Andrea Sciarrone, CV

 

Andrea Sciarrone – Curriculum Vitae of the Scientific and Teaching Activities

Personal Information.

Nationality: Italian.

Date of birth: May 12th, 1984.

Place of birth: Livorno (LI).

Location: Via Vallecrosia 45/12, Genova Voltri (GE), 16158, Genoa, Italy.

Tel: +39-3474954485.

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Scientific Experience

01 Jan 2015 - Today

Post-Doc Research Fellow

Scientific Supervisor: Prof. Igor Bisio

University of Genoa - S.S.D. ING-INF/03 Telecommunications

DITEN - Department of Electrical, Electronic and Telecommunications Engineering and Naval Architectures

More information on the scientific experience

My research began on the so-called context-aware systems (Context-Awareness), which make use of modern Smartphone terminals. The fundamental discipline taken into account is signal processing. In more detail, the idea is considering the plethora of embedded sensor usually available on modern smartphones as source of raw data which can be elaborate to infer precious information from the signal generated by such sensors.

The rationale under this research area is linked to the ability of modern Smartphones to combine the functions of mobile phones and/or PDAs. Indeed, Smartphones can be considered versatile devices and offer a wide range of possible uses. The technological evolution of Smartphones, combined with their increasing diffusion, gives mobile network providers the opportunity to come up with more advanced and innovative services. Among these are the aforementioned Context-Aware services, highly customizable services tailored to the user’s preferences and needs and relying on the real-time knowledge of the user’s surroundings, without requiring complex configuration on the user’s part.

Examples of Context-Aware services are user profile changes as a result of context changes, user proximity-based advertising or media content tagging, etc. In practice Context-Aware Smartphone applications should answer the following questions about the device’s surroundings: What, Who, Where, When, Why and How. As a consequence, in order to provide Context-Aware services, a description of the Smartphone’s environment must be obtained by acquiring and combining context data from different sources, both external (e.g. cell IDs, GPS coordinates, nearby WiFi and Bluetooth devices) and internal (e.g. idle/active status, battery power, accelerometer measurements).

The research results carried out within this framework concerns several applications explicitly developed for Smartphones. Starting from the sources and sensors available to such terminals, and the possible information they can provide, have been developed a set of possible Context-Aware services such as Audio Environment Recognition, Speaker Count, Indoor and Outdoor Positioning, User Activity Recognition, Emotion Recognition.

The first research activity I have began, always concerning the field of the signal processing over smartphones, deals with speaker count and gender recognition starting from audio signals acquired with smartphones. Determining the number of speakers participating in a conversation is an important area of research as it has applications in telephone monitoring systems, meeting transcriptions etc. In this case as well the service is based on the audio signal recorded by the smartphone device. During this activity, the speech processing methodologies and the algorithms employed to perform the speaker count process have been designed and developed. In more technical detail, a Speaker Count (SC) algorithm based on pitch estimation has been designed to recognize single speaker audio recordings from two-speaker recordings. From the implementation viewpoint, the first release of the algorithm was developed for Symbian OS smartphones and successively extended to Android OS platforms. The proposed solution is aimed at limiting implementation complexity and related battery consumption with respect to the schemes available in the literature. This action is mandatory due to the restricted resources available on smartphones. Also this research outcome has been validated with a practical experimental campaign conducted in real smartphones. The Speaker Count method has produced encouraging experimental results. The results mainly reported in [1] also show that the implemented method allows saving energy and acting in a reasonable amount of time. More recently, always considering audio tracks, the technique has been evolved to a method able to recognize the speaker emotions. The main result of this research can be found in [11].

