Marta Gandolla (MSc in Biomedical Engineering in 2009 and European PhD cum laude in Bioengineering in 2013 from Politecnico di Milano) is a Post-Doc Research Fellow at the Neuroengineering and Medical Robotics Laboratory since 2013. In 2011 she was a visiting PhD student at the Sobell Department of Motor Neuroscience of the UCL Institute of Neurology (London, UK), under the supervision of Dr. N Ward, working on fMRI images and data analysis. She was involved in the European project MUNDUS (FP7 ICT 2009-4; grant agreement no.: 248326), Think and Go project (funded by Regione Lombardia – POR FSE 2007/2013), and Ability project (co-funded by Regione Lombardia within the Smart Cities and Smart Communities funding program; MIUR-POR LOMBARDY – ASSE 1 POR FESR 2007-2013) projects. She is currently involved in different projects dealing with upper limbs exoskeletons development and evaluation (USEFUL, BRIDGE, EMPATIA – nearlab.polimi.it/neuroengineering/ongoing-projects/). Moreover, she is involved in research about visual-motor coordination and motor learning in children affected by autism spectrum disorder; longitudinal fMRI data activity and connectivity analysis; muscular and central nervous system mechanism of adaptation in neurological patients using Ekso. Her research interest is about the design of innovative methods based on electrical stimulation and/or robotic systems for the rehabilitation and assistance of neurological patients. Moreover, she is interested in central mechanisms of neurological rehabilitation and re-learing.
Francesca Lunardini received her Bachelor’s and Master’s Degrees in Biomedical Engineeering at the Politecnico di Milano. Her collaboration with the Nearlab started during her undergraduate program with a study on children affected by dystonia. Her interests toward pediatric movement disorders led her to Los Angeles where, in collaboration with the Sangerlab of the University of Southern California and Children’s Hospital, she worked on her Master Project “The effect of vibro-tactile biofeedback in childhood dystonia”, which was awarded with the highest grade.
In November 2012, she was awarded a ministerial scholarship and she started her PhD in Bioengineering at the Politecnico di Milano. Her PhD Thesis was co-supervised by Professor Terence D Sanger of the University of Southern California. Francesca’s doctoral program mainly focused on methods and electromyographic-based technologies, namely biofeedback training and robotic control, to study and train motor learning and motor control in children affected by movement disorders, with particular attention to dystonia and cerebral palsy. Francesca received a PhD cum laude in Bioengineering in May 2016.
She then moved to Northeastern University (Boston) for a post-doc fellowship in motor control supervised by Professor Dagmar Sternad. Here research topics included the use of Transcranial Magnetic Stimulation (TMS) and the analysis of muscle synergies to investigate motor learning of complex tasks.
In April 2017, she moved back to Nearlab for a postdoc fellowship in the framework of the MOVECARE project (Horizon 2020) to develop a multi-actor platform for transparent monitoring and assistance of the elder at home.
Alice Geminiani got her Master’s Degree in Biomedical Engineering at Politecnico di Milano in April 2015, with the thesis “Spiking Neural Network with distributed plasticity to model physiological and pathological cerebellum: validation of learning features over different tasks”, supervised by Prof. Alessandra Pedrocchi and Eng. Claudia Casellato. The work was developed in collaboration with the University of Pavia (Prof. Egidio D’Angelo) and the University of Granada (Prof. Eduardo Ros), where she spent a period as a visiting student. Since November 2015, she is a Bioengineering PhD student of Politecnico di Milano at the NEARLab. Her research concerns computational neuroscience applied to the cerebellum, focusing on realistic Spiking Neural Networks, plasticity mechanisms and single neuron models with the final goal to simulate and investigate pathological conditions involving cerebellar damages. For her PhD project, she is working in close collaboration with neurophysiologists from the University of Pavia and the Erasmus Medical Center – Department of Neuroscience, where she spent a period as a visiting student. Her research activity is carried out within CerebNEST, Partnering Project of the Human Brain Project. In addition, she has been working also on projects regarding in vitro recordings of neuronal network activity and the development of embodied mirroring setups for autistic children therapy.
Davide Di Febbo graduated in M.Sc. Biomedical Engineering in October 2017 and worked as a Research Fellow of the NearLab in the RETRAINER European project (H2020-ICT-2014-1). His task concerned the development of an advanced control system for a Functional Electrical Stimulation-based neuroprosthetics for rehabilitation of the upper limb.
Since May 2018 he is a Bioengineering PhD student in Politecnico di Milano and he is engaged in the MOVECARE project (Horizon 2020) with the aim of applying artificial intelligence methods to smart sensors data, in home environment, to early predict signs of physical and cognitive decline in elders. His research interests also involve the use of machine learning for physical system modelling and control.
Stefano Dalla Gasperina graduated cum laude in MSc Biomedical Engineering in October 2017. Since November 2017 he is PhD student in Biomedical Engineering at the NearLab working with control systems for upper limb personalized robotic exoskeletons. His main research focus regards Rehabilitation and Assistive Robotics with the aim of designing and developing user-centered assistive upper-limb exoskeletons and Human-Machine Interfaces for impaired people. He is now engaged in several projects concerning the development of upper-limb exoskeletons such as the RETRAINER project (H2020), BRIDGE Project (Cariplo) and Empatia@Lecco Project (Cariplo). He is also member of team AGADE that in late 2018 was winner of Switch2Product Innovation Challenge offered by Politecnico di Milano in collaboration with PoliHub the Innovation District & Startup Accelerator and Deloitte.
Linda Greta Dui got a MSc cum laude in Biomedical Engineering at Politecnico di Milano in 2016, with the thesis “Exergames to evaluate speed-accuracy trade off and handwriting characteristics: towards prevention and early identification of Dysgraphia”. She got a Master degree cum laude in Analytics and Business Intelligence at Cefriel in 2018, with the thesis “DataReg – Machine Learning for Value-Based Healthcare”, based on the development of natural language processing techniques applied on electronic health records. In the same years, she worked as a Data Scientist in the healthcare field. She developed machine learning solutions for surgical outcome predictions, data quality and text mining. She’s a Bioengineering PhD student at NearLab (NeuroEngineering And Medical Robotics Laboratory) since November 2018, supervised by professor Simona Ferrante, and she is focusing on Learning Disabilities.
Milad Malavolti graduated in M.Sc. Biomedical Engineering in April 2018 with a thesis entitled “Muscle synergies during rectilinear and curvilinear walking in chronic post-stroke patients and age-matched healthy adults”. Since May 2018 he is working on the MOVECARE project (Horizon 2020) with the aim of developing an intelligent and transparent monitoring system for elders, through the use of a set of smart objects.