James Xi Zheng

Orcid: 0000-0002-2572-2355

Affiliations:
  • Macquarie University, Department of Computing, Australia
  • Deakin University, Australia (former)
  • University of Texas at Austin, Center for Advanced Research in Software Engineering, USA (former)


According to our database1, James Xi Zheng authored at least 183 papers between 2014 and 2024.

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Bibliography

2024
Cost-Effective Dynamic Alliance Pricing Mechanism Based on Distributed Edge Intelligence.
IEEE Internet Things J., November, 2024

Distributed Learning in Intelligent Transportation Systems: A Survey.
Inf., September, 2024

ID-SR: Privacy-Preserving Social Recommendation Based on Infinite Divisibility for Trustworthy AI.
ACM Trans. Knowl. Discov. Data, August, 2024

Exploring Semantic Redundancy using Backdoor Triggers: A Complementary Insight into the Challenges Facing DNN-based Software Vulnerability Detection.
ACM Trans. Softw. Eng. Methodol., May, 2024

SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems.
IEEE Trans. Mob. Comput., May, 2024

An Adaptive Federated Relevance Framework for Spatial-Temporal Graph Learning.
IEEE Trans. Artif. Intell., May, 2024

Leveraging Digital Twin and DRL for Collaborative Context Offloading in C-V2X Autonomous Driving.
IEEE Trans. Veh. Technol., April, 2024

OFEI: A Semi-Black-Box Android Adversarial Sample Attack Framework Against DLaaS.
IEEE Trans. Computers, April, 2024

Privacy-Preserving Distributed Transfer Learning and Its Application in Intelligent Transportation.
IEEE Trans. Intell. Transp. Syst., March, 2024

FedAGA: A federated learning framework for enhanced inter-client relationship learning.
Knowl. Based Syst., 2024

Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach.
CoRR, 2024

Testing Learning-Enabled Cyber-Physical Systems with Large-Language Models: A Formal Approach.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Efficient Request Scheduling in Cross-Regional Edge Collaboration via Digital Twin Networks.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

SGD-YOLOv5: A Small Object Detection Model for Complex Industrial Environments.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Trustworthy Sensor Fusion Against Inaudible Command Attacks in Advanced Driver-Assistance Systems.
IEEE Internet Things J., October, 2023

Delay-CJ: A novel cryptojacking covert attack method based on delayed strategy and its detection.
Digit. Commun. Networks, October, 2023

GenDroid: A query-efficient black-box android adversarial attack framework.
Comput. Secur., September, 2023

EIDLS: An Edge-Intelligence-Based Distributed Learning System Over Internet of Things.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

A Declarative Metamorphic Testing Framework for Autonomous Driving.
IEEE Trans. Software Eng., April, 2023

ASQ-FastBM3D: An Adaptive Denoising Framework for Defending Adversarial Attacks in Machine Learning Enabled Systems.
IEEE Trans. Reliab., March, 2023

A Privacy-Preserving Medical Data Sharing Scheme Based on Blockchain.
IEEE J. Biomed. Health Informatics, February, 2023

Friend-as-Learner: Socially-Driven Trustworthy and Efficient Wireless Federated Edge Learning.
IEEE Trans. Mob. Comput., 2023

SCA-LFD: Side-Channel Analysis-Based Load Forecasting Disturbance in the Energy Internet.
IEEE Trans. Ind. Electron., 2023

Cloud-Edge Orchestrated Power Dispatching for Smart Grid With Distributed Energy Resources.
IEEE Trans. Cloud Comput., 2023

Query-Efficient Black-Box Adversarial Attacks on Automatic Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Edge Computing and Sensor-Cloud: Overview, Solutions, and Directions.
ACM Comput. Surv., 2023

LGL-BCI: A Lightweight Geometric Learning Framework for Motor Imagery-Based Brain-Computer Interfaces.
CoRR, 2023

RLaGA: A Reinforcement Learning Augmented Genetic Algorithm For Searching Real and Diverse Marker-Based Landing Violations.
CoRR, 2023

Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System.
CoRR, 2023

DSHGT: Dual-Supervisors Heterogeneous Graph Transformer - A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities.
CoRR, 2023

CUEING: A pioneer work of encoding human gaze for autonomous driving.
CoRR, 2023

TARGET: Traffic Rule-based Test Generation for Autonomous Driving Systems.
CoRR, 2023

iDML: Incentivized Decentralized Machine Learning.
CoRR, 2023

Demo Abstract: HybriSim - A Hybrid Simulation System for Distributed Machine Learning with Mobility.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

