News
I successfully defended my dissertation.
The Computer Science and Engineering department at UT Arlington featured me in a social media post. View the post.
Our paper “Revisiting Asymmetries in Black-box Link Stealing against Graph Neural Networks” got accepted at ICML’26.
I received the Outstanding Doctoral Dissertation Award presented at the College of Engineering Academic Excellence Ceremony at UTA.
I received the Graduate School Summer 2026 Dissertation Fellowship at UTA.
Our paper “A Collaborative Distillation Framework for Graph Neural Networks” got accepted at ESANN’26.
Our paper “Unveiling Graph Copycats: Inference Attacks with Student Models” got accepted at PETS’26.
Our paper “Towards Enhanced Sparse-View Tomographic Reconstruction Using 3D Gaussian Splatting” got accepted at 3DV.
I was selected as a reviewer for ICLR 2026.
Our paper “Beyond Detection: Comparative Explainability Study on Trypanosoma cruzi Using CAMs and DETR Attention” got accepted at IEEE BHI’25.
Our paper “Beyond the Glow: Understanding Luminescent Marker Behavior Against Autonomous Vehicle Perception Systems” got accepted at USENIX VehicleSec’25.
I was selected as a reviewer for RTSS 2025.
Our paper “FedVLM: Scalable Personalized Vision-Language Models through Federated Learning” got accepted at ECAI’25.
I returned to the Los Alamos National Lab as an intern with the Materials Science and Technology (MST) Division’s MST-8 group.
I was selected as a reviewer for BMVC 2025.
I was selected as a reviewer for ICLR 2025.
I started my internship as an Applied Machine Learning Research Fellow at the Los Alamos National Lab.
I was awarded the Kelcy Warren Graduate Fellowship for Engineering at UTA.
I received the Travel Grant Award to attend The Network and Distributed System Security Symposium (NDSS) 2024.
Our article “Towards named data networking technology: Emerging applications, use cases, and challenges for secure data communication” got published in the Future Generation Computer Systems journal.
I joined the student volunteers at VehicleSec’24.
Our article “AutoWatch: Learning Driver Behavior with Graphs for Auto Theft Detection and Situational Awareness” was accepted to VehicleSec’24.
I was selected as one of the recipients of the 2023 Tapia Registration scholarship to attend ACM Richard Tapia Celebration of Diversity in Computing Conference.
I was selected as one of the recipients of the participant support stipend for 2023 STARS Celebration.
Our paper “Deep Reinforcement Learning for Energy-Efficient Task Offloading in Cooperative Vehicular Edge Networks” got accepted in the 2023 IEEE International Conference on Industrial Informatics.
Our paper “FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge Computing” got accepted in the 2023 IEEE International Conference on Edge Computing and Communications.
I was selected as one of the recipients of the NSF student travel award for the 2023 CPS-IoT Week.
I volunteered as an exhibitor during SC 22 at Dallas, TX.
I was recognized as an “Outstanding Teaching Assistant” by the Computer Science and Engineering department at UTA.
Our paper “Survey of Interoperability Challenges in the Internet of Vehicles” got accepted in the Transactions of Intelligent Transportation Systems.
We won the best paper award at AutoSec 2022 for our paper “A Framework for Consistent and Repeatable Controller Area Network IDS Evaluation”.
Our paper “In-Vehicle Network Anomaly Detection Using Extreme Gradient Boosting Machine” got accepted in the 10th International Conference on Cyber-Physical Systems (CPSIoT’2022).
My presentation during the Ph.D. Lightning Talk Award at the Student Computing Research Festival (SCRF) got Honorable Mentions.
Our workshop at OurCS@DFW was successful, and the team received Honorable Mentions.
Our paper “A Framework for Consistent and Repeatable Controller Area Network IDS Evaluation” got accepted in the 4th International Workshop on Automotive and Autonomous Vehicle Security (AutoSec 2022).