CEO | Bahari Research and Development | Oman
Dr. Abouzar Bahari is a distinguished scholar and researcher whose academic and professional journey reflects a deep commitment to Nuclear Physics, with a Ph.D. in Nuclear Physics from Payame-Noor University, alongside advanced studies in Genetics, Petroleum Engineering, and Mining Engineering, enabling him to bridge multidisciplinary fields through innovative research. His career includes leadership as CEO and Founder of Bahari Research and Development in Muscat, Oman, invited lectureships at Ferdowsi University of Mashhad, and extensive engineering experience in oil and gas production, all while advancing Nuclear Physics research through Monte Carlo simulations, particle radiation modeling, relativity, zero-point field analysis, and electromagnetic field applications in health sciences. His Nuclear Physics dissertation on predicting rock and fault failure has been recognized with prestigious awards, including a Best Researcher Award, and his consistent ranking among top graduates further validates his expertise. As a prolific contributor to scientific journals, reviewer, and editorial board member, Dr. Bahari has authored impactful works on earthquake precursors, neutron interactions, and Nuclear Physics-based simulations. His research interests span physics, cancer therapy with ultra-low frequency fields, and interdisciplinary applications of Nuclear Physics in geology, health, and energy systems. With advanced computational and simulation skills in MCNPX, MATLAB, Python, and visualization software, he combines technical mastery with scientific creativity. Overall, Dr. Bahari exemplifies how Nuclear Physics can integrate with diverse domains to generate solutions with global impact, and his career stands as a model of excellence in research, innovation, and education.
Profiles: Google Scholar | ORCID
Featured Publications
1. Bahari, A., & Seyed, A. B. (2007, April). Trust-region approach to find constants of Bourgoyne and Young penetration rate model in Khangiran Iranian gas field (SPE-107520-MS). SPE Latin America and Caribbean Petroleum Engineering Conference, Buenos Aires, Argentina. Society of Petroleum Engineers.
2. Bahari, A., & Baradaran Seyed, A. (2009). Drilling cost optimization in a hydrocarbon field by combination of comparative and mathematical methods. Petroleum Science, 6(4), 451–463.
3. Moradi, H., Bahari, M. H., Sistani, M. B. N., & Bahari, A. (2010). Drilling rate prediction using an innovative soft computing approach. Scientific Research and Essays, 5(13), 1583–1588.
4. Bahari, M. H., Bahari, A., Moharrami, F. N., & Sistani, M. B. (2008). Determining Bourgoyne and Young model coefficients using genetic algorithm to predict drilling rate. Journal of Applied Sciences, 8(17), 3050–3054.
5. Hassan, B. M., Aboozar, B., & Hamidreza, M. (2011). Intelligent drilling rate predictor. International Journal of Innovative Computing, Information and Control, 7(4), 1425–1436.