Andrea Vitaletti

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In short: Andrea Vitaletti Ph.D. in Computer Science. I am currently Associate professor @ Sapienza University of Rome. My research interests include: algorithms and protocols for wireless networks, IoT, private and distributed data management and Distributed Ledger Technologies. I co-authored more than 60 papers I have been involved in a number of EU projects as researcher, principal investigator and coordinator of the FET Open PLEASED. I am a maker and I have some successful experience in transfer of technology: I founded the spin-offs WLAB - sold in 2016 - and WSENSE - left in 2019. I teach networking, data-management and IoT topics at engineering and product design MsC and BsC @ Sapienza.
Hobbies: sailing, cycling and paragliding … I play the piano and the guitar for fun… be aware!

Table of Contents

Education

From To
Nov. 1998 Jan. 2002 PhD in Engineering in Computer Science (Dottorato di Ricerca in Ingegneria Informatica), University of Rome “La Sapienza”
Oct. 1992 Feb. 1998 MSc in Engineering in Computer Science (Laurea in Ingegneria Informatica), University of Rome “La Sapienza”

Work Experience

From To
Dec. 2019 Now Associate Professor at University of Rome “La Sapienza”
Nov. 2007 Nov. 2019 Assistant Professor (Ricercatore) University of Rome “La Sapienza”
Jul. 2007 Jun. 2019 Co-founder and CTO of WSENSE
Jan. 2002 Jul. 2016 Co-founder and CTO of WLAB (sold in 2016)
Mar. 2002 Oct. 2007 Post-doc and research grant at University of Rome “La Sapienza”
Mar. 1998 Oct. 2007 Senior researcher at ETNOTEAM Research Labs (now NTT DATA)
Mar. 2006 May. 2006 Visiting researcher at Swiss Federal Institute of Technology in Zurich (ETHZ), Zurich (Switzerland)
Apr. 2001 Ago. 2001 Consultant at AT&T Labs Research, Florham Park, NJ (USA)

Teaching

Andrea Vitaletti is instructor in the MOOC of Sapienza on Coursera entitled “Recovering the Humankind’s Past and Saving the Universal Heritage”

The teaching activity has been mainly carried out in the Faculty of Information Engineering of Sapienza (Master LM-32 and Laurea L-8) and in the Master in Product Design at Sapienza (LM-12), as summarized in the following table (data from GOMP). Click on the links for the material on the most recent courses.

Year Course Laurea
2019/2020 PROGETTAZIONE DEL SOFTWARE (6 CFU) LM-270
2019/2020 INTERNET OF THINGS (3 CFU) LM-32
2019/2020 RETI DI CALCOLATORI (3 CFU) L-8
2019/2020 WEB INFORMATION RETRIEVAL (3 CFU) LM-32
2018/2019 INTERNET OF THINGS (6 CFU) LM-12
2018/2019 RETI DI CALCOLATORI (3 CFU) L-8
2018/2019 WEB INFORMATION RETRIEVAL (3 CFU) LM-32
2017/2018 INTERNET OF THINGS (6 CFU) LM-12
2017/2018 RETI DI CALCOLATORI (3 CFU) L-8
2017/2018 WEB INFORMATION RETRIEVAL (3 CFU) LM-32
2016/2017 INTERNET OF THINGS (6 CFU) LM-12
2016/2017 RETI DI CALCOLATORI (3 CFU) L-8
2015/2016 INTERNET OF THINGS (6 CFU) LM-12
2015/2016 RETI DI CALCOLATORI (3 CFU) L-8
2014/2015 PROGETTO DI RETI E SISTEMI INFORMATICI(3 CFU) L-8
2014/2015 PERVASIVE SYSTEMS (6 CFU) LM-32
2013/2014 PROGETTO DI RETI E SISTEMI INFORMATICI(3 CFU) L-8
2013/2014 WIRELESS NETWORK SYSTEMS (6 CFU) LM-32
2012/2013 PROGETTO DI RETI E SISTEMI INFORMATICI(3 CFU) L-8
2012/2013 WIRELESS NETWORK SYSTEMS (6 CFU) LM-32
2011/2012 RETI DI CALCOLATORI (6 CFU) L-8
2011/2012 WIRELESS NETWORK SYSTEMS (6 CFU) LM-32
2010/2011 SISTEMI PER RETI WIRELESS (6 CFU) LM-32
2009/2010 SISTEMI PER RETI WIRELESS (6 CFU) LM-32
2009/2010 RETI DI CALCOLATORI (6 CFU) L-8
2008/2009 SISTEMI PER RETI WIRELESS (6 CFU) LM-32

