Ponedeljkov seminar računalništva in informatike - Arhiv

torek, 12. december 2023 Sead JAHIĆ: Sentiment Analysis (SA) of the Bosnian Language (the overview of contributions to SA in Bosnian)

Tokrat izjemoma v četrtek, 14. decembra 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 14. december 2023 ob 16.00 prek Zoom-a.

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PREDAVATELJ: Sead JAHIĆ
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Sead Jahić is in the final year of his PhD. Prior to that, he pursued mathematics at the University of Tuzla (UNTZ) in Bosnia and Hercegovina. In terms of work experience, he served as a teaching assistant at UNTZ in the field of Applied Mathematics and Computer Science. Currently, he is a Teaching Assistant at UP FAMNIT, focusing on Java from introductory levels through GUI to Parallel/Concurrent and Distributed programming.

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NASLOV: Sentiment Analysis (SA) of the Bosnian Language (the overview of contributions to SA in Bosnian)
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POVZETEK:

On the seminar, the contributions to Sentiment Analysis in the Bosnian language will be presented. Insights into the lexicon creation process will be provided first, followed by the discussion of ideas for annotating and ensuring lexicon coverage. The speaker will introduce the MERI (Modifying Emotion-related Intensity) equation for sentiment calculation and demonstrate how Negation clues and AnAwords (Affirmative and non-affirmative) words influence the overall sentiment value of the text through two models they developed: BoSa and BOSentiment. Additionally, a comparison of these models with other ML techniques and CNN will be presented.

Seminar bo potekal v angleškem jeziku prek Zoom-a s pričetkom ob 16:00 uri.

Povezava:
https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09
Meeting ID: 297 328 207
Passcode: 123456789

Vabljeni.

ponedeljek, 4. december 2023 Domen Vake: Smart Floor - Fall Detection

V ponedeljek, 4. decembra 2023, bo ob 16.00 uri izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 4. december 2023 ob 16.00 v FAMNIT-VP3.

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PREDAVATELJ: Domen Vake:
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Domen Vake is a third-year PhD student at UP FAMNIT under the mentorship of Assoc. Prof. Branko Kavšek and Assoc. Prof Jernej Vičič. His research interests include blockchain technologies and machine learning combining them in research of sensor network data.

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NASLOV: Smart Floor - Fall Detection
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POVZETEK:  The presentation will delve into the scientific and technical aspects of our newly developed smart floor system, designed for enhanced fall detection accuracy. We will detail the integration of advanced sensors and sophisticated algorithms that enable real-time monitoring and incident response. Additionally, we will discuss its potential applications in healthcare and elderly care settings, demonstrating how this technology can significantly improve safety standards.

Seminar bo potekal v angleškem jeziku v FAMNIT-VP3 s pričetkom ob 16:00 uri.

Vabljeni.

nedelja, 26. november 2023 Vanja MILESKI: A ResNet Convolutional Neural Network for Time Series data using InceptionNet paradigms

V ponedeljek, 27. novembra 2023, bo ob 16.00 uri izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 27. november 2023 ob 16.00 prek Zoom-a.

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PREDAVATELJ: Vanja MILESKI
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After graduating from the Faculty of Computer and Information Science at the University of Ljubljana in 2015, Vanja Mileski started working at the Jožef Stefan Institute (JSI). He was a Master's student at the International Postgraduate School Jožef Stefan and a student researcher at the JSI. After finishing his Master's studies, he applied his knowledge of data mining in the private sector as a Data Scientist in the retail, telecommunications, banking, stock market and insurance sectors.
His current research interests include time-series classification, deep learning, ResNet and Inception architectures.

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NASLOV: A ResNet Convolutional Neural Network for Time Series data using InceptionNet paradigms
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POVZETEK: 

The recent progress in Convolutional Neural Network (CNN) designs has extended their effectiveness to time series data as well. Time series features, which can be represented as one-dimensional vectors, open the door for training deeper networks using ResNet-inspired structures. Inception modules provide the capability to the network to handle objects and patterns of different sizes and capture both local details and global context. We propose an Inception-Residual CNN model tailored for time series data which will be applied on real-life data in retail.

Seminar bo potekal v angleškem jeziku prek Zoom-a s pričetkom ob 16:00 uri.

Povezava:
https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09
Meeting ID: 297 328 207
Passcode: 123456789

Vabljeni.

petek, 10. november 2023 Ivan Luković: Organizational Capability for Information Management – Do we Feel a Big Data Crisis?

V ponedeljek, 13. november 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 13. november 2023 ob 16.00 v FAMNIT-VP3.

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PREDAVATELJ: Ivan LUKOVIĆ
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Ivan Luković received his Ph.D. at the University of Novi Sad, Faculty of Technical Sciences in 1996. Currently, he works as a Full Professor at the Faculty of Organizational Sciences of the University of Belgrade, where he lectures in several Computer Science and Informatics courses. His research interests are related to Database Systems, Business Intelligence, Software Engineering, and Data Science. He is the author or co-author of over 200 papers, 4 books, and 30 industry projects and software solutions in the area. He supervised 12 completed Ph.D. theses. He created a new set of B.Sc. and M.Sc. study programs in Information Engineering, i.e. Data Science, at the Faculty of Technical Sciences. The programs were accredited the first time in 2015. Currently, he is a chair of Managing Board of the Computer Science and Information Systems (ComSIS) journal, and a chair of M.Sc. study program in Information Engineering at Faculty of Organizational Sciences. He is also a member of Serbian AI Society.

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NASLOV: Organizational Capability for Information Management – Do we Feel a Big Data Crisis?
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POVZETEK: Nowadays, modern business includes acquisition and storing enormous data volumes, larger than ever before. Most often, collected data are used in a shorter time frame, and then they are archived and almost not used, effectively. On the other hand, such data represent a significant value that a company can utilize so as to reach created goals and provide a sustainable development. Unfortunately, a daily practice in many companies still intensively points out to the problem of a serious gap between the identified needs for knowledge, on one hand, and inability of modern software products to address such needs in an effective way, on the other hand. Despite that massive data volumes already exist and that modern information solutions provide the excellent technology prerequisites for a development and industry implementation of high quality software applications. We can call such a phenomenon a “big data crisis”. Some of important causes of the aforementioned phenomenon are in the following: (1) Unsatisfactory level of organization maturity in regard to the: capabilities for information management, quality management, and business processes; (2) Unsatisfactory level of accumulated knowledge in a problem domain; and (3) Unsatisfactory level of accumulated knowledge in a domain of software engineering, particularly in a domain of the development and formal specification of models for software products aimed at generation of company knowledge and decision support. Alleviating the aforementioned phenomenon is a strategic and long term task, possible by simultaneous addressing all its significant causes, only.

