Speakers

Mathias M. Adankon received the B.Ing. degree in electrical engineering from the University of

Abomey-Calavi, Cotonou, Benin, in 2000 and the M.Sc. and Ph.D. degrees from Automation Engineering Department, Ecole de Technologie Suprieure (ETS), University of Quebec, Montreal, Canada, in 2005 and 2009, respectively. He received the Gold Academic Medal of Governor General of Canada, awarded to the student graduating with the highest grade point average from a Canadian university program, in 2010.From 2010 to 2011, he was a researcher in the Department of Computer and Software Engineering, Ecole Polytechnique de Montreal, Montreal, in collaboration with the Sainte-Justine Hospital Research Center, Montreal, where he worked on the machine learning research toward biomedical applications. Since 2012, he has been respectively with Sky Financial Group and National Bank of Canada working on financial data analytics. He is also with ML-Consulting, ml-consulting.ca, Canada.

Habib SIDI obtained his PhD in computer science from University of Avignon in France in 2012. He has over 9 years experience developing and applying online optimization and Machine Learning rules in research and industrial telecommunications projects. His professional record involves, Orange Labs, INRIA, Bouygues France and Telefonica Germany. Since 2017 he collaborates with the RINTIO Institute in Benin for the deployment of Deep Learning models for health care. He also holds a position of project line manager at Ericsson France.

Stephane Senecal received a MS in mathematics in 1998 from Joseph Fourier University, a MEng/MS in electrical engineering/signal processing in 1999 and a PhD in statistical modeling and computing for signal processing and telecommunications in 2002, both from Institut National Polytechnique, Grenoble, France. He worked at the Institute of Statistical Mathematics in Tokyo then at France Telecom Japan from 2003 to 2006. In 2007, he joined Orange Labs in Paris in order to design network deployment and operation optimization methods, and fixed and mobile networks traffic data processing solutions. His current research interests span from statistical/machine learning and data science to statistical modeling and simulation methods.

José Quenum received a PhD in Computer Science from UPMC, Paris, France in 2005, a MSc from University Paris Dauphine, Paris, France in 2002 and a BSc in Computer Science from UAC, Cotonou, Benin in 1996. His research interests include distributed systems, distributed databases and storage and multi-agent systems. He has worked in several research institutes and Universities, including NII, Japan, Tokyo, Makerere University, Kampala, Uganda, Hamburg University, Hamburg, Germany, Wits University, Johannesburg, South Africa, NUST, Windhoek, Namibia. He has also co-founded a start-up, InteraXions.

Carlyna Bondiombouy is a big data consultant at Ysance, Paris. Previously, she was a doctoral researcher at Inria in the Zenith Inria team, Montpellier, working on big data integration and polystore systems. She obtained her Ph.D. degree from University of Montpellier in 2017, a Master degree from University Cheikh Anta Diop, Dakar (Senegal) in 2013, and a BSc degree from IAI, Libreville (Gabon) in 2010. She has published several papers in international journals and conferences on big data, databases and cloud computing. She was awarded the best Ph.D. thesis among fellowship students of the Congolese government in 2017.

Roch Glitho [SM] holds a Ph.D. (Tekn. Dr.) in tele-informatics (Royal Institute of Technology, Stockholm, Sweden), and M.Sc. degrees in business economics (University of Grenoble, France), pure mathematics (University Geneva, Switzerland), and computer science (University of Geneva). He is a Full Professor at Concordia University, Montreal, Canada, where he holds a Canada Research Chair. He is also an Adjunct Professor at Telecom Sud-Paris in France and at the University of Western Cape in South Africa. In the past he has worked in industry for almost a quarter of a century and has held several senior technical positions at LM Ericsson in Sweden and Canada (e.g. expert, principal engineer, senior specialist). In the past he has also served as IEEE Communications Society distinguished lecturer, Editor-In-Chief of IEEE Communications Magazine and Editor-In-Chief of IEEE Communications Surveys & Tutoria