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Benoit Rosa is currently a CNRS Researcher within the Robotics, Data science, and Healthcare technologies Team at the ICube Laboratory, University of Strasbourg. Previously, he was a Research Fellow at the Pediatric Cardiac Bioengineering Lab, Boston Children's Hospital, Harvard Medical School (2015-2016), and a postdoctoral fellow in the Robot Assisted Surgery group at the Mechanical Engineering department of KU Leuven, Belgium (2013-2015). He received his Ph.D. in 2013 from Pierre & Marie Curie University (now Sorbonne University) under the supervision of Pr. Guillaume Morel and Pr. Jerome Szewczyk. His PhD was awarded the best PhD thesis award by the CNRS research group on robotics for 2013. Prior to his PhD, he obtained an Engineering Degree (equivalent to a Master's) from Ecole Centrale Paris. Rosa's research focuses on surgical robotics and image-guided control, with particular expertise in the design and control of miniature, distally-actuated and flexible systems for minimally invasive surgery. His work spans from mechatronic design of minimally invasive surgical devices to advanced control algorithms for surgical robots. Key areas include continuum robotics, visual servo control, surgical tool segmentation, and OCT-guided interventions. His research has significant applications in cardiac surgery, endomicroscopy, and various minimally invasive procedures, with a strong emphasis on translating theoretical robotics into practical clinical solutions. His recent publications demonstrate a growing trend toward applying deep learning techniques to enhance surgical robotics, with focus on autonomous systems that improve precision and reduce surgeon cognitive load while addressing challenges in medical imaging and surgical navigation. Scientific Awards: Best PhD thesis award by the CNRS research group on robotics (2013) Rosa has led multiple significant research projects including Image-based tracking of continuum robots (ongoing), Robot-assisted endomicroscopy (2010-2013), Beating heart intracardiac cardioscopy-guided interventions (2015-2019), and Intuitive control of active catheters (2014-2015). His work has resulted in numerous patents and collaborations with leading medical institutions worldwide, securing research funding for advancing surgical robotics technology. He actively participates in the academic community through invited talks and workshops, and maintains strong collaborations with institutions including Harvard Medical School, KU Leuven, and various French research entities, bridging theoretical robotics with practical clinical applications across multiple medical specialties.

• Surgical Robotics
• Minimally Invasive Surgery
• Continuum Robots
• +4 more

Pierre Renaud is a Professor at INSA Strasbourg and Deputy Director of the ICube laboratory, specializing in Medical and Surgical Robotics, Mechatronics, and Additive Manufacturing. His research focuses on developing advanced robotic systems for healthcare applications, including surgical robots, compliant mechanisms, and MRI-compatible devices. He leads projects such as SPIRIT (multi-material additive manufacturing for medical robotics) and contributes to national initiatives like TIRREX and LABEX CAMI. Education: PhD in Mechanics from Université Clermont-Auvergne (2003), M.Sc. from ENS Cachan (1998), and Agrégation in Mechanical Engineering (1999). Visiting Associate Professor at Stanford University (2010–2011) as a Fulbright Fellow. Research Themes: Mechatronics for medical robotics, compliant systems, additive manufacturing integration, and tensegrity-based robots. Collaborates with IHU Strasbourg for surgical technology development and Axilum Robotics for industrial applications. Key Projects: Robotic assistance for interventional radiology, magnetic elastography, and beating heart surgery. Active in international collaborations (e.g., ANR, H2020 ITN ATLAS). Labs/Teams: Head of the Robotics, Data Science, and Healthcare Technologies group at ICube. Engaged in Equipex IRIS and ROBOTEX platforms for robotic innovation.