In this talk, some of the author's research and educational efforts will be presented, trying to address the most influencing factors for information management and innovations, leading to the digital transformation process.

Seminar bo potekal v angleškem jeziku v predavalnici FAMNIT-VP3 s pričetkom ob 16:00 uri.

Vabljeni.

ponedeljek, 6. november 2023 Uroš SERGAŠ & Jar Žiga MARUŠIČ: The AI alignment problem and its implications for society

V ponedeljek, 6. novembra 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 6. november 2023 ob 16.00 v FAMNIT-VP2.

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PREDAVATELJA: Uroš SERGAŠ & Jar Žiga MARUŠIČ
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Uroš Sergaš is a PhD student in Computer Science at UP FAMNIT, Jar Žiga Marušič is a PhD student in Philosophy at UL FF. Both are also teaching assistants at UP FAMNIT, Uroš in the Department of Information Sciences and Technologies, Jar in the Department of Psychology. Together they are interested in the implications and uses of artificial intelligence in society. Over the summer they researched the AI alignment problem.

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NASLOV: The AI alignment problem and its implications for society
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POVZETEK:

Humanity has again found itself on the brink of a new era, as large language models (LLM) seem poised to bring about important social changes. As these models advance in complexity, the issue of AI alignment is gaining popularity in a daily conversation topic.
This research explores two contrasting viewpoints on the AI alignment problem: the Orthogonalist perspective pioneered by Nick Bostrom and the Anti-orthogonalist critique formulated by Nick Land. The former posits that an AI’s goals are independent of its intelligence, suggesting that a "friendly AI" (fully aligned to human values) is possible. The latter challenges its separation of intelligence and values from the perspective that intelligence increase leads to a greater ability for self-reflection, ultimately leading to a restructuring of its value structure to prioritize further cognitive enhancement. We discuss the implications of these ideas and highlight the current patterns seen in the developments of widely available AI tools, such as LLM.

Seminar bo potekal v angleškem jeziku v predavalnici FAMNIT-VP2 s pričetkom ob 16:00 uri.

Vabljeni.      

ponedeljek, 18. september 2023 Dani ZUGAN: Vrednotenje algoritmov za iskanje najkrajših poti v omrežju

V ponedeljek, 18. septembra 2023, bosta ob 16.00 uri izvedeni dve
predavanji v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 18. september 2023 ob 16.00 na daljavo prek ZOOM-a
(https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09)

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1. predavanje:
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PREDAVATELJ: Jani SUBAN
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Jani Suban je študent prvega letnika magistrskega programa Računalništva in informatike na UP FAMNIT.

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NASLOV: Empirična evalvacija urejenih slovarjev z ALGatorjem
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POVZETEK:

Na seminarju bo predstavljena empirična evalvacija različnih implementacij abstraktne podatkovne strukture urejen slovar. Implementirane podatkovne strukture so binarno iskalno drevo, drevo AVL, rdeče-črno drevo, zip drevo, preskočni seznam in 2-3 drevo. Implementacije so bile testirane s pomočjo sistema za evalvacijo algoritmov in podatkovnih struktur ALGator. Iz rezultatov testiranja podatkovnih struktur, tako pri striktno naraščajočih, kot tudi naključnih posodobitvah in poizvedbah, je razvidno, da je časovna zahtevnost enaka pričakovani.

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2. predavanje:
============

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PREDAVATELJ: Dani ZUGAN
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Dani Zugan je študent prvega letnika magistrskega programa Računalništva in informatike na UP FAMNIT.

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NASLOV: Vrednotenje algoritmov za iskanje najkrajših poti v omrežju
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POVZETEK:

V članku so ovrednoteni trije različni algoritmi za izračun paroma najkrajših poti v grafu. Primerjamo znani Floyd-Warshallov algoritem z dvema preprostima modifikacijama. Ključna razlika je v tem, da so relaksacije izvedene na pametnejši način. Algoritme ovrednotimo na treh različnih modelih grafov - uniformnem Erdős-Rényijevem, binomskem Erdős-Rényijevem in Albert-Barabásijevem. Na podlagi rezultatov lahko ugotovimo, da sta oba spremenjena modificirana algoritma boljša od algoritma Floyd-Warshall.

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Seminar bo potekal v slovenskem jeziku, tokrat na daljavo prek Zoom-a
(https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09)

Vabljeni!

sreda, 13. september 2023 Robert Scheffler: Optimal Bicycle Routes with Few Signal Stops

Tokrat izjemoma v četrtek, 14. septembra 2023, bo ob 14.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 14. september 2023 ob 14.00 v FAMNIT-MP6.

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PREDAVATELJ: Robert SCHEFFLER
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Robert Scheffler studied computer science and received his master's degree in 2017. This year he made his PhD with his thesis about vertex and edge orderings of graphs. Currently, he is a Postdoc at the Chair of Discrete Mathematics and Foundations of Computer Science at Brandenburg University of Technology in Cottbus, Germany.

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NASLOV: Optimal Bicycle Routes with Few Signal Stops
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POVZETEK:

With the increasing popularity of cycling as a mode of transportation, there is a growing need for efficient routing algorithms that consider the specific requirements of cyclists. We study the optimization of bicycle routes while minimizing the number of stops at traffic signals. In particular, we consider three different types of stopping strategies and three types of routes, namely paths, trails, and walks. We present hardness results as well as a pseudo-polynomial algorithm for the problem of computing an optimal route with respect to a pre-defined stop bound.

Seminar bo potekal v angleškem jeziku v predavalnici FAMNIT-MP6 s pričetkom ob 14:00 uri.