Other information source available on modern smartphones are the several radio interfaces. Starting from these signals it is possible to design and realize outdoor and indoor positioning methods. Nevertheless a wide literature about the mentioned techniques, the peculiar implementation over smartphone platforms needs further work to rethink the available solution for the specific hardware considered and for the new applications offered by the employment of smartphones. In more technical detail, a new Location Recognition algorithm for Automatic Check-In applications (LRACI), suited to be implemented within Smartphones, integrated in the Cloud platform and representing a service for Cloud end users has been studied. The algorithm, the performance of which is independent of the employed device, uses both global and hybrid positioning systems (GPS/HPS) and, in an opportunistic way, the presence of Wi-Fi access points (APs), through a new definition of Wi-Fi FingerPrint (FP), which represent another outcome of this research. This FP definition considers the order relation among the received signal strength (RSS) rather than the absolute values. LRACI is designed to be employed where traditional approaches, usually based only on GPS/HPS, fail, and is aimed at finding user location, with a room-level resolution, in order to estimate the overall time spent in the location, called Permanence, instead of the simple presence. LRACI allows automatic check-in in a given location only if the users' Permanence is larger than a minimum amount of time, called Stay Length (SL), and may be exploited in the Cloud. For example, if many people check-in in a particular location (e.g., a supermarket or a post office), it means that the location is crowded. Using LRACI-based data, collected by smartphones in the Cloud and made available in the Cloud itself, end users can manage their daily activities (e.g., buying food or paying a bill) in a more efficient way. LRACI has been practically implemented over Android OS-based Smartphones, has been extensively tested. Experimental results have shown a location recognition accuracy of about 90%, opening the door to real LRACI employments. A set of intermediate results of this research can be found in [3] while a complete set of results has been presented in [5].

Another important research field which can be labeled as a branch of the radio localization area is the asset tracking by using smarthone jointly with the Bluetooh Low Energy (BLE) technology. Specifically, my research was focusing on developing a new architecture that aims at satisfying a three-fold requirement: i) a good level of precision in terms of accuracy of the asset location, aging of the information and completeness of the acquired information (i.e., detection of all the tagged assets) and at the same time, ii) saving smartphones’ resources such as CPU, memory and, in particular, energy; iii) saving construction site resources by decreasing the risk of losing valuable assets and minimizing the time spent by foremen looking for them. This idea also leverages on the fact that the proposed architecture requires hardware which is already available in a construction site (e.g., smartphones for the foremen and PCs): only cheap RFID and BLE TAGs have to be purchased. To this goal the following further issues have been taken into account:i) energy consumption, battery lifetime should be adequate to last for an entire working shift, which has usually a duration of 8 hours in a construction site. ii) Performance trade-off : An accurate and precise asset localization needs a significant amount of power due to an extensive use of GPS and CPU, which has to run complex algorithms. iii) User interaction and interfaces: since in the recent years smartphones provide user-friendly interfaces the proposed architecture must adopts specific apps, suitably designed to allow an easy interactions between users and the tracking system. The last point regards iv) Cost-Benefit Analysis: the proposed architecture requires almost no additional expensive hardware. The publication outcome of this research activity is highlighted by [16] and [18].

Finally, at the moment, the last considered set of signals are the those generated from the smartphone accelerometer. This signals allows realizing user activity recognition algorithms starting from raw data acquired directly from the measurements carried out by the smartphone accelerometer. The realized smartphone user activity algorithm can discriminate between several activities such as walking, running etc.. The mentioned solution has been published in [4] considering the framework of health remote monitoring applications for individuals with disabilities or particular pathologies, quantity and type of physical activity performed by an individual/patient constitute important information. The proposed solution is based on a decision tree classification of accelerometer signals to classify the user’s activity as Sitting, Standing, Walking or Running. The main contribution of this research is a method employing a novel windowing technique which reduces the rate of accelerometer readings while maintaining high recognition accuracy by combining two single-classification weighting policies. The proposed method has been implemented, also in this case, on Android OS smartphones and experimental tests have produced satisfying results. It represents a useful solution in the aforementioned health remote applications such as the Heart Failure (HF) patients monitoring. Indeed this activity is conducted within the framework of several funded project in cooperation with medical staff. Furthermore, this algorithm has been extended by extracting more complex features from the accelerometer signal and by employed more complex machine-learning classifiers, such as Support Vector Machines (SVM). The publication results of this extension are [9], [13] and [12].

