Professor Ashiq Anjum
Professor of Distributed Systems, University of Leicester, UK
Prof. Ashiq Anjum is a Professor of distributed systems at the University of Leicester, UK. Previously he was the Director of Data Science Research Centre at the University of Derby, UK. His areas of research include data intensive distributed systems, distributed machine learning models and high performance analytics platforms for continuous processing of streaming data.
Prof. Anjum has been part of the EC (European Commission) funded projects in distributed healthcare systems and large scale medical data analytics such as Health-e-Child (IP, FP6), neuGrid (STREP, FP7) and TRANSFORM (IP, FP7) where he investigated resource management and optimization issues in large scale distributed healthcare systems and provided platforms for high performance medical data analytics. Furthermore, He is closely working with healthcare providers, hospitals and pharma companies in investigating high performance analytics systems for distributed clinical intelligence and integration, iterative genome analytics and precision medicine. Moreover, Prof. Anjum has secured grants from industrial partners, Innovate UK, RCUK and other funding agencies for investigating high performance video analytics systems for producing intelligence and evidence for medical, security, object tracking and forensic science applications.
Prof Ali Dehghantanha
Director – Cyber Science Lab, University of Guelph, Canada
Dr. Ali Dehghantanha (CISSP, CISM), a trailblazing luminary at the intersection of cybersecurity and artificial intelligence. A distinguished academic-entrepreneur, he marries deep technical prowess with visionary insights, making him a compelling figure for those steeped in the tech universe of cybersecurity. Renowned for his revolutionary application of machine learning techniques to cyber threat hunting, cyber threat intelligence, and enterprise risk management, Dr. Dehghantanha stands as a pioneering thought leader and disruptor in the field. Collaborating closely with highly technical professionals, he is a vanguard in elevating their practices to counter the escalating sophistication of cyber threats. Recipient of the esteemed IEEE Outstanding Leadership Award in 2021, Dr. Dehghantanha's leadership is indisputable. His distinction as the Canada Research Chair in Cybersecurity and Threat Intelligence since 2020 underscores his exceptional influence.
As the visionary founder of two prestigious master's programs at the University of Guelph in Ontario, Canada, he introduced the "Master of Cybersecurity and Threat Intelligence" in 2019 and, subsequently, the "Master of Cybersecurity Leadership and Cyberpreneurship" program in 2023. Both programs enjoy unwavering support from industry stalwarts. His prolific research echoes in his extensive body of work, encompassing 4 influential books, 2 US Patents, over 80 impactful Journal papers, and over 20 influential conference papers. With more than 13,000 citations, Dr. Dehghantanha's contributions are a wellspring of knowledge shaping the evolution of the cybersecurity landscape.
His prowess isn't confined to cybersecurity alone; his adeptness in artificial intelligence, cybersecurity and enterprise management, and cybersecurity and critical infrastructure further elevate his profile. Dr. Dehghantanha's interdisciplinary expertise and exceptional research acumen mark him as an invaluable ally for organizations navigating the dynamic terrain of cybersecurity and AI. For those seeking a guide through the intricate realms of cybersecurity and AI, Dr. Ali Dehghantanha is the torchbearer illuminating the path forward.
Prof Jong-Hyouk Lee
Professor of Computer Science, Sejong University, Republic of Korea
Dr. Jong-Hyouk Lee completed his Ph.D. in Computer Engineering at Sungkyunkwan University in Suwon, Republic of Korea. His academic journey includes research positions at INRIA, France, and an Assistant Professorship at TELECOM Bretagne, France. He later served as an Associate Professor at Sangmyung University in the Republic of Korea. Since March 2020, Dr. Lee has held the position of Associate Professor at Sejong University in Seoul, Republic of Korea. Dr. Lee's contributions have earned him recognition in the academic community. He received the Best Paper Award at IEEE WiMob 2012, the 2015 Best Land Transportation Paper Award from the IEEE Vehicular Technology Society, and the 2018 IEEE Systems Journal Best Paper Award from the IEEE Systems Council. He also shared his expertise as a tutorial speaker at IEEE WCNC 2013, IEEE VTC 2014 Spring, and IEEE ICC 2016. Acknowledged as the Young Researcher of the Month by the National Research Foundation of Korea (NRF) Webzine in November 2014, Dr. Lee's achievements continued with the receipt of the Haedong Young Scholar Award in 2017. He also received a commendation from the Minister of the Ministry of the Interior and Safety as an outstanding researcher in 2022. He took on roles as the Technical Program Chair for IEEE ICCE 2017, IEEE ICCE 2018, and ICCE 2019. Furthermore, Dr. Lee leads the TTA blockchain base technology group (PG1006) and has contributed to Internet Standards, including IETF RFC 8127, IETF RFC 8191, IETF RFC 8691, and IETF RFC 8818. His involvement extends to standardization efforts in ITU-T SG17 and ISO TC30.
