Stefania Bartoletti received the Ph.D. degree in Engineering Science–Information Engineering and the Laurea degree (Summa Cum Laude) in Electronics and Telecommunications Engineering from the University of Ferrara, in 2015 and 2011, respectively.
She is currently a researcher at the Institute of Electronics, Computer and Telecommunication Engineering (IEIIT) of the National Research Council of Italy (CNR).
She was a Marie-Skłodowska Curie Global Fellow within the Horizon 2020 European Framework for a research project with the Wireless Information & Network Science Laboratory of the Massachusetts Institute of Technology (MIT) and the University of Ferrara (2016–2019). She was a Visiting Ph.D. Student at the Laboratory for Information & Decision Systems at MIT (2013–2014).
Her research interests include theory and experimentation of location-aware wireless networks for multi-target tracking and physical behavior analysis.
Dr. Bartoletti is recipient of the Nicolò Copernico Award for innovative thesis in sciences and technologies (2015), the Best Ph.D. Thesis Award in the field of Communication Technologies from the Italian Telecommunications and Information Theory Group (2015), and the Paul Baran Young Scholar Award of the Marconi Society (2016).
She is Associate Editor of the IEEE Communications Letters. She served as Chair of the Technical Program Committee (TPC) for the IEEE ICC Workshop on Advances in Network Localization and Navigation (ANLN) from 2017 to 2020. Dr. Bartoletti is currently serving as Chair of the Young Scholars and Board Member of the Marconi Society.
Ph.D., Information Engineering Telecommunications
Wireless Communication and Localization
The main research activities concern the statistical modeling and algorithm development for design and analysis of different wireless localization systems and vehicular systems, with particular regard to semi-passive and passive systems.
The key contributions are:
formalization of the device-free counting problem through model order selection; development of a framework that relates the target counting problem with the energy detection output; [J5]
derivation of a range information model for design and analysis of wideband ranging systems based on energy detection; [J3]
development of low-complexity ranging algorithms with optimal energy detection for localization with soft-decision and hard-decision ranging;
Radio-frequency Identification, Localization, and Tracking
proposal of a low-complexity scheme for localization in RFID systems based on backscatter modulation and design of Bayesian framework for estimating the order of arrival of tagged objects; [J2]
introduction of blind techniques for the selection of representative observations in sensor radars; [J4]
development of a methodology for design and analysis of sensor radars by jointly considering (i) network setting, (ii) propagation environment, (iii) waveform processing, (iv) observation selection, and (v) localization algorithm; and [J1]
proposal of a Bayesian framework for the passive tracking and velocity estimation of moving targets based on LTE signals of opportunity.
LOCUS - Localization and Analytics on Demand Embedded in the 5G Ecosystem
nov 2019 – present
Context-awareness is essential for many existing and emerging applications. Context information greatly relies on location information of people and things. But, navigation satellite systems are denied in indoor environments, current cellular systems fail to provide high-accuracy localization, other local localization technologies (e.g. WI-FI or BT) imply high deployment/maintenance/integration costs. Raw spatiotemporal data are not sufficient by themselves and need to be integrated with tools for the analysis of the behaviour of physical targets, to extract relevant feature of interests.
LOCUS will improve the functionality of 5G infrastructures to: i) provide accurate and ubiquitous location information as a network-native service and ii) derive more complex features and behavioural patterns out of raw location and physical events, and expose them to applications via simple interfaces. Localization, together with analytics, and their combined provision “as a service”, will greatly increase the overall value of the 5G ecosystem, allowing network operators to better manage their networks and to dramatically expand the range of offered applications and services. The current freedom to act on 5G system design and availability of software network paradigms and AI techniques uniquely combine in this historical moment to make it possible to radically improve the future network by endowing it with accurate on-demand localization and analytics.
LOCUS will showcase its solutions in three scenarios: Smart Network Management based on Location Information of 5G equipment; Network-assisted Self-driving Objects; People Mobility & Flow Monitoring, including emergency services.
