Laboratory of Spectroscopic and Optical Characterization of Materials (LaSCOM), Faculty of Sciences, University of Sfax, Tunisia
Dr. Mohamed Ben Bechir is an Accredited Assistant Professor in Physics at the University of Gafsa, Tunisia, with expertise in material science and optoelectronics. Born on September 11, 1988, he has an H-index of 16 and is fluent in Arabic, English, and French. His research revolves around material characterization, perovskite solar cells, and the application of machine learning in photovoltaic materials. He currently leads the Laboratory of Spectroscopic and Optical Characterization of Materials (LaSCOM) at the University of Sfax. His academic and research contributions have made him a prominent figure in the field of condensed matter physics, specifically in the growth and application of lead-free perovskites.
Profile
Education
Dr. Ben Bechir holds a Ph.D. in Physics from the University of Sfax (2015), specializing in the study of advanced materials. He obtained his M.Sc. (2012) and B.Sc. (2010) in Physics from the same institution. In 2022, he received the HDR (Accreditation to Direct Research) in Physics, which marks his eligibility to supervise Ph.D. students. His educational journey has provided him with a strong foundation in spectroscopy, materials science, and experimental physics.
Experience
Dr. Ben Bechir has been part of the Department of Physics at the University of Gafsa since 2015, where he served as Assistant Professor and later as an Accredited Assistant Professor from 2022 onwards. He also contributes to the Laboratory of Spectroscopic and Optical Characterization of Materials (LaSCOM) at the University of Sfax. His role involves teaching, mentoring students, and conducting high-level research in the fields of material characterization and optoelectronics. His expertise spans multiple techniques, such as X-ray diffraction, UV-visible spectroscopy, and electrical impedance spectroscopy.
Research Focus
Dr. Ben Bechirās research focuses on lead-free perovskite materials, particularly in the realms of solar energy and optoelectronics. His work investigates the growth, characterization, and application of these materials in photovoltaic devices. He is also exploring the use of machine learning to predict new materials for solar applications. His research methods include spectroscopic techniques, electrical characterization, and nanotechnology, with a particular interest in the photophysics of perovskite solar cells. These efforts are aimed at advancing sustainable energy technologies.
Publications
- Small polaron dynamics in CsCuAgI3: A combined ultrafast spectroscopy and conductivity study for optoelectronic applications š
- Characterization of Cs2AgInCl6: Bridging Optical and Electrical Properties for Advanced Optoelectronic Applications š¬
- Structural and Electrical Characterization of Cs2SnBr6: Insights From Raman Spectroscopy and Conductivity Under Varying Light Conditions ā”
- Cs2ZnCl4: A lead-free all-inorganic perovskite with a large dielectric permittivity š