• Medical and Surgical Robotics
• Robotics
• Mechatronics
• +5 more

Floris van Doorn is a Professor at the University of Bonn's mathematical institute, where he leads the Formalized Mathematics workgroup. His research focuses on making it viable to formalize research mathematics in proof assistants that can check the correctness of such proofs. His main research interests include: Formalized Mathematics Proof Assistants (particularly the Lean Theorem Prover) Homotopy Type Theory Automated Theorem Proving Mathematical Logic Formal Verification Van Doorn's recent publications demonstrate significant trends in formalizing advanced mathematical concepts. His work consistently bridges foundational theoretical development with substantial applications across mathematical disciplines. Notably, he has led formalizations of deep results like Carleson's theorem in analysis, the sphere eversion theorem in topology, and the independence of the continuum hypothesis in set theory. These projects reveal an evolution from foundational work on type theory toward increasingly sophisticated formalizations of mainstream mathematical research, demonstrating that proof assistants can handle complex geometric and topological reasoning beyond purely algebraic domains. His notable recognition includes: Skolem award (2025) for "The Lean Theorem Prover (System Description)" As an educator and mentor, van Doorn has supervised multiple researchers who have joined his formalization group in Bonn, including Maria, Michael, and Arend as of October 2024. He has developed significant educational resources for the community, including the Natural Number Game and the book "Mathematics in Lean." His leadership in developing and maintaining the mathlib library has been instrumental in establishing Lean as a leading platform for formalized mathematics. Van Doorn leads the Formalized Mathematics group at the University of Bonn, which focuses on ambitious collaborative projects. Recent initiatives include the Carleson project (formalizing Carleson's theorem), the Polynomial Freiman-Ruzsa Conjecture formalization completed in November 2023, and the sphere eversion project that formalized Gromov's h-principle. These projects involve large-scale international collaborations and demonstrate how formal verification can contribute to mathematical understanding while pushing the boundaries of what's possible with proof assistants.

• Formalized Mathematics
• Proof Assistants
• Homotopy Type Theory
• +3 more

Salih Abdelaziz is an Assistant Professor at the University of Montpellier and a Researcher at CNRS-LIRMM (Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier). His work focuses on robotics, compliant mechanisms, and control systems. Role: Assistant Professor Institution: University of Montpellier Lab: LIRMM His research interests include: Compliant continuum robots with improved stiffness Kinetostatic analysis and soft tensegrities Energy methods for modeling bistable mechanisms Nonlinear control strategies for tensegrity systems Contact details: Email: salih.abdelaziz@lirmm.fr Phone: +33 4 67 41 85 57 Address: CNRS-LIRMM/University of Montpellier, Bat 4, 161 rue ADA, Cedex 5 Montpellier, FRANCE 34095

• Robotics
• Mechanical Engineering
• Control Systems
• +5 more

Professor Eric Lecolinet is a faculty member at Télécom Paris, Institut Polytechnique de Paris, leading the DIVA (Design, Interaction, Visualization & Applications) research team within the LTCI laboratory. He is also President of the French-speaking Human-Machine Interaction Association ( AFIHM ). Education & Qualifications He earned his Habilitation à diriger des recherches (HDR) in 2018 from Université Paris-Saclay, specializing in Computer Science and Human-Computer Interaction, with a thesis entitled “Making Interaction Gestural: Expressivity and Memorability of Gestures” . Research Interests His research spans: Touch and tactile interfaces, including artificial skin and multi-modal feedback. Graphical and gestural user interfaces for mobile, wearable, and immersive systems. Virtual and augmented reality interaction techniques, with emphasis on safety and memory effects. Interactive visualization and novel display platforms, notably the Digiscope high-performance visualization network. Publications & Trends Over the past five years, Professor Lecolinet’s work has concentrated on: Understanding and designing haptic interfaces that leverage artificial skin (Skin-On) and pneumatic feedback for affective communication. Exploring security and ethical implications of perceptual manipulations in VR, including memory distortions and physical risks. Developing compact gesture vocabularies for small surfaces and confined spaces, combining marking menus, finger-count shortcuts, and multi-modal feedback. Scientific Awards & Honors No specific awards are listed in the provided material, but he is recognized through leadership roles: President of AFIHM, member of the LTCI laboratory council, and scientific head of Télécom Paris Fablab. Teaching & Advising He directs the Master Interaction, Graphics & Design (IGD) at IP Paris and co-directs the 3D & Interactive Systems engineering track (IGR). He teaches courses on: Human-Computer Interaction Interactive 2D/3D and mobile application development Programming paradigms (C/C++, Qt, Swing) Current PhD students include Yang Liu and Elise Bonnail . Labs & Teams He leads the DIVA group (≈25 researchers) and oversees the PIXLS and IRIS platforms within the Equipex+ Continuum and former Digiscope networks. He also manages the Télécom Paris Fablab , a digital fabrication laboratory serving both research and education.

