Scuola superiore sant'anna
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Andrea Mariani
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Andrea Mariani, (gender: male, date of birth: 28/04/1993) received his B.Sc. degree with Hons. and M.Sc. degree with Hons. in Biomedical Engineering in Politecnico di Milano in 2015 and 2018, respectively. He also achieved the Alta Scuola Politecnica diploma with Hons. in 2018. He attended a visiting period at the Johns Hopkins University (Baltimore, Maryland), specifically working in the Laboratory for Computational Sensing and Robotics. He spent a trainship period in the Neuroengineering and Medical Robotics lab. He is currently a PhD student in Biorobotics at SSSA. His research focuses on simulation-based training for robot assisted surgery and high intensity ultrasound therapeutic technologies. He has been involved in international projects, including an Intuitive Technology Research Grant, FUTURA2020, KUKA Innovation Awards 2020, AfCam.
Contributo in Atti Convegno (Proceeding)
- Morchi, L.; Mariani, A.; Cafarelli, A.; Diodato, A.; Tognarelli, S.; Menciassi, A.
A Pilot Study for a Quantitative Evaluation of Acoustic Coupling in US-guided Focused Ultrasound Surgery
2517-2520 Engineering in Medicine and Biology Society (EMBC), Annual International Conference of the IEEE Institute of Electrical and Electronics Engineers (2019)
Volume nr. : 369
Issue nr. : 1 - Enayati, N.; Okamura, A. M.; Mariani, A.; Pellegrini, E.; Coad, M. M.; Ferrigno, G.; De Momi, E.
Robotic Assistance-as-Needed for Enhanced Visuomotor Learning in Surgical Robotics Training: An Experimental Study
6631-6636 Proceedings - IEEE International Conference on Robotics and Automation Institute of Electrical and Electronics Engineers Inc. (2018)
Issue nr. : 1 - Mariani, A.; Pellegrini, E.; Enayati, N.; Kazanzides, P.; Vidotto, M.; De Momi, E.
Design and Evaluation of a Performance-based Adaptive Curriculum for Robotic Surgical Training: A Pilot Study
2162-2165 Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS Institute of Electrical and Electronics Engineers Inc. (2018)
Volume nr. : 2018-
Issue nr. : 1
Andrea's research focuses on simulation-based training for robot assisted surgery and high intensity ultrasound therapeutic technologies. Regarding the former, he is working on artificial intelligence mentoring for skill learning in robotic surgery, autonomous camera navigation techniques, sensorized technologies for training and haptic guidance. As far as it concerns high intensity focused ultrasound, his reasearch deals with temperature estimation from ultrasound data.
He has been involved in international projects, including an Intuitive Technology Research Grant, FUTURA2020, KUKA Innovation Awards 2020, AfCam.