Dr Doreid AMMAR

Lecturer in Data Science and Computer Science | Academic Director
Dr. Doreid AMMAR

Biography

Doreid Ammar was awarded an MSc and a PhD in computer science from Claude Bernard Lyon 1 University, Villeurbanne, France, in 2009 and 2012, respectively.

He is a Professor of computer science and data science and the Academic Dean at aivancity School for Technology, Business & Society, Paris-Cachan, France. His research interests focus on machine learning, artificial intelligence and the Internet of Things.

He was an Associate Professor of data science at emlyon business school, Écully, France. He was a Researcher at INRIA, Rocquencourt, France; Alcatel-Lucent Bell Labs, Nozay, France; LIP-ENS de Lyon, Lyon, France; and CITI-INSA de Lyon, Villeurbanne. He was also a Marie Curie Fellow at the European Research Consortium for Informatics and Mathematics, and spent time at the VTT Technical Research Centre of Finland, Oulu, Finland, and the Norwegian University of Science and Technology, Trondheim, Norway.

Education & Qualifications

YearUniversityQualification/Position
2017deeplearning.ai Certificate in Improving Deep Neural Networks: Hyperparameter Tuning, Regularisation and Optimisation
2017deeplearning.ai Certificate in Structuring Machine Learning Projects
2017 deeplearning.ai Certificate in Neural Networks and Deep Learning
2017UC San Diego Certificate in Big Data Integration and Processing
2017UC San Diego Certificate in Big Data Modelling and Management Systems
2016Stanford University Certificate in Machine Learning
2009–2012 Claude Bernard University (Lyon I) PhD in Computer Science
2008–2009 Claude Bernard University (Lyon I) M.Sc. (Research), Computer Science, specialising in Networking, Telecommunications and Services

Work experience

YearRole
2020 – Present Academic Dean, Professor of Computer Science and Data Science – aivancity
2018 – 2020 Associate Professor of Data Science – emlyon Business School
2016–2017 Postdoctoral Fellow – NTNU
2015–2016 Postdoctoral fellowship – ERCIM (Norway)
2015–2016 Marie Curie Fellow – ERCIM
2013–2015 ERCIM postdoctoral fellowship – VTT
2013–2015 Marie Curie Fellow – ERCIM (Finland)
2009–2013 Teaching Assistant in the Department of Computer Science – Claude Bernard University (Lyon I)
2009–2012 PhD student in Computer Science – INRIA
2009 M.Sc. Research Placement – INRIA

Publications

Informal Publications

  • Doreid Ammar, Katrien De Moor, and Poul E. Heegaard, “Quality of Experience – assessment of WebRTC-based video communication”, ERCIM News magazine (ERCIM News 105) – 2016.
  • Doreid Ammar, “QoE-Aware Routing for Video Streams”, IEEE Communications Society MMTC E-Letter, 2015.
  • Doreid Ammar, Thomas Begin, Isabelle GuĂ©rin Lassous, and Ludovic Noirie, “Performance Evaluation of MBAC Solutions”, INRIA Research Report RR-8080, 2012.
  • Doreid Ammar, Thomas Begin, Isabelle GuĂ©rin Lassous, and Ludovic Noirie, “Traffic-Aware Flow Admission Control”, in Bell Labs Open Days 2012, Alcatel-Lucent Bell Labs, Nozay, Villarceaux, France, 2012.
  • Doreid Ammar, Thomas Begin, Isabelle GuĂ©rin Lassous, and Ludovic Noirie, “KBAC: Knowledge-Based Admission Control”, INRIA Research Report RR-7955, 2012.
  • CĂ©dric LĂ©vy Bencheton, Doreid Ammar, Guillaume Villemaud, Tanguy Risset, and ClĂ©ment Reboul, “Multi-Mode Relaying for Power Consumption Reduction”, INRIA Research Report RR-7245, 2010.

Journal Articles

  • Frank Alexander Kraemer, David Palma, Anders Eivind Braten, Doreid Ammar, “Operationalising Solar Energy Predictions for Sustainable, Autonomous IoT Device Management”, IEEE Internet of Things (IoT) Journal, 2020.
  • Doreid Ammar, Katrien De Moor, and Poul E. Heegaard, “An Experimental Platform for QoE Studies of WebRTC-based Multi-Party Video Communication”, International Journal of New Computer Architectures and their Application, 2018.

