Keynote Speakers


Prof. Ljiljana Trajkovic
Simon Fraser University, Canada (IEEE Life Fellow)

Bio: Ljiljana Trajkovic received the Dipl. Ing. degree from University of Pristina, Yugoslavia, the M.Sc. degrees in electrical engineering and computer engineering from Syracuse University, Syracuse, NY, and the Ph.D. degree in electrical engineering from University of California at Los Angeles. She is currently a professor in the School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada. Her research interests include communication networks and dynamical systems. She served as IEEE Division X Delegate/Director and President of the IEEE Systems, Man, and Cybernetics Society and the IEEE Circuits and Systems Society. Dr. Trajkovic serves as Editor-in-Chief of the IEEE Transactions on Human-Machine Systems and Associate Editor-in-Chief of the IEEE Open Journal of Systems Engineering. She is a Distinguished Lecturer of the IEEE Circuits and System Society, a Distinguished Lecturer of the IEEE Systems, Man, and Cybernetics Society, and a Fellow of the IEEE.

Title: Machine Learning for Detecting Internet Traffic Anomalies

Abstract: Border Gateway Protocol (BGP) enables the Internet data routing. BGP anomalies may affect the Internet connectivity and cause routing disconnections, route flaps, and oscillations. Hence, detection of anomalous BGP routing dynamics is a topic of great interest in cybersecurity. Various anomaly and intrusion detection approaches based on machine learning have been employed to analyze BGP update messages collected from RIPE and Route Views collection sites. Survey of supervised and semi-supervised machine learning algorithms for detecting BGP anomalies and intrusions is presented. Deep learning, broad learning, and gradient boosting decision tree algorithms are evaluated by creating models using collected datasets that contain Internet worms, power outages, and ransomware events.

Prof. Shakil Akhtar
Clayton State University, USA

Bio: Dr. Shakil Akhtar is a Professor of IT and Computer Science at Clayton State University since 2007. He was the IT Department head from July 2007 to December 2008. He was a Professor in the College of Information Technology at UAE University from 2002 to 2007. His main research interests are reliability/performance modeling of computer and communications systems, QoS and security issues of fifth generation (and beyond) mobile systems, wireless LAN standards and CS/IT education. He was involved in creating 3G and 4G mobile systems simulation performance models while working for Lucent Technologies during 2000 to 2002. His other prior work experience includes Computer Science/Engineering Departments at Central Michigan University, University of Toledo, and King Fahad University of Petroleum and Minerals, Dhahran, Saudi Arabia. He has a wide teaching experience that includes undergraduate and graduate courses in Computer Networks, Reliability, Performance Modeling, Simulation, Programming (Java, Visual Basic and C++), Computer Architecture and Digital System Design. His research has been supported by the universities and government funding agencies. He has received several individual and joint research grants from Clayton State University, UAE University, Central Michigan University. At the national level, he received NSF research grants while working for Central Michigan University. His published research consists of over 75 papers in international journals and proceedings of international conferences, including papers in IEEE Transactions on Reliability, Computer Communications, WSEAS Transactions on Mathematics, ASEE Annual Conference & Exhibitions, Spring and Summer Simulation Multiconferences, SIGCSE Technical Symposiums on Computer Science Education, etc. He is Editor-In-Chief of ANSI Information Technology Journal and member/reviewer of various international journal/conference advisory boards/technical committee, such as IEEE Transactions on Learning Technologies, Journal of Emerging Trends in Computer and Information Sciences, ASEE Conferences, Scienceone International Conferences on Information Technology, etc. He is also an ABET program evaluator for CS programs since 2010, and has been involved in evaluating more than ten different CS programs nationally and internationally.

Title: Internet of Things Medical Imaging Technology for Healthcare Applications

Abstract: This keynote speech addresses Internet of Thing (IoT) technology usage in healthcare applications. Using IoT in healthcare enhances the quality of care and minimizes the healthcare expenses with automation and resource optimization provided by it. The IoT in medical imaging enables identification followed by corrective measures to be taken in the real time in case of medical emergencies due to serious conditions involving heart, lung, and kidney emergencies with symptoms of high blood pressure, abnormal pulse rate and fluctuations in blood sugar levels. In addition, visual diagnosis of images helps in early detection of serious diseases such as skin cancer etc.

An extra advantage of IoT devices is that they are controlled, monitored, and accessed over the web. An IoT ecosystem consists of web-enabled smart devices that use embedded processors, sensors, and communication hardware to collect, send and act on data they acquire from their environments. IoT devices share the sensor data they collect by connecting to an IoT gateway or other edge device where data is either sent to the cloud to be analyzed or may be analyzed locally. Thus, medical imaging would reduce the waiting time and the vexation for the patients as well as the physicians. This enables e-businesses to tailor their medical imaging devices in accordance with IoT requirements.

One specific application area within IoT for skin cancer (Melanoma) detection is addressed in this keynote speech. Details of a proposed research project to implement an AI-based Melanoma detection will be presented. The proposed system will allow collection and analysis of skin data for AI based image analysis. The sample will be collected via smart phone using high quality cameras and analyzed at an AI enabled server with collection of skin cancer images collected from publicly available resources.

Prof. Lee Pui Mun
Singapore University of Social Sciences, Singapore

Bio: Lee Pui Mun is a Professor in the School of Business, Singapore University of Social Sciences [SUSS]. He teaches management, strategy and operations. He also served as the Vice Dean and then the Dean of the School of Business, SUSS between 2010 to 2018. He has authored more than 60 articles and has done consulting work for many organisations in the areas of performance management, quality management, and operations management. He serves as an Assessor for the Singapore Quality Award and conducted research on business excellence. He was a member for the Singapore Quality and Safety Standards Committee and serves as a member of Editorial Board, Asia Pacific Journal of Innovation and Entrepreneurship. He is a senior member of American Society for Quality and is a member for the Academy of Management. He has been a reviewer for many different journals and also an examiner for many different universities’ postgraduate theses.

Title: A Framework for Conceptualizing Digitalization/Automation in an Organization 

Abstract: The digital economy is fast becoming the dominant locomotive driving economies in many countries. Within businesses and industry, the 4th industrial revolution (Industry 4.0) is changing the way businesses operate and produce goods and services. Digital technologies such as Artificial Intelligence, Data Analytics, Visual Recognition, virtual/augmented reality, metaverse environment, Internet of Things, etc. are becoming relevant tools and techniques to support businesses in successfully adapting themselves to a digital economy. Businesses find themselves needing to embark on strategic digital transformations to meet the needs of the digital economy and Industry 4.0 operating environment.

Most businesses today know that they need to adapt and adopt digital technologies. The important consideration is where and how does a business plan and implement its digital transformation strategically. Many real-life examples have shown digitalization of customer activities and automation of manufacturing processes. Besides these two areas in business, where else could digital transformation be implemented that will enhance productivity and competitiveness of the business?

This discussion will focus on how businesses should consider strategic digital transformation and the use of a framework for conceptualizing digitalization/automation in an organization.