Hassan EL ALAMI
Postdoctoral Research Fellow at Howard University, USA
Research Expertise
About
Publications
ECH: An Enhanced Clustering Hierarchy Approach to Maximize Lifetime of Wireless Sensor Networks
IEEE Access / Jan 01, 2019
El Alami, H., & Najid, A. (2019). ECH: An Enhanced Clustering Hierarchy Approach to Maximize Lifetime of Wireless Sensor Networks. IEEE Access, 7, 107142–107153. https://doi.org/10.1109/access.2019.2933052
Energy-efficient fuzzy logic cluster head selection in wireless sensor networks
2016 International Conference on Information Technology for Organizations Development (IT4OD) / Mar 01, 2016
El Alami, H., & Najid, A. (2016, March). Energy-efficient fuzzy logic cluster head selection in wireless sensor networks. 2016 International Conference on Information Technology for Organizations Development (IT4OD). https://doi.org/10.1109/it4od.2016.7479300
Fuzzy Logic Based Clustering Algorithm for Wireless Sensor Networks
International Journal of Fuzzy System Applications / Oct 01, 2017
El Alami, H., & Najid, A. (2017). Fuzzy Logic Based Clustering Algorithm for Wireless Sensor Networks. International Journal of Fuzzy System Applications, 6(4), 63–82. https://doi.org/10.4018/ijfsa.2017100105
Analysis and evaluation of communication Protocols for IoT Applications
Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications / Sep 23, 2020
Sidna, J., Amine, B., Abdallah, N., & El Alami, H. (2020, September 23). Analysis and evaluation of communication Protocols for IoT Applications. Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications. https://doi.org/10.1145/3419604.3419754
Metaverse: Requirements, Architecture, Standards, Status, Challenges, and Perspectives
IEEE Internet of Things Magazine / Mar 01, 2023
Rawat, D. B., & El Alami, H. (2023). Metaverse: Requirements, Architecture, Standards, Status, Challenges, and Perspectives. IEEE Internet of Things Magazine, 6(1), 14–18. https://doi.org/10.1109/iotm.001.2200258
MS‐routing‐G i : routing technique to minimise energy consumption and packet loss in WSNs with mobile sink
IET Networks / Nov 01, 2018
El Alami, H., & Najid, A. (2018). MS‐routing‐G i : routing technique to minimise energy consumption and packet loss in WSNs with mobile sink. IET Networks, 7(6), 422–428. Portico. https://doi.org/10.1049/iet-net.2017.0258
Sefp: A New Routing Approach Using Fuzzy Logic For Clustered Heterogeneous Wireless Sensor Networks
International Journal on Smart Sensing and Intelligent Systems / Jan 01, 2015
ALAMI, H. E., & NAJID, A. (2015). Sefp: A New Routing Approach Using Fuzzy Logic For Clustered Heterogeneous Wireless Sensor Networks. International Journal on Smart Sensing and Intelligent Systems, 8(4), 2286–2306. https://doi.org/10.21307/ijssis-2017-854
Optimization of Energy Efficiency in Wireless Sensor Networks and Internet of Things
Advances in Computer and Electrical Engineering / Jan 01, 2020
El Alami, H., & Najid, A. (2020). Optimization of Energy Efficiency in Wireless Sensor Networks and Internet of Things: A Review of Related Works. In Nature-Inspired Computing Applications in Advanced Communication Networks (pp. 89–127). IGI Global. https://doi.org/10.4018/978-1-7998-1626-3.ch005
EEA
International Journal of Wireless Networks and Broadband Technologies / Jul 01, 2018
El Alami, H., & Najid, A. (2018). EEA: Clustering Algorithm for Energy-Efficient Adaptive in Wireless Sensor Networks. International Journal of Wireless Networks and Broadband Technologies, 7(2), 19–37. https://doi.org/10.4018/ijwnbt.2018070102
CFFL: Cluster formation using fuzzy logic for wireless sensor networks
2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA) / Nov 01, 2015
El Alami, H., & Najid, A. (2015, November). CFFL: Cluster formation using fuzzy logic for wireless sensor networks. 2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA). https://doi.org/10.1109/aiccsa.2015.7507248
(SET) Smart Energy Management and Throughput Maximization
Security Management in Mobile Cloud Computing / Jan 01, 2017
El Alami, H., & Najid, A. (2017). (SET) Smart Energy Management and Throughput Maximization: A New Routing Protocol for WSNs. In Advances in Information Security, Privacy, and Ethics (pp. 1–28). IGI Global. https://doi.org/10.4018/978-1-5225-0602-7.ch001
New Routing Technique to Enhance Energy Efficiency and Maximize Lifetime of the Network in WSNs
International Journal of Wireless Networks and Broadband Technologies / Jul 01, 2020
