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Courriel: dhaou.said@uqo.ca
Gatineau - Pavillon Lucien-Brault
101, rue Saint-Jean-Bosco
Gatineau Québec Canada
J8X 3X7

Dhaou Said Ph.D

Dhaou Said, Two Ph.D. Degrees  in  Autonomous Networks & Computer Sciences / Electrical & Computer Engineering,

Visionary, Strategic, Research, Innovation Development leading

  • Recipient of FRQNT Postdoctoral research scholarship: Fond de Recherche de Québec Nature –Technologies (FRQNT) 2016-2019.

  • + More than 51Scientific Publications (IEEE Transactions, IEEE Surveys, IEEE Magazine, IEEE Conferences, IET, etc.) 

  • +5 ans post-doctoral at U. Ottawa, 

  • +10 years of experience in R&D: Cybersecurity, AI/ML, Reinforcement Learning, Quantum Computing, IoT, BLOCKCHAIN,  WEB 3.0 / WEB 4.0; METAVERSE,  Smart Grid, IoT, Electric Vehicle. 

  • +10 years of teaching at Canadian Unversities. 

Editor of the book : Cybersecurity and Quantum Computing in Metaverse: Opportunities and Challenges.

https://scholar.google.ca/citations?user=1Q1JPIkAAAAJ&hl=en 

DOMAINES DE SPÉCIALISATION

 

  1.  Cybersecurity for Metaverse

  2. Quantum Computing for Artificial Intelligence

  3. Technology Convergence (IoT, Blockchain, AI, XR, Web 3/4, etc.) 

 

Skills: 

  • Strong knowledge of mathematics, probability, statistics and algorithms.

 

  • Data Protection, Cloud Security, IoT Security, AI and ML Security

     

  • Cybersecurity (Cyber-Defense, Cyber-Response, Cyber-Management, Threat Intelligence, and Threat Management, Privacy, Cyber-attacks, Threat vulnerabilities, Cyber-criminals, FDIA, DDoS, Ransomware/crypto, Digital Justice).

  • Information Security and Privacy.

  • Protocols of cybersecurity: AMI-Sec, NERC CIP, NISTIR, IEC 62351, ISOIEC 27001-27002, NIST SP 800-82 FAIR, OCTAVE.

  • Security and cryptography.

  • Advanced Cybersecurity models for Metaverse

     

  • Quantum Computing for Machine Learning Models.

  • Quantum Q-Learning, QSVM, Quantum Key Distribution (QKD), Q# (Q sharp) and Quantum Computation Language (QCL), Qiskit (IBM Q).

  • Quantum Algorithm design: Quantum Key Distribution (QKD), Quantum Security (QS) and Quantum Cryptography

  • Quantum Error correction and Fault Tolerance (bit and phase flip)

  • Quantum Network Simulator (QNSim)

     

  • Metaverse, AR, VR, MR, XR, Digital Twins

  • Web 3.0

     

  • Blockchain,

  • Decentralized Architecture, Smart Contract, 

  •  

  • Artificial Intelligence/Machine Learning (Reinforcement Learning, Q-Learning, SARSA, SVM, KNN, ELM, Deep Learning, ANN, etc.), Protocols for Classification, Forecasting, Nowcasting optimization schemes, FFNN schemes.

  • Experience working in an AI research environment.

  • Decentralized Machine Learning- Federated Learning for Data Privacy.

  • Building and deploying ML models and AI-powered solutions on a cloud computing platform,

  • Training, validating and running modern, deep learning, natural language processing models (transformers, RNN techniques, etc.) using well-known deep learning frameworks (TensorFlow, PyTorch) and libraries (HuggingFace transformers, AllenNLP, etc.),

  • Python and related DS libraries such as pandas, scikit-learn, numpy, nltk and spaCy,

  • Microservice architecture, serverless computing technologies, API design and implementation.

