Invited Speakers

Title: Radio Resource Allocation in Device-to-Device (D2D) Communications 5G Networks

Abstract: The popularity and the use of smartphones and other mobile devices is increasing and result in enormous amounts of data traffic. To meet the needs of future bandwidth utilization, data transmission rate, and network connectivity, the current network architecture needs to be re-evaluated. Up until now, people have communicated with one another via uplink and downlink paths. By implementing D2D communication, these new networks are able to be enhanced as they are both scalable and efficient. The deployment of 5G networks will enhance the user experience in terms of the latency, the transmission speed and the connectivity of the devices. These benefits will intensify the integration of D2D communication in the existing cellular network. This aim of this talk is to introduce the the challenges with integrating D2D communication into cellular systems, and the potential for the technology is validated through the use of resource management application which is the radio resource allocation. An algorithm is introduced to address this issue as well strengthen the D2D system in terms of the interference management, the SINR and the throughput of the system which is useful to give valuable impact to the revenue of the country in the telecommunication industry.

Short Bio: Professor Madya. Ts. Dr. Mardeni Roslee is under Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia. He is a President of MMU Mesra, Chairman of Centre of Wireless Technology and Deputy Director of Research Management Centre, Multimedia University. At international level, he is a Chairman of IEEE Malaysia in Comsoc/VTS and Vice-Chair of Malaysian Radar & Navigations Interest Group (MyRaN ig), Malaysian Society for Engineering & Technology (MY SET). He also the Chief Executive Officer (CEO), Founder of Armada Smart Tech MR Sdn Bhd. He is a registered Chartered Engineer with Engineering Council United Kingdom, and Member with The Institution of Engineering and Technology (IET), UK. His current research interests are 5G/6G telecommunication, D2D, satellite, Internet of Things and radar communication. At national and international level, he has been involved in industry consultation and collaborations with some companies, private and government sectors. He is the principle investigator for projects under the local and international funding bodies. Besides, he has been invited by IEEE international conference as a keynote speaker, invited speaker and plenary chair such as at Thailand, China, Australia, Korea, Indonesia, Singapore, Japan, French, United Kingdom, Spain, Canada, New Zealand and Romania. His contributions to academic and the engineering professional over the years have earned him recognitions nationally and internationally, he has awarded 40 international/local awards including the University Excellent Researcher Award for 2016 and 2018, respectively, recipient of VTS Chapter of the Year Award 2017 from Toronto, Canada, Excellence in European Creativity Special Award 2018, World Invention Special Award 2019, Outstanding Researcher Award 2020 and awarded Top Research Scientist in Malaysia 2020 from Academy of Science Malaysia (ASM).

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Title: Intelligent Pattern Recognition (IPR) and Applications to Imaging

Abstract: This talk is concerned with fundamental aspects of Intelligent Pattern Recognition (IPR) and applications. It basically includes the following: Basic Concept of Automata, Grammars, Trees, Graphs and Languages. Ambiguity and its Importance, Brief Overview of Artificial Intelligence (AI), Brief Overview of Pattern Recognition (PR), What is Intelligent Pattern Recognition  (IPR) Interactive Pattern Recognition Concept, Importance  of  Measurement  and  Ambiguity, How   it   works,   Modeling   and  Simulation, Basic Principles and Applications to Computer Vision,  Security, e-Forensics,  Road Sign  Design, biomedical diagnosis, Safer biomedical diagnosis, Traffic and Robot Driving with Vision, Ambiguous (design  of Road  Signs  vs  Unambiguous  (Good)  Road Signs, How to Disambiguate an Ambiguous Road  Sign? What  is  Big  Data? and more Examples and  Applications of Learning  and Greener World using Computer Vision. Finally, some future research directions are discussed.

Short Bio: Prof. Patrick S.P. Wang, PhD. Fellow, IAPR, ISIBM, IETI and IEEE & ISIBM Outstanding Achievement Awardee, Tenured Full Professor, Northeastern University, USA, iCORE (Informatics Circle of Research Excellence) Visiting Professor, MIT, Harvard, University of Calgary, Canada, Otto-Von- Guericke Distinguished Guest Professor, Magdeburg University, Germany,  Zijiang Visiting Chair, ECNU, Shanghai, China,  as well as honorary advisory professor of many key universities in China, including Sichuan University, Xiamen University, East China Normal University, Shanghai, and Guangxi Normal University, Guilin.Prof. Wang received his BSEE from National Chiao Tung University (Jiaotong University), MSEE from National Taiwan University, MSICS from Georgia Institute of Tech, and PhD, CS, Oregon State U.

