Mithunjha Anandakumar
PhD Student, University of Illinois Urbana-Champaign
Hi! I’m Mithunjha Anandakumar, a third-year Ph.D. student in Bioengineering at the University of Illinois Urbana-Champaign, advised by Dr. Fan Lam. My research focuses on multimodal biochemical analysis of the brain, leveraging computational methods to enhance our understanding of its biochemical mapping.
Email: amithunjha@gmail.com | ma127@illinois.edu
News
- Jun 2025 Our abstract title "Integrating model-based reconstruction with deep learning for accelerating mass spectrometry imaging" has been accepted for oral presentation at the American Society for Mass Spectrometry (ASMS) conference, 2025.
- Apr 2025 Presented a poster at the 20th Anniversary Frontiers in Bioengineering Symposium, 2025.
- Aug 2024 Awarded the Illinois Distinguished Fellowship (IDF) for the 2024–2025 academic year.
- Aug 2024 Our paper titled “Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers” has been accepted and published in IEEE Transactions on Neural Systems and Rehabilitation Engineering.
- Sep 2023 Our paper titled “DEEP-squared: Deep Learning Powered De-scattering with Excitation Patterning” has been accepted and published in Light: Science and Applications.
- Aug 2023 Awarded the Illinois Distinguished Fellowship (IDF) for the 2023–2024 academic year.
- Aug 2023 Started my PhD in Bioengineering at the University of Illinois Urbana-Champaign.
- Jun 2023 Our paper titled “A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG Data” has been accepted for presentation at the IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2023.
Featured GitHub Projects
Selected Publications
- Towards Interpretable Sleep Stage Classification Using Cross-Modal Transformers
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024. - DEEP-squared: Deep Learning Powered De-scattering with Excitation Patterning
Nature LSA: Light – Science and Applications, 2023. - A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG Data
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2023.