Sanjay Chakraborty

Sanjay Chakraborty

Postdoc Researcher
Linköping University · AIICS · ReAL Lab
Time Series ForecastingMaterials InformaticsCausal AIDeep Learning

About

Sanjay Chakraborty is a postdoctoral researcher working on time series forecasting with transformers, intervention-aware causal modelling (AAAI 2026 with Heintz and Tiger), and AI-supported materials informatics. His recent survey on AI in materials science appeared in Computer Science Review (2026), and his work on scaling transformers for forecasting in Artificial Intelligence Review (2026). Nearly 2,000 citations on Google Scholar. Previously Associate Professor at TINT Kolkata.

Publications 5

2026
Journal
Scaling transformers for time series forecasting: do pretrained large models outperform small-scale alternatives?
Sanjay Chakraborty, Ibrahim Delibasoglu, Fredrik Heintz
Artificial Intelligence Review 59:62
Journal
A survey of AI-supported materials informatics
Sanjay Chakraborty, Jonas Björk, Martin Dahlqvist, Johanna Rosén, Fredrik Heintz
Computer Science Review 59:100845
2025
Journal
Supervised learning approaches for predicting Ebola-Human Protein-Protein interactions
Lopamudra Dey, Sanjay Chakraborty
Gene 942:149228
Journal
Deep learning inspired game-based cognitive assessment for early dementia detection
Paramita Kundu Maji, Soubhik Acharya, Priti Paul, Sanjay Chakraborty, Saikat Basu
Engineering applications of artificial intelligence 142:109901
Journal
Deep Learning and X-Ray Imaging Innovations for Pneumonia Infection Diagnosis: Introducing DeepPneuNet
Sanjay Chakraborty, Tirthajyoti Nag, Saroj Kumar Pandey, Jayasree Ghosh, Lopamudra Dey
Computational intelligence 41:e70029
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