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    Research

    Peer-reviewed publications grouped by topic. Each row links to the paper where a verified link is available; otherwise, see the full list on Google Scholar.

    Google ScholarResearchGate

    Applied AI & Computer Vision

    3 papers

    Applied machine learning and computer vision for image classification, defect detection, and visual analysis across industrial and aerial domains.

    Medical AI & Explainable AI

    4 papers

    Deep learning for clinical imaging and interpretability methods for radiology and diagnostic decision support.

    Responsible AI & Fairness

    1 paper

    Ethical considerations, bias mitigation strategies, and fairness analysis in machine learning systems.

    Cloud AI & Systems

    2 papers

    Scalable AI pipelines, multi-cloud deployment strategies, and infrastructure patterns for machine learning workloads.

    Security, Fraud & Applied ML

    1 paper

    Applied machine learning for fraud detection and security-adjacent classification problems.

    Distributed Systems & Blockchain

    1 paper

    Research on distributed consensus, blockchain protocols, and scalability of decentralized systems.

    Data Augmentation & Synthetic Data

    1 paper

    Techniques for expanding and synthesizing training data to improve model robustness and generalization.

    Talks

    1 talk
    Synthetic Data and Scalable AI: Enhancing Model Performance Across Domains

    Applied AI Summit · 2024

    Talk on synthetic data methods (GANs, VAEs, diffusion models, and LLMs), data quality evaluation, and applications across healthcare, finance, and vision.

    • 00:25The data bottleneck
    • 01:32What is synthetic data?
    • 02:35Evaluating data quality
    • 05:57Applications: healthcare, finance, vision
    • 09:18Case study: multimodal synthesis pipeline

    Review & judging

    5 roles

    Selected media

    6 articles