Publications
A complete publication list is also available in my CV.
Peer-Reviewed Conference Publications
2026
Hard Rules, Soft Preferences: Bridging Reasoning, Learning, and
Optimization for Personalized Packing Checklist Generation
Heterogeneous SLO Guaranteed Multi-Resource-Aware Batching in LLM Serving
Managing KV Cache for Coordinated Waiting and Execution Time in LLM Serving
2025
Improving Resource Overcommitment with Granular and Pattern-Based Machine Learning Predictions
Degree-Based Scheduling and Memory Management for Large-Scale Exact Online GNN Inference
Flex: Fast, Accurate DNN Inference on Low-Cost Edges Using Heterogeneous Accelerator Execution
2024
Fault Tolerant Data and Model Parallel Deep Learning in Edge Computing Networks
Elastically Scheduling Multiple DNN Inference Jobs on an Edge for High Efficiency and Accuracy
Adversarial Attack Detection for Deep Learning Driving Maneuver Classifiers in Connected Autonomous Vehicles
2023
A Data and Model Parallelism based Distributed Deep Learning System in a Network of Edge Devices
Time-series Misalignment Aware DNN Adversarial Attacks for Connected Autonomous Vehicles
2022
Distributed Training for Deep Learning Models On An Edge Computing Network Using Shielded Reinforcement Learning
Accelerating Adversarial Attack Using Process-in-Memory Architecture
A Universal Adversarial Attack on Time-Series DNNs for Connected Autonomous Vehicles
Query-Efficient and Imperceptible Attacks on Multivariate Time Series DNN Models
2021
Context-aware Data Operation Strategies in Edge Systems for High Application Performance
A Resilient and Robust Edge-Cloud Network System Supporting CPS
Efficient Black-Box Adversarial Attacks for Deep Driving Maneuver Classification Models
AnyOpt: Predicting and Optimizing IP Anycast Performance
A Suspicion-Free Black-Box Adversarial Attack for Deep Driving Maneuver Classification Models
A Diverse Noise-Resilient DNN Ensemble Model on Edge Devices for Time-Series Data
2020
NoiseSenseDNN: Modeling DNN for Sensor Data to Mitigate the Effect of Noise in Edge Devices
An Advanced Black-Box Adversarial Attack for Deep Driving Maneuver Classification Models
Impact of Memory DoS Attacks on Cloud Applications and Real-Time Detection Schemes
2019
Machine Learning based Timeliness-Guaranteed and Energy-Efficient Task Assignment in Edge Computing Systems
2015
A Real-Time Crowd-Powered Testbed for Content Assessment of Potential Social Media Posts
2014
AntiqueData: A Proxy to Maintain Computational Transparency in Cloud
2012
An Approach to Protect the Privacy of Cloud Data from Data Mining Based Attacks
Journal Publications
A Study on the Impact of Memory DoS Attacks on Cloud Applications and Exploring Real-Time Detection Schemes
A Survey of COVID-19 Detection and Prediction Approaches Using Mobile Devices, AI, and Telemedicine
Book Chapters
Securing Autonomous Vehicles with Machine Learning
Demo and Workshop Papers
Demo: FlyEnJoy: An Offline-First Mobile System for Trip Planning and In-Flight Social Interaction
Cassandra: An Oracle for Content Assessment of Potential Social Media Posts
An SMS based Smart System for Remote Control of Utility Services During Earthquake
A Simplified Processing of Participatory Video Data for Street Traffic Estimation