PhD Tome Eftimov

PhD Tome Eftimov
no.: 50854 source: ARIS

researcher – active in research organisation
Research activity

Code Science Field Subfield
2.07.01  Engineering sciences and technologies  Computer science and informatics  Computer structures, systems and networks - software 
1.01.06  Natural sciences and mathematics  Mathematics  Probability and statistics 

Code Science Field
P170  Natural sciences and mathematics  Computer science, numerical analysis, systems, control 
P176  Natural sciences and mathematics  Artificial intelligence 
P160  Natural sciences and mathematics  Statistics, operations research, programming, actuarial mathematics 
Statistical data analysis, natural language processing, machine learning, metaheuristics, information theory
Bibliography Representative bibliographic units | Personal| COBISS+
source: COBISS
source: SICRIS
Data for the last 5 years (citations for the last 10 years) on June 15, 2024; A3 for period 2018-2022 (update for tender in 2023: YES)
Data for ARIS tenders ( 21.05.2024 – Target research programmes, archive )
Database Linked records Citations Pure citations Average pure citations
WoS 87  815  664  7.63 
Scopus 106  1,251  984  9.28 
Doctoral dissertations and other final papers Show
Obtaining results now
source: COBISS
source: ARIS
Type of employment Research org. Research group
Full time employment (100%, RD:100%)  Jožef Stefan Institute  Computer Systems Department 
Research projects Legend
source: ARIS
ARIS research and infrastructure programmes Legend
source: ARIS
no. Code Title Period Head No. of publications
1. P2-0098  Computer Structures and Systems   2019 - 2024  PhD Gregor Papa  2,173 
2. P2-0098  Computer Structures and Systems   2018  PhD Gregor Papa  2,531 
Tome Eftimov is a senior researcher at the Computer Systems Department at the Jožef Stefan Institute. He is a visiting assistant professor at the Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje. He was a postdoctoral research fellow at Stanford University, USA, where he investigated biomedical relations outcomes by using AI methods. In addition, he was a research associate at the University of California, San Francisco, investigating AI methods for information extraction from electronic health records. He obtained his PhD in Information and Communication Technologies (2018). His research interests include statistical data analysis, metaheuristics, natural language processing, representation learning, meta-learning, and machine learning. He has presented his work as 81 conference articles, 50 journal articles, and one Springer book published 2022. He was selected in Stanford University's top 2% of influential scientists worldwide in all disciplines for AI contributions for 2022. The work related to Deep Statistical Comparison was presented as a tutorial (i.e. IJCCI 2018, IEEE SSCI 2019, GECCO 2020, 2021, 2022, 2024, PPSN 2020, 2022, IEEE CEC 2021, 2022, 2023) or as an invited lecture to several international conferences and universities. He is an organizer of several workshops related to AI at high-ranked international conferences. He is an Editor in Evolutionary Computation Journal and Associate Editor in Expert Systems with Applications He is involved in both national and European projects. Currently, he is coordinating bilateral projects with Sorbonne University, France (algorithm selection and configuration), Leibniz University Hannover, Germany (fair benchmarking for dynamic algorithm configuration), and the University of Banja Luka, Bosnia and Herzegovina (theoretical and machine learning approaches for graph data). He has previously coordinated national projects on representation learning for stochastic optimization algorithms (2022-2024) and robust statistical analysis for single-objective optimization (2019-2021), as well as an EFSA-funded project on natural language processing for food science (2021-2022).
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