Dr. Bayo Adekanmbi
Founder/CEO DSNai Lagos, Nigeria
Data-driven analytics for Agriculture
Biography
Olubayo (Bayo) is driven by a vision to build an AI-first society where Artificial Intelligence is effectively deployed to solve local problems, particularly the sustainable millennial goals. He believes that AI will provide a springboard for Africa’s development by enhancing how we live, work and play. He believes that Nigeria’s population of 200million with median age of about 18 years is a huge strategic advantage that can position Nigeria as one of the top 10 AI Knowledge centres in the world, especially the opportunity to raise 1 million AI talents in 10 years with globally relevant skills that can drive increased employability, FOREX inflow, AI-enabled start-ups and enhancement of the general quality of life through solution-oriented AI applications in Health, Agriculture, Financial Inclusion, Smart City etc. He is a leading expert in Data Science, Advanced Analytics, Business Transformation, Marketing and Strategy, with 19 years of cognate industry experience from two largest economies in Africa (Nigeria &South Africa).
Dr. Nikola S. Nikolov
University of Limerick, Ireland
Data-driven analytics for Fintech
Biography
Dr Nikola S. Nikolov is a Senior Lecturer in the Department of Computer Science and Information Systems (CSIS) at the University of Limerick where he has been an academic faculty member since 2001. Dr Nikolov is a member of the IEEE Technical Committee on Visual Analytics and Communication and the author of more than 60 peer-reviewed research papers in network visualization and data mining, including articles in Discrete Applied Mathematics, Journal of Big Data, Wireless Communications and Mobile Computing, Journal of Medical Internet Research, and other journals. As a co-head of the Big Data and Analytics Research Group (BDARG), Dr Nikolov has organised more than 20 BDARG talks at UL with speakers from various Irish and international academic organisations and software companies. Dr Nikolov has worked as a principal investigator on research projects funded by Science Foundation Ireland (SFI) and the Irish Research Council, as well as a supervisor of PhD students funded by the SFI Centre for Research Training in AI, the SFI Centre for Research Training in Data Science, the China Scholarship Council, the Ministry of Education of Libya and the government of Saudi Arabia. Since 2016, Dr Nikolov has received multiple Erasmus+ mobility grants for establishing long-term collaboration between Laboratoire Systèmes Intelligents et Applications at University Sidi Mohamed Ben Abdellah in Morocco and BDARG. Since 2006, Dr Nikolov has acted as a course director of ten different CSIS programmes. Currently, he is the course director of the M.Sc. in Artificial Intelligence and Machine Learning (since 2020). Dr Nikolov has been actively involved in the design and delivery of Data Science related modules to various M.Sc. and B.Sc. programmes in UL, including the Irish Skillnet-supported national M.Sc. in AI (delivered online) and the M.Sc. in Business Analytics.
Dr. Habib Hamam
University of Moncton, Canada
It's time to understand the physical mechanism behind deep learning
Chess world champion, Magnus Carlson, has no chance of to resist against the intelligent moves of the deep learning-based Alpha-Zero system. Deep neural networks have greatly improved automatic speech recognition, visual recognition, language processing as well as the analysis of electroencephalograms, cosmology, and particle physics. The deep learning inherent to these networks has proven itself in almost all sectors including the economy, health, industry and education. New applications and opportunities have been created by this statistical approach. But a major question arises: Is there a physical mechanism or a mathematical theory behind deep learning? It is important to ask this question because it will allow us to better use deep learning and identify its limitations. This keynote speech explores this major question.
Biography
Habib Hamam obtained the B.Eng. and M.Sc. degrees in information processing from the Technical University of Munich, Germany 1988 and 1992, and the PhD degree in Physics and applications in telecommunications from Université de Rennes I conjointly with France Telecom Graduate School, France 1995. He also obtained a postdoctoral diploma, “Accreditation to Supervise Research in Signal Processing and Telecommunications”, from Université de Rennes I in 2004. He was a Canada Research Chair holder in “Optics in Information and Communication Technologies”, the most prestigious research position in Canada – which he held for a decade (2006-2016). The title is awarded by the Head of the Government of Canada after a selection by an international scientific jury in the related field. He is currently a full Professor in the Department of Electrical Engineering at Université de Moncton. He is OSA senior member, IEEE senior member and a registered professional engineer in New-Brunswick. He obtained several pedagogical and scientific awards. He is among others editor in chief and founder of CIT-Review, academic editor in Applied Sciences and associate editor of the IEEE Canadian Review. He also served as Guest editor in several journals. His research interests are in optical telecommunications, Wireless Communications, diffraction, fiber components, RFID, information processing, IoT, data protection, COVID-19, and Deep learning.
Dr. Mohamed Ibnkahla
University Carleton, Canada
Data-driven analytics for Industry 4.0
The Internet of Things (IoT) hasmadea tremendous impact on our society in almost every sector,ranging from smart ci:es and e-Health to autonomous vehiclesand energy. The unprecedently large amounts of IoT data-Big IoT Data–has made the datacollec:on,analy:cs and decision-making cyclevery challenging. Ar:ficial Intelligence (AI) is playing animportant role to address these challenges through accurate analy:cs and :mely decision-making. Moreover, with flexible deployment,ranging from the sensor board level to the Cloud, AI has given designers and end users lots of poten:als to beJer benefit from this technology. However, there ares:ll fundamental research ques:ons that need to be addressed for a beJer use of AI in this domain, including:1-Whatare the bestAI tools to be usedfor Big IoT Data analy:cs?2-Howthe deployment strategiescan affectAI performance?and3-What is the impact of AI tools on the IoTsecuritythreatlandscape? This plenary talk will give an answer to these ques:onsthrough concrete examplesand industry-based use cases,and will provide thefuturetrends forresearch in this field.
Biography
Dr. Mohamed Ibnkahla joined the Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada in 2015 as a Full Professor where he holds theCisco Research Chair in Sensor Technology for the Internet of Things(IoT) and the NSERC/Cisco Industrial Research Chair in Sensor Networks for IoT. He obtained the Ph.D. degree and the Habilitation a Diriger des Recherches degree from the National Polytechnic Institute of Toulouse, Toulouse, France, in 1996 and 1998, respectively. Prior to joining Carleton University, he has been a Professor at the Department of Electrical and Computer Engineering, Queen’s University, Kingston, Canada, from 2000 to 2015.Over the past 10 years, hehasbeen conducting multi-disciplinary research projects designing, developing and deploying secure and reliable IoTsystemsinvarious domainsincludingintelligent transportation systems, e-Health, smart buildings, public health, renewable energies and smartgrid, public safetyandsecurity, environment monitoring, and smart cities. He published 6 books and more than 70 peer-reviewed journal papers and book chapters, 20 technical reports, 110 conference papers, and 4 invention disclosures. He is the author of Wireless Sensor networks: A Cognitive perspective, CRC Press -Taylor and Francis, 2012and Cooperative Cognitive Radio Networks: The Complete Spectrum Cycle, CRC Press -Taylor and Francis, 2015.In the past 5years he gave more than 30 keynote talksandinvited seminars. Hereceived the Leopold Escande Medal,1997, France, and the Premier’s Research Excellence Award, Canada, 2001. He is the joint holder of 5 Best Paper Awards, including IEEE GLOBECOM Conference, Workshop on Experimental Wireless Platforms, December 2022.Dr. Ibnkahla has been recognized by IEEE Women in Engineering as “a man who supports the development and career growth of women... who actively changed the rules in the educational or working environment to promote inclusion”, May2022.
