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• Dynamical Systems
• Control Theory
• Machine Learning
• +3 more

Mario Sinani is a Researcher and Teaching Assistant in the Department of Aeronautics at Imperial College London's Faculty of Engineering. His research focuses on dynamical systems, control theory, and machine learning applied to nonlinear systems and fluid-solid interactions. He develops data-driven models for nonlinear control of flexible structures interacting with fluid flows under supervision of Dr. Andrew Wynn (Flow Control Group) and Prof. Rafael Palacios (Load Control and Aeroelastics Lab). Education includes a PhD in Data-Driven Modelling and Nonlinear Control from Imperial College London, and MSc/BSc in Mechanical Engineering with a focus on Control Theory and Robotics from National Technical University of Athens. Prior to Imperial, he worked at CERN on particle detector technologies and as an R&D engineer in Zurich developing dynamic light control systems. Teaching responsibilities include Control Systems for MSc students, Flight Dynamics and Control for MEng Aeronautical Engineering, and Applied Aerodynamics courses. His research integrates advanced mathematical analysis with cutting-edge machine learning techniques to address complex fluid-structure interaction challenges in aerospace systems.

• Microengineering
• MEMS (Micro-Electro-Mechanical Systems)
• Optical Devices
• +5 more

Professor Eric Yeatman is a Professor of Microengineering at Imperial College London's Department of Electrical and Electronic Engineering, leading the department since 2015. His affiliations include the Hamlyn Centre for Robotic Surgery, the Data Science Institute, and the Energy Futures Lab. He specializes in microengineering, MEMS, energy harvesting, and medical robotics, with over 250 publications and patents. A Fellow of the Royal Academy of Engineering, IEEE, and IET, he received the Royal Academy of Engineering Silver Medal in 2011. Co-founder and Chair of Imperial-X, he also served as CEO and Chairman of Microsaic Systems, developing miniature mass spectrometers. His research bridges microelectronics and healthcare, focusing on energy-autonomous systems, tactile sensing, and minimally invasive surgical tools. Projects include thermally drawn fibers for medical catheters and AI-driven bionic systems. Over £25M in research funding has supported collaborations with industry and academic partners. Education: Details not specified in text. Awards: Royal Academy Silver Medal (2011), multiple fellowships. Grants: Principal investigator on 30+ projects with £25M funding. Labs: Hamlyn Centre, Energy Futures Lab, Space Lab.

• Robotics
• Point Cloud Registration
• Conformal Geometric Algebra
• +4 more

Adam Leon Kleppe is an Associate Professor at the Norwegian University of Science and Technology (NTNU) , affiliated with the Department of ICT and Natural Sciences. He works extensively with MANULAB , focusing on robotic welding labs and Industry 4.0 labs , handling procurement, planning, installation, and maintenance. His research spans robotics, geometric algebra, point cloud processing, and automation technologies. Education : Master in Engineering Cybernetics with a specialization in robotics from NTNU (2013); Ph.D. (2018) on Point Cloud Registration for Assembly using Conformal Geometric Algebra. Research Interests revolve around robotics, including inverse kinematics, point cloud alignment, obstacle detection, and geometric algebra applications. He also explores automation in manufacturing and aquaculture, such as deformable body modeling for salmon equipment testing and machine vision for fish bin picking. Publication Trends show a consistent focus on geometric algebra-based solutions for robotic tasks, with recent work extending into biomechanical simulation and aquaculture automation. Teaching includes courses like Mechatronics and Systems Integration , Automation and Mechatronics , and Industrial Control Systems . He also contributes to outreach via program management for AI videos on platforms like YouTube and LinkedIn.

Sadettin KapucuView profile

Professor

• Mechanical Engineering
• Robotics
• Mechatronics
• +11 more

Sadettin Kapucu is a Professor at the Department of Mechanical Engineering , Faculty of Engineering , Gaziantep University , Turkey. With over 30 years of academic experience, he specializes in robotics, mechatronics, TRIZ-based inventive problem-solving, and vibration control systems. His career spans roles from Research Assistant (1987-1990) to Professor (2006-present) at Gaziantep University, and he has served as Head of the Mechanics and Dynamics Division since 2016. His educational background includes a PhD (1994) and MS (1990) in Mechanical Engineering from Gaziantep University and METU, respectively. PhD: Gaziantep University (1994) MS: Middle East Technical University (1990) BS: Middle East Technical University (1987) Kapucu’s research focuses on robot dynamics , TRIZ methodology , flexible systems control , and mechatronic design . He has pioneered techniques like hybrid input shaping for vibration suppression and variable stiffness actuators for rehabilitation robotics. His work bridges theoretical innovation and practical applications in industrial, medical, and agricultural robotics. Scientific achievements include the 2019 2nd Best Paper Award at ICICT 'xx19 and the 2009 Elginkan Foundation Technology Award . He has supervised over 18 graduate theses and secured 13 research grants, including TÜBİTAK-funded projects on olive oil processing and telehandler design.

Abolfazl MohebbiView profile

Associate Professor

• Robotics
• Control systems
• Applied Artificial Intelligence
• +10 more

Abolfazl Mohebbi is an Associate Professor in the Department of Mechanical Engineering at Polytechnique Montréal. He directs the Polytechnique Laboratory for Assistive and Rehabilitation Technologies (POLAR) and holds the TransMedTech Research Chair in Assistive and Rehabilitation Technologies. His academic appointments also include Adjunct Professor at McGill University's Department of Biomedical Engineering and membership in numerous research networks including REPAR, FRQNT INTER cluster, Pediatric Rehabilitation Technology Park, and several biomedical engineering institutes. Professor Mohebbi's research focuses on robotics, control systems, and applied artificial intelligence with applications in biomedical engineering. His laboratory develops innovative robotic and biomechatronic technologies to help humans relearn, restore, or enhance their neuromotor performance. Specific research areas include human balance control modeling, joint neuromechanics, deep learning for medical diagnosis, sensory restoration in prosthetic users, custom exoskeleton design, and robotic rehabilitation systems. His recent publications (2022-2025) show a strong focus on rehabilitation robotics, with significant contributions to exoskeleton control, prosthetic feedback systems, neuromuscular modeling, and AI applications in medical diagnostics. The research demonstrates interdisciplinary collaboration across engineering, neuroscience, and clinical rehabilitation. Professor Mohebbi has received research funding from various organizations including NSERC, as evidenced by multiple grants awarded to Polytechnique Montréal researchers. His work demonstrates strong connections between academic research and clinical applications in rehabilitation engineering. He teaches courses in dynamic systems analysis, mechatronics, and dynamic measurement at Polytechnique Montréal and has supervised five graduate students to completion (one PhD and four Master's students) with research topics directly aligned with his laboratory's focus areas.