CV

My curriculum vitae.

Contact Information

Name Subrat Kumar Swain
Professional Title PhD Researcher in Machine Learning & Security
Email qiz218247@iitd.ac.in

Professional Summary

PhD researcher at The University of Queensland and IIT Delhi, working on adversarial machine learning and network security.

Experience

  • 2020 - 2021

    Bengaluru, India

    Product Engineer
    Cognizant Technology Solutions
    • Developed and integrated a Ticket Analysis Solution into Nexa, an AutoML platform, which generates plots for volumetric & multivariate analysis and arrival patterns of issue tickets.
  • 2019 - 2020

    San Francisco, CA (Remote)

    Machine Learning Engineer
    TaiyoAI Inc.
    • Automated hyper-parameter optimization of models by 80% using Bayesian optimization.
    • Improved model evaluation by ranking 20+ competing machine learning models by implementing an evaluation leaderboard for various use cases.
    • Improved & managed model deployment pipeline for 1000+ time series forecasting models using Apache Airflow.
  • 2018 - 2020

    Odisha, India

    Undergraduate Research Assistant (Under Prof. Bighnaraj Naik)
    VSS University of Technology
    • Implemented a Deep Belief Network classifier by stacking multiple Restricted Boltzmann Machines and performed a comparative study on classification power based on Gibbs chain lengths in Gibbs sampling.

Education

  • 2021 - present

    Brisbane, Australia & New Delhi, India

    PhD
    The University of Queensland - IIT Delhi
    Machine Learning & Security
    • Machine Learning, Meta Learning, Computer Vision, Network & System Security, Cyber-Physical Systems, Cryptography
    • Supervised by Prof. Dan Kim (UQ) and Prof. Vireshwar Kumar (IIT Delhi)
  • 2016 - 2020

    Odisha, India

    Bachelor of Technology
    VSS University of Technology
    Computer Science

Awards

  • 2026
    Invited Speaker, UQ-IITD Industry Connect Workshop Series
    Academia-Industry Research Partnerships in Responsible AI Across Australia and India

    Invited speaker at the UQ-IITD Industry Connect Workshop Series on Responsible AI.

  • 2025
    ACM CCS 2025 Attendee
    ACM

    Attended ACM CCS 2025 at Taipei, Taiwan.

  • 2024
    CSRC Invited Student Speaker
    The University of Queensland

    Invited student speaker at the CSRC conference at UQ in 2023 and 2024.

  • 2021
    Prime Minister's Research Fellowship (PMRF)
    Government of India

    Qualified for the Prime Minister’s Research Fellows PhD fellowship in lateral entry scheme for cycle 9.

  • 2021
    GATE CS-IT All India Rank 800
    GATE

    Ranked All India 800 (top 0.8%) from 101,922 students in Graduate Aptitude Test in Engineering (GATE) - CS-IT.

  • 2020
    SkyDeck UC Berkeley
    UC Berkeley

    Selected as part of SkyDeck, UC Berkeley Start-up Acceleration program as a ML Engineer for TaiyoAI.

  • 2016
    JEE Advanced ~99 Percentile
    IITs

    Achieved ~99 percentile (All India Rank 13,187 among 12,07,058 candidates) in JEE Advanced 2016.

  • 2013
    National Super 100, Delhi
    Director General of Police Abhyanand

    Selected for National Super 100, Delhi - free residential coaching for IIT entrance examinations.

  • 2009
    JNVST (Navodaya) Scholar
    Government of India

    Qualified JNVST (Navodaya) and funded by the Govt of India to pursue free education from Standard 6 to 12.

Publications

  • 2023
    SPAT: Semantic-Preserving Adversarial Transformation for Perceptually Similar Adversarial Examples
    European Conference on Artificial Intelligence (ECAI'23) [CORE A]
  • 2024
    PANDA: Practical Adversarial Attack Against Network Intrusion Detection
    International Conference on Dependable Systems and Networks (DSN) [CORE A]
  • 2026
    ImageNet-LC: A Benchmark for Object-Centric Robustness under Localized Corruptions
    International Conference on Pattern Recognition (ICPR) [CORE B]
  • 2020
    Deep Learning and Wavelet Transform Integrated Approach for Short-term Solar PV Power Prediction
    Journal of the International Measurement Confederation [IF: 5.131]
  • 2026
    G2AP: Gradient-Guided Adversarial Perturbation in Network Security
    IEEE European Symposium on Security and Privacy-Workshops (EuroS&P-W) [CORE A]
  • 2026
    GhosTurb: Practical Adversarial Perturbation Framework for IoT Networks
    Submitted to AsiaCCS 2026

Skills

Machine Learning (Expert): Adversarial Machine Learning, Deep Learning, Meta Learning, Computer Vision, Bayesian Optimization, PyTorch, TensorFlow
Network Security (Expert): Adversarial Attacks, Intrusion Detection Systems, IoT Security, Cyber-Physical Systems, Cryptography
Programming (Expert): Python, PyTorch, TensorFlow, Apache Airflow, Docker, Linux

Languages

English : Fluent
Odia : Native
Hindi : Fluent

Interests

Research: Adversarial Machine Learning, Network Security, Computer Vision, IoT Security

Projects

  • Disentangling Symbols and Movements: Factor-VAE on NAR Dataset

    Applied Factor-VAE to disentangle complex primitive transformations in a few-shot visual analogical reasoning task, and demonstrated interpretability of the learned factors through latent traversal analysis.

  • Reading Noisy Captions Embedded in Images

    Developed an Encoder-Decoder network using ResNet-50 for image encoding and an attention-based LSTM for extracting text embedded within images, leveraging teacher forcing for training, beam search for prediction, and BLEU score for evaluation.

References

  • Prof. Dan Kim

    Associate Professor, School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia.

  • Prof. Vireshwar Kumar

    Assistant Professor, Department of Computer Science and Engineering, IIT Delhi, New Delhi, India.