Assist. Prof. Dr. Ibrahim Seleem, Tokyo University of Science, Japan
Dr. Ibrahim A. Seleem is an accomplished researcher specializing in bioinspired robotics, motion planning, and human-robot interaction. Born on January 17, 1990, in Egypt, he holds a Ph.D. in Mechatronics and Robotics from Egypt-Japan University of Science and Technology (EJUST). With a passion for cutting-edge innovations, he has made significant contributions to soft robotics, especially in medical applications such as colonoscopy and rehabilitation. Dr. Seleem has a rich academic and research background, including postdoctoral positions in Japan. His work has been published in esteemed journals and conferences, showcasing his expertise in continuum robots and machine learning. Currently, he is a postdoctoral researcher at Tokyo University of Science, working on groundbreaking projects in robotics and automation. 🌟
🌍 Professional Profile:
Orcid
🏆 Suitability for the Young Scientist Award
Dr. Ibrahim A. Seleem‘s exceptional achievements in robotics and automation make him a standout candidate for the Young Scientist Award. At just 35, he has an impressive track record, including cutting-edge research on bioinspired and soft robotics for healthcare. His innovative solutions, such as extensible cable-driven robots for colonoscopy and wearable soft devices for rehabilitation, demonstrate ingenuity and societal impact. Dr. Seleem’s academic journey reflects excellence, with a Ph.D. and multiple postdoctoral positions in Japan, where he secured competitive grants and fellowships. His publications in prestigious journals, collaborative projects, and active participation in international conferences affirm his commitment to advancing robotics. Dr. Seleem exemplifies the spirit of a young scientist poised to revolutionize his field. 🚀🔬
🎓 Education
Dr. Ibrahim A. Seleem has a distinguished academic background in engineering and robotics. He earned his B.Sc. in Industrial Electronics and Control Engineering from Menoufia University, Egypt, where his thesis focused on designing and controlling a 5-axis CNC machine. He further pursued an M.Sc. in Mechatronics and Robotics at the Egypt-Japan University of Science and Technology (EJUST), working on trajectory generation and stability for under-actuated biped robots. His Ph.D., also from EJUST, explored demonstration-based pose planning and control for continuum robots, marking a significant contribution to robotic motion planning. Dr. Seleem’s academic credentials are bolstered by his scholarships and grants, underscoring his dedication to advancing knowledge and technology in robotics and control engineering. 🎓📚
🏢 Work Experience
Dr. Ibrahim A. Seleem brings over a decade of experience in teaching, research, and development. Starting as a Teaching Assistant at Menoufia University, he taught courses in nonlinear control systems, microcontrollers, and modular servo systems. He advanced to Assistant Professor and later pursued international research opportunities as a JSPS Fellow and Postdoctoral Researcher in Japan. At institutions like Waseda University and Tokyo University of Science, Dr. Seleem has worked on transformative projects in bioinspired and soft robotics, collaborating with renowned experts and publishing impactful studies. His work spans from designing tendon-driven robots to developing wearable rehabilitation devices, demonstrating his profound technical expertise and innovation in robotics. 🛠️🌍
🏅 Skills
Dr. Seleem possesses a robust skill set in robotics and automation. Proficient in programming languages such as MATLAB and Python, he excels in designing and simulating robotic systems. His expertise includes advanced tools like ROS, SolidWorks, and INVENTOR for robotic modeling and control. Multilingual, he communicates fluently in Arabic, English, and basic Japanese. Dr. Seleem’s academic skills encompass research, teaching, and publication using Office 365 and LATEX. His technical proficiency is matched by his creativity in solving complex problems in robotics and his ability to collaborate across disciplines, making him a valuable asset to any research team.
🔬 Research Focus
Dr. Ibrahim A. Seleem’s research revolves around bioinspired robotics, soft robotics, and human-robot interaction. His work aims to enhance the design, motion planning, and control of robots to address complex challenges, particularly in healthcare. Notable projects include developing tendon-driven soft robots with variable stiffness for minimally invasive procedures, pneumatic-actuated wearable devices for wrist rehabilitation, and imitation-based motion planning for continuum robots. Dr. Seleem integrates machine learning with robotics to achieve precise and adaptive control, making his research highly interdisciplinary. His focus on real-world applications, such as colonoscopy and rehabilitation, showcases the societal impact of his work, positioning him as a leader in robotics innovation. 🌐🔧
📊 Publication Top Notes:
Imitation-Based Motion Planning and Control of A Multi-Section Continuum Robot Interacting with the Environment
Citation: IEEE Robotics and Automation Letters, DOI: 10.1109/LRA.2023.3239306
Authors: Ibrahim A. Seleem, Haitham El-Hussieny, Hiroyuki Ishii
Year: 2023
Imitation-based Path Planning and Nonlinear Model Predictive Control of a Multi-Section Continuum Robots
Citation: Journal of Intelligent & Robotic Systems, DOI: 10.1007/s10846-023-01811-8
Authors: Ibrahim A. Seleem, Haitham El-Hussieny, Hiroyuki Ishii
Year: 2023
Recent Developments of Actuation Mechanisms for Continuum Robots: A Review
Citation: International Journal of Control, Automation and Systems, DOI: 10.1007/s12555-022-0159-8
Authors: Ibrahim A. Seleem, Haitham El-Hussieny, Hiroyuki Ishii
Year: 2023
Development and Stability Analysis of an Imitation Learning-based Pose Planning Approach for Multi-section Continuum Robot
Citation: IEEE Access, DOI: 10.1109/access.2020.2997636
Authors: Ibrahim Seleem
Year: 2020
Demonstration-Guided Pose Planning and Tracking for Multi-Section Continuum Robots Considering Robot Dynamics
Citation: IEEE Access, DOI: 10.1109/ACCESS.2019.2953122
Authors: Ibrahim A. Seleem, Samy F. M. Assal, Hiroyuki Ishii, Haitham El-Hussieny
Year: 2019
Development of a Demonstration-Guided Motion Planning for Multi-section Continuum Robots
Citation: 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), DOI: 10.1109/smc.2018.00066
Authors: Ibrahim Seleem
Year: 2018
Motion Planning for Continuum Robots: A Learning from Demonstration Approach
Citation: 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), DOI: 10.1109/roman.2018.8525601
Authors: Ibrahim Seleem
Year: 2018
Cyclic gait planning and control of underactuated five-link biped robot during single support and impact phases for normal walking
Citation: 2018 IEEE International Conference on Industrial Technology (ICIT), DOI: 10.1109/icit.2018.8352163
Authors: Ibrahim Seleem
Year: 2018
Sliding mode control of underactuated five-link biped robot for climbing stairs based on real human data
Citation: 2017 IEEE International Conference on Industrial Technology (ICIT), DOI: 10.1109/icit.2017.7915475
Authors: Ibrahim Seleem
Year: 2017
A Neuro Fuzzy-Based Gait Trajectory Generator for a Biped Robot Using Kinect Data
Citation: 2016 3rd International Conference on Information Science and Control Engineering (ICISCE), DOI: 10.1109/icisce.2016.168
Authors: Ibrahim Seleem
Year: 2016