Transfer of Technology

From To
2002 2016 In 2002 I founded WLAB, a dynamic SME created to support applied research and prototyping in the area of wireless technologies and pervasive and mobile computing. WLAB has been characterized by the synergy with the universities of Rome (Sapienza and Tor Vergata) promoting a continuous and effective technological transfer of innovative solutions from academia to the industry. I was Chief Technology Officer (CTO) of WLAB until its sale in 2016
2012 2019 In 2012 I founded WSENSE a spin-off of Sapienza University of Rome, with a strong and experienced R&D team specialized in monitoring and communication systems with pioneering patented solutions in the Internet of Underwater Things (IoUT). I was the CTO of WSENSE and I lead the activities for the development of the WGATE, the cloud platform for the collection, analysis, visualisation and integration of IoT data. WSENSE is an international company, with WSENSE Ltd hosted in the Marine Robotics Innovation Centre of Southampton U.K.
2014 Now Among the organizers of the Google Technologies Workshop for Cloud and Web Development now in its fifth edition. The workshop is aimed at students to develop the skills leading them to the realization of a start-up. The success of the workshop is also measured by the fact that some participants are now hosted in business accelerators
in 2014 Successful experience in a crowd-funding campaign with the project COVA that has been also boradcasted in the Italian main TV channel RAI
in 2014 The WSN group @ DIAG I lead designed and developed the MagoNode: a new wireless device for WSN networks operating in the 2.4Ghz ISM band deployed in many field trials.
in 2001 (3 months) During my stay at AT&T Research Labs of Florham Park, NJ - USA, myy research activity led to the application of four provisional patent applications.
2019 today Member of the ADI committee in the reserch for business category

Patents

  • Patent 102003901105392 (RM2003A000177): Procedure for the recognition of authenticity of documents and debt securities, in particular banknotes, and related system.

  • Patent 102001900950099 (RM2001A000492): Method for the secure transmission of data through short message service messages (SMS) with related methods for generating and recognizing secure SMS.

Projects

I have acquired a significant experience on research projects, gained in more than 15 years of participation to academic and industrial projects characterized in many cases by a marked multidisciplinarity approach. Over the time I assumed various roles, with different responsibilities, as researcher, principal investigator (PI) and finally coordinator.

On going projects

The main projects I was involved in

  • FP7-PEOPLE-ITN-2008 FRONTS (PI), Overall Budget: EUR 3.1 Mln. From 01-02-2008 to 30-04-2011. The aim of this project is to establish the foundations of adaptive networked societies of tiny heterogeneous artifacts. I participated to all the review meetings where I presented the activities of WP2.

  • FP7-ICT-2009-5 VITRO (PI), Overall Budget: EUR 3.4 Mln. From 01-09-2010 to 28-02-2013. This project is focused on developing architectures, algorithms and engineering methods, to enable the realization of scalable, flexible, adaptive, energy-efficient and trust-aware Virtual Sensor Network platforms. I participated to all the review meetings where I presented the activities of WP3.

  • ARTEMISI-JU call 2009, CHIRON (PI), Overall Budget: EUR 17.8 Mln. From 01-03-2010 to 01-02-2013. CHIRON combines state-of-the-art technologies and innovative solutions into an integrated framework for effective and person-centric health management throughout the complete (health)care cycle.

  • EU EUROSTARS-EUREKA, PharmAID (PI), Overall Budget: EUR 2 Mln. From 01-06-2010 to 31-12-2012. The mainpurpos of the project is the development of an solution for the pharmaceutical market based on passive RFID tags capabe to: a) prevent drugs’ counterfeiting; b) certify drugs’ integrity; and c) track drugs along the whole supply chain. I participated to all the review meetings where I presented the activities of WP5.

  • FP7-ICT-2011-C FET (Future Emerging Technology) OPEN, PLEASED (Coordinator), Overall Budget: EUR 1.46 Mln. From 01-05-2012 to 30-04-2015. Evaluated Excellent. In this project we develop a technology capable to interface and understand electrical signals gereated by plants in reaction to external stimuli. This is teh premise of the development of plant cyborgs. While artificial sensing devices exist that can monitor environmental parameters of interest, such as temperature or humidity, the focus of our research is the use of plants themselves as sensing and decision-making devices. The results of the multidisciplinary team in the project have obtained a significant eco in he media such as Youtube and Wired.

  • EU FI-ADOPT, PAGE (Coordinator), Overall Budget: EUR 150 K. From 01-11-2014 to 01-11-2015. Evaluated Excellent. A project to develop a technology capable to effectively support elderly in their daily activities.

  • FP7-ICT-2013-10. SUNRISE (I). Overall Budget: EUR 5.3 Mln. From 2013-09-01 to 2016-12-31. The SUNRISE main objective is the development of a federated underwater communication network, based on pilot infrastructures already designed, built and deployed by consortium partners, in diverse environments, web-accessible and interfaced with existing FIRE facilities to experiment with Future Internet technologies.

