About

I’m a Computer Science PhD student in the PiCASSo Lab advised by Prof. Shubham Jain. My research sits at the intersection of sports analytics, wearable sensing, and human performance prediction. I develop data-driven methods to analyze and forecast athletic performance, with a focus on detecting fatigue, predicting failure, and improving safety in strength training.

  • Research areas: Health sensing, Time-series ML, Human Performance Analytics

    • Research Projects

    Wearable-based Detection of Muscle Failure Onset

    Designed and validated wearable novel metrics to analyze performance in strength training complementing traditional methods.

    Under submission at a multidisciplinary journal

    LiftSafe: Human Performance Prediction

    Predictive models to forecast strength training performance from IMU data, aiming to provide real-time, personalized safety feedback.

    Under submission at a CS conference

    Sleep Efficiency Modeling

    Prediction of sleep efficiency using activity, location, and screen-time data with personalized insights.

    Project GitHub Repo

    Publications

    Gene Tree Parsimony in the Presence of Gene Duplication, Loss, and Incomplete Lineage Sorting

    Prottoy Saha, Md. Shamiul Islam, Tasnim Rahman, Adiba Shaira, Kazi Noshin, Rezwana Reaz, Md. Shamsuzzoha Bayzid

    RECOMB Comparative Genomics Workshop, 2024

    View publication (ACM DOI)

    Experience

    Service & Leadership

    Awards