Cristina Emma Margherita Rottondi

Associate Professor (L. 240)
Department of Electronics and Telecommunications (DET)

  • Member of Interdepartmental Center Photonext - PoliTo Interdepartamental Center on Applied Photonics

Profile

Research interests

Computer music
Optical networks
Optimization

Curriculum

Download file (131KB, in Italian)

Scientific branch

IINF-03/A - Telecommunications
(Area 0009 - Industrial and information engineering)

Research topics

  • Communication privacy and security in Smart Grids: Privacy of user-related data is of paramount importance in Smart Grid scenarios: the increasing diffusion of Automatic Meter Reading (AMR) and the possibility to open the system to third party services has raised many concerns about the protection of personal data related to energy consumption. On one side, information regarding customers' personal habits can be inferred by analyzing metering data; on the other side, detailed knowledge of consumption measurements is crucial for the timely management of energy distribution, provisioning, and forecasting. Research topics: - Privacy-friendly data aggregation and anonymization in the automatic metering infrastructure of Smart Grids: Design of privacy-preserving infrastructures and communication protocols for the secure collection of metering data, which allow utilities and third parties to obtain time and/or space aggregated energy consumption measurements or disaggregated but pseudonymized meter readings, thus making them unable to associate the individual measurements with the identity of the customer (i.e., the meter) that generated the data. - Privacy-friendly distributed optimization of energy consumption in Smart Grids: Design of secure mechanisms and protocols enabling the distributed optimization of energy consumption without compromising the privacy of the users, with the aim of shaping the load profile of a neighborhood according to the local energy production by renewable sources. - Privacy-friendly vehicle-to-grid interactions: Development of mathematical models and heuristics to optimize the power exchange among the batteries of electric vehicles and the smart grid, taking into account the constraints introduced by the power grid infrastructure and the dynamic and partially unpredictable trend of energy production and demand, as well as possible security and privacy implications.
  • Energy Management in Smart Buildings: The incorporation of Smart technologies in buildings is considered as the key factor for the achievement of the objectives of energy efficiency, integration of Renewable Energy Sources, and reduction in the emissions of pollutants. The research activity is aimed at the design of energy management frameworks for residential and campus buildings. The designed infrastructures provide effective management tools for the local schedule of the energy usage at the users' side, supporting the integration of distributed energy sources (e.g. photovoltaic and wind power plants), energy storage banks, and various categories of controllable loads (including water/heat pumps, Heating, Ventilating and Air Conditioning (HVAC) plants, and electric vehicles). Such local Energy Management Systems must ensure to the users quality of service guarantees while enabling Automatic Demand Response with variable energy tariffs and interactions between users and utilities/ grid operators in case of emergencies. To these aims, the frameworks must also include prediction models for energy production/consumption patterns and building thermal inertia based on weather forecasts and expectations about building occupation, and a system to collect human feedbacks about the perceived thermal comfort.
  • Internet traffic analysis and classification: Internet traffic classification techniques aim at associating to a packet sequence between two hosts and two corresponding transport ports (flow) the generating application. The research activity is focused on the design of statistical classifiers aimed at discriminating different categories of Internet traffic, relying only on statistical attributes of the traffic flows/sources, thus complementing the more intrusive Deep Packet Inspection techniques. Moreover, analyses on network neutrality preservation in the collection of crowdsourced traffic measurements and in the management of content caches have been conducted.
  • Networked Music Performance: Networked Music Performance promises to revolutionize music rehearsal and teaching by allowing multiple remote players to simultaneously perform together from different physical locations by means of an Internet connection over a telecommunication network. However, in order to reproduce realistic rehearsing conditions, multiple technical, psycho-cognitive and purely musical issues must be addressed. In particular, at network level, very strict requirements in terms of latency and jitter must be satisfied to keep the one-way end-to-end transmission delay below a few tens of milliseconds. This research aims at investigating how the timbral characteristics of the instruments and the rhythmic complexity of the performed piece influence the musicians' performance. To this aim, psycho-acoustics have been performed by modeling the end-to-end (local microphone to remote speaker) channel, considering signal analog/digital conversion, signal codec, signal packetization, signal transmission and the computer real-time-processing limitation. A hardware solution based on an embedded processor and an FPGA is currently under study to minimize such latency contributions.
  • Optical network design: The research activity investigates the benefits brought by the introduction of distance adaptive transceivers supporting multiple modulation formats and baud rates in flexible grid networks in terms of spectrum occupation and transceiver utilization. I have proposed methodological approaches for the design of architectures for optical ring metro networks and mesh backbone networks relying on Integer Linear Programming formulations for optimal network deployments, as well as heuristics and analytical bounds for near-to-the-optimum solutions. Complexity analyses of the proposed formulations have also been performed. The impact of usage of spatial division multiplexing by exploiting multimode/multicore optical fibers is currently under investigation, as well as Machine Learning approaches for quality of transmission evaluation and imprecise Markov chain models for performance evaluation of resource allocation policies.

