Muhammet Emre Sanci | Robotics | Innovative Research Award

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Dr. Muhammet Emre Sanci | Robotics | Innovative Research Award 

Dr. Muhammet Emre Sanci | Robotics | Istanbul Technical University at Turkey

Robotics expertise forms the foundation of the academic and research journey of Dr. Muhammet Emre Sanci, whose professional path seamlessly blends advanced theoretical knowledge with applied innovation in intelligent systems, nonlinear control, autonomous technologies, and UAV swarm intelligence. Dr. Muhammet Emre Sanci completed his PhD in Mechatronics Engineering at Istanbul Technical University, funded by the Ministry of Education Turkiye, where his thesis focused on adaptive inverse optimal controller design for nonlinear non-affine systems using machine learning methods. He also earned an MSc (Hons) in Electrical and Electronics Engineering at Pamukkale University, focusing on model-based control and autonomy in magnetic levitation systems, and previously completed a BE (Hons, 1st) in Electrical and Electronics Engineering at Anadolu University, where he compared fuzzy PID and PI controllers for DC microgrid energy systems. Adding multidisciplinary strength to his robotics vision, he studied Physics at Vilnius University through Erasmus+ mobility and completed BSc (Hons, 1st) in Physics at Abant Izzet Baysal University. Professionally, Dr. Muhammet Emre Sanci served as a Postdoctoral Fellow at the University of Idaho, advancing research in autonomous robotics, adaptive optimal control, multi-drone swarming systems, and agricultural automation. His work included adaptive disturbance rejection-based fuzzy PID control for UAV swarms, deep learning-based greenhouse automation, irrigation distribution modeling under heterogeneous soil conditions, and drone-based pest management systems, while providing data-driven modeling, algorithm development, and comprehensive documentation for large-scale research initiatives. Earlier, he served at Istanbul Technical University as Teaching & Research Assistant in Control and Automation Engineering, contributing to intelligent control, UAV-based autonomous mine sweeping, multi-agent local path planning, velocity obstacle avoidance, and neural network plus SVR-based nonlinear non-affine system identification strategies. His earlier experience at Pamukkale University integrated Robotics with materials and machining optimization, focusing on magnetic levitation system modeling and composite machining surface roughness prediction. He has extensive teaching expertise across multiple modules including Control Systems, Mechatronics, Real-Time Embedded Systems, Linear Algebra, Probability Theory, Microcontroller Systems, State-Space Methods, Intelligent Systems, Deep Learning, Hardware-in-the-Loop, Electronic Instrumentation, MATLAB Programming, and more, supporting robotics education at undergraduate and postgraduate levels. His research interests remain deeply rooted in Robotics, nonlinear intelligent control, adaptive UAV swarming, multi-agent autonomy, artificial neural networks for system identification, optimal control theory, and real-time embedded computation. His core research skills include nonlinear model design, optimal robotics controller development, multi-UAV coordination, intelligent system modeling, path-planning algorithms, machine learning implementation, and multi-environment dynamic optimization. His innovation has been supported by major competitive grants from national and international science foundations, including drone-based sensing system development for infrastructure inspection and UAV optimization technology for autonomous missions. His excellence is reflected through distinguished graduation achievements, academic honors, international research scholarships, and best presentation recognitions. In conclusion, Dr. Muhammet Emre Sanci stands as a robotics-focused scholar whose interdisciplinary expertise, highly adaptive control systems research, and forward-thinking approach to autonomous UAV swarming technologies significantly advance the global state-of-the-art in intelligent engineering systems, making him an invaluable contributor to emerging frontiers in Robotics.

Profile: Google Scholar

Featured Publications 

Sanci, M. E., Halis, S., & Kaplan, Y. (2017). Optimization of machining parameters to minimize surface roughness in the turning of carbon-filled and glass fiber-filled polytetrafluoroethylene. 2017, 6 citations.
Sanci, M. E., & Günel, G. Ö. (2024). Neural network based adaptive inverse optimal control for non-affine nonlinear systems. 2024, 5 citations.
Sanci, M. E., Uçak, K., & Günel, G. Ö. (2023). A novel adaptive LSSVR based inverse optimal controller with integrator for nonlinear non-affine systems. 2023, 5 citations.
Candan, F., Sanci, M. E., & Li, L. (2024). Vision-based relative navigation and drone swarming control for inspection in GPS-denied environment. 2024, 1 citation.
Sanci, M. E., Halis, S., & Kaplan, Y. (2016). Study on surface roughness of carbon and glass fiber filled polytetrafluoroethylene in turning process. 2016, 1 citation.

