Chayan Maitra

Tagline:

Kolkata, West Bengal, India

About Me

Researcher in Artificial Intelligence with a strong foundation in Machine Learning, Deep Learning, Data Science, and Statistical Modeling. Experienced in developing deep learning architectures and data-driven frameworks, with recognized contributions, such as G-NeuroDAVIS, featured at the NASSCOM Agentic AI Confluence, 2025. Qualified multiple national-level competitive examinations (CSIR-UGC NET-JRF, GATE) and actively engaged in continuous upskilling through certified programs, including NPTEL. Interested in translating advanced AI research into scalable, real-world solutions.

Education

Ph.D.
from: 2020, until: present
Field of study:Computer ScienceSchool:Indian Statistical InstituteLocation:Dunlop, Kolkata
Description
Thesis title: Holistic Data Visualization using Neural Networks
M.Sc.
from: 2016, until: 2018
Field of study:Applied MathematicsSchool:University of CalcuttaLocation:Razabazar, Kolkata
B.Sc.
from: 2012, until: 2015
Field of study:MathematicsSchool:Vidyasagar College, University of CalcuttaLocation:Kolkata

Honors & Awards

Travel Grant
date: 2023-12-01
Issuer:Indian Statistical Institute
Student Travel Award
date: 2023-11-23
Issuer:IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023.
ISI-SRF
date: 2022-12-01
Issuer:Indian Statistical Institute
ISI JRF
date: 2020-12-01
Issuer:Indian Statistical Institute
Joint CSIR-UGC NET (JRF)
date: 2018-07-01
Issuer:CSIR

Research Interests

Machine learning
Deep learning

Publications

G-NeuroDAVIS: A generative model for data visualization through a generalized embedding
Journal ArticlePublisher:Neural NetworksDate:2026
Authors:
Chayan MaitraRajat K. De
DOI
NeuroMDAVIS: Visualization of Single-Cell Multi-Omics Data under Deep Learning Framework
Journal ArticlePublisher:Journal of Computational BiologyDate:2026
Authors:
Chayan MaitraDibyendu B. SealVivek DasRajat K. De
DOI
Multi-Omics Integration for Identification of Prognostic Molecular Signatures for Survival Stratification in Lung Cancer
DocumentPublisher:openRxivDate:2026
Authors:
Chayan MaitraVivek DasDibyendu B. SealRajat K. De
DOI
NeuroDAVIS: A neural network model for data visualization
Journal ArticlePublisher:NeurocomputingDate:2024
Authors:
Chayan MaitraDibyendu B. SealRajat K. De
DOI
NeuroDAVIS-FS: Feature Selection Through Visualization Using NeuroDAVIS
Book ChapterPublisher:Lecture Notes in Computer ScienceDate:2024
Authors:
Chayan MaitraAnwesha SenguptaRajat K. De
DOI
UMINT-FS: UMINT-guided Feature Selection for multi-omics datasets
Conference PaperPublisher:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)Date:2023
Authors:
Chayan MaitraDibyendu B. SealVivek DasYevgeniy VorobeychikRajat K. De
DOI
Unsupervised neural network for single cell Multi-omics INTegration (UMINT): an application to health and disease
Journal ArticlePublisher:Frontiers in Molecular BiosciencesDate:2023
Authors:
Chayan MaitraDibyendu B. SealVivek DasRajat K. De
DOI

Talks

UMINT-FS
Date: Dec 2023
Event name: IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. .Location: Istanbul, Turkey .

Teachings

Neural Networks
From: 2025, Until: 2026
Organization:Indian Statistical Institute, KolkataField:Deep Learning
Description:
Assisted Prof. Rajat K. De in teaching Neural Networks to M.Tech. Computer Science students.
Computing for Data Sciences
From: 2022, Until: 2023
Organization:Indian Statistical Institute, KolkataField:Data Science
Description:
Assisted Prof. Dipti Prasad Mukherjee in teaching Computing for Data Sciences to PGDBA students.