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Keywords

Computer vision, Explainable AI (XAI), Fairness AI, Image/Video analysis, Natural Language Processing, Artificial Intelligence, Responsible AI, Interdisciplinary Research, Deep Learning/Machine Learning, Large Language Models (LLM's)

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Employment (2)

Aalborg University: Aalborg, NorthJutland, DK

2021-12 to present | Assistant Professor (Department of Architecture and Media Technology)
Employment
Source: Self-asserted source
Satya M. Muddamsetty

AALBORG UNIVERSITY: Aalborg, NorthJutland, DK

2018-12 to 2021-07 | Postdoc in AI (Department of Media Technology, Architecture and Design (CREATE))
Employment
Source: Self-asserted source
Satya M. Muddamsetty

Education and qualifications (2)

University of Burgundy: Dijon, FR

2010-11-01 to 2014-07-07 | Doctor of Philiosphy (PhD) (Laboratory of Electronic, Image and informatique (LE2I))
Education
Source: Self-asserted source
Satya M. Muddamsetty

Blekinge Tekniska Högskola: Karlskrona, Blekinge, SE

2007-08 to 2009-10 | Master of Science in Electrical Engineering (Department of )
Education
Source: Self-asserted source
Satya M. Muddamsetty

Works (8)

Post-hoc XAI Method for Visual Question Answering (VQA)

2025 | Book chapter
DOI: 10.1007/978-981-97-8705-0_25
Contributors: Satya M. Muddamsetty; Alina B. Schmidt; Thomas B. Moeslund
Source: check_circle
Crossref

Danish Asylum Adjudication using Deep Neural Networks and Natural Language Processing

2023-11-24 | Conference paper
DOI: 10.31235/osf.io/md7us
Contributors: Satya M. Muddamsetty; Mohammad N. S. Jahromi; Thomas B. Moeslund; Thomas Gammeltoft-Hansen
Source: Self-asserted source
Satya M. Muddamsetty

Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) method

Pattern Recognition
2022-07 | Journal article
DOI: 10.1016/j.patcog.2022.108604
Contributors: Satya M. Muddamsetty; Mohammad N.S. Jahromi; Andreea E. Ciontos; Laura M. Fenoy; Thomas B. Moeslund
Source: check_circle
Crossref

Expert Level Evaluations for Explainable AI (XAI) Methods in the Medical Domain

2021 | Book chapter
DOI: 10.1007/978-3-030-68796-0_3
Contributors: Satya M. Muddamsetty; Mohammad N. S. Jahromi; Thomas B. Moeslund
Source: check_circle
Crossref

Multi-level Quality Assessment of Retinal Fundus Images using Deep Convolution Neural Networks

Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
2021 | Conference paper
DOI: 10.5220/0010250506610668
Contributors: Satya Muddamsetty; Thomas Moeslund
Source: Self-asserted source
Satya M. Muddamsetty

SIDU: Similarity Difference And Uniqueness Method for Explainable AI

2020 IEEE International Conference on Image Processing (ICIP)
2020-10 | Conference paper
DOI: 10.1109/icip40778.2020.9190952
Contributors: Satya M. Muddamsetty; N. S. Jahromi Mohammad; Thomas B. Moeslund
Source: Self-asserted source
Satya M. Muddamsetty

Multiple features extraction for timber defects detection and classification using SVM

2015 IEEE International Conference on Image Processing (ICIP)
2015-09 | Conference paper
DOI: 10.1109/icip.2015.7350834
Contributors: Mohamad Mazen Hittawe; Satya M. Muddamsetty; Desire Sidibe; Fabrice Meriaudeau
Source: Self-asserted source
Satya M. Muddamsetty

A performance evaluation of fusion techniques for spatio-temporal saliency detection in dynamic scenes

2013 IEEE International Conference on Image Processing
2013-09 | Conference paper
DOI: 10.1109/icip.2013.6738808
Contributors: Satya M. Muddamsetty; Desire Sidibe; Alain Tremeau; Fabrice Meriaudeau
Source: Self-asserted source
Satya M. Muddamsetty
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