufik Bakir
University of Burgundy, France

Toufik Bakir received his Ph.D. degree in industrial automatics from the University of Claude Bernard-Lyon I, Lyon, France, in 2006. He was associate professor at Le2i (Laboratory of electronics, computer science and image) in the University of Burgundy (2007-2020). He became full professor since 2021 at ImViA (Image and Artificial Vision laboratory) in the University of Burgundy. His research interests include dynamic systems, systems modeling, optimization and control.

Speech Title: Contribution to Medical Image Security Systems: IWT based Watermarking, DNA Encryption-decryption
Abstract: A huge amount of digital medical images is exchanged every day. However, ensuring the integrity and authenticity of this exchanged data remains a challenge. Developing new security algorithms is a necessity to preserve digital patient’s information. To tackle the problem of security for medical image transmission, two security schemes are presented; the first one is blind Medical Image Watermarking (MIW) scheme where the watermark’s embedding is performed using a variable gain factor in the floating part of the IWT coefficients values. The second one is an efficient and secure chaotic encryption-decryption scheme based on correlated key-medical image, DNA coding and hash functions (SHA-256 and MD5). Different image quality metrics (IQMs) were used to test the two proposed methods. These IQMs proved the high efficiency of the two proposed schemes. An example of FPGA hardware-software image cryptosystem algorithm based on a Cubic Tent map sequence (FPCTM-PRBG) is presented as well. The performance evaluation proved the efficiency and the robustness of the proposed system for real-time applications, with few logic elements and low power consumption.



 

Prof. Nazri Kama
Universiti Teknologi Malaysia, Malaysia

Nazri Kama is a Professor in Software Engineering at Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia (UTM). He obtained a Bachelor Degree in Computer Science (Database Management) and a Master Degree in Real-time Software Engineering from UTM. He received his Doctoral Degree from University of Western Australia, Australia in the areas of Software Engineering

He has been working on research covering software engineering, requirements engineering, data management, data analytics and electric vehicle charging infrastructure technology. He successfully obtained many research fundings not only from his university but also from local industries. His research output has included many high quality academic quartile journals, research awards, invited keynote speeches, international and local exhibitions, and numerous government demonstrations such as the Ministry of Science, Technology and Innovation, Ministry of Higher Education Malaysia on his research product namely Universal Electric Vehicle Charger and Electric Vehicle Central Management System Infrastructure.

Speech Title: The Role of Master Data Management Model: A Malaysia Local Government Case Study
Abstract: Master Data Management or MDM is an approach for effective management of shared master data across organizations. MDM intends to consolidate and integrate various data from different organizations to a single platform and publish the centralized data to the authorized applications across different organizations. In the Malaysian public sector (our case study), few MDM initiatives have been implemented and developed. However the adoption rate is still slow by our local government. Also, there have been limited studies on the MDM adoption. Hence, research is needed to investigate a set of determinants that influence the MDM adoption. The research started with the identification of problem and knowledge gaps by reviewing existing MDM literature and MDM adoption reports in Malaysia case study. Overall, this case study experience contributes to the theoretical, contextual and practical knowledge of MDM and information technology adoption in the context of Malaysia local government.





 

Assoc. Prof. Mario Konecki
University of Zagreb, Croatia

Associate professor Mario Konecki, Ph.D. is a special advisor to the rector of the University of Zagreb for Internet services and international cooperation, and coordinator of the Croatian Rectors' Conference for information technology. He teaches at the Faculty of Organization and Informatics in Croatia, and is the author or co-author of more than 100 scientific and professional papers. He has been awarded with 7 best paper awards, and has worked on a number of scientific and professional projects. He is active in the fields of education, computer games, virtual reality, augmented reality, artificial intelligence, programming, assistive technologies, design and entrepreneurship.

Speech Title: Impact of Virtual Reality and Artificial Intelligence on Society, Communication, and Sustainability
Abstract: Entrepreneurship is the most essential driving force of both local and global development. Although there are many promising business opportunities, two fields of business are especially future-oriented and offer a number of business novelties. These fields are gaming, which includes the technologies such as virtual reality and augmented reality, and artificial intelligence. The important question is how using these kind of technologies can impact the society, communication, and sustainability aspects of everyday life.
 




 

Dr. Nikola Ivković
University of Zagreb, Croatia

Nikola Ivković was a head of Department of Computing and Technology at Faculty of organization and informatics University of Zagreb. He teaches Computer Networks, Operating Systems, and Computer Architecture related courses. He took part in committees for creating new university study programs.

He received the MS degree in Computing and the PhD degree in Computer Science from the Faculty of Electrical Engineering and Computing, University of Zagreb. His doctoral thesis was in the area of swarm and evolutionary computation. He serves as a regular reviewer for high quality (Q1 and Q2) scientific journals and takes part in a number of international conference committees. His research interests include computational intelligence and optimization, especially swarm intelligence, and also computer networks, security and formal methods.

Speech Title: Solving Hard Problems with Swarm and Evolutionary Computation
Abstract: Swarm and evolutionary computation is an important part of artificial intelligence that is primarily used for solving hard problems for which exact methods cannot be used. For practitioners that have such kind of problem to solve there are many questions to resolve. Which swarm and evolutionary computation method to use? How to implement it at all? How to use it correctly to get good results? For a researcher that wants to start in this area it is important to know about some issues that can easily confuse beginners. This speech will address those questions and issues from the perspective of practical application and from the perspective of becoming an active researcher in the area.



 

Prof. Loc Nguyen
Independent scholar, Vietnam

Loc Nguyen is an independent scholar from 2017. He holds Master degree in Computer Science from University of Science, Vietnam in 2005. He holds PhD degree in Computer Science and Education at Ho Chi Minh University of Science in 2009. His PhD dissertation was certificated by World Engineering Education Forum (WEEF) and awarded by Standard Scientific Research and Essays as excellent PhD dissertation in 2014. He holds Postdoctoral degree in Computer Science, certified by Institute for Systems and Technologies of Information, Control and Communication (INSTICC) in 2015. He serves as reviewer, editor, and speaker in a wide range of international journals and conferences from 2014. He is volunteer of Statistics Without Borders from 2015. He was granted as Mathematician by London Mathematical Society for Postdoctoral research in Mathematics from 2016. He is awarded as Professor by Scientific Advances and Science Publishing Group from 2016. He was awarded Doctorate of Statistical Medicine by Ho Chi Minh City Society for Reproductive Medicine (HOSREM) from 2016. He has published 81 papers and preprints in journals, books and conference proceedings. He is author of 5 scientific books. He is author and creator of 9 scientific and technological products.

Speech Title: Tutorial on Particle Swarm Optimization
Abstract: Local optimization with convex function is solved perfectly by traditional mathematical methods such as Newton-Raphson and gradient descent but it is not easy to solve the global optimization with arbitrary function although there are some purely mathematical approaches such as approximation, cutting plane, branch and bound, and interval method which can be impractical because of their complexity and high computation cost. Recently, some evolutional algorithms which are inspired from biological activities are proposed to solve the global optimization by acceptable heuristic level. Among them is particle swarm optimization (PSO) algorithm which is proved as an effective and feasible solution for global optimization in real applications. Although the ideology of PSO is not complicated, it derives many variants, which can make new researchers confused. Therefore, this tutorial focuses on describing, systemizing, and classifying PSO by succinct and straightforward way. Moreover, combinations of PSO and other evolutional algorithms for improving PSO itself or solving other advanced problems are mentioned too.