V ponedeljek, 15. junija 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: 15. junij 2026 ob 16.00 prek Zoom-a.

1. predavanje:
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PREDAVATELJICA: Ekaterina BOCHVAROSKA
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Ekaterina Bochvaroska received her B.Sc. degree in Computer Science from UP FAMNIT in 2025, where she is currently pursuing the M.Sc. degree in Computer Science. She is currently working as a developer at the Port of Koper,  where she is involved in software development, data analysis, and digital solutions for logistics and port operations. Her research interests include decentralized systems, distributed computing, blockchain technologies, algorithms and data structures.

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NASLOV: RAVEN: A Retention-Aware Verifiable Extension-Block Network for Off-Chain Message Storage and Retrieval
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POVZETEK:

RAVEN is a prototype protocol and reference implementation that stores encrypted-message data in off-chain extension blocks and commits each block to an ordered parent chain through a small anchor record. Nodes keep different amounts of history - archive nodes retain everything, regular nodes only a recent suffix window  and a client retrieves height ranges from whichever nodes can serve them. Every returned block is verified against its canonical, final anchor before acceptance, so corrupt, missing, or orphaned data is detected rather than trusted. The project covers the protocol core, the node runtime, the retention-aware retrieval pipeline, and an experiment that runs the same workload across several strategies on a local Docker Compose demo.

Seminar bo potekal v angleškem jeziku.

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2. predavanje:
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PREDAVATELJ: Andrej MILISAVLJEVIĆ
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Andrej Milisavljević is a student of Data Science at UP FAMNIT, currently researching cheminformatics at UPR with professors Marko Jukić and Jure Pražnikar as mentors. Their research includes methods for protein modeling, binding site detection, ligand docking, and the parallelization and distribution of cheminformatics computational analyses.

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NASLOV: SAVI ionization and conformer generation
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POVZETEK:

In molecular docking simulations used for the discovery of new medicines, the initial conformation and ionization states of the molecules being studied are crucial for ensuring biochemically relevant results and allowing drug-like molecules to be recognized. In this work, we describe a distributed and parallelized pipeline for efficiently computing ionization states and molecular conformations of 1 billion molecules from the Synthetically Accessible Virtual Inventory (SAVI), and the resulting docking-ready dataset of drug-like molecules for use in drug discovery and other related studies.

Seminar bo potekal v angleškem jeziku.

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Seminarja bosta potekala online prek aplikacije Zoom s pričetkom ob 16:00 uri na sledeči povezavi:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Meeting ID: 297 328 207
Passcode: 123456789

Vabljeni!