El Idrissi, N., Najid, A., & El Alami, H. (2020). New Routing Technique to Enhance Energy Efficiency and Maximize Lifetime of the Network in WSNs. International Journal of Wireless Networks and Broadband Technologies, 9(2), 81–93. https://doi.org/10.4018/ijwnbt.2020070105
Instance-based Supervised Machine Learning Models for Detecting GPS Spoofing Attacks on UAS
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) / Jan 26, 2022
Aissou, G., Benouadah, S., El Alami, H., & Kaabouch, N. (2022, January 26). Instance-based Supervised Machine Learning Models for Detecting GPS Spoofing Attacks on UAS. 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC). https://doi.org/10.1109/ccwc54503.2022.9720888
Energy-Aware Clustering and Efficient Cluster Head Selection
International Journal on Smart Sensing and Intelligent Systems / Jan 01, 2021
Nezha, E. I., Abdellah, N., & Hassan, E. A. (2021). Energy-Aware Clustering and Efficient Cluster Head Selection. International Journal on Smart Sensing and Intelligent Systems, 14(1), 1–15. https://doi.org/10.21307/ijssis-2021-019
A New Fuzzy Clustering Algorithm to Enhance Lifetime of Wireless Sensor Networks
Proceedings of the Third International Afro-European Conference for Industrial Advancement — AECIA 2016 / Aug 18, 2017
El Alami, H., & Najid, A. (2017). A New Fuzzy Clustering Algorithm to Enhance Lifetime of Wireless Sensor Networks. In Advances in Intelligent Systems and Computing (pp. 68–76). Springer International Publishing. https://doi.org/10.1007/978-3-319-60834-1_8
Routing-Gi: Routing technique to enhance energy e?ceincy in WSNs
International Journal of Ad Hoc and Ubiquitous Computing / Jan 01, 2017
EL ALAMI, H. (2017). Routing-Gi: Routing technique to enhance energy e?ceincy in WSNs. International Journal of Ad Hoc and Ubiquitous Computing, 25(1), 1. https://doi.org/10.1504/ijahuc.2017.10005521
Multipath-routing based load-balancing in SDN networks
2022 5th Conference on Cloud and Internet of Things (CIoT) / Mar 28, 2022
Chahlaoui, F., Dahmouni, H., & El Alami, H. (2022, March 28). Multipath-routing based load-balancing in SDN networks. 2022 5th Conference on Cloud and Internet of Things (CIoT). https://doi.org/10.1109/ciot53061.2022.9766801
Evaluation of Artificial Intelligence Algorithms for Predicting Power Consumption in University Campus Microgrid
2021 International Wireless Communications and Mobile Computing (IWCMC) / Jun 28, 2021
Hajjaji, I., Alami, H. E., El-Fenni, M. R., & Dahmouni, H. (2021, June 28). Evaluation of Artificial Intelligence Algorithms for Predicting Power Consumption in University Campus Microgrid. 2021 International Wireless Communications and Mobile Computing (IWCMC). https://doi.org/10.1109/iwcmc51323.2021.9498891
Energy Consumption Characterization in University Campus Microgrid Based on Power Data Analysis
2022 9th International Conference on Future Internet of Things and Cloud (FiCloud) / Aug 01, 2022
Hajjaji, I., Alami, H. E., Alami, R. E., & Dahmouni, H. (2022, August). Energy Consumption Characterization in University Campus Microgrid Based on Power Data Analysis. 2022 9th International Conference on Future Internet of Things and Cloud (FiCloud). https://doi.org/10.1109/ficloud57274.2022.00022
Power Consumption Prediction of IoT Application Protocols Based on Linear Regression
International Journal of Artificial Intelligence and Machine Learning / Oct 08, 2021
Jeddou, S., Baina, A., Abdallah, N., & El Alami, H. (2021). Power Consumption Prediction of IoT Application Protocols Based on Linear Regression. International Journal of Artificial Intelligence and Machine Learning, 11(2), 1–16. https://doi.org/10.4018/ijaiml.287585
Joint human and autonomy teaming for defense: status, challenges, and perspectives
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V / Jun 12, 2023
El Alami, H., Nwosu, M., & Rawat, D. B. (2023). Joint human and autonomy teaming for defense: status, challenges, and perspectives. In L. Solomon & P. J. Schwartz (Eds.), Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V. SPIE. https://doi.org/10.1117/12.2665399
Gateways Selection for Integrating Wireless Sensor Networks into Internet of Things
Advances in Intelligent Systems and Computing / Sep 23, 2016
El Alami, H., & Najid, A. (2016). Gateways Selection for Integrating Wireless Sensor Networks into Internet of Things. In Europe and MENA Cooperation Advances in Information and Communication Technologies (pp. 423–430). Springer International Publishing. https://doi.org/10.1007/978-3-319-46568-5_43
