Research

(Focus)

Applied AI across computer vision, medical imaging and biosignals — tested against real users, clinics and field deployments rather than benchmarks alone.

  • Computer Vision
  • Medical Imaging
  • Biosignal Processing
  • Contextual & Episodic Memory
  • Cognitive Performance
  • Optimization & Forecasting

(Publications)

03

  • 2026

    Paper title — replace with your first publication

    P. C. Kalaiselvi, Co-author, Co-author

    arXiv preprint · In preparationPlaceholder

  • 2026

    Paper title — replace with a workshop or conference paper

    Co-author, P. C. Kalaiselvi, Co-author

    Workshop / Conference · Under reviewPlaceholder

  • 2025

    Paper title — replace with a technical report

    P. C. Kalaiselvi

    Technical report · DraftPlaceholder

(Research projects)

05

  • 2026 —

    Flow-state modeling for a Cognitive Performance OS

    Applied research on flow-state modeling and closed-loop neurostimulation, grounded in Csikszentmihalyi's Flow Theory. Statistical models for skill decay, exponential moving average mastery estimation, and flow-channel classification from behavioral data.

    Hyle Global · Cognition, Statistical Modeling

  • 2024 — 2026

    Contextual memory for an AI wearable

    Kenesis Vision: a lightweight AI smartglass for real-time scene understanding, navigation and memory recall, with a hybrid edge-cloud engine for low-connectivity use, extended into a modular API layer for reasoning and episodic memory.

    Kenesis Labs · Computer Vision, Episodic Memory

  • 2024

    Skeletal bone-age estimation from pediatric hand radiographs

    An end-to-end CNN pipeline for bone-age estimation, deployed with MONAI Label and 3D Slicer and validated on-site at Egmore Children's Hospital against live clinical X-rays and radiologist assessments.

    OsteQuant · IIT Madras Research Park · Medical Imaging, Deep Learning

  • 2024

    Automated bus scheduling and route optimization

    Adaptive Large Neighbourhood Search for driver duty scheduling, LSTM models for passenger flow and arrival-time prediction, and GIS-based route optimization for Delhi Transport Corporation.

    Smart India Hackathon 2024 · Optimization, Forecasting

  • 2024

    Plant health from bioelectrical signals

    Classifying plant bioelectrical signals into healthy or stressed and hydrated or dehydrated states, using a Bio Amp ExG Pill, Arduino, BrainBay and Azure Machine Learning.

    TerraIntel · Microsoft Imagine Cup 2024 · Biosignals, Classification

(Reading list)

07

Papers by other authors that shaped this work.

  • 2017

    Attention Is All You Need

    Vaswani et al. · NeurIPS

  • 2016

    Deep Residual Learning for Image Recognition

    He, Zhang, Ren, Sun · CVPR

  • 2015

    U-Net: Convolutional Networks for Biomedical Image Segmentation

    Ronneberger, Fischer, Brox · MICCAI

  • 2021

    An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

    Dosovitskiy et al. · ICLR

  • 2021

    Learning Transferable Visual Models From Natural Language Supervision

    Radford et al. · ICML

  • 2020

    Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

    Lewis et al. · NeurIPS

  • 2022

    MONAI: An open-source framework for deep learning in healthcare

    Cardoso et al. · arXiv