Univerza na Primorskem Fakulteta za matematiko, naravoslovje in informacijske tehnologije
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Ponedeljkov seminar računalništva in informatike - Arhiv

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četrtek, 4. maj 2017 On Applying Surrogates in Evolutionary (Multi-Objective) Optimisation

V ponedeljek, 8. maja 2017, bo ob 16.00 uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

PLACE: FAMNIT-1-MP2 ob 16:00

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LECTURER: prof. Boris Naujoks

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TITLE: On Applying Surrogates in Evolutionary (Multi-Objective) Optimisation

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ABSTRACT:
The presentation will start with a short introduction to evolutionary algorithms (EA) and the concepts of Pareto-based multi-objective optimisation that are often applied in EA. The industrial applicability of EA is often said to be limited by the runtime of the algorithm, which itself is heavily depending on the time spent for single fitness function evaluations. For this scenario, the method of learning and incorporating surrogate models became a state-of-the-art during the last decade. To introduce surrogate-assisted EA, we first focus on different modelling techniques that were applied frequently. After that, we look at different techniques on how to integrate surrogates into EA and discuss typical problems arising when implementing these in real-world optimisation tasks. The talk will conclude with a discussion of open issues.

BIO:
Boris Naujoks is a professor for Applied Mathematics at TH Köln - Cologne University of Applied Sciences (CUAS). He joined CUAs after he received his PhD from Dortmund Technical University. During his time in Dortmund, in the group of Hans-Paul Schwefel, Boris worked as a research assistant in different projects and, additionally, gained industrial experience working for different SMEs. Meanwhile, he enjoys the combination of teaching mathematics as well as computer science and exploring EC and CI techniques at the Campus Gummersbach of CUAS. He focuses on multi-objective (evolutionary) optimisation, the integration of surrogates, and the (industrial) applicability of the explored methods.

Predavanje je organizirano v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM ter SYNERGY - H2020 TWINNING projekta.

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četrtek, 20. april 2017 Challenges for the Web of Things : interoperability, privacy and software architectures

V ponedeljek, 24. aprila 2017, bo ob 16.00 uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

PLACE: FAMNIT-1-MP2 at 16:00
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LECTURER: Michael MRISSA, Full professor at the University of Pau, France
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TITLE: Challenges for the Web of Things : interoperability, privacy and software architectures
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ABSTRACT:
The Web of Things holds the promise of a decentralized application platform where Web languages and protocols seamlessly enable interaction within and between cyber-physical systems. However, despite ongoing progress on automating machine-to-machine communication, providing Web-based applications that combine heterogeneous connected objects remains an open problem.
In this seminar, we will give an overview of today's challenges to build the Web of Things, before presenting some contributions related to the need for interoperability and privacy.
We will introduce the ASAWoO project (http://liris.cnrs.fr/asawoo/) that provides an avatar-based software architecture for connected objects.
From these contributions, we will suggest and discuss research perspectives to build the essential link between connected objects and the Web.

ABOUT THE LECTURER:
(http://mmrissa.perso.univ-pau.fr/)
Michael Mrissa works as a full professor at the Université de Pau et des Pays de l'Adour since september 2016. He teaches at the Computer Science department of the Science and Techniques Research and Teaching Unit of Pau. He does his research at the LIUPPA laboratory, in the MOVIES team. His main interests are related to connected objects, the semantic Web, service- and resource-oriented technologies.

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četrtek, 16. marec 2017 Ubiquitous User Interfaces

2017-03-20
16:00
Famnit 1 MP 2
Aaron Quigley
Ubiquitous User Interfaces

V ponedeljek, 20. marca 2017, bo ob 16.00 uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

PROSTOR: FAMNIT-1-MP2 ob 16:00

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PREDAVATELJ:

Professor Aaron Quigley
Chair of Human Computer Interaction
SACHI, School Of Computer Science
North Haugh, The University of St Andrews
Fife KY16 9SX, Scotland

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NASLOV: Ubiquitous User Interfaces

POVZETEK:
Displays are all around us, on and around our body, fixed and mobile, bleeding into the very fabric of our day to day lives. Displays come in many forms such as smart watches, head-mounted displays or tablets and fixed, mobile, ambient and public displays. However, we know more about the displays connected to our devices than they know about us. Displays and the devices they are connected to are largely ignorant of the context in which they sit including knowing physiological, environmental and computational state. They don't know about the physiological differences between people, the environments they are being used in, if they are being used by one or more persons.

In this talk I review a number of aspects of displays in terms of how we can model, measure, predict and adapt how people can use displays in a myriad of settings. With modeling we seek to represent the physiological differences between people and use the models to adapt and personalize designs, user interfaces. With measurement and prediction we seek to employ various computer vision and depth sensing techniques to better understand how displays are used. And with adaptation we aim to explore subtle techniques and means to support diverging input and output fidelities of display devices. This talk draws on a number of studies from work published in UIST, CHI, MobileHCI, IUI, AVI and UMAP.

Bio:
Professor Aaron Quigley is the Chair of Human Computer Interaction in the School of Computer Science at the University of St Andrews, UK. He is visiting the University of Primorska until March 24th. Aaron is the ACM SIGCHI Vice President for Conferences (and former ACM SIGCHI Adjunct Chair for Specialised Conferences). Aaron's research interests include surface and multi-display computing, human computer interaction, pervasive and ubiquitous computing and information visualisation. He has published over 160 internationally peer-reviewed publications including edited volumes, journal papers, book chapters, conference and workshop papers and holds 3 patents. In addition he has served on over 80 program committees and has been involved in chairing roles of over 20 international conferences and workshops including UIST, ITS, CHI, Pervasive, UbiComp, Tabletop, LoCA, UM, I-HCI, BCS HCI and MobileHCI.

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