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EXTENDED deadline for open postdoc position (Geoazur/Inria)
by Josiane Zerubia 27 Jun '19

27 Jun '19

---------------------------------------------------------------------------------------------------------------------------------- Open post-doc position at Géoazur in collaboration with Inria, at Sophia Antipolis, France, in the research area: Curvilinear network detection on satellite images using AI, stochastic models and deep learning. EXTENDED Submission deadline July 31, 2019 ---------------------------------------------------------------------------------------------------------------------------------- Open Position for a post-doc scientist at Géoazur (https://geoazur.oca.eu/fr/acc-geoazur) in collaboration with Inria (https://www.inria.fr/en/centre/sophia), at Sophia Antipolis (Nice region), France, in the area of Computer Vision, Deep Learning and Remote Sensing applied to curvilinear detection on both optical and SAR satellite images (project abstract below). Both Geoazur and Inria Sophia Antipolis are ideally located in the heart of the French Riviera, inside the multi-cultural silicon valley of Europe (ie. Sophia-Antipolis, see https://en.wikipedia.org/wiki/Sophia_Antipolis). This position is funded by University Côte d'Azur (UCA, see http://univ-cotedazur.fr/en#.XOforoWTpT4). Duration: 18 months Starting date: between September 1st and December 1st 2019. Salary: gross salary per month 3000 EUR (ie. approximately 2400 EUR net) Please see full announcement https://faultsrgems.oca.eu/images/FAULT/News/Post-doc_offer-AI-ManighettiZe…, or on https://euraxess.ec.europa.eu/jobs/411481 Candidate profile Strong academic backgrounds in Stochastic Modeling, Deep Learning, Computer Vision, Remote Sensing and Parallel Programming with GPUs and/or multicore CPUs. A decent knowledge of Earth and telluric features (especially faults) will be appreciated. To apply, please email a full application to both Isabelle Manighetti (manighetti(a)geoazur.unice.fr) and Josiane Zerubia (josiane.Zerubia(a)inria.fr), indicating “UCA-AI-post-doc” in the e-mail subject. The application should contain: - a motivation letter demonstrating motivation, academic strengths and related experience to this position. - CV including publication list - at least two major publications in pdf - minimum 2 reference letters Project abstract Curvilinear structure networks are widespread in both nature and anthropogenic systems, ranging from angiography, earth and environment sciences, to biology and anthropogenic activities. Recovering the existence and architecture of these curvilinear networks is an essential and fundamental task in all the related domains. At present, there has been an explosion of image data documenting these curvilinear structure networks. Therefore, it is of upmost importance to develop numerical approaches that may assist us efficiently to automatically extract curvilinear networks from image data. In recent years, a bulk of works have been proposed to extract curvilinear networks. However, automated and high-quality curvilinear network extraction is still a challenging task nowadays. This is mainly due to the network shape complexity, low-contrast in images, and high annotation cost for training data. To address the problems aroused by these difficulties, this project intends to develop a novel, minimally-supervised curvilinear network extraction method by combining deep neural networks with active learning, where the deep neural networks are employed to automatically learn hierarchical and data-driven features of curvilinear networks, and the active learning is exploited to achieve high-quality extraction using as few annotations as possible. Furthermore, composite and hierarchical heuristic rules will be designed to constrain the geometry of curvilinear structures and guide the curvilinear graph growing. The proposed approach will be tested and validated on extraction of tectonic fractures and faults from a dense collection of satellite and aerial data and “ground truth” available at the Géoazur laboratory in the framework of the Faults_R_Gems project co-funded by the University Côte d’Azur (UCA) and the French National Research Agency (ANR). Then we intend to apply the new automatic extraction approaches to other scenarios, as road extraction in remote sensing images of the Nice region, and blood vessel extraction in available medical image databases. -- Josiane Zerubia INRIA Sophia-Antipolis Méditerranée BP 93, 2004 Route des Lucioles 06902 Sophia-Antipolis Cedex - France phone: +33 4 92 38 78 65, fax: +33 4 92 38 78 58 email: Josiane.Zerubia(a)inria.fr web: http://www-sop.inria.fr/members/Josiane.Zerubia/index-eng.html

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Puntata di radio 3 scienza
by Lorenzo Zambotti 24 Jun '19

24 Jun '19

Gentili colleghi e colleghe, vi segnalo il link al podcast di una puntata di radio 3 scienza della settimana scorsa, in cui si e' parlato di Ernst e Martin Hairer e in cui mi e' stato chiesto di intervenire (in diretta dal congresso di Vietri sul Mare) https://www.raiplayradio.it/audio/2019/06/RADIO3-SCIENZA-del-20062019---Di-…

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Corso Enrico Scalas presso UNISA
by Barbara Martinucci 22 Jun '19

