Ahmed Shoyeb Raihan successfully defended his PhD dissertation titled “Toward Data-Efficient, Adaptive Sequential Learning Algorithms for Smart and Autonomous Manufacturing”. Congratulations to Ahmed on this important achievement!
Recent News
Recent publications, student achievements, research awards, and funded projects from the Systems Analytics Lab.
Our paper titled “CA-SMART: An Active Learning Framework for Accelerating Materials Discovery Under Resource Constraints” has been accepted for publication in Applied Soft Computing. Congratulations to the lead author, Ahmed Shoyeb Raihan (PhD student), and the entire research team!
PhD candidate Ahmed Shoyeb Raihan received the Excellence in Research Award at the PhD level during the 2026 Honors Day celebration. Congratulations to Ahmed on this well-deserved recognition!
Our paper titled “Synthetic Data-Augmented Machine Learning for 30-Day Readmission Prediction in Patients With Chronic Conditions: A Retrospective Real-World Study” has been published in BMJ Open. Congratulations to Maryam Ramazani and the interdisciplinary research team!
Our paper titled “Hybrid Temporal Modeling and Generative Augmentation for Imbalanced Multivariate Time Series Anomaly Detection in Engineering Systems” has been published in the Journal of Computing and Information Science in Engineering. Congratulations to the lead author, Ahmed Shoyeb Raihan (PhD student), and the team!
Our paper titled “Towards Efficient Real-Time Video Motion Transfer via Generative Time Series Modeling” has been published in Multimedia Tools and Applications. Congratulations to the lead author, Tasmiah Haque (PhD student), and the team!
Our paper titled “Synthetic Data-Driven Early Prediction Framework for Acute Kidney Injury in Patients Receiving Vancomycin and Ceftazidime/Avibactam” has been published in Pharmacotherapy. Congratulations to the lead author, Maryam Ramazani, and the interdisciplinary research team!
Our project titled “Novel Techniques to Enable Label-Free Defect Detection in Additive Manufacturing for Distributed Edge Computing Environments” has received support from Qualcomm. This project advances data-efficient defect detection for intelligent and distributed manufacturing systems.
Our project titled “Self-Supervised Segmentation and Physics-Guided Diffusion Synthesis for Quality Control in Laser Additive Manufacturing” has received a NAIRR Pilot allocation. This support strengthens our work on foundation models, synthetic data, and reliable manufacturing intelligence.
Our paper titled “Evaluating the Kidney Disease Progression Using a Comprehensive Patient Profiling Algorithm: A Hybrid Clustering Approach” has been published in PLOS ONE. This work was completed in collaboration with the WVU School of Pharmacy. Congratulations to the entire team!
Congratulations to Israt Zarin Era on completing her PhD in Industrial Engineering and to Hamed Khosravi on completing his MS in Industrial Engineering. Their research contributions have greatly strengthened the Systems Analytics Lab!
Our work led by Ahmed Shoyeb Raihan was selected as a finalist in the 2025 NAMRC 53 Best Student Research Paper Competition. Congratulations to Ahmed and the entire research team on this national recognition!
Our paper titled “A Data-Efficient Sequential Learning Framework for Melt Pool Defect Classification in Laser Powder Bed Fusion” has been accepted in the Journal of Manufacturing Processes. Congratulations to the lead author, Ahmed Shoyeb Raihan (PhD student), and the team!
Our paper titled “In-Situ Melt Pool Characterization via Thermal Imaging for Defect Detection in Directed Energy Deposition Using Vision Transformers” has been accepted in the Journal of Manufacturing Processes. Congratulations to the lead author, Israt Zarin Era (PhD student), and the team!