Znanstveni radovi

Znanstveni radovi objavljeni 2026. godine dostupni su ovdje.


Znanstveni projekti 2025.-

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Znanstveni skupovi i konferencije

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Dobrodošli na stranicu matematičkog odsjeka


IZDVOJENE OBAVIJESTI

...
Izdvojeno Matematika

Prof. dr. sc Igor Pažanin dobitnik nagrade „Andrija Mohorovičić“

  Nagrada "Andrija Mohorovičić" Sveučilišta u Zagrebu dodjeljuje se pojedincima u Hrvatskoj i inozemstvu za ostvarene znanstvene rezultate, promicanje znanstvene discipline i struke, te prijenos znanja i odgoj mladih stručnjaka u području prirodnih znanosti. S osobitim ponosom ističemo kako je dugogodišnji profesor Matematičkog odsjeka, prof. dr. sc. Igor Pažanin, ovogodišnji dobitnik prestižne nagrade „Andrija Mohorovičić“ za 2025./2026. godinu. Ovo značajno priznanje predstavlja potvrdu njegova dugogodišnjeg predanog rada i doprinosa znanosti. Upućujemo mu iskrene čestitke na ovom iznimnom postignuću!


UPIŠI MATEMATIKU


Kolokvij HDTMB - Mile Šikić:...

U srijedu 26.06.2024. u točno 16:30 u dvorani 004 Matematičkog Odsjeka PMF-a, Mile Šikić (FER i Genome Institute of Singapore) će održati kolokvij HDTMB-a:

Title: Leveraging AI for Breakthroughs in Genomic Research

 

Abstract:

This presentation will explore advancements in genomic research, starting with de novo assembly, where Šikić's lab leads with novel applications of  long reads technology. Herro, an innovative AI-based error correction model, increases the accuracy of simplex nanopore reads up to two orders of

magnitude, starting a new era of genome sequencing with long and ultra reads whose accuracy exceeds 99.95 %. The talk will also introduce GNNOME,  the lab's pioneering GNN-driven de novo assembly tool, unlocking the potential to decode increasingly complex genomes across various ploidy and aneuploidy levels—a future lab goal. In the second part, the talk will highlight the RNA 3D structure determination project. The lab has developed RiNALMo, the largest RNA language model with 650 million parameters. RiNALMo achieves previously unseen generalisation in downstream applications, such as secondary structure and splice site predictions.

 

Biography

Mile Šikić is the group leader at the Genome Institute of Singapore and a professor of computer science at the University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia.

Throughout his scientific career, he has specialized in developing algorithms and AI methods for genomics. His laboratory has created several cutting-edge tools, including  the Racon consensus tool, the Raven de novo assembler, and the Edlib sequence aligner. Recently, the focus of his lab has shifted towards integrating AI into the de novo assembly process and innovating AI models to make RNA druggable. In the initial decade of his career, Dr Šikić was engaged in various industry projects related to computer and mobile networks.

He is an accomplished entrepreneur, having founded several ventures, including a hedge fund.

Autor: Božidar Tartaro
Popis obavijesti

Događanja

05.
studenoga
12:15-14:15,
Predavaonica 104
10.
studenoga
16:15-18:15,
Predavaonica 104
11.
studenoga
17:30-19:30,
Predavaonica 005

Broj posjeta:
13536850