Finally, concerning the industrial impact of the mentioned solutions, all the signal processing related research activities have been founded with several funding programs and, in particular, many activities have been funded by Telecom Italia S.p.A..

Education

1997 - 2002

State Industrial Technical Institute “Italo Calvino”, Sestri Ponente, Genoa, Italy.

Industrial Expert Diploma

Specialization in Computer Science (vote 82/100).

2003 - 2006

University of Genoa.

 Bachelor Degree in Telecommunications Engineering (score 105/110).

Thesis: Detection of land-cover changes by multichannel fusion of remotely sensed SAR images

Supervisors: Prof. Sebastiano Serpico;

Thesis reference course: Remote Sensing, Signal-Processing;

2007 - 2009

University of Genoa.

 Master Science in Telecommunications Engineering (score 110/110 cum laude).

Thesis: Study and realization of a system for the analysis of the audio correspondences for context-aware applications

Supervisors: Prof. Fabio Lavagetto;

Thesis reference course: Signal-Processing;

2010

Authorization to practice the profession of Engineer

(Achieved in the first months of the year).

2011 - 2013

University of Genoa.

Ph. D. in Science and Technology for Information and Knowledge - Science and Space Engineering”, Address: “Cognitive and Interactive Environments

Ph. D. Thesis: Mobile device processing of heterogeneous signals for Context Aware

applications

Supervisors: Prof. Fabio Lavagetto, Prof. Igor Bisio.

Job Positions

01 May 2009 - 31 Dec 2010

Research Fellow

Scientific Supervisor: Prof. Fabio Lavagetto

University of Genoa - S.S.D. ING-INF/03 Telecommunications

DIST - Department of Communications, Computer and System Sciences

01 Jan 2011 - 31 Dec 2013

Ph. D Student in “Science and Technology for Information and Knowledge - Science and Space Engineering”

Scientific Supervisors: Prof. Fabio Lavagetto, Prof. Igor Bisio

University of Genoa - S.S.D. ING-INF/03 Telecommunications

DIST - Department of Communications, Computer and System Sciences (until December 31, 2011)

DITEN - Department of Electrical, Electronic and Telecommunications Engineering and Naval Architectures

01 Jan 2014 - 31 Dec 2014

Scientific Supervisor: Prof. Fabio Lavagetto

Post-Doc Research Fellow

University of Genoa - S.S.D. ING-INF/03 Telecommunications

DITEN - Department of Electrical, Electronic and Telecommunications Engineering and Naval Architectures

01 Jan 2015 - Today

Scientific Supervisor: Prof. Igor Bisio

Post-Doc Research Fellow

University of Genoa - S.S.D. ING-INF/03 Telecommunications

DITEN - Department of Electrical, Electronic and Telecommunications Engineering and Naval Architectures

Other Scientific and Technical Activities

2007 – 2008

Academic Tutor

University of Genoa – For the Bachelor Degree in Telecommunications Engineering

2008 – 2009

Academic Tutor

University of Genoa – For the Bachelor Degree in Telecommunications Engineering

2011

Scientific Tutor

University of Genoa – For the Bachelor Degree in Telecommunications Engineering

2011

Court of Genoa

Support activity to the scientific and technical analysis of audio files with of Speaker Recognition tools. The activity was carried out in collaboration with Prof. Fabio Lavagetto.

2012

Scientific Tutor

University of Genoa – For the Bachelor Degree in Telecommunications Engineering

2012

Scientific Tutor for Cognitive Disable People

University of Genoa – For the Bachelor Degree in Telecommunications Engineering

2013

Law Firm Savi

Piazza Dante 8/8, 16121, Genoa, Italy (www.studiolegalesavi.it)

Support activity to the scientific and technical analysis of localization techniques, based on the employment of cellular networks, used within forensic frameworks. The activity was carried out in collaboration with Prof. Igor Bisio.

