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

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torek, 20. avgust 2024 Niki HROVATIN: Wireless Sensor Networks Today: Trends and Technologies

Tokrat izjemoma v sredo, 21. avgusta 2024, bo ob 10.00 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 2024 ob 10.00 na daljavo prek Zoom-a.

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PREDAVATELJ: Niki HROVATIN
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Niki Hrovatin is a Computer Science PhD, currently a Teaching Assistant at University of Primorska, and a Research Assistant at InnoRenew CoE, Izola, Slovenija. His current research interests include sensor networks, machine learning, distributed systems, and blockchain.

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NASLOV: Wireless Sensor Networks Today: Trends and Technologies
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POVZETEK:

This presentation provides an overview of Wireless Sensor Networks (WSNs), focusing on their core components, operational challenges, and recent advancements. It covers key trends and technologies shaping the future of WSNs, including energy management, routing, and communication protocols.

Seminar bo potekal v angleškem jeziku prek Zoom-a ob 10:00 uri na sledeči povezavi:
https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Naš gost na Ponedeljkovem seminarju računalništva in informatike bo jutrišnje predavanje izvedel kot svoje Preizkusno predavanje pri izvolitvi v pedagoški naziv.

Vabljeni.


ponedeljek, 19. avgust 2024 Domen Vake: Predictive Modeling of Indoor Occupancy through Air Quality Data Analysis

V ponedeljek, 19. avgusta 2024, 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. avgust 2024 ob 16.00 na daljavo prek Zoom-a.

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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 and projects mostly concern machine learning.

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NASLOV: Predictive Modeling of Indoor Occupancy through Air Quality Data Analysis
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POVZETEK:

This presentation will provide an overview of indoor air quality (IAQ) monitoring using sensor networks, focusing on the architecture, capabilities, and underlying technologies that power these systems. We will then explore a practical application through a case study conducted in a Slovenian elementary school, where a machine learning model was developed to predict classroom occupancy based on IAQ data. The talk will highlight the implementation challenges, the integration of multiple data sources (IAQ sensors, school schedules, and weather data), and the privacy concerns associated with the ability to infer sensitive information from seemingly safe data.

Seminar bo potekal v angleškem jeziku prek Zoom-a ob 16:00 uri na sledeči povezavi:
https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni.


ponedeljek, 12. avgust 2024 Maheshya Weerasinghe: Development of Extended Reality (XR) Environments

Tokrat izjemoma v torek, 13. avgusta 2024, bo ob 10.00 uri izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 13. avgust 2024 ob 10.00 na daljavo prek Zoom-a.

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PREDAVATELJICA: Maheshya WEERASINGHE
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Maheshya Weerasinghe successfully completed her PhD in Computer Science at the International joint degree program with University of St. Andrews, UK. She is a member of the HICUP Lab. Her research areas include Human-Computer Interaction, Extended Realities, e-Learning and Cognitive Augmentation.

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NASLOV: Development of Extended Reality (XR) Environments
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POVZETEK:

Extended reality (XR) encompasses various immersive technologies including virtual reality (VR), augmented reality (AR), and mixed reality (MR). These environments enhance or simulate the physical world through digital means, providing users with immersive experiences ranging from completely virtual spaces to enhanced views of the real world. Creating XR environments requires specific hardware and software. Hardware includes VR headsets, AR glasses, sensors, and controllers, which allow users to interact with virtual elements. On the software side, development platforms and engines, such as Unity 3D, play a crucial role in building and running XR applications.
Unity 3D is a powerful and widely-used game development platform that supports the creation of 2D, 3D, VR, and AR applications. It provides a comprehensive set of tools for designing, coding, and deploying interactive experiences. Vuforia, integrated with Unity 3D, is a popular framework for developing AR applications. It allows developers to create applications that recognise and track real-world images and objects, overlaying digital content onto the physical environment. The process involves importing the Vuforia SDK into Unity, setting up AR camera and image targets, and scripting interactions to provide rich, interactive AR experiences.

Seminar bo potekal v angleškem jeziku prek Zoom-a ob 10:00 uri na sledeči povezavi:
https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Naša gostja na Ponedeljkovem seminarju računalništva in informatike bo jutrišnje predavanje izvedla kot svoje Preizkusno predavanje pri izvolitvi v pedagoški naziv, zato prilagam tudi Dekanovo uradno vabilo na dogodek.

Vabljeni.


ponedeljek, 5. avgust 2024 2 predavanji: Dani ZUGAN & Kaja PRAPROTNIK: Empirična primerjava algoritmov za iskanje najkrajših poti v omrežju & Iskanje po nestrukturiranih podatkih senzorskih omrežij s pomočjo jezikovnih modelov

V ponedeljek, 5. avgusta 2024, 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: 5. avgust 2024 ob 16.00 na daljavo prek Zoom-a.

1. predavanje:

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PREDAVATELJ: Dani ZUGAN
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Dani Zugan je študent 2. letnika magistrskega programa Računalništvo in informatika na UP FAMNIT.

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NASLOV: Empirična primerjava algoritmov za iskanje najkrajših poti v omrežju
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POVZETEK:

Na seminarju bo predstavljena tema magistrskega dela, ki se osredotoča na različico problema iskanja najkrajših poti med vsemi pari vozlišč (APSP). Empirično bodo ovrednoteni različni algoritmi na usmerjenih grafih, kjer je število povezav manjše ali enako številu vozlišč.

2. predavanje:

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PREDAVATELJICA: Kaja PRAPROTNIK
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Kaja Praprotnik je študentka 2. letnika magistrskega programa Podatkovna znanost na UP FAMNIT.

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NASLOV: Iskanje po nestrukturiranih podatkih senzorskih omrežij s pomočjo jezikovnih modelov
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POVZETEK:

Sodobni tehnološki napredki na področju NLP (Natural language processing) so bistveno spremenili način interpretacije in obdelave podatkov. Dober primer tega so Veliki Jezikovni Modeli, ki se jih primarno uporablja za ustvarjanje in  obdelavo besedil na podlagi velikih količin vhodnih podatkov. V okviru ponedeljkovega seminarja bomo predstavili temo magistrske naloge o uporabi Velikih Jezikovnih modelov za interpretacijo neobdelanih podatkov iz različnih virov.

Seminarja bosta potekala v slovenskem jeziku prek Zoom-a ob 16:00 uri na sledeči povezavi:
https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni.