Assistant Professor at Istanbul Technical University, Turkey
Dr. Yasir Bashir is a highly experienced geoscientist with over 10 years in research, teaching, and industrial projects related to exploration geophysics. With expertise in seismic data processing, imaging, and machine learning, he has contributed to numerous high-impact projects in partnership with companies like PETRONAS, Hitachi, and OGDCL. He currently serves as an Assistant Professor in the Department of Geophysical Engineering at İstanbul Technical University, where he leads research teams focused on advanced seismic imaging algorithms and machine learning in the Oil & Gas sector. Dr. Bashir’s academic background includes a Ph.D. in Petroleum Geoscience and multiple international publications and presentations. He is also dedicated to mentoring students and developing specialized academic programs in geophysics. His passion for problem-solving and leadership in diverse teams has earned him recognition across the industry and academia.
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🎓 Education
Dr. Yasir Bashir holds a Ph.D. in Petroleum Geoscience, with a focus on exploration geophysics. He completed his advanced studies at prominent institutions, gaining significant expertise in seismic data processing, machine learning applications, and geophysical imaging. His academic journey equipped him with a solid foundation in developing innovative algorithms for subsurface data analysis and seismic inversion workflows. He further honed his technical and leadership skills through various research projects and collaborations with leading organizations like PETRONAS and OGDCL. Throughout his career, Dr. Bashir has participated in numerous professional development programs, adding to his vast knowledge base and refining his research methodologies. His contributions to education include designing advanced courses in Geophysics, such as “Machine Learning in Geophysics” and “Partial Differential Equations for Exploration Geophysics.” His ongoing commitment to education and research continues to foster the development of new methodologies and innovations in the geophysics field.
🏆 Experience
Dr. Yasir Bashir has over a decade of professional experience, blending industrial projects, teaching, and research in exploration geophysics. He is currently an Assistant Professor at İstanbul Technical University, leading research in advanced seismic imaging and machine learning applications in the Oil & Gas industry. Previously, he held roles as Senior Lecturer at the University of Science Malaysia and as a Research Scientist at PETRONAS, where he led multi-disciplinary teams in seismic imaging and hydrocarbon prediction. His work has focused on seismic anisotropy imaging, diffraction imaging, and developing machine learning algorithms for seismic inversion. Dr. Bashir’s professional career includes leadership in multiple research projects, such as seismic computing and hydrocarbon prediction, which led to several journal publications and international conference presentations. He has mentored and guided numerous Ph.D., MSc, and undergraduate students in geophysical research and has been recognized for his innovative contributions to seismic data processing and analysis.
🏅 Awards and Honors
Dr. Yasir Bashir has received several prestigious awards and recognitions throughout his academic and professional career. He earned an award for creating the best online teaching course on the OpenLearning platform, reflecting his dedication to educational excellence. His research has been supported by various funding sources, including the FRGS grants from the Ministry of Higher Education and industry grants for near-surface characterization studies. Dr. Bashir has also been recognized with multiple industry accolades for his groundbreaking work in seismic imaging and machine learning applications. Additionally, his significant contributions to the geophysics field have led to his membership in prestigious organizations, including SEG, EAGE, and AAPG. His innovative work in seismic inversion, machine learning, and hydrocarbon prediction has earned him international recognition. Dr. Bashir is also honored to have served as a mentor and leader in multidisciplinary research teams, shaping the future of exploration geophysics.
🔬 Research Focus
Dr. Yasir Bashir’s research focuses on developing advanced seismic imaging methodologies, with a particular emphasis on integrating machine learning techniques to enhance subsurface data analysis. His work aims to improve seismic data processing, inversion workflows, and imaging quality, particularly in challenging geological environments. Dr. Bashir has pioneered research in seismic anisotropy imaging, diffraction imaging, and the application of deep learning algorithms for hydrocarbon prediction and subsurface characterization. His work combines traditional geophysical methods with emerging technologies, such as artificial intelligence, to enhance the resolution of seismic data and facilitate more accurate interpretation of subsurface structures. Additionally, he is exploring hybrid methodologies for seismic inversion and re-imaging legacy datasets, with a goal of improving subsurface resolution. His ongoing research aims to optimize the use of machine learning and artificial intelligence to solve complex problems in oil and gas exploration, contributing to more efficient and effective resource management.
✅ Conclusion
Dr. Yasir Bashir stands out as an ideal candidate for the “Best Researcher Award” due to his substantial contributions to geophysics, his innovative application of machine learning in seismic imaging, and his proven leadership in both academic and industrial research. His ability to tackle complex geophysical problems and his commitment to advancing the field make him highly deserving of this prestigious recognition.
Publication
3D geo-seismic data enhancement leveraging geophysical attributes for hydrocarbon prospect and geological illumination
Authors: Y. Bashir, D.N. Akdeniz, D. Balci, A. Karaman, C. Imren
Citations: 1
Year: 2025
Reconstruction of subsurface potential hydrocarbon reservoirs through 3D seismic automatic interpretation and attribute analysis
Authors: Y. Bashir, B.D. Kemerli, T. Yılmaz, E.C. Göknar, E. Korkmaz
Citations: 3
Year: 2024
Improved reservoir characterization of thin beds by advanced deep learning approach
Authors: U. Manzoor, M. Ehsan, M. Hussain, Y. Bashir
Citations: 4
Year: 2024
Integrated analysis of wireline logs analysis, seismic interpretation, and machine learning for reservoir characterisation: Insights from the late Eocene McKee Formation, onshore Taranaki Basin, New Zealand
Authors: J. Oluwadamilola Olutoki, N.A. Siddiqui, A.K.M. Eahsanul Haque, Y. Bashir, M.A.K. El-Ghali
Citations: 7
Year: 2024
A novel machine learning approach for interpolating seismic velocity and electrical resistivity models for early-stage soil-rock assessment
Authors: M.D. Dick, A.A. Bery, N.N. Okonna, Y. Bashir, A.S. Akingboye
Citations: 4
Year: 2024
New technologies for seismic resolution enhancement and bandwidth expansion: Applications in SE Asian Basin
Authors: Y. Bashir, A.H. Abdul Latiff, M. Sajid
Citations: 1
Year: 2024