Biography:
Dr. Sudeep Tanwar (Senior Member, IEEE) is working as a professor at the Nirma University, India. He is also a Visiting Professor with WSG University, Bydgoszczy, Poland, Jan Wyzykowski University, Poland, and the University of Pitesti, Romania. He is senior member of IEEE and also Vice Chair of IEEE Computer Society Gujarat Section. He received B.Tech in 2002 from Kurukshetra University, India, M.Tech (Honor’s) in 2009 from Guru Gobind Singh Indraprastha University, Delhi, India and Ph.D. in 2016 with specialization in Wireless Sensor Network. He has authored 05 books and edited 25 books, more than 400 technical articles, including top cited journals and conferences, such as IEEE TNSE, IEEE TVT, IEEE TII, IEEE TGCN, IEEE TCSC, IEEE IoTJ, IEEE NETWORKS, IEEE WCM, ICC, IWCMC, GLOBECOM, CITS, and INFOCOM. He initiated the research field of blockchain technology adoption in various verticals in the year 2017. His H-index as per Google Scholar and Scopus is 73 and 61, respectively. His research interests include blockchain technology, D2D communication, Deep Learning/machine Learning, wireless sensor networks, fog computing, smart grid, and the IoT. He is a member of the Technical Committee on Tactile Internet of IEEE Communication Society. Recently, He has been awarded a cash prize of Rs, 50,000 for publishing papers with 5+ Impact factor and publication of books with Springer, IET & CRC under the scheme of "Faculty Awards and Incentives" of Nirma University for the year 2019-2020. He has been awarded the Best Research Paper Awards from IEEE SCIoT 2022, IEEE IWCMC-2021, IEEE ICCCA-2021, IEEE GLOBECOM 2018, IEEE ICC 2019, and Springer ICRIC-2019. He has won Dr KW Wong Annual Best Paper Prize (with 750 USD) for 2021 sponsored by Elsevier (publishers of JISA). He has served many international conferences as a member of the Organizing Committee, such as the Publication Chair for FTNCT-2020, ICCIC 2020, and WiMob2019, and a General Chair for IC4S 2019, 2020, 2021, 2022, ICCSDF 2020, FTNCT 2021. He is also serving the editorial boards of COMCOM-Elsevier, IJCS-Wiley, Cyber Security and Applications- Elsevier, Frontiers of blockchain, SPY, Wiley, IJMIS journal of Inderscience, JCCE, and JSSS. He is also leading the ST Research Laboratory, where group members are working on the latest cutting-edge technologies.
Dr. Sudeep Tanwar (Senior Member, IEEE) is working as a professor at the Nirma University, India. He is also a Visiting Professor with WSG University, Bydgoszczy, Poland, Jan Wyzykowski University, Poland, and the University of Pitesti, Romania. He is senior member of IEEE and also Vice Chair of IEEE Computer Society Gujarat Section. He received B.Tech in 2002 from Kurukshetra University, India, M.Tech (Honor’s) in 2009 from Guru Gobind Singh Indraprastha University, Delhi, India and Ph.D. in 2016 with specialization in Wireless Sensor Network. He has authored 05 books and edited 25 books, more than 400 technical articles, including top cited journals and conferences, such as IEEE TNSE, IEEE TVT, IEEE TII, IEEE TGCN, IEEE TCSC, IEEE IoTJ, IEEE NETWORKS, IEEE WCM, ICC, IWCMC, GLOBECOM, CITS, and INFOCOM. He initiated the research field of blockchain technology adoption in various verticals in the year 2017. His H-index as per Google Scholar and Scopus is 73 and 61, respectively. His research interests include blockchain technology, D2D communication, Deep Learning/machine Learning, wireless sensor networks, fog computing, smart grid, and the IoT. He is a member of the Technical Committee on Tactile Internet of IEEE Communication Society. Recently, He has been awarded a cash prize of Rs, 50,000 for publishing papers with 5+ Impact factor and publication of books with Springer, IET & CRC under the scheme of "Faculty Awards and Incentives" of Nirma University for the year 2019-2020. He has been awarded the Best Research Paper Awards from IEEE SCIoT 2022, IEEE IWCMC-2021, IEEE ICCCA-2021, IEEE GLOBECOM 2018, IEEE ICC 2019, and Springer ICRIC-2019. He has won Dr KW Wong Annual Best Paper Prize (with 750 USD) for 2021 sponsored by Elsevier (publishers of JISA). He has served many international conferences as a member of the Organizing Committee, such as the Publication Chair for FTNCT-2020, ICCIC 2020, and WiMob2019, and a General Chair for IC4S 2019, 2020, 2021, 2022, ICCSDF 2020, FTNCT 2021. He is also serving the editorial boards of COMCOM-Elsevier, IJCS-Wiley, Cyber Security and Applications- Elsevier, Frontiers of blockchain, SPY, Wiley, IJMIS journal of Inderscience, JCCE, and JSSS. He is also leading the ST Research Laboratory, where group members are working on the latest cutting-edge technologies.