Conference and Workshop Papers

  • Hugo Hadjur, Doreid Ammar, Laurent Lefevre “Analysis of Energy Consumption in a Precision Beekeeping System”, 10th International Conference on Internet of Things (IoT 2020), Malmö, Sweden, 2020.
  • Doreid Ammar, Jean Savinien, Lionel Radisson “The Makers’ Beehives: Smart Beehives for Monitoring Honey-Bees’ Activities”, 9th International Conference on Internet of Things (IoT 2019), Bilbao, Spain, 2019.
  • Doreid Ammar, Katrien De Moor, Lea Skorin-Kapov, Markus Fiedler, Poul E. Heegaard “Exploring the Usefulness of Machine Learning in the Context of WebRTC Performance Estimation.”, 44th IEEE Conference on Local Computer Networks (LCN 2019), OsnabrĂŒck, Germany, 2019.
  • [Best Paper Award] Frank Alexander Kraemer, Doreid Ammar, Anders Eivind Braten, Nattachart Tamkittikhun and David Palma “Solar Energy Prediction for Constrained IoT Nodes based on Public Weather Forecasts”, 7th International Conference on the Internet of Things (IoT 2017), Linz, Austria, 2017.
  • Anders Eivind Braten, Nattachart Tamkittikhun, Frank Alexander Kraemer and Doreid Ammar “Towards Cognitive Device Management: A Testbed to Explore Autonomy for Constrained IoT Devices”, 7th International Conference on Internet of Things (IoT 2017), Linz, Austria, 2017.
  • Katrien De Moor, Sebastian Arndt, Doreid Ammar, Jan-Niklas Voigt-Antons, Andrew Perkis, and Poul E. Heegaard “Exploring diverse measures for evaluating QoE in the context of WebRTC”, 9th International Conference on Quality of Multimedia Experience (QoMEX 2017), Germany, 2017.
  • Doreid Ammar and MartĂŹn Varela, “Evaluation and Comparison of QoE-Based Admission Control Solutions”, 2016 IEEE 19th International Conference on Computational Science and Engineering, Paris, France, 2016.
  • Doreid Ammar, Katrien De Moor, Min Xie, Markus Fiedler, and Poul E. Heegaard, “Video QoE Killer and Performance Statistics in WebRTC-based Video Communication”, In the IEEE Sixth International Conference on Communications and Electronics (ICCE 2016), Ha Long, Vietnam, 2016.
  • Doreid Ammar, Poul E. Heegaard, Min Xie, Katrien De Moor, and Markus Fiedler “Revealing the Dark Side of WebRTC Statistics Collected by Google Chrome”, 8th International Conference on Quality of Multimedia Experience (QoMEX 2016), Lisbon, Portugal, 2016.
  • Toni MĂ€ki, MartĂŹn Varela, and Doreid Ammar, “A Layered Model for Quality Estimation of HTTP Video from QoS Measurements”, 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS 2015), Bangkok, 2015.
  • Doreid Ammar and MartĂŹn Varela, “QoE-Driven Admission Control for Video Streams”, 6th International Conference on Information, Intelligence, Systems and Applications (IISA 2015), Corfu, 2015.
  • Doreid Ammar and MartĂŹn Varela, “QoE-Aware Routing for Video Streaming Over Wired Networks”, IEEE 23rd International Symposium on Quality of Service (IWQoS 2015), Portland, USA, 2015.
  • Doreid Ammar, Thomas Begin, Isabelle GuĂ©rin Lassous, and Ludovic Noirie, “KBAC: Knowledge-Based Admission Control”, in the 37th Annual IEEE Conference on Local Computer Networks (LCN 2012), Clearwater, Florida, USA, 2012.
  • Doreid Ammar, Julien Brochet, Thomas Begin, Isabelle GuĂ©rin Lassous, and Ludovic Noirie, “Knowledge-Based Admission Control: A Real-Time Performance Analysis”, In Demonstrations of the IEEE Conference on Local Computer Networks 2012 (LCN-Demos 2012), Clearwater, USA, 2012.
  • Doreid Ammar, Thomas Begin, Isabelle GuĂ©rin Lassous, and Ludovic Noirie, “Knowledge-Based Admission Control”, 14th Rencontres Francophones sur les Aspects Algorithmiques de TĂ©lĂ©communications (ALGOTEL 2012), La Grande Motte, HĂ©rault, France, 2012.
  • Doreid Ammar, Thomas Begin, Isabelle GuĂ©rin Lassous, and Ludovic Noirie, “Evaluation and Comparison of MBAC Solutions”, In 36th Annual IEEE Conference on Local Computer Networks (LCN 2011), Bonn, Germany, 2011.
  • Doreid Ammar, Thomas Begin, Isabelle GuĂ©rin Lassous, and Ludovic Noirie, “Measurement-Based Admission Controls: Evaluation and Comparison of Solutions”, 15th Francophone Colloquium on Protocol Engineering (CFIP 2011), Sainte-Maxime, France, 2011.
  • Doreid Ammar, Thomas Begin, and Isabelle GuĂ©rin Lassous, “A New Tool for Generating Realistic Internet Traffic in NS-3”, In the 4th International ICST Conference on Simulation Tools and Techniques (SIMUTools 2011), Barcelona, Spain, 2011.
  • CĂ©dric LĂ©vy Bencheton, Doreid Ammar, Guillaume Villemaud, and Tanguy Risset, “Multi-Mode Relay Simulations: An Energy Evaluation on WSNet”, in Proceedings of the 8th IEEE Radio and Wireless Symposium (RWS 2011), Phoenix, Arizona, USA, 2011.

Books and Theses

  • Doreid Ammar, “Knowledge Plan for Semantic Networks: Application to Admission Control”, PhD Thesis, Claude Bernard University Lyon I, 2013.
  • Doreid Ammar, “Optimisation of Multi-Protocol Power Consumption in Hybrid Networks”, Master’s Thesis, Claude Bernard Lyon I University, 2009.

Software

  • Doreid Ammar, “Network Traffic Generator: Poisson-Pareto Burst Process”, Network Simulator ns-3, Programming language C++, 2011. [Online] Available: http://codereview.appspot.com/4997043/
  • Doreid Ammar and ElyĂšs Ben Hamida, “Radio Propagation: ITU Indoor Propagation Model”, WSNet Network Simulator, Programming language C, 2009. [Online] Available: http://wsnet.gforge.inria.fr/