RISE at University of Sharjah, United Arab Emirates.
Dr. Adel Oulefki is a distinguished researcher with a Ph.D. in Computer Science and honors from the University of Bordj Bou Arréridj, Algeria, and an HDR accreditation from IGEE. His academic and professional journey includes significant roles at the Centre de Développement des Technologies Avancées (CDTA) and the University of Sharjah, focusing on computer science and engineering applications in medical, environmental, and security fields. His expertise spans signal and image analysis, data clustering, and pattern recognition. Dr. Oulefki has led innovative projects such as developing algorithms for lung tumor analysis and COVID-19 visualization using virtual reality. His work, recognized with awards like the Best Scientific Work on COVID-19, showcases his contributions to environmental health and waste management through advanced technology. His scholarly output includes numerous publications in prestigious journals and contributions to international conferences.
Dr. Adel Oulefki holds an extensive academic background with degrees that underline his expertise in electrical engineering and computer science. He earned his Bachelor’s degree in Industrial Computing from the University of Bordj Bou Arréridj in 2007, where he focused on implementing VHDL designs on FPGA. He continued his studies at the same institution, achieving a Master’s degree in Electrical Engineering in 2009, with a thesis on voice codec implementation. Dr. Oulefki completed his Ph.D. in Computer Science at the University of Bordj Bou Arréridj in 2014, with research centered on real-time video classification. In 2018, he obtained an HDR (Habilitation à Diriger des Recherches) from the Institute of Electrical Engineering and Electronics (IGEE), enabling him to supervise research and further his academic contributions. His educational journey underscores his commitment to advancing knowledge in his field.
Dr. Adel Oulefki has a distinguished career in research and academia, with a Ph.D. in Computer Science from the University of Bordj Bou Arréridj, Algeria, and a habilitation degree from IGEE. Since 2016, he has been a senior researcher at the Centre de Développement des Technologies Avancées (CDTA), leading significant projects in machine vision and image processing. His roles include Research Director at CDTA, where he supervised Ph.D. students and led research on algorithms for lung tumor analysis. Currently, as a Postdoctoral Research Fellow at the University of Sharjah, he focuses on smart buildings and digital twins technology. Dr. Oulefki’s previous positions include Fulbright Visiting Scholar at CUNY, a Scientific Council member at CDTA, and various roles in teaching and research across multiple institutions, including a visiting scholar stint at Università degli Studi di Trento.
Dr. Adel Oulefki’s research interests are primarily at the intersection of computer science and engineering, focusing on applications in medical, environmental, and agronomic fields. He specializes in signal, image, and video analysis, leveraging advanced techniques in data clustering and pattern recognition. His work includes developing algorithms for image recognition and processing, with notable contributions to medical imaging and environmental monitoring. Dr. Oulefki is particularly engaged in projects related to smart buildings and smart cities, utilizing Digital Twins technology for urban innovation. His research also addresses critical environmental challenges, such as COVID-19 impact analysis and oil spill detection through thermal imagery. With a strong emphasis on applied research, Dr. Oulefki’s projects frequently involve collaborations across disciplines and institutions, aiming to enhance both technological capabilities and practical solutions in various sectors.
Dr. Adel Oulefki possesses a diverse and robust skill set in research, particularly within the domains of signal, image, and video analysis. His expertise in developing advanced algorithms for image recognition and processing, as well as his proficiency in data clustering and pattern recognition using RGB cameras and thermal sensors, underscores his strong technical capabilities. Dr. Oulefki’s skills extend to applied research in smart buildings and smart cities, leveraging Digital Twins technology to enhance urban living. He is adept at supervising Ph.D. students and managing research projects, including the development of innovative solutions for lung tumor analysis and COVID-19 visualization. His command of various programming languages and software tools, such as MATLAB and Python, complements his analytical prowess, enabling him to tackle complex research problems and contribute to significant advancements in his field. Dr. Oulefki’s ability to bridge theoretical concepts with practical applications demonstrates his comprehensive research acumen.
Awards and Recognition
Dr. Oulefki has received several prestigious awards and recognitions, including the Best Scientific Work on COVID-19 and the Fulbright Visiting Researcher award. These accolades reflect his exceptional contributions to environmental engineering and related fields.
Conclusion
Dr. Adel Oulefki’s research has significantly impacted environmental engineering through innovative applications of imaging technologies. His contributions to environmental health, vector control, and infectious disease management, coupled with his collaborative efforts and international recognition, make him a highly deserving candidate for the Research for Environmental Engineering Impact Award.
Publications Top Notes
- Dataset of IoT-Based Energy and Environmental Parameters in a Smart Building Infrastructure
- Authors: Oulefki, A., Amira, A., Kurugollu, F., Soudan, B.
- Year: 2024
- Citations: 0
- Assessing the Effectiveness of Virtual Reality Serious Games in Post-Stroke Rehabilitation: A Novel Evaluation Method
- Authors: Masmoudi, M., Zenati, N., Izountar, Y., Oulefki, A., Hamitouche, C.
- Year: 2024
- Citations: 0
- Detection and Analysis of Deteriorated Areas in Solar PV Modules Using Unsupervised Sensing Algorithms and 3D Augmented Reality
- Authors: Oulefki, A., Himeur, Y., Trongtirakul, T., Atalla, S., Mansoor, W.
- Year: 2024
- Citations: 0
- MEMS-Based Microheater with Virtual Reality for Enhanced Thermal Feedback in Medical Applications
- Authors: Bakha, Y., Merah, S.M., Benbelkacem, S., Atalla, S., Mansoor, W.
- Year: 2024
- Citations: 0
- Method for Remote Sensing Oil Spill Applications Over Thermal and Polarimetric Imagery
- Authors: Trongtirakul, T., Agaian, S., Oulefki, A., Panetta, K.
- Year: 2023
- Citations: 4
- Tumor Lung Visualization and Localization Through Virtual Reality and Thermal Feedback Interface
- Authors: Benbelkacem, S., Zenati-Henda, N., Zerrouki, N., Bentaleb, A., Liew, A.
- Year: 2023
- Citations: 4
- Twining Buildings: A Methodological Framework for Design and Implementation Using Home Assistant Technology
- Authors: Oulefki, A., Amira, A., Kurugollu, F., Alshoweky, M.
- Year: 2023
- Citations: 1
- Seamless Decision-Making in the Big Data Era: A Modular Approach to Integrating IoT, Cloud Computing, and Data Lakes
- Authors: Zemmouri, M., Laalam, F.Z., Kazar, O., Mansoor, W., Attala, S.
- Year: 2023
- Citations: 0
- Cross Data Analysis Platform Based on Big Data Paradigm
- Authors: Zemmouri, M., Laalam, F.Z., Himeur, Y., Belhadi, A., Mesbahi, N.
- Year: 2023
- Citations: 0
- Automated Tumor Segmentation in Thermographic Breast Images
- Authors: Trongtirakul, T., Agaian, S., Oulefki, A.
- Year: 2023
- Citations: 2