2020. - 2024.

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

1.1.2025. -

Viši asistent

Tehnički fakultet Sveučilišta u Rijeci

1.10.2020. - 31.12.2024.

Asistent

Tehnički fakultet Sveučilišta u Rijeci

4.2019. - 9.2020.

Junior DevOps engineer

Asseco SEE

2024.

Nagrada za nastavnu izvrsnost

2018.

Dekanova nagrada za izvrsnost

2025. -

Operacijski sustavi 1

Prijediplomski sveučilišni studij računarstva

Tehnički fakulter Sveučilišta u Rijeci

Asistent

2025. -

Operacijski sustavi

Prijediplomski sveučilišni studij računarstva

Tehnički fakulter Sveučilišta u Rijeci

Asistent

2024. -

Algoritmi i strukture podataka

Prijediplomski sveučilišni studij računarstva

Tehnički fakulter Sveučilišta u Rijeci

Asistent

2024. -

Programiranje 1

Prijediplomski sveučilišni studij računarstva

Tehnički fakulter Sveučilišta u Rijeci

Asistent

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

2025.

Unravelling Cyclic Peptide Membrane Permeability Prediction: A Study on Data Augmentation, Architecture Choices, and Representation Schemes

Cabezón, Alfonso; Otović, Erik; Kalafatović, Daniela; Piñeiro, Angel; García-Fandiño, Rebeca; Mauša, Goran

Digital Discovery

https://pubs.rsc.org/en/Content/ArticleLanding/2025/DD/D4DD00375F

Q1

2024.

Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning

Njirjak, Marko; Žužić, Lucija; Babić, Marko; Janković, Patrizia; Otović, Erik; Kalafatović, Daniela; Mauša, Goran

Nature Machine Intelligence

https://www.nature.com/articles/s42256-024-00928-1

Q1 Exc

2024.

Efficiently solving the curse of feature-space dimensionality for improved peptide classification

Negovetić, Mario; Otović, Erik; Kalafatović, Daniela; Mauša, Goran

Digital Discovery

https://pubs.rsc.org/en/content/articlehtml/2024/dd/d4dd00079j

Q1

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

30.9.2024.

Overcoming antibiotic resistance: A machine learning pipeline for antimicrobial peptide discovery

Njirjak, Marko; Otović, Erik

Firenca, Italija

2023.

Efficient evolutionary computing

Otović, Erik; Njirjak, Marko

Coimbra, Portugal (SusTrainable Summer School)

2022.

Applying Soft Computing for Sustainability

Otović, Erik; Njirjak, Marko

Rijeka, Hrvatska (SusTrainable Summer School)

25.9.2024. - 31.9.2024.

A comprehensive machine learning framework for the prediction of therapeutic peptides from small datasets

Otović, Erik; Kalafatović, Daniela; Mauša, Goran

Usmena prezentacija

37th European Peptide Symposium & 14th International Peptide Symposium Firenca, Italija

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

21.3.2024. - 22.3.2024.

Sustainable Digitalization in Europe: Focus on data infrastructures and cloud computing

Amsterdam, Nizozemska Panelist

2025.

A Robust Machine Learning Architecture for Accurate Identification of Antiviral Peptides Using Combined Encoded Features

IEEE Transactions on Computational Biology and Bioinformatics

1.10.2019. - 1.11.2019.

Stručna praksa

Huawei Technologies Co. Ltd.

2.10.2024. - 1.10.2028.

Searching for Nanostructured or pOre fOrming Peptides for therapY (SNOOPY)

Suradnik

COST Action

https://cost-snoopy.eu/

1.6.2024. - 1.6.2025.

Predviđanje terapeutskih peptida zasnovano na dubokom učenju

Suradnik

Sveučilište u Rijeci 6.333,00 EUR

1.5.2024. - 1.5.2025.

Dizajn pametnih peptidnih nanostruktura sa ispoljavajućim funkcijama

Suradnik

Sveučilište u Rijeci 7.207,47 EUR

1.1.2024. - 1.1.2025.

Primjena umjetne inteligencije u predviđanju genskog izražaja

Suradnik

Sveučilište u Rijeci 7.000,00 EUR

1.9.2020. - 31.8.2023.

Promicanje održivosti kao temeljnog pokretača u osposobljavanju i obrazovanju za razvoj softvera

Suradnik

Europska Unija (Erasmus+) 350.000 EUR

2020. - 2025.

Design of short catalytic peptides and peptide assembles

Doktorand

HRZZ 1.999.600,00 HRK

1.1.2020. - 1.1.2023.

Primjena strojnog učenja za pronalazak katalitički aktivnih peptida

Suradnik

Sveučilište u Rijeci 41.020,14 HRK