Title: Amalgamation of Blockchain and AI for 5G and Beyond Applications: Opportunities and Challenges
Abstract:
The convergence of Blockchain and Artificial Intelligence (AI) with 5G and beyond networks promises transformative advancements in telecommunications.
This integration enhances security, trust, and efficiency in data management while optimizing network performance. Blockchain's decentralized ledger
and AI's advanced analytics create a robust framework for managing 5G environments. This talk discusses opportunities including improved cybersecurity,
efficient spectrum management, and autonomous network operations. Also, highlight challenges such as high computational demands, latency, interoperability,
and standardization must be addressed. Discussed opportunities and challenges, providing insights into future research and practical implementations
to achieve secure, intelligent, and efficient next-generation networks.
Dr Olutayo Oyeyemi Oyerinde
School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa
School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa
Biography:
Dr. Olutayo Oyeyemi Oyerinde received a Ph.D. degree in electronic engineering from the University of Kwazulu-Natal, Durban, South Africa, in 2011. He has been with the School of Electrical and Information Engineering, the University of the Witwatersrand at Johannesburg, South Africa, since 2013, where he is currently an Associate Professor. He is a National Research Foundation (NRF) C2-rated scientist, a Registered Professional Engineer (Pr.Eng.) with the Engineering Council of South Africa (ECSA), a Registered Engineer (R.Eng) with COREN, a Senior Member of the Institute of Electrical and Electronics Engineer (SMIEEE), and a Corporate Member of NSE amongst others. He is an Associate Editor for both the IEEE Access journal and the Journal of the Franklin Institute. He is also a member of the editorial board of the International Journal of Sensors, Wireless Communications & Control. His current research interests include wireless communications with specific interests in 5G and beyond 5G technologies, and signal processing techniques for wireless communication systems.
Dr. Olutayo Oyeyemi Oyerinde received a Ph.D. degree in electronic engineering from the University of Kwazulu-Natal, Durban, South Africa, in 2011. He has been with the School of Electrical and Information Engineering, the University of the Witwatersrand at Johannesburg, South Africa, since 2013, where he is currently an Associate Professor. He is a National Research Foundation (NRF) C2-rated scientist, a Registered Professional Engineer (Pr.Eng.) with the Engineering Council of South Africa (ECSA), a Registered Engineer (R.Eng) with COREN, a Senior Member of the Institute of Electrical and Electronics Engineer (SMIEEE), and a Corporate Member of NSE amongst others. He is an Associate Editor for both the IEEE Access journal and the Journal of the Franklin Institute. He is also a member of the editorial board of the International Journal of Sensors, Wireless Communications & Control. His current research interests include wireless communications with specific interests in 5G and beyond 5G technologies, and signal processing techniques for wireless communication systems.
Title: Journey From Reconfigurable Intelligent Surface (RIS) to Beyond Diagonal (BD)-
RIS for Beyond 5G Wireless Communication: Challenges and Opportunities
Abstract:
Reconfigurable Intelligent Surface (RIS) has been suggested as one of the key enabling
technologies for the beyond 5G and 6G wireless communication networks. The reason
for this is hinged on its ability to build controllable radio environments and enhance the
quality of communication in the most cost-effective way. Some of the advantages of RIS
include its simplicity of usage, enhanced spectral efficiency and throughput, high
compatibility with existing networks’ hardware, and its being environmentally and energy
friendly. However, due to the absence of connection between the RISs’ ports, its
architecture results in a diagonal scattering (phase shift) matrix which allows for the
control of the impinging signal waves’ phases, but cannot control the magnitudes of the
impinging signal waves when the lossless assumption is made. Hence, this simple
architecture of the traditional RISs has placed constraints on its flexibility in modulating
the equivalent wireless channel. To overcome this constraint and enhance system
performance, the traditional RISs’ architecture has been scaled up to form a more robust
version of RISs, called beyond diagonal RISs (BD-RISs). This talk will therefore focus on
comparison between traditional RIS and BD-RIS, the various architectures of BD-RIS,
possible modes of transmission, associated challenges, and possible areas of
applications.
