Mohamed Moncef Ben Khelifa | Computer Vision | Best Researcher Award

Published on by Computer Science Engineering

Mr. Mohamed Moncef Ben Khelifa | Computer Vision | Best Researcher Award

Associate Professor | University of Toulon France | France

Dr. Mohamed Moncef Ben Khelifa, Maître de Conférences des Universités (HC, 61e CNU) au département MMI de l’IUT de Toulon et membre du laboratoire J-AP2S, est un spécialiste reconnu en vision assistée par ordinateur, intelligence artificielle appliquée à la santé, et interfaces intelligentes homme-machine, avec une expertise consolidée par plus de deux décennies d’enseignement, de recherche appliquée et d’innovation technologique. Titulaire d’une double compétence en traitement du signal et de l’image ainsi qu’en neurotechnologie, il a contribué à un ensemble significatif de travaux portant sur la biométrie, l’optimisation multi-objectifs, la classification d’images médicales, l’analyse prédictive de la marche et les interfaces cerveau-machine, totalisant de nombreuses publications indexées et plusieurs projets collaboratifs internationaux, notamment dans le cadre de coopérations scientifiques franco-tunisiennes. Ses travaux récents portent sur la classification biométrique avancée, l’optimisation par essaims intelligents, l’analyse markerless de la démarche pour la détection des pathologies musculosquelettiques, ainsi que sur la modélisation prédictive des troubles de la posture. En neuroergonomie et en cognition, il a proposé des approches intégrant signaux EEG, indices musculaires et paramètres oculaires afin de mesurer le stress, la fatigue mentale et la charge cognitive dans des environnements immersifs. Son engagement en mobilité assistée est également notable, illustré par ses recherches sur la navigation de fauteuils roulants via la fusion de données cérébrales et visuelles, ainsi que par ses innovations brevetées (France et États-Unis) dédiées au contrôle d’appareils mobiles. Lauréat du Prix Var Terre d’Innovation 2014 pour le projet BEWHEELI – Brain Eyes Wheelchair Interface, il œuvre pour la conception de technologies inclusives visant à améliorer l’autonomie des personnes à besoins spécifiques. Par son rôle de coordinateur de projets transméditerranéens, il contribue activement aux avancées en santé numérique pédiatrique, systèmes embarqués intelligents et traitement multimodal de données cliniques, renforçant l’impact sociétal de ses recherches au service de la santé publique et de l’innovation biomédicale.

Featured Publication

Abellard, A., & Ben Khelifa, M. M. (2004). A Petri net modelling of a neural human–machine interface. In IEEE International Conference on Industrial Technology (ICIT).

Abellard, A., Ben Khelifa, M. M., & Bouchouicha, M. (2005). A Petri net modelling of an adaptive learning control applied to an electric wheelchair. In Computational Intelligence in Robotics and Automation.

Abellard, A., Ben Khelifa, M. M., Bouchouicha, M., & Abellard, P. (2003). Modélisation par réseaux de Petri pour une programmation VHDL. Exemple d’application en robotique mobile d’assistance au handicap. ISDM Journal, 1–7.

Abellard, A., Randria, I., Franceschi, M., Abellard, P., & Ben Khelifa, M. M. (2018). Feasibility study of a technical programme for electric wheelchair steering aid.

Abellard, A., Randria, I., & Ben Khelifa, M. M. (2006). Utilisation des réseaux de Petri architecturaux pour la modélisation des algorithmes de commande d’une plateforme technologique d’aide aux handicapés. In SETIT 2005.

Dr. Ben Khelifa’s work bridges artificial intelligence, neurotechnologies, and predictive biomechanics to design inclusive solutions for healthcare and mobility assistance. His research drives innovation in pediatric digital health, assistive robotics, and multimodal clinical data analysis, improving quality of life for populations with specific needs.

Sirous Rafiei Asl | Computer Vision | Best Researcher Award

Published on by Computer Science Engineering

Dr. Sirous Rafiei Asl | Computer Vision | Best Researcher Award

Medical Student | Ahvaz Jundishapur University of Medical Sciences | Iran

Dr. Safa Najafi’s research focuses on the intersection of medical education and parasitology, with particular attention to Leishmaniasis and other parasitic diseases prevalent in tropical and subtropical regions. Her work emphasizes evaluating medical students’ knowledge, awareness, and performance toward parasitic infections to identify gaps that hinder effective disease prevention and control. Through descriptive and analytical studies, she explores the relationship between demographic factors, clinical exposure, and academic performance in shaping medical students’ understanding of zoonotic diseases such as Leishmania infections. The findings of her research highlight that enhanced awareness and practical performance among future healthcare professionals play a critical role in public health preparedness and vector control strategies. Safa Najafi also investigates behavioral and environmental determinants of disease transmission and advocates for integrating targeted educational programs, including mobile-based learning and seminar-based interventions, into medical curricula to strengthen clinical competencies and promote early prevention. Her studies contribute to developing evidence-based strategies to reduce leishmaniasis transmission by bridging the gap between theoretical knowledge and field application. By analyzing key epidemiological factors, her research supports the design of culturally relevant training programs that empower medical students and healthcare providers to adopt preventive practices effectively. This work aligns with broader goals in global health to mitigate the burden of parasitic diseases through informed medical practice and community education. Overall, her research advances understanding of how educational approaches can shape health behavior and influence disease outcomes, reinforcing the significance of awareness, attitudes, and practices in sustainable disease management. Safa Najafi’s scholarly contributions are reflected in her academic record, with 2 Citations, 3 Documents, and an h-index of 1. View h-index.

Profiles: Google Scholar |  Scopus | ORCID
Featured Publication

Elahi, R. K., Asl, S., & Shahian, F. (2013). Study on the effects of various doses of Tribulus terrestris extract on epididymal sperm morphology and count in rat. Iranian Journal of Reproductive Medicine, 11(3), 207–212. Citations: 46

Mahdavinia, M., Alizadeh, S., Vanani, A. R., Dehghani, M. A., Shirani, M., et al. (2019). Effects of quercetin on bisphenol A-induced mitochondrial toxicity in rat liver. Iranian Journal of Basic Medical Sciences, 22(5), 499. Citations: 18

Moradi, M., Montazeri, E. A., Rafiei Asl, S., Pormohammad, A., Farshadzadeh, Z., et al. (2025). In vitro and in vivo antibacterial and antibiofilm activity of zinc sulfate (ZnSO₄) and carvacrol (CV) alone and in combination with antibiotics against Pseudomonas aeruginosa. Antibiotics, 14(4), 367. Citations: 5

Rafiei-Asl, S., Gh., K., Jalali, S. M., Jamshidian, J., & Rezaie, A. (2021). Protective effects of bromelain against cadmium-induced pulmonary intoxication in rats: A histopathologic and cytologic study. Archives of Razi Institute, 76(5), 1427–1436. Citations: 3

Rafiei-Asl, S., Khadjeh, G., Jalali, S. M., Jamshidian, J., & Rezaie, A. (2020). Investigating the protective effects of bromelain against inflammatory marker alterations induced by cadmium pulmonary intoxication in rat. Iranian Veterinary Journal, 16(2), 75–88. Citations: 3