Publications

  1. A. Agneessens, I. Bisio, F. Lavagetto, M. Marchese, A. Sciarrone, “Speaker Count Application for. Smartphone Platforms”, Proc of the 5th IEEE International Symposium on Wireless and Pervasive Computing (ISWPC), May 5-7, 2010, Palazzo Ducale, Modena, Italy, pp 361 – 366.

  2. I. Bisio, F. Lavagetto, M. Marchese and A. Sciarrone, “Smartphone-Centric Remote Monitoring Architecture for Patients Suffering from Heart Failure” Congress AICA “Associazione Italiana per l’Informatica e il Calcolo Automatico”, 15-17 Nov. 2011, Turin, Italy.

  1. I. Bisio, R. Lan Cian Pan, F. Lavagetto, M. Marchese, A. Sciarrone, C. Frà, M. Valla, “Smartphone-based Automatic Place Recognition with Wi-Fi Signals for Location-Aware Services”, IEEE ICC’ 2012, Ottawa, Canada.

  2. I. Bisio, F. Lavagetto, M. Marchese, A. Sciarrone, “Smartphone-based User Activity Recognition Method for Health Remote Monitoring Applications”, Mobile and Pervasive Computing, PECCS’12, Rome, Italy.

  3. I. Bisio, F. Lavagetto, M. Marchese, A. Sciarrone, “GPS/HPS- and Wi-Fi Fingerprint- based Location Recognition for Check-In Applications over Smartphones in Cloudbased LBSs”, IEEE Transaction on Multimedia, DOI: 10.1109/TMM.2013.2239631, pages: 858 – 869, June 2013.

  4. Bisio, F. Lavagetto, M. Marchese, A. Sciarrone, “Performance Comparison of a Probabilistic Fingerprint-based Indoor Positioning System over Different Smartphones” International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS), 07-10 July, Toronto, Canada, 2013, pp 161-166.

  5. I. Bisio, F. Lavagetto, M. Marchese and A. Sciarrone, “Energy Efficient WiFi-based Fingerprinting for Indoor Positioning with Smartphones”, IEEE Global Communication Conference (GlobeCom'13), 9-13 December 2013, Atlanta, Georgia, USA.

  6. I. Bisio, A. Delfino, A. Garibbo, F. Lavagetto, M. Marchese and A. Sciarrone, “The Role of Smartphones in Personal Security: Technical and Research Challenges, Polaris Innovation Journal (proprietary to Selex ES S.p.A.), N.19/2014, pp. 14-19.

  7. M. Marchese I. Bisio, F. Lavagetto and A. Sciarrone. “A smartphone- centric platform for remote health monitoring of heart failure”. Wiley International Journal of Communication Systems, 2014, DOI: 10.1002/dac.2778.

  8. Igor Bisio, Matteo Cerruti, Fabio Lavagetto, Mario Marchese, Matteo Pastorino, Andrea Randazzo, Andrea Sciarrone “A Trainingless WiFi Fingerprint Positioning Approach over Mobile Devices”, in Antennas and Wireless Propagation Letters, IEEE , vol.13, no., pp.832-835, 2014, doi: 10.1109/LAWP.2014.2316973.

  9. I. Bisio, A. Delfino, F. Lavagetto, M. Marchese, A. Sciarrone “Gender-driven Emotion Recognition through Speech Signals for Ambient Intelligence Applications”, IEEE Transactions on Emerging Topics in Computing, DOI 10.1109/TETC.2013.2274797.

  10. I. Bisio, F. Lavagetto, M. Marchese, A. Sciarrone, “Smartphone-Centric Ambient Assisted Living Platform for Patients Suffering from Co- Morbidities Monitoring”, IEEE Comunications Magazine, vol.53, no.1, pp.34-41, January 2015, doi: 10.1109/MCOM.2015.7010513.

  11. I. Bisio, F. Lavagetto, M. Marchese, A. Sciarrone, “Comparison of Situation Awareness Algorithms for Remote Health Monitoring with Smartphones”, in Global Communications Conference (GLOBECOM), 2014 IEEE, pp.2454-2459, 8-12 Dec. 2014, Austin,TX, doi: 10.1109/GLOCOM.2014.7037176.

