Esmaeili Nazila

Nazila Esmaeili is a Researcher at the Chair of Computer Science Applications in Medicine, Technical University of Munich (TUM). Her work bridges biomedical engineering, machine learning, and surgical robotics, focusing on vibroacoustic sensing and medical imaging technologies.

• Research Areas: Biomedical Engineering, Machine Learning, Vibroacoustic Sensing, Surgical Robotics
• Email: nazila.esmaeili@tum.de

Her research explores vibroacoustic sensing for tissue characterization, leveraging deep learning and signal processing to enhance diagnostic accuracy in laryngeal and vocal fold lesions. She also develops surgical audio guidance systems and automated tools for laparoscopic and needle interventions.

Recent publications highlight applications of deep clustering methods, proximal vibroacoustic sensing, and neural networks in differentiating cartilage degeneration, identifying peritoneum puncture events, and classifying vascular patterns in endoscopic imaging. Her work spans minimally invasive surgery, medical imaging, and robot-assisted procedures.

For collaboration or inquiries, contact nazila.esmaeili@tum.de.