BEGIN:VCALENDAR VERSION:2.0 PRODID:-//ISISLab - ECPv6.3.3//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:ISISLab X-ORIGINAL-URL:https://www.isislab.it X-WR-CALDESC:Eventi per ISISLab REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/Rome BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20190331T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20191027T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20190701T110000 DTEND;TZID=Europe/Rome:20190701T120000 DTSTAMP:20260917T054813 CREATED:20190625T174909Z LAST-MODIFIED:20190626T073619Z UID:2089-1561978800-1561982400@www.isislab.it SUMMARY:"Data Parallel Frameworks for Accelerating Machine Learning Algorithms"\, Prof. Lixin Gao\, University of Massachusetts at Amherst (USA) DESCRIPTION:Abstract: The advances in sensing\, storage\, and networking technology have created huge collections of high-volume\, high-dimensional data. Making sense of these data is critical for companies and organizations to make better business decisions\, and brings convenience to our daily life. Recent advances in data mining\, machine learning\, and applied statistics have led to a flurry of data analytic techniques that typically require an iterative refinement process. However\, the massive amount of data involved and potentially numerous iterations required make performing data analytics in a timely manner challenging. In this talk\, we present a series of data parallel frameworks that accelerate iterative machine learning algorithms for massive data. \n\n \n\n\n\nShort Bio: Lixin Gao is a University Distinguished Professor of Electrical and Computer Engineering at the University of Massachusetts at Amherst. She received a Ph.D. degree in Computer Science from the University of Massachusetts at Amherst. Her research interests include online social networks\, and Internet routing\, network virtualization and cloud computing. Between May 1999 and January 2000\, she was a visiting researcher at AT&T Research Labs and DIMACS. She was an Alfred P. Sloan Fellow between 2003-2005 and received an NSF CAREER Award in 1999. She won the best paper award from IEEE INFOCOM 2010\, and the test-of-time award in ACM SIGMETRICS 2010. Her paper in ACM Cloud Computing 2011 was honored with “Paper of Distinction”. She received the Chancellor’s Award for Outstanding Accomplishment in Research and Creative Activity in 2010\, College of Engineering Outstanding Senior Faculty Award in 2013\, and Outstanding Achievement in Research Award by College of Information and Computer Sciences at the University of Massachusetts in 2015. She is a fellow of IEEE and ACM. URL:https://www.isislab.it/event/data-parallel-frameworks-for-accelerating-machine-learning-algorithms/ LOCATION:Sala Seminari del Dipartimento\, II Piano\, Edificio F\, Dipartimento di Informatica\, Università di Salerno CATEGORIES:Seminari ATTACH;FMTTYPE=image/png:https://www.isislab.it/wp-content/uploads/2019/06/primoLuglio2019-1.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20190702T100000 DTEND;TZID=Europe/Rome:20190702T110000 DTSTAMP:20260917T054813 CREATED:20190625T175430Z LAST-MODIFIED:20190626T073528Z UID:2095-1562061600-1562065200@www.isislab.it SUMMARY:Human-AI Cognitive Symbiosis di Dr. Alessandra Sala\, Analytics Research at Nokia Bell Labs DESCRIPTION:Abstract: The era of a new definition of AI has arrived and it calls for a synergetic alliance of technologists\, regulators and social-psychological scientists. Bell Labs is studying the limits of human cognition to define a new paradigm of Human-AI cognitive symbiosis which would amplify human intelligence at biological and cognitive levels. Exiting AI systems are still unable to amplify human capabilities into new cognitive levels. Our Augmented Human Cognition research program leverages the latest discoveries in physiological\, neurological and psychological sciences along with our algorithmic AI knowledge to deeply inter-connect intelligent systems and human cognition to embark the ultimate human cognitive revolution. This talk will describe how new AI models for knowledge organization and presentation can improve critical decisions