Iman Dehzangi
Scholar

Iman Dehzangi

Google Scholar ID: RkamSRYAAAAJ
Assistant Professor at the Department of Computer Science, Rutgers University
Computational BiologyBioinformaticsPattern RecognitionMachine learningArtificial Intelligence
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
3,877
 
H-index
28
 
i10-index
73
 
Publications
20
 
Co-authors
38
list available
Contact
Emaili.dehzangi@rutgers.edu
Publications
2 items
ROIsGAN: A Region Guided Generative Adversarial Framework for Murine Hippocampal Subregion Segmentation
2025
Cited
0
Edge-Based Learning for Improved Classification Under Adversarial Noise
2025
Cited
0
Resume (English only)
Research Experience
  • Extensive research experience in areas such as protein local and global structure prediction, genome variants analysis, cancer subtype classification, etc.
Background
  • Research interests include machine learning, artificial intelligence, and bioinformatics & computational biology. Focuses on solving important problems in bioinformatics and computational biology.
Miscellany
  • Contact: Phone (856) 225-6699; Email i.dehzangi@rutgers.edu
Co-authors
38 total
Co-author 1
Co-author 1
Abdul Sattar
Abdul Sattar
Professor of Computer Science and Artificial Intelliegnce, Griffith University
Co-author 3
Co-author 3
Co-author 4
Co-author 4
Swakkhar Shatabda
Swakkhar Shatabda
Professor, School of Data and Sciences, BRAC University
Tatsuhiko Tsunoda
Tatsuhiko Tsunoda
Professor, The University of Tokyo
Co-author 7
Co-author 7
Hamid Alinejad-Rokny
Hamid Alinejad-Rokny
ARC DECRA & UNSW Scientia Fellow, Head of BioMedical Machine Learning Lab