The LOCUS consortium gathers a diverse blend of high-profile partners from Telco and IT industries that can make its vision a reality. LOCUS will be an enabler of a myriad of applications for the 5G ecosystem and beyond, boosting vertical industries and creating new business opportunities also for telcos.
PATH - PAssive Tracking of people and things for physical beHavior analysis
Horizon 2020 - MSCA Global Fellowship
MIT and University of Ferrara
June 2016 -
The main goal of PATH is to define a new paradigm for the behavior analysis of physical targets (e.g., people and things), by tracking their positions and dynamics with minimal implementation cost, maximal privacy preservation, and intrinsic secrecy protection. Without relying on any targets’ device and without deploying any dedicated wireless source, PATH enables the detection, localization, and tracking of targets that do not participate in the localization process and integrates such capabilities in infrastructures for the Internet of things. This is essential for several applications relying on behavior analysis, such as crowd counting and flow monitoring. The objectives of PATH are: (i) to develop a framework for system design and analysis, as well as to derive fundamental limits; (ii) to devise advanced techniques for detection and exploitation of networks of opportunity (i.e., networks not intended for localization and covering the operating environment); (iii) to develop inference techniques based on wireless networks properties for intrinsically secure tracking; (iv) to recognize new patterns related to targets dynamics based on signal feature extraction; (v) to establish a proof-of-concept for an industrial-driven use case.
SELECT Smart and Efficient Location, Identification, and Cooperation Techniques
EU Framework Programme FP7
The objective of the SELECT project is the design of a cheap smart wireless network, composed of several wireless cooperating microsystems where the detection, identification, and tracking of objects are integrated, going beyond the limitation of the existing techniques for automatic identification (AutoID) and Real Time Location Systems (RTLS). Limitations are for instance, the unavailability of location systems for semi-passive tags, inflexible, cabled network structures of RTLS, the missing compatibility to prior systems and the missing unification of the above functionalities. Envisioned technologies to overcome these limitations include radio frequency identification (RFID), ultra-wideband (UWB) radio and radar as well as up to date data fusion.
The focus of SELECT is in the area of intelligent transportation and intelligent manufacturing and, in particular, the Supply Chain Management (SCM), that involves the transportation of goods outside and inside the manufacturing facilities. The objective of SELECT is to offer a radical new approach to address some important needs in this arena.
GRETA - GREen TAgs and sensors with ultrawideband identification and localization capabilities
Italian Ministry of Education, University and Research PRIN
GRETA aims at studying a distributed system for identification, localization, tracking and monitoring in IoT indoor scenarios, where the tags are:
localizable with sub-meter precision even in indoor scenarios ⇒ ultra-wideband (UWB) localization techniques
without batteries ⇒ energy harvesting + passive backscattering transmission
made with recyclable materials, to be integrated in goods, clothes and packing ⇒ “green electronics” with recyclable, possibly organic materials
[J11] S. Bartoletti, B. Masini, V. Martinez, I. Sarris, and A. Bazzi, “Impact of the Generation Interval on the Performance of Sidelink C-V2X Autonomous Mode” IEEE Access, to appear.
[J10] L. Chiaraviglio, S. Rossetti, S. Saida, S. Bartoletti and N. Blefari-Melazzi, “Pencil Beamforming Increases Human Exposure to ElectroMagnetic Fields”: True or False?," in IEEE Access, vol. 9, pp. 25158-25171, 2021.
[J9] A. Conti, S. Mazuelas, S. Bartoletti, W. C. Lindsey, and M. Z. Win, “Soft-information for Localization-of-things” Proc. of the IEEE, vol. 107, no. 11, pp. 2240-2264, Nov. 2019.
[J8] S. Bartoletti, N. Decarli, D. Dardari, M. Chiani, and A. Conti, “Order-of-arrival of Tagged Objects” IEEE J. Radio Freq. Ident., vol. 35, no. 5, pp. 185–193, Dec. 2018.
