Michel Toulouse

Lecturer, Department Of Computer Science

Email: michel.toulouse@soict.hust.edu.vn

Web:  https://w1.cirrelt.ca/~toulouse

• Algorithms, discrete optimization
• Distributed applications

• Parallel and distributed algorithms
• Distributed consensus
• Blockchain platforms
• Search algorithms
• Network security (intrusion detection)

Michel Toulouse is a Senior Lecturer at the School of Information and Communication Technology, Hanoi University of Science and Technology (HUST). He received his Ph.D. in Computer Engineering in 1996 from École Polytechnique, Université de Montréal, Canada. His current research interests include parallel and distributed algorithms, combinatorial optimization, search algorithms, distributed consensus algorithms, distributed ledgers (blockchain) and network security. He has held several research grants in Canada, published about 60 referred scientific communications and has contributed to support international scientific activities being in the organization of several international conferences, acting as reviewer, associate editor and guess editor for different journals, being on the board of several Canadian and international scientific organizations to review research proposals.

• Toulouse, B. Q. Minh and Q. T. Minh, Invariant Properties and Bounds on a Finite Time Consensus Algorithm. Transactions on Large-Scale Data and Knowledge-Centered Systems, Vol. 36 (TLDKS), LNCS 11390, Springer Verlag, 2019, pp 32-58.
• K. Dai and M. Toulouse, Lower Bound on Network Diameter for Distributed Function Computation, 6th International Conference on Future Data and Security Engineering, FDSE 2019, Nha Trang, Vietnam, November 27-29, 2019. Published in Lecture Notes in Computer Science, LNCS 11814, pp. 239-251. ISBN 978-3-030-35653-8
• Toulouse and B. Q. Minh, Applicability and Resilience of a Linear Encoding Scheme for Computing Consensus, IoTBDS 2018, 3rd International Conference on Internet of Things, Big Data and Security, Funchal, Madeira, Portugal, March 19-21, 2018. Published in Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security, pp. 173-184. ISBN: 978-989-758-296-7.
• G. Crainic, M. Hewitt, M. Toulouse and M. Vu Duc, Scheduled Service Network Design with Resource Acquisition and Management. EURO Journal on Transportation and Logistics, Vol. 7, No. 3, 2018, pp. 277-309.
• Toulouse, H. Le, C. V. Phung and D. Hock, Defense Strategies against Byzantine Attacks in a Consensus-Based Network Intrusion Detection System. Informatica, An International Journal of Computing and Informatics, Vol. 41, No. 2, 2017, pp. 193-207.
• K. Nguyen, T.G. Crainic and M. Toulouse, Multi-trip Pickup and Delivery Problem with Time Windows and Synchronization. Annals of Operations Research, Vol. 253, No. 2, 2017, pp. 899-934.
• Toulouse, H. Le, C. V. Phung and D. Hock, Robust Consensus-Based Network Intrusion Detection in Presence of Byzantine Attacks, The Seventh International Symposium on Information and Communication Technology, Ho Chi Minh City, December 8-9, 2016. Published in SoICT ’16: Proceedings of the Seventh Symposium on Information and Communication Technology, ISBN: 978-1-4503-4815-7, pages 278-285
• G. Crainic, M. Hewitt, M. Toulouse and M. Vu Duc, Service Network Design with Resources Constraints. Transportation Science, Vol. 50, No. 4, 2016, pp. 1380-1393.
• Toulouse, M.B. Quang, P. Curtis, A Consensus Based Network Intrusion Detection System. The 5th International Conference on IT Convergence and Security (ICITCS2015), Kuala Lumpur, Malaysia, August 24-27, 2015.
• K. Nguyen, T.G. Crainic and M. Toulouse, A Hybrid Generational Genetic Algorithm for the Periodic Vehicle Routing Problem with Time Windows. Journal of Heuristics, Vol. 20, No. 4, 2014, pp. 383-416.

• Best Researcher Award, Vietnamese German University, 2017
• Ranked third most influential researcher in the metaheuristics field among 1559 scientists in a study that measures the contribution to scientific information diffusion and co-authorship activities. (Ref: Juan-Julian Merelo and Carlos Cotta, Building bridges: the role of subfields in metaheuristics, SIGEVOluNewsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 1(4), 2006, pp. 9 – 16)

• Algorithms and data structures
• Theoretical computer science 
• Operating systems
• Artificial intelligence
• Organization of programming languages