Publications and Awards
Rehab Technologies Lab is an award-winning research line of IIT and our teams actively support the scientific community with many publications, dissemination talks and other accomplishments.
Scientific Talks
2024
Bonati L.
Combining machine learning and enhanced sampling to study catalytic processes under operando conditions
Initiative for Computational Catalysis Inaugural Workshop, Flatiron Institute, New York, 19-20/02/24
Workshop/Symposium
2024
Bonati L.
Machine learning & enhanced sampling: a synergistic interplay
1st ViRAPID (Vienna Research Platform on Accelerating Photoreaction Discovery) workshop, University of Vienna, 26-29/02/24
Workshop/Symposium
2023
Bonati L.
A unified framework for machine learning collective variables for enhanced sampling: mlcolvar
Biomolecular & Pharmaceutical Modelling Group, University of Geneva, 30th June 2023
Institute
2023
Bonati L.
Enhancing sampling with machine learning: from data-driven collective variables to realistic applications in heterogeneous catalysis
MolSSI Workshop: Machine Learning and Chemistry: Are We There Yet? 31 May - 2 June, University of Maryland (USA)
Workshop/Symposium
2023
Bonati L.
Machine learning collective variables for enhanced sampling
CECAM Workshop: Machine learning collective variables for enhanced sampling, 5th July 2023, EPFL (CH)
Workshop/Symposium
2023
Bonati L.
Machine learning collective variables for enhanced sampling simulations
Molecular Biophysics, Stockholm (remote talk), 12th December 2023
Institute
2023
Bonati L.
Machine learning & enhanced sampling: a synergistic interplay
CECAM workshop Quantum2, 29th November 2023, EPFL (CH)
Workshop/Symposium
2022
Bonati L.
Deep learning the slow modes for rare events sampling
CECAM Workshop: Machine Learning Augmented Sampling for the Molecular Sciences, 11-13 May, EPFL Lausanne (CH)
Workshop/Symposium
2022
Bonati L.
Free energies and enhanced sampling
“Machine Learning for Materials Hard and Soft” ESI-DCAFM-TACO-VDSP Summer School, 11-22 July, Vienna
School (Summer school, ...)
2022
Bonati L.
Machine learning collective variables for rare events sampling: from classifiers to slow modes
CECAM Workshop: Chasing CVs using Machine Learning: from methods development to biophysical applications, INRIA Paris, 28-30 June 2022
Workshop/Symposium
2022
Bonati L.
Machine learning collective variables with PyTorch
PLUMED Masterclass Lectures, 28/03 and 4/04, Online (https://www.plumed.org/masterclass)
School (Summer school, ...)
2021
Bonati L.
Training collective variables for enhanced sampling via neural network based discriminant analysis
CECAM Mixed-Gen Session 1 - Activated events
Workshop/Symposium
Awards
2024
Macaluso A., Bottino A., Pratticò F.G., Lamberti F., Galletti C., Storchi C., Podda J., Tacchino A., Brichetto G., Boccardo N., et al.
Best Session Presentation - Executive Control in a Mixed Reality Exergame for Motor-Cognitive Rehabilitation in Multiple Sclerosis
2022
Maludrottu S., Laffranchi M., Vassallo C., Vaccaro R., De Michieli L.
iF DESIGN AWARD 2022 - Twin Exoskeleton
2021
Laffranchi M., Traverso S., Vaccaro R., Maludrottu S., Poli F., De Bartolomeis L., Diamanti G., Gruppioni E., De Michieli L.
Good Design
2020
Laffranchi M.
Robotics 2020 Young Investigator Award
2020
Laffranchi M., Boccardo N., Traverso S., Lombardi L., Canepa M., Lince A., Semprini M., Saglia J.A., Naceri A., Sacchetti R., et al.
XXVI Compasso d'oro
2019
Colombi I.
PhD thesis award in Neuroengineering "MASSIMO GRATTAROLA" (17^ Ed.)
2018
Laffranchi M., Boccardo N., Traverso S., Lince A., Canepa M., Saglia J., Gruppioni E., Sacchetti R., Diamanti G., Poli F., et al.
ADI Design Index
2018
Laffranchi M., Boccardo N., Traverso S., Lombardi L., Canepa M., Lince A., Semprini M., Saglia J.A., Naceri A., Sacchetti R., et al.
ADI Design Index
2018
Laffranchi M., Boccardo N., Traverso S., Lombardi L., Canepa M., Lince A., Semprini M., Saglia J.A., Naceri A., Sacchetti R., et al.
Good Design
2018
Semprini M.
selected as "reviewer of the year" for Journal of Neural Engineering