• Human-Computer Interaction
• Touch and Tactile Interfaces
• Gesture-Based Interaction
• +5 more

Simon Dumas is a Postdoctoral Researcher affiliated with the Institut Curie in Paris, France. He is associated with the research team Macromolecules and Microsystems in Biology and Medicine (MMBM) under the Cell Physics and Cancer (UMR168) unit. His work focuses on the intersection of microfluidics, magnetic manipulation, and biomedical applications. His research interests include: Microfluidic device design for biomedical diagnostics Magnetic particle modeling and manipulation Droplet-based assays for single-cell and multiomic analysis 3D tissue engineering and cellular alignment Nanoparticle coatings for genomic targeting Tumor-on-a-chip modeling for precision therapy Simon has published extensively on magnetic microtools, including innovations in Magnetic Microtweezers for bioseparation and Multiomic Droplet-Based Assays for ultra-low input samples. His work spans theoretical modeling, device fabrication, and biological applications, particularly in cancer research and cellular engineering. Recent publications highlight advancements in: Remote magnetic actuation of 3D cellular structures Continuum modeling of particle flows in microfluidic suspensions Hybrid in silico and tumor-on-a-chip protein behavior analysis VEGF-functionalized beads for angiogenic disease treatment

• Microfluidics
• Magnetic Particle Manipulation
• Cellular Engineering
• +3 more

Bernard Bayle is a Professor at the University of Strasbourg and a member of the ICube Laboratory within the Robotics, Data Science, and Healthcare Technologies research group, which he headed from 2018 to 2023. He leads the HealthTech Interdisciplinary Institute that combines an interdisciplinary research cluster with a graduate school. His research focuses on the design, modeling, and control of robotic systems, particularly for healthcare applications including physical human-robot interactions and robot-assisted medical interventions. He teaches courses in Mechatronics and Haptics, Mobile Robotics, and Robot-Assisted Interventions at Télécom Physique Strasbourg. His research has resulted in over 100 scientific publications, 33 journal papers in top robotics and engineering venues, and 7 patent applications. His research primarily explores robotics applications in medical contexts, including surgical assistance, rehabilitation technologies, and diagnostic systems. Recent work focuses on haptic feedback systems, continuum robots, and autonomous medical intervention platforms. He has supervised 19 PhD students and led 5 research projects as principal investigator while participating in 11 others. His lab focuses on developing robotic solutions for healthcare challenges through interdisciplinary collaboration.

• Robotics
• Medical Robotics
• Human-Robot Interaction
• +2 more

Dr. Hadrien Courtecuisse is a Researcher (Chargé de Recherche) at CNRS, affiliated with the AVR/ICube team in Strasbourg since 2013. He holds a Ph.D. in Computer Science from Inria (2011), specializing in parallel architectures for medical simulations. His postdoctoral work at Cardiff University (2012) focused on biomechanical modeling of soft tissues. He later contributed to the Institut Hospitalo-Universitaire (IHU) as a research engineer. His expertise spans sparse linear algebra, real-time simulations, GPU computing, and medical robotics, particularly in surgical training systems and robotic control using inverse finite element models. Education: Ph.D., SHAMAN Team, Inria (2011) Postdoctoral Research, IMAM, Cardiff University (2012) Research Interests: Courtecuisse’s work emphasizes real-time computational methods for medical applications, including deformable object simulation, haptic feedback, and robotic assistance. He develops algorithms for contact response, topological changes, and parallel computing to enhance surgical training and robotic precision. His contributions address challenges in needle insertion, soft tissue interaction, and real-time error control in surgical simulations. Awards & Recognition: No specific scientific awards mentioned. Key Projects: MIMESIS Project (Inria): Focuses on medical robotics and real-time simulation for therapy planning. SOFA-FrameWork: Contributed to open-source simulation software for deformable objects and haptics. Calipso: Image editing via physics-based CAD models. Labs & Teams: Active in the AVR/ICube team at CNRS, collaborating with Inria and international institutions like Cardiff University.

• Medical Robotics
• Real-Time Simulations
• Finite Element Methods
• +3 more

D. Caleb Rucker is a robotics researcher specializing in continuum robotics for medical applications, particularly concentric tube robots used in minimally invasive surgery. His work focuses on mechanical modeling of bending, torsion, and variable precurvature in multi-tube active cannulas. Dr. Rucker's research interests center on surgical robotics and mechanical modeling of continuum robots. His work develops coordinate-free energy formulations that account for general preshaping of component tubes and explicitly include both bending and torsion throughout the device, resulting in significantly more accurate models than previous approaches. His research demonstrates that incorporating torsional flexibility reduces model prediction error by 82% over calibrated bending-only models, making substantial contributions to the precision of surgical robotics in constrained environments. Dr. Rucker collaborates extensively with Robert J. Webster III and other researchers in the surgical robotics field, contributing to the development of more accurate mechanical models for continuum robots used in medical procedures.

