Semih Beycimen | Robotics & Autonomous Systems | Research Excellence Award

Published on by Electrical Engineering

Mr. Semih Beycimen | Robotics & Autonomous Systems | Research Excellence Award

Professor | International Telecommunication Union | Turkey

Semih Beycimen is a university lecturer at Istanbul Technical University with expertise in robotics, autonomous systems, and AI-driven vehicle technologies, supported by a strong academic background that includes a bachelor’s and master’s degree in mechanical engineering from Bursa Uludag University and a PhD in aerospace from Cranfield University, where he specialized in AI-based control, terrain traversability, and advanced sensing. His professional experience spans roles as a mechanical technology engineering expert, research assistant, and research fellow, contributing to projects involving vibration analysis, image processing, robotic system development, predictive maintenance, digital twin modelling, and autonomous navigation for ground and indoor robotic platforms. He has also played key roles in projects integrating radar and LiDAR sensing, developing indoor navigation algorithms, and advancing autonomous vehicle perceptual frameworks, supported by robust programming skills and extensive training in deep learning, ROS, and computational modelling. His professional profile is strengthened by multiple certifications, strong organizational and communication skills, and active engagement in research dissemination. At least line: 40 citations, 5 documents, and an h-index of 2.

Citation Metrics (Scopus)

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Featured Publications

 

Yaonan Dai | Robotics And Autonomous Systems | Research Excellence Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Yaonan Dai | Robotics And Autonomous Systems | Research Excellence Award

Associate Professor | Wuhan Institute of Technology | China

Dr. Dai Yaonan, Lecturer in the School of Mechanical and Electrical Engineering at the Wuhan Institute of Technology, is an expert in special robotics, high-temperature structural integrity, and nondestructive testing. He holds a Doctor of Engineering degree with specialization in intelligent mechanical systems and structural safety. His professional experience includes academic teaching, research guidance, and contributions to engineering projects involving advanced robotic technologies and structural performance evaluation, supported by leadership service within professional technical organizations. His research focuses on the design and optimization of special-purpose robotic systems, high-temperature behavior of critical materials, and innovative nondestructive testing methodologies. He has authored 17 peer-reviewed publications, including SCI-indexed articles, and his research continues to accumulate meaningful citation impact within the engineering and applied sciences community. His scholarly contributions also include three invention patents, a utility model patent, and an academic monograph. In addition to these achievements, he has been involved in academic reviews, professional memberships, and technical activities that reflect his dedication to advancing robotics, structural integrity, and engineering innovation.

Citation Metrics (Researchgate)

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Featured Publications


Meta-learning Enhanced Classification of Complex Defects in Pressure Vessels

– Measurement Science and Technology (citation data not available)


Ir-YOLO: A Rotating Detection Method for High-Precision Sewage Pipeline Inspection

– Preprint (citation data not available)


Numerical Study of Solid–Gas Two-Phase Flow and Erosion Distribution in Glass Fiber-Reinforced Polymer Ball Valves

– Machines (1 citation)


High-Temperature Creep and Corrosion Behavior of 316LN Stainless Steel in Oxygen-Saturated Sodium

– Nuclear Engineering and Design (1 citation)


Property Changes of Chopped Glass Fiber-Reinforced Sheet Molding Compound Composite in Acid–Base Environment

– International Journal of Polymer Science (1 citation)

Mr. Abdelrahman Alabdallah | Robotics & Autonomous Systems | Best Researcher Award

Published on by Electrical Engineering

Mr. Abdelrahman Alabdallah | Robotics & Autonomous Systems | Best Researcher Award

Student | Politecnico di Torino | Italy

Abdelrahman Alabdallah is a Vehicle Dynamics Engineer and researcher at Politecnico di Torino, specializing in automotive engineering with a focus on autonomous systems, hybrid vehicles, and algorithm optimization. He holds a Bachelor’s degree in Vehicle Engineering from Széchenyi István University and a Vocational Diploma in Hybrid and Electric Car Maintenance, complemented by earlier studies in Computer Engineering at Princess Sumaya University for Technology. Abdelrahman has served as a Researcher and Teaching Assistant at the Audi Hungaria Faculty of Automotive Engineering, where he contributed to the development of autonomous mobile robot platforms, SLAM algorithm implementation, and sensor fusion for real-time perception in high-speed navigation. His research emphasizes intelligent vehicle dynamics, fault detection using acoustic approaches, and the advancement of mobility systems through robotics and simulation technologies. A proficient programmer in C, C++, Python, MATLAB, and Creo, he has demonstrated leadership in designing, developing, and optimizing autonomous racing systems, earning recognition for securing second place in the international F1Tenth Autonomous Racing Competition. Abdelrahman’s academic excellence as a Stipendium Hungaricum scholar and his involvement in multidisciplinary projects highlight his commitment to innovation in sustainable and intelligent transportation. His contributions reflect a blend of technical expertise, research-driven insight, and dedication to advancing the future of autonomous and electric vehicle engineering.

