01.03.2011. - 18.07.2016.

Doktor znanosti iz polja računarstva

Poslijediplomski doktorski studij računarstva

Fakultet elektrotehnike i računarstva, Sveučilište u Zagrebu

2008. - 2010.

Magistar inženjer elektrotehnike (magna cum laude)

Diplomski sveučilišni studij elektrotehnike, smjer automatika

Tehnički fakultet, Sveučilište u Rijeci

2005. - 2008.

Prvostupnik inženjer elektrotehnike (summa cum laude)

Preddiplomski sveučilišni studij elektrotehnike

Tehnički fakultet, Sveučilište u Rijeci

1.1.2024.

Izvanderni profesor

Tehnički fakultet, Sveučilište u Rijeci

01.10.2022. -

Predstojnik zavoda za računarstvo

Tehnički fakultet, Sveučilište u Rijeci

01.10.2018. - 31.12.2023.

Docent

Tehnički fakultet, Sveučilište u Rijeci

01.12.2016. - 01.10.2018.

Poslijedoktorand

Znanstveno-istraživačka djelatnost: - suradnik na uspostavnom istraživačkom projektu Programski sustavi u evoluciji: analiza i inovativni pristupi pametnom upravljanju znanst (UIP-2014-09-7945) Obrazovna i nastavna djelatnost - asistent na kolegijima preddiplomskog i diplomskog studija računarstva

Tehnički fakultet, Sveučilište u Rijeci

01.12.2010. - 01.12.2016.

Znanstveni novak

Znanstveno-istraživačka djelatnost: - student poslijediplomskog doktorskog studija računarstva - suradnik na uspostavnom istraživačkom projektu Programski sustavi u evoluciji: analiza i inovativni pristupi pametnom upravljanju znanst (UIP-2014-09-7945) Obrazovna i nastavna djelatnost - asistent na kolegijima preddiplomskog i diplomskog studija računarstva

Tehnički fakultet, Sveučilište u Rijeci

16.01.2024.

Godišnja nagrada Zaklade Sveučilišta u Rijeci u kategoriji znanstvenika za područje tehničkih i biotehničkih znanost za 2022. godinu

15.11.2023.

Državne nagrade za znanost Ministarstva znanosti i obrazovanja za područje tehničkih znanosti za 2022. godinu

24.09.2019.

Nagrada BEST PAPER AWARD na konferenciji SQAMIA 2019 (Ohrid, North Macedonia, Spet 2019)

08.12.2017.

Godišnja nagrada Zaklade Sveučilišta u Rijeci u kategoriji mladih znanstvenika za područje tehničkih i prirodnih znanost za 2016. godinu

01.07.2016.

Najbolja istraživačka ideja pod naslovom Defect Prediction Using a Search-Based Software Engineering Approach na ljetnoj školi SS-SBSE (Cadiz, Španjolska, 2016.)

2023.

MRS

2022. -

EPS

2021.

IEEE

2010. - 2016.

IEEE

2023.

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

G. Mauša, M. Njirjak, E. Otović, D. Kalafatovic

MRS Advances - 1–7

https://doi.org/10.1557/s43580-023-00629-8

Q4 WOS

2023.

Manually curated dataset of catalytic peptides for ester hydrolysis

P. Janković, E. Otović, G. Mauša, D. Kalafatovic

Data in Brief - 48 109290

https://doi.org/10.1016/j.dib.2023.109290

Q3 WOS

2023.

Comparing Direct Measurements and Three-Dimensional (3D) Scans for Evaluating Facial Soft Tissue

B. Gašparović, L. Morelato, K. Lenac, G Mauša, A. Zhurov, V. Katić

Sensors - 23 2412

https://doi.org/10.3390/s23052412

Q2 WOS

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

M. Njirjak, E. Otović, D. Jozinović, J. Lerga, G. Mauša, A. Michelini, I. S̆tajduhar

Mathematics - 10(6) 1 – 17

https://doi.org/10.3390/math10060965

Q1 WOS Exc Q1 Exc

2022.