Skills

ERC sectors

PE6_2 - Computer systems, parallel/distributed systems, sensor networks, embedded systems, cyber-physical systems

SDG

Goal 9: Industry, Innovation, and Infrastructure

Awards and Honors

  • Best Paper Award IEEE Online Greencomm conferred by IEEE Online Greencomm Program Committee, Italy (2014)
  • Excellent Paper Award - The 9th International Conference on Ubiquitous and Future Networks, conferred by IEEE Communications Society, United States (2017)
  • Best Paper Finalist - 1st Global IoT Summit conferred by IEEE Communications Society, United States (2017)
  • Best Paper Award - IEEE International Conference on Design of Reliable Communication Networks conferred by IEEE, United States (2017)
  • 2020 Charles Kao Award conferred by IEEE Communications Society, United States (2020)
  • N2Women: Rising Stars in Computer Networking and Communications conferred by N2Women (Networking Networking Women), IEEE Communications Society Association, United States (2020)
View moreView less

Editorial boards

  • JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING (2020), Guest Editor of magazine or editorial series
  • JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING (2020-), Associate Editor of magazine or editorial series
  • IEEE ACCESS (2018-2019), Guest Editor of magazine or editorial series
  • IEEE ACCESS (2016-2020), Associate Editor of magazine or editorial series

Conferences

  • 39th International Symposium on Computer Performance, Modeling, Measurements and Evaluation (8/11/2021-12/11/2021), Participation to the organizing committee
  • Audio Mostly Conference (1/9/2021-3/9/2021), Participation to the organizing committee
  • ONDM - International Conference on Optical Network Design and Modeling (31/5/2021-3/6/2021), Program committee
  • 29th IEEE Conference of Open Innovations Association FRUCT (12/5/2021-14/5/2021), Program committee
  • 28th IEEE Conference of Open Innovations Association FRUCT (27/1/2021-29/1/2021), Program committee
  • 9th International Conference on Networks, Communication and Computing (18/12/2020-20/12/2020), Program committee
  • GLOBECOM, Selected Areas in Communications: Smart Grid Communications and Power Line Communications, (7/12/2020-10/12/2020), Program committee
  • 38th International Symposium on Computer Performance, Modeling, Measurements and Evaluation (2/11/2020-6/11/2020), Participation to the organizing committee
  • 27th IEEE Conference of Open Innovations Association FRUCT (7/9/2020-9/9/2020), Program committee
  • 24th International Conference on Optical Network Design and Modeling (18/5/2020-21/5/2020), Program committee
  • GLOBECOM, Selected Areas in Communications: Smart Grid Communications (9/12/2019-13/12/2019), Program committee
  • 23rd International Conference on Optical Network Design and Modeling (13/5/2019-16/5/2019), Program committee
  • GLOBECOM, Selected Areas in Communications: Smart Grid and Power Line Communications (9/12/2018-13/12/2018), Program committee
  • IEEE 88th Vehicular Technology Conference (27/8/2018-30/8/2018), Program committee
  • 2018 IEEE Summer Topical Meeting Series, Machine Learning-assisted Software-Defined Optical Networks topical meeting (9/7/2018-11/7/2018), Program committee
  • ONDM, 22th International Conference on Optical Network Design and Modeling, (14/5/2018-17/5/2018), Program committee
  • 2018 CySWater, 4th International Workshop on Cyber-Physical Systems for Smart Water Networks (10/4/2018-10/4/2018), Program committee
  • IEEE International Conference on Computing, Networking and Communications, QoS and System Modeling Symposium (5/3/2018-8/3/2018), Program committee
  • International Conference on Applied Operational Research (ICAOR) (18/12/2017-20/12/2017), Program committee
  • 2017 Greenmetrics Workshop (5/6/2017-5/6/2017), Program committee
  • 2017 CySWater, 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks (18/4/2017-21/4/2017), Program committee
  • 2016 Greenmetrics Workshop (14/6/2016-18/6/2016), Program committee
  • ICGREEN 2015, Fourth International Conference on Green IT Solutions (9/7/2015-10/7/2015), Program committee
View moreView less

Other research or teaching roles outside Politecnico

  • Ricercatore, presso Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA) (1/9/2015-27/12/2018)

Teaching

Collegi of the PhD programmes

  • DIGITAL HUMANITIES, 2022/2023 (39. ciclo)
    Università Telematica PEGASO

Collegi of the degree programmes

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Research

Research fields

Research groups

Research projects

Projects funded by competitive calls

Supervised PhD students

  • Jana Eid. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (40th cycle, 2024-in progress)
  • Hussein Jammal. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (40th cycle, 2024-in progress)
  • Pietro Buccellato. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2023-in progress)
    Research subject: Accessible and inclusive solutions for remote musical education
    Analog, Power and Mixed-Signal Circuits and Embedded Systems
    Biomedical devices and applications
    Electronic devices: modeling and characterization
    Multimedia Signal Processing
    Analog, Power and Mixed-Signal Circuits and Embedded Systems
    Biomedical devices and applications
    Electronic devices: modeling and characterization
    Multimedia Signal Processing
  • Leonardo Severi. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (38th cycle, 2022-in progress)
    Research subject: Networked Music Performance
    Big Data, Machine Learning, Neural Networks and Data Science
    Communication and Computer Networks
    Multimedia Signal Processing
    Big Data, Machine Learning, Neural Networks and Data Science
    Communication and Computer Networks
    Multimedia Signal Processing
  • Matteo Sacchetto. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (37th cycle, 2021-in progress)
    Research subject: Development of a networked music performance framework focused on accessibility and ease of use
    Communication and Computer Networks
    Multimedia Signal Processing
    Communication and Computer Networks
    Multimedia Signal Processing

Publications

Last years publications

PoliTO co-authors

Publications by type

Latest publications View all publications in Porto@Iris

Society and Enterprise

Patents and other intellectual properties