Publications

Selected journal articles are grouped by research area. My complete and current publication record is available on Google Scholar. A detailed record is also available in my curriculum vitae.

Autonomous Experimentation and Manufacturing

  1. Raihan, A. S., Liu, Z., Bhuiyan, T. H., and Ahmed, I. (2026). “CA-SMART: An active learning framework for accelerating materials discovery under resource constraints.Applied Soft Computing.

  2. Era, I. Z., Ahmed, I., Liu, Z., and Das, S. (2025). “An unsupervised approach towards promptable porosity segmentation in laser powder bed fusion by Segment Anything.npj Advanced Manufacturing.

  3. Raihan, A. S., Harper, A., Era, I. Z., et al. (2025). “A data-efficient sequential learning framework for melt pool defect classification in laser powder bed fusion.Journal of Manufacturing Processes.

  4. Era, I. Z., Zhou, F., Raihan, A. S., et al. (2025). “In-situ melt pool characterization via thermal imaging for defect detection in directed energy deposition using vision transformers.Journal of Manufacturing Processes.

  5. Ahmed, I., Bukkapatnam, S. T., Botcha, B., and Ding, Y. (2024). “Toward futuristic autonomous experimentation: A surprise-reacting sequential experiment policy.IEEE Transactions on Automation Science and Engineering.

  6. Raihan, A. S., Khosravi, H., Bhuiyan, T. H., and Ahmed, I. (2024). “An augmented surprise-guided sequential learning framework for predicting melt pool geometry.Journal of Manufacturing Systems.

  7. Khosravi, H., Olajire, T., Raihan, A. S., and Ahmed, I. (2024). “A data-driven sequential learning framework to accelerate and optimize multi-objective manufacturing decisions.Journal of Intelligent Manufacturing.

Health Informatics

  1. Brothers, T., Adhikari, K., Ramazani, M., et al. (2026). “Synthetic data-augmented machine learning for 30-day readmission prediction in patients with chronic conditions.BMJ Open.

  2. Shahbazi, M. A., Al-Mamun, M. A., Brothers, T., and Ahmed, I. (2025). “A machine learning framework for identifying phenotypes in chronic kidney disease.Healthcare Analytics.

  3. Ramazani, M., Brothers, T., Ahmed, I., and Al-Mamun, M. A. (2025). “Synthetic data-driven early prediction framework for acute kidney injury in patients receiving vancomycin and ceftazidime/avibactam.Pharmacotherapy.

  4. Al-Mamun, M. A., Jeun, K. J., Brothers, T., et al. (2025). “Evaluating kidney disease progression using a comprehensive patient profiling algorithm.PLOS ONE.

  5. Rahman, A., Russell, M., Zheng, W., et al. (2024). “SARS-CoV-2 infection is associated with an increase in new diagnoses of schizophrenia spectrum and psychotic disorder.PLOS ONE.

Spatiotemporal Modeling and Foundational Methods

  1. Haque, T., Syed, M. A. B., Jeong, B., et al. (2026). “Towards efficient real-time video motion transfer via generative time-series modeling.Multimedia Tools and Applications.

  2. Haque, T., Syed, M. A. B., Das, S., and Ahmed, I. (2024). “Advancing marine surveillance with a physics-infused neural network for vessel tracking.Journal of Marine Science and Engineering.

  3. Syed, M. A. B. and Ahmed, I. (2023). “A CNN-LSTM architecture for marine vessel track association using automatic identification system data.Sensors.

  4. Ahmed, I., Jun, M., and Ding, Y. (2022). “A spatiotemporal track association algorithm for tracking marine vessels using automatic identification system data.IEEE Transactions on Intelligent Transportation Systems.

  5. Ahmed, I., Galoppo, T., Hu, X., and Ding, Y. (2022). “Graph regularized autoencoder and its application in unsupervised anomaly detection.IEEE Transactions on Pattern Analysis and Machine Intelligence.

  6. Ahmed, I., Hu, X., Acharya, J., and Ding, Y. (2021). “Unsupervised point anomaly detection using neighborhood structure assisted non-negative matrix factorization.Journal of Machine Learning Research.