Esterase Sequence Composition Patterns for the Identification of Catalytic Triad Microenvironment Motifs

M. Babić, P. Janković, S. Marchesan, G. Mauša, D. Kalafatovic

Journal of Chemical Information and Modeling - 62 6398-6410

https://doi.org/10.1021/acs.jcim.2c00977

Q1

2022.

Deep Learning Approach For Objects Detection in Underwater Pipeline Images

B. Gašparović, J. Lerga, G. Mauša, M. Ivašić-Kos

Applied Artificial Intelligence - 36 2146853

https://doi.org/10.1080/08839514.2022.214685

Q3

2022.

Predictive modeling of microbiological seawater quality in karst region using cascade model

I. Lučina, S. Družeta, G. Mauša, M. Alvir, L. Grbčić, D. Vukić Lušić, A. Sikirica, L. Kranjčević

Science of The Total Environment - 851 158009

https://doi.org/10.1016/j.scitotenv.2022.158009

Q1 WOS Exc

2022.

Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis

L. Grbčić, S. Družeta, G. Mauša, T. Lipić, D. Vukić Lušić, M. Alvir, I. Lučin, A. Sikirica, D. Davidović, V. Travaš, D. Kalafatovic, K. Pikelj, H. Fajković, T. Holjević, L. Kranjčević

Environmental Modelling & Software - 155 105458

https://doi.org/10.1016/j.envsoft.2022.105458

Q1 WOS Q1

2022.

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

E. Otović, M. Njirjak, D. Kalafatovic, G. Mauša

Journal of Chemical Information and Modeling

https://doi.org/10.1021/acs.jcim.2c00526

Q1 WOS

2022.

Coupled encoding methods for antimicrobial peptide prediction: How sensitive is a highly accurate model?

I. Erjavac, D. Kalafatovic, G. Mauša

Artificial Intelligence in the Life Sciences - 2

https://doi.org/10.1016/j.ailsci.2022.100034

2022.

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

E. Otović, M. Njirjak, D. Jozinović, G. Mauša, A. Michelini, I. S̆tajduhar

Knowledge-Based Systems - 239 1 – 18

https://doi.org/10.1016/j.knosys.2021.107976

Q1 WOS Q1

2020.

Bottom-Up Design Approach for OBOC Peptide Libraries

D. Kalafatovic; G. Mauša; D. Rešetar Maslov; E. Giralt

Molecules - 25 1 - 15

https://doi.org/10.3390/molecules25153316

Q2 WOS

2019

Algorithm-supported, mass and sequence diversity-oriented random peptide library design

Kalafatovic, Daniela; Mauša, Goran; Todorovski, Toni; Giralt, Ernest;

Journal of cheminformatics - 11 15

https://jcheminf.biomedcentral.com/articles/10.1186/s13321-019-0347-6

Q1 WOS Exc

2017.

Co-evolutionary Multi-Population Genetic Programming for Classification in Software Defect Prediction: an Empirical Case Study

G. Mauša; T. Galinac Grbac

Applied soft computing - 55 331 – 351

https://doi.org/10.1016/j.asoc.2017.01.050

Q1 WOS

2016.

A Systematic Data Collection Procedure for Software Defect Prediction

G. Mauša, T. Galinac Grbac, B. Dalbelo Bašić

Computer Science and Information Systems Journal - 13 173–197

http://www.doiserbia.nb.rs/img/doi/1820-0214/2016%20OnLine-First/1820-02141500061M.pdf

Q2

30.01.2024.

Soft Computing for prediction, optimization and generation

G. Mauša

Cirad, research institute, Montpellier, France

28.08.2023.

Efficient evolutionary computing

G. Mauša

Department of Informatics of Universidade do Minho, Braga, Portugal @ IFL2023

https://ifl23.github.io/sustrainable.html

11.07.2023.

Efficient evolutionary computing

G. Mauša

Department of Informatics Engineering of the University of Coimbra, Coimbra, Portugal

24.01.2023.

Efficient evolutionary computing

G. Mauša

Sveučilište Juraj Dobrila, Hrvatska

05.07.2022.