On the Study of Joint Naive Bayes and Multi-Layer Perception for Detecting GPS Jamming in UAS
GLOBECOM 2023 - 2023 IEEE Global Communications Conference / Dec 04, 2023
El alami, H., Mensi, N., & Rawat, D. B. (2023, December 4). On the Study of Joint Naive Bayes and Multi-Layer Perception for Detecting GPS Jamming in UAS. GLOBECOM 2023 - 2023 IEEE Global Communications Conference. https://doi.org/10.1109/globecom54140.2023.10437038
Energy-Aware Lightweight PLKG in IMDs: A Deep Dive into the Effects of Channel Fading Models
GLOBECOM 2023 - 2023 IEEE Global Communications Conference / Dec 04, 2023
Mensi, N., El Alami, H., & Rawat, D. B. (2023, December 4). Energy-Aware Lightweight PLKG in IMDs: A Deep Dive into the Effects of Channel Fading Models. GLOBECOM 2023 - 2023 IEEE Global Communications Conference. https://doi.org/10.1109/globecom54140.2023.10437708
Comparative Study of Machine Learning Techniques for Detecting GPS Spoofing Attacks on Mission Critical Military IoT Devices
2023 IEEE International Conference on Communications Workshops (ICC Workshops) / May 28, 2023
El Alami, H., Hall, K., & Rawat, D. B. (2023, May 28). Comparative Study of Machine Learning Techniques for Detecting GPS Spoofing Attacks on Mission Critical Military IoT Devices. 2023 IEEE International Conference on Communications Workshops (ICC Workshops). https://doi.org/10.1109/iccworkshops57953.2023.10283613
Detection of Zero-Day Attacks using CNN and LSTM in Networked Autonomous Systems ‘IEEE CNS 23 Poster’
2023 IEEE Conference on Communications and Network Security (CNS) / Oct 02, 2023
Alami, H. E., & Rawat, D. B. (2023, October 2). Detection of Zero-Day Attacks using CNN and LSTM in Networked Autonomous Systems ‘IEEE CNS 23 Poster.’ 2023 IEEE Conference on Communications and Network Security (CNS). https://doi.org/10.1109/cns59707.2023.10288680
Education
Computer Science and Telecom / January, 2019
Institut National des Postes et Télécommunications
Ph.D, Institut National des Postes et Télécommunications / January, 2019
Experience
University of North Dakota, USA
Postdoctoral Research Fellow / October, 2021 — July, 2022
As a Postdoctoral Research Fellow at the University of North Dakota, USA, from 2021 to 2022, I was actively involved in drafting research proposals and conducting research projects that were centrally focused on artificial intelligence. A key part of my role was the publication of research findings, contributing to the academic community’s understanding of AI and its applications. Additionally, I took on the responsibility of supervising research conducted by undergraduate and graduate students, guiding them through the complexities of their scholarly pursuits in the field.
Postdoctoral Research Fellow / September, 2022 — Present
Since 2022, I have served as a Postdoctoral Research Fellow at Howard University, USA, where my contributions center on conducting original research that intersects cybersecurity and artificial intelligence, with a focus on mission-critical applications such as IoT, UAS, UAV, and CPS. My efforts have led to the publication of research findings in high-impact, peer-reviewed scientific journals and prominent conferences. Part of my responsibilities includes crafting technical and annual reports for our funding agencies. I also have the rewarding opportunity to co-mentor both graduate and undergraduate students, guiding them through their academic and research endeavors.
Postdoctoral fellow and Lecturer / January, 2019 — August, 2021
During my tenure as a Postdoctoral Fellow and Lecturer from February 2019 to April 2020 at INPT in Morocco, I engaged in the co-supervision of Ph.D. students, providing guidance and insight into their research projects. My teaching responsibilities encompassed a range of topics within computer science and engineering, where I imparted both theoretical knowledge and practical skills. In addition to teaching, I dedicated time to writing research proposals, aiming to advance the field through innovative studies. A significant focus of my research was on the optimization of routing protocols within IoT environments, utilizing deep learning techniques to enhance performance. Moreover, I was involved in the design and development of IT solutions, particularly in the burgeoning areas of IoT and micro smart grids, contributing to the technological growth in these domains.
Howard University
Post-Doctoral Fellow / July, 2021 — Present
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