Sitemap

A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

A Comparative Analysis for the Detection of COVID-19 from Chest X-ray Dataset

Published in International Conference on Recent Progresses in Science, Engineering and Technology, 2022

We compare multiple deep CNN architectures on a large chest X-ray dataset (COVIDx CXR-3) for COVID-19 detection, finding EfficientNet-B3 yields the best balance of accuracy and sensitivity.

Recommended citation: Anirban Saha Anik, Kowshik Chakraborty, Bishowjit Datta, Abdul Kader, MD. Kishor Morol. "A Comparative Analysis for the Detection of COVID-19 from Chest X-ray Dataset." International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET 2022). DOI: 10.1109/ICRPSET57982.2022.10188570.
Download Paper | Download Bibtex

A Study on Future Lockdown Predictions Using ANN

Published in International Conference on Next-Generation Computing, IoT and Machine Learning, 2023

We use modified artificial neural networks to predict future lockdown timings based on epidemiological and socio-economic features, achieving high accuracy on a curated pandemic dataset.

Recommended citation: Shuvra Smaran Das, Anirban Saha Anik, Md. Muzakker Hossain, Md. Kishor Morol, Fariha Jahan, Md. Abdullah Al-Jubair. "A Study on Future Lockdown Predictions Using ANN." International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM 2023). DOI: 10.1109/NCIM59001.2023.10212686.
Download Paper | Download Bibtex

Outcome-Based Education: Evaluating Students’ Perspectives Using Transformer

Published in 27th International Conference on Computer and Information Technology, 2024

We apply transformer-based NLP to analyze student feedback and sentiment to assess Outcome-Based Education (OBE) effectiveness and surface actionable insights for improving educational outcomes.

Recommended citation: Das, Shuvra Smaran and Anik, Anirban Saha and Morol, Md Kishor and Mahmood, Mohammad Sakib. "Outcome-Based Education: Evaluating Students Perspectives Using Transformer." 2024 27th International Conference on Computer and Information Technology (ICCIT).
Download Paper | Download Bibtex

Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation

Published in Second Conference on Language Modeling, 2025

We propose a multi-agent retrieval-augmented framework that orchestrates specialized LLM agents for evidence retrieval, summarization, generation, and refinement to produce evidence-based counterspeech that outperforms RAG baselines.

Recommended citation: Anirban Saha Anik, Xiaoying Song, Elliott Wang, Bryan Wang, Bengisu Yarimbas, Lingzi Hong. (2025). "Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation." Conference on Language Models (COLM 2025).
Download Paper | Download Bibtex

Published in , 1900

A Hybrid Attention-Guided Fusion Network with Grad-CAM for MPox Skin Lesion Classification

Published in 2025 IEEE 4th International Conference on Computing and Machine Intelligence (ICMI), 2025

We introduce a hybrid attention-guided fusion network with Grad-CAM for interpretable and accurate MPox skin lesion classification, demonstrating high diagnostic performance on a curated dataset.

Recommended citation: M. Arman, N. Prottush, M. A. Rusho, A. Datta, Anirban Saha Anik, D. M. Dohan, M. A. U. I. Sajid, I. A. Sheikh, and M. K. Jahna. "A Hybrid Attention-Guided Fusion Network with Grad-CAM for MPox Skin Lesion Classification." 2025 IEEE 4th International Conference on Computing and Machine Intelligence (ICMI).
Download Paper | Download Bibtex

Dynamic Fusion of Large Language Models for Crisis Communication

Published in International Conference on Information Systems for Crisis Response and Management, 2025

We propose a dynamic fusion approach that integrates multiple LLMs and retrieval to generate timely, professional, and actionable crisis responses for social media contexts.

Recommended citation: Hong, L., Song, X., Saha Anik, A., Frias-Martinez, V. (2025). "Dynamic Fusion of Large Language Models for Crisis Communication." Proceedings of the International ISCRAM Conference.
Download Paper | Download Bibtex

A Dynamic Fusion Model for Consistent Crisis Response

Published in The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025 Findings), 2025

We introduce a dynamic fusion framework that combines multiple LLMs and retrieval to produce consistent, professional, and actionable crisis responses, and propose a consistency metric to measure stylistic stability across outputs.

Recommended citation: Song, Xiaoying, Anirban Saha Anik, Eduardo Blanco, Vanessa Frias-Martinez, and Lingzi Hong. "A Dynamic Fusion Model for Consistent Crisis Response." Findings of the Association for Computational Linguistics: EMNLP 2025.
Download Paper | Download Bibtex

ClaimIQ at CheckThat! 2025: Comparing Prompted and Fine-Tuned Language Models for Verifying Numerical Claims

Published in Working Notes of the Conference and Labs of the Evaluation Forum, 2025

We compare prompted and fine-tuned language models for verifying numerical claims in the CheckThat! Lab Task 3 challenge, exploring retrieval and model adaptation strategies to improve numerical claim verification performance.

Recommended citation: Anirban Saha Anik, Md Fahimul Kabir Chowdhury, Andrew Wyckoff, Sagnik Ray Choudhury. "ClaimIQ at CheckThat! 2025: Comparing Prompted and Fine-Tuned Language Models for Verifying Numerical Claims." Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2025).
Download Paper | Download Bibtex

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.