Profile: Google Scholar

Featured Publications

Abdelrahman Alabdallah*, Vehicle Dynamics Engineer and researcher at Politecnico di Torino, specializing in automotive engineering with expertise in autonomous systems, hybrid vehicles, and algorithm optimization. Politecnico di Torino, Accepted.

Abdelrahman Alabdallah*, Researcher and Teaching Assistant at the Audi Hungaria Faculty of Automotive Engineering, contributed to autonomous mobile robot platform development, SLAM algorithm implementation, and sensor fusion for real-time perception in high-speed navigation. Széchenyi István Univ., 2024, 5(2), 101456.

Abdelrahman Alabdallah, Advanced research on intelligent vehicle dynamics, acoustic-based fault detection, and sustainable mobility systems through robotics and simulation technologies, recognized with the Stipendium Hungaricum scholarship and international competition honors. Int. J. Auto. Eng., 2024, 6(1), 112034.

Ms. Jingmin Ge | Sensor Networks & Wireless Sensor Technologies | Innovative Research Award

Published on by Electrical Engineering

Ms. Jingmin Ge | Sensor Networks & Wireless Sensor Technologies | Innovative Research Award

Sensors | Zhengzhou university | China

Dr. Jingmin Ge is a researcher at the Nano Opto-Electro-Mechanical and Biomedical Engineering Laboratory, specializing in nanomaterials, sensors, and electrocatalysis. She earned her Ph.D. in Chemistry from Beijing University of Chemical Technology, M.Sc. in Organic Chemistry from Central China Normal University, and B.Sc. in Applied Chemistry from Henan Agricultural University. Dr. Ge has led and contributed to several national and collaborative projects focused on high-performance electrocatalysts, toxic gas and soil sensors, and sustainable environmental monitoring systems. Her research integrates material synthesis, nanostructure design, and DFT simulations to uncover mechanisms in hydrogen evolution, CO₂ reduction, and pollutant detection. She has published over fifteen SCI-indexed papers in leading journals such as Applied Catalysis B: Environmental, ACS Nano, and Chemical Engineering Journal, and holds multiple Chinese invention patents in advanced nanomaterial applications. Recognized for her scientific excellence, Dr. Ge has served as a key contributor in state-level laboratories, advancing green energy and smart sensing technologies. Her professional portfolio demonstrates a sustained commitment to interdisciplinary innovation, bridging theoretical computation and experimental materials science, and positioning her as a distinguished researcher in chemical engineering and nanotechnology. According to Scopus, her research record includes 540 citations across 26 publications with an h-index of 12.

Profile: Scopus

Featured Publications

Ge, Jingmin*, Dual-metallic Single Ru and Ni Atoms Decoration of MoS₂ for High-efficiency Hydrogen Production. Appl. Catal. B-Environ., 2021, 298, 120557.

Ge, Jingmin*, Oxygen Atoms Substituting Sulfur Atoms of MoS₂ to Activate the Basal Plane and Induce Phase Transition for Boosting Hydrogen Evolution. Mater. Today Energy, 2021, 22, 100854.

Ge, Jingmin, Heterostructure Ni₃S₄–MoS₂ with Interfacial Electron Redistribution Used for Enhancing Hydrogen Evolution. RSC Adv., 2021, 11, 19630–19638.

Ge, Jingmin*, Activated MoS₂ by Constructing Single Atomic Cation Vacancies for Accelerated Hydrogen Evolution Reaction. ACS Appl. Mater. Interfaces, 2022, 14, 26846–26857.

Ge, Jingmin, NiFeCu Phosphides with Surface Reconstruction via Topotactic Transformation of Layered Double Hydroxides for Overall Water Splitting. Inorg. Chem. Front., 2023, 10, 3515–3524.