Research
My research examines how network structure shapes dynamics and function in the brain. I combine network control theory and machine learning for neuroimaging, and use large-scale text analysis to study scientific communication.
Google Scholar, Semantic Scholar, ResearchGate
Selected Papers
† Equal contribution as co-first authors.
Preprints and manuscripts under review
2026
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Task Context Shapes Component Roles in Language Models
Sovesh Mohapatra, Dani S. Bassett
Submitted to ICLR 2027
Project page · arXiv -
Connectome as Compiler: Reading Computation from Connectivity and then Writing it Back
Sovesh Mohapatra, Dani S. Bassett
Preprint
Project page -
War in the Abstract: The rise and consequences of militarized language in scientific communication
Sovesh Mohapatra, David Lydon-Staley, Dani S. Bassett
Preprint · under review
Project page -
QUIET: Quantifying Underutilized Influential Edges for Targeted synchronization
Sovesh Mohapatra, Christoffer G. Alexandersen, Panagiotis Fotiadis, Max B. Kelz, John A. Detre, Fabio Pasqualetti, Dani S. Bassett
Preprint · under review
Project page -
Edge-centric control energy follows an inverted-U trajectory through Alzheimer’s disease progression
Sovesh Mohapatra, Isabella Llano Aristizabal, Christoffer G. Alexandersen, John A. Detre, Dani S. Bassett
Preprint · under review
2023
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Meta-analysis of transfer learning for segmentation of brain lesions
Sovesh Mohapatra, Advait Gosai, Anant Shinde, Aleksei Rutkovskii, Sirisha Nouduri, Gottfried Schlaug
arXiv preprint -
Automated ensemble-based segmentation of adult brain tumors: A novel approach using the BraTS Africa Challenge data
Chiranjeewee Prasad Koirala†, Sovesh Mohapatra†, Advait Gosai, Gottfried Schlaug
arXiv preprint
2022
- The (In)Effectiveness of intermediate task training for domain adaptation and cross-lingual transfer learning
Sovesh Mohapatra†, Somesh Mohapatra†
arXiv preprint
Peer-reviewed journal articles
2026
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BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy
Rina Bao, Anna N. Foster, Ya’Nan Song, Rutvi Vyas, Ankush Kesri, Imad Eddine Toubal, Elham Soltani Kazemi, Gani Rahmon, Taci Kucukpinar, Mohamed Almansour, Mai-Lan Ho, K. Palaniappan, Dean Ninalga, Chiranjeewee Prasad Koirala, Sovesh Mohapatra, Gottfried Schlaug, Marek Wodzinski, Henning Muller, David G. Ellis, Michele R. Aizenberg, M. Arda Aydın, Elvin Abdinli, Gozde Unal, Nazanin Tahmasebi, Kumaradevan Punithakumar, Tian Song, Yun Peng, Sara V. Bates, Randy Hirschtick, P. Ellen Grant, Yangming Ou
IEEE Transactions on Medical Imaging, 45(4), 1711–1725 -
Mapping functional brain organization using artificial intelligence
Tianjia Zhu, Sovesh Mohapatra, Shufang Tan, Minhui Ouyang, Hao Huang
Chemical & Biomedical Imaging, 4(4), 469–484
2024
- Machine-learning based prediction of future outcome using multimodal MRI during early childhood
Minhui Ouyang, Matthew T. Whitehead, Sovesh Mohapatra, Tianjia Zhu, Hao Huang
Seminars in Fetal and Neonatal Medicine, 29(2–3), 101561
2023
- Identifying the engagement of a brain network during a targeted tDCS-fMRI experiment using a machine learning approach
Anant Shinde†, Sovesh Mohapatra†, Gottfried Schlaug
PLOS Computational Biology, 19(4), e1011012
2020
- Repurposing therapeutics for COVID-19: Rapid prediction of commercially available drugs through machine learning and docking
Sovesh Mohapatra, Prathul Nath, Manisha Chatterjee, Neeladrisingha Das, Deepjyoti Kalita, Partha Roy, Soumitra Satapathi
PLOS ONE, 15(11), e0241543
Conference and workshop papers
2025
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TReND: Transformer-derived features and Regularized NMF for neonatal functional network delineation
Sovesh Mohapatra, Minhui Ouyang, Shufang Tan, Jianlin Guo, Lianglong Sun, Yong He, Hao Huang
MICCAI 2025, LNCS 15971, pp. 660–669
Project page · Preprint -
An ensemble approach for segmentation of neonatal HIE lesions
Chiranjeewee Prasad Koirala†, Sovesh Mohapatra†, Gottfried Schlaug
AI for Brain Lesion Detection and Trauma Video Action Recognition (BONBID-HIE 2023), LNCS 14567, pp. 23–27
2024
- Automated ensemble method for pediatric brain tumor segmentation
Shashidhar Reddy Javaji†, Advait Gosai†, Sovesh Mohapatra†, Gottfried Schlaug
Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation (BraTS 2023), LNCS 14669, pp. 211–220
Preprint
2023
- SAM vs BET: A comparative study for brain extraction and segmentation of magnetic resonance images using deep learning
Sovesh Mohapatra, Advait Gosai, Gottfried Schlaug
Medical Imaging meets NeurIPS
2022
- Sentiment is all you need to win US presidential elections
Sovesh Mohapatra†, Somesh Mohapatra†
NLP4DH, AACL-IJCNLP, pp. 15–20
Preprint
Manuscripts in preparation
2026
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Brain Network Control Across the Human Lifespan
Sovesh Mohapatra, Steven Meisler, Fabio Pasqualetti, Theodore D. Satterthwaite, Dani S. Bassett
In preparation -
Citation homophily in science, before and after large language models
Xiaohuan Xia†, Sovesh Mohapatra†, David Lydon-Staley, Dani S. Bassett
In preparation -
What changes between preprint and the journal? Quantifying the effect of peer review
Sovesh Mohapatra, David Lydon-Staley, Dani S. Bassett
In preparation
Conference abstracts and presentations
2024
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Graph kernel assisted robust individual and group level functional brain parcellation (GRAFP)
Sovesh Mohapatra, Minhui Ouyang, Qinmu Peng, Hao Huang
ISMRM & ISMRT Annual Meeting & Exhibition -
Differential myelination maturation across cortical regions and white matter tracts during infancy
Ruolin Li, Wentao Wu, Sovesh Mohapatra, Kay Sindabizera, Ziqin Zhang, Chancellor Lee, Minhui Ouyang, Hao Huang
ISMRM & ISMRT Annual Meeting & Exhibition
2019
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Magneto-Dielectric Hyperthermia Therapy for Adenocarcinoma
Sovesh Mohapatra, Soumitra Satapathi
MRS Spring Meeting -
Inorganic Halide Perovskite Single Crystal—Growth Mechanism, Structural and Optical Properties
Sovesh Mohapatra, Naveen Tailor, Soumitra Satapathi
MRS Fall Meeting