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General Information

Full Name Shahriyar Zaman Ridoy
Email shahriyar.zaman01@gmail.com
Website shahriyar-zaman.github.io
Google Scholar Tj7LsaQAAAAJ
GitHub shahriyar-zaman
LinkedIn shahriyar-zaman
Languages English, Bangla
Location Dhaka, Bangladesh

Education

  • 2020–2024
    B.Sc. in Computer Science & Engineering (Summa Cum Laude, Top 2%)
    North South University, Dhaka, Bangladesh
    • CGPA 3.88/4.00; Major GPA 3.92/4.00; 75% merit scholarship; Avg ≈97%.
    • Focus: Natural Language Processing, Machine Learning, Pattern Recognition.
    • Thesis / Highlights
      • Thesis: Context-Aware Data Cleaning Pipeline for Clinical Text and Low-Resource Bangla.
      • Best Paper Award — IEEE IS 2024 (Varna, Bulgaria).
      • Journal follow-up — SN Computer Science (Springer Nature), 2025.

Experience

  • Feb 2025 – Present
    Lab Instructor — CSE225L (Data Structures & Algorithms Lab), CSE115L
    Department of ECE, North South University
    • Delivered coding-focused labs, debugging clinics, and assessments.
    • Lab Instructor Coordinator (CSE225L): updated manuals, optimized problem sets, standardized workflows.
  • Jun 2025 – Present
    Research Collaborator — Multimodal LLM Agents & Geo-Temporal VLMs
    Qatar Computing Research Institute (QCRI) — Remote
    • Developed evaluation protocols; two VLM evaluation submissions to ICLR 2026.
    • Supervised by Md Rizwan Parvez (Scientist, QCRI).
  • Sep 2024 – Jul 2025
    Research Intern — LLM/VLM Robustness, Diffusion Models
    Artificial Intelligence Institute, University of South Carolina (AIISC) — Remote
    • Hallucination detection for text-to-image/VLMs (Qwen-VL, LLaVA); COCO + synthetic T2I evaluations.
    • Explored speculative-decoding defenses for diffusion robustness.
    • Collaborated with Prof. Amitava Das (BITS Pilani; ex-AIISC), Aman Chadha (AWS), Vinija Jain (Meta AI).
  • Feb 2023 – Jan 2025
    Teaching Assistant — CSE225 (Data Structures & Algorithms), CSE215 (OOP)
    North South University
    • Mentored 160+ students/semester; tutorials; grading; detailed feedback.
  • Dec 2023 – Feb 2024
    Research Assistant — NLP
    North South University
    • Built a context-aware Bangla text-cleaning pipeline for transformer models; up to +4% accuracy; journal follow-up in SN Computer Science.

Honors & Awards

  • 2024
    • Best Paper Award — IEEE IS, Varna, Bulgaria.
    • Summa Cum Laude — North South University.
  • 2020–2024
    • 75% Merit Scholarship — Academic Excellence.
  • 2025
    • SN Computer Science — journal follow-up to IEEE IS work.

Teaching Experience

  • Feb 2025 – Present
    Lab Instructor
    Department of ECE, North South University
    • CSE225L Data Structures & Algorithms Lab; CSE115L Programming Language I Lab.
    • Coordinator for CSE225L labs: manual updates, problem-set design, workflow standardization.
  • Feb 2023 – Jan 2025
    Teaching Assistant
    Department of ECE, North South University
    • CSE225 Data Structures & Algorithms; CSE215 Programming Language II (OOP).
    • Mentored 160+ students/semester; tutorials, grading, feedback.

Reviewing Services

  • Reviewer — ACL 2025 Student Research Workshop (SRW); reviewed 2 papers.

Competitive Programming

  • Jun 2021 – Feb 2023
    Programming Contestant — NSU Problem Solvers
    • Participated in ICPC, Codeforces, AtCoder, Meta Hacker Cup, Vjudge.
    • ICPC Asia Dhaka Online Preliminary — Honorable Mention.
    • Solved ~1000 problems across platforms; mentored DSA.

Certifications

  • Summer 2025
    Cohere Labs Open Science Community for ML Summer School
    Cohere Labs (sessions by experts from Meta, DeepMind, INRIA)
  • Mar 2024
    Supervised Machine Learning: Regression and Classification
    Coursera
  • Mar 2024
    The Short Course on Data Science
    Prof. Jennifer Widom (Stanford) — Instructional Odyssey @ NSU
  • Oct 2023
    ICPC Asia Dhaka Regional Site Online Preliminary Contest
    ICPC

Technical Skills

  • Python, C++, C, Java, SQL
  • PyTorch, TensorFlow, Keras, scikit-learn, Transformers
  • Pandas, NumPy, Matplotlib
  • Git, Docker, AutoCAD

Academic Interests

  • Trustworthy & Multimodal AI
    • Geo-temporal/spatial reasoning in VLMs
    • Hallucination detection and robustness (T2I/VLM)
  • Ethics, Safety & Alignment
    • Multilingual/multicultural evaluation
    • Calibration (ECE) and risk–coverage analysis
  • Code Intelligence
    • Vulnerability detection with LLMs/graphs