Akshat Dubey
Scholar

Akshat Dubey

Google Scholar ID: wyRFws0AAAAJ
Research Associate at Robert Koch Institute, Berlin and PhD at Freie Universität, Berlin, Germany
AI RegulationsExplainable AIHuman-Centered AIDeep LearningNLP
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
82
 
H-index
5
 
i10-index
2
 
Publications
11
 
Co-authors
12
list available
Contact
Emaildubeyakshat07@gmail.comGitHubOpen ↗LinkedInOpen ↗
Publications
4 items
UbiQVision: Quantifying Uncertainty in XAI for Image Recognition
2025
Cited
0
PepTriX: A Framework for Explainable Peptide Analysis through Protein Language Models
2025
Cited
0
UbiQTree: Uncertainty Quantification in XAI with Tree Ensembles
2025
Cited
0
PHAX: A Structured Argumentation Framework for User-Centered Explainable AI in Public Health and Biomedical Sciences
2025
Cited
0
Resume (English only)
Academic Achievements
  • National Winner of EXL-EQ 2022 Competition.
Research Experience
  • Research Associate at Robert Koch Institute, Berlin, Germany.
Education
  • PhD Student in Computer Science at Freie Universität Berlin; Former Research Assistant at Toronto Metropolitan University (formerly Ryerson University).
Background
  • Research Interests: Deep Learning, Machine Learning, XAI, Healthcare.
Co-authors
12 total
Georges Hattab
Georges Hattab
Adjunct Professor of Computer Science, Freie Universität Berlin, Robert Koch Institute
Zewen Yang
Zewen Yang
Technical University of Munich
Ash Dehghan PhD
Ash Dehghan PhD
Researcher, Toronto Metropolitan University
Pawel Pralat
Pawel Pralat
Toronto Metropolitan University
Bogumił Kamiński
Bogumił Kamiński
SGH Warsaw School of Economics
Aleksandar Anžel
Aleksandar Anžel
Postdoctoral Researcher at Robert Koch Institute
Xiaobing Dai
Xiaobing Dai
Technical University of Munich
Sandra Hirche
Sandra Hirche
Technical University of Munich