Project Accomplishments

J. Penojas and X. Jiang, “GPU Thermal-aware Energy-efficient Workload Scheduling for Data Centers”, 2nd International Workshop on Digital Sustainability for Consumer Applications: Innovations in Communications and Networking (DISCA’26), IEEE CCNC 2026 Conference on Jan 9-12, 2026.

D. Arteaga, “A Fusion Framework for Anomaly Detection in IoMT Environments Using GraphSAGE and Performer Transformer,” IEEE IEMCON 2025 at UC Berkeley. Developed and coauthored with A. Boghosian, A. M. Ignacio, S. Megerdichian, J. Villalobos Carrillo, and R. Hasan, Oct 29 – 31, 2025. Best Presenter Award in the Artificial Intelligence and Data-Driven Technologies session.

B. Zaher and M. Asadinia, “Interpretable Machine Learning for Phase-Change Memory Health Classification”, 2025 IEEE 16th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), IEEE UEMCON 2025, IBM New York, Oct 22-24, 2025.

Y. Montano and M. Asadinia, “CARE-PCM: Classification and Analysis of Reliability with Efficient Models for PCM”, 2026 IEEE 16th Annual Computing and Communication Workshop and Conference, (IEEE CCWC), University of Nevada, Las Vegas, 2026.

J. Drye and M. Asadinia, “Predicting Bit-Flip Errors in Multi-Level Cell Phase-Change Memory Using Machine Learning”, 2026 IEEE 5th International Conference on Computing and Machine Intelligence, (IEEE ICMI), Saudi Arabia, 2026.

A. Taylor and M. Asadinia, “Write Energy Estimation for Phase-Change Memory Using Regression Based Models”, 2026 IEEE 5th International Conference on Computing and Machine Intelligence, (IEEE ICMI), Saudi Arabia, 2026.

B. Zaher and M. Asadinia, “Lightweight Machine Learning for Reliable Phase-Change Memory”, Academic Forum, Marconi Society, UCLA, Nov 14, 2025.

J. Drye and M. Asadinia, “Machine Learning-Based Prediction of Bit-Flip Errors in Multi-Level Cell PCM”, Academic Forum, Marconi Society, UCLA, Nov 14, 2025.

A. Taylor and M. Asadinia, “Regression-Based Write Energy Estimation for Phase-Change Memory”, Academic Forum, Marconi Society, UCLA, Nov 14, 2025.

Andrew Boghosian

A. Jalili, M. Varga, S. Kimiagar, A. Leontiev and T. Sardarmehni, “Obstacle detection, classification, and localization using deep learning and Convolutional Neural Networks (CNN)”, Academic Forum, Marconi Society, UCLA, Nov 14, 2025

Dr. Silvia Carpitella and Mr. Jordan Aviles, along with colleagues Ms. Swarna Nadipudi and Mr. Hrutwik Tambe from California State University Northridge, had their abstract “A Decision-Making Model For Enhancing Aircraft Landing Gear Reliability” accepted for presentation at the American Society for Engineering Management (ASEM) 2025 International Annual Conference and 46th Annual Meeting.

Peer Mentor Amanda Arst and her mentees Victor Baron and Christine Douglas have been awarded College of Engineering & Computer Science Scholarships for the 2025-26 academic year. All three students attended the ECS Scholarship Donor Ceremony on May 8, 2025.

Nathan Durdella Vartenie Aramali Rasoul Narimani

The abstract “Strengthening Culturally Responsive Teaching to Support Hispanic and Underrepresented Student Success: The SECURE for Student Success Project” was approved for presentation-only format at the 2025 ASEE PSW Conference.

S. K. Ramesh, N. Durdella, V. Aramali and R. Narimani, “Strengthening Culturally Responsive Teaching to Support Hispanic and Underrepresented Student Success: The SECURE for Student Success Project”, Leading Tomorrow: Educating Engineers for Innovation, Collaboration, and Entrepreneurship, Session I – Inclusive and Innovative, Track I.A, ASEE-Pacific Southwest Conference, Pomona, CA, April 2025

Vanessa Hernandez Vanessa Martinez

Brandon Ismalej Matthew Smith Xunfei Jiang

Brandon Ismalej and Matthew Smith were selected as the first and second author on the research paper “Machine Learning-based GPU Energy Prediction for Workload Management in Datacenters”, which has been accepted for publication by the IEEE Annual Computing and Communication Workshop and Conference (CCWC 2025).The paper has now been published as:

 

B. Ismalej, M. Smith and X. Jiang, “Machine Learning-Based GPU Energy Prediction for Workload Management in Datacenters”, 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, 2025, pp. 01050-01054, doi: 10.1109/CCWC62904.2025.10903830.

Vartenie Aramali S. K. Ramesh Nathan Durdella Silvia Carpitella Ricardo Medina Md Sahabul Alam

The abstract “Unique Approach to Empowerment Evaluation at Hispanic-Serving Institutions: Diverse Perspectives and Practical Considerations in Partnering with Faculty.” was approved for presentation-only format at the 2025 ASEE PSW Conference.

S. K, Ramesh, V. Aramali, N. Durdella, S. Carpitella, R. Narimani, S. Alam and R. Medina, “Unique Approach to Empowerment Evaluation at Hispanic-Serving Institutions: Diverse Perspectives and Practical Considerations in Partnering with Faculty”, Leading Tomorrow: Educating Engineers for Innovation, Collaboration, and Entrepreneurship, Session I – Inclusive and Innovative, Track I.A, ASEE-Pacific Southwest Conference, Pomona, CA, April 2025