22 Jun '19

Università degli Studi di Salerno Dipartimento di Matematica Si rende noto che nel periodo 25 giugno - 12 luglio 2019 si terrà il corso di dottorato "From Markov chains to semi-Markov processes: The consequences of time change". Le lezioni saranno tenute dal Prof. Enrico Scalas, Professor of Statistics & Probability, University of Sussex, UK (pagina web: http://www.sussex.ac.uk/profiles/330303) e si terranno nella sala del consiglio del Dipartimento di Matematica secondo il seguente calendario: - lezione 1 (2 ore): martedì 25 giugno, ore 11:00-13:00; - lezione 2 (3 ore): venerdì 28 giugno, ore 10:00-13:00; - lezione 3 (3 ore): martedì 2 luglio, ore 10:00-13:00; - lezione 4 (3 ore): giovedì 4 luglio, ore 10:00-13:00; - lezione 5 (2 ore): martedì 9 luglio, ore 11:00-13:00; - lezione 6 (3 ore): venerdì 12 luglio, ore 10:00-13:00. Gli interessati sono invitati a partecipare. I contenuti del corso sono riportati qui di seguito. Research context What happens if the discrete time at which innovations occur for a Markov chain is replaced by a counting process? If the counting process is the Poisson process, one still gets a Markov process. On the contrary, if the counting process is of renewal type, the resulting process is no longer Markovian: It becomes a semi-Markov process. Semi-Markov processes have infinite memory and are naturally related to non-local operators in time such as the so-called Caputo derivative that appears when the expected values of inter-event times diverge. For this reason, there has been a surge of interest on these processes in recent years. Syllabus: 1. From Markov chains to semi-Markov processes: General framework (2 hours) 1.1 From the Poisson process to the fractional Poisson process 1.2 Time change and its consequences 2. Example 1: Continuous-time random walks (CTRWs) and applications (8 hours) 2.1 The diffusion equation and the normal compound Poisson process 2.2 The space-time fractional diffusion equation and CTRWs 2.3 Some applications 3. Example 2: Semi-Markov graph dynamics (6 hours) Pre-requisites The course will be accessible to first year PhD students (Corso di Dottorato in Matematica, Fisica e Applicazioni). In fact, the main pre-requisites are: 1. An introductory course in probability and statistics. 2. Fourier and Laplace transforms. Learning objectives After following this course, the students should be able: 1. To read and understand the recent literature on semi-Markov process 2. To perform calculations on continuous-time random walks and other semi-Markov processes using elementary probabilistic methods Essential references: - Scalas, Enrico (2017) Continuous-time statistics and generalized relaxation equations. European Physical Journal B: Condensed Matter and Complex Systems, 90 (11). p. 209. ISSN 1434-6028. - Baleanu, Dumitru, Diethelm, Kai, Scalas, Enrico and Trujillo, Juan J (2016) Fractional calculus: models and numerical methods (2nd edition). Series on complexity, nonlinearity and chaos, 5. World Scientific, Singapore. ISBN 9789813140035. - Georgiou, Nicos, Kiss, Istvan Z and Scalas, Enrico (2015) Solvable non-Markovian dynamic network. Physical Review E, 92 (4). 042801. ISSN 1539-3755.

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annuncio seminario
by Piccioni, Mauro 21 Jun '19

21 Jun '19

Martedì 25 giugno 2019 alle ore 15 in Aula di Consiglio del Dipartimento di Matematica Guido Castelnuovo, Sapienza Università di Roma Il Prof. Antonio Galves dell'Instituto de Matematica e Estadistica Universidade de Sao Paulo terrà una conferenza dal titolo: CHAINS WITH MEMORY OF VARIABLE LENGTH AS NEUROBIOLOGICAL MODELS Tutti gli interessati sono invitati a partecipare. Per informazioni rivolgersi a Mauro Piccioni.

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Dottorato in Matematica a Roma La Sapienza
by Faggionato, Alessandra 19 Jun '19

19 Jun '19

Buongiorno e' uscito il bando per il Dottorato in Matematica alla Sapienza. Informazioni dettagliate si trovano al sito https://phd.uniroma1.it/web/CONCORSO-DI-AMMISSIONE-XXXV-MATEMATICA_nX3519_I… Grazie per l'attenzione Saluti Alessandra Faggionato -- ************************************************* Prof. Alessandra Faggionato http://www1.mat.uniroma1.it/~faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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ricercatore RTD-B a Pisa
by Marco Romito 18 Jun '19

18 Jun '19

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New PhD program
by Franco Flandoli 15 Jun '19

15 Jun '19

New PhD program at Scuola Normale Superiore, Pisa, Italy — Call for applications At least nine PhD Fellowships are available for students interested in pursuing a PhD degree in Computational Methods and Mathematical Modeling for the Sciences and Finance. Areas of study include Numerical Analysis and Scientific Computing, Mathematical Models for the Sciences and Finance, Computational Physics/Chemistry/Biology, and Operations Research. A description of the new PhD program can be found at https://www.sns.it/en/computational-methods-and-mathematical-models-for-sci… For instruction on how to apply, please see https://www.sns.it/en/admissions/phd/how-to-apply-for-the-post-graduate-cou…

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New PhD program at Scuola Normale Superiore, Pisa, Italy — Call for applications
by Maria Elvira Mancino 14 Jun '19