  • EASME ARCHEOSUb (I) . The ARCHEOSUb (Autonomous underwater Robotic and sensing systems for Cultural Heritage discovery Conservation and in situ valorization) project aims at developing products and services to support the discovery, monitoring and protection of Underwater Cultural Heritage (UCH) sites.

Other earlier project activities

  • I was the technical manager of the DIAG group in Rome “La Sapienza” for the project VICOM (Virtual Immersive COMmunications - http://www.vicom-project.it/). The project has developed the infrastructure for the provisioning of augmented realty mobile services. In particular, the group of Rome has developed the framework for the location of mobile users through heterogeneous technologies (GPS, CellID, WiFi, Sensor Networks …)

  • I was the coordinator and technical manager of the CINI lab in Rome. The lab participated in the FIRB project WEB, developing a framework for the remote access to multimedia context sensitive services (eg: tourist guides on mobile phones where the information is georeferenced).

  • I collaborated with the group of Professor Chiara Petrioli within the European project EYES (Energy Efficient Sensor networks - http://www.eyes.eu.org/) for the creation of energy-efficient self-organizing sensor networks.

  • I collaborated with the group of Professor Chiara Petrioli in the EU project WiSeNts (Wireless Sensor Networks and Cooperating Smart Objects). The project studied the main dynamics for the realization of complex systems of intelligent and cooperating objects (e.g. sensor networks). As part of this project I visited the Swiss Federal Institute of Technology in Zurich (ETHZ) in 2006.

  • I was a researcher in the European project AEOLUS (Algorithmic Principles for Building Efficient Overlay Computers - http://dmod.cs.uoi.gr/aeolus site / main.htm). The project investigated methods and algorithms for creating overlay networks for the efficient and transparent access to Internet resources.

  • I was a researcher in the European project DELIS (Dynamically Evolving, Large-scale Information Systems - http://delis.upb.de/). The project has developed methods, techniques and tools to effectively manage modern information systems, characterized by large and extremely dynamic information.

  • In the EU SOFIA project (Artemisia - https://www.artemisia-association.org/sofia), I was task leader for TASK3.3 in WP3. The SOFIA project has created a platform for interoperability between embedded systems in smart environments.

Research

The following figure shows the Wordcloud of the abstracts of my papers.

After a stemming process, the 50 most frequent terms in the abstracts are shown with a size that is proportional to their frequency.
After a stemming process, the 50 most frequent terms in the abstracts are shown with a size that is proportional to their frequency.

The most evident terms (i.e. the biggest, namely the more frequent in the abstract) well summarize my research that focus on wireless networks for the collection of data to provide useful services to the users. This activity, is nowadays part of the wider research on the Internet of Things (IoT) and more recently naturally brought me to start an investigation on Decentralized Applications and Blockchain Technologies.

A distinctive characteristics of my research is the attempt to always validate the performance of the proposed solutions, both theoretical and practical, via simulations and real testbeds.

I lead the research activities on wireless sensor networks and the Internet of Things, in the research group on Computer Networks and Pervasive Systems of the Department of Automatic Computer Engineering and Management Antonio Ruberti della Sapienza University of Rome (DIAG). In this context, I enjoied the cooperation with several international research organizations, including: Research Academic Computer Technology Institute (Greece), Braunschweig University of Technology (Germany), Universitat Paderborn (Germany), University of Athens (Greece), Ben-Gurion University of the Negev (Israel), University of Salerno (Italy), Wroclaw University of Technology (Poland), Universitat Politecnica de Catalunya (Spain), University of Geneva (Switzerland), University of Lubeck (Germany).

I founded the laboratory on the wireless sensor network at DIAG where the solutions - both hardware and software - designed in the our research activities, are implemented and tested in the field. In the lab, we developed and implemented the MagoNode: a new wireless device for WSN networks operating in the 2.4Ghz ISM band deployed in many field trials.

I enjoy a long term collaboration on cooperative design and co-design with faculties of the MSc in Product Design at Sapienza. In particular, I’m leading the research activities on the employment of genetic algorithms for product design.

