Matthias Schmitz | Autonomous Systems | Best Researcher Award

Mr. Matthias Schmitz | Autonomous Systems | Best Researcher Award

Mr. Matthias Schmitz | Ulm University | Germany

Matthias Schmitz is a graduate student in Computational Science and Engineering at the University of Ulm, Germany. His academic journey spans multiple international exchange programs, and he has contributed to research in areas ranging from autonomous vehicle control and SLAM-based trajectory planning to high-performance computing and algorithmic development. He combines his interdisciplinary background in computer science, mathematics, engineering, and mechanical systems to pursue innovation in autonomous systems and computational modeling, working under esteemed advisors across Europe and the U.S.

Publication Profile

ORCID

Education Background

Matthias completed a Bachelor of Science in Mechanical Engineering (Mechatronics) at the University of Duisburg-Essen. He is currently pursuing a Master in Computational Science and Engineering at the University of Ulm (in cooperation with Ulm University of Applied Sciences). Along the way, he enriched his studies through exchange semesters at the University of Bordeaux (Computer Science), the University of Memphis (Machine Learning, Neural Networks, Control Systems, CAD), and the University of Padua (Computer Vision, Robotics, Control), gaining foundational skills in French and Italian.

Professional Experience

Matthias has served as a student researcher and intern in both academic and industry environments. At Ulm University and Ulm University of Applied Sciences, he contributed to autonomous vehicle control projects involving SLAM, LiDAR, and prototype systems. He has interned at IMS Messsysteme GmbH, acquiring machining and manufacturing experience, and at Sakthi Automotive Group in Detroit, applying FEA and material analysis to optimize cast aluminum specimens. In Duisburg, he led force sensor development and prototyping as a student employee, leveraging CAD and microcontroller systems.

Awards and Honors

Matthias has been awarded numerous academic scholarships and fellowships: the University of Ulm Scholarship, additional mobility grants from the Foundation of the German Economy (sdw) for his stays in Bordeaux, Memphis, and Padua, the Erasmus scholarship from the University of Duisburg, and a Deutschlandstipendium from the University of Duisburg-Essen. He also received a Study Fellowship from the Employers’ Association Ruhr/Westfalen. His recognition underscores both scholarly merit and commitment to international experience.

Research Focus

Matthias’s research centers on development and control of agile autonomous systems, computational algorithms for high-performance and parallel computing, and applications of computer vision and robotics. His projects include real-time SLAM and trajectory planning for the Nimbulus-e platform, Galois group computation, optimization algorithms like the Sparrow Search, FEM-based Poisson equation solvers, robotic control via Lego Mindstorms, and hand-segmentation using deep learning in computer vision.

Publication

Conclusion

Drawing on a strong foundation in engineering, computer science, and applied mathematics, Matthias Schmitz embraces interdisciplinary research and international collaboration. His diverse academic experiences, combined with practical skills in algorithm design, prototype development, and sensor-based autonomy, position him to contribute innovatively to the fields of autonomous systems and computational engineering.

 

Assoc. Prof. Dr. Samuel Moveh | Robotics | Best Researcher Award

Assoc. Prof. Dr. Samuel Moveh | Robotics | Best Researcher Award

Associate Professor, Transporta un sakaru instituts TSI, Latvia

Dr. Samuel Moveh is a passionate researcher and academician dedicated to advancing knowledge in mechanical engineering, artificial intelligence, and robotics. With a strong background in teaching and research, he has contributed significantly to academia through his innovative work in autonomous systems, intelligent control, and smart technologies. Dr. Moveh has held key academic positions across multiple universities, including his role as a Visiting Associate Professor at the Transport and Telecommunication Institute, Latvia, and a University Professor at Istanbul Gelisim University, Türkiye. His commitment to mentorship and scholarly excellence is evident in his numerous publications, research collaborations, and contributions to technological advancements.

Publication Profile

🎓 Education

Dr. Samuel Moveh holds a Ph.D. in Mechanical Engineering from Universiti Teknologi Malaysia (UTM) 🏛️, where he specialized in autonomous systems and intelligent control. He earned his Master’s degree in Mechanical Production Engineering from Ahmadu Bello University, Nigeria, and a Bachelor’s degree in Mechanical Engineering (Honors) from Modibbo Adama University, Nigeria. His academic journey is marked by excellence, with a strong focus on applied mechanics, fluid dynamics, and robotics.

💼 Experience

With over a decade of academic and research experience, Dr. Moveh has contributed to various institutions globally. As a Visiting Associate Professor at the Transport and Telecommunication Institute, Latvia, he taught advanced courses in aeronautical systems, artificial intelligence, and robotics. He also served as a University Professor and Erasmus Coordinator at Istanbul Gelisim University, where he played a pivotal role in international academic collaborations. His research experience spans across National University of Singapore, where he worked on smart facade technologies, and Infinity FM, Malaysia, contributing to smart city development. His earlier roles include lecturing positions at Modibbo Adama University, Nigeria, where he mentored numerous students in mechanical engineering and intelligent systems.

🏅 Awards and Honors

Dr. Moveh has been recognized for his outstanding contributions to engineering and academia. He has received multiple awards for his research excellence, particularly in autonomous vehicle control, intelligent systems, and sustainable smart technologies. His contributions to interdisciplinary research and technological innovations have earned him a reputation as a leading scholar in his field.

🔬 Research Focus

Dr. Moveh’s research interests lie in autonomous vehicle control, artificial intelligence, robotics, and smart city technologies. He has made significant contributions to developing intelligent lane-keeping systems, smart facade technologies, and machine learning applications in engineering. His work focuses on integrating AI-driven control systems into real-world applications, ensuring sustainability, efficiency, and innovation in mechanical and smart technologies.

📚 Publications

A review of some pure-pursuit based path tracking techniques for control of autonomous vehicles – International Journal of Computer Applications (2016) 📖 Cited by 229

Lane keeping maneuvers using proportional integral derivative (PID) and model predictive control (MPC) – Journal of Robotics and Control (2021) 🤖 Cited by 28

Development of edge-based lane detection algorithm using image processing – JOIV: International Journal on Informatics Visualization (2018) 🖥️ Cited by 23

Housing quality standard and Covid-19 pandemic: A call for attention in Nigeria – Journal of Science, Engineering, Technology and Management (2020) 🏠 Cited by 22

Non-intrusive room occupancy prediction performance analysis using different machine learning techniques – Energies (2022) 🔥 Cited by 20

IoT and big data technologies: opportunities and challenges for higher learning – International Journal of Recent Technology and Engineering (2020) 📡 Cited by 18

AI Driven Thermal People Counting for Smart Window Facade Using Portable Low‐Cost Miniature Thermal Imaging Sensors – Preprints (2020) 🌡️ Cited by 17

Evaluating the performance of fuzzy-PID control for lane recognition and lane-keeping in vehicle simulations Electronics (2023) 🚗 Cited by 13

The influence of silicon carbide particulate loading on tensile, compressive and impact strengths of Al-Sicp composite for sustainable development – Chemical Engineering Transactions (2018) ⚙️ Cited by 10

🔚 Conclusion

Dr. Samuel Moveh is a distinguished researcher whose work bridges the gap between mechanical engineering, artificial intelligence, and robotics. His extensive contributions to smart technologies, autonomous systems, and intelligent control systems have made a lasting impact in academia and industry. With a strong commitment to innovation, mentorship, and research excellence, he continues to inspire the next generation of engineers and scientists worldwide. 🚀