Personal data

Date of birth:  25/07/1989

Place of birth:  Bačka Topola, Serbia

Education

Bachelor studies:  Information technologies, Faculty of Sciences, University of Novi Sad, 2011

Master studies:  Information technologies, Faculty of Sciences, University of Novi Sad, 2013

PhD studies:  Computer science, Faculty of Sciences, University of Novi Sad, 2022

Position

Assistant professor:  from 2023

Teaching and reseach assistant:  from 2013 to 2023

Languages

Serbian  , mother tongue

Hungarian  , mother tongue

Rusin  , mother tongue

English  , fluent

Skills and technlogies:

Main programming languages: Java, Python, C, C++, JavaScript, TypeScript, SQL...

Databases: MySql, Oracle Database, PostgreSQL, MongoDB, Neo4J...

Frameworks: Angular, Spring, Bootstrap, Hibernate, JPA...

Parallel application development: MPI, OpenMP, COMPSs...

Other tools: HTML, CSS, UML, WordPress...

Additional experiences:

Working on H2020 projects

Website and webapp development

Currently teaching

High performance computing

Learn the principles of parallel application development, by using MPI and get familiar with parallel architectures. For relevant course information, please visit our Moodle learning platform(only for enrolled students).

Component based development

Learn the basics of component based development, and start building microservices. For relevant course information, please visit our Moodle learning platform(only for enrolled students).

Teaching experience:

Information systems modelling, Information systems development, NoSql databases, Databases 1, Databses 2, Advanced programming, Information systems development process...

My research interests are mainly oriented towards high performance computing, distributed optimization and machine learning.

Relevant publications:

Fodor, L., Jakovetić, D., Boberić Krstićev, D. et al. A parallel ADMM-based convex clustering method. EURASIP J. Adv. Signal Process. 2022, 108 (2022). https://doi.org/10.1186/s13634-022-00942-8

Fodor, L., Jakovetić, D., Krejić, N. et al. Performance evaluation and analysis of distributed multi-agent optimization algorithms with sparsified directed communication. EURASIP J. Adv. Signal Process. 2021, 25 (2021). https://doi.org/10.1186/s13634-021-00736-4

A. Alexopoulos et al. Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case. In: Curry, E., Auer, S., Berre, A.J., Metzger, A., Perez, M.S., Zillner, S. (eds) Technologies and Applications for Big Data Value . Springer, Cham. (2022) https://doi.org/10.1007/978-3-030-78307-5_13

I. Arapakis et al, “Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications”, 2019 IEEE SERVICES Symposium on Services Computing, Milan, Italy, pp. 392-393, (2019) https://doi.org/10.1109/SERVICES. 2019.0012

Conference papers:

Fodor, L., Jakovetić, D., Krejić, N., Malaspina, G. A Distributed Inexact Levenberg Marquartd Method for Nonlinear Least Squares. ECMI 2023 minisymposia

Lidija Fodor, Srđan Škrbić, Danijela Tešendić, Vladimir Kurbalija, Performing hierarchical clustering on distance matrices in OptiML, In Proceedings of the World Congress on Еngineering 2017 (WCE 2017), July 5-7, 2017, London, U.K.

Lidija Fodor, Srđan Škrbić, A performance analysis of the R language and an assessment of the capabilities for its improvement, In Proceedings of the 5th International conference on Information Society and Technology, pp. 449-454, 2015, Kopaonik, Serbia

Vladimir Kurbalija, Charlotte von Bernstorff, Hans-Dieter Burkhard, Jens Nachtwei, Mirjana Ivanović, Time Series mining in a psychological domain, In proceedings of the Fifth Balkan Conference in Informatics, pp. 58-63, 2012, Novi Sad, DOI=10.1145/2371316.2371328

Visit my office

Faculty of Sciences, University of Novi Sad

Trg Dositeja Obradovica 4, 21000 Novi Sad, Serbia

Office no 50, 2nd floor

Contact phone

+381-21-485-2873

lidija.fodor@dmi.uns.ac.rs