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Title: The AI–based Data Science and Analytics services

Abstract: Data Science is an interdisciplinary area between computing, mathematics, statistics, analytics, methods, machine learning, data processing and domain expertise. Mastering Data Science often will need to have clear understanding about the data, which methods suitable to deal with the research challenges, extract important results and explain fully and accordingly to the goals of research or business requirements. This keynote presents the latest research outputs for AI–based Data Science and Analytics services and methods that can analyze multiple disciplines including healthcare, finance, data center computing, social networks, security and weather studies. In particular, research outputs from two disciplines will be at the center of attention.

First, the health informatics service allows us to understand more about tumor, genes and proteins, as well as interpret part of how our human body can function. This includes the study of malignant tumor and genes that are prone to certain types of cancers. The latest research on coronavirus analysis and predictive modeling can be explained. Second, it is the financial deep learning, risk modeling and financial computation and algorithms. We can identify the correlation between the current and the past stock movement from the best matching scenarios. Various techniques and results will be discussed in details. Third, the weather studies of Malaysia over a period of time will be included. Temperature distributions in the entire Malaysia will be demonstrated. Outputs in analytics can show interesting results that can overcome challenges. These real-life examples can represent one of the pioneering AI-based Data Science and Analytics Services.

Short Bio: Prof. Victor Chang is a Full Professor of Data Science and Information Systems, School of Computing and Digital Technologies, Teesside University, Middlesbrough, UK, since September 2019. He leads Artificial Intelligence and Information Systems Research Group at Teesside University. He was a Senior Associate Professor, Director of Ph.D. and MRes Programs at International Business School Suzhou (IBSS), Xi’an Jiaotong-Liverpool University (XJTLU), Suzhou, China. He joined XJTLU in June 2016. He is still a Visiting Researcher at the University of Southampton, UK. Previously he worked as a Senior Lecturer at Leeds Beckett University, UK, for 3.5 years. Within 4 years, he completed Ph.D. (CS, Southampton) and PGCert (Higher Education, Fellow, Greenwich) while working full time. Before becoming an academic, he has achieved 97% on average in 27 IT certifications. He won a European Award on Cloud Migration in 2011, IEEE Outstanding Service Award in 2015, best papers in 2012, 2015 and 2018, 2016 European award: Best Project in Research, 2016-2018 SEID Excellent Scholar, Suzhou, China, Outstanding Young Scientist 2017, 2017 special award on Data Science, 2017-2020 INSTICC Service Awards, Top 2% Scientists 2017, 2019 and all careers, Most productive scientist in data analytics (2010-2019) and numerous awards since 2012. He is an Editor-in-Chief of IJOCI & OJBD journals, former Editor of FGCS, Editor of Information Fusion and Associate Editor of TII, and founding Conference Chair of IoTBDS http://www.iotbd.org, COMPLEXIS http://www.complexis.org , FEMIB http://femib.scitevents.org and IIoTBDSC http://iiotbdsc.com. He was involved in different projects worth more than £13 million in Europe and Asia. He has published 3 books as sole authors and the editor of 2 books on Cloud Computing and related technologies. He gave 22 keynotes at international conferences.

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Title: Cyber-Physical Systems Security for Smart Grid Infrastructure

Abstract: There is a strong interdependence between the electrical and communication infrastructure and the neighboring energy systems in today’s modern Power and Energy Systems (PESs) components to enhance the resiliency and reliability of smart grid. To increase the capability of the remote-based monitoring and control systems, Wireless Sensor Networks (WSNs) are widely used in smart grid. WSNs, as the foundation of Internet-of-the-Things (IoT), act as one of the essential enabling technologies of Cyber-Physical Power and Energy Systems (CPPES). Besides the benefits of WSNs, such as high efficiency and low deployment costs, the cyber-physical security of wireless sensor-based communication networks is a big challenge. In addition, there are some measurable factors affecting the adoption of security enhancement approaches in smart grid. This talk focuses on presenting applications, challenges, and standards of WSNs in CPPES along with some solutions to enhance the cyber-physical security of smart grid infrastructure.

Short Bio: Dr. Fazel Mohammadi received the Doctorate degree in Electrical Engineering from the University of Windsor, Windsor, ON, Canada. Dr. Mohammadi is the founder of the Power and Energy Systems Research Laboratory. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and an active member of International Council on Large Electric Systems (CIGRE), European Power Electronics and Drives (EPE) Association, and the Institution of Engineering and Technology (IET). His research interests include Power and Energy Systems, High Voltage Engineering, Power Electronics, and Smart Grid.

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