Research

Sushanta Paul

Researcher in AI for financial crime, customs fraud and trade-based money laundering. Joint Commissioner of Customs at the National Board of Revenue, Bangladesh, with fourteen years across trade, revenue administration and regulatory compliance. Author and speaker.

Research interests

  • Anti-money laundering
  • Trade-based money laundering
  • Customs fraud
  • Customs regulations
  • Trade facilitation and compliance
  • Fraud detection
  • Financial crimes investigations
  • Risk management
  • Statistical modeling
  • Machine learning
  • Deep learning
  • Graph neural networks
  • Natural language processing
  • Large language models
  • Explainable AI
  • Anomaly detection
  • Causal inference
  • Predictive analytics
  • Algorithmic accountability
  • AI governance
  • Public administration
  • Data analytics

Publications

Journal articles

Data and datasets

Conference papers

  • When the Regulator Cannot Read the Model: Technical Governance Capacity Gaps and AI Safety in Developing Countries
    IEEE International Conference on Responsible Artificial Intelligence (IRAI 2026), Melbourne, 2–5 September 2026 · Authors: Shoumya Chowdhury, Anmita Das, Sushanta Paul · Presentation certificate IRAI26-000306
  • Comparing Retrieval-Augmented Generation Configurations under Noisy Retrieval: A Taxonomic Review of Hallucination Behaviour
    IEEE International Conference on Responsible Artificial Intelligence (IRAI 2026), Melbourne, 2–5 September 2026 · Authors: Anmita Das, Shoumya Chowdhury, Sushanta Paul · Presentation certificate IRAI26-000308
  • BanglaGovRAG: A Retrieval-Augmented Generation Framework for Legal and Administrative Question Answering in Low-Resource Multilingual Settings
    3rd International Conference on Machine Intelligence and Emerging Technologies (MIET 2026), Noakhali Science and Technology University, 8–9 October 2026; proceedings in Springer, Lecture Notes in Networks and Systems · Authors: Shoumya Chowdhury, Anmita Das, Sushanta Paul · Presentation certificate, paper ID 5274

Accepted

  • A Noise-Stratified Benchmark for Auditable Retrieval-Augmented Reasoning on Trade-Based Money Laundering (TBML-NoiseBench)
    Machine Learning (Springer), ACML 2026 Journal Track · Authors: Sushanta Paul, Anmita Das, Shoumya Chowdhury · Benchmark, code and data on Zenodo

Preprints

Peer review

Reviewer for international journals and conferences. In 2026 I completed nine reviews. Manuscript details remain confidential.

  • Applied Economics (Taylor & Francis), with a 2026 Reviewer Certificate
  • International Journal of Public Administration (Taylor & Francis), with a 2026 Reviewer Certificate
  • Digital Policy, Regulation and Governance (Emerald)
  • Journal of Shipping and Trade (Springer Nature)
  • CICAI 2026, CAAI International Conference on Artificial Intelligence (3 submissions)
  • AusDM 2026, Late-Breaking Work track (2 submissions)

Experience and education

Joint Commissioner of Customs

National Board of Revenue, Dhaka, Bangladesh

2012 to present

MBA in Finance

Institute of Business Administration (IBA), University of Dhaka

BSc in Computer Science and Engineering

Chittagong University of Engineering & Technology (CUET)

Data Analytics, Beginner

World Customs Organization, CLiKC! Certificate of Achievement

11 October 2026

Distinction

First in Merit, 30th BCS Examination, Bangladesh Public Service Commission (2011).

Writing and speaking

I also write in Bengali on literature, psychology and human life, and speak to students on careers and study. My essays, poetry and talks are on this site, and the Career Adda talk series is on YouTube. To invite me as a speaker, see Invite Me As Speaker.

Contact

For research collaboration, reviewing or speaking invitations, write to hello@sushantapaul.com or use the contact page.