Vabljeni

ponedeljek, 11. september 2023 Domen VAKE: Pseudo-Random Algorithm for Sending Messages in Decentralized Networks

V ponedeljek, 11. september 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 11. avgust 2023 ob 16.00 na daljavo prek ZOOM-a
(https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09)

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PREDAVATELJ: Domen VAKE
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Domen Vake is a second-year PhD student at UP FAMNIT under mentorship of assoc. prof. Branko Kavšek and assoc. prof Jernej Vičič.  His research interests include blockchain technologies and machine learning combining them in research of sensor network data.

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NASLOV: Pseudo-Random Algorithm for Sending Messages in Decentralized Networks
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POVZETEK:

We present an algorithm for the dissemination of messages in fully decentralized networks. The motivation for research comes from the field of blockchain technology and the development of decentralized network protocols. One of the key goals of such systems is an effective spread of data through the network. The goal of good algorithms is to get every message received as soon as possible. The presented algorithm works on the principle of pseudorandomness for determining the message path from the originator of the message to every node in the network. The proposed algorithm pseudorandomly generates a path for the message through the network. Upon receiving the message, each node is able to reproduce the same path and continue the propagation of the message. The algorithm implements a by-layer checking on the successful dissemination of the message, which sharply raises the fault tolerance of the algorithm.
 

Seminar bo potekal v slovenskem jeziku, tokrat na daljavo prek Zoom-a
(https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09)

Vabljeni!      

petek, 18. avgust 2023 Matevž MAK: Sodobne tehnologije in arhitektura za implementacijo prototipa

V ponedeljek, 21. avgusta 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 21. avgust 2023 ob 16.00 na daljavo prek ZOOM-a
(https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09)

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PREDAVATELJ: Matevž MAK
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Matevž Mak je študent 2. letnika magistrskega študijskega programa 2. stopnje Računalništvo in informatika na UP FAMNIT. Temo bo predstavil v okviru raziskovalnega seminarja, ki ga je izdelal pod mentorstvom prof. Matjaža Kljuna.

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NASLOV: Sodobne tehnologije in arhitektura za implementacijo prototipa
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POVZETEK:

V moji predstavitvi se bomo poglobili v sodobne tehnologije, ki so ključne pri razvoju prototipov spletnih aplikacij ter osnovah oblikovanja arhitekture projekta. Osredotočili se bomo na tehnološko zbirko MEAN (MongoDB, Express, Angular in Node.JS), pri čemer bomo raziskali prednosti vsake posamezne tehnologije. Pregledali bomo tudi, kako efektivno uporabljati GitHub submodule ter njihovo vlogo v razvoju. Prikazali bomo, kako integrirati aplikacijo z Docker containerji in kako izvesti obremenitvene teste z uporabo knjižnice k6. Za konec pa se bomo posvetili vzpostavitvi replikacijskega sistema za MongoDB z uporabo clustrov in shardov, implementiranih preko Docker containerjev.

Seminar bo potekal v slovenskem jeziku, tokrat na daljavo prek Zoom-a
(https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09)

Vabljeni!      

sreda, 26. julij 2023 Gregor GRBEC: Ranking Football Players Using Multilevel Modeling

V ponedeljek, 31. julija 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 31. julij 2023 ob 16.00 na daljavo prek ZOOM-a
(https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09)

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PREDAVATELJ: Gregor GRBEC
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Gregor Grbec is a student who started his studies in Bioinformatics at UP FAMNIT. After graduation in 2020, he decided to pursue a master's degree in Data Science at the same faculty. His lifelong interest in football inspired him to do research on who is the best football player – one of the most frequently asked questions in football.

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NASLOV: Ranking Football Players Using Multilevel Modeling
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POVZETEK:

While football is a team sport, the question of who is the best football player is one of the most frequently asked in the footballing world. Attackers like Pele, Maradona, Cristiano Ronaldo and Lionel Messi are often mentioned as the best of all time, while players of other positions are mentioned significantly less. We believe that players of all positions are important, which is why we wanted to provide a data-backed answer to this question using advanced mathematical models that can incorporate players of all positions on a single list. Our two main objectives were to extract an individual's performance from the team's performance and to eliminate any bias that comes from the player's position. We used multilevel modeling which allowed us to control for player's team strength with data collected for all players of the top 20 clubs from the top 5 leagues from this century. The results were surprising, as Messi and Ronaldo, often believed to be two of the best of all time, ranked lower than expected.
 

Seminar bo potekal v angleškem jeziku, tokrat na daljavo prek Zoom-a
(https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09)

Vabljeni!      

ponedeljek, 24. julij 2023 Marina PALDAUF: Decentralised Solutions for Preserving Privacy in Group Recommender Systems

V ponedeljek, 24. julija 2023, bo ob 17.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 24. julij 2023 ob 17.00 na daljavo prek ZOOM-a
(https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09)

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PREDAVATELJICA: Marina PALDAUF
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Marina Paldauf is a PhD student in Computer Science in the fields of recommender systems, machine learning and distributed systems and a teaching assistant at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies. She is also a researcher at the HICUP Lab and a Department of Information Sciences and Technologies member.

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NASLOV: Decentralised Solutions for Preserving Privacy in Group Recommender Systems
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POVZETEK:

Group Recommender Systems (GRS) combine large amounts of data from various user behaviour signals (likes, views, purchases) and contextual information to provide groups of users with accurate suggestions (e.g. rating prediction, rankings). To handle those large amounts of data, GRS can be extended to use distributed processing and storage solutions (e.g. MapReduce-like algorithms and NoSQL databases). As such, privacy has always been a core issue since most recommendation algorithms rely on user behaviour signals and contextual information that may contain sensitive information. However, existing work in this domain mostly distributes data processing tasks without addressing privacy, and the solutions that address privacy for GRS (e.g. k-anonymisation and local differential privacy) remain centralised. In this paper, we identify and analyse privacy concerns in GRS and provide guidelines on how decentralised techniques can be used to address them.