[J7] M. Z. Win, F. Meyer, Z. Liu, W. Dai, S. Bartoletti, and A. Conti, “Efficient Multi-Sensor Localization for the Internet-of-Things” IEEE J. Sig. Proc. Mag., vol. 35, no. 5, pp. 153–167, Mar. 2018.
[J5] S. Bartoletti, A. Conti, and M. Z. Win “Device-free Counting via Wideband Signals,” IEEE J. Sel. Areas in Commun., vol. 35, no. 5, pp. 1163–1174, May 2017.
[J4] S. Bartoletti, A. Giorgetti, M. Z. Win, and A. Conti, “Blind selection of representative observations for sensor radar networks,” IEEE Trans. Veh. Technol., vol. 64, no. 4, pp. 157–160, Apr. 2015.
[J3] S. Bartoletti, W. Dai, A. Conti, and M. Z. Win, “A mathematical model for wideband ranging,” IEEE J. Sel. Topics Signal Process., vol. 9, no. 2, pp. 216–228, Mar. 2015.
[J2] F. Guidi, N. Decarli, S. Bartoletti, A. Conti, and D. Dardari, “Detection of multiple tags based on impulsive backscattered signals,” IEEE Trans. Commun., vol. 62, no. 11, pp. 3918–3930, Nov. 2014
[J1] S. Bartoletti, A. Conti, A. Giorgetti, and M. Z. Win, “Sensor radar networks for indoor tracking,” IEEE Wireless Commun. Lett., vol. 3, no. 2, pp. 157–160, Apr. 2014.
N. Blefari-Melazzi, S. Bartoletti, et al., “LOCUS: Localization and analytics on-demand embedded in the 5G ecosystem,” 2020 European Conference on Networks and Communications (EuCNC), Dubrovnik, Croatia, 2020, pp. 170-175.
F. Morselli, S. Bartoletti and A. Conti, “Indoor Residual Clutter Characterization for UWB Sensor Radar Networks,” 2020 IEEE International Conference on Communications Workshops (ICC Workshops), Dublin, Ireland, 2020, pp. 1-6.
S. Bartoletti, A. Conti, and M. Z. Win, “Towards Counting via Passive Radar using OFDM Waveforms,”
in Proc. IEEE Workshop on Advances in Network Localization and Navigation (ICC), Paris, France,
A. Bagni, A. Conti, S. Bartoletti, D. Menin, G. Sineri, C. Domenicali, V. Fornario, G. Garani, E. Ballardini, C. Borgna-Pignatti, and M. Dondi, “Clinical analysis of spontaneous startles in preterm neonates via sensor networks,” in Proc. IEEE Int. Symp. Med. Meas. Applic. (MEMEA), Benevento, Italy, May
2016, pp. 1–5.
S. Bartoletti, N. Decarli, A. Guerra, F. Guidi, D. Dardari, and A. Conti, “Energy-based order of arrival estimation via UWB-UHF RFID,” in Proc. EURASIP Workshop on RFID Technology (EURFID), Oberaudorf, Germany, Oct. 2015, pp. 1–6.
N. Decarli, A. Guerra, F. Guidi, M. Chiani, D. Dardari, A. Costanzo, M. Fantuzzi, D. Masotti, S. Bartoletti, J. S. Dehkordi, A. Conti, A. Romani, M. Tartagni, R. Alesii, P. D. Marco, F. Santucci, L. Roselli, M. Virili, P. Savazzi, and M. Bozzi, “The GRETA architecture for energy efficient radio identification and localization,” in Proc. EURASIP Workshop on RFID Technology (EURFID), Oberaudorf, Germany,
Oct. 2015, pp. 1–8.
S. Bartoletti, W. Dai, A. Conti, and M. Z. Win, “Wideband localization via range likelihood based on reduced dataset,” in IEEE 14th Canadian Workshop on Information Theory (CWIT), St. John’s, NL, Canada, Jul. 2015, pp. 93 – 96, Student Paper Award (first place).
