V ponedeljek, 1. junij 2026, bodo 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: 1. junij 2026 ob 16.00 v FAMNIT-VP3.

1. predavanje:
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PREDAVATELJICA: Kosar SEYYEDHOSSEINZADEH
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Kosar Seyedhosseinzadeh is a second-year PhD student and teaching assistant at UP FAMNIT, where she works with the HICUP Lab. She is working on music recommender systems and user modeling. She received her bachelor’s and master’s degrees in computer engineering from Iran, where her master’s research also focused on recommender systems.

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NASLOV: What do Listeners Attend to When Listening to Music? Toward Explainable Music Recommendations
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POVZETEK:

Music recommender systems are good at suggesting songs, but explaining why a song is relevant to a listener is more difficult. This Seminar explores how listeners differ in what they attend to when listening to music, especially lyrics and musical elements such as rhythm, melody, and harmony. The main idea is that understanding these listener orientations can support user modeling for future explainable music recommender systems.

Seminar bo potekal v angleškem jeziku.

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2. predavanje:
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PREDAVATELJ: Asmir KADUŠIĆ
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Asmir Kadušić is a master’s student at UP FAMNIT with a bachelor’s degree in applied mathematics. Currently, he works in the industry at Quant3S as a data scientist/software developer on different kinds of problems. His work includes big data related to commodity trading, forecasting models, database maintenance, and designing solutions for various problems using Microsoft technologies.

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NASLOV: Scallable Parallel Influence Maximization with a Multi-State Diffusion Model
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POVZETEK:

I will present my work related to my master’s thesis. More specifically, I will present the extension I developed which introduces multistate nodes in the network and addresses the IM problem within the existing theoretical limits. The solution is designed for a distributed system of machines using the MPI model, with the goal of solving and running it on large real-world graphs. I also apply the solution to political influence analysis in networks using the soc-pokec relationship dataset.

Seminar bo potekal v angleškem jeziku.

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Seminarja bosta potekala v predavalnici FAMNIT-VP3 s pričetkom ob 16:00 uri.

Vabljeni!