2026 Angshul Majumdar: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	44	7652	7431	82	81	371	6993

Overview

Angshul Majumdar is affiliated with the Indraprastha Institute of Information Technology Delhi in India. Their research spans multiple fields predominantly within computer science and engineering. The primary areas of focus include computer vision and pattern recognition, molecular biology, artificial intelligence, signal processing, and electrical and electronic engineering.

The scientist's work covers several intricate topics, notably computational drug discovery methods, sparse and compressive sensing techniques, bioinformatics and genomic networks, face and expression recognition, remote-sensing image classification, stock market forecasting methods, as well as domain adaptation and few-shot learning.

Among recent scholarly contributions, the following publications are representative:

Gene expression based inference of cancer drug sensitivity, 2022, Nature Communications
Blind Kalman Filtering for Short-Term Load Forecasting, 2020, IEEE Transactions on Power Systems
Drug-target interaction prediction using Multi Graph Regularized Nuclear Norm Minimization, 2020, PLoS ONE
Multi-label LSTM autoencoder for non-intrusive appliance load monitoring, 2021, Electric Power Systems Research
A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials, 2021, Scientific Reports

Frequent collaborators with whom Angshul Majumdar has co-authored multiple papers include:

Émilie Chouzenoux
Kriti Kumar
Giovanni Chierchia
Anurag Goel
Aanchal Mongia

The scientist has published extensively in several research venues, including:

arXiv (Cornell University)
IEEE Sensors Letters
bioRxiv (Cold Spring Harbor Laboratory)
Signal Processing
Neurocomputing

Angshul Majumdar's contributions reflect a broad interdisciplinary approach that integrates aspects of computer science and engineering with applications in biology and signal processing. Their publications and collaborations indicate active engagement with diverse research communities and topics.

Best Publications

Hyperspectral Image Denoising Using Spatio-Spectral Total Variation

Hemant Kumar Aggarwal;Angshul Majumdar

258
Citations
Deep dictionary learning

Snigdha Tariyal;Angshul Majumdar;Richa Singh;Mayank Vatsa

182
Citations
AutoImpute: Autoencoder based imputation of single-cell RNA-seq data.

Divyanshu Talwar;Aanchal Mongia;Debarka Sengupta;Angshul Majumdar

176
Citations
Detecting Silicone Mask-Based Presentation Attack via Deep Dictionary Learning

Ishan Manjani;Snigdha Tariyal;Mayank Vatsa;Richa Singh

174
Citations
Deep Sparse Coding for Non–Intrusive Load Monitoring

Shikha Singh;Angshul Majumdar

160
Citations
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals

Anupriya Gogna;Angshul Majumdar;Rabab Ward

148
Citations
Gene expression based inference of cancer drug sensitivity

Unknown

140
Citations
Face recognition by curvelet based feature extraction

Tanaya Mandal;Angshul Majumdar;Q. M. Jonathan Wu

133
Citations
Bangla Basic Character Recognition Using Digital Curvelet Transform

Angshul Majumdar

127
Citations
Hierarchical Representation Learning for Kinship Verification

Naman Kohli;Mayank Vatsa;Richa Singh;Afzel Noore

126
Citations
Compressed sensing of color images

Angshul Majumdar;Rabab K. Ward

126
Citations
An algorithm for sparse MRI reconstruction by Schatten p-norm minimization

Angshul Majumdar;Rabab K. Ward

124
Citations
Blind Denoising Autoencoder

Angshul Majumdar

105
Citations
Classification via group sparsity promoting regularization

A. Majumdar;R. K. Ward

104
Citations
Simultaneous Detection of Multiple Appliances From Smart-Meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning

Vanika Singhal;Jyoti Maggu;Angshul Majumdar

102
Citations
Blind Kalman Filtering for Short-Term Load Forecasting

Shalini Sharma;Angshul Majumdar;Victor Elvira;Emilie Chouzenoux

100
Citations
Fast group sparse classification

A Majumdar;R K Ward

98
Citations
Some empirical advances in matrix completion

A. Majumdar;R.K. Ward

97
Citations
Compressed Sensing Based Real-Time Dynamic MRI Reconstruction

A. Majumdar;R. K. Ward;T. Aboulnasr

92
Citations
RODEO: Robust DE-aliasing autoencOder for real-time medical image reconstruction

Janki Mehta;Angshul Majumdar

85
Citations
Accelerating multi-echo T2 weighted MR imaging: analysis prior group-sparse optimization.

Angshul Majumdar;Rabab K. Ward

77
Citations
Fast Group Sparse Classification

A. Majumdar;R. K. Ward

19
Citations

Frequent Co-Authors

Rabab K. Ward University of British Columbia

Richa Singh Indian Institute of Technology Jodhpur

Mayank Vatsa Indian Institute of Technology Jodhpur

Afzel Noore Texas A&M University – Kingsville

Bidyut B. Chaudhuri Indian Statistical Institute

Rajeev Ranjan Indian Institute of Science

Colleen C. Nelson Queensland University of Technology

Q. M. Jonathan Wu University of Windsor

Ajay Kumar Hong Kong Polytechnic University

External Links

Personal website of Angshul Majumdar Google Scholar page

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