Seminar bo potekal v angleškem jeziku, tokrat na daljavo prek Zoom-a s pričetkom ob 17:00 uri
(https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09)

Vabljeni!      

petek, 14. julij 2023 Aleksandar AVDALOVIĆ: Translation of random forests to loop-free imperative programs for the purpose of formal verification

V ponedeljek, 17. julija 2023, bo ob 17.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 17. julij 2023 ob 17.00 na daljavo prek ZOOM-a
(https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09)

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PREDAVATELJ: Aleksandar AVDALOVIĆ
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Aleksandar Avdalović is a second-year student of the master's program Data Science at UP FAMNIT. He will be presenting his Master’s thesis topic that he is completing under the supervision of Prof. Mário Alberto Zenha-Rela and Prof. Raul Barbosa from University of Coimbra and co-supervision of Prof. Marko Tkalčič from UP FAMNIT.

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NASLOV: Translation of random forests to loop-free imperative programs for the purpose of formal verification
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POVZETEK:

Throughout the years of society's digitalisation and transformation, the ethics of AI/ML-dependent critical systems have been continually questioned. In the use of such systems, accuracy may not be a valid metric because machine errors can lead to devastating consequences, including the loss of human life. This thesis takes a narrow approach to the aforementioned problem, namely the formal verification of the incredibly effective and widespread supervised learning method of today, random forest. Using the first-order logic statements and algorithm developed in this study, we intend to determine if the model has acquired factually-grounded prior knowledge. In other words, we wish to confirm that the model is reliable in light of prior knowledge. The translation of the random forest algorithm into a loop-free imperative program for verification purposes provides a technical challenge for this task. The core of the thesis is the algorithm provided in response to the research question of whether an algorithm for described translation exists. We shall construct the algorithm and ensure its correctness by rigorously testing it with various datasets, including those later used for verification and artificially generated datasets with different shapes and numbers of classes. Additionally, we will evaluate its efficiency and demonstrate its application on three datasets (one dataset from Cardiology and two datasets from Rheumatology). Another research problem will be practical, examining if the model has acquired particular prior knowledge in the fields of Cardiology and Rheumatology given the data. Results demonstrate that such an algorithm can be created and is highly efficient and that it can be applied realistically in the health sector to validate ML models based on the random forest algorithm.
 

Seminar bo potekal v angleškem jeziku, tokrat na daljavo prek Zoom-a
(https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09)

Vabljeni!

ponedeljek, 10. julij 2023 Nuwan ATTYGALLE: Breaking Barriers in Gesture Recognition: Enhancing Accuracy through Material-Aware Training

V ponedeljek, 10. julija 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 10. julij 2023 ob 16.00 v FAMNIT-VP2.

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PREDAVATELJ: Nuwan ATTYGALLE
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Nuwan Attygalle is a PhD student at UP FAMNIT with a research focus at the intersection of signal processing, HCI, and machine learning. His interests lie in exploring innovative applications and solutions in these fields. Nuwan has also served as a visiting researcher at the COIN lab at the University of Luxembourg, further expanding his knowledge and expertise in his research areas.

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NASLOV: Breaking Barriers in Gesture Recognition: Enhancing Accuracy through Material-Aware Training
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POVZETEK:

Human-computer interaction is undergoing a transformative shift, moving away from traditional interfaces (screen, keyboard and mouse) and towards more intuitive and natural interaction methods. Gesture recognition plays a crucial role in this paradigm shift, enabling participants to interact with digital devices using natural hand movements and gestures. Leveraging millimetre-wave (mmWave) radar signals that penetrate materials and are immune to environmental conditions, gesture recognition can be achieved even when devices are concealed or embedded within objects. However, the impact of everyday materials on gesture recognition accuracy remains inadequately investigated. This paper investigates whether training a machine learning model with gestures sensed through materials improves overall classification accuracy. We also explore to what extent this improvement occurs and how to achieve comparable accuracy with a model trained using fewer materials. Our findings shed light on the influence of materials on gesture recognition and provide insights into optimizing training processes for enhanced performance in real-world applications.

Seminar bo potekal v angleškem jeziku v predavalnici FAMNIT-VP2.

Vabljeni!      

nedelja, 25. junij 2023 Daniil BALDOUSKI: Managing and Optimizing Container Flow in Port Logistics

Jutri, v ponedeljek, 26. junija 2023, bo ob 16.00 uri izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 26. junij 2023 ob 16.00 v FAMNIT-VP1.

--------------------------------------------
PREDAVATELJ: Daniil BALDOUSKI
--------------------------------------------

Daniil Baldouski is a first-year PhD student of Computer Science at UP FAMNIT.

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NASLOV: Managing and Optimizing Container Flow in Port Logistics
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POVZETEK: 

Efficient container management is pivotal to port logistics. In this seminar I will talk about integer linear programming and explain a method for optimizing truck scheduling within a port, using a mathematical model that facilitates concurrent tasks under specific constraints and capacity limitations. The model's efficiency will be showcased on simulated instances.

Seminar bo potekal v angleškem jeziku v predavalnici FAMNIT-VP1.

Vabljeni!

ponedeljek, 19. junij 2023 Daan LE ROUX: Digital Distraction, Online Vigilance and the Goldfish Hypothesis: Making sense of the impacts of technology on attention

V ponedeljek, 19. junija 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 19. junij 2023 ob 16.00 v FAMNIT-VP2.

----------------------------------------
PREDAVATELJ: Daan LE ROUX
----------------------------------------

Dr. Daan le Roux heads up the Cognition and Technology Research Group at Stellenbosch University in South Africa. He studies various dimensions of the interaction between humans and technology with emphasis on the cognitive and behavioural processes by which humans, both individually and collectively, adopt and adapt to technologies, and how this impacts their performance and well-being. His research is interdisciplinary in nature and has been published in outlets across various domains including Information Systems, Psychology, Business Management and Education.

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NASLOV: Digital Distraction, Online Vigilance and the Goldfish Hypothesis: Making sense of the impacts of technology on attention
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

POVZETEK:

Over the past two decades we have experienced the emergence of a media ecology characterized by the omnipresence of mobile computing devices that offer a rapidly expanding range of gratifying online experiences. As smartphone use volumes have steadily increased, online platforms have proliferated, creating an increasingly competitive attention economy. A growing body of both popular and academic literature have raised concerns over the potential impacts of these developments for human wellbeing. One area which has received substantial attention concerns the effects that permanent online connectedness and constant media multitasking may have on cognitive control – i.e., our capacity to direct and sustain attention. Specifically, some studies have suggested that our behavior with technology may lead to the shortening of our attention spans. In this talk the state of empirical evidence in this domain is systematically reviewed with reference to recent studies of both the short and long-term effects of digital technology use on cognitive control.