  12. Bisio, I., Lavagetto, F., Marchese, M., Sciarrone, A., Fra, C., Valla, M., "SPECTRA: A SPEech proCessing plaTform as smaRtphone Application," in Communications (ICC), 2015 IEEE International Conference on, pp.7030-7035, 8-12 June 2015
    doi: 10.1109/ICC.2015.7249447

  13. I. Bisio, F. Lavagetto, A. Sciarrone, T. Penner and M. Guirguis, "Context-Awareness over Transient Cloud in D2D networks: Energy Performance Analysis and Evaluation" Transaction on Emerging Telecommunication Technologies, 2015, DOI: 10.1002/ett.

  14. Bisio, I.; Sciarrone, A.; Zappatore, S., "Asset tracking architecture with Bluetooth Low Energy tags and ad hoc smartphone applications," in Networks and Communications (EuCNC), 2015 European Conference on, pp.460-464, June 29 2015, doi: 10.1109/EuCNC.2015.7194118.

  15. I. Bisio, F. Lavagetto, A. Sciarrone, T. Penner and M. Guirguis, “Context Awareness over Transient Clouds”, in Global Communications Conference (GLOBECOM), 2015 IEEE, San Diego, CA, to appear.

  16. I. Bisio, F. Lavagetto and A. Sciarrone, “Asset Tracking Solution with BLE and Smartphones: an Energy/Position Accuracy Trade-Off”, in Global Communications Conference (GLOBECOM), 2015 IEEE, San Diego, CA, to appear.

  17. I. Bisio, G. Luzzati and A. Sciarrone, "Cell-ID Meter App: a Tester for Coverage Maps Localization Proofs in Forensic Investigations", Poster Presentation in the Demo/Ongoing Session in 7th IEEE International Workshop on Information Forensics and Security (WIFS) 2015, 16-19 November 2015, Rome, Italy, to appear.

  18. Bisio, I.; Sciarrone, A.; Zappatore, S., A new asset Tracking Architecture integrating RFID, Bluetooth Low Energy Tags and ad hoc Smartphone Applications”, IEEE Pervasive and Mobile Computing Journal, to appear.

    Scientific participation in national and international research projects eligible for funding on the basis of competitive tenders involving peer review.

In the following is reported the list of research projects in which I have contributed (from the most recent to the oldest). For projects carried out in recent years a brief description is introduced while the role has been indicated for all the indicated projects.

[FAS132] “IANUS - Integrated AssistaNce on Unguarded Systems ” (Project Partners: DITEN, Local Project Leader Prof. F. Lavagetto/I. Bisio), .

 Brief Description: The project focuses on the concept of Ambient Assisted Living and in particular on the possibility to predict possible variations of pathologies afflicting assisted patients, chronically ill and/or with disabilities, via Smartphone terminals. The project has been funded by the program of high technology research and innovation framework of the Liguria Region for the years 2013-2015 (Call PAR FAS 2007/2013 approved with DGR 899 20/07/2012).

[FAS131] “SMART-ANGEL Mobile Cloud Platform Supporting Patients with Chronic Cognitive Disabilities” (Project Partners: DITEN, Local Project Leader Prof. F. Lavagetto/I. Bisio).

 Brief Description: The project focuses on remote monitoring for health, safety, quality of life and independence of assisted patients with cognitive disabilities (Down Syndrome), by employing Smartphone platforms. The project has been funded by the program of high technology research and innovation framework of the Liguria Region for the years 2013-2015 (Call PAR FAS 2007/2013 approved with DGR 899 20/07/2012).

 Role: participation in meetings, research activities, software development.

[PRA12] “Analysis and design of Localization Method for Pervasive Processing and Communication Devices” (Project Leader Dr. A. Randazzo), a research project of the University (University of Genoa) - year 2012 (reserved for professors/researchers under 40).

 Brief Description: The activity is focused on the study and development of localization mechanisms suited to be used over pervasive devices, able to process and transmit data, such as modern smartphones. The techniques are based on the integration of electromagnetic fields modeling approaches and advanced signal processing techniques.

