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Obtaining statistical data

PhD Tome Eftimov

PhD Tome Eftimov
no.: 50854 source: ARRS

researcher – active in research organisation
  • English
  • Reading: Fluent
  • Writing: Fluent
  • Speaking: Fluent
  • Macedonian
  • Reading: Fluent
  • Writing: Fluent
  • Speaking: Fluent
  • Spanish
  • Reading: Fluent
  • Writing: Basic
  • Speaking: Basic
  • Bulgarian
  • Reading: Functional
  • Writing: Functional
  • Speaking: Functional
  • German
  • Reading: Basic
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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 
Keywords
Statistical data analysis, natural language processing, machine learning, metaheuristics, information theory
Bibliography Representative bibliographic units | Personal| COBISS+
source: COBISS
source: SICRIS
Evaluation (rules)
Evaluation of bibliographic research performance indicators according to ARRS methodology
source: COBISS
source: ARRS
Points
2,089.17
A''
558.47
A'
1,306.9
A1/2
1,450.92
CI10
608
CImax
65
h10
14
A1
7.21
A3
2.27
Data for the last 5 years (citations for the last 10 years) on March 24, 2023; A3 for period 2017-2021 (update for tender in 2022: YES)
Data for ARRS tenders ( 28.02.2023 – Project tender, archive )
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Database Linked records Citations Pure citations Average pure citations
WoS 70  525  430  6.14 
Scopus 85  784  605  7.12 
Doctoral dissertations and other final papers Show
Obtaining results now
source: COBISS
Employments
source: ARRS
Type of employment Research org. Research group
Full time employment (100%, RD:100%)  Jožef Stefan Institute  Computer Systems Department 
Research projects Legend
source: ARRS
no. Code Title Period Head
1. J2-4460    10/1/2022 - 9/30/2025  PhD Peter Korošec  1,845 
2. N2-0239  Representation Learning of Landscape Spaces for Explainable Performance of Stochastic Optimization Algorithms   2/1/2022 - 1/31/2024  PhD Tome Eftimov  404 
3. L7-9424  Toponomastical heritage of Primorska Region   7/1/2018 - 6/30/2022  PhD Matjaž Bizjak  1,299 
4. Z2-1867  Mr-BEC: Modern approaches for Benchmarking in Evolutionary Computation   7/1/2019 - 6/30/2021  PhD Tome Eftimov  206 
5. L3-7538  The content of trans fats in foods and population intakes - public health implications   3/1/2016 - 2/28/2019  PhD Igor Pravst  5,566 
ARRS research and infrastructure programmes Legend
source: ARRS
no. Code Title Period Head
1. P2-0098  Computer Structures and Systems   1/1/2019 - 12/31/2024  PhD Gregor Papa  2,080 
2. P2-0098  Computer Structures and Systems   1/1/2015 - 12/31/2018  PhD Gregor Papa  2,448 
Biography
Tome Eftimov received his B.Sc. (Eng). degree in Electrical Engineering and Computer Science from the University of Ss. Cyril and Methodius, Skopje, Macedonia, in 2011. His bachelor thesis was entitled “R-Statistics”. After finishing his bachelor degree, he worked as a teaching and laboratory assistant in probability and statistics at the Faculty of Electrical Engineering and Information Technologies in Skopje, Macedonia. In 2012, he moved to the Macedonian Academy of Sciences and Arts, where he worked towards his master degree as a part of a DFG project, “Noncoherent communication”. His master thesis was entitled “Applications of random matrix theory to the derivations of the performance limits in wireless communication”. In 2013, he received his M.Sc. (Eng) degree in Electrical Engineering and Computer Science also from the University of Ss. Cyril and Methodius, Skopje, Macedonia. In January 2018, he finished his Ph.D. degree at Jožef Stefan International Postgraduate School. His thesis was entitled “Statistical data analysis and natural language processing for nutrition science”. From January 2019, he is a postdoctoral fellow at Stanford University. His research interests include statistics, heuristic optimization, natural language processing, machine learning, and information theory.
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