Applying Soft Computing for Sustainability

G. Mauša

Rijeka, Hrvatska

https://sustrainable.uniri.hr/

17.06.2022.

Data Pre-processing for Green Data Mining

G. Mauša

ICT4S - SusTrainable @ University of Plovdiv, Bulgaria

https://gsd.web.elte.hu/events/sustrainable

02.11.2021.

Soft Computing for Sustainability Science

G. Mauša

Radboud University Nijmegen, Nizozemska

https://sustainable.cs.ru.nl/TeacherTrainingNijmegen

26.05.2021.

Artificial Intelligence Based Design of Short Peptides

G. Mauša

Data Science Croatia 2021 (Zagreb, online event)

https://croatia.datasciconference.com/schedule/

22.10.2020.

Application of soft computing in peptide design

G. Mauša

COVID-19 Messages: Stem for Human Species Survival

https://uniri.hr/covid-19-messages-o-pandemiji-iz-pet-perspektiva/

03.02.2020. - 07.02.2020.

Artificial Intelligence in Data Science

G. Mauša

Komarno, Slovačka

22.08.2019.

Software Defect Prediction

G. Mauša

Budimpešta, Mađarska

21.01.2015.

Data Collection from Open Source Software Repositories

G. Mauša

London, UK

22.03.2024.

Integration of Machine Learning and Genetic Algorithm as a Generative Model

G. Mauša, D. Kalafatovic

usmeno izlaganje

IOS INFORMS 2024 Houston, USA

10.10.2023.

Soft computing for constructive peptide design and peptide activty prediction

G. Mauša, M. Njirjak, E. Otović

usmeno izlaganje

Japanese Peptide Symposium Otsu, Japan

https://www.peptide-soc.jp/60jps/en/

7.2023.

Generative Machine Learning Models Applied to Peptide Self-Assembly

G. Mauša, D. Kalafatovic

Poster

Peptide Self-Assembly 2023 Manchester, UK

6.2023.

Soft Computing Guided Discovery of Active Peptides

G. Mauša, M. Njirjak, E. Otović, L. Žužić, M. Babić, P. Janković, D. Kalafatovic

Poster, flash talk

28th American Peptide Symposium Scottsdale, SAD

5.2023.

Neuroevolution for the Sustainable Evolution of Neural Networks

E. Otović, J. Lerga, D. Kalafatovic, G. Mauša

Prezentacija

MIPRO 2023 Opatija, Hrvatska

https://ieeexplore.ieee.org/document/10159943

12.2022.

Esterase sequence composition patterns as inspiration for the design of short catalytic peptides,

M. Babić, P. Janković, A. S. Pina, G. Mauša, D. Kalafatovic

Poster

11th Austrian Peptide Symposium Vienna, Austria

12.2022.

Genetic Algorithm-enhanced Parallel Chemical Space Exploration Utilising Multiple Peptide Libraries

M. Njirjak, D. Kalafatovic, G. Mauša

Poster

11th Austrian Peptide Symposium Vienna, Austria

12.2022.

Transfer Learning for Improved Peptide Activity Prediction on Small Dataset,

E. Otović, D. Kalafatovic, G. Mauša

Poster

11th Austrian Peptide Symposium Vienna, Austria

10.2022.

Esterase Sequence Composition Patters As Inspiration For The Design Of Short Catalytic Peptides,

D. Kalafatovic, P. Janković, M. Babić, A. S. Pina, G. Mauša

Poster

GRC Chemistry and Biology of Peptides Oxnard, USA

10.2022.

Soft Computing for Constructive Peptide Design and Peptide Activity Prediction

G. Mauša, E. Otović, M. Njirjak, I. Erjavac, D. Kalafatovic

Poster

GRC Chemistry and Biology of Peptides Oxnard, USA

9.2022.

Genetic Algorithm-enhanced Parallel Chemical Space Exploration Utilising Multiple Peptide Libraries

M. Njirjak, D. Kalafatovic, G. Mauša

Poster

5th RSC Artificial Intelligence in Chemistry Symposium Cambridge, UK

9.2022.

