Mithunjha Anandakumar

Northwest Building, 147

52 Oxford Street

Cambridge, Massachusetts 02138

Hi there! My name is Mithunjha Anandakumar. I am a joint post baccalaureate research fellow at Faculty of Arts and Sciences, Harvard University. Currently my research work involves 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 working as a trainee biomedical research engineer at Zone24x7, developing biosignal processing algorithms to extract Breathing Rate (BR) from ECG and PPG.

I am aspired to work towards developing cutting-edge machine learning methods for advancing medicine and healthcare. I have keen interest on Computer Vision, Deep Learning, Medical Imaging, and Biosignal Processing.

logos

news

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

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

arXiv preprint arXiv:2211.02638 2022

Bib

@article{2022knowledge,
  title = {A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG Data},
  author = {Anandakumar*, Mithunjha and Pradeepkumar*, Jathurshan and Kappel, Simon L and Edussooriya, Chamira US and De Silva, Anjula C},
  journal = {arXiv preprint arXiv:2211.02638},
  year = {2022},
}

Towards Interpretable Sleep Stage Classification Using Cross-Modal Transformers

Jathurshan Pradeepkumar*, Mithunjha Anandakumar*, Vinith Kugathasan, Dhinesh Suntharalingham, and 3 more authors

arXiv preprint arXiv:2208.06991 2022

Bib

@article{2022towards,
  title = {Towards Interpretable Sleep Stage Classification Using Cross-Modal Transformers},
  author = {Pradeepkumar*, Jathurshan and Anandakumar*, Mithunjha and Kugathasan, Vinith and Suntharalingham, Dhinesh and Kappel, Simon L and De Silva, Anjula C and Edussooriya, Chamira US},
  journal = {arXiv preprint arXiv:2208.06991},
  year = {2022},
}

DEEP^2: Deep Learning Powered De-scattering with Excitation Patterning

Navodini Wijethilake, Mithunjha Anandakumar, Cheng Zheng, Peter T. C. So, and 2 more authors

arXiv preprint arXiv:2210.10892 2022

Bib

@article{2022deepsq,
  author = {Wijethilake, Navodini and Anandakumar, Mithunjha and Zheng, Cheng and So, Peter T. C. and Yildirim, Murat and Wadduwage, Dushan N.},
  title = {DEEP$^2$: Deep Learning Powered De-scattering with Excitation Patterning},
  journal = {arXiv preprint arXiv:2210.10892},
  year = {2022},
}

Physics Augmented U-Net: A High-Frequency Aware Generative Prior for Microscopy

Jathurshan Pradeepkumar*, Mithunjha Anandakumar*, Vinith Kugathasan*, Andrew Seeber, and 1 more author

bioRxiv 2021

Bib

@article{2021physics,
  title = {Physics Augmented U-Net: A High-Frequency Aware Generative Prior for Microscopy},
  author = {Pradeepkumar*, Jathurshan and Anandakumar*, Mithunjha and Kugathasan*, Vinith and Seeber, Andrew and Wadduwage, Dushan N},
  journal = {bioRxiv},
  year = {2021},
  publisher = {Cold Spring Harbor Laboratory},
}

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

Bib

@inproceedings{2021decoding,
  title = {Decoding of Hand Gestures from Electrocorticography with LSTM Based Deep Neural Network},
  author = {Pradeepkumar, Jathurshan and Anandakumar, Mithunjha and Kugathasan, Vinith and Lalitharatne, Thilina D and De Silva, Anjula C and Kappel, Simon L},
  booktitle = {2021 43rd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC)},
  pages = {420--423},
  year = {2021},
  organization = {IEEE},
}