SUPSI – University of Applied Sciences and Arts of Southern Switzerland
Acronym: SUPSI E-mail:
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The University of Applied Sciences and Arts of Southern Switzerland (SUPSI) is one of the nine professional universities recognised by the Swiss Confederation.
Francesco Flammini
Professor of Trustworthy Autonomous Systems, Head of Bachelor in Data Science and Artificial Intelligence, Head of Trustworthy Autonomous Systems (TAS) group at Dalle Molle Institute for Artificial Intelligence (IDSIA)
Previous academic experience as senior lecturer, associate and full professor of computer science focusing on cyber-phisical systems, since 2017 (Linnaeus University and Mälardalen University, Sweden).
Railway Transportation Industry experience from 2003 to 2016 in Ansaldo (now Hitachi Rail) as a verification and validation engineer, innovation project development engineer, and innovation network unit head. Managed 10+ transportation related research projects as principal investigator, technical and work package leader. Served since 2005 as an expert evaluator and rapporteur for Horizon 2020, CINEA (European Climate, Infrastructure and Environment Executive Agency), and as a Senior External Expert for Shift2Rail Joint Undertaking.
Luca Diviani
Head of the Mechanical Engineering Laboratory
Design of structures and mechanical components
• Dynamic behavior of materials and structures
• Kinematic and Vibration study of machines
• fracture mechanics, fatigue, and structural integrity
• Numerical and Experimental Investigations in Metal Forming
Education:
• Lecturer and Module leader in Bachelor’s and master modules:
Mechanics of structure, Machine Elements 1 and 2, Structural Analysis, Numerical Simulations, Polymer processing engineering
• Coordination of Bachelor Modules in Railway Technology in collaboration with SBB.
• National delegate to the MSE Master in Mechanical Engineering profile commission.
• Advisor for MSE Mechanical Engineering master’s students
• Tutor for semester projects and thesis projects
• SUPSI Coordinator for the Advanced Studies MAS “Railways and Sustainable Mobility”
Applied Research:
• Head of the Mechanical Engineering Laboratory
• Project manager CH national projects.
• Research activities on national and international projects
Governmental:
• Advisory Commission for Economic Innovation – DFE: Evaluation of innovation projects for the Office of Economic Development through the Economic Innovation Law.
Matteo Salani
Senior Researcher
Basic research on combinatorial optimization: exact and heuristic algorithms for combinatorial problems. Advenced techniques based on branch and price and cut, advanced dynamic programming. Integration of ML into algortihms for combinatorial problems.
Applied and Industrial research: desing and implementation of decision support systems and optimization framework with application in logistics, telecommunication, energy management.
Andrea Castrovinci Cercatore
Professor, Head of Polymer Engineering Laboratory
K-words: flame retardancy, polymer degradation and stabilization, polymer composite, conductive, nanocoating, functional coating
Early stages of my career had taken place at Polytechnic of Torino as researcher, bringing R&D findings towards practical applications.
My main activities were related to the study of flame retardancy of polymeric materials. Moved to the University of Applied Science of Southern Switzerland allowed me fully exploiting my interests in applied R&D where a stimulating teaching environment, where theory and applications, are driven by industrial needs and marked ambition.
Working so closely with our industrial partners brought me in the Board of Directors of a polymer compounding company (www.sipsa.ch) since 2015. Nowadays my professional experience in the filed of applied R&D encompasses dozens of projects. All through my career I have engaged in fund raising via direct mandate or exploiting the plethora of public funding available ad national and international level.
De Donato, L., Marrone, S., Flammini, F., Sansone, C., Vittorini, V., Nardone, R., Mazzariello, C., Bernaudin, F. Intelligent detection of warning bells at level crossings through deep transfer learning for smarter railway maintenance (2023) Engineering Applications of Artificial Intelligence, 123
De Donato, L., Dirnfeld, R., Somma, A., De Benedictis, A., Flammini, F., Marrone, S., Saman Azari, M., Vittorini, V. Towards AI-assisted digital twins for smart railways: preliminary guideline and reference architecture
(2023) Journal of Reliable Intelligent Environments
Benedictis, A.D., Flammini, F., Mazzocca, N., Somma, A., Vitale, F.
Digital Twins for Anomaly Detection in the Industrial Internet of Things: Conceptual Architecture and Proof-of-Concept (2023) IEEE Transactions on Industrial Informatics, pp. 1-11.
Tang, R., De Donato, L., Bes̆inović, N., Flammini, F., Goverde, R.M.P., Lin, Z., Liu, R., Tang, T., Vittorini, V., Wang, Z. A literature review of Artificial Intelligence applications in railway systems (2022) Transportation Research Part C: Emerging Technologies, 140
Canonico, R., Flammini, F., Marrone, S., Nardone, R., Vittorini, V.
