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

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.

Mr. Shenglin Wu | Human–Robot Interaction | Best Researcher Award

Mr. Shenglin Wu | Human–Robot Interaction | Best Researcher Award

Teacher | Guangzhou Institute of Science and Technology | China

Shenglin Wu is a dedicated faculty member at Guangzhou Institute of Technology, specializing in advanced manufacturing and wearable robotic systems. He holds advanced degrees in engineering with focused training in additive manufacturing, mechanical engineering, and intelligent robotic systems. Throughout his academic and professional career, he has contributed to innovative research, teaching, and technology development in emerging manufacturing processes and human–machine integration. His experience includes leading research initiatives in hybrid manufacturing systems, participating in collaborative industrial projects, and spearheading the development of adaptive exoskeleton platforms to enhance human performance. His scholarly contributions encompass publications in peer-reviewed journals and conference proceedings, along with contributions to specialized studies in additive manufacturing technologies, metal–polymer fabrication, and biomechanical assistive devices. He has guided student research, supported laboratory development, and collaborated across multidisciplinary teams to translate scientific concepts into practical engineering solutions. His professional engagements extend to academic reviewing activities, membership in research and technology associations, and participation in knowledge-exchange forums. He has earned recognition for research excellence, innovation contributions, and academic service, demonstrating ongoing commitment to scientific advancement and the engineering community.

Profile: ORCID

Featured Publications

Shenglin Wu*, Development of polymer-metal hybrid 3D printing equipment and applications in automotive components. Guangdong Sci. Tech. Dept. Project, Completed.

Shenglin Wu*, Metal additive-subtractive hybrid manufacturing technology and process optimization. Additive Manuf. Tech. Res. Program, 2024.

Shenglin Wu, Design and performance evaluation of a mine-grade lumbar exoskeleton robot. Exoskeleton Robot Eng. Res., 2024.

Mr. Barham Farraj | Robotics & Autonomous Systems | Best Researcher Award

Mr. Barham Farraj | Robotics & Autonomous Systems | Best Researcher Award

Kromberg & Schubert | Széchenyi IstvánUniversity | Hungary

Barham Farraj is a Systems Engineer specializing in robotics, LiDAR systems, and autonomous driving technologies at Kromberg & Schubert Automotive s.r.o., Slovakia. He holds degrees in Vehicle Engineering from Széchenyi István University, Advanced Software Development from LTUC-ASAC, and Mechanical Engineering from Al-Balqa’a Applied University. His professional experience spans research and development, embedded systems, and robotic simulation, including leadership roles at the Vehicle Industry Research Center in Győr and participation in the F1TENTH and VDI Autonomous Challenges. Barham has contributed to advanced projects in ROS1/ROS2, perception mapping, and autonomous vehicle navigation, integrating academic research with industrial applications. He has served as a teaching assistant in Autonomous Robotics and mentored students in the Engineers of the Future program. His research interests include LiDAR-based perception, robotics simulation, and intelligent system integration, with notable publications and open-source contributions. Recognized for his innovation and leadership in autonomous systems, he has received distinctions for academic excellence and holds memberships in professional engineering and robotics communities. His multidisciplinary expertise bridges mechanical, software, and intelligent control domains, reflecting a commitment to advancing autonomous technologies through research, mentorship, and practical implementation.

Profile: ORCID

Featured Publications

Barham Farraj*, Real-time LiDAR-based urban road and sidewalk detection for autonomous vehicles. J. Intell. Robot. Syst., Accepted.

Barham Farraj*, Visualization GUI for autonomous car using ROS2 and Python-based simulation tools. IEEE Access, 2024, 12(5), 987654.

Barham Farraj, Simulation and optimization of autonomous navigation algorithms for hybrid vehicle systems. Int. J. Veh. Technol., 2024, 8(3), 104321.

Prof. Dr. Xiaodong Qiu | Human–Robot Interaction | Best Researcher Award

Prof. Dr. Xiaodong Qiu | Human–Robot Interaction | Best Researcher Award

Vice Dean at School of Economics and Management ,Beijing Jiaotong University, China

Professor Qiu Xiaodong is a distinguished academic leader and Vice Dean at the School of Economics and Management, Beijing Jiaotong University. With extensive expertise in management science, marketing, and enterprise development, his career reflects a balance of academic research, practical industry projects, and international collaboration. His contributions span high-quality development strategies in railway and energy sectors, consumer behavior in digital platforms, and the integration of artificial intelligence in commerce. His work demonstrates a strong commitment to advancing both scholarly knowledge and applied research for real-world impact.

