Iman Khosravi | Engineering | Best Researcher Award

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Dr. Iman Khosravi | Engineering | Best Researcher Award 

Assistant Professor at Department of Geomatics Engineering, Faculty of Civil Engineering & Transportation, University of Isfahan, Iran 

Dr. Iman Khosravi is an Assistant Professor at the University of Isfahan, Iran, in the Department of Geomatics Engineering, Faculty of Civil Engineering and Transportation. A specialist in Remote Sensing and Photogrammetry, he has made substantial academic and scientific contributions through research, teaching, and interdisciplinary collaborations. He has actively participated in national and industry-based projects and is recognized for his leadership in academic program development and innovation. His scientific expertise is grounded in image processing, pattern recognition, and surveying technologies, where he continues to shape the future of geomatics education and research.

profile

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Education

Dr. Khosravi obtained his Ph.D. in Remote Sensing Engineering in 2018 from the University of Tehran, one of Iran’s leading institutions for advanced studies in geographical sciences. Following his doctoral completion, he further refined his research skills as a postdoctoral researcher in the Department of Remote Sensing & GIS, Faculty of Geography, University of Tehran. This strong academic foundation enabled him to pursue a comprehensive academic and research career with a focus on both theoretical knowledge and applied innovations.

Experience

Currently serving as an Assistant Professor at the University of Isfahan, Dr. Khosravi brings years of practical and academic experience in the fields of geomatics, surveying, and remote sensing. His academic role is complemented by his service in various departmental and institutional leadership positions, including roles as Educational Deputy, Research Deputy, and Deputy of the Industry Relations Office. He also directs the Specialized Career Guidance and Employment Center, fostering industry-academia connections. His background includes supervising national projects and offering consultancy in remote sensing and surveying engineering initiatives.

Research Interest

Dr. Khosravi’s research is centered on the integration and advancement of radar and optical remote sensing, photogrammetry, and high-resolution image processing for geospatial applications. He is especially focused on the development of object-oriented image analysis and the application of pattern recognition techniques to spatial data. His work often explores the synergy between theoretical models and real-world application, including environmental monitoring and urban infrastructure assessment through advanced survey techniques. He is also committed to innovation in unmanned aerial vehicle (UAV) photogrammetry and educational methods in analytical photogrammetry.

Award

Dr. Khosravi is nominated for the Best Researcher Award in recognition of his remarkable publication record, multidisciplinary contributions, and academic leadership. With more than 25 peer-reviewed journal articles indexed in SCI and Scopus, over 300 citations, two published textbooks with ISBNs, and involvement in five research projects, he exemplifies academic excellence. His continued efforts to blend scientific rigor with educational advancement and practical implementation position him as a leader in the geomatics research community.

Publication

Among his published work, the following are selected key contributions:

“Urban Green Space Classification Using Object-Oriented Techniques” (2017, Remote Sensing Letters) – Cited by 32 articles.

“Fusion of Radar and Optical Imagery for Surface Change Detection” (2018, International Journal of Applied Earth Observation and Geoinformation) – Cited by 27 articles.

“Object-Based Image Analysis in Agricultural Monitoring” (2019, GIScience & Remote Sensing) – Cited by 19 articles.

“UAV-Based Photogrammetry for Urban Infrastructure Mapping” (2020, ISPRS International Journal of Geo-Information) – Cited by 15 articles.

“Pattern Recognition in High-Resolution Satellite Imagery” (2021, Sensors) – Cited by 11 articles.

“Integration of GIS and Remote Sensing for Land Use Planning” (2022, Land Use Policy) – Cited by 9 articles.

“Machine Learning Approaches in Remote Sensing Classification” (2023, Computers & Geosciences) – Cited by 6 articles.

Each of these articles demonstrates his commitment to advancing remote sensing techniques and their applications across diverse fields, reflecting strong interdisciplinary relevance.

Conclusion

Dr. Iman Khosravi exemplifies the qualities of a top-tier researcher through his commitment to high-impact research, publication excellence, academic authorship, and service to the scholarly and professional communities. His holistic contribution to the fields of remote sensing and geomatics engineering makes him an outstanding candidate for the Best Researcher Award. His continued pursuit of innovation and mentorship ensures that his influence extends beyond publications—nurturing future scholars and fostering cross-sector collaboration.

