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 ChuprikovEnd-to-end security based on heterogeneous mechanisms Prof. Patrick Eugster
Co-Supervisors: Shamiek Mangipudi, Dr Pavel ChuprikovCompile-time Verification of Fault-tolerant Distributed Systems Prof. Patrick Eugster
Co-Supervisor: Dr Pavel ChuprikovModel-predictive control in power systems with renewables Prof. Olaf Schenk
Co-Supervisor: Juraj KardosApplication of machine learning in energy market analysis Prof. Olaf Schenk
Co-Supervisor: Juraj KardosEEG-RECALL: Analysis of the influence of distractions on human memory EEG Signals and distraction Prof. Marc Langheinrich
Co-Supervisor: Martin GjoreskiPhysio-RECALL: Analysis of human memory and physiological signals Prof. Marc Langheinrich
Co-Supervisor: Martin GjoreskiPrivAffect: Privacy-aware personal-video sensing for affect recognition Prof. Marc Langheinrich
Co-Supervisor: Martin GjoreskiFed-CogLoad: Federated Cognitive Load Estimation Prof. Marc Langheinrich
Co-Supervisor: Martin GjoreskiFederated Clustering Prof. Marc Langheinrich
Co-Supervisor: Martin GjoreskiTowards an Intelligent Post-training Mutation Tool for Deep Learning Systems Prof. Paolo Tonella
Co-Supervisors: Dr. Gunel Jahangirova, Nargiz HumbatovaPrioritising Test Inputs for Deep Learning Systems via Mutation Analysis Prof. Paolo Tonella
Co-Supervisor: Nargiz HumbatovaNeural Style Transfer-based Testing of Autonomous Driving Systems Prof. Paolo Tonella
Co-Supervisor: Dr. Andrea StoccoTesting Deep Learning Systems with Generative Models Prof. Paolo Tonella
Co-Supervisor: Dr. Andrea StoccoSupervised 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 BiagiolaSAT-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
