Complex networks and pervasive computing


Head: Silvia Giordano

As the world becomes more globally connected, all its elements become more computationally interconnected and interdependent. The ISIN Research Unit in Complex Networks and Pervasive Computing (CNPC) is a research unit focussing on the vertical area of Network Science that aims to be established to pursue two broad objectives. The Pervasive Computing field studies the effective realization of such global network, while the Complex Networks theory provides a powerful set of tools and conceptual framework for evaluating and modelling complex systems. This combination, on one side, makes computing to appear anytime and everywhere by means of software engineering and computer science, and, on the other side, draws on theories and methods from physical, information and social sciences to describe, prescribe and predict dynamics and behaviour of such complex systems.

Specialty units:
- Complex Systems and Networks
- Pervasive Computing

Complex Systems and Networks

Recently, Networks Science has offered theoretical and practical tools to foster novel knowledge aligned with the irreversible move of our world and our society toward globalization. With Complex Systems and Networks we can dive into the complex networks that interconnects such complex systems and build an understanding of the patterns and dynamics of connectivity underlying behaviours of such complex systems.

Contact Person: Silvia Giordano

Expertise:
Complex Systems analysis and applications
Complex Networks analysis and applications
Users Privacy awareness and analysis
Users and systems behaviour analysis

Human behavioral analysis and neuro-informatics.

Contact person: Michela Papandrea

The Behavioral and Neuro-informatics research unit aims at exploiting technology in the study of human mind and mental states. Human behavior is the output of a complex system, which consists of multiple actors and is affected by heterogeneous inputs: mind, brain, body, environment, and interaction with other people. Its states are reflected in the communication, social interaction, mobility, attitude, etc. Human behavioral states are sometimes observable (i.e., vocal and facial expression, body posture, activities), and sometimes not evident (e.g., heart rate, electrodermal activity, brain activity). The behavioral and neuro-informatics research direction is interested in measuring human behavior in all its possible states, with the goal of analyzing it, characterizing it (as typical or atypical, anomalous or disordered), and building human behavioral models.

Expertise:

  • Human activity analysis and mobility modeling
  • Computer vision (Visual Activity Recognition)
  • Physiological signal processing (i.e., Galvanic Skin Response, ECG, EEG, PSG, Heart rate)
  • IoT for indoor environmental monitoring, and wearable devices
    Affective behavior modeling (emotions)
    Social data analysis

Related research projects:

  • AutoPlay - Differential Diagnosis (2019-22): Application of AutoPlay toys-kit for earlier identification and differentiation of Autism from other neurodevelopmental disorders. With SUPSI-DEASS, Casa Stagioni (Hape Toys), EOC. Founded by ABREOC-EOC and SUPSI competitive research funds
  • TITAN (2019-20): TrIgger Tools and Algorithms in the management of chronically ill home care patieNts. With SUPSI-DEASS, SUPSI-DFA, and FFHS, Supported by SUPSI’s competitive research fund
  • TapID (2018-20): Trusted Adaptive Portable Digital Identification. With SUPSI-DFA, SUPSI-DTI-Idsia, Euronovate SA. Founded by InnoSuisse
  • AutoPlay - methodology development (2017-19): An objective and free of context conditioning system for the evaluation of very young children’s ludic development – Phase1: methodology development. With SUPSI-DEASS, EOC. Supported by Gebert Rüf Stiftung
  • SwissSenseSinergy (2016-18). With University of Bern, University of Geneva, Chalmers University of Technology (Sweden). Founded by SNSF (Sinergia program)
  • AutoPlay - feasibility study (2015-16): An objective and free of context conditioning system for the evaluation of very young children’s ludic development – Phase 1: feasibility study. With SUPSI-DEASS, SUPSI-DFA, Centro pediatrico del Mendrisiotto. Supported by SUPSI’s competitive research fund

Pervasive Computing

Advances in Pervasive Computing are leading to innovative platforms, protocols, systems, and applications for always-on, always-connected and fully-inclusive services. Pervasive Computing is creating an environment where the connectivity of devices is embedded in such a way that it is unobtrusive and always available

Contact Person: Daniele Puccinelli

Expertise:
-Pervasive Computing Technologies
-Privacy and Security Pervasive Computing
-Pervasive Computing application to education and digital health

Related research projects:

  • 2020–23 SNSF  – LOIS: Late teenagers’ online information search
  • 2019–20 Innosuisse Impulse  – QU4LITY – i4.0 Quality Testing Cell
  • 2016–19 H2020 CHIST-ERA – UPRISE-IoT: User-centric PRIvacy & Security in the IoT (coordinator)
  • 2019–22 H2020 Enlightem: European training Network for visible LIGHT communication systEMs
  • 2015–17 SNSF SINERGIA –  SWISSSENSESYNERGY
  • 2015-16, SUPSI internal project – AutoPlay: An objective and free of context conditioning system for the evaluation of very young children ludic development
  • 2014-18 COST-TD1309 – Play for Children with Disabilities (LUDI)
  • 2014-16, KTI – AllWin: a crowd-giving system for citizens and multi-actor involvment in solidal projects
  • 2013–15 FP7 CHIST-ERA – MACACO: Mobile context-Adaptive CAching for COntent-centric networking

 

Contacts
st.wwwsupsi@supsi.ch