Seminar bo potekal v angleškem jeziku v predavalnici FAMNIT-VP2.

Vabljeni!      

ponedeljek, 12. junij 2023 Nedim Šišić: Class Probability Distributions of a Neural Network Classifier of Multiple Sclerosis Lesions on Quantitative Susceptibility Mapping

V ponedeljek, 12. junija 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 12. junij 2023 ob 16.00 v FAMNIT-VP2.

-------------------------------------
PREDAVATELJ: Nedim ŠIŠIĆ
-------------------------------------

Nedim Šišić is a 1st year PhD student of Computer Science at UP FAMNIT. He finished his master's studies in Computer Science at UP FAMNIT, and is now a teaching assistant at various computer science courses.

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NASLOV: Class Probability Distributions of a Neural Network Classifier of Multiple Sclerosis Lesions on Quantitative Susceptibility Mapping
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POVZETEK:

Multiple sclerosis (MS) is a demyelinating disease, in which the insulating myelin covers of nerve cells are damaged. Remyelination is a repair process that forms new myelin sheaths. MS lesion types are heterogeneous regarding myelin damage and repair and iron content, and may be classified histopathologically. Recently, quantitative susceptibility mapping (QSM) MRI has been shown to classify white matter MS lesions into demyelinated and remyelinated types in vivo. Furthermore, a neural network model demonstrates potential for automatic classification of such lesions into the types based on QSM. However, the model requires further classification accuracy increase and faces the problem of handling lesions unable to be classified by medical experts. The problem represents a significant hurdle for the potential use of the model in clinical scenarios. In this work, the class probability distributions of the model on different remyelinated, demyelinated, and unclassified lesion types are analyzed, to better understand its performance and estimate its behavior on unclassified lesions. The obtained results are important for improving the model and enabling its transition into medical practice.

Seminar bo potekal v angleškem jeziku v predavalnici FAMNIT-VP2.

Vabljeni! 

ponedeljek, 5. junij 2023 Nikolaus AUGSTEN: Data Management Meets Process Mining - Scaling Trace Clustering to Large Data

Tokrat izjemoma v sredo, 7. junija 2023, bo ob 14.30 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 7. junij 2023 ob 14.30 v FAMNIT-VP3.

----------------------------------------------
PREDAVATELJ: Nikolaus AUGSTEN
----------------------------------------------

Nikolaus Augsten is a full professor in computer science at the University of Salzburg, where he heads the Database Group. He received his PhD from Aalborg University, Denmark, in 2008. His research deals with all aspects of data management. The focus is on queries over complex objects and massive data collections, data cleaning and integration, indexing techniques, query processing and optimization, distributed data management, and numerical computations in databases. His research is triggered by problems that arise in concrete applications, for example, process mining, digital humanities, or cognitive neuroscience. The results of his research have been published in the most prestigious outlets of the database field; for his work on top-k queries over tree data he received the ICDE 2010 Best Paper Award. He has served as a PC member or referee for all major database conferences and as an associate editor of the VLDB Journal.

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NASLOV: Data Management Meets Process Mining - Scaling Trace Clustering to Large Data
---------------------------------------------------------------------------------------------------------------------------

POVZETEK:

With the broad adoption of process mining techniques in industry, process mining tools now face massive data volumes with process logs that can store hundreds of millions of activities. Process mining queries often require fast response times since the user interacts with a dashboard to gain business insights. To analyze business processes, the so-called traces of the processes are inspected. A trace is a sequence of activities observed in the process log. To facilitate the analysis, similar traces should be grouped into clusters using the well-known DBSCAN algorithm. Unfortunately, current trace clustering approaches do not scale to large collections of traces, neither in terms of runtime nor in terms of memory usage.
We present two novel techniques that solve the scalability issue of the trace clustering problem. (1) TwoL is a new, highly effective similarity index for traces. Compared to previous techniques, TwoL optimizes a cost function to gracefully adapt to different data distributions. (2) Spread is the first linear-space DBSCAN algorithm that can process data points in any user-defined order. This is required to leverage the full potential of trace indices. Previous approaches must precompute and materialize all neighborhoods of the data points, which requires quadratic space. With respect to the state of the art in trace clustering, our techniques reduce the memory complexity and achieve speedups of more than an order of magnitude.

Seminar bo potekal v angleškem jeziku s pričetkom ob 14:30 v predavalnici FAMNIT-VP3.

Vabljeni!      

petek, 2. junij 2023 Matija BIROV, Jan KANDUČ, Mojca BELAC: Risk Management at Intesa Sanpaolo Bank

V ponedeljek, 5. junija 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 5. junij 2023 ob 16.00 v predavalnici FAMNIT-VP2

--------------------------------------
PREDAVATELJI: Matija BIROV, Jan KANDUČ, Mojca BELAC
--------------------------------------

The presentation will be held by Matija Birov, Chief Risk Officer, Jan Kanduč, Director of Risk Management, and Mojca Belac, Head of Credit Risk Monitoring, Controls and Validation

----------------------------------------------------------------------------------------------
NASLOV: Risk Management at Intesa Sanpaolo Bank
----------------------------------------------------------------------------------------------

POVZETEK:

What is risk management and how does it fit into the commercial banking business? What kind of tools and skills are needed for efficient risk management? What kind of knowledge and expertise are required for development of risk measurement systems? How much do banks rely on statistical analysis for day-to-day operations? Are the business decisions driven only by future profits or is there more to the story? Are the risk parameters (probability of default, loss given default, exposure at default) the only true indicators of your credit worthiness when applying for a loan?

These and many more questions related to the banking world will be discussed at the presentation.

Seminar bo potekal v živo v angleškem jeziku.

Vabljeni! 

petek, 26. maj 2023 Arsen Matej GOLUBOVIKJ: Longitudinal Study of Preferences and Behaviour Changes in Music Streaming

V ponedeljek, 29. maja 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 29. maj 2023 ob 16.00 v FAMNIT-VP2.

