
Ahmed Shoyeb Raihan
PhD in Industrial Engineering, in progress
Dissertation title: Toward Data-Efficient, Adaptive Sequential Learning Algorithms for Smart and Autonomous Manufacturing
Students collaborate, develop new methods, and apply data science to research problems across engineering and health.




PhD in Industrial Engineering, in progress
Dissertation title: Toward Data-Efficient, Adaptive Sequential Learning Algorithms for Smart and Autonomous Manufacturing

PhD in Industrial Engineering, in progress
Dissertation title: Deep Generative Models for Efficient Video Transmission in Healthcare and Industrial Anomaly Detection
Co-advised with Dr. Srinjoy Das
PhD in Industrial Engineering, in progress
Research focus: Machine Learning and Data-Driven Decision Systems
Co-advised with Dr. Srinjoy Das
MS in Industrial Engineering
Thesis: Synthetic Data-Driven Early Prediction Framework for Acute Kidney Injury

PhD in Industrial Engineering
Thesis: Towards Reliable Defect Detection in Laser Additive Manufacturing: AI-Driven Solutions for Domain-Specific and Interconnected Challenges
Co-chair with Dr. Zhichao Liu
MS in Industrial Engineering
Thesis: Attentive Optimism in the Face of Uncertainty: Balancing Exploration Exploitation in Multi-Armed Bandits

MS in Industrial Engineering
Thesis: Changes in Psychiatric Diagnosis Associated With SARS-CoV-2 Infection and Predicting the Development of New Psychiatric Illness in COVID Patients: A Study Using the US National COVID Cohort Collaborative (N3C)

MS in Industrial Engineering
Thesis: Data-Driven Approaches for Achieving Carbon Neutrality: Predictive Models for Reducing CO2 Emissions and Enhancing Industrial Sustainability

MS in Industrial Engineering
Thesis: Prediction of Anomalous Events with Data Augmentation and Hybrid Deep Learning Approach

MS in Industrial Engineering
Thesis: Spatio-Temporal Deep Learning Approaches for Addressing Track Association Problem Using Automatic Identification System (AIS)

MS in Industrial Engineering
Thesis: A Machine Learning Approach for Early Diagnosis of Transthyretin Amyloid Cardiomyopathy Among Heart Failure Patients

MS in Industrial Engineering
Thesis: Accelerating Manufacturing Decisions Using Bayesian Optimization

MS in Industrial Engineering
Thesis: Physics Infused LSTM Network for Track Association Based on Marine Vessel Automatic Identification System Data

MS in Industrial Engineering
Thesis: Developing Artificial Intelligence Tools to Investigate the Phenotypes and Correlates of Chronic Kidney Disease Patients in West Virginia

MS in Industrial Engineering
Thesis: Bottleneck Management through Strategic Sequencing in Smart Manufacturing Systems
Co-chair with Dr. Thorsten Wuest