Kavya Kopparapu

GIRLSCOMPUTINGLEAGUE: ACHIEVING EQUITY IN EMERGING TECHNOLOGY

HP Collaboration - November 2020

Seventeen Voices of the Year - December 2020

Marie Claire Feature - September 2020

Smithsonian National Museum of American History: Girlhood (It's Complicated) Exhibit - October 2020

Alba Botanica Do Good Do Beautiful Campaign - April 2019

PODCASTS, patents, etc

published articles

WEBMD ARTIFICIAL INTELLIGENCE ISSUE: JAN/FEB 2020

MEDICAL AND HEALTH OUTCOMES RESEARCH

COVID-19 Forecasting using Web-Based and Participatory Survey Data

How can we aggregate web search, mobility, and participatory health survey data to predict the spread of COVID-19?

• Paper Accepted and Oral Presentation at the Autonomous Agents for Social Good Workshop at the 20th International Conference on Autonomous Agents and Multiagent Systems

privacy-conscious machine learning research

TinyFL: Enabling Federated Learning on Tiny Devices

How can we enable federated learning on microcontrollers deployed on the Edge?

• Final Project with Paper for Harvard CS 249r: Tiny Machine Learning

FedCD: Improving Performance in non-IID Federated Learning

How can we improve the performance of privacy-preserving ML in applications with non-uniform data distributions?

• Final Project for Harvard CS 242: Computing at Scale

• Paper Accepted and Oral Presentation at the AI of Things Workshop at the ACM International Conference on Knowledge Discovery and Data Mining (San Diego, CA), August 2020

medical diagnosis research

GlioVision: A Platform for the Automatic Assessment of Glioblastoma from Histopathological Images

March 2017- March 2019

This study presents GlioVision, an assessment platform that extracts relevant histopathological and genetic information. GlioVision is high speed (5 seconds), low cost, and ready to implement with significantly improved accuracy. GlioVision pioneers the segmentation of tumor features and prediction of molecular subtype and gene methylation status from a WSI while presenting results in a user-friendly, cost-effective platform for pathologists and oncologists.

• Poster Presentation: Regeneron STS Public Exhibition of Projects (Washington DC), March 2018

Additional Information: Contact me for additional project materials.

Eyeagnosis: Inexpensive Mobile Diagnosis of Diabetic Retinopathy

June 2016- May 2017

We developed the Eyeagnosis system, which utilizes machine learning techniques and a smartphone camera for the automatic screening of DR. We designed and trained a neural network architecture and were able to obtain results statistically comparable to the results of a group of 74 optometrists.

With a custom-designed 3D-printed lens attachment, Eyeagnosis was able to take focused retinal images, as shown through testing on dilated eyes. These results demonstrate that Eyeagnosis is capable of assisting doctors in diagnosing DR in the field.

• Poster Presentation: International Society for Computational Biology (Aspen, CO), December 2016

• Oral Presentation: O’Reilly AI Conference (New York, NY), June 2017

Additional Information: Contact me for additional project materials.

medical interventions innovation

MediKey: Secure Sharing of Medical Information with Emergency Personnel

January 2015- July 2016

MediKey, is a mobile application that enables secure, on-demand and swift sharing of relevant lifesaving medical history with Emergency Health Technicians (EMTs), regardless of consciousness of the patient. The EMT’s phone securely retrieves encrypted patient’s credentials from a patient’s phone using NFC technology to securely log on to a government database known as Blue Button.

Up-to-date, relevant patient history information including drug hypersensitivity, blood type, current prescriptions, and allergies is then securely made available on the EMT’s phone, while adhering to HIPAA standards. Therefore, the EMT can then quickly develop a safe, well-informed and effective treatment plan to stabilize the patient.

• Oral Presentation: American Society for Engineering Education (New Orleans, LA), June 2016

Additional Information: Contact me for additional project materials.