  • Docker, Bash scripting and CloudFormation, Cloud Computing, Virtualization, Dockers/Containers/Kubernetes, cloud/fog/edge-based software systems/applications, web, mobile apps, Network Function Virtualization and Software Defined Networks. 

  • Game Theoretic Models: Design & Optimization,

  • IoT and sensors Management. 

  • Smart governance, 

  • Fintech, Non-Fungible Tokens,

  • Big Data, Data Analytics, 

     

  • Intelligent Transportation Systems (ITS), 

  • Electric Vehicle, 

  • Mobility & Transportation Electrification, Autonomous Connected Electric Vehicle (ACEV).

    Decentralized FPGA,

  • Object-Oriented Programming (OOP) best practices and design principles.

  • Software Project Management & Scrum Master: GitHub/TortoiseGit.

FORMATION

 

Doctor of Philosophy, Computer Science: Autonomous Networks, Knowledge, Organization (ANKOR), University of Technology of TROYES (UTT), France,  (result: A+).

Doctor of Philosophy, Electrical & Computer Engineering,  University of Sherbrooke, QC, CANADA , (result : A+).

Master of Science, Communication Systems,  National Engineering School of Tunis.

Bachelor (5 years : 2 years prepa + 3 Eng Studies), Industrial Informatics & Electrical Engineering ,  National Engineering School of Tunis.

ENSEIGNEMENT

 

  1. CYB1103 Gr.  01: Cybersecurity Governance & Risk Management.

  2. INF4523 Gr.  01: Computer Networks 

  3. Recently, I gave a very important seminar at the Université of Vaasa, Finland, Dec. 03, 2024, titled: “Quantum Computing for Cybersecurity in Metaverse: Challenges and Opportunities”, for undergraduate, master's and doctoral students (see the following link: https://inforte.jyu.fi/events/quantum-computing-for-cybersecurity-in-metaverse-challenges-and-opportunities ).

RECHERCHE
Scientific Publications 

[J22] D. Said et al., Quantum Entropy and Reinforcement Learning for Distributed Denial of Service Attack Detection in Smart Grid”, in IEEE Access , vol. 12, pp. 129858-129869, 2024, doi: 10.1109/ACCESS.2024.3441931.

[J21] Said, D. et al., Quantum Computing and Machine Learning for Cybersecurity: Distributed Denial of Service (DDoS) Attack Detection on Smart Micro-Grid. IEEE Energies 2023, 16, 3572. https://doi.org/10.3390/en16083572. 

[J20] D. Said, M. Elloumi, L. Khoukhi, "Cyber-Attack on P2P Energy Transaction between Connected Electric Vehicles: A False Data Injection Detection based Machine Learning Model," in IEEE Access, vol. 10, pp. 63640-63647, June 2022, doi: 10.1109/ACCESS.2022.3182689.

[J19] D. Said,"A Decentralized Electricity Trading Framework (DETF) for Connected EVs: A   Blockchain and Machine Learning for Profit Margin Optimization," in IEEE Transactions on Industrial Informatics, vol. 17, no. 10, pp. 6594-6602, Oct. 2021, doi: 10.1109/TII.2020.3045011.

[J18] D. Said, “A Survey on Information Communication Technologies in Modern Demand Side Management for Smart Grids: Challenges, Solutions, and Opportunities”, IEEE Engineering Management Review, Doi: 10.1109/EMR.2022.3186154, June 2022.

[J17] D. Said,"Intelligent Photovoltaic Power Forecasting Methods for a Sustainable Electricity Market of Smart Micro-Grid," in IEEE Communications Magazine, vol. 59, no. 7, pp. 122-128, July 2021, doi: 10.1109/MCOM.001.2001140.

[J16] D. Said et al., “A Novel Electric Vehicles Charging/Discharging Management Protocol Based on Queuing Model”, IEEE Transactions on Intelligent Vehicles  (TIV), 2020, vol. 5, no. 1, pp. 100-111, March 2020.