Collaborative Edge Service Placement for Maximizing QoS with Distributed Data Cleaning.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

GDTM: Gaussian Differential Trust Mechanism for Optimal Recommender System.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

Cost-Effective Dynamic Alliance Pricing Mechanism Based on Distributed Edge-Intelligence.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

IGA : An Improved Genetic Algorithm to Construct Weightwise (Almost) Perfectly Balanced Boolean Functions with High Weightwise Nonlinearity.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022
DeCoP: Deep Learning for COVID-19 Prediction of Survival.
IEEE Trans. Mol. Biol. Multi Scale Commun., December, 2022

Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach.
IEEE Trans. Parallel Distributed Syst., 2022

Edge-Based Communication Optimization for Distributed Federated Learning.
IEEE Trans. Netw. Sci. Eng., 2022

Investigating the Prospect of Leveraging Blockchain and Machine Learning to Secure Vehicular Networks: A Survey.
IEEE Trans. Intell. Transp. Syst., 2022

Non-Contact Negative Mood State Detection Using Reliability-Focused Multi-Modal Fusion Model.
IEEE J. Biomed. Health Informatics, 2022

Collaborative Three-Tier Architecture Noncontact Respiratory Rate Monitoring Using Target Tracking and False Peaks Eliminating Algorithms.
IEEE Trans. Instrum. Meas., 2022

CPFL: An Effective Secure Cognitive Personalized Federated Learning Mechanism for Industry 4.0.
IEEE Trans. Ind. Informatics, 2022

Resource Offload Consolidation Based on Deep-Reinforcement Learning Approach in Cyber-Physical Systems.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

JOSP: Joint Optimization of Flow Path Scheduling and Virtual Network Function Placement for Delay-Sensitive Applications.
Mob. Networks Appl., 2022

DynaComm: Accelerating Distributed CNN Training Between Edges and Clouds Through Dynamic Communication Scheduling.
IEEE J. Sel. Areas Commun., 2022

SG-PBFT: A secure and highly efficient distributed blockchain PBFT consensus algorithm for intelligent Internet of vehicles.
J. Parallel Distributed Comput., 2022

SPRNN: A spatial-temporal recurrent neural network for crowd flow prediction.
Inf. Sci., 2022

Gain Without Pain: Offsetting DP-Injected Noises Stealthily in Cross-Device Federated Learning.
IEEE Internet Things J., 2022

Privacy-Preserving Data Scheduling in Incentive-Driven Vehicular Network.
IEEE Internet Things J., 2022

Data Dissemination With Trajectory Privacy Protection for 6G-Oriented Vehicular Networks.
IEEE Internet Things J., 2022

Guided Activity Prediction for Minimally Invasive Surgery Safety Improvement in the Internet of Medical Things.
IEEE Internet Things J., 2022

Differential Privacy and IRS Empowered Intelligent Energy Harvesting for 6G Internet of Things.
IEEE Internet Things J., 2022

A survey of security and privacy issues in the Internet of Things from the layered context.
Trans. Emerg. Telecommun. Technol., 2022

FedRel: An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning.
CoRR, 2022

Testing of autonomous driving systems: where are we and where should we go?
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Scenario-based test reduction and prioritization for multi-module autonomous driving systems.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Prototyping Opportunistic Learning in Resource Constrained Mobile Devices.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

Swarm: Playground for Large-scale Decentralized Learning Simulations.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

Facilitating Decentralized and Opportunistic Learning in Pervasive Computing.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

BI-GAN: batch inversion membership inference attack on federated learning.
Proceedings of the MobiArch '22: Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet Architecture, 2022

PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

An Empirical Study on Model Pruning and Quantization.
Proceedings of the Broadband Communications, Networks, and Systems, 2022

2021
Can Steering Wheel Detect Your Driving Fatigue?
IEEE Trans. Veh. Technol., 2021

RICA-MD: A Refined ICA Algorithm for Motion Detection.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Privacy-preserving Time-series Medical Images Analysis Using a Hybrid Deep Learning Framework.
ACM Trans. Internet Techn., 2021

Leveraging Energy Function Virtualization With Game Theory for Fault-Tolerant Smart Grid.
IEEE Trans. Ind. Informatics, 2021