Automatic Generation of Domain-Aware Control Plane Logic for Software Defined Railway Communication Networks (2022) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13704 LNCS, pp. 308-320
Donato, L.D., Flammini, F., Marrone, S., Mazzariello, C., Nardone, R., Sansone, C., Vittorini, V. A Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance (2022) IEEE Access, 10, pp. 65376-65400
Flammini, F., De Donato, L., Fantechi, A., Vittorini, V. A Vision of Intelligent Train Control (2022) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13294 LNCS, pp. 192-208
Flammini, F., Marrone, S., Nardone, R., Vittorini, V. Compositional modeling of railway Virtual Coupling with Stochastic Activity Networks
(2021) Formal Aspects of Computing, 33 (6), pp. 989-1007
Pappaterra, M.J., Flammini, F., Vittorini, V., Bešinović, N. A systematic review of artificial intelligence public datasets for railway applications (2021) Infrastructures, 6 (10)
Besinovic, N., De Donato, L., Flammini, F., Goverde, R.M.P., Lin, Z., Liu, R., Marrone, S., Nardone, R., Tang, T., Vittorini, V. Artificial Intelligence in Railway Transport: Taxonomy, Regulations and Applications
(2021) IEEE Transactions on Intelligent Transportation Systems
Dirnfeld, R., Flammini, F., Marrone, S., Nardone, R., Vittorini, V. Low-Power Wide-Area Networks in Intelligent Transportation: Review and Opportunities for Smart-Railways (2020) 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020
Di Meo, C., Di Vaio, M., Flammini, F., Nardone, R., Santini, S., Vittorini, V.
ERTMS/ETCS Virtual Coupling: Proof of Concept and Numerical Analysis
(2020) IEEE Transactions on Intelligent Transportation Systems, 21 (6)
PathWyse: a flexible, open-source library for the resource constrained shortest path problem M Salani, S Basso, V Giuffrida Optimization Methods and Software, 1-23 (2024)
Dual-Stage Planning for Elastic Optical Networks Integrating Machine-Learning-Assisted QoT Estimation M Salani, C Rottondi, L Ceré, M Tornatore IEEE/ACM Transactions on Networking (2022)
Symmetry helps: Bounded bi-directional dynamic programming for the elementary shortest path problem with resource constraints
G Righini, M Salani Discrete Optimization 3 (3), 255-273 (2006)
A branch-and-price algorithm for the vehicle routing problem with simultaneous pick-up and delivery M Dell’Amico, G Righini, M Salani Transportation Sciences 40, 235-247 (2006)
Optimal control of a residential microgrid
PO Kriett, M Salani Energy 42 (1), 321-330 (2012)
• MONITORING AND SYSTEMATIC MAINTENANCE ENGINEERING OF GOTTHARD BASE TUNNEL; Matteo Maria Montini, Luca Diviani, Claudio Rolandi; Omaintec – International Operations & Maintenance Conference, 11th to 13th December 2016, Jeddah, Saudi Arabia
• MODELING AND PREDICTION OF HOT ROLLING PROCESS PARAMETERS THROUGH FINITE ELEMENT METHOD AND DESIGN OF EXPERIMENTS TECHNIQUES; G.G. Bordonaro, R. Leardi, L. Diviani, F. Berto; Journal of Manufacturing Processes, 2017
• DESIGN OF EXPERIMENT AS A POWERFUL TOOL WHEN APPLYING FINITE ELEMENT METHOD: A CASE STUDY ON PREDICTION OF HOT ROLLING PROCESS PARAMETERS; Luca Diviani, Riccardo Leardi, Filippo Berto; April 2018, Frattura ed Integrità Strutturale 12(44):1-15
• LEARNING TO PREDICT METAL DEFORMATIONS IN HOT-ROLLING PROCESSES; R. Omar Chavez-Garcia ; Emian Furger ; Samuele Kronauer ; Christian Brianza ; Marco Scarfo ; Luca Diviani ; Alessandro Giusti; IEEE Robotics and Automation Letters, Year: 2020 | Volume: 5, Issue: 4, Journal Article
• STRAIN ENERGY DENSITY APPROACH AS FATIGUE ASSESSMENT OF TI6AL4V SPECIMENS MACHINED BY WEDM SINGLE STEP TECHNOLOGY; Simone Salamina, Daniele Crivelli, Luca Diviani, Filippo Berto, Nima Razavi; International Journal of Fatigue 161(1):106915, April 2022
• SELF-STRESS DISTRIBUTION IN LARGE-SCALE CYLINDRICAL TENSEGRITY STRUCTURE; Habibi Tara; Rhode Landolf; Broggini Filippo; Diviani, Luca; Keller, Thomas; IASS/APCS 2022 Beijing: Innovation in New Concepts and Projects, pp. 1-11(11); International Association for Shell and Spatial Structures; september 2022
• INFLUENCE OF PRE-STRAIN AND BAKE HARDENING ON THE STATIC AND FATIGUE STRENGTH OF A DP600 STEEL SHEET, Andrea Kusch, Daniele Crivelli, Luca Diviani, Simone Salamina, Filippo Berto; Fatigue & Fracture of Engineering, July 2023