Transfer Learning for Improved Peptide Activity Prediction on Small Dataset

E. Otović, D. Kalafatovic, G. Mauša

Poster

5th RSC Artificial Intelligence in Chemistry Symposium Cambridge, UK

4.2021.

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

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

prezentacija

EGU General Assembly 2021 Beč, Austrija (online)

4.2021.

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

prezentacija

EGU General Assembly 2021 Beč, Austrija (online)

2021.

Theoretical evaluation of enzyme active sites and catalytic peptides involved in ester hydrolysis

M. Babić, G. Mauša, Ž. Svedružić, D. Kalafatovic

Poster

27th Croatian Meeting of Chemists and Chemical Engineers Veli Lošinj, Hrvatska

2021.

Peptide Activity Prediction Improved by Hellinger Distance

E. Otović, N. Črnjarić-Žic, G. Mauša

Prezentacija

MFC 2021 Rijeka, Hrvatska

2020.

Genetic Algorithm Parametrization for Informed Exploration of Short Peptides Chemical Space

Otović E., Njirjak M., Žužić I., Kalafatovic D., Mauša G.

Prezentacija i poster (na daljinu)

SoftCOM 2020 Hvar, Hrvatska (na daljinu)

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

2019.

Software Metrics as Identifiers of Defect Occurrence Severity

G. Mauša, T. Galinac Grbac, L. Brezočnik, v. Podgorelec, M. Heričko

prezentacija

SQAMIA 2019 Ohrid, Sjeverna Makedonija

2019.

The Impact of Refactoring on Maintability of Java Code: A Preliminary Review

M. Gradišnik, S. Karakatič, T. Beranič, M. Heričko, G. Mauša, T. Galinac Grbac

prezentacija

SQAMIA 2019 Ohrid, Sjeverna Makedonija

2019.

Adapting God Class thresholds for software defect prediction: A case study

Gradišnik, M.; Beranič, T.; Karakatič, S.; Mauša, G.

prezentacija

MIPRO 2019 Opatija, Hrvatska

2019.

Možnosti vpeljave umetne inteligence v proces razvoja programske opreme

Gradišnik, M; Karakatič, S.; Mauša, G.; Beranič, T.; Heričko, M.

prezentacija

DSI 2019 Portorož, Slovenija

28.08.2018.

Using Threshold Derivation of Software Metrics for Building Classifiers in Defect Prediction

Mohović, M., Mauša, G., Galinac Grbac, T.

prezentacija

SQAMIA 2018 Novi Sad, Srbija

23.05.2018.

Cross-release code churn impact on effort-aware software defect prediction

Miletić, M., Vukušić, M., Mauša, G., Galinac Grbac, T.

prezentacija

MIPRO 2018 Opatija, Hrvatska

2017.

Decision Support System for Combinatorial Peptide Libraries

Mauša, G., Kalafatovic, D., Giralt, E., Galinac Grbac, T.

poster

ENABLE 2017 Barcelona, Španjolska

2017.

The Stability of Threshold Values for Software Metrics in Software Defect Prediction

Mauša, G., Galinac Grbac, T.

prezentacija

MEDI 2017 Barcelona, Španjolska

2017.

Relationship Between Design and Defects for Software in Evolution

Miletić, M., Vukušić, M., Mauša, G., Galinac Grbac, T.

prezentacija

SQAMIA 2017 Beograd, Srbija

30.11.2016.

Critical Level of Data Imbalance For Machine Learning Algorithms In Software Defect Prediction

Mauša, G., Dalbelo Bašić, B., Galinac Grbac, T.

poster

IWDS 2016 Zagreb, Hrvatska

29.11.2016.

On the distribution of software faults in evolution of complex systems

Galinac Grbac. T., Mauša, G.

prezentacija

ECSA 2016 Kopenhagen, Danska

2016.

Assessing the impact of untraceable bugs on the quality of software defect prediction datasets

Mauša, G., Galinac Grbac, T.

prezentacija

SQAMIA 2016 Budimpešta, Mađarska

2015.

Data Storage and Analysis System for Conducting Biotechnological Experiments

Spahić, Damir; Mauša, Goran; Kraljević Pavelić, Sandra; Galinac Grbac, Tihana

Prezentacija

MIPRO 2015 Opatija, Hrvatska

2015.