Wireless Networks for the Collection of Data

Allocation Problems

Coloring algorithms can be used to model bandwidth allocation problems. In [1] we present randomized lower bounds for online coloring of some well studied network topologies. Wireless data networks allow multiple codes (or channels) to be allocated to a single user, where each code can support multiple data rates. Providing fine-grained QoS to users in such networks poses the two-dimensional challenge of assigning both power (rate) and codes to every user [2],[3]. A similar “two-dimensional challenge” emerges in the allocation of bandwidth slots to communication requests on a satellite channel under real time constraints. Accepted requests must be scheduled on non-intersecting rectangles in the time/bandwidth Cartesian space with the goal of maximizing the benefit obtained from accepted requests. [4]

Data collection and energy consumption

Wireless Sensor Networks (WSNs) are made of battery powered nodes, consequently the energy consumption of the nodes must be optimized to increase the network life-time. WSNs are deployed to monitor a phenomenon and in a very simplistic setting we can identify two main phases: a) the interest dissemination, where the nodes become aware of the phenomenon they have to observe, and b) the data collection where the nodes report the observed data. In [5],[6] we tackle the problem of designing simple, localized, low energy consuming, reliable protocols for one-to-all communication (namely the main paradigm for interest-dissemination) in large scale wireless sensor networks. Data aggregation can be used to combine data of several sensors into a single message, thus reducing sensor communication costs during the data collection phase, at the expense of message delays. Thus, the main problem of data aggregation is to balance the communication and delay costs [7],[8],[9],[10]. In [11], [12], [13] we presented solutions capable to integrate the data delivery and interest dissemination techniques. Duty cycling is a useful technique that alternates active and inactive periods to reduce the power consumption. In [14] we presented a protocol capable to automatically adapt the duty-cycle to the application needs. The protocol has been also tested to extend TETRA, a European standard for a trunked radio system, with WSNs [15].

Delay Tolerant Networks (DTNs) exploit user mobility to deliver messages. In [16],[17],[18],[19],[20],][21] we propose a a reference architecture and a thorough quantitative evaluation of routing protocols for DTNs. Population protocols are used as a theoretical model for a collection (or population) of tiny mobile agents that interact to collectively computate a function. In [22, pp. @Becchetti201217, @Becchetti2012335] we evaluate the performance of population protocols on real face-to-face social networks of mobile users [25]. In [26] we studied how to exploit the energy scavenged by pedestrian movements to enhance the operation time of the sensors. In [27],[28] WSNs are used to enanche the sensing capabilities of multi-robot surveillance.

Simulation, Tools, Deployments and Devices

The workflow for the deployment of a WSN usually foresees a preliminary simulation of the proposed solution to assess its performance. In this context, a key question is the validity of the simulation results. In [29],[30],[31],[32] we compared the simulation results with the ones obtained in real test-beds. The debugging of WSN can be a labor-intensive and cumbersome task. In [33] we present a tool capable of passively sniff (i.e. without interfering) the packets exchanged in the network to infer useful debugging information. The ability of re-programming over-the-air (OTA) the nodes is crucial to fix bugs or maintain/enhance the nodes. Usually, OTA assume an always-on network. In [34] we presented a protocol capable to support OTA in network with a duty-cycle.

In our lab on WSNs we developed the MagoNode [35], an embedded system based on a highly efficient RF front-end that greatly improves RF performance, in terms of radio range and sensibility, still limiting energy consumption. A network of cooperating tiny artifacts requires new programming models [36]. In [37] we explored the novel concept of virtual sensor networks, namely WSNs capable to adapt their behavior according to the user needs. The Internet of Underwater Things is probably the new frontier of WSNs. In [38] we presented the portal to access the SUNRISE federation of facilities to test solutions for the Internet of Underwater Things. In [39] we started the investigation on the employment of WSNs to monitor critical infrastructures. This activity has been further developed in [40] where we presented a WSN used to monitor the structural health of a Rome B1 underground construction site. In [41],[42] a WSN has been used for noise pollution monitoring.

Plant as sensors

I have been the coordinator of the EU Future and Emerging Technologies (FET) project PLEASED. The aim of the project was the development of a technology capable of exploiting the plants as bio-sensors. In other words, PLEASED was an attempt to develop a kind interface between plants and computers, namely a plant-cyborg. Indeed, plants react to some external stimuli generating an electrical signal that can be captured by suitable devices (similarly to what happens in EMG). The main challenge is the development of a technology capable to uniquely identify the applied stimuli from the observed electrical signals. The idea of using plants as sensing devices has been first presented in [43]. In [44],[45],[46],[47] a number of machine learning techniques have been evaluated to classify the electrical signal generated by plants in response to heterogeneous stimuli.

Services to the Users

Localization

During my stay in AT&T research labs in USA I had the opportunity of conducting a pioneering - at that time - experimental activity on Cell-ID location techniques [48],[49] that also resulted in the application of of four provisional patents.

Privacy

We initially considered the issues related to the implementation of state-of-the-art cryptographic primitives on resource constrained devices [50], [51] and mobile environments [52]. Then we focused on the development of technical solutions capable to balance the trade-off between the privacy of the users and the utility of the offered services [53], [54], [55], [56], [57]. Current approaches in digital trials entail that private user data are provisioned to trusted trial investigators. The aim of [58] is to present the technical requirements and the research challenges to secure the flow and control of personal data and to protect the interests of all the involved parties during the first phases of clinical trials.

