Dr. Mojtaba Ahmadiehkhanesar | Robotics | Best Researcher Award

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Mojtaba Ahmadiehkhanesar | Robotics | Best Researcher Award

University of Nottingham | United Kingdom

Dr. Mojtaba Ahmadieh Khanesar (PhD, MIET’20, SMIEEE’16, MASME’23) is a distinguished research fellow in optical metrology and machine learning at the Department of Mechanical, Materials, and Manufacturing Engineering, University of Nottingham, UK. With extensive international experience in Denmark, Turkey, Iran, and the UK, his research spans metrology, robotics, control systems, AI, and machine learning. He earned his Ph.D. in Control Engineering from K. N. Toosi University of Technology, Tehran, Iran, with a thesis on model reference interval type-2 fuzzy control of SISO nonlinear systems, following an M.Sc. on sliding mode fuzzy control of a rotary inverted pendulum and a B.Sc. in Control Engineering. Dr. Khanesar possesses strong technical expertise in MATLAB, Python, OpenCV, AVR, ARM, Arduino, and robotics platforms including UR5, Baxter, and Sawyer, as well as metrology tools such as laser trackers, laser interferometers, Sensofar, Zygo, and Polytec systems. He has contributed significantly to EPSRC-funded projects including Robodome, HARISOM, and Chattyfactories, supervising PhD and undergraduate students while developing high-accuracy robotic systems and virtual instruments. He also serves as associate editor for Human-Centric Intelligent Systems, Complex and Intelligent Systems, and Energies, contributing to special issues on robust control and electromechanical systems. Dr. Khanesar’s research output includes 110 documents cited 2,363 times, with an h-index of 25, reflecting his significant impact in the field. He has received multiple honors including the Collaborate to Innovate Award, top student awards, and top paper recognitions in IEEE and Robotics journals, and he maintains active memberships in IEEE, ASME, IET, and BCS, demonstrating leadership and influence in engineering and computational intelligence communities worldwide.

Profile : Scopus | ORCID | Google Scholar

Featured Publications

  • Khanesar, M. A., Kayacan, E., Teshnehlab, M., & Kaynak, O. (2011). Extended Kalman filter based learning algorithm for type-2 fuzzy logic systems and its experimental evaluation. IEEE Transactions on Industrial Electronics, 59(11), 4443–4455.

  • Khanesar, M. A., Kayacan, O., Yin, S., & Gao, H. (2015). Adaptive indirect fuzzy sliding mode controller for networked control systems subject to time-varying network-induced time delay. IEEE Transactions on Fuzzy Systems, 23(1), 205–214.

  • Sharafi, Y., Khanesar, M. A., & Teshnehlab, M. (2013). Discrete binary cat swarm optimization algorithm. In Proceedings of the 3rd IEEE International Conference on Computer, Control and Communication (pp. xx–xx). IEEE.

  • Kayacan, E., Kayacan, E., & Khanesar, M. A. (2015). Identification of nonlinear dynamic systems using type-2 fuzzy neural networks—A novel learning algorithm and a comparative study. IEEE Transactions on Industrial Electronics, 62(3), 1716–1724.

  • Camci, E., Kripalani, D. R., Ma, L., Kayacan, E., & Khanesar, M. A. (2018). An aerial robot for rice farm quality inspection with type-2 fuzzy neural networks tuned by particle swarm optimization-sliding mode control hybrid algorithm. Swarm and Evolutionary Computation, 41, 1–8.

 

Mr. Cirilo Delgado Asencio | Mobile Robotics | Young Researcher Award

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Mr. Cirilo Delgado Asencio | Mobile Robotics | Young Researcher Award

Researcher, University of Huelva, Spain

Cirilo Delgado Asencio is a skilled Industrial Electronic Engineer and Mechanical Engineer, with a strong academic foundation and a remarkable record of achievements. At just 25 years old, he is currently a Technical Researcher at the Research Center for Technology, Energy, and Sustainability at the University of Huelva. His work focuses on renewable energy, hydrogen technology, and fuel cells, areas in which he has developed extensive expertise. He has been recognized for his academic excellence and innovative contributions to energy technologies, particularly in hydrogen fuel cell applications 🌍🔋.

Publication Profile

ORCID

Education Background:

Cirilo holds a Master’s degree in Industrial Engineering from the University of Huelva (2024) and two Bachelor’s degrees in Industrial Electronic Engineering (2022) and Mechanical Engineering (2022) from the same institution. His academic performance has been exceptional, with an average grade above 8, and he has received multiple accolades, including Honor Roll distinctions and awards for his outstanding work on his final projects 🎓🏆.

Professional Experience:

In addition to his technical expertise, Cirilo has made valuable contributions to the scientific community. He worked as an external collaborator at CITES in 2021/22, where he was involved in the design and implementation of an alkaline electrolyzer for the “Ocean” project (ARIEMA). He has also taught courses on hydrogen technology and renewable energy at various academic institutions, including the University of Huelva and the University of Las Palmas de Gran Canaria 🌱📚. Currently, he is working as a researcher under the “Programa Investigo,” focusing on hydrogen technology and its application in mobility and fuel cell systems.

Awards and Honors:

Cirilo has received multiple awards, including the Cátedra Atlantic Copper Award for the best final project in Industrial Electronic Engineering (2022) and the Cátedra Gabitel H2 Award for his Mechanical Engineering final project (2022). These recognitions highlight his exceptional skills and commitment to advancing sustainable energy solutions 🌟🏅.

Research Focus:

Cirilo’s research is concentrated on the development and application of hydrogen technologies, particularly in fuel cell systems and hydrogen-powered mobility solutions. He has been involved in various innovative projects, such as HYGROBOT (a hydrogen-powered mobile robotic platform), and has contributed to key advancements in the design of electrolysis systems and hydrogen storage technologies for use in transportation 🚗⚡.

Conclusion:

With a solid academic background, impressive professional experience, and a passion for advancing clean energy solutions, Cirilo Delgado Asencio is a promising figure in the field of renewable energy. His commitment to research and teaching, combined with his drive to make a positive impact on sustainable technologies, positions him as a rising star in the energy sector 🌟🌿.

Publications:

Hygrobot: Hydrogen-Powered Mobile Robotic Platform for Rough Terrain: ElectroMechanical Design, Physical Implementation, and Experimental Testing
Published in Applied Sciences (2025)
DOI: 10.3390/app15095028
Impact Factor (2023): 2.5, Category: Engineering, Multidisciplinary, CiteScore: 5.3 Q1 (2023)

Electrical, Mechanical, and Aerodynamics Study to Implement a Hydrogen-Powered Fixed-Wing RPAS
Published in IEEE Transactions on Transportation Electrification (2024)
DOI: 10.1109/TTE.2024.3427015
Impact Factor (2024): 7.2, Category: Electrical & Electronic Engineering, CiteScore: 12.2 Q1 (2024)

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

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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. 🚀