 

Jongrak Choi | Mechanical Engineering | Best Researcher Award

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Dr. Jongrak Choi | Mechanical Engineering | Best Researcher Award

Dr. Jongrak Choi | Mechanical Engineering – Principal researcher at Korea Electronics Technology Institute, South Korea

Jongrak Choi is a distinguished researcher and principal researcher at the Korea Electronics Technology Institute (KETI), where he leads significant advancements in intelligent mechatronics and fluid dynamics. With a deep commitment to research and innovation, his career has been defined by groundbreaking work in computational fluid dynamics (CFD), thermal management for electric devices, and prognostics and health management (PHM) of mechanical systems. Over the years, Choi has made vital contributions to multiple research areas, from optimizing thermal performance in electric motors to automating complex simulation solvers, positioning him as a key figure in his field.

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SCOPUS

Education:

Jongrak Choi’s academic journey reflects his dedication to mechanical engineering, earning a Ph.D. in Mechanical Engineering from Sogang University in 2022, where he conducted pivotal research on numerical modeling for blood trauma characteristics in blood pumps. His master’s and bachelor’s degrees, also from Sogang University and Kookmin University, respectively, laid the foundation for his expertise in fluid dynamics, thermal management, and industrial engineering. Through his academic endeavors, Choi has developed a deep understanding of the intersection between engineering and real-world challenges, contributing to his success in research and industry.

Experience:

Choi’s professional career spans various roles, culminating in his current position as a Principal Researcher at KETI. His previous experience as a research professor at Sogang University allowed him to hone his academic rigor, while his tenure as an associate research engineer at LS Mtron helped him apply his research insights to industrial technologies. At KETI, Choi is at the forefront of developing solutions that integrate cutting-edge engineering principles into real-world applications. His work has seen the successful application of CFD in automotive, aerospace, and energy systems, further solidifying his standing as a leader in the engineering research community.

Research Interests:

Jongrak Choi’s research interests are rooted in computational fluid dynamics (CFD), focusing on its application in industrial fields such as thermal management for electric devices, simulation automation, and health monitoring of mechanical systems. His work extends to prognostics and health management (PHM) of motors and inverters, where he aims to improve reliability and efficiency in industrial machinery. By applying advanced CFD techniques, Choi seeks to optimize systems for better performance, efficiency, and sustainability, with particular emphasis on energy consumption, thermal optimization, and predictive maintenance in motors, pumps, and other critical mechanical components.

Awards:

Jongrak Choi’s exceptional contributions to mechanical engineering have been recognized through numerous prestigious awards. In 2024, he received the Best Paper Award from the Korea Society of Mechanical Engineers (KSME), as well as the Grand Prize in the Virtual Engineering Platform Software Utilization Contest. His work was honored multiple times in 2023, including at the AeroNDT2023 Conference and the 17th International Conference on Heat Transfer. Choi’s innovation and commitment to advancing mechanical engineering are further highlighted by the KISTI High-Performance Computing Award and multiple Excellent Paper Awards. His numerous accolades reflect his significant influence on the field and his ongoing dedication to pioneering research.

Publications:

Yang, S., Shin, Y., Son, G., & Choi, J. (2025). “Numerical optimization of thermal performance using Kriging method in a propulsion motor.” Journal of Heat Transfer Engineering. 🌡️
Yang, S., Lee, S.H., Shin, Y., Seo, J.-M., Cho, Y.W., Son, G., & Choi, J. (2024). “A numerical study on heat release characteristics of coolant passages in air vehicle motor.” Journal of Mechanical Science and Technology. 🚗
Park, D., Guo, F., Choi, J., Park, J.-H., & Kim, N. (2023). “Temperature and thermal stress analysis of a hot blast stove.” Processes. 🔥
Choi, J., Choi, J., Lee, K., Hur, N., & Kim, N. (2022). “Fatigue life prediction methodology of hot work tool steel dies for high-pressure die casting.” Metals. ⚙️
Choi, J., Jang, S., & Hur, N. (2022). “A numerical study of wind pressure on platform screen doors.” Journal of Computational Fluids Engineering (Korean). 🌬️

Conclusion:

Jongrak Choi is a highly accomplished researcher with a distinguished career that bridges academia and industry. His contributions to mechanical engineering, particularly in computational fluid dynamics and thermal optimization, have had a profound impact on real-world applications, from improving the performance of electric motors to enhancing the reliability of industrial systems. Choi’s numerous awards and publications demonstrate his expertise and ongoing influence in the field. His innovative approach and dedication to advancing engineering technologies make him an excellent candidate for the Best Researcher Award. With his continued focus on pioneering research and development, Choi is poised to shape the future of mechanical engineering and leave a lasting legacy in the field.

