See Google Scholar Page for the complete lists, including recent preprints. * below indicates equal contribution

• FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning.
  Alina Devkota, Jacob Thrasher, Donald Adjeroh, Binod Bhattarai, Prashnna K Gyawali.
  CVPR Findings, 2026.
  Code

• Supervised Pretraining for Material Property Prediction.
  Chowdhury Mohammad Abid Rahman, Aldo H Romero, Prashnna K Gyawali.
  Nature Communications Materials, 2025.
  Code

• NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance.
  Anju Chhetri, Jari Korhonen, Prashnna Gyawali, Binod Bhattarai.
  MICCAI, 2025.
  

• CURE: Centroid-guided Unsupervised Representation Erasure for Facial Recognition Systems.
  Shivam, Nima Najafzadeh, Yenumula Reddy, Prashnna Gyawali.
  IEEE IJCB, 2025.
  

• AutoTA: A Dynamic Intent-Based Virtual Teaching Assistant for Students Using Open Source LLMs.
  Rajashree Dahal, Greg Murray, Robin Chataut, Mohamed Hefeida, Anurag Srivastava, Prashnna Gyawali.
  IEEE Access, 2025.
  

• AI analysis for ejection fraction estimation from 12-lead ECG.
  Alina Devkota, Rukesh Prajapati, Amr El-Wakeel, Donald Adjeroh, Brijesh Patel, Prashnna Gyawali.
  Scientific Reports, 2025.
  Code

• TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis.
  Jacob Thrasher, Alina Devkota, Ahmed Tafti, Binod Bhattarai, Prashnna Gyawali.
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2024.
  Code

• CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities.
  Pranav Poudel, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Prashnna Gyawali, Binod Bhattarai.
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2024.
  

• Enhancing material property prediction with ensemble deep graph convolutional networks.
  Chowdhury Mohammad Abid Rahman, Ghadendra Bhandari, Nasser M Nasrabadi, Aldo Humberto Romero, Prashnna Gyawali.
  Frontiers in Materials (Computational Materials Science), 2024.
  

• A deep-learning algorithm to classify skin lesions from mpox virus infection.
  Alexander H Thieme, Yuanning Zheng, Gautam Machiraju, Chris Sadee, Mirja Mittermaier, Maximilian Gertler, Jorge L Salinas, Krithika Srinivasan, Prashnna K Gyawali, Francisco Carrillo-Perez, Angelo Capodici, Maximilian Uhlig, Daniel Habenicht, Anastassia Löser, Maja Kohler, Maximilian Schuessler, David Kaul, Johannes Gollrad, Jackie Ma, Christoph Lippert, Kendall Billick, Isaac Bogoch, Tina Hernandez-Boussard, Pascal Geldsetzer, Olivier Gevaert.
  Nature Medicine, 2023.
  

• Continual Unsupervised Disentangling of Self-Organizing Representations.
  Zhiyuan Li, Xiajun Jiang, Ryan Missel, Prashnna K Gyawali, Nilesh Kumar, Linwei Wang.
  International Conference on Learning Representations (ICLR), 2023.
  

• GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studies.
  Zihuai He, Linxi Liu, Michael E Belloy, Yann Le Guen, Aaron Sossin, Xiaoxia Liu, Xinran Qi, Shiyang Ma, Prashnna K Gyawali, Tony Wyss-Coray, Hua Tang, Chiara Sabatti, Emmanuel Candès, Michael D Greicius, Iuliana Ionita-Laza.
  Nature Communications, 2022.
  

• Ensembling improves stability and power of feature selection for deep learning models.
  Prashnna K Gyawali, Xiaoxia Liu, James Zou, Zihuai He.
  Machine Learning in Computational Biology (MLCB), 2022.
  

• Vela pulsar: single pulses analysis with machine learning techniques.
  Carlos O Lousto, Ryan Missel, Harshkumar Prajapati, Valentina Sosa Fiscella, Federico G López Armengol, Prashnna K Gyawali, Linwei Wang, Nathan D Cahill, Luciano Combi, Santiago del Palacio, Jorge A Combi, Guillermo Gancio, Federico García, Eduardo M Gutiérrez and Fernando Hauscarriaga.
  Monthly Notices of the Royal Astronomical Society, 2022.
  

• Latent-optimization based Disease-aware Image Editing for Medical Image Augmentation.
  Aakash Saboo, Prashnna K Gyawali, Ankit Shukla, Neeraj Jain, Manoj Sharma and Linwei Wang.
  British Machine Vision Conference (BMVC), 2021.
  

• Learning to Disentangle Inter-subject Anatomical Variations in Electrocardiographic Data.
  Prashnna K Gyawali, Jaideep Vitthal Murkute, Maryam Toloubidokhti, Xiajun Jiang, B. Milan Horacek, John Sapp and Linwei Wang.
  IEEE Transacations on Biomedical Engineering (TBE), 2021.
  Dataset

• Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization.
  Prashnna K Gyawali, Sandesh Ghimire, Linwei Wang.
  IEEE International Conference on Data Mining (ICDM), 2020.
  Code

• Semi-supervised Medical Image Classification with Global Latent Mixing.
  Prashnna K Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, Linwei Wang.
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2020.
  Code

• Progressive Learning and Disentanglement of Hierarchical Representations.
  Zhiyuan Li, Jaideep Vitthal Murkute, Prashnna K Gyawali, Linwei Wang.
  International Conference on Learning Representations (ICLR), 2020.
  

• Sequential Factorized Autoencoder for Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms.
  Prashnna K. Gyawali, B. Milan Horacek, John Sapp, Linwei Wang.
  IEEE Transacations on Biomedical Engineering (TBE), 2019.
  

• Improving Disentangled Representation Learning with the Beta Bernoulli Process.
  Prashnna K Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horacek, John Sapp, Linwei Wang.
  IEEE International Conference on Data Mining (ICDM), 2019.
  Code

• Semi-Supervised Learning by Disentangling and Self-Ensembling over Stochastic Latent Space.
  Prashnna K Gyawali*, Zhiyuan Li*, Sandesh Ghimire, Linwei Wang.
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2019.
  Code

• Automatic Coordinate Prediction of the Exit of Ventricular Tachycardia from 12-lead Electrocardiogram.
  Prashnna K Gyawali, Shuhang Chen, Huafeng Liu, B. Milan Horacek, John Sapp, Wang L.
  Computing in Cardiology (CinC), 2017. (Semifinalist for Young Investigator Award)
  

• AI 720 Generative AI
  Instructor
  West Virginia University, Spring 2025.
  

• CPE620 Deep Learning
  Instructor
  West Virginia University, Spring 2024, Spring 2025.
  

• EE565 Advanced Image Processing
  Instructor
  West Virginia University, Fall 2023, Fall 2024.
  

• EE465 Digital Image Processing
  Instructor
  West Virginia University, Spring 2024.
  

• Image Processing and Pattern Recognition
  Instructor
  Institute of Engineering, Tribhuwan University, 2015.