Seyed Ghiaasiaan | Artificial Intelligence in Petroleum Engineering | Best Researcher Award

Published on by Petroleum Engineering

Dr. Seyed Ghiaasiaan | Artificial Intelligence in Petroleum Engineering | Best Researcher Award

Assistant Professor at University of Texas Permian Basin | United States

Dr. Seyed Reza Ghiaasiaan is an accomplished materials and mechanical engineer whose research bridges advanced manufacturing, metallurgy, and applied mechanics, contributing significantly to innovations in additive manufacturing and metal processing. As a faculty member at the University of Texas Permian Basin’s Advanced Manufacturing Center, he integrates multidisciplinary approaches to study process–structure–property–performance relationships across metallic alloys and composites, including nickel-based superalloys, titanium, stainless steel, and aluminum systems. His extensive academic and industrial experience spans roles in research, teaching, and engineering design in Canada, the United States, and internationally, fostering collaborations with major research institutions and industrial partners such as NASA and NSERC. Dr. Ghiaasiaan has authored more than forty-five peer-reviewed publications and book chapters, with his work frequently cited in the fields of solidification, fatigue, and mechanical performance of materials. His contributions to the understanding of additive manufacturing processes, microstructural evolution, and fatigue-critical applications in aerospace and energy sectors have advanced the frontier of materials engineering. He has been repeatedly recognized for research excellence, scholarly reviewing, and mentorship, earning awards from institutions and professional bodies alike. A licensed Professional Engineer and active member of multiple international societies including ASME, ASM, and TMS, Dr. Ghiaasiaan exemplifies the integration of research rigor, innovation, and professional service, shaping the next generation of engineers through his leadership in advanced materials manufacturing and sustainable engineering design.

Profile: Google Scholar

Featured Publications

Mostafaei, A., Zhao, C., He, Y., Ghiaasiaan, S. R., Shi, B., Shao, S., Shamsaei, N., et al. (2022). Defects and anomalies in powder bed fusion metal additive manufacturing.

Mostafaei, A., Ghiaasiaan, R., Ho, I. T., Strayer, S., Chang, K. C., Shamsaei, N., et al. (2023). Additive manufacturing of nickel-based superalloys: A state-of-the-art review on process-structure-defect-property relationship.

Azizi, H., Zurob, H., Bose, B., Ghiaasiaan, S. R., Wang, X., Coulson, S., Duz, V., et al. (2018). Additive manufacturing of a novel Ti-Al-V-Fe alloy using selective laser melting.

Azizi, H., Ghiaasiaan, R., Prager, R., Ghoncheh, M. H., Samk, K. A., Lausic, A., et al. (2019). Metallurgical and mechanical assessment of hybrid additively-manufactured maraging tool steels via selective laser melting.

Ghiaasiaan, R., Amirkhiz, B. S., & Shankar, S. (2017). Quantitative metallography of precipitating and secondary phases after strengthening treatment of net shaped casting of Al-Zn-Mg-Cu (7000) alloys.

Moshu Qian | Artificial Intelligence in Petroleum Engineering | Best Academic Researcher Award

Published on by Petroleum Engineering

Prof. Moshu Qian | Artificial Intelligence in Petroleum Engineering | Best Academic Researcher Award

Full Professor at Nanjing Tech University | China

Prof. Moshu Qian, Member of IEEE, is a distinguished Full Professor at Nanjing Tech University, China, recognized for her extensive contributions to automation, intelligent systems, and control engineering. She earned her Ph.D. from Nanjing University of Aeronautics and Astronautics in 2016 and subsequently served as a visiting scholar at the University of Kent, United Kingdom, from 2019 to 2020, where she deepened her expertise in distributed control and adaptive systems. Throughout her academic career, Professor Qian has authored over 75 documents, including more than 50 peer-reviewed journal publications indexed in SCI and Scopus, and has contributed to a significant body of work that has garnered 710 citations by 624 documents, reflecting her strong research influence and visibility within the global academic community. Her current h-index is 12, attesting to the lasting impact and citation quality of her scholarly output. She has also published one academic book (ISBN: 978-7-118-11911-6) and holds 31 invention patents, many of which are applied within the industrial automation and petrochemical sectors. Professor Qian has successfully led fifteen completed and ongoing research projects and participated in four consultancy or industry-based collaborations, including the design of intelligent analysis software for lean product quality control supported by Yangzi Petrochemical in Nanjing, China. Her notable scientific achievements have earned her the First Prize of the Science and Technology Progress Award from the Chinese Society of Automation in 2023 and the Second Prize of the Science and Technology Progress Award from the Chinese Society of Instrumentation in 2024. Her research interests encompass distributed adaptive control, UAV formation systems, actuator fault-tolerant mechanisms, and smart industrial automation. Professor Qian’s scholarly dedication, innovative research, and leadership in cross-disciplinary collaborations continue to advance automation science and engineering applications, contributing to the development of intelligent, data-driven, and sustainable industrial systems that shape the future of automation and petroleum-related technologies.

Profile: Scopus | ORCID

Featured Publications

Gao, Z., Han, B., Qian, M., & Zhao, J. (2018). Active fault tolerant control for flexible spacecraft with sensor faults using adaptive integral sliding mode.

Li, J., Gao, Z., & Qian, M. (2019). Active fault tolerant control design for satellite attitude systems with mixed actuator faults.

Zhang, X., Gao, Z., Qian, M., & Bai, L. (2019). Adaptive fault-tolerant control for rigid spacecraft attitude system using fractional order sliding mode.

Bai, L., Gao, Z., Qian, M., & Zhang, X. (2019). Sliding mode observer-based FTC strategy design for satellite attitude systems with sensor fault.

Zhang, X., Gao, Z., Qian, M., & Zhou, Z. (2018). Active fault tolerant attitude control for rigid spacecraft with actuator LOE fault and saturation constraint.