making\, people general knowledge and more informed business strategies. \n\n\n\nShort Bio: Alessandra Sala is the Head of Analytics Research at Nokia Bell Labs\, the Technology Advisory Board Member at CeADAR and the Irish Ambassador of Women in AI. She has more than 10 years of experience in research and innovation\, both in academia and industry\, specifically on advanced analytics\, customer experience\, AI-based automation of cloud applications and machine learning for networks orchestration. Her track record of transferring innovation from research into business units was awarded in 2017 as ITP Innovator of the Year. She has strong experience with a wide range of telco products and systems while managing diverse teams in multiple locations. Her research focus lies on distributed algorithms\, data analytics and complexity analysis with an emphasis on graph algorithms and recently AI\, machine learning and deep learning URL:https://www.isislab.it/event/human-ai-cognitive-symbiosis-di-dr-alessandra-sala-analytics-research-at-nokia-bell-labs/ LOCATION:Sala Seminari del Dipartimento\, II Piano\, Edificio F\, Dipartimento di Informatica\, Università di Salerno CATEGORIES:Seminari ATTACH;FMTTYPE=image/png:https://www.isislab.it/wp-content/uploads/2019/06/2Luglio2019-2.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20190712T150000 DTEND;TZID=Europe/Rome:20190712T153000 DTSTAMP:20260917T054813 CREATED:20190708T070348Z LAST-MODIFIED:20190709T095849Z UID:2130-1562943600-1562945400@www.isislab.it SUMMARY:Seminario: "Agent Based Model Simulations in RUST" di Daniele De Vinco DESCRIPTION:Abstract: Descrivere il funzionamento o l’evoluzione di sistemi complessi è una sfida attuale che si sta affrontando in molti campi di ricerca. I modelli di simulazione basati su agenti mirano a simulare il comportamento di molteplici agenti\, sotto determinate condizioni\, relazioni ed interazioni\, al fine di emulare o predire un determinato fenomeno. In questo seminario verrà mostrata AB-Rust\, la libreria ispirata a MASON implementata con Rust. URL:https://www.isislab.it/event/seminario-di-daniele-de-vinco/ LOCATION:Laboratorio ISISLab\, Dipartimento di Informatica\, Università di Salerno (Edificio F\, Lab. 10\, II piano)\, Via Giovanni Paolo II\, 132\, 84084 Fisciano SA Fisciano\, Italy Italy\, Fisciano\, Salerno\, 84084\, Italy CATEGORIES:Seminari ATTACH;FMTTYPE=image/png:https://www.isislab.it/wp-content/uploads/2019/07/abm_rust.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20190712T153000 DTEND;TZID=Europe/Rome:20190712T160000 DTSTAMP:20260917T054813 CREATED:20190708T071809Z LAST-MODIFIED:20190709T121205Z UID:2138-1562945400-1562947200@www.isislab.it SUMMARY:Seminario " Fly\, un ambiente multicloud" di Giuseppe Grieco DESCRIPTION:Abstract: Fly è un Domain Specific Language per il calcolo scientifico su multi-cloud. Nella sua versione "iniziale"\, prima del mio lavoro di tesi\, FLY sfruttava perfettamente l'ambiente cloud AWS. Durante il mio tirocinio è stato integrato l'ambiente cloud Microsoft Azure in FLY al fine di mostrare le sue potenzialità multi-cloud. Lo scopo di questo seminario è di analizzare le fasi di integrazione di Azure e valutare le performance delle singole piattaforme cloud (Azure vs AWS) e verificare i vantaggi derivanti dall'uso congiunto dei due ambienti cloud. URL:https://www.isislab.it/event/seminario-di-giuseppe-grieco/ LOCATION:Laboratorio ISISLab\, Dipartimento di Informatica\, Università di Salerno (Edificio F\, Lab. 10\, II piano)\, Via Giovanni Paolo II\, 132\, 84084 Fisciano SA\, Fisciano\, Italy\, Italy CATEGORIES:Seminari ATTACH;FMTTYPE=image/jpeg:https://www.isislab.it/wp-content/uploads/2019/07/post_fly.