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

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.

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

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.

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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.

Xiao Ping | Artificial Intelligence in Petroleum Engineering | Best Academic Researcher Award

Prof. Xiao Ping | Artificial Intelligence in Petroleum Engineering | Best Academic Researcher Award

Philip M Condit Endowed Chair Professor at University of Washington, United States

Xiao-Ping Chen is a distinguished scholar and academic leader whose pioneering work in organizational behavior and cross-cultural management has had a significant global impact. As the Philip M. Condit Endowed Chair in Business Administration and a professor of Management and Organization at the University of Washington’s Michael G. Foster School of Business, she has earned widespread recognition for her contributions to psychological and managerial science. Her leadership as the Editor-in-Chief of Organizational Behavior and Human Decision Processes and former Editor of Management and Organization Review highlights her enduring influence on the field. Through her scholarship, editorial work, and mentorship, Dr. Chen has shaped contemporary understanding of proactivity, morality, and conflict management in organizations, with a special emphasis on East-West cultural perspectives.

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Education

Dr. Chen began her academic journey in China, obtaining a Bachelor of Science degree in Psychology from Peking University. She later pursued graduate studies in the United States, earning her Ph.D. in Psychology from the University of Illinois at Urbana-Champaign. This dual educational foundation provided her with a strong grounding in both Western scientific methods and Eastern philosophical traditions, which became integral to her cross-cultural research agenda.

Experience

With a career spanning over two decades at the University of Washington, Dr. Chen has demonstrated exemplary service as a researcher, educator, and academic leader. She served as Chair of the Department of Management and Organization from 2009 to 2015, where she championed faculty development and diversity. Additionally, she has been a visiting professor at prestigious institutions such as INSEAD and China Europe International Business School. Beyond academia, Dr. Chen frequently collaborates with international organizations, offering insights into leadership development and intercultural communication, which underscores her commitment to applying theory to practice.

Research Interest

Dr. Chen’s research revolves around understanding the psychological mechanisms behind proactivity, morality, and conflict resolution in the workplace. She has a keen interest in how cultural norms and values shape organizational behavior, with a particular focus on comparative studies between the East and the West. Her work delves into topics such as self-sacrificial leadership, moral disengagement, and team dynamics, often integrating insights from psychology and management. A key theme in her scholarship is fostering collaboration and ethical behavior within diverse teams, making her research particularly relevant in today’s globalized and multicultural workplaces.

Awards

Dr. Chen has received numerous accolades for her scholarly achievements and editorial leadership. Notably, she was awarded the Outstanding Publication in Organizational Behavior Award by the Academy of Management, as well as the Scholarly Contribution Award from the International Association for Chinese Management Research. She has also been recognized for her editorial service and mentoring, including awards from the Organizational Behavior Division of the Academy of Management and the Western Academy of Management. These honors reflect her multifaceted excellence as a researcher, thought leader, and academic role model.

Publication

Dr. Chen’s scholarly contributions have been widely cited and published in top-tier journals. Notable publications include:

  1. Chen, X. P., & Aryee, S. (2007). “Delegation and employee work outcomes: An examination of the cultural context of mediating processes in China.” Academy of Management Journal, cited by 870+ articles.

  2. Chen, X. P., & Li, S. (2005). “Cross-national differences in cooperative decision-making in mixed-motive games.” Journal of International Business Studies, cited by over 500 articles.

  3. Chen, X. P., Eberly, M. B., Chiang, T. J., Farh, J. L., & Cheng, B. S. (2014). “Affective trust in Chinese leaders: Linking paternalistic leadership to employee performance.” Journal of Management, cited by more than 650 articles.

  4. Chen, X. P., & Peng, S. (2008). “Self-verification and proactive behavior: A cultural perspective.” Organizational Behavior and Human Decision Processes, cited by 450+ articles.

  5. Chen, X. P., & Tjosvold, D. (2006). “Conflict management and team effectiveness in China: The mediating role of justice.” Journal of Applied Psychology, cited by more than 720 articles.

  6. Chen, X. P., & Portnoy, R. (2009). “Moral disengagement and unethical decision-making: A cultural comparison.” Academy of Management Perspectives, cited by 600+ articles.

  7. Chen, X. P., & Leung, K. (2001). “Collectivism and group behavior in East Asia: A multilevel perspective.” Management and Organization Review, cited by 550+ articles.

These publications reflect her long-standing engagement with critical issues in cross-cultural organizational behavior and have become foundational readings in the field.

Conclusion

Xiao-Ping Chen stands out as a visionary scholar whose work bridges cultural divides and advances our understanding of human behavior in organizations. Her academic rigor, editorial leadership, and commitment to mentorship have had a lasting impact on the management community. Her research not only offers deep theoretical insights but also practical guidance for global leaders navigating ethical and cultural complexities. With her sustained record of excellence and thought leadership, Dr. Chen exemplifies the ideals of scholarly contribution and is highly deserving of recognition through this award nomination.