Openings ICT Days

February 25 | 3.30pm - 4.00pm
Polo Ferrari 2, room B107
Department of Information Engineering and Computer Science - Via Sommarive 9 - 38123 Povo - Trento

Meeting among companies, researchers, students and media press.

Enjoy opening of this exciting and challenging series of events!

OpenLabs @ DISI

February 25 | 4.00pm - 7.00pm
Polo Ferrari 1 & 2, DISI Labs
Department of Information Engineering and Computer Science - Via Sommarive 5-9 - 38123 Povo - Trento

A tour of the ICT laboratories wil be proposed. Afterwards there will be social networking meeting.

  • Participatory Design

    In the field of technology design, the attention to users' needs is of fundamental importance and it is taken into account by all the software design and engineering methodologies. What distinguishes Participatory Design is the central role of users who are not simply consulted but also take responsibility within the project.

    Born concurrently with the industrial automation processes in Scandinavia during the 70s, this approach can be seen as a democratisation of technology design or as a way that pragmatically reduces the risk of failure in implementing new systems.

    We will make a quick review of some techniques for user engagement, discussing their motivations and uses.

    Keywords: Participatory Design; Design; Interfaces

  • Ultrasound and medicine

    Ultrasound (mechanical waves with frequencies above the human auditory range) are nowadays widely used in medicine as the basis of various diagnostic and therapeutic techniques. Some classic examples are prenatal and cardiac ultrasound imaging. Beyond these two examples, ultrasound technologies find an ever-increasing number of applications: from the diagnosis of pulmonary pathologies, the functional imaging of the brain, the visualization and localization of tumors, to lithotripsy (where ultrasound waves are used for the fragmentation and removal of kidney stones). The Department of Information Engineering and Computer Science offers a course dedicated to these topics (Ultrasound Technologies for Medical Applications) within the Master's Degree in Information and Communications Engineering and has an experimental laboratory equipped with clinical and research ultrasound scanners.

    Keywords: Ultrasound Imaging, Image Formation and Processing, Ultrasound-scanner, Signal processing.

  • Internet of Musical Things

    The Internet of Musical Things (IoMusT) is an emerging research field positioned at the intersection of Internet of Things, computational audio, virtual reality and artificial intelligence.

    Examples of "Musical Things" are the new family of intelligent and connected musical instruments, and tactile devices conceived to enrich the musical experience of the audience.

    Keywords: Internet of Musical Things; Smart musical instruments; Tactile devices for the audience.

  • Research projects in robotics

    In recent years the Department has undertaken a series of successful initiatives in the field of assistive robotics (eldercare) and industrial robotics (logistics automation). In this brief presentation we will see the most active research areas and we will show how DISI Department is developing advanced algorithms for the human-robot interaction.

    Keywords: Robotics; Elderly Assistance; Logistics automation.

  • Multimedialità e sicurezza

    Il laboratorio presenterà le attività di ricerca collegate all'analisi di dati multimediali che trovano applicazione nei contesti della sicurezza e dell'intelligenza d'ambiente. Spaziando dall'analisi forense alla videosorveglianza saranno illustrati esempi in cui l'elaborazione di immagini e video può essere impiegata in modo efficace per l'estrazione automatica di informazioni (localizzazione di modifiche, conteggio delle persone, rilevazione di comportamenti anomali).

    Keywords: Elaborazione delle immagini; Analisi forense dei dati multimediali; Video sorveglianza; Intelligenza d'ambiente; Sicurezza.

  • Networking and localization for the Internet of Things

    Modern low-power radio technologies offer unprecedented opportunities for Internet of Things scenarios, in which people, things, vehicles are dynamically interconnected. Some of these technologies, in particular ultra-wideband (UWB) radios, besides providing communication also enable devices to estimate the distance among themselves and therefore determine their position. This type of localization has countless applications, especially in those cases where GPS is not applicable, e.g., inside buildings or (as in one of the projects demonstrated) for the navigation of space rovers.

    Keywords: Internet of Things; Low-power wireless; Localization.

  • Deep Learning

    In recent years, Artificial Intelligence and in particular, its most advanced frontier, Deep Learning, has seen tremendous progress. Deep Learning technologies have become pervasive in many applications, from self-driving cars to humanoid robots. The Department of Information Engineering and Computer Science carries out research activities and offers numerous courses dedicated to the topics of automatic learning applied to artificial vision and robotics.

    Keywords: Deep Learning; Artificial Vision; Robotic perception.

  • ELEDIA Laboratory - Wireless Technology and Systems

    Wireless technologies are the foundation of a myriad of systems and applications used in our everyday lives including mobile communications, radar, and the Internet of Things. The ELEDIA research laboratory of DISI carries out research and technology transfer activities in this context for over twenty years in collaboration with local, national, and international organizations and leading companies in the sector.

    Keywords: Wireless Internet-of-Things; Mobile Communications; Radar.

