November 22nd, 2018, Politecnico di Milano – Italy
In conjunction with PASM 2018
Preliminary call for papers
The eighth Workshop of the Italian group on Quantitative Methods in Informatics (InfQ 2018) will be held in Milano, co-located with PASM 2018, after the past successful editions in Pisa (2010), Lipari (2011), Lucca (2012), Sorrento (2013), Torino (2014), Taormina (2016), and Venice (2017).
InfQ is the leading Italian forum on quantitative modelling, evaluation, and verification, of computer, networks, telecommunication systems, and more general classes of man-made, social, or natural systems.
InfQ welcomes both contributions on methodology and application, and gives value to both the theoretical and practical perspectives. Conference topics include, but are not limited to:
This year, a special track on Machine Learning for Performance Evaluation will be hosted, to solicit and support cross-fertilization of quantitative methods in informatics and artificial intelligence. Papers submitted to this special track will undergo a separate review process, but will be presented and included in the same proceedings as the regular InfQ papers.
Continuing its tradition, the InfQ Workshop welcomes not only mature results but also contributions reporting work in progress and research developed by PhD students, with the aim of making them available to a broad audience and promote the exchange and collaboration among experienced and young researchers from the different Italian Universities and Research Organizations.
The workshop will be held at Politecnico di Milano in Aula Alpha, building 24, Via Golgi 42, Milano, Italy.
All InfQ participants must register using the registration form. Details will follow.
Submission process and types of contributions
Contributions must be submitted in electronic format (PDF) through Easychair (following this link). Submitted papers must be unpublished and not submitted elsewhere, written in English, and formatted according to the Springer LaTex style.
Two different types of contributions are welcome:
Each submitted paper will be reviewed by at least three referees, from a Program Committee combining together leading Italian and international researchers, on the basis of originality, scientific and practical contribution to the state-of-the-art, technical soundness, and quality of presentation. The previous rules also apply to the special track papers.
All accepted papers will be presented at the workshop. We are currently working to include InfQ conference proceedings in the CCIS (Communications in Computer and Information Science) series, published by Springer Verlag (acceptance pending), which is included in Springer e-book packages and covered by all major indexing services, including Scopus.
Proceedings will be published after the Workshop, and electronic versions of accepted papers will be distributed in electronic format.
The workshop program will also include a PhD Defense Corner were doctoral students who have already achieved a good level of maturity in their research program can present and discuss an early version of their dissertation. Proposals of presentation, not exceeding 4 pages and including title, abstract, contact information, and affiliation must be submitted directly to the PC Chairs.
Contributions should be submitted in electronic format (PDF) through Easychair.
Easychair submission link: https://easychair.org/conferences/?conf=infq2018
Paper submission: 23 September 2018
Notification of acceptance: 28 October 2018
Camera ready submission: 8 November 2018
Workshop: November 22, 2018
Marco Gribaudo, Politecnico di Milano
Danilo Ardagna, Politecnico di Milano
Giuseppe Serazzi, Politecnico di Milano
Gianfranco Balbo, Università di Torino
Program Chair for the Special Track on Machine Learning
Paolo Cremonesi, Politecnico di Milano
Matteo Sottana, University of Venice
Salvatore Distefano, University of Messina
Marcello Bersani, Politecnico di Milano
Riccardo Pinciroli, Politecnico di Milano
Program Committee – to be completed
Michele Amoretti, University of Parma
Mauro Andreolini, University of Modena and Reggio Emilia
Ezio Bartocci, TU Wien
Marco Beccuti, University of Turin
Enrico Bini, University of Turin
Andrea Bondavalli, University of Florence
Luca Bortolussi, Università di Trieste
Alessio Botta, Università di Napoli “Federico II”
Dario Bruneo, University of Messina
Maria Carla Calzarossa, University of Pavia
Massimo Canonico, University of Piemonte Orientale “A. Avogadro”
Valeria Cardellini , Università di Roma “Tor Vergata”
Laura Carnevali, University of Florence
Giuliano Casale, Imperial College London
Emiliano Casalicchio, Blekinge Institute of Technology
Stefano Cereda, Politecnico di Milano
Daivde Cerotti, University of Piemonte Orientale “A. Avogadro”
Lydia Y. Chen, IBM Zurich
Daniele Codetta Raiteri, University of Piemonte Orientale “A. Avogadro”
Vittorio Cortellessa, Università dell’Aquila
Vittoria De Nitto Persone’, Università di Roma Tor Vergata
Salvatore Di Stefano, University of Messina
Jean-Michel Fourneau, University de Versailles
Rossano Gaeta, University of Turin
Erol Gelenbe, Imperial College London
Leana Golubchik, USC Viterbi
Marco Guazzone, University of Piemonte Orientale “A. Avogadro”
Jane Hillston, University of Edinburgh
Andras Horvath, University of Torino
Mauro Iacono, Università degli Studi della Campania “Luigi Vanvitelli”
Stefano Iannucci, Mississippi State University
Alain Jean-Marie, INRIA
William Knottenbelt, Imperial College of London
Diwakar Krishnamurthy, University of Calgary, Canada
Riccardo Lancellotti, University of Modena and Reggio Emilia
Francesco Longo, University of Messina
Francesco Lo Presti, Università di Roma “Tor Vergata”
Michele Loreti, Università di Camerino
Fumio Machida, NEC Corp.
Raffaela Mirandola, Politecnico di Milano
Marco Paoleri, Univeristy of Southern California
Simon Pietro Romano, Universita’ di Napoli Federico II
Marco Scarpa, University of Messina
Mark Squillante, IBM Research, USA
Giovanni Stea, University of Pisa
Nigel Thomas, University of Newcastle
Mirco Tribastone, IMT, Lucca
Kishor Trivedi, Duke University
Francesco Zanichelli, University of Parma
Li Zhang, IBM Research, USA