Blockchain

More recently, we started a research activity on blockchain technologies. This activity has initially focused on two main directions: a) the development of interesting use-cases to prove the applicability of such technology beyond the financial domain; in particular we used blockchain technologies to guarantee the quality of data in IoT based clinical trials [59] and to support the democratization of the decision processes in the smart cities [60]), b) the development of suitable software engineering techniques to reduce the risks in the development of decentralized applications [61]. In [62] we explore the techniques for binding end-points to identifier in the Self Sovereign Identity context relying on on-chain verifiable claims.

Recommendation systems and decentralized solutions

Recommendation is a key feature of modern Web App. Usually recommendation systems rely on centralized architectures. In [63],[64],[65], [66] we investigate the effectiveness of fully decentralized, collaborative filtering techniques. In [56] we propose a decentralized system capable to recommend new friendships to other users. In our proposal, the information needed to perform recommendation is collected and exchanged between users in a privacy preserving way. Caching and pre-fetching can significantly improve the access to Web content. In [67] we performed an experimental study of pre-fetching and caching algorithms for the WWW.

Other services

The participation to the EU project CHIRON allowed us to understand the main components of a Next-Generation Remote Healthcare [68]. Our aging population need friendly tools to access health service. In [69] we developed a simple system to deliver elder-care environments improving the UX utilizing the familiar TV-channels paradigm to access Web services. UX is also central in [70] where we investigated an ubiquitous touch-based remote grocery shopping process.

In [71],[72] we explored the concept of cooperative design supported by genetic algorithm. The selection of the products that will actually take part to the evolutionary process, relies on crowd-sourcing mechanisms: only the most appreciated products survive. The implication of this approach in terms of the capacity of designing innovative solutions is explored in [73].

Bibliography

A recent list of my publications can be found in:

[1] S. Leonardi and A. Vitaletti, “Randomized lower bounds for online path coloring,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1998, vol. 1518, pp. 232–247.

[2] L. Becchetti, S. Diggavi, S. Leonardi, A. Marchetti-Spaccamela, S. Muthukrishnan, T. Nandagopal, and A. Vitaletti, “Parallel scheduling problems in next generation wireless networks.” pp. 238–247, 2002.

[3] L. Becchetti, S. Leonardi, A. Marchetti-Spaccamela, A. Vitaletti, S. Diggavi, S. Muthukrishnan, and T. Nandagopal, “Parallel scheduling problems in next generation wireless networks,” Networks, vol. 45, no. 1, pp. 9–22, 2005.

[4] S. Leonardi, A. Marchetti-Spaccamela, and A. Vitaletti, “Approximation algorithms for bandwidth and storage allocation problems under real time constraints,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2000, vol. 1974, pp. 409–420.

[5] L. Orecchia, A. Panconesi, C. Petrioli, and A. Vitaletti, “Localized techniques for broadcasting in wireless sensor networks.” pp. 41–51, 2004.

[6] D. Dubhashi, O. Häggström, L. Orecchia, A. Panconesi, C. Petrioli, and A. Vitaletti, “Localized techniques for broadcasting in wireless sensor networks,” Algorithmica (New York), vol. 49, no. 4, pp. 412–446, 2007.

[7] P. Korteweg, A. Marchetti-Spaccamela, L. Stougie, and A. Vitaletti, “Data aggregation in sensor networks: Balancing communication and delay costs,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2007, vol. 4474 LNCS, pp. 139–150.

[8] P. Korteweg, A. Marchetti-Spaccamela, L. Stougie, and A. Vitaletti, “Data aggregation in sensor networks: Balancing communication and delay costs,” Theoretical Computer Science, vol. 410, no. 14, pp. 1346–1354, 2009.

[9] L. Becchetti, P. Korteweg, A. Marchetti-Spaccamela, M. Skutella, L. Stougie, and A. Vitaletti, “Latency constrained aggregation in sensor networks,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 4168 LNCS, pp. 88–99.

[10] L. Becchetti, A. Marchetti-Spaccamela, A. Vitaletti, P. Korteweg, M. Skutella, and L. Stougie, “Latency-constrained aggregation in sensor networks,” ACM Transactions on Algorithms, vol. 6, no. 1, 2009.

[11] A. Marcucci, M. Nati, C. Petrioli, and A. Vitaletti, “Directed diffusion light: Low overhead data dissemination in wireless sensor networks,” vol. 4. pp. 2538–2545, 2005.

[12] M. Mastrogiovanni, C. Petrioli, M. Rossi, A. Vitaletti, and M. Zorzi, “Integrated data delivery and interest dissemination techniques for wireless sensor networks.” 2006.

[13] M. Mastrogiovanni, C. Petrioli, M. Rossi, A. Vitaletti, and M. Zorzi, “Integrated Data Delivery and Interest Dissemination Techniques for Wireless Sensor Networks,” in GLOBECOM 2006 - 2006 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE.

