Stage nella ricerca per studenti Master in visita - programma MaRS

Il programma Masters Research Scholarship (MaRS) offre borse di studio per soggiorni di breve durata a studentesse e studenti Master, interessate/i a un periodo come visiting student presso la Facoltà di scienze informatiche, durante il quale lavorare su progetti di ricerca in corso presso la Facoltà.

Le studentesse e gli studenti che prendono parte al programma restano all'USI per un periodo che dura fino a un semestre, contribuendo a un progetto di ricerca sotto la guida delle professoresse e dei professori della Facoltà, con l'obiettivo di capitalizzare l'esperienza fatta nel proprio lavoro di tesi presso l'università di provenienza.
Ogni partecipante riceve CHF 5'000 come contributo alla copertura delle spese di viaggio, e vitto e alloggio per la durata della visita.

Coordina l'iniziativa il Prof. Fernando Pedone.

Il programma MaRS è sponsorizzato dalla Fondazione Hasler.

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Le candidature vanno inviate entro il 31 gennaio 2022 all'indirizzo mars@usi.ch:

  • curriculum vitae
  • transcript degli studi di Master
  • lettera di supporto di un professore della propria università
  • lettera di motivazione
  • copia del passaporto.

L'esito verrà comunicato entro il 15 febbraio 2022.

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  • Progetti MaRS 2022

    Cliccare qui per i descrittivi dettagliati dei progetti MaRS elencati qui di seguito

     

    Progetto Contatto  
    Scalable State Machine Replication Prof. Fernando Pedone  
    Blockchain, blockchain, blockchain Prof. Fernando Pedone  
    The medial axis of a simple polygon in linear time Prof. Evanthia Papadopoulou  
    Cost-based Mechanism Selection for Secure Cloud Computing Prof. Patrick Eugster
    Co-Supervisors: Shamiek Mangipudi, Dr Pavel Chuprikov
     
    End-to-end security based on heterogeneous mechanisms Prof. Patrick Eugster
    Co-Supervisors: Shamiek Mangipudi, Dr Pavel Chuprikov
     
    Compile-time Verification of Fault-tolerant Distributed Systems Prof. Patrick Eugster
    Co-Supervisor: Dr Pavel Chuprikov
     
    Model-predictive control in power systems with renewables Prof. Olaf Schenk
    Co-Supervisor: Juraj Kardos
     
    Application of machine learning in energy market analysis Prof. Olaf Schenk
    Co-Supervisor: Juraj Kardos
     
    EEG-RECALL: Analysis of the influence of distractions on human memory EEG Signals and distraction Prof. Marc Langheinrich
    Co-Supervisor: Martin Gjoreski
     
    Physio-RECALL: Analysis of human memory and physiological signals Prof. Marc Langheinrich
    Co-Supervisor: Martin Gjoreski
     
    PrivAffect: Privacy-aware personal-video sensing for affect recognition Prof. Marc Langheinrich
    Co-Supervisor: Martin Gjoreski
     
    Fed-CogLoad: Federated Cognitive Load Estimation Prof. Marc Langheinrich
    Co-Supervisor: Martin Gjoreski
     
    Federated Clustering Prof. Marc Langheinrich
    Co-Supervisor: Martin Gjoreski
     
    Towards an Intelligent Post-training Mutation Tool for Deep Learning Systems

    Prof. Paolo Tonella
    Co-Supervisors: Dr. Gunel Jahangirova, Nargiz Humbatova

     
    Prioritising Test Inputs for Deep Learning Systems via Mutation Analysis Prof. Paolo Tonella
    Co-Supervisor: Nargiz Humbatova
     
    Neural Style Transfer-based Testing of Autonomous Driving Systems Prof. Paolo Tonella
    Co-Supervisor: Dr. Andrea Stocco
     
    Testing Deep Learning Systems with Generative Models Prof. Paolo Tonella
    Co-Supervisor: Dr. Andrea Stocco
     
    Supervised vs reinforcement learning for the training of the driving agent of a self driving car operating in a real and in a simulated environment Prof. Paolo Tonella
    Co-Supervisor: Dr. Matteo Biagiola
     
    SAT-based techniques for Approximate Circuit Design Prof. Laura Pozzi  

     

  • Progetti MaRS passati

    Cliccare qui per i descrittivi dettagliati dei progetti MaRS elencati qui di seguito

     

    Progetto Contatto  
    A tangible interface for controlling capture and sharing of personal data (RECALL.A) Prof. Marc Langheinrich  
    API metrics and pattern visualization Prof. Cesare Pautasso  
    Approximating order-k Voronoi diagrams using clusters of sampled points Prof. Evanthia Papadopoulou  
    ASQ Prof. Cesare Pautasso  
    Automated Program Analyses of Student Programs Prof. Matthias Hauswirth  
    Collaborative Economy Practices and Communities in Switzerland – A Case Study Prof. Marc Langheinrich  
    Computational Display and Fabrication Prof. Piotr Didyk  
    Converting complex polygons into simple polygons Prof. Kai Hormann  
    Design and Evaluation of a Smartphone App to Support Sharing Physical Objects (SHA21.C) Prof. Marc Langheinrich  
    Educational Technology for Learning to Program Prof. Matthias Hauswirth  
    Evaluating a Human Memory Augmentation App (RECALL.C) Prof. Marc Langheinrich  
    Evaluating Secure Personal Memory Sharing with Co-Located People (RECALL.B) Prof. Marc Langheinrich  
    Formal Analysis of Smart Contracts Prof. Natasha Sharygina  
    Geometric properties of indirect Pythagorean hodograph curves Prof. Kai Hormann  
    Highly parallelizable public blockchains Prof. Patrick Eugster  
    Investigating the dichotomy of sharing practices in virtual and physical realms: from theoretical overview to design considerations (SHA21.A) Prof. Marc Langheinrich  
    Just Share It: A Decentralized Autonomous System to Support Sharing Physical Objects Using Blockchain and Smart Contracting Prof. Marc Langheinrich  
    On the farthest-segment Voronoi diagram: predicates and robust computation Prof. Evanthia Papadopoulou  
    Online data-center modeling Prof. Robert Soulé  
    Production optimization through water-front control using adjoint gradient-based techniques Prof. Olaf Schenk  
    Qualitative Analysis of Programming Interview Videos Prof. Matthias Hauswirth  
    Query optimization for graph databases Prof. Robert Soulé  
    RESTful conversation mining Prof. Cesare Pautasso  
    Scalable State Machine Replication Prof. Fernando Pedone  
    Smart Group Activity Journal – Creating an Automated Activity Feed for Outdoor Sports (SHA21.D) Prof. Marc Langheinrich  
    Understanding End-user Attitudes towards Location Sharing Services Prof. Marc Langheinrich  
    Understanding Practices and Motivations for Sharing Physical Resources through Digital Services (SHA21.B) Prof. Marc Langheinrich