Mostafa Orban - Biorobotics - Best Researcher Award
Chinese academy of science and technology - China
AUTHOR PROFILE
🎓 EARLY ACADEMIC PURSUITS
Mostafa Essam Lotfy Orban’s academic journey began with a strong foundation in mechanical engineering at Benha University, where he consistently ranked as the top student for five consecutive years. His passion for robotics and biomedical applications led him to pursue a master's degree at Xi’an Jiaotong University, where he specialized in bio-robotics and intelligent systems. His early research focused on prosthetic control using sEMG signals, laying the groundwork for his future innovations in biomedical engineering.
🤖 PROFESSIONAL ENDEAVORS
Orban’s career spans multiple prestigious institutions, from Benha University to the University of Science and Technology of China. As a research assistant, he contributed to cutting-edge projects in robotics, machine-human interaction, and prosthetic technology. His expertise in biomedical signal processing allowed him to develop innovative EEG- and EMG-based devices for rehabilitation and assistive technologies.
🔬 CONTRIBUTIONS AND RESEARCH FOCUS
His research revolves around the integration of robotics and biomedical engineering, focusing on developing rehabilitation robots, smart wheelchairs, and human-machine interfaces. By leveraging sEMG and EEG signals, he has contributed to advancements in prosthetic hand control, providing more precise and intuitive movement for users. His work in 3D printing and CNC machining further showcases his multidisciplinary expertise.
🏆 ACCOLADES AND RECOGNITION
Orban has received numerous awards, including the prestigious Sanqin Scholarship for Excellent Overseas Students and the Excellent Postgraduate Student Award from Xi’an Jiaotong University. He was honored as an international student ambassador and represented his university at its 125th-anniversary celebrations. His groundbreaking research in prosthetics and robotics has been published in renowned scientific journals and conferences.
🌍 IMPACT AND INFLUENCE
His work has significantly influenced the fields of biomedical engineering and robotics, improving assistive technologies for individuals with disabilities. Through his contributions to multiple research projects, he has enhanced prosthetic design, control mechanisms, and rehabilitation robotics. His international collaborations and leadership roles have helped bridge technological advancements across different regions.
🚀 LEGACY AND FUTURE CONTRIBUTIONS
With a vision to revolutionize rehabilitation and assistive technology, Orban continues to push the boundaries of biomedical engineering. His ongoing research aims to refine brain-computer interfaces and develop smarter, more efficient prosthetic devices. His legacy lies in transforming healthcare through robotics and AI-driven solutions, paving the way for a more inclusive and technologically advanced future.
NOTABLE PUBLICATION
Title: A Review of Brain Activity and EEG-Based Brain–Computer Interfaces for Rehabilitation Application
Authors: M. Orban, M. Elsamanty, K. Guo, S. Zhang, H. Yang
Journal: Bioengineering
Title: Accurate Flexible Temperature Sensor Based on Laser‐Induced Graphene Material
Authors: H. Kun, L. Bin, M. Orban, Q. Donghai, Y. Hongbo
Journal: Shock and Vibration
Title: Magnetometer-free, IMU-based foot progression angle estimation for real-life walking conditions
Authors: T. Tan, Z. A. Strout, H. Xia, M. Orban, P. B. Shull
Journal: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Title: Empowering hand rehabilitation with AI-powered gesture recognition: A study of an sEMG-based system
Authors: K. Guo, M. Orban, J. Lu, M. S. Al-Quraishi, H. Yang, M. Elsamanty
Journal: Bioengineering
Title: A design of lower limb rehabilitation robot and its control for passive training
Authors: G. Masengo, X. Zhang, G. Yin, A. B. Alhassan, R. Dong, M. Orban, ...
Journal: IEEE International Conference Proceedings
Title: Soft pneumatic muscles: revolutionizing human assistive devices with geometric design and intelligent control
Authors: M. Elsamanty, M. A. Hassaan, M. Orban, K. Guo, H. Yang, S. Abdrabbo, ...
Journal: Micromachines