[14] U. Colesanti, S. Santini, and A. Vitaletti, “DISSense: An adaptive ultralow-power communication protocol for wireless sensor networks.” 2011.

[15] M. Paoli, F. Ficarola, U. M. Colesanti, A. Vitaletti, S. Citrigno, and D. Sacca, “Extending tetra with wireless sensor networks,” INTERNATIONAL JOURNAL OF INTELLIGENT ENGINEERING INFORMATICS, vol. 3, nos. 2-3, SI, pp. 225–243, 2015.

[16] K. Massri, A. Vernata, and A. Vitaletti, “Routing protocols for delay tolerant networks: A quantitative evaluation.” pp. 107–114, 2012.

[17] D. Amendola, F. De Rango, K. Massri, and A. Vitaletti, “Neighbor discovery in delay tolerant networking using resource-constraint devices.” 2013.

[18] K. Massri, R. Beraldi, and A. Vitaletti, “Erasure-coding based data delivery in delay tolerant networks,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013, vol. 8121 LNCS, pp. 188–200.

[19] K. Massri and A. Vitaletti, “DTN routing protocols on resource constrained devices: Design, implementation and first experiments.” 2013.

[20] D. Amendola, F. De Rango, K. Massri, and A. Vitaletti, “Efficient neighbor discovery in rfid based devices over resource-constrained dtn networks.” pp. 3842–3847, 2014.

[21] K. Massri, A. Vitaletti, A. Vernata, and I. Chatzigiannakis, “Routing protocols for delay tolerant networks: A reference architecture and a thorough quantitative evaluation,” JOURNAL OF SENSOR AND ACTUATOR NETWORKS, vol. 5, no. 2, Jun. 2016.

[22] L. Becchetti, L. Bergamini, F. Ficarola, and A. Vitaletti, “Population protocols on real social networks.” 2012.

[23] L. Becchetti, L. Bergamini, F. Ficarola, and A. Vitaletti, “Population protocols on real social networks.” pp. 17–24, 2012.

[24] L. Becchetti, L. Bergamini, F. Ficarola, F. Salvatore, and A. Vitaletti, “First experiences with the implementation and evaluation of population protocols on physical devices.” pp. 335–342, 2012.

[25] F. Ficarola and A. Vitaletti, “Capturing interactions in face-to-face social networks.” pp. 613–620, 2015.

[26] I. Chatzigiannakis, U. Colesanti, S. Kontogiannis, G. Leshem, A. Marchetti-Spaccamela, J. Mehler, G. Persiano, P. Spirakis, and A. Vitaletti, “MURPESS - multi radio pedestrian energy scavenging sensor network.” 2010.

[27] A. Pennisi, F. Previtali, F. Ficarola, D. Bloisi, L. Iocchi, and A. Vitaletti, “Distributed sensor network for multi-robot surveillance,” vol. 32. pp. 1095–1100, 2014.

[28] A. Pennisi, F. Previtali, C. Gennari, D. Bloisi, L. Iocchi, F. Ficarola, A. Vitaletti, and D. Nardi, “Multi-robot surveillance through a distributed sensor network,” Studies in Computational Intelligence, vol. 604, pp. 77–98, 2015.

[29] U. Colesanti, C. Crociani, and A. Vitaletti, “On the accuracy of omnet++ in the wireless sensor networks domain: Simulation vs. Testbed.” pp. 25–31, 2007.

[30] U. M. Colesanti, C. Crociani, and A. Vitaletti, “On the Accuracy of OMNeT plus plus in the Wireless Sensor Networks Domain: Simulation vs. Testbed,” in PE-WASUN’07: PROCEEDINGS OF THE FOURTH ACM WORKSHOP ON PERFORMANCE EVALUATION OF WIRELESS AD HOC, SENSOR, AND UBIQUITOUS NETWORKS, pp. 25–31.

[31] L. Bergamini, C. Crociani, A. Vitaletti, and M. Nati, “Validation of wsn simulators through a comparison with a real testbed.” pp. 103–104, 2010.

[32] C. Petrioli, C. Pierascenzi, and A. Vitaletti, “Bluetooth scatternet formation performance: Simulations vs. Testbeds.” 2007.

[33] M. Ringwald, K. Römer, and A. Vitaletti, “Passive inspection of sensor networks,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2007, vol. 4549 LNCS, pp. 205–222.

[34] A. Di Cagno, M. Paoli, U. Colesanti, and A. Vitaletti, “REACTIVE: A peaceful coexistence between deluge and low power listening.” pp. 137–142, 2014.