[J15] D. Said, et al., “Novel Communication Protocol for the EV Charging/Discharging Service Based on VANETs”, IEEE Transactions on Intelligent Vehicles  (TIV), 2017, vol. 2, no. 1, pp. 25-37, March 2017.

[J14] I. Khabbouchi, D. Said, A. Oukaira, I. Mellal, L. Khoukhi, “Machine Learning and Game-Theoretic Model for Advanced Wind Energy Management Protocol (AWEMP)”, Energies 2023, 16(5), 2179; https://doi.org/10.3390/en16052179 - 24 Feb 2023.

[J13] M. Hrouga, D. Said,  “A framework toward a SCOR Model 4.0 based on Digital Technologies for a Smart Supply Chain”, Digital Supply Chain Management Journal, 2024, https://doi.org/10.1080/12507970.2024.2400888

 [J12] A. Oukaira, D. Said, D E. Touati, N. El-Zarif, M. Hassan, Y. Savaria and A. Lakhssassi, “Novel Peak-Source-Scanning (NPSS) Model for Thermal Control of Systems-in-Package (SiP)”, IEEE  Access, Sep. 2024, , doi: 10.1109/ACCESS.2024.3469950.

[J11] A. Oukaira, D. Said, J. Zbitou, R. Fontaine and A. Lakhssassi,” LabPET II Scanner Performances Improvement: Thermal Stability Control Based on FPGA“, Elsevier, Nov. 2023, Elsevier's e-Prime - Advances in Electrical Engineering, Electronics and Energy. 

[J10]A. Oukaira, D. Said, I. Mellal, J. Zbitou and A. Lakhssassi, “Thermal Camera for System-in-Package (SiP) Technology: Transient Thermal Analysis based on FPGA and Finite Element Method (FEM)”, AEUE - International Journal of Electronics and Communications, Elsevier, Oct. 2023.

[J9] A. Oukaira, D. Said, J. Zbitou and A. Lakhssassi, "New Approach for Systems in Packaged (SiP) Technology Thermal Management Based on Finite Element Method (FEM)" Electronics, 2023. https://doi.org/10.3390/en. 

[J8] Aourik, S.; Errkik, A.; Oukaira, A.; Said, D.; Zbitou, J.; Lakhssassi, A. An Advanced Array Configuration Antenna Based on Mutual Coupling Reduction. Electronics 2023, 12, 1707. https://doi.org/10.3390/electronics12071707.

[J7] M. BenHariz and D. Said and H. T. Mouftah, “A Dynamic Mobility Traffic Model Based on Two Modes of Transport in Smart Cities”, Smart Cities, Feb. 2021, 4(1), pp. 253-270; https://doi.org/10.3390/smartcities4010016 (registering DOI).

[J6] T. G. Alghamdi, D. Said and H. T. Mouftah, "Profit Maximization for EVSEs-based Renewable Energy Sources in Smart Cities with Different Arrival Rate Scenarios," in IEEE Access, April 2021 doi: 10.1109/ACCESS.2021.3070485.

[J5] M. BenHariz, D. Said and H.T. Mouftah “Game Theoretic Approach for Public Multi-Mode Transportation in Smart Cities”, IET Networks 2021, Vol. 10, Issue 5, pp 201-216, doi: 10.1049/ntw2.12025.

[J4] M. BenHariz, D. Said and H.T. Mouftah  “Decentralized Game-Theoretic Management for a Community-Based Transportation System”, accepted in IET Smart Cities,  Vol. 2, Issue 4, December 2020, pp. 181-190; DOI:  10.1049/iet-smc.2020.0046. 

[J3] T. Alghamdi, D. Said and H.T. Mouftah “Decentralized Game-Theoretic (D-GT) Scheme for D-EVSE based on Renewable Energy in Smart Cities: A Realistic Scenario”, in IEEE Access, vol. 8, pp. 48274-48284, 2020.