14 Jun '19

>> ---------------------------------------------------------- >> >> New PhD program at Scuola Normale Superiore, Pisa, Italy -- Call for applications >> >> At least nine PhD Fellowships are available for students interested in pursuing a PhD degree in >> >> COMPUTATIONAL METHODS AND MATHEMATICAL MODELING FOR THE SCIENCES AND FINANCE. >> >> Areas of study include Numerical Analysis and Scientific Computing, Mathematical Models for the Sciences and Finance, Computational Physics/Chemistry/Biology, and Operations Research. >> >> A description of the new PhD program can be found at >> >> https://www.sns.it/en/computational-methods-and-mathematical-models-for-sci… >> >> For instruction on how to apply, please see >> >> https://www.sns.it/en/admissions/phd/how-to-apply-for-the-post-graduate-cou… >> >> --------------------------------------------------

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Second Italian Meeting on Probability and Mathematical Statistics
by Antonio DI CRESCENZO 12 Jun '19

12 Jun '19

Dear Colleagues, we recall that the *Second Italian Meeting on Probability and Mathematical Statistics* is forthcoming (Vietri sul Mare (SA), Italy, June 17th - 20th, 2019). See all details at the conference web site: http://www.salerno2019.dipmat.unisa.it Looking forward meeting you soon in Vietri sul Mare. *The Scientific Committee* Claudia Ceci, Paolo Dai Pra, Antonio Di Crescenzo, Franco Fagnola, Franco Flandoli, Antonio Lijoi, Andrea Pascucci, Franco Pellerey, Laura Sacerdote *The Local Organizing Committee* Giacomo Ascione, Aniello Buonocore, Camilla Calì, Luigia Caputo, Antonio Di Crescenzo, Maria Longobardi, Barbara Martinucci, Alessandra Meoli, Luca Paolillo, Paola Paraggio, Enrica Pirozzi, Fabio Travaglino

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Seminario: Samuele Stivanello, Ecology of human activities
by Antonio Pievatolo 11 Jun '19

11 Jun '19

Lunedi' 17 giugno alle 14:45, presso il CNR-IMATI, in via A. Corti, 12, Milano, Aula Pentagonale edificio Bassini II piano, si terrà il seguente seminario: Samuele Stivanello, Dipartimento di Matematica, Universita' di Padova Title: Ecology of human activities Abstract: One of the most studied macro-ecological pattern is the Relative Species Abundance (RSA), describing the distribution of the population among species. Various natural ecosystems share a common shape of the empirical RSA and through years ecologists have used several recipes - some of them are rule of thumb prescriptions - to determine global RSA features from local information. Recently our group has developed a rigorous statistical framework able to predict global scale biodiversity from scattered local plots ([2], [3]). Such a framework is derived from a simple mathematical model informed by basic biological assumptions. In this talk we illustrate how to adapt/generalize such an approach to human activities. In particular we consider four datasets of man-made systems and/or network mediated human activities: e-mail communication, Twitter posts, Wikipedia articles and Gutenberg books. Once we set the proper correspondence to what we consider species and individuals of a species, our approach reveals RSA is scale-free in each mentioned dataset with a power law form maintained - with roughly the same exponent - through the different human activities considered. In turn, RSA scale-invariance allows us to use activity information on local scale to predict hidden features of the human dynamics at the global scale. E-mail communication is particular relevant to illustrate our method as well as our results and possible applications. We consider the senders’ activity network where each node is a sender and a directed link from node A to node B represents an email issued from user A to user B. We set the identity of a sender to identify the species and the number of sent emails to be the individuals pertaining to a species. Thus, for instance, if user A has sent n emails we say that the species A has n individuals. Now, suppose an observer has access to a small sample of sent emails, or equivalently to partial information on links and nodes of the email communication network. Our method is capable to infer the number of nodes (i.e. the number of users) and the degree distribution (i.e. the topology) of the whole network, thus revealing features of the dynamics unknown to the observer. Moreover, our framework predicts how the number of users grows with the number of links recorded, which represents another well known pattern in ecology called the Species-Accumulation Curve (SAC). These findings may have applications in resource management, optimal network design and information diffusion on graphs. This is a work in collaboration with M. Formentin, A. Tovo and S. Favaro [1]. [1] M. Formentin, A. Tovo, S. Stivanello, S. Favaro. Ecology of human activities. In preparation, 2019+. [2] A. Tovo, S. Suweis, M. Formentin, M. Favretti, I. Volkov, J. R. Banavar, S. Azaele, A. Maritan. Upscaling species richness and abundances in tropical forests. Science Advances 3 (10) (2017) e1701438. [3] A. Tovo, M. Formentin, S. Suweis, S. Stivanello, S. Azaele. A. Maritan. Inferring macro-ecological patterns from local species’ occurrences. Methods in Ecology and Evolution, submitted, 2019. -- Dr Antonio Pievatolo IMATI-CNR http://www.imati.cnr.it/joomla/index.php/people?layout=edit&id=101 ph. +39 02 23699 520

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