Prof Sanghamitra Bandyopadhyay
Officiating Director
| Machine Intelligence Unit (MIU)
Indian Statistical Institute, Kolkata
(2025)
West Bengal
Expertise:
Multidisciplinary Engineering
55
Publications
0
Projects
176
Scopus Citations
271
CrossRef
15 Years 5 Months Total Experience
Scopus
176
Citations
6
h-index
CrossRef
271
Citations
8
h-index
Google Scholar
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Professional Recognition
Fellowship
2010
National Academy of Sciences, Allahabad
Fellowship
2012
Indian National Academy of Engineering (INAE)
Fellowship
West Bengal Academy of Science and Technology
Swarnajayanti Fellowship
The Department of Science and Technology (DST)
Humboldt Fellowship
2009
Alexander von Humboldt-Foundation
Third World Academy of Science Prize
2018
World Academy of Science
InfoSys Prize
2017
InfoSys
Community & Membership
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Institution of Electronics and Telecommunication Engineers
MemberPersonal Details
Doctor of Philosophy
1998
Mangalore University, Mangalore
Officiating Director
Oct 2025 – Dec 2025
Indian Statistical Institute, Kolkata
| Machine Intelligence Unit (MIU)
Director
Aug 2015 – Sep 2025
Indian Statistical Institute, Kolkata
Professor (HAG)
Jul 2014 – Jul 2015
Indian Statistical Institute, Kolkata
| Machine Intelligence Unit (MIU)
Professor
Aug 2010 – Aug 2015
Indian Statistical Institute, Kolkata
Engineering and Technology
Scholarly Work
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Mining Co-expression Networks: Applications to MicroRNA Regulation and Disease Analysis
Ligand design and virtual screening using metaheuristic algorithms: Applications to Mycobacterium tuberculosis
Single and Multiobjective Approaches to Clustering with Point Symmetry
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Scholarly Publications
IV-GNN : interval valued data handling using graph neural network
A scalable unsupervised learning of scRNAseq data detects rare cells through integration of structure-preserving embedding, clustering and outlier detection
SURVEY ON MULTI-OBJECTIVE-BASED PARAMETER OPTIMIZATION FOR DEEP LEARNING
Open AccessSoURA: a user-reliability-aware social recommendation system based on graph neural network
Multiobjective Optimization Algorithms for Bioinformatics
Open AccessAdverse Drug Event Prediction with a Multi-Layer Heterogeneous Graph Neural Network Architecture
CateReR: A Graph Neural Network-Based Model for Category-Wise Reliability-Aware Recommendation
Graphon-Explainer: Generating Model-Level Explanations for Graph Neural Networks using Graphons
Scopus: 4
Showing 1 to 8 of 55 publications