Unsupervised-Learning-Based Continuous Depth and Motion Estimation With Monocular Endoscopy for Virtual Reality Minimally Invasive Surgery.
IEEE Trans. Ind. Informatics, 2021

Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses.
IEEE Trans. Ind. Informatics, 2021

Efficient and Lightweight Data Streaming Authentication in Industrial Control and Automation Systems.
IEEE Trans. Ind. Informatics, 2021

Sparse Trust Data Mining.
IEEE Trans. Inf. Forensics Secur., 2021

Generalized Centered 2-D Principal Component Analysis.
IEEE Trans. Cybern., 2021

EIHDP: Edge-Intelligent Hierarchical Dynamic Pricing Based on Cloud-Edge-Client Collaboration for IoT Systems.
IEEE Trans. Computers, 2021

An Energy-Efficient and Secure Data Inference Framework for Internet of Health Things: A Pilot Study.
Sensors, 2021

FNet: A Two-Stream Model for Detecting Adversarial Attacks against 5G-Based Deep Learning Services.
Secur. Commun. Networks, 2021

SolGuard: Preventing external call issues in smart contract-based multi-agent robotic systems.
Inf. Sci., 2021

Achieving Democracy in Edge Intelligence: A Fog-Based Collaborative Learning Scheme.
IEEE Internet Things J., 2021

TT-SVD: An Efficient Sparse Decision-Making Model With Two-Way Trust Recommendation in the AI-Enabled IoT Systems.
IEEE Internet Things J., 2021

Privacy-Preserving Federated Learning Framework Based on Chained Secure Multiparty Computing.
IEEE Internet Things J., 2021

Mobile edge-enabled trust evaluation for the Internet of Things.
Inf. Fusion, 2021

STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks.
CoRR, 2021

An investigation into the state-of-the-practice autonomous driving testing.
CoRR, 2021

Robust Sensor Fusion Algorithms Against VoiceCommand Attacks in Autonomous Vehicles.
CoRR, 2021

Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning.
CoRR, 2021

SG-PBFT: a Secure and Highly Efficient Blockchain PBFT Consensus Algorithm for Internet of Vehicles.
CoRR, 2021

PDAAA: Progressive Defense Against Adversarial Attacks for Deep Learning-as-a-Service in Internet of Things.
Proceedings of the 20th IEEE International Conference on Trust, 2021

Sybil Attacks and Defense on Differential Privacy based Federated Learning.
Proceedings of the 20th IEEE International Conference on Trust, 2021

Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous Vehicles.
Proceedings of the 20th IEEE International Conference on Trust, 2021

Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications, 2021

Artifact: Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Metamorphic Testing on Multi-module UAV Systems.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Message from the CPSCom 2021 Program Chairs: iThings-GreenCom-CPSCom-SmartData-Cybermatics 2021.
Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

Generating High-quality Movie Tags from Social Reviews: A Learning-driven Approach.
Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

BMT: Behavior Driven Development-based Metamorphic Testing for Autonomous Driving Models.
Proceedings of the 6th IEEE/ACM International Workshop on Metamorphic Testing, 2021

MFF-AMD: Multivariate Feature Fusion for Android Malware Detection.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

2020
Trust2Privacy: A Novel Fuzzy Trust-to-Privacy Mechanism for Mobile Social Networks.
IEEE Wirel. Commun., 2020

Cluster-Enabled Cooperative Scheduling Based on Reinforcement Learning for High-Mobility Vehicular Networks.
IEEE Trans. Veh. Technol., 2020

Fog-based Secure Service Discovery for Internet of Multimedia Things: A Cross-blockchain Approach.
ACM Trans. Multim. Comput. Commun. Appl., 2020

SSL-SVD: Semi-supervised Learning-based Sparse Trust Recommendation.
ACM Trans. Internet Techn., 2020

An Intelligent Dynamic Offloading From Cloud to Edge for Smart IoT Systems With Big Data.
IEEE Trans. Netw. Sci. Eng., 2020

Dynamic clustering method for imbalanced learning based on AdaBoost.
J. Supercomput., 2020

Big Data Cleaning Based on Mobile Edge Computing in Industrial Sensor-Cloud.
IEEE Trans. Ind. Informatics, 2020

Guest Editorial: Special Section on Emerging Privacy and Security Issues Brought by Artificial Intelligence in Industrial Informatics.
IEEE Trans. Ind. Informatics, 2020

HUCDO: A Hybrid User-centric Data Outsourcing Scheme.
ACM Trans. Cyber Phys. Syst., 2020

