LaetEquipePost-doctorantsGharrad Hana

GHARRAD Hana

Post-doctorante

Short Biography

Hana Gharrad is a Researcher in Sustainable Urban Mobility at LAET-Transportation Urban Planning Economics Laboratory, ENTPE-Ecole Nationale des Travaux Public l’Etat Lyon, France. She obtained her PhD in Transportation Science from Transportation Research Institute (IMOB), Hasselt university Belgium and her master degree in Statistics and Data Science from Data science Institute (DSI) , Hasselt university Belgium . Her research work focuses on Sustainable Urban Mobility, Smart Cities, Intelligent Transportation System and Data-driven solutions. She contributed to research projects like Search and Rescue (Horizon Europe 2020) and RAISE (Research Analysis Identifier System).

Ph.D in Transportation Sciences, IMOB, UHasselt, Belgium

– Dissertation: Multi-Dimensional Internet of Drones Framework for Smart City Applications: a five-stage methodology to develop a collaborative drone architecture, enabling drones to switch between selfish and collaborative behaviors while addressing uncertainty, dynamic regulations, and mission efficiency.

Research Interests
Urban Mobility, Sustainable Mobility, Inclusive Mobility, Smart Cities, Intelligent Transport Systems, Data-driven solutions, Artificial Intelligence, Data Analysis, IoT, Multi agent systems.

Publications

Gharrad, H., Jabeur, N., Sheltami, T. & Yasar, A.(2024) Runtime norms regulation framework for drones’ smart cities applications 8th EAI International Conference on Intelligent Transport Systems https://doi.org/10.1007/978-3-031-86370-7_17
Gharrad, H., Yasar, A. , Ectors, W. & Jabeur, N. (2024). Simulating Collaborative and Au- tonomous Persistent Surveillance by Drones for Search and Rescue Operations Smart Mobility and Logistics Ecosystems https://doi.org/10.1016/j.trpro.2025.03.065
Al Abri, K., Jabeur, N., Gharrad, H., & Yasar, A. (2023). An intelligent divide-and-conquer approach for driving style management. Personal and Ubiquitous Computing, 27, 1–18. https://doi.org/10.1007/s00779-023-01740-1
Benekos, I., Bekiaris, E., Wodniak, K., Serhan, W., Sułkowski, Ł., Gharrad, H., & Yasar, A. (2022). Correction to: A proposed methodological approach for considering community resilience in technology development and disaster management pilot testing. International Journal of Disaster Risk Science, 13, 1–1. https://doi.org/10.1007/s13753-022-00422-5
Gharrad, H., Jabeur, N., & Yasar, A. U.-H. (2022). Hierarchical analysis process for belief man- agement in internet of drones. Sensors, 22 (16). https://doi.org/10.3390/s22166146
Zekri, S., Jabeur, N., & Gharrad, H. (2022). Smart water management using intelligent digital twins. Computing and Informatics, 41, 135–153. https://doi.org/10.31577/cai_2022_1_135
Haddad, H., Bouyahia, Z., Horchani, L., Jabeur, N., & Gharrad, H. (2022). A connected mobility scheme for taxi supply-demand balancing in a smart city context. Computing and Informatics, 4, 550–570. https://doi.org/10.31577/cai_2022_2_550
Gharrad, H., Jabeur, N., Yasar, A. U.-H., Galland, S., & Mbarki, M. (2021). A five-step drone collaborative planning approach for the management of distributed spatial events and vehicle no- tification using multi-agent systems and firefly algorithms. Computer Networks, 198, 108282. https://doi.org/10.1016/j.comnet.2021.108282
Outay, F., Jabeur, N., Haddad, H., Bouyahia, Z., & Gharrad, H. (2021). Toward an intelligent driving behavior adjustment based on legal personalized policies within the context of connected vehicles. Frontiers in Built Environment. https://doi.org/10.3389/fbuil.2021.686732
Gharrad, H., Jabeur, N., Yasar, A. U.-H., Al Abri, K., El Hansali, Y., & Kochan, B. (2021, January). Enabling drones collaboration in its applications using a BDI architecture based on a 5-dimensional. https://doi.org/10.1007/978-3-030-63128-4_5
Guntuka, S., Shakshuki, E., Yasar, A.-U.-H., & Gharrad, H. (2020). Vehicular data offloading by roadside units using intelligent software defined network. Procedia Computer Science, 177, 151–161. https://doi.org/10.1016/j.procs.2020.10.023
Jabeur, N., Al-Belushi, T., Mbarki, M., & Gharrad, H. (2017). Toward leveraging smart logistics collaboration with a multi-agent system based solution. Procedia Computer Science, 109, 672–679. https://doi.org/10.1016/j.procs.2017.05.374

Contributions to research projects

2025: SmartUrbanity: Enhancing accessibility, inclusivity, security, and navigability through a citizen-centric digital framework. SmartUrbanity aims to revolutionize urban planning by enhancing accessibility, inclusivity, security, and navigability through a citizen-centric digital framework. This initiative seeks to dismantle barriers to active, proximity-based living by integrating citizens into the planning process and facilitating the transformation into 15-minute cities. The proposed approach advances beyond models like GOAT and WeCount, using up-to-date granular data and sophisticated methodologies such as machine learning algorithms and agent-based simulations. https://www.smarturbanity.com
2024: Research Analysis Identifier System (RAISE): Providing mechanisms for a distributed crowd- sourced data processing system, moving from open data to data open for processing. RAISE aspires to build a trustful and transparent environment where research communities can share and process data as conveniently as possible in order to reduce time-to-result and increase productivity. With RAISE, the researchers can publish their outcomes with evidence-based authenticity of the data-analysis performed, ensuring at the same time accreditation of their work. https://raise-science.eu/
2020: Search and Rescue: Emerging technologies for early localization of entrapped victims and advanced wearables for risk assessment and first responders’ safety in SAR operations. The key objective of S&R is to develop and promote the underlying framework (interoperability among systems and equipment, training and awareness) so that responders at all levels of command have access, familiarize and evaluate innovative solutions. Through a series of large-scale pilot scenarios, this EU-funded Search and Rescue project designed, implemented, and tested a highly interoperable open architecture platform for first responders, including advanced front-end equipment systems and backend applications, improving the decision-making of first responders and providing a dynamic common operational picture of the crisis. https://search-and-rescue.eu

Other Scholarly Activities

Workshop Public Safety Communication Europe Forum AISBL (PSCE) End-User Requirements and Beyond – Presentation of the GAP: Analysis survey and results
Pilot: Use Case Trial as part of the European Union’s Horizon 2020 Project Search and Rescue.

Teaching

Teaching Assistant at Transportation Research Institute (IMOB), Hasselt University, Belgium: Intelligent Solutions in Transportation (IST)
Teaching Assistant at German University of Technology in Oman: Data Structure, Database Systems, Mobile Applications, Topics in Applied Computer Science, Internet of Things, Machine Learning, Web development, Data analysis
Teaching Assistant at Higher Institute of Applied Science and Technology of Sousse: Operating systems, Mobile applications, Theory of Computation

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Gharrad Hana

SciProfiles : hana-gharrad
ResearcherId : Hana-Gharrad
ORCID : 0000-0003-3914-4290
Google Scholar : https://scholar.google.com/citations?user=ahiiJWEAAAAJ&hl=en

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