EmanueleRuffaldi2016Assistant Professor
in the TeCiP Institute, PERCRO Laboratory at
Scuola Superiore Sant’Anna

CV / Academic CV / Google Scholar / Github

Short Bio
Assistant Professor at SSSA (2007-)
Visiting researcher at Stanford University (2005-2006)
Scuola Superiore Sant’Anna (PhD 2003-2006)
Visiting scholar at UCL (2003)
University of Pisa (MS, Computer Engineering 1997-2002)


Jul. 2016 – Public event for the termination of the SMOOTI Project about Occupational Biomechanics funded by Telecom Italia
Sep. 2016 – Speaking at the IEEE MISS 2016 – Medical Informatics Summer School in Puglia with a talk entitled “Wearable body tracking for Occupational Biomechanics and Telemedicine”
Jul. 2016 – Speaking at the seminar “Personal injury damages compensation and biomechanics” at SSSA on the topic “Occupational Biomechanics and Virtual Ergonomy”
May. 2016 – Our poster on Sensorimotor Control dynamics and Strength dexterity test has been accepted at the Neuromechanics 2016 workshop, in collaboration with Prof. Valero-Cuevas.
May. 2016 – The paper about ArchGenTool for collaborative architecture design in robotics has been accepted at 21st IEEE MMAR, in collaboration with CERTH.
May. 2016 – The work in collaboration with Prof. Rizzolatti group on Vitality Forms, related to mirror neurons, has been accepted on the Frontiers in Human Neuroscience


Research Projects

While the research listing is being updated please find below the visual listing of publications

When the computing problem is not explicitly parallel, but it instead organised in multiple concurrent flows there is the need of optimizing the resource usage. This  The SOMA framework proposes an approach based on static code analysis and profiling for producing new efficient scheduling. The CoCo system, instead, proposed a concurrent data-flow for Mixed Reality applications. Finally research is undergoing in the area of code generation for multicore probabilistic graphical model inference.
Research in the area of wearable inertial sensor fusion and wearable EMG for the analysis of actions in working environments, also called Occupational Biomechanics. Experimental results are reported for the reconstruction with multiple sensors based on Unscented Kalman Filtering toward the use of Probabilistic Graphical Models. Working load experiments have been performed comparing the system with manual annotations.
Full spectrum research in the use of VE for training sport with specific focus on Rowing. The research spanned from the technical design and construction of the environment, to human motion data analysis, training protocol design up to assessment experiments in different skills of the rowing task such as energy, team coordination and technique.
Investigation of haptic rendering solution and embedding for a novel type of robotimotorec rehabilitation device that generates forces using the wheels. The resulting systems allows to perform several types of rehabilitation devices. Additional research in the area of sensor-fusion
Lectures 2015-2016


Current Students and Staff – Project
Lorenzo Peppoloni (Postdoc) – RAMCIP
Alessandro di Fava (PhD)
Giacomo Dabisias (PhD) – PELARS, RAMCIP
Alessandro Graziano (PhD) – RAMCIP
Giulia Bassani (PhD)
Filippo Brizzi (PhD with Carlo Alberto Avizzano) – REMEDI, MM
Lorenzo Landolfi (MS) – PELARS
Michele Mambrini (MS) – RAMCIP
Emiliano Palermiti (MS) – MM