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GRUPPO DI INGEGNERIA INFORMATICA - ING-INF/05
Department of Information Engineering (DII), Marche Polytechnic University (UNIVPM)
Institute for Research Development, Training and Advice (IRDTA) Brussels / London
BigDat 2020 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of big data, which covers a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, medicine, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience.
Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, security and privacy, and applications (to biological and health sciences, to business, finance and transportation, to online social networks, etc.). Major challenges of analytics, management and storage of big data will be identified through 2 keynote lectures and 24 four-hour and a half courses, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event.
An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles.
Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels,
specific knowledge background may be assumed for some of the courses. Overall, BigDat 2020 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.
3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.
BigDat 2020 will take place in Ancona, a city founded by Greek settlers and today one of the main ports on the Adriatic Sea. The venue will be:
Department of Information Engineering
Marche Polytechnic University
Via Brecce Bianche 12
KEYNOTE SPEAKERS: (to be completed)
Jie Tang (Tsinghua University), Graph Embedding and Reasoning
PROFESSORS AND COURSES: (to be completed)
Jiawei Han (University of Illinois, Urbana-Champaign), [advanced] From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration
Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences
Peter Rousseeuw (KU Leuven), [introductory] Anomaly Detection by Robust Methods
Asim Roy (Arizona State University), [intermediate] Hardware-based (GPU, FPGA based) Machine Learning – An Overview of Algorithms and Implementation Ideas and Methods
Hanan Samet (University of Maryland), [intermediate] Multidimensional, Spatial, and Metric Data Structures for Sorting in Space and Similarity Searching
Rory Smith (Monash University), [introductory/intermediate] Learning from Data, the Bayesian Way
Jeffrey Ullman (Stanford University), [introductory] Big-data Algorithms That Aren't Machine Learning
Wil van der Aalst (RWTH Aachen University), [introductory/intermediate] Process Mining: A Very Different Kind of Machine Learning That Can Be Applied in Any Organization
An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to email@example.com by January 5, 2020.
A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People participating in the demonstration must register for the event. Expressions of interest have to be submitted to firstname.lastname@example.org by January 5, 2020.
Firms searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for, to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to email@example.com by January 5, 2020.
Emanuele Frontoni (Ancona, co-chair)
Sara Morales (Brussels)
Manuel J. Parra-Royón (Granada)
David Silva (London, co-chair)
Flavio Tonetto (Ancona, industrial chair)
Domenico Ursino (Ancona, co-chair)
It has to be done at
The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish.
Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue is exhausted. It is highly recommended to register prior to the event.
Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline.
Suggestions for accommodation will be available in due time.
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.
QUESTIONS AND FURTHER INFORMATION:
Dipartimento di Ingegneria dell’Informazione (DII), Università Politecnica delle Marche (UNIVPM)
Institute for Research Development, Training and Advice (IRDTA) – Brussels/London
Call for Participation - SIROCCO 2019. -------------------------------------------------------------------------------------------------------- 26th Int. Colloquium on Structural Information and Communication Complexity Gran Sasso Science Institute, L’Aquila, Italy, 1-4 July 2019 https://cs.gssi.it/sirocco2019/ -------------------------------------------------------------------------------------------------------- Early Registration Deadline: 10 June! The 26th International Colloquium on Structural Information and Communication Complexity (SIROCCO 2019) will be held in L’Aquila, a beautiful historical city in the mountain side, 100km away from Rome. SIROCCO is devoted to the study of the interplay between structural knowledge, communication, and computing in decentralized systems of multiple communicating entities. Special emphasis is given to innovative approaches leading to better understanding of the relationship between computing and communication. SIROCCO has a tradition of interesting and productive scientific meetings in a relaxed and pleasant atmosphere, attracting leading researchers in a variety of fields in which communication and knowledge play a significant role Invited Speakers: - Susanne Albers, TU München, Germany - Paola Flocchini, University of Ottawa, Canada - Pierre Fraigniaud, CNRS and University Paris Diderot, France - Merav Parter, Weizmann Institute of Science, Israel A tutorial of 6 hours will be offered to all the attendees on July 1st by Roger Watthenofer, ETH Zurich, Switzerland For more information about SIROCCO, its history, the venue, registration, program etc. please visit the web-site https://cs.gssi.it/sirocco2019/ Till the early registration deadline of the 10th of June a set of rooms has been reserved to the SIROCCO attendees in the hotels associated to the conference at an agreed reduced rate. We look forward to seeing you in L’Aquila in July!
Informo i colleghi che nel mese di settembre si terra a Catania il seguente evento rivolto agli studenti di dottorato e a giovani ricercatori. Un numero selezionato di articoli presentati al workshop saranno pubblicati su Journal o Book indicizzati Scopus o Web of Science
Contributions to the reconstruction of frescoes with a special prize for autistic participants
we are pleased to invite scholars and researchers in Computer Vision and Pattern Recognition communities to participate in the “DAFNE: Digital Anastylosis of Frescoes challeNgE”. This is an international competition in the artistic heritage sector designed to provide virtual solutions that ultimately add to the fresco restorer’s toolkit. Specifically, the DAFNE challenge relates to ways of reassembling fresco fragments collected, photographed and catalogued after a destructive event.
Initially designed to engage people with autism in composition tasks that encouraged their inclusion in productive activities and promoted their skills, the competition was widened to embrace the application of advanced computer techniques, such as machine learning and deep learning, to the development of IT tools in this sector.
The challenge notice is available at: https://vision.unipv.it/DAFNE and online registrations are open from February 27th to May 31st 2019.
1) A Metric award (4,000.00 EUR) for the best solution assessed on the basis of correctly reconstructed areas;
2) An Inclusion award (2,000.00 EUR) reserved for people with autism;
3) A High Tech award (2,000.00 EUR) for the most innovative high tech solution.
We hope that this initiative will arouse your interest. Please consider contributing to it and/or forwarding this email to appropriate groups. Do not hesitate to contact us for any further information.
Informo i colleghi interessati che quest'anno l'evento internazionale:
IEEE-ACM 23rd Symposium on Distributed Simulation and Real-Time Applications (DS-RT 2019)
si terrà a Cosenza dal 7 al 9 Ottobre 2019. Tutte le informazioni (CfP, deadline, track, etc.) sono
consultabili sul sito:
Spero che molti possano considerare di sottomettere un proprio articolo.
Ringrazio per l'attenzione
Dipartimento di Ingegneria Informatica Modellistica Elettronica e Sistemistica (DIMES)
Università della Calabria
87036 Rende (CS) Italy