Data Collection for Software Defect Prediction – an Exploratory Case Study of Open Source Software Projects

Mauša, Goran; Galinac Grbac, Tihana; Dalbelo Bašić, Bojana

Prezentacija

MIPRO 2015 Opatija, Hrvatska

2015.

Rotation Forest in Software Defect Prediction

Mauša, Goran; Bogunović, Nikola; Galinac Grbac, Tihana; Dalbelo Bašić, Bojana

Prezentacija

SQAMIA 2015 Maribor, Slovenija

2015.

Software Defect Classification with a Variant of NSGA-II and Simple Voting Strategies

Rubinić, E., Mauša, G., Galinac Grbac, T.

prezentacija

SSBSE2015 Graduate Student Track Bergamo, Italija

2014.

Software Defect Prediction with Bug-Code Analyzer - a Data Collection Tool Demo

Mauša, Goran; Galinac Grbac, Tihana; Dalbelo Bašić, Bojana

Poster

SoftCOM 2014 Split, Hrvatska

2013.

Stability of Software Defect Prediction in Relation to Levels of Data Imbalance

Galinac Grbac, Tihana; Mauša, Goran; Dalbelo Bašić, Bojana

Prezentacija

SQAMIA 2013 Novi Sad, Srbija

2013.

Hill Climbing and Simulated Annealing in Large Scale Next Release Problem

Mauša, Goran; Galinac Grbac, Tihana; Dalbelo Bašić, Bojana; Pavčević, Mario-Osvin

Prezentacija

EuroCon 2013 Zagreb, Hrvatska

2012.

Multivariate Logistic Regression Prediction of Fault-Proneness in Software Modules

Mauša, Goran; Galinac Grbac, Tihana; Dalbelo Bašić, Bojana

Prezentacija

MIPRO 2012 Opatija, Hrvatska

2012.

Overview of search-based optimization algorithms used in software engineering

Mauša, Goran; Galinac Grbac, Tihana; Dalbelo Bašić, Bojana

Prezentacija

IN-TECH 2012 Rijeka, Hrvatska

22.09.2022. - 24.09.2022.

SoftCOM 2022 - PhD Forum

Split, Hrvatska Član organizacijskog i programskog odbora

04.07.2022. - 08.07.2022.

SusTrainable 2022 summer school

Rijeka, Hrvatska Voditelj organizacije i član programskog odbora

13.06.2022. - 17.06.2022.

ICT4S 2022

Plovdiv, Bugarska Član organizacijskog odbora

30.06.2021. - 02.07.2021.

ConTEL 2021 - PhD Forum

Zagreb, Hrvatska Član organizacijskog i programskog odbora

31.5.2021.

SEGIS 2021

online Član znanstvenog odbora

17.09.2020. - 19.09.2020.

SoftCOM 2020 - PhD Forum

Hvar, Hrvatska Član organizacijskog i programskog odbora

22.09.2019. - 25.09.2019.

SQAMIA 2019

Ohrid, Makedonija Član programskog odbora

19.09.2019. - 21.09.2019.

SoftCOM 2019 - PhD Forum

Split, Hrvatska Član organizacijskog i programskog odbora

08.09.2019. - 11.09.2019.

ADBIS 2019

Bled, Slovenija Član programskog odbora

10.10.2018. - 12.10.2018.

SST 2018 - PhD Forum

Osijek, Hrvatska Član organizacijskog i programskog odbora

27.08.2018. - 30.08.2018.

SQAMIA 2018

Novi Sad, Srbija Član programskog odbora

11.09.2017. - 13.09.2017.

SQAMIA 2017

Beograd, Srbija Član programskog odbora

28.06.2017. - 30.06.2017.

ConTEL 2017 - PhD Forum

Zagreb, Hrvatska Član organizacijskog i programskog odbora

22.09.2016. - 24.09.2016.

SoftCOM 2016 - PhD Forum

Split, Hrvatska Član organizacijskog i programskog odbora

19.09.2014. - 22.09.2014.

