I am

Indrayudh Datta

Indrayudh Datta

Indrayudh

Datta

Biomedical Engineering Student,

Photographer

ABOUT ME

In a world of fleeting interests, my passion for biomedical engineering has deepened through each small, impactful experience. My pursuits are driven by a commitment to developing diagnostic and patient-care solutions that improve healthcare.


Outside the lab, photography refines my attention to detail, shaping the way I approach research and design with both creativity and technical rigor. I've also had the opportunity to blend technical and creative skills through college events, and I look forward to collaborating globally to drive transformative healthcare innovations.

In a world of fleeting interests, my passion for biomedical engineering has deepened through each small, impactful experience. My pursuits are driven by a commitment to developing diagnostic and patient-care solutions that improve healthcare.


Outside the lab, photography refines my attention to detail, shaping the way I approach research and design with both creativity and technical rigor. I've also had the opportunity to blend technical and creative skills through college events, and I look forward to collaborating globally to drive transformative healthcare innovations.

In a world of fleeting interests, my passion for biomedical engineering has deepened through each small, impactful experience. My pursuits are driven by a commitment to developing diagnostic and patient-care solutions that improve healthcare.


Outside the lab, photography refines my attention to detail, shaping the way I approach research and design with both creativity and technical rigor. I've also had the opportunity to blend technical and creative skills through college events, and I look forward to collaborating globally to drive transformative healthcare innovations.

MY PROJECTS

  • User-Driven K-Means Clustering for

    Diabetic Ulcer Image Segmentation

    via GUI

    Completed

    A K-means model for wound detection in

    medical images with a user-friendly GUI

    for pixel selection, combating lack in

    accuracy due to different lighting

    conditions of obtained images, achieved

    second place in the Medical Imaging

    Hackathon.

  • Hybrid Neural Network for Detection

    and Classification of Pathological

    Episodes in Electrocardiographs

    Signals

    Ongoing

    Journal publication detailing a hybrid

    approach to neural networks for ECG

    classification, improving accuracy and

    robustness through dataset augmentation

    using Abnormal Beat Synthesis filters and

    advanced network design

  • Custom Sensor Array for Parameter

    Monitoring in Medical

    Applications (sciforum-107429)

    Completed

    This project involves fabricating a cost-

    effective, CNT-based temperature sensor

    integrated with a GSR sensor for

    affordable, multi-parameter monitoring of

    stress and physiological status in medical

    and sports applications.

  • Project Deepsens: ECG Wearables

    Ongoing

    Development of an automatic ECG-

    triggering smartwatch and ring setup,

    initially testing a wired prototype for

    hardware control, supported by a Rs.

    1,30,000 grant from VIT's Student

    Startup Venture.

  • Development of a Custom Antenna for

    Early Detection of Alzheimer's

    Disease Using Microwave Imaging

    Techniques

    Ongoing

    This project involves designing a custom

    antenna for microwave imaging to enable

    early detection of Alzheimer's disease,

    utilizing brain phantom data and machine

    learning for improved diagnostic

    accessibility and affordability.

  • User-Driven K-Means Clustering for

    Diabetic Ulcer Image Segmentation

    via GUI

    Completed

    A K-means model for wound detection in

    medical images with a user-friendly GUI

    for pixel selection, combating lack in

    accuracy due to different lighting

    conditions of obtained images, achieved

    second place in the Medical Imaging

    Hackathon.

  • Hybrid Neural Network for Detection

    and Classification of Pathological

    Episodes in Electrocardiographs

    Signals

    Ongoing

    Journal publication detailing a hybrid

    approach to neural networks for ECG

    classification, improving accuracy and

    robustness through dataset augmentation

    using Abnormal Beat Synthesis filters and

    advanced network design

  • Custom Sensor Array for Parameter

    Monitoring in Medical

    Applications (sciforum-107429)

    Completed

    This project involves fabricating a cost-

    effective, CNT-based temperature sensor

    integrated with a GSR sensor for

    affordable, multi-parameter monitoring of

    stress and physiological status in medical

    and sports applications.

  • Project Deepsens: ECG Wearables

    Ongoing

    Development of an automatic ECG-

    triggering smartwatch and ring setup,

    initially testing a wired prototype for

    hardware control, supported by a Rs.

    1,30,000 grant from VIT's Student

    Startup Venture.

  • Development of a Custom Antenna for

    Early Detection of Alzheimer's

    Disease Using Microwave Imaging

    Techniques

    Ongoing

    This project involves designing a custom

    antenna for microwave imaging to enable

    early detection of Alzheimer's disease,

    utilizing brain phantom data and machine

    learning for improved diagnostic

    accessibility and affordability.

  • User-Driven K-Means Clustering for

    Diabetic Ulcer Image Segmentation

    via GUI

    Completed

    A K-means model for wound detection in

    medical images with a user-friendly GUI

    for pixel selection, combating lack in

    accuracy due to different lighting

    conditions of obtained images, achieved

    second place in the Medical Imaging

    Hackathon.

  • Hybrid Neural Network for Detection

    and Classification of Pathological

    Episodes in Electrocardiographs

    Signals

    Ongoing

    Journal publication detailing a hybrid

    approach to neural networks for ECG

    classification, improving accuracy and

    robustness through dataset augmentation

    using Abnormal Beat Synthesis filters and

    advanced network design

  • Custom Sensor Array for Parameter

    Monitoring in Medical

    Applications (sciforum-107429)

    Completed

    This project involves fabricating a cost-

    effective, CNT-based temperature sensor

    integrated with a GSR sensor for

    affordable, multi-parameter monitoring of

    stress and physiological status in medical

    and sports applications.

  • Project Deepsens: ECG Wearables

    Ongoing

    Development of an automatic ECG-

    triggering smartwatch and ring setup,

    initially testing a wired prototype for

    hardware control, supported by a Rs.

    1,30,000 grant from VIT's Student

    Startup Venture.

  • Development of a Custom Antenna for

    Early Detection of Alzheimer's

    Disease Using Microwave Imaging

    Techniques

    Ongoing

    This project involves designing a custom

    antenna for microwave imaging to enable

    early detection of Alzheimer's disease,

    utilizing brain phantom data and machine

    learning for improved diagnostic

    accessibility and affordability.

MY MISSION

MY MISSION

To pioneer impactful advancements in biomedical engineering by merging technical expertise with innovative problem-solving. I am committed to developing cutting-edge technologies, from MEMS and sensor fabrication to bio-instrumentation, that bridge engineering and healthcare. My goal is to create accessible, scalable solutions that transform patient care, enabling early diagnosis, personalized treatment, and proactive health monitoring. Through collaboration and continuous learning, I strive to reshape healthcare's future, fostering a world where technology-driven solutions enhance lives and redefine biomedical engineering's role in health.

To pioneer impactful advancements in biomedical engineering by merging technical expertise with innovative problem-solving. I am committed to developing cutting-edge technologies, from MEMS and sensor fabrication to bio-instrumentation, that bridge engineering and healthcare. My goal is to create accessible, scalable solutions that transform patient care, enabling early diagnosis, personalized treatment, and proactive health monitoring. Through collaboration and continuous learning, I strive to reshape healthcare's future, fostering a world where technology-driven solutions enhance lives and redefine biomedical engineering's role in health.

THE WORLD THROUGH MY EYES

GET IN TOUCH WITH ME

About Me

About Me

My Vision

My Vision

My Projects

My Projects

My Clicks

My Clicks

© 2024 Indrayudh Datta. All rights reserved.

© 2024 Indrayudh Datta. All rights reserved.

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LinkedIn

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hello@indrayudhdatta.com

hello@indrayudhdatta.com