[J2] T. Alghamdi and D. Said, “Decentralized Electric Vehicle Supply Stations (D-EVSSs): A Realistic Scenario for Smart Cities”, IEEE Access Journal 2019, vol. 7, pp. 63016-63026, 2019.

[J1] D. Said, S. Cherkaoui, L. Khoukhi, “Multi-Priority Queuing for EVs Charging at Public Supply Stations with Price Variation”, Journal Wireless Communication and Mobile Computing (WCM) 2014, Wirel. Commun. Mob. Comput. (2014), John Wiley. DOI: 10.1002/wcm.2508. 

[C22] D. Said et al.,” Cybersecurity Based on Converged Form of Blockchain, Internet-of-Things and Machine Learning in Smart Micro-Grid”, ICCIMS 2024 IEEE proceedings, 26-31-July, 2024.

[C21] D. Said, and M. Elloumi, "A New False Data Injection Detection Protocol based Machine Learning for P2P Energy Transaction between CEVs," 2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM), Tunis, Tunisia, 2022, pp. 1-5, doi: 10.1109/CISTEM55808.2022.10044067.

[C20] I. Khabbouchi, D. Said and A. Oukaira, “Advanced Machine Learning and Game Theoretic Model for Wind Energy Management Protocol (AWEMP)”,the 13th IEEE International Renewable Energy Congress (IREC 2022).

[C19] M. Hrouga, D. Said, “A new Supply Chain Model Based on Combination of Blockchain Technology and Game Theoretical: a conceptual framework “, 2 nd Edition of the International Conference on Sustainable Business Practices in a VUCA World - ICSBP2024 May 9th – 10th, 2024, Rabat – Morocco, accepted.

[C18] A. Oukaira, D. Said, J. Zbitou and A. Lakhssassi, "Finite Element Method for System-in-Package (SiP) Technology: Thermal Analysis Using Chip Cooling Laminate Chip (CCLC)," 2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM), Seoul, Korea, Republic of, 2023, pp. 1-5, doi: 10.1109/IMCOM56909.2023.10035652.

[C17] A. Oukaira, D. Said, J. Zbitou and A. Lakhssassi, "Transient Thermal Analysis of System-in-Package Technology by the Finite Element Method (FEM)," 2022 International Conference on Microelectronics (ICM), Casablanca, Morocco, 2022, pp. 30-33, doi: 10.1109/ICM56065.2022.10005514.

[C16] T. G. Alghamdi, D. Said and H. T. Mouftah, "Profit Maximization for EVSEs-based Solar Energy in Smart Cities," 2021 International Wireless Communications and Mobile Computing (IWCMC), 2021, pp. 1575-1580, doi: 10.1109/IWCMC51323.2021.9498933.

[C15] M. Bin Hariz, D. Said and H. T. Mouftah, "Game Theoretic Approach for a Multi-Mode Transportation in Smart Cities," 2020 International Symposium on Networks, Computers and Communications (ISNCC), Montreal, QC, 2020, pp. 1-6.

[C14] T. G. Alghamdi and D. Said, "Decentralized Game-Theoretic Approach for D-EVSE based on Renewable Energy in Smart Cities," ICC 2020 - 2020 IEEE International Conference on Communications (ICC), Dublin, Ireland, 2020, pp. 1-6, DOI: 10.1109/ICC40277.2020.9148718. 

[C13] T. Alghamdi and D. Said, “Decentralized Energy Storage System for EVs Charging and Discharging in Smart Cities Context”, IEEE ICC2019, Shanghai, China, 2019, pp. 1-5.

[C12]M. BenHariz and D. Said, ‘Mobility Traffic Model based on the combination of multiple transportation forms in Smart City’’, IEEE IWCMC 2019, Tangier, Morocco, 2019, pp. 14-19.