------------------------------------------------------
PREDAVATELJ: Arsen Matej GOLUBOVIKJ
------------------------------------------------------

Arsen Matej Golubovikj is a 1st year PhD student of Computer Science at UP FAMNIT. He finished his master's studies in Data Science at UP FAMNIT, and is now exploring topics related to Recommender Systems and User Modeling.

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NASLOV: Longitudinal Study of Preferences and Behaviour Changes in Music Streaming
-----------------------------------------------------------------------------------------------------------------------

POVZETEK:

The majority of research in recommender systems, being it algorithmic improvements, context-awareness, explainability, or other areas, evaluate their systems on datasets that capture the user interaction with the system in a relatively limited time span. However, recommender systems have been around for more than two decades and the way user behave might have changed through time. Although there is a wide body of research in media studies and psychology on how user preferences and behaviour change through time (especially as users age) there has been very little work done in the domain of recommender systems. In this work we explore how user preferences and behaviour change through time on a well-known dataset of LastFM users, the LFM-2B dataset. To the best of our knowledge, this is the only dataset that covers a long-enough time span (to allow longitudinal studies) and has age information about its users. Beside performing a descriptive analysis of preferences and behaviour changes we also inspect whether there are differences between generations of users. The results show important insights that can pave the way for a new line of research in recommender systems and informs future work.

Seminar bo potekal v angleškem jeziku v predavalnici FAMNIT-VP2.

Vabljeni!      

ponedeljek, 22. maj 2023 Nuno LARANJEIRO: Software Dependability Research at the University of Coimbra & Naghmeh IVAKI: Verification and Validation of U-space Services

V ponedeljek, 22. maja 2023, bosta ob 15.00 uri izvedeni dve
predavanji v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 22. maj 2023 ob 15.00 v predavalnici FAMNIT-VP2

POZOR: Seminar se prične ob 15:00 !!!

=============================================================================================================

1. predavanje:

---------------------------------------------
PREDAVATELJ: Nuno LARANJEIRO
---------------------------------------------

Nuno Laranjeiro received the PhD degree from the University of Coimbra, Portugal, where he currently is an Assistant Professor. His research focuses on dependable and secure software services and he currently leads the Software and Systems Engineering (SSE) group at the Centre for Informatics and Systems of the University of Coimbra (CISUC). His research interests include experimental dependability evaluation, fault injection, robustness of software and web services, web services interoperability, and software security. He is currently mostly involved in developing new techniques towards more reliable and secure cloud systems and microservices, in developing techniques for evaluating the reliability and security of blockchain smart contracts, and using machine learning techniques for software fault and vulnerability detection and characterization. He has contributed, as an author, reviewer and program committee member, to leading conferences and journals in the dependability and services computing areas. Nuno has been involved in the organisation of several international events, including several editions of the International Symposium on Software Reliability Engineering (ISSRE) and also the Dependable and Secure Services Workshop/Track (as main chair) jointly organised with the IEEE World Congress on Services. He participated in international research projects, including several H2020 projects (e.g., ADVANCE, DEVASSES, ATMOSPHERE, EUBrasilCloudFORUM) and FP7 projects (CRITICAL STEP, CECRIS).

-------------------------------------------------------------------------------------------------
NASLOV: Software Dependability Research at the University of Coimbra
-------------------------------------------------------------------------------------------------

POVZETEK:

The Software and Systems Engineering (SSE) group at the Centre for Informatics and Systems of the University of Coimbra (CISUC) develops disruptive research on different facets of software and systems engineering, with particular focus on dependability and security aspects. Internationally recognized contributions of SSE include new experimental approaches for dependability, resilience and security evaluation and benchmarking, including fault injection, robustness testing, vulnerability & attack injection and vulnerability detection methods. This talk overviews the SSE group research activities and discusses a fault injection case study.

=============================================================================================================

2. predavanje:

----------------------------------------------
PREDAVATELJICA: Naghmeh IVAKI
----------------------------------------------

Naghmeh Ivaki received the PhD degree from the University of Coimbra, Portugal. Currently, she is an assistant professor and a full member of Software and Systems Engineering Group (SSE) of the Center for Informatics and Systems (CISUC), Department of Informatics Engineering, University of Coimbra. She specializes in the scientific field of Informatics Engineering, with particular focus on trustworthiness, security, safety, and dependability of computer systems. In her field of specialization, she has authored about 40 peer-reviewed publications and participated in 11 national and inernational research projects.

----------------------------------------------------------------------------
NASLOV: Verification and Validation of U-space Services
----------------------------------------------------------------------------

POVZETEK:

Unmanned Aerial Vehicles (UAVs or UAS) have gained notable importance in civil airspace. To ensure their safe operation (in particular, in urban area), U-space services are being defined in Europe. U-space is a set of services that rely on a high level of digitalization and automation of functions. These services are either on board of the UAVs or are part of the ground controllers, allowing the safe and efficient operation of a large number of UAS (especially, but not only, in urban VLL (very low level)). The main safety pillar of U-space services is conflict management in both strategic and tactical levels, aiming to limit the risk of collision between UAVs and hazards to an agreed level deemed acceptable. However, the target level of safety (TLS) can be threatened by many factors like failures in UAVs (or its components and sensores like GPS), and U-space functioning and communications (e.g., can be caused by hardware failure, software failures, network failures, or security attacks), or even failures due to non-deterministic behavior of AI-based components used in these systems. Our research team aims at building a verification and validation (V&V) platform, allowing the safety assessment of UAVs and U-space services under the aforementioned conditions. By providing such V&V platform for safety assessment, we aim to ensure that the target level of safety is met and maintained.

=============================================================================================================

Obe predavanji bosta v angleškem jeziku.

Vabljeni!

četrtek, 18. maj 2023 Egon BENČIČ: Predstavitev podjetja PROJEKT IP in možnosti štipendiranja

V ponedeljek, 22. maja 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 22. maj 2023 ob 16.00 v predavalnici FAMNIT-VP2

--------------------------------------
PREDAVATELJ: Egon BENČIČ
--------------------------------------

Podjetje PROJEKT IP d.o.o. bo na seminarju predstavil Egon Benčič, ustanovitelj podjetja.