• Continuum robotics
• Surgical robotics
• Concentric tube robots
• +2 more

Eric Monteiro is a Lecturer at École Nationale Supérieure d'Arts et Métiers (ENSAM) and Academic Director of the Master 1 Factory of the Future program. He is affiliated with the Laboratory for Processes and Engineering in Mechanics and Materials (PIMM), specifically within the DISCO research team focusing on Laser Processes. His research spans several key areas in mechanical engineering and materials science: Structural Health Monitoring : Developing advanced Lamb wave-based techniques for damage detection using signal processing and machine learning approaches Topology Optimization : Creating constrained natural element methods for stress and fatigue-constrained design optimization Polymer Processing : Modeling viscohyperelastic behavior in manufacturing processes like stretch blow molding Computational Mechanics : Developing novel numerical methods including hybrid twin approaches and meshfree techniques Laser Processes : Researching applications in materials processing and manufacturing His recent publications demonstrate a strong focus on computational methods development, with applications spanning structural optimization, wave propagation analysis, manufacturing process simulation, and material behavior modeling. This work consistently combines theoretical frameworks with experimental validation. As Academic Director, he oversees the Master 1 Factory of the Future program while maintaining an active research portfolio through PIMM laboratory, which provides access to experimental platforms for materials characterization and advanced manufacturing processes.

• Structural Health Monitoring
• Topology Optimization
• Polymer Processing
• +3 more

Rochdi MERZOUKI is a Professor at the University of Lille, serving as Teacher Thematic Group Facilitator for ToPSyS (Tolerance Prognosis System of Systems), Team Leader of SoftE, and Member of the Scientific Council. He maintains offices at Polytech'Lille (F001) and ESPRIT (S3.29) on the Scientific City campus within the Polytechnic School of Lille and Department of Information Technology and Telecommunications. His research spans Robotics (focusing on flexible/continuum manipulators and robotic satellites), System of Systems modeling using hypergraph approaches, Control Theory for autonomous vehicles and deformable manipulators, and Artificial Intelligence applications in 3D printing automation. Key methodologies include parametric curve-based dynamic control, stochastic supervision frameworks, and predictive modeling for resilient system design in construction and medical applications. His work bridges theoretical advances with practical implementations in autonomous navigation, low-carbon cementitious printing, and adaptive radiotherapy. Professor MERZOUKI has supervised 15 doctoral theses covering diverse domains: Autonomous navigation of heterogeneous robotic satellites (Loic Bal) AI-based prediction for robotic 3D printing with low-carbon materials (Ame Saleh Ali) Hypergraph modeling of multi-level stochastic systems (Steeve Kamga Mbakop) Dynamic control of flexible continuum manipulators (Jun Jiang) Resilient system of systems design (Ahmad Koubeissi) Unified system of systems modeling (Gerardo Ayala Jaimes) Control of over-actuated omnidirectional vehicles (Yehya Sharif) Robotization of communicating wheelchairs (Othman Lakhal) Hyper-redundant robots for construction (Ismail Bensekrane) Energy planning for autonomous driving (Ali Raad) Predictive models for adaptive radiotherapy (Abdeslem Smahi) Large-scale system monitoring for biological/water systems (Inderjeet Singh) Curve-based shape reconstruction of continuum manipulators (Xinrui Yang) 3D printing automation in uncontrolled environments (Thor Enrique Morales Bieze) Kinematic modeling of deformable manipulators (Publications DIARY) He leads the SoftE research team and is affiliated with CRIStAL laboratory, focusing on integrated system design, predictive prognosis, and cross-domain applications from aerospace to medical robotics. His supervision record demonstrates sustained research leadership from 2015 through 2024 in emerging engineering domains.

• Robotics
• System of Systems
• Control Theory
• +4 more

Othman LAKHAL serves as a Lecturer at Polytech Lille, part of the University of Lille. His offices are located in the Polytech'Lille building (C002) and ESPRIT building (S0.10) on the Scientific City campus. He is affiliated with the SoftE research team and maintains professional contacts through ULille's institutional page. Dr. LAKHAL earned his PhD in 2016 with a thesis titled 'Contribution to the modeling and control of hyper-redundant robots: application to additive printing in construction,' supervised by Rochdi Merzouki. His doctoral work established foundational research in robotic construction systems. His research spans Automation , Robotics , and Control Systems , with specialized focus on hyper-redundant continuum-rigid hybrid robotic arms for construction applications. Key challenges addressed include shape tracking precision and environmental interaction dynamics in additive manufacturing processes. As a supervisor, Dr. LAKHAL has guided PhD candidate Mohamed Amine Ammar in research on 'Modeling and dynamic control of a class of Continuum-Rigid hybrid arms: shape tracking and interaction with the environment,' demonstrating continuity in robotic control systems research. He actively contributes to the SoftE research team, which focuses on software engineering solutions for complex technical systems, and maintains institutional presence through University of Lille's directory and organizational structure.

• Automation
• Robotics
• Control Systems
• +1 more