Biography:
Dr Sherif Saad an associate professor at the School of Computer Science at the University of Windsor, Canada, is modest yet notable in his contributions to the field of cybersecurity, especially in integrating artificial intelligence (AI) and machine learning (ML) into this domain. As the founder of the Wicked Applied Security Practices (WASP) Lab, he leads a team focused on developing practical solutions for complex cybersecurity challenges, blending innovative and traditional research methods. In his work, Dr. Saad explores the reliability and robustness of ML systems, particularly in adversarial contexts, and the development of machine learning models that are scalable and interpretable, with a keen focus on their application in cybersecurity. While rigorous, his approach to research is always guided by a desire to produce work that is theoretically sound and practically relevant. With over 15 years of industry experience, Dr. Saad's career has spanned various roles in software development and engineering, reflecting his deep understanding of both the academic and practical aspects of cybersecurity. His work has facilitated collaborations that extend beyond the academic world, contributing to real-world security solutions.
Dr Sherif Saad an associate professor at the School of Computer Science at the University of Windsor, Canada, is modest yet notable in his contributions to the field of cybersecurity, especially in integrating artificial intelligence (AI) and machine learning (ML) into this domain. As the founder of the Wicked Applied Security Practices (WASP) Lab, he leads a team focused on developing practical solutions for complex cybersecurity challenges, blending innovative and traditional research methods. In his work, Dr. Saad explores the reliability and robustness of ML systems, particularly in adversarial contexts, and the development of machine learning models that are scalable and interpretable, with a keen focus on their application in cybersecurity. While rigorous, his approach to research is always guided by a desire to produce work that is theoretically sound and practically relevant. With over 15 years of industry experience, Dr. Saad's career has spanned various roles in software development and engineering, reflecting his deep understanding of both the academic and practical aspects of cybersecurity. His work has facilitated collaborations that extend beyond the academic world, contributing to real-world security solutions.
Title: Unleashing the Power of AI in IoT Security
Abstract:
As the Internet of Things (IoT) continues to expand, encompassing everything from smart homes to critical industrial
systems, ensuring the security of these interconnected devices has become a paramount concern. Artificial Intelligence
(AI) offers powerful tools to enhance IoT security, providing capabilities for real-time threat detection, predictive
maintenance, and automated response mechanisms. However, AI also presents new challenges, as adversaries can harness its
capabilities to develop sophisticated attacks. In this keynote, Dr. Saad will explore the dual role of AI in IoT
security, highlighting how it can be both a defender and a potential adversary. Through real-world examples and case
studies, he will demonstrate how AI can be leveraged to protect IoT systems, while also examining the threats posed by
AI-driven attacks. Dr. Saad will discuss the latest advancements in AI techniques for anomaly detection, threat prediction,
and automated responses, as well as the ethical and privacy considerations inherent in these technologies.
Biography:
Dr. Simon Chege received the B.Tech. degree in Electrical and Communications Engineering from Moi University, Kenya, the M.Tech. degree in Electrical and Electronic Engineering from JNTU-Anantapur, India, and the PhD in Electronic Engineering from the University of KwaZulu-Natal, Durban, South Africa. He is working with Moi University, Kenya as a Lecturer in the Department of Electrical and Communication Engineering. He is also currently undertaking a post-doctoral research fellowship at the University of KwaZulu Natal. He has published and reviewed papers in peer reviewed journals. He has also been a TPC member at WIDECOM and IEEE AFRICON conferences. Currently, his research interests include wireless communications, multi-radio access technologies, wireless sensor networks, machine learning and smart cities.
Dr. Simon Chege received the B.Tech. degree in Electrical and Communications Engineering from Moi University, Kenya, the M.Tech. degree in Electrical and Electronic Engineering from JNTU-Anantapur, India, and the PhD in Electronic Engineering from the University of KwaZulu-Natal, Durban, South Africa. He is working with Moi University, Kenya as a Lecturer in the Department of Electrical and Communication Engineering. He is also currently undertaking a post-doctoral research fellowship at the University of KwaZulu Natal. He has published and reviewed papers in peer reviewed journals. He has also been a TPC member at WIDECOM and IEEE AFRICON conferences. Currently, his research interests include wireless communications, multi-radio access technologies, wireless sensor networks, machine learning and smart cities.
Title:
Multi-Radio Access Technologies with Artificial Intelligence on Internet of Things (IoT)
Abstract:
Predictably, the upcoming six generation (6G) networks, requires an ultra-massive interconnectivity comprising
densely congested sustainable small-to-tiny networks. The conventional radio access technologies (RAT) will
be redesigned to provide the necessary intelligence in all areas to meet required network flexibility, full
coverage, and massive access. In this respect, the talk will focus on intelligent massive RAT (mRAT) architectures
and key technologies fulfilling the requirements. We investigate possible enablers of mRAT. Particularly,
we interrogate potential artificial intelligence algorithms for resource management issues in B5G mRAT.