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NASLOV: Predstavitev podjetja PROJEKT IP in možnosti štipendiranja
----------------------------------------------------------------------------------------------

POVZETEK:

Podjetje PROJEKT IP d.o.o. ponuja IKT storitve manjšim, srednjim, velikim podjetjem in državni upravi na območju celotne Slovenije. Področje delovanja so sčasoma razširili na vse države bivše Jugoslavije in v države Evropske Unije. Njihova glavna usmeritev je nudenje podpore na področju informacijsko-komunikacijskih procesov, kjer pokrivajo vsa področja povezana z uporabo komunikacijskih tehnologij. Strankam pomagajo njihove želje in ideje izpeljati vse od začetne zasnove do uspešne končne izvedbe. Pri rešitvah stremijo k zanesljivosti, stabilnosti in dolgi življenjski dobi vzpostavljenih sistemov. Zelo pomembno jim je, da stranka dobi rešitev na ključ, ki presega njena pričakovanja. Trudijo se, da njihove rešitve pomenijo dodano vrednost, olajšajo poslovne procese in posledično tudi omogočijo prihranke. Na dolgi rok želijo postati najbolj prepoznavno podjetje na področju telekomunikacij v regiji.
Na seminarju bodo študenti podrobneje spoznali dejavnost podjetja in možnosti sodelovanja (študijska praksa, raziskovalne naloge, projekti ...). Ker je Projekt IP d.o.o. tudi štipenditor v okviru Štipendijskega sklada Univerza na Primorskem, bodo študenti na srečanju izvedeli tudi glede možnosti prejetja štipendije v naslednjem študijskem letu!

Več v vabilu.

Seminar bo potekal v slovenskem jeziku.

Vabljeni!      

petek, 12. maj 2023 Maja DUNDOVIĆ: Automation of modular, multipurpose mechatronic system for mechanical experimental testing using MATLAB®

V ponedeljek, 15. maja 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 15. maj 2023 ob 16.00 na daljavo prek ZOOM-a
(https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09)

-------------------------------------------------
PREDAVATELJICA: Maja DUNDOVIĆ
-------------------------------------------------

Maja Dundović, mag. ing. mech., obtained her MSc in Mechanical Engineering at the Faculty of Engineering of the University of Rijeka in 2011. She is currently employed as an assistant and pursuing her PhD in Mechanical Engineering at the same institution. Her teaching duties cover exercises in undergraduate and graduate courses in the fields of Engineering Graphics, Machine Elements, and Robot Elements. Her scientific research interest areas are in the field of Compliant Mechanisms, Material Behaviour Testing and Modelling.

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NASLOV: Automation of modular, multipurpose mechatronic system for mechanical experimental testing using MATLAB®
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POVZETEK:

In this presentation, we'll focus on the work that was done in cooperation with the Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, as a part of the scientific training that is mandatory for PhD students at the University of Rijeka. First, we'll introduce compliant mechanisms, design of the mechatronic system setup for mechanical testing, and in a higher level of detail present a computer vision procedure for testing automation using MATLAB. As part of this, a pure bending test setup will be shown and test results discussed. The presentation will be concluded with a brief overview of the Faculty of Engineering, University of Rijeka, and with a discussion on the areas for possible future scientific collaboration, together with opportunities for student and staff mobility.
 

Seminar bo potekal v angleškem jeziku, tokrat na daljavo prek Zoom-a
(https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09)

Vabljeni!      

petek, 14. april 2023 Elham Motamedi: User and Item Modeling Using Eudaimonic and Hedonic Characteristics for Recommender Systems

V ponedeljek, 17. aprila 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 17. april 2023 ob 16.00 v FAMNIT-VP2 in na daljavo prek ZOOM-a (https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09)

-------------------------------------------------
PREDAVATELJICA: Elham MOTAMEDI
-------------------------------------------------

Elham Motamedi is a PhD student in Computer Science in the fields of recommender systems, machine learning and complex networks and a teaching assistant at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies. She is also a researcher at the HICUP Lab and member of the Department on Information Sciences and Technologies. Before enrolling into PhD studies, she obtained a Master's degree in networked systems from the University of Tehran in Iran.

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NASLOV: User and Item Modeling Using Eudaimonic and Hedonic Characteristics for Recommender Systems
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POVZETEK:

In her PhD thesis, the presenter aims to leverage eudaimonic and hedonic characteristics to model users and items. Furthermore, she plans to investigate whether these models can be used to improve the recommendations, particularly in movie recommendation systems. During her presentation, she will outline the motivations behind her research, review relevant literature, identify gaps in current research, and present an overview of the structure of her PhD thesis.

Predavateljica bo na seminarju predstavila dispozicijo svoje doktorske disertacije, ki jo opravlja pod mentorstvom izr. prof. Marka Tkalčiča.

Seminar bo potekal v angleškem jeziku, tokrat v hibridni izvedbi v FAMNIT-VP2 ter na daljavo prek Zoom-a (https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09)!!!

Vabljeni!      

petek, 17. marec 2023 Cuauhtli Campos: Designing Interactive Paper Display by Interlacing Physical and Digital Content Using Horizontal Touchscreens

V ponedeljek, 20. marca 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 20. marec 2023 ob 16.00 v FAMNIT-VP2

---------------------------------------------
PREDAVATELJ: Cuauhtli CAMPOS
---------------------------------------------

Cuauhtli Campos is a PhD student in Computer Science in the field of Human-Computer Interaction at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies and an assistant researcher at the InnoRenew CoE within the Wood Modification Group. His doctoral work is at the intersection of interactive paper technologies, immersive and playful reading experiences and augmented reality.

