Jialing Zou | Artificial Intelligence in Petroleum Engineering | Best Researcher Award

Published on by Petroleum Engineering

Dr. Jialing Zou | Artificial Intelligence in Petroleum Engineering | Best Researcher Award

Lecturer at Southwest Petroleum University | China

Dr. Jialing Zou is a distinguished Lecturer at the School of Mechatronic Engineering, Southwest Petroleum University, recognized for her innovative contributions to intelligent sensing, data mining, and safety assessment within petroleum engineering. She holds a Ph.D. in Mechanical Engineering and focuses her research on developing intelligent early warning systems, smart fluid sensing, and real-time monitoring technologies to improve the safety and efficiency of complex drilling operations. Her scholarly pursuits combine data-driven intelligence with mechanical system optimization, advancing digital transformation and automation in the oil and gas industry. Dr. Zou has served as the principal investigator for several competitive research projects supported by major national and provincial funding agencies, including the National Natural Science Foundation of China, the Sichuan Provincial Science and Technology Department, and Southwest Petroleum University’s research initiatives. Her leadership in projects such as intelligent decision-making for digital geosteering and the development of online sensing methods for drilling fluid rheological parameters has significantly contributed to the field’s technological innovation. She has also played a key role in multiple national-level programs, including those under the National Key R&D Program of China, focusing on intelligent diagnosis and control technologies for petroleum exploration. Dr. Zou’s research has been widely published in high-impact journals 539 Citations by 460 documents 16 Documents h-index: 7 where her studies on advanced algorithms, fuzzy theory applications, and data-driven modeling have been highly regarded. Her interdisciplinary expertise bridges mechanical engineering, artificial intelligence, and safety science, positioning her as a leading emerging researcher in intelligent drilling and predictive safety systems. Through her academic excellence and commitment to innovation, Dr. Zou continues to advance knowledge, mentor young engineers, and promote the integration of intelligent technologies to enhance the sustainability and safety of petroleum engineering operations.

Profiles: Scopus | ORCID

Featured Publications

Yang, H., Liu, J., Yang, Z., Liang, H., Zhang, L., & Zou, J. (2023). Active control of the fluid pulse based on the FxLMS.

Liang, H., Xiong, J., Yang, Y., & Zou, J. (2023). Research on intelligent recognition technology in lithology based on multi-parameter fusion.

Liang, H., Xiong, J., Yang, Y., & Zou, J. (2023). Research on intelligent recognition technology in lithology based on multiparameter fusion of logging while drilling.

Liang, H., Zhang, W., Xu, W., Yang, H., & Zou, J. (2023). Research on rheological parameters correction method based on pipe viscometer.

Zhang, H., Chen, Q., Ni, P., Liang, H., Mao, M., & Zou, J. (2022). Study on the intelligent identification method of formation lithology by element and gamma spectrum.

Yang, H., Zhang, L., Li, L., Liang, H., & Zou, J. (2021). Error analysis and accuracy calibration method of U-tube Coriolis mass flowmeter under pulsating flow.

S.S Mortazavi | Artificial Intelligence in Petroleum Engineering | Best Academic Researcher Award

Published on by Petroleum Engineering

Prof. Dr. S.S Mortazavi | Artificial Intelligence in Petroleum Engineering | Best Academic Researcher Award

Professor at Shahid Chamran University of Ahvaz, Iran

Dr. Seyed Saeidollah Mortazavi is a distinguished academic in the field of Electrical Engineering, currently serving as a faculty member at Shahid Chamran University of Ahvaz. With over two decades of teaching, research, and technical leadership, he has made substantial contributions to power systems, control engineering, and intelligent algorithms. His academic career is marked by a rigorous pursuit of innovation in adaptive control, power quality, and fuzzy systems, and he is well-regarded for both his applied and theoretical impact in the energy sector.

Profile

Google Scholar

Education

Dr. Mortazavi obtained his Ph.D. in Electrical Engineering from the prestigious Indian Institute of Technology (IIT), New Delhi in 1999. His doctoral thesis, titled “Fuzzy Logic Control System Design and Tuning”, established his foundation in intelligent systems. Prior to this, he completed both his Master’s and Bachelor’s degrees in Electrical Engineering from Ferdowsi University of Mashhad in 1994 and 1992, respectively, focusing on control systems and power system coordination. His academic path has consistently reflected a strong commitment to bridging complex theoretical concepts with practical applications in electrical systems.

Experience

Dr. Mortazavi began his academic tenure at Shahid Chamran University in 2000, where he initially held the position of Assistant Professor and was later promoted to Associate Professor in 2010. He has taught a wide array of courses, including Electric Circuits, Signals and Systems, Control Systems, SCADA, Neural Networks, and Soft Computing. He has also held several administrative roles, such as Director of the University Informatics Center and Secretary of the Informatics Council, and led major IT infrastructure initiatives. In addition, he has served as a technical reviewer for numerous scientific journals and conferences since 1999 and has supervised dozens of postgraduate theses.

Research Interests

Dr. Mortazavi’s primary research interests lie in the areas of intelligent control systems, power system stability, reactive power compensation, and power quality improvement. He has extensively explored the application of fuzzy logic, neural networks, and genetic algorithms in load balancing, harmonic estimation, fault detection, and optimization in power systems. His research contributions often emphasize practical implementation, such as in adaptive active power filters, FACTS device coordination, and SCADA systems, reflecting a deep commitment to enhancing reliability and efficiency in modern electrical grids.

Awards

Throughout his career, Dr. Mortazavi has been recognized for his excellence in research and teaching. He has been a recurring participant and contributor to high-profile national and international engineering conferences and has represented Shahid Chamran University in various technical forums. His involvement in the establishment of university-level informatics systems and his contributions to regional and national electricity grid optimization projects highlight his impact beyond academia.

Publications

Dr. Mortazavi has authored numerous research papers in reputable journals and conferences. Some notable publications include:

  1. “Fuzzy logic controlled adaptive active power filter for harmonics minimization and reactive power compensation under fast load variation”, WSEAS Transactions on Power Systems, 2008 (Cited by 80+ articles).

  2. “A novel method of coordinating PSSs and FACTS Devices in Power System Stability Enhancement”, WSEAS Transactions on Power Systems, 2009.

  3. “Harmonic estimation in a power system using a novel hybrid Least Squares-Adaline Algorithm”, Electric Power System Research, Elsevier, 2009.

  4. “Comparison of different control strategies for robust shunt active power filter”, Int. Rev. of Electrical Engineering, 2009.

  5. “Electric Power Quality Disturbance Assessment Using Wavelet Transform Analysis”, Int. Rev. of Electrical Engineering, 2010.

  6. “Power Quality Improvement Using a Fuzzy Logic Control of a Series Active Filter”, Journal of Theoretical and Applied Information Technology, 2010.

  7. “Fuzzy Logic Based Coordination of SVC and ULTC to Improve Power Quality”, WCSET 2010.
    These publications have received significant citations, especially those focusing on fuzzy control and power quality, reflecting the scholarly influence and applied relevance of his work.

Conclusion

Dr. Seyed Saeidollah Mortazavi exemplifies the values of academic excellence, research leadership, and public service. His multidisciplinary approach, bridging intelligent systems and electrical engineering, has not only enriched the academic community but also contributed tangibly to the optimization of energy systems in Iran and beyond. With a solid record of innovation, publication, and mentorship, Dr. Mortazavi is an outstanding candidate for any award recognizing excellence in engineering education and research.