A Security-Enhanced Certificateless Aggregate Signature Authentication Protocol for InVANETs.
IEEE Netw., 2020

Edge-based differential privacy computing for sensor-cloud systems.
J. Parallel Distributed Comput., 2020

Rate-Adaptive Fog Service Platform for Heterogeneous IoT Applications.
IEEE Internet Things J., 2020

SoProtector: Safeguard Privacy for Native SO Files in Evolving Mobile IoT Applications.
IEEE Internet Things J., 2020

Efficient Human Activity Recognition Using a Single Wearable Sensor.
IEEE Internet Things J., 2020

Integrating NFV and ICN for Advanced Driver-Assistance Systems.
IEEE Internet Things J., 2020

Attacks and defences on intelligent connected vehicles: a survey.
Digit. Commun. Networks, 2020

Leveraging AI and Intelligent Reflecting Surface for Energy-Efficient Communication in 6G IoT.
CoRR, 2020

RMT: Rule-based Metamorphic Testing for Autonomous Driving Models.
CoRR, 2020

DLRRMS: Deep Learning based Respiratory Rate Monitoring System using Mobile Robots and Edges.
CoRR, 2020

Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things.
CoRR, 2020

Mitigating Sybil Attacks on Differential Privacy based Federated Learning.
CoRR, 2020

An ensemble learning approach for software semantic clone detection.
CoRR, 2020

SFE-GACN: A Novel Unknown Attack Detection Method Using Intra Categories Generation in Embedding Space.
CoRR, 2020

A Survey on Anomalous Behavior Detection for Elderly Care Using Dense-Sensing Networks.
IEEE Commun. Surv. Tutorials, 2020

Am I eclipsed? A smart detector of eclipse attacks for Ethereum.
Comput. Secur., 2020

Security analysis of indistinguishable obfuscation for internet of medical things applications.
Comput. Commun., 2020

BAGKD: A Batch Authentication and Group Key Distribution Protocol for VANETs.
IEEE Commun. Mag., 2020

A Privacy-Preserving Data Inference Framework for Internet of Health Things Networks.
Proceedings of the 19th IEEE International Conference on Trust, 2020

Invited Talk: Software Engineering, AI and autonomous vehicles: Security assurance.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

A Democratically Collaborative Learning Scheme for Fog-enabled Pervasive Environments.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

FengHuoLun: A Federated Learning based Edge Computing Platform for Cyber-Physical Systems.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications, 2020

Leveraging Multi-view Learning for Human Anomaly Detection in Industrial Internet of Things.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

ICS-Assist: Intelligent Customer Inquiry Resolution Recommendation in Online Customer Service for Large E-Commerce Businesses.
Proceedings of the Service-Oriented Computing - 18th International Conference, 2020

Privacy-Aware Key Task Scheduling in Vehicular Networks Based on Incentive Mechanism.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

TDD4Fog: A Test-Driven Software Development Platform for Fog Computing Systems.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019
SmartVM: a SLA-aware microservice deployment framework.
World Wide Web, 2019

Crowdsourcing Mechanism for Trust Evaluation in CPCS Based on Intelligent Mobile Edge Computing.
ACM Trans. Intell. Syst. Technol., 2019

Using Sparse Representation to Detect Anomalies in Complex WSNs.
ACM Trans. Intell. Syst. Technol., 2019

When Sensor-Cloud Meets Mobile Edge Computing.
Sensors, 2019

CSP-E<sup>2</sup>: An abuse-free contract signing protocol with low-storage TTP for energy-efficient electronic transaction ecosystems.
Inf. Sci., 2019

E-AUA: An Efficient Anonymous User Authentication Protocol for Mobile IoT.
IEEE Internet Things J., 2019

An Overview of Attacks and Defences on Intelligent Connected Vehicles.
CoRR, 2019

A survey of security and privacy issues in the Internet of Things from the layered context.
CoRR, 2019

A survey on security issues in services communication of Microservices-enabled fog applications.
Concurr. Comput. Pract. Exp., 2019

When Road Information Meets Data Mining: Precision Detection for Heading and Width of Roads.
IEEE Access, 2019

Driver Drowsiness Detection Using Multi-Channel Second Order Blind Identifications.
IEEE Access, 2019

APDP: Attack-Proof Personalized Differential Privacy Model for a Smart Home.
IEEE Access, 2019

