Dr Ajmery Sultana
School of Computer Science and Technology, Algoma University (Brampton Campus), Ontario, Canada.
School of Computer Science and Technology, Algoma University (Brampton Campus), Ontario, Canada.
Biography:
Dr. Ajmery Sultana received her Ph.D degree from the Department of Electrical and Computer Engineering, Toronto Metropolitan University (formerly Ryerson University), Toronto, ON, Canada, in 2018. She served as a postdoctoral fellow at the Department of Computer Science at Toronto Metropolitan University from 2018-2019. She worked as part-time faculty at Toronto Metropolitan University, Ontario Tech University and Algoma University, ON, Canada from 2019-2022. She joined as an Assistant Professor in the School of Computer Science and Technology, Algoma University (Brampton Campus) in August 2022. She is a member of IEEE, IEEE ComSoc and IEEE VTS. She is volunteering as Vice Chair, IEEE VTS and IEEE ComSoc (Toronto Section), and IEEE VTS Young Professionals Ambassador. Her research interest includes radio resource management for 6G-Internet of Things (IoT), Artificial Intelligent (AI) driven solutions for communication and networking systems, Blockchain-enabled energy trading in Electric Vehicle (EV) infrastructure, Quantum-safe Blockchain for secure data, and Quantum communications.
Dr. Ajmery Sultana received her Ph.D degree from the Department of Electrical and Computer Engineering, Toronto Metropolitan University (formerly Ryerson University), Toronto, ON, Canada, in 2018. She served as a postdoctoral fellow at the Department of Computer Science at Toronto Metropolitan University from 2018-2019. She worked as part-time faculty at Toronto Metropolitan University, Ontario Tech University and Algoma University, ON, Canada from 2019-2022. She joined as an Assistant Professor in the School of Computer Science and Technology, Algoma University (Brampton Campus) in August 2022. She is a member of IEEE, IEEE ComSoc and IEEE VTS. She is volunteering as Vice Chair, IEEE VTS and IEEE ComSoc (Toronto Section), and IEEE VTS Young Professionals Ambassador. Her research interest includes radio resource management for 6G-Internet of Things (IoT), Artificial Intelligent (AI) driven solutions for communication and networking systems, Blockchain-enabled energy trading in Electric Vehicle (EV) infrastructure, Quantum-safe Blockchain for secure data, and Quantum communications.
Tutorial 2
Title: Integrating Blockchain Technology in Electric Vehicle
Operations: Prospects for a Decentralized and Sustainable Mobility Future
Abstract:
Electric vehicles (EVs) are remarkably getting popular due to their environment-friendly and energy efficiency.
On the other hand, blockchain technology (BT) emerges as a transformative force, empowering the industry with enhanced
security, transparency, and efficiency in transactive energy management system. Recently, the convergence of EVs and BT
has become more noticeable marking a transformative restructuring of mobility and transportation systems. In this tutorial,
we provide an overview (i.e., history, structure, and architecture) of both BT and EVs to set the stage for an in-depth
literature review of blockchain-based EV applications. We identify and explore the diverse potential opportunities for
BT to intersect with the EV landscape, surveying applications across different domains such as security, autonomous systems,
energy sustainability, charging infrastructure, and smart ecosystems. We discuss various blockchain-based industry
innovations in EVs, addressing pilot projects and start-ups. Finally, we specify gaps within the blockchain-enhanced
EV domain, identifying current research challenges and presenting recommendations to help guide future directions for
electric mobility.
Amir Mohammad Bagha
Department of Computer Science, Toronto Metropolitan University, Ontario, Canada.
Department of Computer Science, Toronto Metropolitan University, Ontario, Canada.
Biography:
Amir Mohammadi Bagha is a PhD candidate in Computer Networks at Toronto Metropolitan University (TMU). His research primarily focuses on enhancing security protocols within the Internet of Things (IoT), with a specific interest in smart home technologies. Amir has developed innovative authentication schemes, combining RSA and biometric technologies to address security challenges in IoT environments. He has co-authored several papers on topics such as anomaly detection and biometric-based authentication. He is also passionate about advancing the security and dependability of network computing systems. His upcoming projects aim to explore new paradigms in cybersecurity, leveraging AI-driven solutions to further enhance the security and efficiency of integrated applications.
