- 🔬 Current Work: PhD Candidate at the Complex Systems Lab at UPenn, advised by Dani S. Bassett. Focusing on network neuroscience, deep learning, and control systems.
- 🎓 Background: B.S. in Computer Science & Mathematics, B.A. in Linguistics from UMass Amherst.
- 🧠 Research Interests: Deep Learning in Medical Imaging (MRI), Functional Brain Networks, Control Theory, Transfer Learning.
- 🗣️ Highlights: President of India Medal for Exceptional Performance in Innovation (2016), 3x TEDx Speaker.
- 📫 How to reach me: soveshm@seas.upenn.edu
- TReND: Transformer-derived features and Regularized NMF for Delineation of Functional Networks, MICCAI '25 / OHBM '25 🏆 (Oral & Merit Abstract Award - Top 0.1%)
- Accurate prediction of 2-year-old neurodevelopmental outcomes in mild HIE with neonatal white matter microstructure, ISMRM & ISMRT Annual Meeting '25 (Oral Presentation)
- Machine-learning based prediction of future outcome using multimodal MRI during early childhood, Seminars in Fetal and Neonatal Medicine (2024)
- Graph kernel assisted robust individual and group level functional brain parcellation (GRAFP), ISMRM (2024)
- SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of MRI using Deep Learning, Medical Imaging meets NeurIPS (2023)
- Sentiment is all you need to win US Presidential elections, NLP4DH, AACL-IJCNLP (2022)