Using AI to Attack VA: A Stealthy Spyware Against Voice Assistances in Smart Phones.
IEEE Access, 2019

Detecting Difference Between Process Models Using Edge Network.
IEEE Access, 2019

Hybrid Model Featuring CNN and LSTM Architecture for Human Activity Recognition on Smartphone Sensor Data.
Proceedings of the 20th International Conference on Parallel and Distributed Computing, 2019

MFE-HAR: multiscale feature engineering for human activity recognition using wearable sensors.
Proceedings of the MobiQuitous 2019, 2019

Leveraging CNN and Transfer Learning for Vision-based Human Activity Recognition.
Proceedings of the 29th International Telecommunication Networks and Applications Conference, 2019

ESDA: An Energy-Saving Data Analytics Fog Service Platform.
Proceedings of the Service-Oriented Computing - 17th International Conference, 2019

Verification of Microservices Using Metamorphic Testing.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

SSL-STR: Semi-Supervised Learning for Sparse Trust Recommendation.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Detection of Smoking Events from Confounding Activities of Daily Living.
Proceedings of the Australasian Computer Science Week Multiconference, 2019

2018
A Hybrid Method Combining Markov Prediction and Fuzzy Classification for Driving Condition Recognition.
IEEE Trans. Veh. Technol., 2018

Efficient and Scalable Runtime Monitoring for Cyber-Physical System.
IEEE Syst. J., 2018

Object localisation through clustering unreliable ultrasonic range sensors.
Int. J. Sens. Networks, 2018

Investigating Key User Experiencing Engineering Aspects in Software-as-a-Service Service Delivery Model.
CoRR, 2018

Our Practice Of Using Machine Learning To Recognize Species By Voice.
CoRR, 2018

COMEC: Computation Offloading for Video-Based Heart Rate Detection APP in Mobile Edge Computing.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

DAliM: Machine Learning Based Intelligent Lucky Money Determination for Large-Scale E-Commerce Businesses.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

Who Spread to Whom? Inferring Online Social Networks with User Features.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

SoProtector: Securing Native C/C++ Libraries for Mobile Applications.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Roundtable Gossip Algorithm: A Novel Sparse Trust Mining Method for Large-Scale Recommendation Systems.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

2017
Real-Time Simulation Support for Runtime Verification of Cyber-Physical Systems.
ACM Trans. Embed. Comput. Syst., 2017

Perceptions on the State of the Art in Verification and Validation in Cyber-Physical Systems.
IEEE Syst. J., 2017

Big data storage and management in SaaS applications.
J. Commun. Inf. Networks, 2017

Cyber security attacks to modern vehicular systems.
J. Inf. Secur. Appl., 2017

A Testbed for Security Analysis of Modern Vehicle Systems.
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Service-Mediated On-Road Situation-Awareness for Group Activity Safety.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

SmartVM: A Multi-Layer Microservice-Based Platform for Deploying SaaS.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

Service2vec: A Vector Representation for Web Services.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

PaaS - black or white: an investigation into software development model for building retail industry SaaS.
Proceedings of the 39th International Conference on Software Engineering, 2017

Non-invasive sensor based automated smoking activity detection.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

BigVM: A Multi-Layer-Microservice-Based Platform for Deploying SaaS.
Proceedings of the Fifth International Conference on Advanced Cloud and Big Data, 2017

Security analysis of modern mission critical android mobile applications.
Proceedings of the Australasian Computer Science Week Multiconference, 2017

Bullseye: structured passage retrieval and document highlighting for scholarly search.
Proceedings of the Australasian Computer Science Week Multiconference, 2017

2016
Investigating Security Vulnerabilities in Modern Vehicle Systems.
Proceedings of the Applications and Techniques in Information Security, 2016

2015
BraceAssertion: Runtime Verification of Cyber-Physical Systems.
Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015

Verification and Validation in Cyber Physical Systems: Research Challenges and a Way Forward.
Proceedings of the 1st IEEE/ACM International Workshop on Software Engineering for Smart Cyber-Physical Systems, 2015

2014
Physically informed assertions for cyber physical systems development and debugging.
Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, 2014

BraceForce: a middleware to enable sensing integration in mobile applications for novice programmers.
Proceedings of the 1st International Conference on Mobile Software Engineering and Systems, 2014

WiP abstract: BraceForce: Software engineering support for sensing in CPS applications.
Proceedings of the ACM/IEEE International Conference on Cyber-Physical Systems, 2014


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