SQAMIA 2014

Lovran, Hrvatska Organizacijski voditelj

2020. - 2022.

Engineering Review

http://er.riteh.hr/index.php/ER

2024. - 2025.

Artificial Intelligence for Gene Expression Prediction

Voditelj

Sveučilište u Rijeci (UNIRI-INOVA) 7,000 €

2022. - 2023.

Development of advanced rehabilitation device by using machine learning approach

Istraživač suradnik

Sveučilište u Rijeci (UNIRI-INOVA)

2020. - 2025.

DESHPET - Design of short catalytic peptides and peptide assemblies (grant no. UIP-2019-04-7999)

Istraživač suradnik

HRZZ 2,000,000

2020. - 2024.

CERCIRAS - Connecting education and research communities for an innovative resource aware society (grant no. CA19135)

Član upravnog odbora

COST akcija 600,000 €

https://www.cost.eu/actions/CA19135/

2020. - 2024.

RELYSOFT - Reliable and Safe Complex Software Systems: From Empirical Principles to Theoretical Models in View of Industrial Applications (grant no. IP-2019-04-4216)

Istraživač suradnik

HRZZ

2020. - 2023.

Applying Machine Learning for the Discovery of Peptides with Catalytic Activity (grant no. uniri-pr-tehnic-19-10)

Voditelj

UNIRI+ 38,000

2020. - 2023.

SUSTRAINABLE - Promoting Sustainability as a Fundamental Driver in Software development Training and Education (grant no. 2020-1-PT01-KA203-078646)

Lokalni koordinator

ERASMUS+

2020. - 2023.

KLIMOD - A computational model of flow, flooding and pollution dispersion in rivers and coastal marine areas (grant no. KK.05.1.1.02.0017)

Istraživač suradnik

European structural and investment funds

2020. - 2022.

EUROCC - National Competence Centres in the Framework of EuroHPC

Suradnik

European Horizon 2020

2020. - 2021.

μCroTrap - Sars-CoV-2 supramolecular mimetics for discovery of peptides that induce viral entrapment

Zamjenik voditelja

UNIRI

18.07.2018. -

Adaptacija više-ciljnog genetskog programiranja za rješavanje složenih kombinatornih problema

Voditelj

UNIRI 28.000

2018. - 31.12.2019.

Empirijska usporedba pristupa temeljenih na strojnom učenju za otkrivanje problematičnog programskog koda (voditelji Tihana Galinac Grbac i Marjan Heričko)

istraživač suradnik

Ministarstvo znanosti i obrazovanja

https://mzo.hr/sites/default/files/dokumenti/2018/MEdunarodna-suradnja/Bilateralna/Slovenija/hr_slo_2018_2019-odobreni_projekti.pdf

01.09.2017. - 31.08.2019.

Focusing Education on Composability, Comprehensibility and Correctness of Working Software

Voditelj (od listopada 2018.)

ERASMUS+ 267,470 € (22,880 € partnerskoj instituciji Riteh)

https://ec.europa.eu/programmes/erasmus-plus/projects/eplus-project-details/#project/2017-1-SK01-KA203-035402

01.07.2015. - 31.10.2018.

Programski sustavi u evoluciji: analiza i inovativni pristupi pametnom upravljanju (EVOSOFT, broj UIP-2014-09-7945)

istraživač suradnik

HRZZ 594.300,00 Kn

http://www.hrzz.hr/default.aspx?id=78&pid=7945&rok=2014-09

2013. - 2018.

Analiza i inovativni pristupi razvoju, upravljanju i primjeni kompleksnih softverskih sustava (voditelj: izv. prof. dr. sc. Tihana Galinac Grbac)

istraživač suradnik

Zaklada Sveučilišta u Rijeci

2013.

Noć istraživača (eng. Researcher's Night: One night, 300 European cities)

sudionik

Europska Komisija

2010. - 2015.

Optimizacija i dizajn vremensko-frekvencijskih distribucija (voditelj Viktor Sučić, broj 069-0362214-1575)

znanstveni novak

Ministarstvo znanosti, obrazovanja i sporta