| 2026 | ICPR | TopGrad-CF: Gradient-Guided Counterfactual Explanations for Time Series Classification. | Pouya Hosseinzadeh, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi |
| 2025 | CIKM | Pruning Strategies for Backdoor Defense in LLMs. | Santosh Chapagain, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi |
| 2025 | DSAA | CACTUS: Cross-Aligned Counterfactual Explanation for Time Series Classification. | Pouya Hosseinzadeh, Peiyu Li, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi |
| 2025 | DSAA | Diverse and Plausible Counterfactual Explanations for Time Series via Latent Space Optimization. | Peiyu Li, Omar Bahri, Pouya Hosseinzadeh, Soukana Filali Boubrahimi, Shah Muhammad Hamdi |
| 2025 | ICDM | TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation. | MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi |
| 2025 | SDM | AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation. | MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi |
| 2024 | ICMLA | Enhancing Multivariate Time Series-Based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning. | MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi |
| 2024 | ICMLA | ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation. | MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi |
| 2024 | ICMLA | M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps. | Peiyu Li, Omar Bahri, Soukana Filali Boubrahimi, Shah Muhammad Hamdi |
| 2024 | ICMLA | Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data. | Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi |
| 2024 | ICPR | Transformer Model for Multivariate Time Series Classification: A Case Study of Solar Flare Prediction. | Khaznah Alshammari, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi |
| 2024 | ICPR | Denoising Optimization-Based Counterfactual Explanations for Time Series Classification. | Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi |
| 2024 | ICPR | FAT-LSTM: A Multimodal Data Fusion Model with Gating and Attention-Based LSTM for Time-Series Classification. | Pouya Hosseinzadeh, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi |
| 2024 | ICWSM | The LGBTQ+ Minority Stress on Social Media (MiSSoM) Dataset: A Labeled Dataset for Natural Language Processing and Machine Learning. | Cory J. Cascalheira, Santosh Chapagain, Ryan E. Flinn, Dannie Klooster, Danica Laprade, Yuxuan Zhao, Emily M. Lund, Alejandra Gonzalez, Kelsey Corro, Rikki Wheatley, Ana Gutierrez, Oziel Garcia Villanueva, Koustuv Saha, Munmun De Choudhury, Jillian R. Scheer, Shah Muhammad Hamdi |
| 2023 | DaWaK | Motif Alignment for Time Series Data Augmentation. | Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi |
| 2023 | DaWaK | Attention-Based Counterfactual Explanation for Multivariate Time Series. | Peiyu Li, Omar Bahri, Soukana Filali Boubrahimi, Shah Muhammad Hamdi |
| 2023 | ICMLA | End-to-End Attention/Transformer Model for Solar Flare Prediction from Multivariate Time Series Data. | Khaznah Alshammari, Kartik Saini, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi |
| 2023 | ICMLA | Shapelet-Preserving Bootstrapping For Time Series Data Augmentation. | Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, Soukana Filali Boubrahimi, Shah Muhammad Hamdi |
| 2023 | ICMLA | METFORC: Classification with Meta-Learning and Multimodal Stratified Time Series Forest. | Pouya Hosseinzadeh, Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi |
| 2023 | ICMLA | Adversarial Attack Driven Data Augmentation for Time Series Classification. | Peiyu Li, Pouya Hosseinzadeh, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi |
| 2022 | CIKM | On the Mining of Time Series Data Counterfactual Explanations using Barycenters. | Soukana Filali Boubrahimi, Shah Muhammad Hamdi |
| 2022 | ICMLA | Temporal Rule-Based Counterfactual Explanations for Multivariate Time Series. | Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi |
| 2022 | ICMLA | Fast Counterfactual Explanation for Solar Flare Prediction. | Peiyu Li, Omar Bahri, Soukana Filali Boubrahimi, Shah Muhammad Hamdi |
| 2022 | ICPR | Physics-Informed Neural Networks for Solar Wind Prediction. | Rob Johnson, Soukana Filali Boubrahimi, Omar Bahri, Shah Muhammad Hamdi |
| 2022 | ICPR | Motif-Guided Time Series Counterfactual Explanations. | Peiyu Li, Soukana Filali Boubrahimi, Shah Muhammad Hamdi |
| 2022 | ICWSM | Classifying Minority Stress Disclosure on Social Media with Bidirectional Long Short-Term Memory. | Cory J. Cascalheira, Shah Muhammad Hamdi, Jillian R. Scheer, Koustuv Saha, Soukaina Filali Boubrahimi, Munmun De Choudhury |
| 2021 | ICMLA | Time Series Data Augmentation using Time-Warped Auto-Encoders. | Shain Shahid Chowdhury, Soukana Filali Boubrahimi, Shah Muhammad Hamdi |
| 2021 | ICMLA | Shapelets-based Data Augmentation for Time Series Classification. | Peiyu Li, Soukana Filali Boubrahimi, Shah Muhammad Hamdi |
| 2021 | ICMLA | Sequence Model-based End-to-End Solar Flare Classification from Multivariate Time Series Data. | Ali Ahsan Muhummad Muzaheed, Shah Muhammad Hamdi, Soukana Filali Boubrahimi |
| 2019 | CIKM | Tensor Decomposition-based Node Embedding. | Shah Muhammad Hamdi, Soukaina Filali Boubrahimi, Rafal A. Angryk |
| 2019 | ICDM | Interpretable Feature Learning of Graphs using Tensor Decomposition. | Shah Muhammad Hamdi, Rafal A. Angryk |
| 2018 | ICPR | Scalable kNN Search Approximation for Time Series Data. | Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Shah Muhammad Hamdi, Rafal A. Angryk |
| 2016 | ICDM | A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns. | Shah Muhammad Hamdi, Berkay Aydin, Rafal A. Angryk |