Publications

Peer-reviewed journal articles, conference proceedings, and preprints in machine learning, bioinformatics, and computational biology.

Master Thesis
Master Thesis (Universität des Saarlandes) May 2023

Towards a Deep Learning Approach to Regularize Discourse of Collaborative Learner

Chowdhury, K. (2023). Center for Open Science — OSF Preprints.
DOI: 10.31237/osf.io/hjk4b View on OSF
Journal Articles
Journal Online 2026

Computational stratification and engineering translation of the pdcd1/cd2 immune axis in triple-negative breast cancer

Koushik Chowdhury. Clinical Cancer Bulletin (Springer Nature).
Online Visual Dashboard
Journal Under Review 2026

Multimodal Adversarial Sensitivity Maps as Biological Probes for Triple Negative Breast Cancer Characterization

Koushik Chowdhury.
Upon request
Journal Under Review 2026

bioconverge: A Python Library for Multi-Layer Biological Score Integration and Hypothesis Validation in Cancer Research

Koushik Chowdhury.
Upon request
IEEE Conferences
Conference 2024

Adversarial Machine Learning: Attacking and Safeguarding Image Datasets

Chowdhury, K. (2024). Proceedings of the 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS), Gobichettipalayam, India, pp. 1360–1365.
DOI: 10.1109/ICUIS64676.2024.10866337
Workshop 2024

Adversarial Vulnerabilities and Defenses in Social Emotion Recognition

Chowdhury, K., & Haydari, A. M. (2024). Proceedings of the 19th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP), Athens, Greece, pp. 92–97.
DOI: 10.1109/SMAP63474.2024.00026
Conference 2020

Predicting Autism Spectrum Disorder Using Machine Learning Classifiers

Chowdhury, K., & Iraj, M. A. (2020). Proceedings of the International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), Bangalore, India, pp. 324–327.
DOI: 10.1109/RTEICT49044.2020.9315717
Preprints
Preprint 2023

Sentiment Analysis in Twitter Challenge

Chowdhury, K., Biswas, E., & Hof, D. (2023). Zenodo Preprint, August 2023.
DOI: 10.5281/zenodo.15233598
Preprint 2019

Spam Identification on Facebook, Twitter and Email using Machine Learning

Chowdhury, K. (2019). CERES, 19.
Preprint 2020

Identification of Tumor Patients with Deep Learning Approaches Based on microRNAs Measured in Blood Samples

Chowdhury, K., Ritchie, H., & Yeh, H.-S. (2020). Machine Learning Seminar, Chair for Clinical Bioinformatics, Saarland University, Germany.
Preprint PDF