S. Bartoletti, A. Conti, and M. Z. Win, “Passive radar via LTE signals of opportunity,” in Proc. IEEE Workshop on Advances in Network Localization and Navigation (ICC), Sydney, Australia, Jun. 2014, pp. 181–185.
S. Bartoletti, N. Decarli, A. Guerra, F. Guidi, D. Dardari, and A. Conti, “Order of arrival estimation via UHF-UWB RFID,” in Proc. IEEE Workshop on Advances in Network Localization and Navigation (ICC), Sydney, Australia, Jun. 2014, pp. 133–137.
S. Bartoletti, A. Giorgetti, and A. Conti, “Sensor radars with subset diversity,” in Proc. IEEE Workshop on Advances in Network Localization and Navigation (ICC), Budapest, Hungary, Jun. 2013, pp. 32–36.
R. D’Errico, M. Bottazzi, F. Natali, E. Savioli, S. Bartoletti, A. Conti, D. Dardari, N. Decarli, F. Guidi, F. Dehmas, L. Ouvry, U. Alvarado, N. Hadaschik, C. Frankek, Z. Mhanna, M. Sacko, Y. Wei, and A. Sibille, “An UWB-UHF semi-passive RFID system for localization and tracking applications,” in Proc. IEEE Int. Conf. on RFID-Technology and Applications, Nice, France, Nov. 2012, pp. 18–23.
S. Bartoletti, A. Giorgetti, and A. Conti, “UWB sensor radar networks for indoor passive navigation,” in Proc. Tyrrhenian Int. Workshop on Adv. in Radar and Remote Sens., Naples, Italy, Sep. 2012, pp. 140–145.
S. Bartoletti, M. Guerra, and A. Conti, “UWB passive navigation in indoor environments,” in Proc. 4th Int. Symp. on Applied Sci. in Biomed. and Commun. Technol., Barcelona, Spain, Oct. 2011, pp. 1–5.
S. Bartoletti and A. Conti, “Passive network localization via UWB wireless sensor radars: the impact of TOA estimation,” in Proc. IEEE Int. Conf. on Ultra-Wideband (ICUWB), Bologna, Italy, Sep. 2011, pp. 576–580.
S. Bartoletti et Al., “Quaternary prediction technique for MPEG video compression,” in Proc. IEEE Int. Conf. on Software, Telecomm. and Computer Networks, Split, Croatia, Sep. 2010, pp. 1–4.
S. Bartoletti, A. Conti, and A. Giorgetti, “Analysis of UWB radar sensor networks,” in Proc. IEEE Int. Conf. on Commun., Cape Town, South Africa, May 2010, pp. 1–6.
M. Z. Win, S. Bartoletti, W. Dai, and A. Conti, “Wideband Ranging System,” U.S. Patent Disclosure:
MIT Technology Licensing Office, Jul. 20, 2018.
Awards & Fellowships
Paul Baran Young Scholar Award
The Marconi Society – 2016.
Marie Skłodowska-Curie Global Fellowship
European Commission – 2016.
IEEE CWIT Student Paper Award (first place)
IEEE Canadian Workshop on Information Theory– 2015.
Award for Best Ph.D. Theses in the field of Communication Technologies
Italian Telecommunications and Information Theory Group (GTTI) – 2015
Nicolò Copernico Award for innovative thesis in Sciences and Technologies
Unindustria Ferrara – 2015
Soroptimist Prize for scientific research
Soroptimist International – 2015
Score: Summa cum Laude
University of Ferrara, Ferrara, Italy
Topic: “Passive Detection and Tracking: System Design and Performance Evaluation”
Advisor: Prof. Andrea Conti
Master – Laurea in Electronics and Telecommunications Engineering
Ph.D. in Engineering Science, Information Engineering
University of Ferrara, Ferrara, Italy
Topic: “Wireless Localization Systems: Statistical Modeling and Algorithm Design”
Advisor: Prof. Andrea Conti
Bachelor - Liceo Classico
Liceo Classico Gioacchino da Fiore, Rende, Cosenza