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Swarnendu Ghosh

Swarnendu Ghosh
no.: 61988 source: ARIS

expert or technical associate – active in research organisation
  Swarnendu.ghoshat signfri.uni-lj.si
Foreign language skills
Research activity

Code Science Field
P175  Natural sciences and mathematics  Informatics, systems theory 
P176  Natural sciences and mathematics  Artificial intelligence 
P170  Natural sciences and mathematics  Computer science, numerical analysis, systems, control 
T120  Technological sciences  Systems engineering, computer technology 
Keywords
Neural Networks, Deep Learning, Reinforcement Learning, Knowledge Graphs, Large Language Models
Bibliography Representative bibliographic units | Personal | COBISS+
source: COBISS
source: SICRIS
Data for ARIS tenders ( 21.05.2024 – Target research programmes, archive )
Database Linked records Citations Pure citations Average pure citations
WoS 15  480  467  31.13 
Scopus 26  734  713  27.42 
Doctoral dissertations and other final papers Show
Obtaining results now
source: COBISS
Employments
source: ARIS
Type of employment Research org. Research group Date of employment Position Role Title
Full time employment (100%, RD:100%)  University of Ljubljana, Faculty of Computer and Information Science  Laboratory for Computer Structures, Systems and Networks  11/5/2025    Junior expert or technical associate   
Biography
Researcher in computer vision, deep learning, and autonomous systems, currently a SMASH MSCA Postdoctoral Fellow at the Faculty of Computer and Information Science, University of Ljubljana. Holds over a decade of experience spanning academic research and university teaching, including a prior appointment as Associate Professor at the Institute of Engineering and Management, Kolkata. Work spans image segmentation, scene understanding, graph-based learning, and reinforcement learning for autonomous driving, with outputs including journal articles in ACM Computing Surveys, Pattern Recognition, and Future Internet, co-authored books with Academic Press, and an active patent. Author of over 35 peer-reviewed publications with more than 1,300 citations.
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