Zhenyu Gao | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Zhenyu Gao | Engineering | Best Researcher Award

Assoc. Prof. Dr. Zhenyu Gao | Engineering – Associate Professor at Northeastern University at Qinhuangdao, China

Zhenyu Gao is a distinguished Associate Professor at the School of Control Engineering, Northeastern University at Qinhuangdao. His academic journey is marked by groundbreaking research in control science and engineering, particularly in unmanned systems, autonomous intelligence, and intelligent transportation systems. Gao’s work is recognized globally for its innovative approaches to vehicular platoon control and multi-agent systems, contributing significantly to both theoretical advancements and practical applications in the field. His dedication to academic excellence is reflected in numerous prestigious awards, influential publications, and leadership roles in scientific communities.

Profile:

Orcid

Education:

Zhenyu Gao earned his Ph.D. in Control Science and Engineering from Dalian Maritime University, China, where he developed a strong foundation in advanced control theories. Prior to his doctoral studies, he completed his Bachelor’s degree in Automation at Shandong University of Technology. His educational background reflects a consistent trajectory of academic rigor, equipping him with the analytical skills and technical expertise necessary to excel in complex research areas.

Experience:

Currently serving as an Associate Professor, Gao has played a pivotal role in advancing research in control engineering. His professional journey includes leading several high-impact projects funded by national and provincial research foundations. Gao has also contributed as an Associate Editor for reputable journals and serves as a reviewer for top-tier publications in intelligent transportation systems and vehicular technology. His role as a mentor has guided numerous graduate students, fostering the next generation of researchers in his field.

Research Interests:

Gao’s research interests span unmanned systems, autonomous intelligence, collaborative control, multi-agent systems, and intelligent transportation systems. His work focuses on developing robust control strategies for vehicular platoons, addressing challenges related to actuator nonlinearities, sensor attacks, and real-time system performance. Gao’s innovative approaches have significantly advanced the understanding of dynamic systems and their applications in modern transportation and automation technologies.

Awards 🏆:

  • Wiley Top Downloaded Article Award (2023): Recognizing his highly cited publication in intelligent transportation systems.

  • Excellent Master Thesis Advisor of Northeastern University (2023): Honoring his mentorship and academic guidance.

  • Excellent Master Thesis Advisor of Liaoning Province (2024): Acknowledging his contributions to graduate education and research excellence.

Selected Publications 📚:

  1. Gao, Z., Li, X., Wei, Z., Liu, W., Guo, G., & Wen, S. (2025). Observer-based secure predefined-time control of vehicular platoon systems under attacks in sensors and actuators – IEEE Transactions on Intelligent Transportation Systems 📈 (Cited by 150+)
  2. Gao, Z., Liu, W., Wei, Z., & Guo, G. (2025). Adaptive finite-time prescribed performance control of vehicular platoons with multilevel threshold and asymptotic convergence – IEEE Transactions on Intelligent Transportation Systems 📊 (Cited by 120+)
  3. Gao, Z., Li, X., Wei, Z., Guo, G., Wen, S., Zhao, Y., & Mumtaz, S. (2025). Fixed-time secure control for vehicular platoons under deception attacks on both sensor and actuator via adaptive fixed-time disturbance observer – IEEE Internet of Things Journal 🚗 (Cited by 95+)
  4. Gao, Z., Li, X., Wei, Z., & Guo, G. (2024). Adaptive fuzzy finite-time asymptotic tracking control of vehicular platoons with nonsmooth asymmetric input nonlinearities – IEEE Transactions on Intelligent Transportation Systems 🚀 (Cited by 85+)
  5. Gao, Z., Wei, Z., Liu, W., & Guo, G. (2025). Adaptive finite-time prescribed performance control with small overshoot for uncertain 2-D plane vehicular platoons – IEEE Transactions on Vehicular Technology 🛰️ (Cited by 80+)
  6. Gao, Z., Sun, Z., & Guo, G. (2024). Adaptive predefined-time tracking control for vehicular platoons with finite-time global prescribed performance independent of initial conditions – IEEE Transactions on Vehicular Technology 🚦 (Cited by 75+)
  7. Gao, Z., Zhang, Y., & Guo, G. (2023). Adaptive fixed-time sliding mode control of vehicular platoons with asymmetric actuator saturation – IEEE Transactions on Vehicular Technology 🛣️ (Cited by 60+)

Conclusion:

Zhenyu Gao’s distinguished career reflects an exceptional blend of academic rigor, innovative research, and impactful mentorship. His contributions to control science and engineering, particularly in autonomous systems and intelligent transportation, have set new benchmarks in the field. Gao’s extensive publication record, combined with his leadership in research projects and academic communities, underscores his suitability for the “Best Researcher Award.” His work continues to influence and inspire advancements in control engineering, making him a worthy candidate for this prestigious recognition.

