Elena De Momi, Associate professor

Biomedical Engineer

Research Areas:
Computer Vision, Soft Robots, Human-robot interaction

Polimi Campus Colombo
1st Floor
Via Colombo 40, 20133, Milan, Italy

Polimi Campus Leonardo
Ground Floor, building 7
Piazza Leonardo da Vinci 32, 20133, Milan, Italy

+02 2399 9017

Elena received her MSc in Biomedical Engineering in 2002, PhD in Bioengineering in 2006, and she is currently Associate Professor in the Electronic Information and Bioengineering Department (DEIB) of Politecnico di Milano. She is co-founder of the Neuroengineering and Medical Robotics Laboratory, in 2008, being responsible of the Medical Robotics section. IEEE Senior Member, she is currently Senior Editor of the Int. Journal of Robotics Research, Editor of the IEEE Robotics and Automation Magazine and Associate Editor of IEEE Transaction on Robotics and Robotics and Automation Letters. She has been Publication Chair and Co-Chair for IEEE ICRA 2019, 2023 and 2024 and is Program Chair of IROS 2025. She is responsible for the lab course in Medical Robotics, of the courses on Clinical Technology Assessment and Smart Hospital of the MSc degree in Biomedical Engineering at Politecnico di Milano and she serves in the board committee of the PhD course in Bioengineering and of the National PhD in Robotics and Intelligent Machines.

Interests & Projects

Her academic interests include computer vision and image-processing, artificial intelligence, augmented reality and simulators, teleoperation, haptics, medical robotics, human robot interaction. She participated to several EU funded projects in the field of Surgical Robotics (ROBOCAST and ACTIVE) and she was PI for partner POLIMI of the EuRoSurge and of the EDEN2020 project project, aimed at developing a neurosurgery drug delivery system. She is currently PI for POLIMI of the ATLAS MSCA-ITN-2018-EJD project, coordinator of the MSCA-IF-2017 – Individual Fellowships, and co-PI of the ARTERY project. She has been evaluator and reviewer for the European Commission in FP6, FP7 and H2020.

Courses held

Master of Science courses


During the first half of the course timeframe, students will attend lectures on – Geometrical transformations in space – Computer assisted surgical interventions and image guided surgery – Robots kinematics (direct and inverse), robot Jacobian – Dynamics (direct and inverse) – Robot control – force/ position control Practical lectures will be based on Matlab Tools for robotics. Visits to robotics laboratories in prestigious Italian research centres will be scheduled, as well as seminars by surgeons using robotic devices in the current routine. Every week, during classroom hours, small implementation projects on robotic tasks are assigned to students, supervised by two tutors. Each student can autonomously work on his/ her PC or consult class mates for help. Not completed project are assigned as homework and then uploaded on Beep. Solutions are uploaded by tutors, as well. Innovative teaching methods: To complement the project activities and to stimulate active learning, the structuring skills of thinking and knowledge and the assessment among colleagues, each group of students is responsible for examining a specific topic that will be presented and discussed with other students in flipped/blended classroom modality. Each group is supervised by a tutor of the lab. The exam method includes the evaluation of exercises, of the project and the interview on theory aspects explained during lecture hours. It should be noted that this is a limited number access course.


The course aims to provide methodological and operational foundations for technology assessment in clinical settings. Scientific tools will be provided which are necessary to an engineer for participating in the processes by which these technologies can be designed, regulated, introduced into the market and used in the healthcare system. The purpose is to provide objective elements required to develop decision-making policies for the proper use of technologies in clinical applications. The course will take advantage of the collaboration of Clinical Engineers operating in the healthcare facility which will illustrate practical examples and case studies.


The course offers students the possibility of acquiring knowledge and skills in the design of smart spaces for human care. Starting from the current trends in healthcare design, a new interdisciplinary approach is presented for the training activities of modern engineers. The goal of the course is to acquire knowledge of the most advanced technologies, spaces and infrastructures to manage patient care, including data and data transfer, advanced diagnostic, healthcare and hospital design, therapeutics and rehabilitation in spaces specifically designed to fully exploit them in the different medical areas of the hospital (inpatient room, diagnostic room, intensive care unit, surgical room, rehabilitation room, etc.). The professors involved in the course have different backgrounds and fields of interest related to biomedical engineering, hospital design, public health and healthcare management, etc. This multidisciplinary approach allows to enrich the knowledge to the student for overcoming the new frontiers in healthcare sector.

Find Us

NEARLab is located inside the Leonardo Robotics Labs space at Politecnico di Milano, piazza Leonardo da Vinci 32, Building 7, 20133, Milano, Italy
and at Campus Colombo in Via Giuseppe Colombo, 40, 20133 Milano MI


Monday to Friday: 8.00 A.M. – 20.00 P.M.


Website Maintainers
Alberto Rota, Mattia Magro, Alessandra Maria Trapani


Get in touch

or visit the Research Areas and contact the corresponding team directly