Amir Mohammadi Bagha is a PhD candidate in Computer Networks at Toronto Metropolitan University (TMU). His research primarily focuses on enhancing security protocols within the Internet of Things (IoT), with a specific interest in smart home technologies. Amir has developed innovative authentication schemes, combining RSA and biometric technologies to address security challenges in IoT environments. He has co-authored several papers on topics such as anomaly detection and biometric-based authentication. He is also passionate about advancing the security and dependability of network computing systems. His upcoming projects aim to explore new paradigms in cybersecurity, leveraging AI-driven solutions to further enhance the security and efficiency of integrated applications.
Title: A Graph Clustering-Based Network Anomaly Detection System
Abstract:
This tutorial presents an unsupervised anomaly detection system based on the Activity and Event Network (AEN) model, a recent
knowledge graph model designed to manage the uncertain and dynamic nature of network activities. Our technique leverages graph
clustering within the AEN framework to identify and adapt to normal behavior across different time periods, establishing baseline
behaviors for each cluster.
Tutorial 3
Biography:
Robson E. De Grande is an Associate Professor in the Department of Computer Science at Brock University, Canada. He received his Ph.D. degree in Computer Science from the University of Ottawa, Canada, in 2012. His research interests include large-scale distributed and mobile systems, cloud computing, performance modelling and simulation, computer networks, vehicular networks, intelligent transportation systems, and distributed simulation systems, actively contributing to these areas.
Robson E. De Grande is an Associate Professor in the Department of Computer Science at Brock University, Canada. He received his Ph.D. degree in Computer Science from the University of Ottawa, Canada, in 2012. His research interests include large-scale distributed and mobile systems, cloud computing, performance modelling and simulation, computer networks, vehicular networks, intelligent transportation systems, and distributed simulation systems, actively contributing to these areas.
Biography:
Mubashir Murshed is doing his Ph.D. in Computer Science (Intelligent Systems and Data Science) at Brock University, Canada. He received his M.Sc. degree in Computer Science from Brock University, Canada, in 2023. He obtained his B.Sc. degree in Computer Science from the University of Chittagong, Bangladesh in 2019. His research interests include vehicular networks, 5G and 6G networks, cloud computing, adaptive learning, algorithm and protocol design, meta-heuristic algorithms, intelligent transport systems, and smart cities.
Mubashir Murshed is doing his Ph.D. in Computer Science (Intelligent Systems and Data Science) at Brock University, Canada. He received his M.Sc. degree in Computer Science from Brock University, Canada, in 2023. He obtained his B.Sc. degree in Computer Science from the University of Chittagong, Bangladesh in 2019. His research interests include vehicular networks, 5G and 6G networks, cloud computing, adaptive learning, algorithm and protocol design, meta-heuristic algorithms, intelligent transport systems, and smart cities.
Title: Simulation-based Design and Evaluation of Multi-Radio Access Technologies for Highly
Mobile Vehicular Networks
Abstract:
Connected vehicles are emerging as pivotal components in Vehicular Networks, enhancing
safety, efficiency, and communication within Intelligent Transportation Systems (ITS).
Implementing Multi-Radio Access Technology (Multi-RAT) networks in this era is crucial for
efficient connection management and resource sharing. Evaluating the performance and
interoperability of heterogeneous wireless technologies in smart city environments is
essential. This tutorial provides a comprehensive guide to setting up and simulating multi-RAT
networks using integrated tools, such as OMNeT++, Simu5G, VEINS, and SUMO, focusing
on multi-RAT network scenarios. The tutorial begins with an introduction to vehicular networks
and an overview of each tool's role in the simulation framework. It highlights OMNeT++'s
versatility in network modelling, Simu5G's capabilities in 5G protocol simulation, VEINS'
integration of traffic scenarios with vehicular mobility in urban environments, and SUMO's role
in generating realistic traffic patterns and road networks. Key topics covered include
configuring network elements using OMNeT++'s NED and INI files, integrating Simu5G for
realistic 5G and LTE-A protocol simulations, configuring VEINS INET for vehicular
communication scenarios, and using SUMO for realistic vehicular mobility and traffic
simulation. Participants will learn to simulate and analyze various multi-RAT network
scenarios through step-by-step instructions and practical examples. This tutorial includes
studying handover mechanisms between 5G and 4G networks and evaluating performance
metrics on network efficiency.