Osama Elshazly | Mechatronics and Robotics | Best Researcher Award

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Dr. Osama Elshazly | Mechatronics and Robotics | Best Researcher Award

Assistant Professor at Faculty of Electronic Engineering Menouf – Menoufia University, Egypt

 

Dr. Osama Elshazly is an accomplished Assistant Professor with a robust background in Mechatronics and Robotics Engineering. Based in Cairo, Egypt, Dr. Elshazly has dedicated his career to advancing control systems, artificial intelligence in engineering, and automation technology. His innovative approach integrates research, teaching, and practical applications, contributing to various significant projects in the field. He has also demonstrated leadership in mentoring students for international robotics competitions, emphasizing the real-world application of theoretical knowledge. Dr. Elshazly’s commitment to academic excellence and research innovation positions him as a leader in his field.

Profile 

Google Scholar

Education

Dr. Elshazly completed his Ph.D. in Mechatronics and Robotics Engineering at the Egypt-Japan University of Science and Technology (E-JUST) in 2015. His research during this time focused on cutting-edge control techniques and artificial intelligence applications in dynamic systems. Before pursuing his doctoral studies, he earned an MSc in Automatic Control Engineering from Menoufia University in 2012, where he developed a strong foundation in control theory and electronic systems. He also holds a BSc in Electronic Engineering from Menoufia University, awarded in 2004, where he laid the groundwork for his future endeavors in Mechatronics and Robotics.

Experience

Dr. Elshazly has extensive teaching and research experience, having served as an Assistant Professor in several prestigious institutions. His career began at Menoufia University, where he worked as an Assistant Lecturer, later advancing to Assistant Professor from 2015 to 2020. During this time, he was actively involved in teaching courses related to Mechatronics, Robotics, and Control Systems, as well as managing quality assurance processes. He continued his academic career at the High Institute of Engineering and Technology, taking on a full-time Assistant Professor role while also engaging with other institutions such as Modern University for Technology and Information, and Université Française d’Egypte, where he taught part-time. His experience extends internationally, having been a Research Fellow at Catania University in Italy, where he contributed to collaborative projects in dynamic systems control.

Research Interests

Dr. Elshazly’s research focuses on the intersection of Mechatronics, Robotics, and Automatic Control Engineering, with specific interests in dynamical systems, robotic manipulators, and AI-based control techniques. He is particularly passionate about advancing control strategies for complex systems, such as iterative learning control and adaptive control methodologies. His work in artificial intelligence control, fractional order control, and new AI model architectures has yielded significant contributions to the development of autonomous systems. His ongoing research explores the integration of AI algorithms in real-time control and optimization, aiming to solve complex engineering problems with innovative solutions.

Awards

Dr. Elshazly has received recognition for his contributions to the field of engineering, including grants and funds that support his research initiatives. Notably, he was involved in the Mobility Grant Project between Catania University and Egypt-Japan University, funded by the Science and Technological Development Fund (STDF) of Egypt, which provided substantial resources for collaborative research. He has also been acknowledged for his role as a supervisor for students in international competitions, such as the International Autonomous Robot Racing Challenge and the IDC Robocon, which further showcases his ability to guide young talent towards technical excellence.

Publications

Omar Shaheen, Osama Elshazly, Hossam Khalil. “Quantum Neural Networks Based Lyapunov Stability and Adaptive Learning Rates for Identification of Nonlinear Systems.” Ain Shams Engineering Journal, 2024. Link.

Omar Shaheen, Osama Elshazly, Abdullah Baihan, Walid El-Shafai, Hossam Khalil. “Advancing Nonlinear Dynamics Identification with Recurrent Quantum Neural Networks: Emphasizing Lyapunov Stability and Adaptive Learning in System Analysis.” Alexandria Engineering Journal, 2024. Link.

Hossam Khalil, Osama Elshazly, Omar Shaheen. “Optimal Fuzzy Pre-compensated TID Controller for Nonlinear Dynamical Systems.” Menoufia Journal of Electronic Engineering Research (MJEER), 2024.

Mostafa E., Osama Elshazly, El-Bardini M. et al. “Embedded Adaptive Fractional-Order Sliding Mode Control Based on TSK Fuzzy System for Nonlinear Fractional-Order Systems.” Soft Computing, 2023. Link.

E. Mostafa, A. M. El-Nagar, Osama Elshazly, M. El-Bardini. “Fractional Order Sliding Mode Controller for Coupled Tank System.” Menoufia Journal of Electronic Engineering Research (MJEER), 2021.

E. Mostafa, A. M. El-Nagar, Osama Elshazly, M. El-Bardini. “Adaptive Fractional Order Sliding Mode Control for a Nonlinear System.” 2021 International Conference on Electronic Engineering (ICEEM), 2021. Link.

Conclusion

Dr. Osama Elshazly has demonstrated a commitment to advancing engineering research, particularly in Mechatronics and Control Engineering. His innovative research contributions, combined with a passion for teaching and mentoring, make him a strong candidate for the Best Researcher Award. His career reflects a dedication to solving complex engineering challenges through interdisciplinary approaches, showcasing his potential to continue making significant impacts in his field.