Conference Papers
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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. (In press)
- 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. (In press)
- 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.
- 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.
- 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.
Poster Presentations
Harold Wang, Beth Ann Sweezer, Xunfei Jiang, Mahdi Ebrahimi. "
Machine Learning-based Energy-efficient GPU-intensive Workload Management for Data Centers", SoCal REU Symposium 2024, July 24, 2024, Harvey Mudd College, Claremont, CA.
- Eric Schmitt, Evan Zaremba, Neha Ananthavaram, Li Liu, Mario Giraldo, Xunfei Jiang. "Ecosystem-Based Wildfire Risk Prediction with Machine Learning", SoCal REU Symposium 2024, July 24, 2024, Harvey Mudd College, Claremont, CA.
- Laila Miles Kaddoura, Alexis Fernandez, Erin Brown, Neha Ananthavaram, and Taehyung Wang. "ENERGY PREDICTION FOR AUTOMOBILE AIR CONDITIONING SYSTEMS", SoCal REU Symposium 2024, July 24, 2024, Harvey Mudd College, Claremont, CA.
Rowena Quinn,
Mahek Desai, Marjan Asadinia, “SMART-WRITE: Adaptive Learning-based Write Energy Optimization for Phase Change Memory”, SoCal REU Symposium 2024, July 24, 2024, Harvey Mudd College, Claremont, CA.- Jake Ekoniak, Apoorva Rumale, Marjan Asadinia, "Efficient Machine Learning-based Error Prediction for Phase Change Memory"
- Bhumil Kukadiya, David J. Castrejon, Connor Wang, Denys Osmak, Li Liu, Mario Giraldo. "Energy-efficient Geo-Information Visualization and User Interaction", IEEE GREEN ENERGY AND SMART SYSTEMS CONFERENCE (IGESSC) 2023, Long Beach, CA, Nov 13, 2023. (Best Poster Award)
- Rachel Finley, "On the Efficacy of Machine Learning to Inform Thermal and Energy Aware Load Balancing for GPU Clusters". 13th Annual Out in Science, Technology, Engineering, and Mathematics (oSTEM) Conference, Anaheim, CA, Nov 9-12, 2023.
- Rachel Finley and Xunfei Jiang, "On the Efficacy of Machine Learning to Inform Thermal and Energy Aware Load Balancing for GPU Clusters". SoCal REU Symposium 2023, July 26, 2023, University of Southern California, Los Angeles, LA.
- Matthew Smith, Luke Zhao, Jonathan Cordova, Xunfei Jiang, Mahdi Ebrahimi, "Machine Learning-based Energy-efficient Workload Management for Data Centers", SoCal REU Symposium 2023, July 26, 2023, University of Southern California, Los Angeles, LA.
- David J. Castrejon, Connor Wang, Denys Osmak, Bhumil Kukadiya, Li Liu, Mario Giraldo, Xunfei Jiang, "California Wildfire Risk Prediction and Visualization". SoCal REU Symposium 2023, July 26, 2023, University of Southern California, Los Angeles, LA.
- Adel Tazhibi, Nathan Dong, Kavyalata Kothari, Taehyung Wang, "Energy Prediction for Automobile Air Conditioning Systems". SoCal REU Symposium 2023, July 26, 2023, University of Southern California, Los Angeles, LA.