Skip to Content

User menu

Navigation

Research Experience for Undergraduate Studies

Publications and Presentations

Conference Papers
  • Sullivan Gleason, Prince Kakadiya, Marjan Asadinia. "Energy-Efficient Encoding for Multi-Level Cell PCM Using VQ-VAE-Based Masking". IEEE IEMCON 2025 (IEEE 16th Annual Information Technology, electronics and mobile communications conference), Berkeley, California, Oct 29-31, 2025. (In Press)
  • Solomon Xu, Prince Kakadiya, Marjan Asadinia. "Proactive Soft Error Prediction in Multi-Level Cell PCM Using Machine Learning". IEEE IEMCON 2025 (IEEE 16th Annual Information Technology, electronics and mobile communications conference), Berkeley, California, Oct 29-31, 2025. (In Press)
  • Sullivan Gleason, Prince Kakadiya, Marjan Asadinia. "Learn2Mask: A Predictive Encoding Framework for Energy-Efficient PCM Writes". IEEE AIBthings 2025 (IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings), September 06 – 07, 2025, Central Michigan University (CMU), USA. (In Press)
  • Mark Fullton, Xiaojun Ruan, Xunfei Jiang, Mahdi Ebrahimi. "Reducing Exposure Bias in Deep Learning Models for GPU Temperature Prediction in Data Centers".The 24th IEEE International Conference on Machine Learning and Applications (ICMLA 2025), Boca Raton, Florida, U.S.A., December 3-5, 2025. (In Press)
  • Elijah Sagaran, Martin Ha, Olena Molla, Shanlin Qian, Rahi Misra, Mario Giraldo, Rashida Hasan, Li Liu, and Xunfei Jiang. "A Comparative Analysis of Object Detection Models for Plant Leaf Counting under Overlapping Foliage Conditions", 2025 Symposium for Undergraduate Research in Data Science, Systems, and Security (REU Symposium 2025), Collocated at the 25th IEEE International Conference on Data Mining (ICDM 2025), November 12-15, 2025, Washington DC, USA. (In-press)
  • Josh Penaojas, Kousha Salimkhan, Mark Fullton, Henry Locke, Matthew Smith, Chongye Wang, Xiaojun Ruan, Mahdi Ebrihimi, Xunfei Jiang. "GPU Thermal-aware Energy-efficient Workload Scheduling for Data Centers", 2nd International Workshop on Digital Sustainability for Comsumer Applications: Innovations in Communications and Networking (DISCA'26), Collated at IEEE Consumer Communications & Networking Conference 2026. Jan 9-12, 2026. (In Press)
  • 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.
  • 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. 
  • 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 

  •  

    Mark Fullton, Kousha Salimkhan. "GPU Temperature Prediction for Thermal-aware Load Balancing". SoCal REU Symposium 2025, July 31, 2025, Harvey Mudd College, Claremont, CA.

  • Elijah Sagaran, Ollena Mona, Martin Ha, Shalin Qian, Rahi Misra. "A Comparative Analysis of Object Detection Models for Accurate Leaf Counting in Overlapping Foliage Conditions". SoCal REU Symposium 2025, July 31, 2025, Harvey Mudd College, Claremont, CA.

     

  • Solomon Xu, Prince Kakadiya, Marjan Asadinia, "Machine Learning Based Prediction of Software Errors in Phase Change Memory", SoCal REU Symposium 2025, July 31, 2025, Harvey Mudd College, Claremont, CA.
  • Sullivan Gleason, Prince kakadiya, Marjan Asadinia. "Learning to Write Efficiently: VQ-VAE-Based Masking for Low-Energy PCM". SoCal REU Symposium 2025, July 31, 2025, Harvey Mudd College, Claremont, CA.
  • 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.
Research Experience for Undergraduate Studies
© California State University, Northridge
18111 Nordhoff Street, Northridge, CA 91330
Phone: (818) 677-1200 / Contact Us