Shahriyar Zaman Ridoy

AI Researcher · Reasoning & Reliability in Foundational Models

General Information

Full Name
Shahriyar Zaman Ridoy
Email
shahriyar.zaman01@gmail.com
Website
shahriyar-zaman.github.io
Google Scholar
scholar.google.com/citations?user=Tj7LsaQAAAAJ
GitHub
github.com/shahriyar-zaman
LinkedIn
linkedin.com/in/shahriyar-zaman
Location
Dhaka, Bangladesh
Languages
English, Bangla

Research Interests

Grounded Multimodal Reasoning

  • Geo-temporal, geo-spatial, and spatial reasoning in vision-language models
  • Diagnostic benchmarks that separate genuine reasoning from shortcut exploitation

Formal and Symbolic Reasoning

  • LLMs as designers of executable computational systems: grammars, pushdown automata, Turing machines
  • Behavioral correctness evaluation for generated formal artifacts

Trustworthy and Culturally Grounded Evaluation

  • Hallucination detection, adversarial robustness, and efficiency of foundation models
  • Culturally grounded evaluation for Bengali and other underrepresented languages

Education

2020 – 2024

B.Sc. in Computer Science and Engineering, Summa Cum Laude

North South University, Dhaka, Bangladesh

  • CGPA 3.88 / 4.00 (top 2%); specialization GPA 4.00 / 4.00; 75% merit scholarship.
  • Specialization: Natural Language Processing, Machine Learning.
  • Thesis
    • Context-Aware Data Cleaning Pipeline for Clinical Text and Low-Resource Bangla.
    • Best Paper Award, IEEE International Conference on Intelligent Systems (IS) 2024.
    • Journal extension published in SN Computer Science (Springer Nature), 2025.

Research Experience

2026 – Present

Research Intern

Vanderbilt University (Remote)

Dec 2025 – Present

Research Assistant

Cognitive Agents and Interaction Lab, University of Dhaka (Remote)

  • Supervisor: Dr. Md Mosaddek Khan.
  • Symbolic and formal reasoning in LLMs: executable grammars, pushdown automata, and Turing machines.
  • Two papers accepted to Findings of EMNLP 2026 (one as first author); one paper under review at ACL Rolling Review.
Jun 2025 – Present

Research Collaborator

Qatar Computing Research Institute (QCRI) (Remote)

  • Supervisor: Dr. Md Rizwan Parvez.
  • Evaluation protocols for geo-temporal and spatial reasoning in vision-language models.
  • Co-first author of TimeSpot (ICML 2026); co-author of SpatiaLab (ICLR 2026); lead author of a geo-reasoning survey accepted to AACL-IJCNLP 2026.
Nov 2024 – Jun 2025

Research Collaborator

Apurba-NSU R&D Lab, North South University

  • Supervisors: Dr. Nabeel Mohammed and Dr. Shafin Rahman.
  • Model compression (knowledge distillation) for LLMs and efficient vision-language reasoning.
  • Joint first author of CAPSTONE, accepted to the EMNLP 2025 Industry Track.
Sep 2024 – Jul 2025

Research Intern

Artificial Intelligence Institute, University of South Carolina (AIISC) (Remote)

  • Collaborators: Prof. Amitava Das (BITS Pilani, formerly AIISC), Aman Chadha (AWS), Vinija Jain (Meta AI).
  • Hallucination detection for text-to-image generation with Qwen-VL and LLaVA on MS-COCO and synthetic T2I benchmarks.
  • Speculative-decoding defenses against adversarial attacks on diffusion models.
Dec 2023 – Feb 2024

Research Assistant (NLP)

North South University

  • Supervisor: Dr. Rashedur M. Rahman.
  • Context-aware Bengali text-cleaning pipeline for transformer models: up to +4% accuracy on three benchmarks (SN Computer Science).
  • Efficient clinical-text preprocessing pipeline: up to 17% faster training (Best Paper Award, IEEE IS 2024).

Publications

  • Full list with abstracts and links on the Publications page.
  • Main conferences: ICML 2026 (co-first author), ICLR 2026, Findings of EMNLP 2026 (first author and co-author), ACM FAccT 2026 (co-first author), AACL-IJCNLP 2026 (two main-conference papers and one Findings paper; co-first author on two), EMNLP 2025 Industry Track (co-first author), IEEE BigData 2024 (first author), IEEE IS 2024 (first author, Best Paper Award).
  • Journal: SN Computer Science (Springer Nature), 2025.
  • Workshops: ICML 2026 (AI for Math; Human-AI Co-Creativity), EurIPS 2025 (MMRL4H).

Teaching Experience

Feb 2025 – Dec 2025

Lab Instructor

Department of Electrical and Computer Engineering, North South University

  • CSE 225L Data Structures and Algorithms Lab; CSE 115L Programming Language I Lab.
  • Lab Instructor Coordinator for CSE 225L: manual updates, problem-set design, standardized lab operations.
Feb 2023 – Jan 2025

Teaching Assistant

Department of Electrical and Computer Engineering, North South University

  • CSE 225 Data Structures and Algorithms; CSE 215 Programming Language II (OOP).
  • Mentored 160+ students per semester; tutorials, grading, and detailed feedback.

Honors and Awards

2024
  • Best Paper Award, IEEE International Conference on Intelligent Systems (IS), Varna, Bulgaria.
  • Summa Cum Laude, B.Sc. in Computer Science and Engineering, North South University (top 2%).
2023
  • Honorable Mention, ICPC Asia Dhaka Regional Online Preliminary.
2020 – 2024
  • 75% Merit Scholarship for academic excellence, North South University.

Academic Service

  • Reviewer, ICLR 2027.
  • Reviewer, WACV 2027.
  • Reviewer, NeurIPS 2026 Creative AI Track.
  • Reviewer, NeurIPS 2026 AI4MetaScience Workshop.
  • Reviewer, NeurIPS 2026 AIWILD Workshop.
  • Reviewer, NeurIPS 2026 SLM-Agents Workshop.
  • Reviewer, AI for Math Workshop at ICML 2026.
  • Reviewer, ACL 2025 Student Research Workshop.

Talks and Presentations

Jul 2026

ICML 2026, Seoul, South Korea

  • Presented TimeSpot (main track) and workshop papers at AI for Math and Muslims in ML.

Competitive Programming

Jun 2021 – Feb 2023

Programming Contestant, NSU Problem Solvers

  • ICPC, Codeforces, AtCoder, Meta Hacker Cup, Vjudge.
  • ICPC Asia Dhaka Online Preliminary: Honorable Mention.
  • Solved roughly 1,000 problems across platforms; mentored peers in data structures and algorithms.

Certifications

Summer 2025

Cohere Labs Open Science Community ML Summer School

Cohere Labs, with sessions from researchers at Meta, DeepMind, and INRIA

Mar 2024

Supervised Machine Learning: Regression and Classification

Coursera (Andrew Ng's Machine Learning Specialization)

Mar 2024

The Short Course on Data Science

Prof. Jennifer Widom (Stanford), Instructional Odyssey at NSU

Oct 2023

ICPC Asia Dhaka Regional Site Online Preliminary Contest

ICPC

Technical Skills

Languages

  • Python
  • C++
  • C
  • Java
  • SQL

Machine Learning

  • PyTorch
  • TensorFlow / Keras
  • Hugging Face Transformers
  • scikit-learn

Data and Tooling

  • NumPy / Pandas
  • Matplotlib
  • Git
  • Docker
  • LaTeX