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20190717T123000 DTEND;TZID=Europe/Rome:20190717T133000 DTSTAMP:20260917T054813 CREATED:20190708T074254Z LAST-MODIFIED:20190715T140635Z UID:2140-1563366600-1563370200@www.isislab.it SUMMARY:Seminario: "Debug mode on FLY using Localstack" di Giuseppe D'Ambrosio DESCRIPTION:Abstract: "FLY è un Domain Specific Language per il calcolo scientifico su multi-cloud che fornisce un ambiente totalmente trasparente rispetto al provider fornitore dei servizi. Sviluppare un’applicazione è un processo che richiede diversi tentativi di esecuzione per riuscire a rendere il tutto funzionante. Quando si lavora in cloud ciò può risultare particolarmente costoso\, vi è quindi la necessità di poter testare le proprie funzioni in un ambiente totalmente locale\, che non dipenda dei servizi del cloud\, ma che allo stesso tempo ne simuli fedelmente l’esecuzione. Lo scopo di questo seminario è presentare un ambiente di test\, per il linguaggio FLY\, in cui è possibile eseguire funzioni simulando l'ambiente AWS su macchina locale\, senza alcuna dipendenza dai servizi in cloud e senza nessun costo." URL:https://www.isislab.it/event/seminario-di-giuseppe-dambrosio/ LOCATION:Laboratorio ISISLab\, Dipartimento di Informatica\, Università di Salerno (Edificio F\, Lab. 10\, II piano)\, Via Giovanni Paolo II\, 132\, 84084 Fisciano SA\, Fisciano\, Italy\, Italy CATEGORIES:Seminari ATTACH;FMTTYPE=image/jpeg:https://www.isislab.it/wp-content/uploads/2019/07/CopertinaSeminario.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20190719T110000 DTEND;TZID=Europe/Rome:20190719T120000 DTSTAMP:20260917T054813 CREATED:20190716T092707Z LAST-MODIFIED:20190716T114930Z UID:2453-1563534000-1563537600@www.isislab.it SUMMARY:Seminario: "Urban Data Science: from big data to models" di Luca Pappalardo\, Università di Pisa DESCRIPTION:Abstract: The availability of big geo-spatial mobility data in the urban environment (e.g.\, GPS traces\, mobile phone records\, geo-tagged social media posts) is a trend that will grow in the near future. In particular\, this will happen when the shift from traditional vehicles to autonomous\, self-driving\, vehicles\, will transform our society\, the economy and the environment. For this reason\, understanding and modeling urban mobility is of paramount importance for many present and future applications such as traffic forecasting and urban planning\, epidemic modeling\, and the design of new generation wireless mobile networks. During the talk I will present both the fundamental modeling principles of human mobility and artificial intelligence models applicable to specific mobility-related problems. In particular\, starting from the "physical" laws that govern human mobility\, we see how they can be exploited to address fascinating problems in urban data science\, such as the generation of realistic synthetic mobility trajectories\, and the prediction of the future locations visited by individuals. URL:https://www.isislab.it/event/seminario-urban-data-science-from-big-data-to-models-di-luca-pappalardo/ LOCATION:Sala Seminari del Dipartimento\, II Piano\, Edificio F\, Dipartimento di Informatica\, Università di Salerno CATEGORIES:Seminari ATTACH;FMTTYPE=image/png:https://www.isislab.it/wp-content/uploads/2019/07/LucaPappalardo-Seminario-19-07-2019.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20190722T110000 DTEND;TZID=Europe/Rome:20190722T120000 DTSTAMP:20260917T054813 CREATED:20190718T095705Z LAST-MODIFIED:20190722T093012Z UID:8457-1563793200-1563796800@www.isislab.it SUMMARY:Seminario: "3rd ACM Summer School on Data Science" by Alessia Antelmi e Maria Angela Pellegrino DESCRIPTION:Abstract: Cosa mette insieme Mr Data Mining\, esperti di gender e data bias\, guru di data analysis e visualization? La ACM summer school ci è riuscita alla grande. In questo seminario vi racconteremo la nostra esperienza durante la 3rd ACM European summer school on data science. Ci focalizzeremo sugli speaker conosciuti e sui temi trattati. Passeremo dall'analisi di reti a tecniche di data mining\, analysis e visualization\, toccando temi più che mai attuali come gender bias\, privacy ed etica. URL:https://www.isislab.it/event/seminario-3rd-acm-summer-school-on-data-science-by-alessia-e-maria-angela/ LOCATION:Laboratorio ISISLab\, Dipartimento di Informatica\, Università di Salerno (Edificio F\, Lab. 10\, II piano)\, Via Giovanni Paolo II\, 132\, 84084 Fisciano SA\, Fisciano\, Italy\, Italy CATEGORIES:Seminari ATTACH;FMTTYPE=image/jpeg:https://www.isislab.it/wp-content/uploads/2019/07/455209163_479710.jpg END:VEVENT END:VCALENDAR