 Role: participation in meetings, research activities, software development.

[SINTESIS] “Integrated System for Security based on distributed intelligence” (Project Partner: DIST, Local Project Leader: Prof. F. Lavagetto) funded by MIUR within the SIIT Ligurian Technology District, years 2009-2010.

 Brief Description: The project, coordinated by Elsag Datamat, has been developed by a consortium of Industries, Small and Medium Enterprises (SMEs), research institutes and the University of Genoa. It is about the design of intelligent systems for security. In particular, positioning solutions via Smartphones terminals have been studied to support dedicated personnel to the supervision of a given area.

 Role: participation in meetings, research activities, software development.

[SALUTE] “Smart Systems for Terapeutic and Diagnostic Cycle of Patients” (Project Partner: DIST, Local Project Leader: Prof. F. Lavagetto) funded by MIUR within the SIIT Ligurian Technology District, years 2009-2010.

 Brief Description: The project, coordinated by Esaote, has been developed by a consortium of Industries, Small and Medium Enterprises (SMEs), research institutes and the University of Genoa. It is about the design of intelligent systems for the efficient management of the terapeutic and diagnostic cycle of patients. Also in this case, positioning solutions via Smartphones have been tailored to support medical personnel a given area such as an hospital.

Role: participation in meetings, research activities, software development.

Participation in the editorial boards of journals, book series, encyclopedias and treatises

International Conferences Roles

International Conference on Communications 2012 (ICC 2012), 2012, Ottawa, Canada. Role: "Session Chair” ( http://icc2012.ieee-icc.org/);

Personal Satellite Services Conference 2014 (PSATS 2014), 2014, Genoa, Italy. Role: “Publicity Chair” ( http://psats.eu/2014/);

Personal Satellite Services Conference 2014 (PSATS 2014), 2014, Genoa, Italy. Role: “Session Chair” ( http://psats.eu/2014/);

International Conference on Communications 2016 (ICC 2016), 2016, Kuala Lumpur, Malaysia

  • TPC member of the “Selected Areas in Communications Symposium”, track “Satellite and Space Communications”

Attendance, as Speaker, to the following International Conferences (paper presentations)

International Conference on Communications 2012 (ICC 2012), 2012, Ottawa, Canada

  • I. Bisio, R. Lan Cian Pan, F. Lavagetto, M. Marchese, A. Sciarrone, C. Frà, M. Valla, “Smartphone-based Automatic Place Recognition with Wi-Fi Signals for Location-Aware Services”.

  • Araniti G., Scordamaglia V, Condoluci M, Molinaro A, Iera A, “Efficient Frequency Domain Packet Scheduler for Point-to-Multipoint Transmissions in LTE Networks” (on behalf of the authors).

Pervasive and Embedded Computing and Communication Systems 2012 (PECCS’12), Rome, Italy

  • I. Bisio, F. Lavagetto, M. Marchese, A. Sciarrone, “Smartphone-based User Activity Recognition Method for Heart Remote Monitoring Applications”.

IEEE Global Communications Conference 2013 (GLOBECOM13), Atlanta, Georgia

  • I. Bisio, F. Lavagetto, M. Marchese and A. Sciarrone, “Energy Efficient WiFi-based Fingerprinting for Indoor Positioning with Smartphones”

IEEE Global Communications Conference 2014 (GLOBECOM14), Austin, Texas

  • I. Bisio, F. Lavagetto, M. Marchese, A. Sciarrone, “Comparison of Situation Awareness Algorithms for Remote Health Monitoring with Smartphones”

International Conference on Communications 2015 (ICC 2015), 2015, London, UK

  • Bisio, I., Lavagetto, F., Marchese, M., Sciarrone, A., Fra, C., Valla, M., "SPECTRA: A SPEech proCessing plaTform as smaRtphone Application,"

European Conference on Networks and Communications 2015, Paris, France

  • Bisio, I.; Sciarrone, A.; Zappatore, S., "Asset tracking architecture with Bluetooth Low Energy tags and ad hoc smartphone applications,"

