Portrait of Ali Abir Shuvro

Ali Abir Shuvro

PhD Student in Computer Science

University of Illinois Chicago

Contact: ashuv@uic.edu

About

I am a PhD student in Computer Science at the University of Illinois Chicago, where I work in the EDGES lab advised by Professor Elena Zheleva.

My research lies at the intersection of causal inference, data science, and machine learning. My current work focuses on causal discovery for relational data in networks. I have extended LiNGAM-based methods to settings where entities are connected and influence one another, as in social network graphs. I am currently working on the problem of considering nonlinear mechanisms in the relational settings. More broadly, I am interested in going beyond prediction toward explainability, unlearning, and causality.

Before joining UIC, I spent two years as a Lecturer in the Department of Computer Science and Engineering at the Islamic University of Technology (IUT), teaching courses in algorithms, networks, security, and software engineering. I earned my B.Sc. from IUT as the Gold Medalist of my class.

Interests

  • Causal Inference
  • Causal Discovery
  • Graph Neural Networks
  • Time-series Analysis
  • Large Language Models

Education

  • PhD in Computer Science (2024 to present) University of Illinois Chicago
  • B.Sc. in Computer Science Islamic University of Technology, Bangladesh Gold Medalist, top of the class

Experience

  1. Graduate Research & Teaching Assistant

    Aug 2024 to present
    University of Illinois Chicago, Department of Computer Science

    Working with Professor Elena Zheleva in the EDGES lab on causal discovery for relational data in networks.

  2. Lecturer

    Aug 2022 to Aug 2024
    Islamic University of Technology, Department of CSE

    Taught Cryptography and Network Security, Computer Networks Lab, Data Structures and Algorithms Lab, Software Project Lab, Compiler Design Lab, Numerical Methods Lab, Bioinformatics Lab, Computer Programming Lab, E-Commerce and Web Security, Engineering Ethics, and Design Project.

  3. Contractual Lecturer

    Sep 2022 to May 2023
    Brac University, Department of CSE

    Taught Algorithms Lab, Computer Networks Lab, System Analysis and Design Lab, Robotics Lab, and Compiler Design Lab.

  4. Machine Learning Engineer Intern

    Apr 2021 to Sep 2021
    Pioneer Alpha Ltd.

    Worked with the Vision Research Group on image generation projects using computer vision models.

  5. Network Service Management Intern

    Feb 2021 to Apr 2021
    Banglalink Digital Communications

    Studied the backbone of a national cellular network and worked with Nokia engineers to implement zero-touch configuration on base stations.

Publications

Ongoing research

  1. A. A. Shuvro, D. Arbour, E. Zheleva. Enhanced LiNGAM-based Causal Discovery for Relational Data in Networks. In preparation.

Journal articles

  1. S. S. Arnob, A. A. Shuvro, S. Rahman, M. Moniruzzaman, M. S. Hossen. Time-series multivariate multistep traffic flow forecasting using temporal fusion transformers. International Journal of Intelligent Transportation Systems Research, 2025.
    DOI
  2. A. A. Shuvro, M. S. I. Bhuiyan, F. Hussain, M. S. Hossen. Zero-shot performance analysis of large language models in sum-rate maximization. PLOS ONE, vol. 20, no. 8, e0329674, 2025.
    DOI
  3. A. A. Shuvro, M. S. Khan, M. Rahman, F. Hussain, M. Moniruzzaman, M. S. Hossen. Transformer based traffic flow forecasting in SDN-VANET. IEEE Access, vol. 11, pp. 41816–41826, 2023.
    DOI

Conference proceedings

  1. S. A. Chowdhury, S. F. Karim, M. S. I. Bhuiyan, A. A. Shuvro, M. S. Hossen. Quantum machine learning for anomaly detection in IoT devices. 5th International Conference on AI-ML-Systems (AIMLSystems), 2025.
    DOI
  2. A. A. Arnab, K. Ma, A. A. Shuvro, H. Leung. Comparison of 4G LTE and 5G NR in UAV networks: A Simu5G-based performance evaluation. IEEE 9th World Forum on Internet of Things (WF-IoT), 2023.
    DOI
  3. A. A. Arnab, A. A. Shuvro, K. Ma, H. Leung. A deep learning approach for a QoS prediction system in cellular networks. IEEE 9th World Forum on Internet of Things (WF-IoT), 2023.
    DOI
  4. R. M. Alamgir et al. Performance analysis of YOLO-based architectures for vehicle detection from traffic images in Bangladesh. 25th International Conference on Computer and Information Technology (ICCIT), 2022, pp. 982–987.
    DOI

A full, up-to-date list is on Google Scholar.

Honors & Awards

Honors and scholarships

  • 2022Gold Medalist, 34th Convocation of Islamic University of Technology
  • 2018–22OIC Academic Scholarship, Islamic University of Technology
  • 2009Talentpool Scholarship, Primary School Completion Examination

Competitions

  • 2022Finalist, Robi Datathon 2.0
  • 2021National Finalist, Huawei ICT Competition
  • 2021Finalist, Blockchain Olympiad Bangladesh
  • 2020Finalist, Dhaka-AI 2020

Service and activities

  • 2022–24Advisor, IUT Computer Society
  • 2022–24Member, IUT CSE Course Load Distribution Committee
  • 2022–23Programming Coach, National Girls' Programming Contest
  • 2021–22Vice-Captain, IUT CSE Football Team

Skills

Programming
Python, C, C++, Java, R
Databases
MySQL, Oracle SQL
Tools
VS Code, Google Colab, IntelliJ, Eclipse, LaTeX
Languages
English, Bengali
Other
Academic research, teaching and training, LaTeX typesetting and publishing

CV

My full CV, including coursework and undergraduate projects.

Download CV (PDF)