Title: Personally Identifiable Information Consideration in Blockchains
Abstract
Organizations amass vast amounts of personally identifiable information (PII) to drive data-centric market analysis and predictions. These entities store, distribute, and analyze sensitive PII to derive business models through user profiling. Tech giants also enlist third-party service providers to extract customer data, with subsidiary organizations further aggregating, analyzing, and disseminating data from various sources. As a result, users often lose track of their data's destination. Blockchain technology, characterized by its immutable distributed ledger, offers the potential to establish a transparent data auditing platform for PII. However, compliance with Articles 42 and 25 of the General Data Protection Regulation (GDPR), which stipulates the 'right to be forgotten' and 'right to erasure' of personal information, poses a challenge due to blockchain's immutability. This presentation introduces recent research and standardization endeavors focused on developing privacy-conscious blockchain solutions. These initiatives aim to address privacy concerns while harnessing blockchain technology's potential benefits in PII management.
Professor Abbes Amira
Professor of Artificial Intelligence and IoT Applications, University of Sharjah, UAE
Prof. Abbes Amira received his Ph.D degree from Queen’s University Belfast, United Kingdom and he has taken academic, leadership and consultancy positions in the United Kingdom including Queen’s University Belfast, Brunel University and De Montfort University in Leicester, France, Malaysia, and the Middleast at Qatar University, Qatar. He is currently the Dean of the College of Computing and Informatics at the University of Sharjah, UAE. During his career to date, Prof. Amira has been successful in securing substantial funding from government agencies and industry; he has supervised more than 25 PhD students and has over 350 publications in top journals and conferences in the area of embedded systems, artificial intelligence, IoT, image and signal processing. He obtained many international awards, including the 2008 VARIAN prize offered by the Swiss Society of Radiobiology and Medical Physics, CAST award, DELL-EM Envision the Future (2018), IET premium award (2017) and many best paper and recognition awards in IEEE International conferences and events.
Title: Exploring the Versatility of Deep
Neural Networks: Applications in Digital Health, Energy Efficiency, and Data
Insights Visualization
Abstract
In a rapidly evolving technological landscape, the intersection of
deep neural networks and diverse industries is paving the way for
groundbreaking innovations. This keynote presentation will explore the
transformative impact of deep neural networks on various applications, from digital
health including medical imaging to energy efficiency and data insights
visualization. We will delve into how AI-powered models are enhancing medical
image analysis and how potentially can be deployed in various digital health
applications.
Shifting our focus to energy applications, we will uncover how deep
neural networks are driving unprecedented energy efficiency gains with a great
impact on energy user’s behavior. These models are optimizing energy
consumption through the use of recommender systems and techniques for anomaly
detection. Furthermore, we will venture into the realm of data insights
visualization and different representations that empower deep neural networks. Throughout
the keynote, we will showcase real-world applications and success stories that
highlight the potential of deep neural networks. We will also look at the
future trends and challenges of using generative AI to empower these
applications.
Professor Ahmed Elsherbini
Professor of Telecommunication Systems and Networks, Cairo University, Egypt
Professor Ahmed Elsherbini is a Professor of Telecommunication Systems and Networks, Faculty of Engineering, Cairo University. He is also the Chairman of the ICT Research Council, at the Academy of Scientific Research, Egypt. Prof Elsherbini is also the Former Deputy to the Minister of Communications and Information Technology, Egypt. Also, he is the Former Dean of the National Telecommunications Institute, Egypt. Besides, he is the Former Chief of Conferences and Publications at the International Telecommunications Union ( ITU/UN) in Geneva, Switzerland. He is a holder of 2 US Patents, 2 EU Patents, and the Egyptian State Award in Engineering Science.
Professor Sergey Andreev
Professor of Wireless Communications and Academy Research Fellow at Tampere University, Finland
Sergey Andreev is a professor of wireless communications and Academy Research Fellow at Tampere University, Finland. He has been a Visiting Senior Research Fellow with King's College London, UK and a Visiting Postdoc with University of California, Los Angeles, US. He received his Ph.D. (2012) from TUT as well as his Specialist (2006), Cand.Sc. (2009), and Dr.Habil. (2019) degrees from SUAI. He (co-)authored more than 250 published research works on intelligent IoT, mobile communications, and heterogeneous networking.
Title: Wireless Technology Solutions for Connected and Immersive Healthcare
Abstract
Wireless technology is becoming a critical enabler for more connected and immersive healthcare. It facilitates access to meaningful data and mitigates the current divide between various stakeholders in the healthcare industry. In this talk, we review the essential recent developments that underpin future telemedicine services, which include augmented, virtual, and extreme reality for interactive telepresence, beyond-5G infrastructures to support streaming services for remote assistance, and distributed learning methods over heterogeneous data to advance preventive healthcare. Particularly demanded today to remedy the consequences of the global pandemic, these innovative solutions promise to foster decisive progress in the eHealth sector.