Fulbright-Nehru Student Researcher

Field of Study:

Computer Science

Home Institution in the U.S.:

Purdue University, West Lafayette, IN

Host Institution in India:

Indian Institute of Technology Madras, Chennai, Tamil Nadu

Start Date/Month in India:

December 2024

Duration of Grant:

Six months

Aditi Anand

Aditi Anand is an undergraduate student majoring in computer engineering at Purdue University.  She is also pursuing a minor in biology and a concentration in artificial intelligence (AI).  Aditi intends to pursue a career in healthcare and is specifically interested in applications of AI in the field of medicine.  Her research has explored creating more brain-like artificial neural networks; improving the robustness of AI models used in medical imaging; and early and low-cost diagnosis of congestive heart failure.  Aditi has received the Presidential Scholarship, Paul and Peggy Reising Scholarship, Stimson Family Scholarship, and Charles W. Brown Scholarship, all from Purdue University.  She has also received the National Honorable Mention Award for Aspirations in Computing from the National Center for Women & Information Technology and the Sigma Xi Top STEM Talk Award at the Purdue Spring Undergraduate Research Conference.  Aditi has served as a crisis intervention specialist for Mental Health America; as an emergency room volunteer at the IU Arnett Hospital, Lafayette; as vice chair of the Engineering in Medicine and Biology Society, Purdue Student Chapter; as vice president of WorldHealth Purdue; and as event coordinator for the Indian Classical Music Association at Purdue.  She has also volunteered for Udavum Karangal, Chennai, organizing personal hygiene and health awareness workshops, and for the Ankit Foundation Corp to develop a mobile app for mental health.

In her Fulbright-Nehru program, Aditi is working with the Robert Bosch Center for Data Science and Artificial Intelligence at the Indian Institute of Technology (RBC-DSAI) in Chennai to develop a high-performing AI model that can be deployed in Indian clinical conditions to diagnose breast cancer through low-cost mammograms.  The model that she is developing with Dr. Balaraman Ravindran’s team at RBC-DSAI seeks to overcome the challenges that India and other countries face due to lack of resources and access to radiologists.

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