Tanaya Mandal | Engineering | Best Researcher Awards

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Ms. Tanaya Mandal | Engineering | Best Researcher Awards

PhD Candidate | Texas A&M University | United States

Short Bio 🌟

Tanaya Mandal is a dynamic materials engineer and Ph.D. candidate at Texas A&M University, with over four years of experience in researching the impact of material temperature on product performance. She has worked with prestigious institutions such as GE and TRI, and she actively chairs the Materials for Extreme Environments Technical Committee at SAMPE North America.

Profile

SCOPUS

Education 🎓

Tanaya Mandal is currently pursuing a Ph.D. in Materials Science and Engineering at Texas A&M University, maintaining a perfect GPA of 4.00. She previously earned her M.E. in the same field with a Corrosion Certificate from Texas A&M University in December 2020. Before that, she received her M.HSc from Trinity School of Medicine in May 2019, and her B.S. in Biochemistry and Molecular Biology from Houston Baptist University in May 2013.

Experience 🛠️

Texas Research Institute, Austin, TX
Application Engineering/Research & Development Intern (May 2023 – August 2023)
Tanaya collaborated with customers to develop prototypes for aerospace applications and engaged in the development of wear protection coatings. She worked closely with the sales team and analyzed high-temperature adhesion applications.

Texas A&M University, College Station, TX
PhD Research Student/Graduate Teaching Assistant (January 2021 – Present)
She led a project for the Air Force Office of Scientific Research, creating and analyzing self-healing vitrimer composites for aerospace. She also taught and assessed courses in materials science and engineering.

General Electric Global Research, Niskayuna, NY
Edison Technical Research Intern (June 2020 – August 2020)
Tanaya designed multilayer nitride coatings, evaluated hardness testing of various alloys, and participated in electrochemistry testing for accident tolerant fuel projects.

Research Interest 🔬

Tanaya’s research interests include the development and characterization of high-performance materials for extreme environments, particularly focusing on self-healing composites, high-temperature adhesion applications, and advanced nuclear reactors.

Awards 🏆

  • Best Oral Presentation in Advanced Materials and Nanotechnology at the Chemical Engineering Graduate Student Association (ChEGSA) Research Symposium (2024)
  • Moderator for Non-Destructive Evaluation & Materials Testing Technical Presentations at CAMX (2023)
  • SAMPE Student Chapter Grant Award (2021-2023)
  • Semifinalist for SAMPE University Research Symposium (URS) Program Competition (2021)
  • Women in 3D Printing (Wi3DP) Next Gen Mentorship Program (2021-present)
  • Judge for Senior Division of Materials Science at the Texas Science & Engineering Fair (2021)
  • SAMPE University Leadership Experience Award (2020)
  • Judge for Undergraduate Research Symposium at TAMU (2019)

Publications 📚

  • Mandal, T., Ozten, U., Vaught, L., Meyer, J.L., Amiri, A., Polycarpou, A., Naraghi, M. (2024). Processing and Mechanics of Aromatic Vitrimeric Composites at Elevated Temperatures and Healing Performance. J. Compos. Sci., 8, 252.
  • Mandal, T., Rodriguez-Melendez, D., Palen, B., Long, C.T., Chiang, H., Sarikaya, S., Naraghi, M., Grunlan, J.C. (2023). Heat Shielding Nanobrick Wall for Carbon Fiber Reinforced Polymer Composites. American Chemist Society Applied Polymer Materials, 5(5), 3270-3277.
  • Hoffman, A. K., Umretiya, R. V., Crawford, C., Spinelli, I., Huang, S., Buresh, S., Perlee, C., Mandal, T., Abouelella, H., Rebak, R. B. (2023). The relationship between grain size distribution and ductile to brittle transition temperature in FeCrAl alloys. Materials Letters, 331, 133427.