Carlos Rossa

Carlos Rossa is an Associate Professor at Carleton University's Faculty of Engineering and Design. His research focuses on medical robotics, autonomous systems, and human-robot interaction, with key contributions in robot-assisted surgery, haptic feedback systems, and image-guided interventions. He holds a Ph.D. from Sorbonne Université (UPMC) and has extensive experience in developing innovative surgical tools and training simulations.

Education:

• Ph.D. in Engineering, Sorbonne Université (UPMC)

Research Interests:

• Medical Robotics & Needle Steering
• Robot-Assisted Surgery & Imaging
• Haptic Feedback Systems
• Ultrasound & Bioimpedance Imaging
• Autonomous Surgical Systems

His work bridges robotics, computer science, and biomedical engineering to address challenges in minimally invasive surgery and rehabilitation.

Recent Work: Recent publications emphasize advancements in needle tracking algorithms, real-time tissue classification via dielectric spectroscopy, and Doppler-based motion estimation for autonomous systems. These studies highlight trends in integrating AI-driven sensor fusion and multi-modal imaging for surgical precision.

Awards & Recognition:

• Notable contributions in IEEE journals/conferences on medical robotics.

Advising & Labs:

• Focuses on graduate student mentorship in robotics and biomedical engineering.
• Labs: Medical Robotics & Surgical Simulation Lab (MRSSL) at Carleton University.