Researcher & Educator

Mohammed
Jouhari

Assistant Professor in Computer Science specializing in cybersecurity, IoT, and artificial intelligence for networked systems.

Faculty of Sciences — Ibn Tofail University, Kenitra, Morocco

+1400
Citations
14
h-index
+20
Publications
55+
Reviews
Get in Touch View Research Scholar Scopus
Mohammed Jouhari
About

Background & Research

I am an Assistant Professor in Computer Science at the Faculty of Sciences, Ibn Tofail University in Kenitra, Morocco. My research sits at the intersection of cybersecurity, artificial intelligence, and the Internet of Things.

I obtained my PhD from Ibn Tofail University in 2019, focusing on underwater wireless sensor networks — MAC layer optimization, topology control, and geographic routing. I then held postdoctoral positions at Qatar University and Mohammed VI Polytechnic University (UM6P), working on AI-driven surveillance and energy-efficient IoT networks.

My current work targets intrusion detection systems for IoT using deep learning, federated learning for industrial cybersecurity, and scalable LoRaWAN architectures. I contribute actively to the community through editorial service, peer review (55+ for IEEE journals), and TPC membership at major IEEE conferences.

Position
Assistant Professor
Institution
Ibn Tofail University
PhD
Mathematics, CS & Applications (2019)
Research
Cybersecurity · IoT · AI/ML · Sensor Networks
ORCID
0000-0001-5406-8594
Scopus
57189074563
Career

Professional Experience

2024 — Present
Assistant Professor
Faculty of Sciences, Ibn Tofail University, Kenitra
Teaching cybersecurity, distributed systems, and intelligent networks. Supervising Master's and doctoral research. Co-organizer of scientific events and workshops.
2023 — 2024
Assistant Professor
EMSI, Tangier
Courses on Unix systems, application security, and virtualization. Supervised final-year projects and contributed to curriculum development.
2021 — 2023
Postdoctoral Researcher
Mohammed VI Polytechnic University (UM6P)
Machine learning for energy-efficient IoT and sensor networks. Published in indexed journals and collaborated with international teams.
2020 — 2021
Postdoctoral Researcher
Qatar University
AI-based methods for drones and intelligent surveillance. Coordinated funded projects and supervised Master's students.
2017 — 2020
Adjunct Lecturer
Ibn Tofail University, Kenitra
Data security, VoIP, and IPv6 courses. Research on underwater wireless sensor networks.
Research Output

Selected Publications

Journal Articles
J1
A lightweight hybrid approach for intrusion detection systems using a chi-square feature selection approach in IoT
H. Benaddi, M. Jouhari, O. Elharrouss
Internet of Things, vol. 32, 2025
IF 7.6
J2
A survey on scalable LoRaWAN for massive IoT: Recent advances, potentials, and challenges
M. Jouhari, E.M. Amhoud, N. Saeed, M.-S. Alouini
IEEE Communications Surveys & Tutorials, vol. 25, no. 3, 2022
IF 33.84
J3
Anomaly detection in industrial IoT using distributional reinforcement learning and GANs
H. Benaddi, M. Jouhari, K. Ibrahimi, J.B. Othman, A. Benslimane, E.M. Amhoud
Sensors, vol. 22, no. 21, 2022
IF 3.847
J4
Robust enhancement of intrusion detection systems using deep reinforcement learning and stochastic game approaches
H. Benaddi, K. Ibrahimi, A. Benslimane, M. Jouhari, J. Qadir
IEEE Trans. on Vehicular Technology, vol. 71, no. 10, 2022
IF 5.978
J5
Distributed CNN inference on resource-constrained UAVs for surveillance systems: Design and optimization
M. Jouhari et al.
IEEE Internet of Things Journal, vol. 9, no. 2, 2021
IF 9.936
J6
Underwater wireless sensor networks: A survey on enabling technologies, localization protocols, and IoUT
M. Jouhari, K. Ibrahimi, H. Tembine, J. Ben-Othman
IEEE Access, vol. 7, 2019
IF 4.098
Conference Papers (selected)
C1
Efficient intrusion detection: Combining χ² feature selection with CNN-BiLSTM on UNSW-NB15
M. Jouhari, H. Benaddi, K. Ibrahimi
IEEE WINCOM 2024
C2
Lightweight CNN-BiLSTM based intrusion detection for resource-constrained IoT devices
M. Jouhari, M. Guizani
IEEE IWCMC, Ayia Napa, Cyprus, 2024
C3
Deep reinforcement learning-based energy efficiency optimization for flying LoRa gateways
M. Jouhari, K. Ibrahimi, J.B. Othman, E.M. Amhoud
IEEE ICC, Rome, Italy, 2023
C4
Analysis of blockchain selfish mining: A stochastic game approach
B. Jebari, M. Jouhari, K. Ibrahimi
IEEE ICC, Seoul, South Korea, 2022
Education

Teaching Experience

Virtualization & Cloud Computing
Master's — Ibn Tofail University (2024/25)
32h
Digital Culture
Bachelor's — Faculty of Law, Ibn Tofail (2024/25)
24h
Application Security
4th Year — EMSI Tangier (2023/24)
32h
Unix Operating Systems
3rd Year — EMSI Tangier (2023/24)
32h
Data Security
Master's — Ibn Tofail University (2017–2022)
82h total
Cross-Platform Development
5th Year — EMSI Tangier (2023/24)
32h
Information Systems Governance
5th Year — EMSI Tangier (2023/24)
32h
VoIP & IPv6
Bachelor's — Ibn Tofail University (2017–2022)
56h total
Community

Scientific Service

📰
Editorial Board
Member of Humanities & Social Sciences Communications (Springer Nature) since 2025. Editorial decisions and peer review coordination.
🔍
55+ Peer Reviews
IEEE IoT Journal (11), IEEE Access (16), IEEE Wireless Communications (3), IEEE Trans. on Communications, TIFS, and more.
🎯
TPC Member
IEEE Globecom (2024–25), ICC, IWCMC (2023–25), WINCOM (2023–25), CommNet (2021–24).
🎤
Track & Session Chair
Workshop on AI-Driven Network Security (EngiTek 2025). Session chair at IEEE IWCMC and WINCOM 2024.
Get in Touch

Contact

Open to research collaborations, joint publications, co-supervision of students, and speaking invitations.

mohammed.jouhari1@uit.ac.ma
+212 6 52 60 31 59
ORCID: 0000-0001-5406-8594
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