Publications

1. Laila Miles Kaddoura, Alexis Fernandez, Erin Brown, Neha Ananthavaram, and Taehyung Wang, “Machine Learning for Fuel Consumption and Emissions Analysis: Impact of Vehicle Air Conditioning Systems”, IEEE Annual Computing and Communication Workshop and Conference (IEEE CCWC 2025), Las Vegas, Nevada, January 6–8, 2025.


2. Jake Ekoniak, Apoorva Rumale, Marjan Asadinia, “ML-PreP: Machine Learning Based Error Prediction for Phase Change Memory”, IEEE 15th Annual Computing and Communication workshop and Conference (IEEE CCWC), 2025.


3. Mahek Desai, Rowena Quinn, Marjan Asadinia, “SMART-WRITE: Adaptive Learning-based Write Energy Optimization for Phase Change Memory”, IEEE 15th Annual Computing and Communication workshop and Conference (IEEE CCWC), 2025.


4. Harold Wang, Xunfei Jiang, and Mahdi Ebrahimi. "Scheduled Sampling for Recursive Multi-Step GPU Temperature Forecasting". The 23rd International Conference on Machine Learning and Applications (ICMLA 2024), Dec 18-20, 2024, Miami, FL, USA, 2024.


5. Laila Miles Kaddoura, Alexis Fernandez, Erin Brown, Neha Ananthavaram, and Taehyung Wang, “Machine Learning-Based Correlation Analysis of Fuel Consumption and Automobile Air Conditioning System Usage”, IEEE International Conference on Big Data (IEEE BigData 2024), Washington, DC, December 15–18, 2024.


6. Adel Tazhibi, Nathan Dong, Kavyalata Kothari, and Taehyung Wang. "Energy Prediction for Automobile Air Conditioning Systems". 2024 Symposium for Undergraduate Research in Data Science, Systems, and Security (REU Symposium 2024), Special Session at the 2024 IEEE International Conference on Big Data (IEEE BigData 2024), December 15-18, 2024, Washington DC, USA.


7. Eric Alexander Schmitt, Evan Joseph Zaremba, Neha Ananthavaram, Li Liu, Mario Giraldo, and Xunfei Jiang. "Ecosystem-Based Wildfire Risk Prediction with Machine Learning". 2024 Symposium for Undergraduate Research in Data Science, Systems, and Security (REU Symposium 2024), Special Session at the 2024 IEEE International Conference on Big Data (IEEE BigData 2024), December 15-18, 2024, Washington DC, USA.


8. D. J. Castrejon, C. Wang, D. Osmak, B. Kukadiya, L. Liu, M. Giraldo, X.-F. Jiang. "Machine Learning-based California Wildfire Risk Prediction and Visualization". The 22nd International Conference on Machine Learning and Applications (ICMLA 2023), Dec 15-17, 2023, Jacksonville, FL, USA, 2023, pp. 1212-1217, doi: 10.1109/ICMLA58977.2023.00182.


9. Apoorva Rumale, Jake Ekoniak, Marjan Asadinia, “PENN: Predicting Errors using Neural Network in Phase Change Memory”, Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, Dec 11-13, 2024.


10. Mahek Desai, Rowena Quinn, Marjan Asadinia, “ML-PCM: Machine Learning Technique for Write Optimization in Phase Change Memory (PCM)”, Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, Dec 11-13, 2024.


11. M. Smith, L. Zhao, J. Cordova, X.-F. Jiang, and M. Ebrahimi. “Machine Learning-based Energy-efficient Workload Management for Data Centers”. 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2024, pp. 799-802, doi: 10.1109/CCNC51664.2024.10454842.


12. M. Smith, L. Zhao, J. Cordova, X.-F. Jiang, and M. Ebrahimi. "Energy-efficient GPU-intensive Workload Scheduling for Data Centers". 2023 Symposium for Undergraduate Research in Data Science, Systems, and Security (REU Symposium 2023), Special Session at the 22nd International Conference on Machine Learning and Applications (ICMLA 2023), Dec 15-17, 2023, Jacksonville, FL, USA, 2023, pp. 1735-1740, doi: 10.1109/ICMLA58977.2023.00263.


13. K. Pham, D. Ward, S. Rubio, D. Shin,L. Zlotikman, S. Ramirez, T. Poplawski, and X.-F. Jiang, " California Wildfire Prediction using Machine Learning", the 21st IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2022), Bahamas, Dec 12-14, 2022.

Presentations