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NASLOV: Designing Interactive Paper Display by Interlacing Physical and Digital Content Using Horizontal Touchscreens
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POVZETEK:

Ubiquitous nature, versatility, and durability enabled the paper to maintain its importance in the digital age. It is not surprising there have been numerous attempts to combine paper with digital content. Despite this, several shortcomings persist, for example: these systems still demand users to handle or wear hardware (e.g. smartphones, HMDs) especially problematic when augmenting an activity that primarily happens on the paper (e.g. augmenting reading without disrupting the reading experience per se) or when users are expected to interact with paper for a longer period of time, such as when studying. Furthermore, these applications still require elaborated setups of hardware around the user (e.g. complex projector placement), which can also occlude the augmentation preventing the system from functioning as intended. One way to overcome these limitations is to place the screen emitting digital content and supporting interactivity (e.g. tablet computer or a tabletop display) beneath the paper. The paper thus becomes ``the screen'' on which the additional content is viewed whilst the interactivity is supported using the sensing capabilities of the underlying display. However, in such setups, the paper also acts as a barrier through which light and sensing signal need to pass degrading the quality of the displayed image and input sensing capabilities. This creates an interesting area for further investigation on the characterization of light transmittance through paper and on the exploration of methods to alter such optical properties. For example, could this be done through paper perforation or the addition of commonly available paper inks? Furthermore, no research explores how the presentation of digital content could be used to improve the perceived quality of imagery when viewed through paper. For example, could the movement of digital content such as text improve its resolution of it and make it more readable? On the other hand, no research explored how the conductivity of paper would affect the touch and stylus interaction as the paper is placed on top of a touch screen surface and how to overcome such interference The goal of this thesis is to contribute to the aforementioned gaps in knowledge through the characterisation of paper and ink properties and exploration of methods that could be used to improve interactivity and perceived quality of displayed imagery. All this will lead us to the overreaching goal of designing, constructing, and evaluating a novel Interactive Paper Display in which the light source is placed beneath the paper.

Predavatelj bo na seminarju predstavil dispozicijo svoje doktorske disertacije, ki jo opravlja pod mentorstvom izr. prof. Klena Čopiča-Puciharja in somentorstvom izr. prof. Matjaža Kljuna.

Seminar bo potekal v angleškem jeziku, tokrat v živo v FAMNIT-VP2 !!!

Vabljeni!      

sobota, 11. marec 2023 Masayukija Kanbara in Taishi Sawabe - Nara Institute of Science and Technology, Japan

V ponedeljek 13. marca 2023, ob 16.00 uri v VP1 (UP FAMNIT), bo Hicup-lab gostoval profesorje z laboratorija za oblikovanje interaktivnih medijev z Inštituta za znanost in tehnologijo - Nara, iz Japonske. V sklopu ponedeljkovega seminarja bosta predstavila svoje področje izr. prof. Masayukija Kanbara in doc. Taishi Sawabe, prisoten pa bo tudi direktor laboratorija (IMBD) Hirokazu Kato. 

ČAS/PROSTOR: 13. 3. 2023, 16.00, VP1 (UP FAMNIT)

----------------------------------------------
PREDAVATELJ: Masayuki Kanbara
----------------------------------------------

Dr. Masayuki Kanbara received a Ph.D. degree in engineering from Nara Institute of Science and Technology (NAIST) in 2002. He was an assistant professor at the Information Science Department at NAIST since 2002 and a visiting researcher at University of California, Santa Barbara in 2008-2009. He has been an associate professor at NAIST since 2010. Fields of research are focused on augmented reality, computer vision and Human-Robot Interaction.

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NASLOV: Gentle Stroke with Speech by Robot for Infusing Positive Emotion
----------------------------------------------

POVZETEK:

It has been demonstrated that the action of “stroking” has a relaxing effect on the body and mind. However, while some studies have shown the importance of “Gentle stroke with speech,” it has not been clarified how human actually perform the “Gentle stroke with speech” behavior. In this study, we analyzed the “Gentle stroke with speech” behavior with the aim of modeling the “talking and stroking behavior” in a situation in which a person is caring for another person.

----------------------------------------------
PREDAVATELJ: Taishi Sawabe
----------------------------------------------

He received his B.E. adviser, Prof. Ma, from Ritsumeikan University in the field of biomimetics robots. He received a Ph.D. from Adviser Prof. Hagita at the Ambient Intelligence Laboratory at NAIST. His research interest is Biomimetics robots, Human-Robot Interaction (HRI), Human Comfort, and Autonomous Vehicles. Mini projects: TSUNDERE-Interaction, VR Live Agent-Interaction.

----------------------------------------------
NASLOV: Comfort Intelligence for Autonomous Vehicles
----------------------------------------------

POVZETEK:

In this presentation, I will introduce an intelligence system that considers passengers’ comfort inside moving autonomous vehicles, which is called Comfort Intelligence (CI). In the research, anxiety reduction is mainly targeted. Anxiety comes from a variety of stress factors. In the field of vehicles, I defined stress in autonomous vehicles as Autonomous Vehicle Stress (AVS) to estimate, classify and consider reduction methods for reducing anxiety in autonomous vehicles. Moreover, anxiety is not only about stress but also has to consider motion sickness, called Autonomous Vehicle Motion Sickness (AVMS) which is mixed with car sickness and VR sickness in the future autonomous vehicle environment. Therefore, this study explains the importance of considering comfort intelligence (CI) by looking at previous research on anxiety, as well as discussing stress and motion sickness perspectives.

Vabljeni!

petek, 17. februar 2023 Giovanni Maria Angeletti: Replication in MongoDB

V ponedeljek, 20. februarja 2023, bo ob 16.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 20. februar 2023 ob 16.00 v FAMNIT-VP2

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PREDAVATELJ: Giovanni Maria ANGELETTI
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Giovanni Maria Angeletti is an Erasmus student from Italy (Modena) with a Mathematical background as he graduated in Maths in bachelor (in Camerino). For his Master degree he was searching something almost new to a “young” Mathematician and he found it in a Data Science study program. With the Erasmus at the UP FAMNIT he had the possibility to go deeper in some topics of interest, learning for example the Database management systems world, from which he had the idea to elaborate this seminar.

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NASLOV: Replication in MongoDB
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POVZETEK:

I will present my research paper that first gives a general overview about what data replication is and how it works in DBMSs, then the focus will be on how replication is performed in MongoDB.

Seminar bo potekal v angleškem jeziku, tokrat v živo v FAMNIT-VP2 !!!

Vabljeni!      

nedelja, 15. januar 2023 Jamolbek MATTIEV: Word Game Modeling using Character-level N-grams and Statistics