[35] M. Paoli, A. Lo Russo, U. Colesanti, and A. Vitaletti, “MagoNode: Advantages of rf front-ends in wireless sensor networks,” in Lecture Notes in Electrical Engineering, 2014, vol. 281 LNEE, pp. 125–137.

[36] S. Santini, K. Roemer, P. Couderc, P. Marrón, D. Minder, T. Voigt, and A. Vitaletti, “System architectures and programming models,” in Cooperating embedded systems and wireless sensor networks, ISTE, 2010, pp. 347–404.

[37] P. Karkazis, P. Trakadas, T. Zahariadis, I. Chatzigiannakis, M. Dohler, A. Vitaletti, A. Antoniou, H. C. Leligou, and L. Sarakis, “Resource and service virtualisation in m2m and iot platforms,” INTERNATIONAL JOURNAL OF INTELLIGENT ENGINEERING INFORMATICS, vol. 3, nos. 2-3, SI, pp. 205–224, 2015.

[38] C. Petrioli, R. Petroccia, D. Spaccini, A. Vitaletti, T. Arzilli, D. Lamanna, A. Galizial, and E. Renzi, “The sunrise gate: Accessing the sunrise federation of facilities to test solutions for the internet of underwater things.” 2014.

[39] L. Filipponi, A. Vitaletti, G. Landi, V. Memeo, G. Laura, and P. Pucci, “Smart city: An event driven architecture for monitoring public spaces with heterogeneous sensors.” pp. 281–286, 2010.

[40] U. Colesanti, A. Russo, M. Paoli, C. Petrioli, and A. Vitaletti, “Poster abstract: Structural health monitoring in an underground construction site: The roman experience.” 2013.

[41] S. Santini, B. Ostermaier, and A. Vitaletti, “First experiences using wireless sensor networks for noise pollution monitoring.” pp. 61–65, 2008.

[42] L. Filipponi, S. Santini, and A. Vitaletti, “Data collection in wireless sensor networks for noise pollution monitoring,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5067 LNCS, pp. 492–497.

[43] V. Manzella, C. Gaz, A. Vitaletti, E. Masi, L. Santopolo, S. Mancuso, D. Salazar, and J. De Las Heras, “Demo abstract: Plants as sensing devices: The pleased experience.” 2013.

[44] S. Chatterjee, S. Ghosh, S. Das, V. Manzella, A. Vitaletti, E. Masi, L. Santopolo, S. Mancuso, and K. Maharatna, “Forward and inverse modelling approaches for prediction of light stimulus from electrophysiological response in plants,” Measurement: Journal of the International Measurement Confederation, vol. 53, pp. 101–116, 2014.

[45] S. Chatterjee, S. Das, K. Maharatna, E. Masi, L. Santopolo, S. Mancuso, and A. Vitaletti, “Exploring strategies for classification of external stimuli using statistical features of the plant electrical response,” Journal of the Royal Society Interface, vol. 12, no. 104, 2015.

[46] S. Das, B. Ajiwibawa, S. Chatterjee, S. Ghosh, K. Maharatna, S. Dasmahapatra, A. Vitaletti, E. Masi, and S. Mancuso, “Drift removal in plant electrical signals via iir filtering using wavelet energy,” Computers and Electronics in Agriculture, vol. 118, pp. 15–23, 2015.

[47] S. Chatterjee, S. Das, K. Maharatna, E. Masi, L. Santopolo, I. Colzi, S. Mancuso, and A. Vitaletti, “Comparison of decision tree based classification strategies to detect external chemical stimuli from raw and filtered plant electrical response,” Sensors and Actuators, B: Chemical, vol. 249, pp. 278–295, 2017.

[48] R. Jana, T. Johnson, S. Muthukrishnan, and A. Vitaletti, “Location based services in a wireless wan using cellular digital packet data (cdpd).” pp. 74–80, 2001.

[49] E. Trevisani and A. Vitaletti, “Cell-id location technique, limits and benefits: An experimental study.” pp. 51–60, 2004.

[50] A. Vitaletti and G. Palombizio, “Rijndael for sensor networks: Is speed the main issue?” Electronic Notes in Theoretical Computer Science, vol. 171, no. SPEC. ISS., pp. 71–81, 2007.

[51] I. Chatzigiannakis, A. Vitaletti, and A. Pyrgelis, “A privacy-preserving smart parking system using an iot elliptic curve based security platform,” Computer Communications, vols. 89-90, pp. 165–177, 2016.

[52] M. Di Zenise, A. Vitaletti, and D. Argles, “A user-centric approach to eCertificate for electronic identities (eIDs) management in mobile environment.” pp. 198–203, 2011.

[53] L. Bergamini, L. Becchetti, and A. Vitaletti, “Privacy-preserving environment monitoring in networks of mobile devices,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, vol. 6827 LNCS, pp. 179–191.

