Aadya Goel is a student at Vellore Institute of Technology in India. She has worked on several academic and extracurricular projects. For example, she researched deep learning with a faculty member from the National University of Singapore. Their work explores how deep learning can detect stock market manipulation. The paper is currently under peer review.
Beyond research, Aadya co-founded Saathi Care. The startup aims to improve at-home eldercare in Pune. She also led a UI/UX design workshop at her university. More than 50 students attended the session.
Aadya’s research paper, Epilepsy Seizure Detection based on EEG Signals using Machine Learning, has been accepted for presentation at the IEEE International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (ICIITCEE 2025). The BNM Institute of Technology hosted the conference, with sponsorship from IEEE.
Watch the Video: Exploring Machine Learning for Epileptic Seizure Detection
Machine learning offers promising approaches to identifying patterns in data that may help detect epileptic seizures. Aadya’s research explores how these techniques can be applied to seizure detection. Watch the video below to learn more about this research area and the ideas behind her work.
Her research explores how machine learning can detect epileptic seizures using electroencephalography (EEG) signals. This approach could help researchers develop more efficient seizure detection technology. It also highlights the potential of combining artificial intelligence with healthcare.
Congratulations to Aadya on this achievement!
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