Mithunjha Anandakumar

PhD Student, University of Illinois, Urbana Champaign

Mithunjha.jpeg

4053 Beckman Institute,

405 North Mathews Avenue

Urbana, Illinois 61801

Hi! I’m Mithunjha Anandakumar, a second-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 of the brain.

I was a joint post-baccalaureate research fellow at the Faculty of Arts and Sciences, Harvard University. My research involved developing deep learning algorithms to reconstruct microscopic images with Dr. Dushan Wadduwage, Wadduwage Lab, Harvard University and protein structure generation with of Dr. Sergey Ovchinnikov, SO lab, Harvard University.

I received my bachelor’s degree in Biomedical Engineering from Department of Electronic and Telecommication, University of Moratuwa, Sri Lanka, in 2022. I completed my thesis on “Interpretable multi-modal sleep monitoring system using Ear EEG and EOG” with Dr. Anjula De Silva, University of Moratuwa, Dr. Chamira Edussooriya, University of Moratuwa and Dr. Simon Lind Kappel, Aarhus University. I gained industry experience as a trainee biomedical research engineer at Zone24x7, developing biosignal processing algorithms to extract Breathing Rate (BR) from ECG and PPG.

I aspire to work towards developing cutting-edge machine learning methods for advancing medicine and healthcare. I have a keen interest in Medical Imaging, Deep Learning, and Biosignal Processing.

logos

news

Aug 5, 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 13, 2023 Our paper titled “DEEP-squared : Deep Learning Powered De-scattering with Excitation Patterning” has been accepted and published in Nature Light : Science and applications.
Aug 21, 2023 Starting my PhD in Bioengineering at University of Illinois, Urbana-Champaign.
Jun 29, 2023 Act as a manuscript reviewer for IEEE Journal of Biomedical and Health Informatics
Jun 1, 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 IEEE SMC 2023.
Oct 27, 2022 Our preprint titled “A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG Data” released.
Oct 21, 2022 Our preprint titled “DEEP^2: Deep Learning Powered De-scattering with Excitation Patterning” released.
Sep 14, 2022 Presented my final year thesis project to the Center for Ear EEG at Aarhus University, Denmark.
Aug 23, 2022 Served as an invited reviewer at ECCV 2022: L2ID Workshop.
Aug 14, 2022 Our preprint titled “Towards Interpretable Sleep Stage Classification Using Cross-Modal Transformers” released.

selected publications

  1. A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG Data
    Mithunjha Anandakumar*, Jathurshan Pradeepkumar*, Simon L Kappel, Chamira US Edussooriya, and 1 more author
    2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2023
  2. Towards Interpretable Sleep Stage Classification Using Cross-Modal Transformers
    Jathurshan Pradeepkumar*, Mithunjha Anandakumar*, Vinith Kugathasan, Dhinesh Suntharalingham, and 3 more authors
    IEEE Transactions on Neural Systems and Rehabilitation Engineering 2024
  3. DEEP-squared: Deep Learning Powered De-scattering with Excitation Patterning
    Navodini Wijethilake*, Mithunjha Anandakumar*, Cheng Zheng, Peter T. C. So, and 2 more authors
    Nature LSA: Light - science and applications 2023
  4. Decoding of Hand Gestures from Electrocorticography with LSTM Based Deep Neural Network
    Jathurshan Pradeepkumar, Mithunjha Anandakumar, Vinith Kugathasan, Thilina D Lalitharatne, and 2 more authors
    2021