  • Software and Security Engineering

    The software engineering and formal methods group conducts research activities for the engineering not only of software but also large-scale systems, otherwise known as socio-technical systems. In this context, the group is concerned with the creation and development of:

    • modelling languages, methods and tools for the representation (through the creation of models) of such systems;
    • automated analysis techniques for the verification of properties such as security, privacy, trust, etc. The verification is performed both on isolated properties and at their intersection to find trade-offs, identify potential conflicts as well as security or privacy breaches, which might occur when a socio-technical system changes from the organisational or technical point of view;
    • techniques based on multi-agent systems for the monitoring and managing emergencies;
    • optimisation algorithms to support decision-making processes.

    Keywords: Security and privacy requirements engineering; Automated reasoning; large-scale socio-technical systems.

  • Augmented Reality and Augmented Learning

    More and more we hear in the media about Augmented Reality, especially the one dedicated to mobile devices.This innovative technology is considered a great promise for the future. Augmented reality is able to merge countless virtual worlds generated by the computer with the real world, so that the "augmented" experience of reality is richer, more interesting and more fun. Many sectors are now using augmented reality: from medicine to robotics, architecture, art, without forgetting the world of games. We will present a short demo in augmented reality that shows one of these enriched worlds. Students will have the opportunity to wear the Microsoft Hololens device and interact with a virtual assistant who will introduce them to the world of holograms in an augmented environment created specifically for education and e-learning.

    Keywords: Augmented Reality; Augmented Learning; Human-Computer Interface.

  • Remote Sensing Laboratory (RSLab)

    Remote sensing aims to retrieve information about Earth and the other planets of the Solar System by acquiring data using sensors mounted on board of satellites, aircrafts or UAVs. In our research group we develop automatic techniques for the analysis of remotely sensed data for different applications, e.g., forestry, damage assessment after natural disasters and planetary exploration.

    Keywords: Remote sensing; Satellites; Planetary exploration.

  • Data Management Group

    The Data Management Group studies novel data intensive and scalable analytic platforms related to any of the phases of the data processing pipeline: from acquisition, storage, integration, and cleaning, to exploration, retrieval, modeling and analysis. It offers solutions for data quality, graph data management, information extraction from web data, business data understanding, and stream processing. It provides new paradigms for user interaction with Big Data, enhancing its usefulness and allowing the development of new data-focused services. Such services advance scientific discoveries and innovations in sectors like transportation, education, finance, social media, industry, entertainment, medical, and others.

    Keywords: Databases; Big Data; Data Analytics; Information Management; Data Intensive Systems.

  • Digital services to value information assets of the University

    The purpose of Digital University is to turn University data into a valuable asset through governance strategies that ensure quality and facilitate the re-use of available information. This will make it possible to offer multiple digital services to a wide audience. These services aim to improve the way in which the University knows itself, presents itself to the world, uses the knowledge it creates, increases its efficiency and transparency, performs self-assessments.

    Keywords: Digital services; Information assets; Data governance; Experts; Competences; Self-assessments.

  • FabLab @ DISI

    DISI is equipping itself with an internal Fablab, an open learning space, focused on interdisciplinarity and practice. Although it is not yet complete, come see what we are doing and find out how to contribute!

    Keywords: FabLab; Makerspace; Lackerspace.

  • Talking to machines: from Research Labs, to the Cloud to Your Living Room

    Talking to machines is not evoking science fiction scenes as it used to be in the sixties or even the nineties, any more. In our research and system evaluations , we address questions important for the society from the researchers to the practitioners to policy makers to users: What type of fundamental research in dialogue research do we need to address? How can we keep a research flow from academic labs to industry labs? What types of next-generation conversational interfaces should we develop? How can we build dialogue systems that are transparent about their capabilities? How can the user community build trust in conversational machines? What ethical rules should conversational systems follow? How do we make transparent the inherent bias in data-driven machine learning algorithms embedded in conversational systems?

    References: Website of the Signals and Interactive Systems Lab:

  • Solving computationally-intractable problems via Quantum Annealing

    We present our project funded by D-Wave System Inc. ( by which we encode computationally-intractable problems (SAT, MaxSAT) to be fed to and solved by Quantum Annealer, a particular form of Quantum Computer developed by D-Wave.

  • Machine Learning for Tourism and Hospitality

    Automatic learning is a theory to derive flexible models starting only from data of a company. As soon as a model is available, computers can simulate the effects of billions of possible decisions, predicting the output, creating and selecting one among the best decisions.

    “Intelligent optimization” is an automatic process to create in an intelligent way a wide series of possible solutions, with the objective of improving the current way of doing business.

    Studied applications apply to hospitality and tourism.

    Keywords: Tourism; Hospitality; Simulation; Machine learning

  • Cyber security Lab

    The use of biological data for the purpose of identity management is termed as biometric recognition or simply biometrics. Physical (based on physical characteristics, e.g., face, fingerprint, etc.) and behavioral (based on behaviors, e.g., keystroke, gait, etc.) are the most popular types. Biometrics has got all the potential to completely replace PINs and passwords because they can be stolen, forgotten, and shared. Biometric authentication has been studied for a long time. Large-scale commercial deployments already exist, such as the fingerprint sensors on laptops and smartphones, however, these deployments require explicit user action, hence result in annoying users. As a result, most of the research about transparent, implicit and unobservable authentication for smartphone's security and access control is based on behavioral biometrics.

    In this demo, we will show some of our behavioral-biometric-based smartphone user authentication solutions.