[C11] D. Said and H. T. Mouftah, "A Novel Electric Vehicles Charging/Discharging Scheme with Load Management Protocol," 2017 IEEE International Conference on Communications (ICC), Paris, 2017, pp. 1-6, doi: 10.1109/ICC.2017.7997117.

[C10] C.D.AbdEldjalil, D. Said, L. Khoukhi, H.T. Mouftah, “A novel pricing policy for G2V and V2G services”, IEEE CCNC 2017: 634-635.

[C9] C.D.AbdEldjalil, D. Said, L. Khoukhi, H.T. Mouftah, ‘’Dynamic pricing model for EV charging-discharging service based on Cloud Computing scheduling’’, IEEE IWCMC 2017, PP. 1010-1015.

[C8] A. Ahmed, A.Alkheir, D. Said, H.T.Mouftah, ‘’ Decision-Based Cooperative Spectrum Sensing Using Random Medium Access”, IEEE CCECE 2016.

[C7] A. Ahmed, A.Alkheir, D. Said, H.T.Mouftah, ‘’ Cooperative Spectrum Sensing for Cognitive Radio Vehicular Ad Hoc Networks: An Overview and Open Research Issues”, IEEE CCECE 2016.

[C6] D. Said, H.T.Mouftah, ‘’ Flexible Charging and Discharging Algorithm for Electric Vehicles in Smart Grid Environment”, IEEE Wireless Communications and Networking Conference (IEEE WCNC 2016), 2016, pp. 1-6, doi: 10.1109/WCNC.2016.7565123.

[C5] D. Said, S. Cherkaoui, L. Khoukhi, “Guidance Model for EV Charging Service”, Proceedings of IEEE ICC 2015, London, UK, Jun 8th-Jun 12th, 2015, pp. 5765-5770, doi: 10.1109/ICC.2015.7249241.

[C4] D. Said, S. Cherkaoui, L. Khoukhi, “Scheduling Protocol with Load Management for EV Charging”, Proceedings of IEEE GLOBECOM 2014, Texas, Austin, USA, December 8th- December 12th, 2014, pp. 362-367, doi: 10.1109/GLOCOM.2014.7036835.

[C3] D. Said, S. Cherkaoui, L. Khoukhi, “Queuing model for EVs Charging at public supply stations”, Proceedings of IEEE IWCMC 2013, Cagliari, July 1st-5th, 2013, pp. 65-70, doi: 10.1109/IWCMC.2013.6583536.

[C2] D. Said, S. Cherkaoui, L. Khoukhi, “Advanced Scheduling Protocol for Electric Vehicle Home Charging with Time-of-Use Pricing”, Proceedings of IEEE ICC 2013, Budapest, Jun 9th-Jun 13th 2013, pp. 6272-6276, doi: 10.1109/ICC.2013.6655612.

[C1] J. Rezgui, S. Cherkaoui, D. Said, “A Two-Way Communication Scheme for Vehicles Charging Control in the Smart Grid”, Proceedings of IEEE IWCMC 2012, Cyprus, Aug 27th-30th, 2012, pp. 883-888, doi: 10.1109/IWCMC.2012.6314321.

Published Book Chapters 

[BC2] D. Said, H.T. Mouftah, “Channel access modelling for EV charging/discharging service through Vehicular Ad hoc Networks (VANETs) communications”, CRC book, titled: “Transportation and Power Grid in Smart Cities: Communication Networks and Services”, ISBN: 978-1-119-36008-7, Wiley, 2018.

[BC1] D. Said, S. Cherkaoui, L. Khoukhi, “Scheduling Protocol for Electric Vehicle Home Charging’’, CRC book, titled: Smart Grid: Networking, Data Management, and Business Models, ISBN 978-1-498-71970-4 - CAT# K2550; CRC Press 2016.                                                                                       

Book Edition 

Editor of the Bentham Science book titled: 

“Cybersecurity and Quantum Computing in Metaverse: Opportunities and Challenges”.

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