IEEE Global Communications Conference 2015 (GLOBECOM15), San Diego, CA, USA

  • I. Bisio, F. Lavagetto, A. Sciarrone, T. Penner and M. Guirguis, “Context Awareness over Transient Clouds”

  • I. Bisio, F. Lavagetto and A. Sciarrone, “Asset Tracking Solution with BLE and Smartphones: an Energy/Position Accuracy Trade-Off”

International Scientific Societies Memberships

2011 – 2014: IEEE Student Member

2015 – Today: IEEE Member

2014 – Today: IEEE Young Professionals

2014 – Today: IEEE Communications Society Membership

2014 – Today: IEEE Signal Processing Society Membership

Reviewing Activity for International Journals and Conferences

IEEE Global Communications Conference (GLOBECOM);

IEEE International Conference on Communications (ICC);

Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS);

Pervasive and Mobile Computing Journal, Elsevier;

Technology Transfer Activities (Industrial Cooperations):

In the following a list of the technology transfer activities is reported (from most recent to oldest). For the recent activities also a brief description has been introduced in addition to the candidate’s role.

[TELECOM5] “SmartSpeakers: dynamic audio processing through multiple receivers in Smart Home/Office scenarios” (Project Partner: DITEN, Project Leaders: Prof. F. Lavagetto/Dr. I. Bisio), 2015, research contract between the University of Genoa and Telecom Italy S.p.A..

Brief Description: The research aims to define, design and develop techniques for acquisition and analysis of audio signals captured by a heterogeneous set of sensors such as mobile terminals, ambient microphones and arrays of microphones. From the application viewpoint, the project deals with pervasive applications for audio context awareness.

Role: Software developer, participation to meetings, research activities.

[TELECOM4] “Ambient Audio Recognition for Smart Social Spaces” (Project Partner: DITEN, Project Leader: Prof. F. Lavagetto), 2013-2014, research contract between the University of Genoa and Telecom Italy S.p.A..

Brief Description: The research aims to define, design and develop techniques for acquisition and analysis of speech signals captured by smartphones aimed at recognizing the speaker identity, the speaker gender, the speaker language (among four possibilities: English, Italian, Spanish, Franch). From the application viewpoint, the project delas with pervasive applications for audio context awareness.

 Role: participation in meetings, research, software development.

[AMGC] “Smarter Network” (Project Partner: DITEN, Project Leader: Prof. S. Zappatore), 2012-2013, research contract between the University of Genoa and AM General Contractor S.p.A..

Brief Description: The project concerns the identification of the most suitable technology for monitoring assets within a construction site by using Smartphone terminals and Bluetooth Low energy (BLE) tags. In more detail, the activity deals with the design of assets localization algorithms suited to be realized over Smartphone terminals and to be integrated into an archhitecture including smartphones and thiir GPS receiver, BLE tags employed to individuate the assets, and a monitoring stations where a database is periodically updated with the location of the assets. In this case, the contribution focuses on location aware services via GPS signals and other radio signals. The project is carried out under a research contract with AM General Contractor S.p.A. for the project POR Liguria entitled “Smarter Network” approved by FILSE on 17.02.2012.

 Role: participation in meetings, research activities, software development.

[SELELS2] “Android Demonstrator” (Project Partner: DITEN, Project Leader: Dr. I. Bisio), 2012-2013, research contract between the University of Genoa and Selex-Elsag SpA

Brief Description: The project concerns the design and the development of a software architecture based on Smartphone/Android TabletPC able to transmit images and/or video streams (e.g., streaming H.264) considering intermittent and low capacity radio links (not higher than 200 Kb / s). In particular, Application Layer Joint Coding algorithms (dynamic source and channel coding realized at the application level) are studied.

 Role: participation in meetings, research activities, software development.

[EC2M] “Cloud Enterprise Content Management” (Project Partner: DITEN, Project Leaders: Dr. I. Bisio/Prof. F. Lavagetto), 2012-2013, research contract between the University of Genoa and NIS s.r.l..

