PORTFELJ / Erik Otović mag. ing. comp.

Portfelj

Erik Otović

mag. ing. comp.

Tehnički fakultet

Zavod za računarstvo

Kontakt

T +385 51 505707

UNIRI e-mail

e-mail 1

PROSTORIJA 1-40

Vidljivost

Obrazovanje

2020. -

Doktor znanosti

Poslijediplomski sveučilišni doktorski studij (računarstvo)

Tehnički fakultet Sveučilišta u Rijeci

2018. - 2020.

Magistar inženjer računarstva

Diplomski sveučilišni studij računarstva

Tehnički fakultet Sveučilišta u Rijeci

2015. - 2018.

Prvostupnik inženjer računarstva (summa cum laude)

Preddiplomski sveučilišni studij računarstva

Tehnički fakultet Sveučilišta u Rijeci

Radno iskustvo

1.10.2020. -

Asistent

Tehnički fakultet Sveučilišta u Rijeci

4.2019. - 9.2020.

Junior DevOps engineer

Asseco SEE

Nagrade i priznanja

2018.

Dekanova nagrada za izvrsnost

Nastavna djelatnost

Kolegiji

2021. -

Evolucijsko računarstvo

Diplomski sveučilišni studij računarstva

Tehnički fakultet Sveučilišta u Rijeci

Asistent

2020. - 2021.

Inženjerstvo kompleksnih programskih sustava

Diplomski sveučilišni studij računarstva

Tehnički fakultet Sveučilišta u Rijeci

Asistent

Znanstvena djelatnost

Znanstveni radovi

2023.

Manually curated dataset of catalytic peptides for ester hydrolysis

Janković, Patrizia; Otović, Erik; Mauša, Goran; Kalafatovic, Daniela

Data in Brief

https://www.sciencedirect.com/science/article/pii/S2352340923004092

Q3

2023.

Configurable soft computing-based generative model: The search for catalytic peptides

Mauša, Goran; Njirjak, Marko; Otović, Erik; Kalafatovic, Daniela

MRS Advances

https://link.springer.com/article/10.1557/s43580-023-00629-8

Q4

2022.

The Choice of Time–Frequency Representations of Non-Stationary Signals Affects Machine Learning Model Accuracy: A Case Study on Earthquake Detection from LEN-DB Data

Njirjak, Marko ; Otović, Erik ; Jozinović, Dario ; Lerga, Jonatan ; Mauša, Goran ; Michelini, Alberto ; Štajduhar, Ivan

Mathematics - 10 17

Q1 Exc

2022.

Sequential Properties Representation Scheme for Recurrent Neural Network-Based Prediction of Therapeutic Peptides

Otović, Erik ; Njirjak, Marko ; Kalafatovic, Daniela ; Mauša, Goran

Journal of chemical information and modeling - 62 2961-2972

Q1

2021.

Seismogram waveform datasets for ConvNetQuake_INGV

Lomax, Anthony ; Jozinović, Dario ; Otović, Erik ; Michelini, Alberto

Zenodo

https://zenodo.org/record/5040865

2021.

Intra-domain and cross-domain transfer learning for time series data – How transferable are the features?

Otović, Erik ; Njirjak, Marko ; Jozinović, Dario ; Mauša, Goran ; Michelini, Alberto ; S̆tajduhar, Ivan

Knowledge-Based Systems - 239 19

https://www.sciencedirect.com/science/article/abs/pii/S0950705121010984

Q1

Kongresna priopćenja

25.5.2023.

Neuroevolution for the Sustainable Evolution of Neural Networks

Otović, Erik; Lerga, Jonatan; Kalafatovic, Danijela; Mauša, Goran

Usmeno izlaganje

The 46th International ICT Convention – MIPRO 2023 Opatija

1.12.2022.

Transfer Learning for Improved Peptide Activity Prediction on Small Dataset

Otović Erik, Kalafatovic Daniela, Mauša Goran

Poster

The 11th Austrian Peptide Symposium Beč, Austrija

30.10.2022. - 04.11.2022.

Soft computing for constructive peptide design and peptide activity prediction

Mauša, Goran ; Otović, Erik ; Njirjak, Marko ; Erjavac, Ivan ; Kalafatovic, Daniela

Poster

Chemistry and Biology of Peptides Gordon Research Conference Oxnard, California, USA

01.09.2022. - 02.09.2022.

Transfer Learning for Improved Peptide Activity Prediction on Small Dataset

Otović, Erik ; Kalafatović, Daniela ; Mauša, Goran

Poster

5th RSC-BMCS / RSC-CICAG Artificial Intelligence in Chemistry Cambridge, Ujedinjeno Kraljevstvo

27.09.2021. - 28.09.2021.

Machine learning guided genetic algorithm for the discovery of novel antimicrobial peptides

Njirjak, Marko ; Otović Erik ; Kalafatović, Daniela ; Mauša, Goran

Poster

4th RSC‐BMCS / RSC‐CICAG Artificial Intelligence in Chemistry Symposium Cambridge, Ujedinjeno Kraljevstvo (online)

19.04.2021. - 30.04.2021.

Machine Learning Classification of Cohen's Class Time-Frequency Representations of Non-Stationary Signals: Effects on Earthquake Detection

Njirjak, Marko ; Otović, Erik ; Jozinović, Dario ; Lerga, Jonatan ; Mauša, Goran ; Michelini, Alberto ; Štajduhar, Ivan

Usmeno izlaganje

EGU General Assembly 2021 Beč, Austrija (online)

19.04.2021. - 30.04.2021.

Intra-domain and cross-domain transfer learning for time series

Otović, Erik ; Njirjak, Marko ; Jozinović, Dario ; Mauša, Goran ; Michelini, Alberto ; Štajduhar, Ivan

Usmeno izlaganje

EGU General Assembly 2021 Beč, Austrija (online)

2021.

Peptide Activity Prediction Improved by Hellinger Distance

Otović, Erik; Črnjarić-Žic, Nelida; Mauša, Goran

Usmeno izlaganje

MFC 2021 Rijeka, Croatia

28.09.2020. - 02.10.2020.

Smartphone Based Range of Motion Measurement in Physiotherapy

Njirjak, Marko ; Otovic, Erik ; Budimir, Marko ; Vlahovic, Hrvoje ; Tomic, Mladen ; Marijančić, Verner

Usmeno izlaganje

The 43rd International ICT Convention – MIPRO 2020 Opatija, Hrvatska

http://docs.mipro-proceedings.com/dsbe/05_DSBE_6047.pdf

17.9.2020. - 19.9.2020.

Genetic Algorithm Parametrization for Informed Exploration of Short Peptides Chemical Space

Otović, Erik; Njirjak, Marko; Žužić, Ivana; Kalafatović, Daniela; Mauša, Goran;

Usmena prezentacija

SoftCOM 2020

https://ieeexplore.ieee.org/abstract/document/9238187

Stručna djelatnost

Stručna aktivnost

1.10.2019. - 1.11.2019.

Stručna praksa

Huawei Technologies Co. Ltd.

Projekti

Znanstveni projekti

2020. - 2025.

Design of short catalytic peptides and peptide assembles

Doktorand

HRZZ 1.999.600,00 HRK