Assoc. Prof. Rajamohan, ParthasarathySEGI University, MalaysiaBiography:ASSO. PROF. TS. DR. P. RAJAMOHAN received his Bachelor of Science Degree (B.Sc) in Physics later he obtained his Post Graduate Diploma in Computer Applications (PGDCA), Master Degree in Computer Applications (MCA), Master of Technology in Computer Science Engineering (MTech), Doctoral in Philosophy (PhD) in Computer Science, Chartered Engineer (C.Eng.) Title Received from Institution of Engineers India (IEI) and the Fellowship Member from The Institution of Electronics and Telecommunication Engineers (FIETE), India, his area of research in Computer Networks and Security, Artificial Intelligence, IoT & IR 4.0. His Primary Research Interest in Virtual Private Network Implementation for Efficient Data Communication and Wireless Networks Communications and More Towards to Networks Security Especially in Ethical Hacking and Cybersecurity, Cybersecurity with AI, Cloud Computing Security, IoT & IR 4.0. He has obtained Professional Certifications related to Computer Networks and Security areas from Cisco Systems Academic (Networks) and EC-Council (Ethical Hacking). He is a member of the Institution of Engineers India as an Associate Member (AMIE), Graduate Technologist & Professional Technologist in Malaysia Board of Technologists (MBOT), and Senior Member in Asia Society of Researchers (ASR) Hong Kong. He mostly serves as a supervisor and guide to research scholars pursuing master's and doctoral degrees through the research mode. He has published 57 research articles in reputable international journals, and he has attended 15 international conferences. He is also now contributing as an editor/reviewer in eight international journals with high impact factors. Dr. P. Rajamohan has 27 years of academic experiences and two years of Industrial experiences, and he is currently working as an Associate Professor and Lead Coordinator for the Centre for Networks Security & IoT, Faculty of Engineering, Built Environment and Information Technology, SEGi University, Malaysia. Title: Enabling Technologies of IoT and the Impacts of Sustainable Energy and Environment in Various Sectors and Industries Abstract: The world is rapidly changing, i.e. developing in a technological sense and is being driven by the present economic system globally. Unfortunately, each technological development has got its price, which can be sensed through the intense utilization of limited fossil-based resources and the production of various impacts to the environment. A significant infrastructure pressure is expected in cities due to boosted the novel technological solutions would be key to secure the normal operation of manufacturing industries/cities in the given complex and demanding circumstances. In the previous sense, the general application of IoT and smart technologies would have an important role and could help to bridge some major infrastructure related issues in manufacturing industries / cities. The necessity for IoT technologies is closely linked with ongoing technological advancements and digitalization where a variety of different electronic products need to be somehow connected in a useful manner. There is a necessity for more efficient services and flexible processes in general, which could be obtained with the proper implementation of IoT technologies. IoT technologies have allowed for a variety of efficient services and smart networking, applications or devices that can ensure useful synergic effects and produce benefits. The major advantage of IoT technologies is their connectivity aspect that has enormous potential, Various benefits are possible and would be gradually integrated in our lives thorough upcoming years in different application areas. |
|
| Prof. Haw Su ChengMultimedia University, MalaysiaBiography:Su-Cheng Haw is Professor at Faculty of Computing and Informatics, Multimedia University, where she leads several funded research on the XML databases. Her research interests include XML databases, query optimization, database tuning, data modeling, data management, and data warehousing. She has published around 90 articles in reputable journals and conferences. She serves in several editorial boards and participated as technical committee member and reviewer boards for several international conferences and journals. Besides, she also received several ad-hoc invitations to review journal/conference articles. Title: Challenges and Opportunities of Using Recommender Systems for Online Shopping Abstract:Recommender system has been useful to filter the information to search for shopper needs and most wanted items efficiently and relevantly. E-commerce website such as Amazon and Netflix have been using recommender system to build and boost their sales through the personalization recommendation. In addition, it is crucial that a Recommender System is able to provide an unified approach to visualize the interactions level of data, i.e., filter out the unnecessary, and provides the most relevant processed data for decision making purpose. In this talk, some existing recommender system will be discussed focusing in retailer and e-commerce domain. In addition, possible research directions will be discussed based on the current trends and problems. |
Assoc. Prof. Pavel Loskot, IEEE Senior MemberZhejiang University-University of Illinois at Urbana-Champaign Institute (ZJUI), ChinaBiography:Pavel Loskot joined the ZJU-UIUC Institute in January 2021 as the Associate Professor after being nearly 14 years with Swansea University in the UK. He received his PhD degree in Wireless Communications from the University of Alberta in Canada, and the MSc and BSc degrees in Radioelectronics and Biomedical Electronics, respectively, from the Czech Technical University of Prague in the Czech Republic. He is the Senior Member of the IEEE, Fellow of the Higher Education Academy in the UK, and the Recognized Research Supervisor of the UK Council for Graduate Education. His current research interest focuses on problems involving statistical signal processing and importing methods from Telecommunication Engineering and Computer Science to other disciplines in order to improve the efficiency and the information power of system modeling and analysis. Title: Dealing with Non-Linearities in Signal Processing Abstract: Many practical problems involve non-linear multivariate models with random signal inputs. This not only makes the analysis often to be mathematically intractable, but also requires implementing non-linear signal processing methods, which can easily become non-trivial. The basic strategy to deal with non-linearities is to linearize or otherwise approximate the non-linearity, and to decompose high-dimensional non-linear systems into interrelated lower-dimensional components. In this talk, I will review the most common strategies that are used to process non-linear random signals, and to design non-linear signal processing, which cannot be avoided in some applications. |
|
