Journal Publications

Publications are listed in reverse chronological order. The * denotes equal first authors.

2025

Integrating Model-Based Reconstruction and Deep Learning for Accelerating Mass Spectrometry Imaging
Mithunjha Anandakumar, Timothy J. Trinklein, Stanislav S. Rubakhin, Jonathan V. Sweedler, and Fan Lam
Analytical Chemistry, 2025.
PDF Code

Toward interpretable sleep stage classification using cross-modal transformers
Jathurshan Pradeepkumar*, Mithunjha Anandakumar*, Vinith Kugathasan, Dhinesh Suntharalingham, Simon L Kappel, Anjula De Silva, and Chamira US Edussooriya
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024.
PDF Code

DEEP-squared: Deep Learning Powered De-scattering with Excitation Patterning
Navodini Wijethilake*, Mithunjha Anandakumar*, Cheng Zheng, Peter T. C. So, Murat Yildirim, and Dushan N. Wadduwage
Light : Science and Applications, 2023.
PDF Code
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 Anjula De Silva
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023.
PDF Code

Towards Accurate Cross-Domain In-Bed Human Pose Estimation
Mohamed Afham*, Udith Haputhanthri*, Jathurshan Pradeepkumar*, Mithunjha Anandakumar, Ashwin De Silva, and Chamira US Edussooriya
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
PDF Code

Decoding of Hand Gestures from Electrocorticography with LSTM Based Deep Neural Network
Jathurshan Pradeepkumar, Mithunjha Anandakumar, Vinith Kugathasan, Thilina D Lalitharatne, Anjula C De Silva, and Simon L Kappel
In Proceedings of International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021.
PDF

An AI-Driven Adaptive Temporal Acquisition Method for Fourier Transform Mass Spectrometry Imaging
Mithunjha Anandakumar, Timothy J. Trinklein, Jonathan V. Sweedler, and Fan Lam
Proc. of 74th ASMS Conference on Mass Spectrometry and Allied Topics. San Diego, California; 2026, ID: 327244
(Accepted for Poster Presentation)
Poster

Integrating Model-Based Reconstruction and Deep Learning for Accelerating Mass Spectrometry Imaging
Mithunjha Anandakumar, Timothy J. Trinklein, Jonathan V. Sweedler, and Fan Lam
Proc. of 73rd ASMS Conference on Mass Spectrometry and Allied Topics. Baltimore, Maryland; 2025, ID: 322537.
(Accepted for Oral Presentation, <5% of total abstracts)
slides