[54] L. Becchetti, L. Filipponi, and A. Vitaletti, “Privacy support in people-centric sensing,” Journal of Communications, vol. 7, no. SPL.ISS. 8, pp. 606–621, 2012.

[55] E. Baglioni, L. Becchetti, L. Bergamini, U. Colesanti, L. Filipponi, A. Vitaletti, and G. Persiano, “A lightweight privacy preserving sms-based recommendation system for mobile users.” pp. 191–198, 2010.

[56] L. Becchetti, L. Bergamini, U. Colesanti, L. Filipponi, G. Persiano, and A. Vitaletti, “A lightweight privacy preserving sms-based recommendation system for mobile users,” Knowledge and Information Systems, vol. 40, no. 1, pp. 49–77, 2014.

[57] A. Anagnostopoulos, F. Angeletti, F. Arcangeli, C. Schwiegelshohn, and A. Vitaletti, “Random projection to preserve patient privacy,” CEUR Workshop Proceedings, vol. 2482. 2019.

[58] F. Angeletti, I. Chatzigiannakis, and A. Vitaletti, “Towards an Architecture to Guarantee Both Data Privacy and Utility in the First Phases of Digital Clinical Trials,” Sensors, vol. 18, no. 12, 2018.

[59] F. Angeletti, I. Chatzigiannakis, and A. Vitaletti, “The role of blockchain and IoT in recruiting participants for digital clinical trials,” in 2017 25TH INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER NETWORKS (SOFTCOM), pp. 427–431.

[60] I. C. A. Bracciali, A. Vitaletti, and M. Zecchini, “Citizens vote to act: Smart contracts for the management of water resources in smart cities.” in 2019 ieee societal automation first international conference, 2019.

[61] M. Zecchini, A. Bracciali, I. Chatzigiannakis, and A. Vitaletti, “On refining design patterns for smart contracts,” in Euro-par 2019: Parallel processing workshops, 2020, pp. 228–239.

[62] A. V. Diego Pennino Maurizio Pizzonia and M. Zecchini, “Binding of endpoints to identifiers by on-chain proofs,” in 1st workshop on blockchain theoRy and applications - brain, 2020.

[63] L. Becchetti, U. Colesanti, A. Marchetti-Spaccamela, and A. Vitaletti, “Self-adaptive recommendation systems: Models and experimental analysis.” pp. 479–480, 2008.

[64] L. Becchetti, U. Colesanti, A. Marchetti-Spaccamela, and A. Vitaletti, “Recommending items in pervasive scenarios: Models and experimental analysis,” Knowledge and Information Systems, vol. 28, no. 3, pp. 555–578, 2011.

[65] L. Becchetti, U. Colesanti, A. Marchetti-Spaccamela, and A. Vitaletti, “Fully decentralized recommendations in pervasive systems: Models and experimental analysis,” Engineering Intelligent Systems, vol. 20, no. 3, pp. 161–170, 2012.

[66] I. Chatzigiannakis, G. Mylonas, and A. Vitaletti, “Urban pervasive applications: Challenges, scenarios and case studies,” Computer Science Review, vol. 5, no. 1, pp. 103–118, 2011.

[67] M. Curcio, S. Leonardi, and A. Vitaletti, “An experimental study of prefetching and caching algorithms for the world wide web,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2002, vol. 2409, pp. 71–85.

[68] A. Vitaletti and S. Puglia, “System overview of next-generation remote healthcare,” in Systems design for remote healthcare, K. Maharatna and S. Bonfiglio, Eds. New York, NY: Springer New York, 2014, pp. 31–53.

[69] D. Amaxilatis, I. Chatzigiannakis, I. Mavrommati, E. Vasileiou, and A. Vitaletti, “Delivering elder-care environments utilizing tv-channel based mechanisms,” Journal of Ambient Intelligence and Smart Environments, vol. 9, no. 6, pp. 783–798, 2017.

[70] I. Cappiello, S. Puglia, and A. Vitaletti, “Design and initial evaluation of a ubiquitous touch-based remote grocery shopping process.” pp. 9–14, 2009.

[71] A. Vitaletti, “GENDE: GENetic design best products evolve according to users feedback,” in Lecture Notes in Electrical Engineering, 2017, vol. 413, pp. 101–110.

[72] A. Vitaletti, I. Chatzigiannakis, V. Malakuczi, and I. Mavrommati, “A case of genetic algorithms supporting the design of collaboratively shaped, genetically evolving, products,” in 2019 ieee societal automation first international conference, 2019.

[73] T. Catarci, A. Marrella, G. Santucci, M. Sharf, A. Vitaletti, L. Di Lucchio, L. Imbesi, and V. Malakuczi, “From consensus to innovation. Evolving towards crowd-based user-centered design,” International Journal of Human-Computer Interaction, 2020.

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