| 2026 | SSBSE | Prompt Optimization for LLM Code Generation via Reinforcement Learning. | Ali Mohammadi Esfahani, Nafiseh Kahani, Samuel A. Ajila |
| 2024 | COMPSAC | A Federated Learning Framework Based on Spatio-Temporal Agnostic Subsampling (STAS) for Forest Fire Prediction. | Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila, Kshirasagar Naik, Marzia Zaman, Richard Purcell, Srinivas Sampalli, Thambirajah Ravichandran |
| 2023 | COMPSAC | Spatio-Temporal Agnostic Deep Learning Modeling of Forest Fire Prediction Using Weather Data. | Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila, Marzia Zaman, Kshirasagar Naik, Richard Purcell, Srinivas Sampalli |
| 2022 | IRI | Multilayer Meta-Learning Approach to Forecasting Air Pollutants. | Samuel A. Ajila |
| 2022 | IRI | A Deep Learning Sequential-based Model for Predicting Victories in Video Games. | Franois Blanc, Azhar Syed, Ali Mohammadi Esfahani, Sandeep Reddy Venna, Samuel A. Ajila |
| 2022 | IRI | Dynamic Packet Filtering Using Machine Learning. | Chandan Sai Chebrolu, Chung-Horng Lung, Samuel A. Ajila |
| 2021 | IRI | Evaluating Deep Neural Nets and Optimized Hyperparameters Random Forest for Decision Support Systems. | Samuel A. Ajila, Nidheesh Vijay |
| 2017 | COMPSAC | An Adaptive Diversity-Based Ensemble Method for Binary Classification. | Xing Fan, Chung-Horng Lung, Samuel A. Ajila |
| 2017 | COMPSAC | The Impact of Database Layer on Auto-Scaling Decisions in a 3-Tier Web Services Cloud Resource Provisioning. | Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung |
| 2016 | BigData | Mobile Network Traffic Prediction Using MLP, MLPWD, and SVM. | Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung, Wayne Ding |
| 2015 | COMPSAC | Constraint-Based Multi-Tenant SaaS Deployment Using Feature Modeling and XML Filtering Techniques. | Yang Cao, Chung-Horng Lung, Samuel A. Ajila |
| 2015 | COMPSAC | Adaptive Clustering Techniques for Software Components and Architecture. | Duo Liu, Chung-Horng Lung, Samuel A. Ajila |
| 2015 | ICSE | Towards an Autonomic Auto-scaling Prediction System for Cloud Resource Provisioning. | Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung |
| 2014 | COMPSAC | Measuring Prediction Sensitivity of a Cloud Auto-scaling System. | Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung |
| 2013 | COMPSAC | Cloud Client Prediction Models Using Machine Learning Techniques. | Samuel A. Ajila, Akindele A. Bankole |
| 2013 | COMPSAC | Software Requirements Elicitation - A Controlled Experiment to Measure the Impact of a Native Natural Language. | Sajjad Mahmood, Samuel A. Ajila |
| 2013 | IRI | Efficient live wide area VM migration with IP address change using type II hypervisor. | Samuel A. Ajila, Omhenimhen Iyamu |
| 2011 | IRI | E-CAL: A formal language for software model evolution. | Samuel A. Ajila |
| 2011 | IRI | Mobile databases - Synchronization & conflict resolution strategies using SQL server. | Samuel A. Ajila, Ahmed Al-Asaad |