Brief Description: The project concerns the identification of the most suitable technology for monitoring the environment of a given user by using his Smartphone terminal. In more detail, the activity deals with the design of context detection algorithms suited to be realized over Smartphone terminals and to be integrated into a platform for content management (Content Management Platform). In this case, the contribution focuses on location aware services via GPS signals and other radio signals. The project is carried out under a research contract with Network Integration and Solutions (NIS) s.r.l. for the project POR Liguria entitled “Cloud Enterprise Content Management (EC2M)” approved by FILSE on 17.02.2012.

Role: participation in meetings, research activities, software development.

[TELECOM2] “Analysis of context and pervasive applications” (Project Partner: DIST, Project Leader: Prof. F. Lavagetto), 2010-2011, research contract between the University of Genoa and Telecom Italy S.p.A..

Brief Description: the research activity concerned the processing of GPS and WiFi signals captured by a Smartphone to define the location of the terminal in indoor environments.

Role: participation in meetings, research activities, software development.

[TELECOM] “Study, Design and Testing of Algorithms for Signal Processing Applications for Smartphone” (Project Partner: DIST, Project Leader Prof. F. Lavagetto), (only 2009), research contract between the University of Genoa and Telecom Italy S.p.A..

Brief Description: the research concerned the processing techniques of audio recorded through smartphone terminals to define the number of speakers of a recorded audio track and to identify the gender of a talker. More recently, we have also studied audio fingerprinting techniques aimed at recognizing environments, music tracks, etc...

Role: participation in meetings, research activities, software development.

Teaching Activities, Exercises, and Tutorials Examination Committees

Courses:

A.Y. 2010/11 Teaching Support of: Yacht Navigation Support Systems (SSD ING-INF/02);

Master Degree in Yacht Design at the Faculty of Engineering of the University of Genoa, (La Spezia), 6 ECTS, 60 hours.

Lecturers Team: Prof. Matteo Pastorino, Prof. Igor Bisio.

A.Y. 2010/11 Teaching Support of: Yacht Navigation Support Systems (SSD ING-INF/02);

Master Degree in Yacht Design at the Faculty of Engineering of the University of Genoa, (La Spezia), 6 ECTS, 60 hours.

Lecturers Team: Prof. Matteo Pastorino, Prof. Igor Bisio.

A.Y. 2014/15Contract Professor of the Course “Multimedia Apps and Future Internet”, Bachelor Degree in Electronic Engineering and Information Technology, Polytechnic School of the University of Genoa, hours: 60.

Lecturers Team: Prof. Raffaele Bolla, Prof. Igor Bisio, Prof. Andrea Sciarrone.

Master courses:

Teaching Assistant of the Course “Progettazione ed integrazione di impianti di telecomunicazioni in cablaggio strutturato”, 2009, at the School of Telecommunications of the Armed Forces of Chiavari, hours: 14.

Teacher of the course on “Developing Android Mobile Applications” (Mod. 13.2) for ICT Technician - Specialist in development of Smart applications and systems (2014) at the Technical Institute of Information Technology (at the Institute IPSSIA Attilio Odero), hours: 24.

Examination Committees

A.Y. 2015 Member of the examination committees the following courses:

  • Multimedia Apps and Future Internet”, 2015, Bachelor Degree in Electronic Engineering and Information Technology, Polytechnic School of the University of Genoa.

Coordination of the Thesis

Supervisor of Master Degree Theses since the A.Y. 2010;

Supervisor of Bachelor Degree Theses (Undergraduate Courses), since the A.Y. 2010;

Travel Grants

Winner of the Student Travel Grant of the International Conference on Communications 2015 (ICC 2015), 2015,London, UK.

Winner of the Student Travel Grant of the IEEE Global Communications Conference 2015 (GLOBECOM15), Austin, Texas.

Foreign languages:

Advanced level of knowledge of the English language both written and spoken.

Genoa, 25 November 2015 Andrea Sciarrone