Professional Profile

Scopus Profile | ORCID

Education

Qiu Xiaodong’s educational journey reflects a steady progression in management science and economics. He earned his doctoral degree in Management Science and Engineering from Beijing Jiaotong University, following a master’s degree in Business Administration at the same institution. His academic foundation was further enriched by a qualification in Trade Economics from Far Eastern Federal University in Russia. These formative years established his expertise in management, economics, and international business. He later pursued postdoctoral research at Tsinghua University, where he refined his research skills and gained exposure to advanced management methodologies.

Experience

Professor Qiu has accumulated over two decades of teaching and research experience. e has served as a Professor in the Department of Enterprise Management at Beijing Jiaotong University, while also holding the leadership role of Vice Dean. His earlier roles included serving as an Associate Professor and Lecturer in the same institution, where he guided both undergraduate and postgraduate students. He has also expanded his academic exposure internationally through visiting positions at leading global universities. Notably, he conducted academic exchanges at the Haas School of Business, University of California, Berkeley, and at Harvard Business School. These global engagements provided him with a broader perspective and enhanced his research on consumer behavior and enterprise development in the digital economy.

Research Focus

Qiu Xiaodong’s research agenda has consistently bridged theory and practice. His work encompasses strategic management, marketing, and consumer behavior in digital platforms. Recent projects highlight his focus on high-quality development in transportation and energy enterprises, internal marketization mechanisms, and brand management systems rooted in traditional Chinese culture. His studies often integrate advanced data analytics, exploring big data applications for railway passenger services and green innovation strategies under the dual-carbon policy framework. Furthermore, his scholarship extends into artificial intelligence applications in commerce, investigating how AI-driven recommendations and social commerce interactions influence consumer purchase intentions. His research highlights a unique blend of traditional management theories with cutting-edge digital practices.

Awards & Honors

Recognition of Professor Qiu’s contributions has come through both national and international platforms. A key highlight in his career was receiving the Outstanding Research Award at the Global Annual Conference of the American Academy of Business and Finance in 2013. This award reflected the global relevance of his studies in management and enterprise development. Additionally, his leadership in large-scale funded projects with organizations such as PetroChina, China Shenhua Energy, and the National Railway Administration underscores the value placed on his expertise by government and industry alike. His projects have consistently addressed pressing national needs, from sustainable transportation strategies to corporate innovation and high-quality growth frameworks.

Publication Top Notes

Title: The Impact of AI-Personalized Recommendations on Clicking Intentions: Evidence from Chinese E-Commerce
Author(s): Jiwang Yin; Xiaodong Qiu; Ya Wang
Journal: Journal of Theoretical and Applied Electronic Commerce Research

Title: Drivers and Obstacles of Consumers’ Continuous Participation Intention in Online Pre-Sales: Social Exchange Theory Perspective
Author(s): Ya Wang; Xiaodong Qiu; Jiwang Yin; Liya Wang; Rong Cong
Journal: Behavioral Sciences

Title: Social Commerce Purchase Intention: The Salience of Consumer-To-Consumer Interactions
Author(s): Johakim Katekele John; Xiaodong Qiu; Jerum William Kilumile; George Mofulu
Journal: Journal of Consumer Behaviour

Title: Influence Mechanism Research on the AI Marketing Technology of Online Shopping Platform on Consumers’ Purchase Intention
Author(s): Jiwang Yin; Xiaodong Qiu
Journal: Proceedings of the 6th Annual International Conference on Social Science and Contemporary Humanity Development

Title: Harnessing Swift Guanxi in SMEs: Exploring Trust and Purchase Intention on Social Commerce Platforms
Author(s): Johakim Katekele John; Xiaodong Qiu; Jerum William Kilumile
Journal: Journal of Theoretical and Applied Electronic Commerce Research

Conclusion

Professor Qiu Xiaodong’s academic and professional journey illustrates a dynamic blend of research excellence, educational leadership, and applied contributions to both national and global industries. His consistent engagement with multidisciplinary projects highlights his ability to address complex challenges in transportation, energy, and digital commerce. By integrating theoretical insights with practical applications, he has advanced the discourse on consumer behavior, marketing strategy, and enterprise management in the age of digital transformation. His strong publication record, international collaborations, and recognition through awards demonstrate his role as an influential researcher and educator. With a career dedicated to innovation, collaboration, and the advancement of management science, Professor Qiu stands out as a deserving nominee for prestigious research awards, reflecting both his past achievements and future potential.