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List of works by Aaron Yi Ding

AMSense: How Mobile Sensing Platforms Capture Pedestrian/Cyclist Spatiotemporal Properties in Cities

Bias Detection and Generalization in AI Algorithms on Edge for Autonomous Driving

Bias in Automated Speaker Recognition

Bridging the gap between internet standardization and networking research

Characterising the Role of Pre-Processing Parameters in Audio-based Embedded Machine Learning

Charting the Path to SBOM Adoption: A Business Stakeholder-Centric Approach

scientific article published on 28 June 2024

Contact duration: Intricacies of human mobility

Context dependent trade-offs around platform-to-platform openness: The case of the Internet of Things

DatEthics: Ethical Data-Centric Design of Intelligent Behaviour

DeepPick: A Deep Learning Approach to Unveil Outstanding Users Ranking with Public Attainable Features

Demo: An Open-source Software Defined Platform for Collaborative and Energy-aware WiFi Offloading

DevLoc: Seamless Device Association using Light Bulb Networks for Indoor IoT Environments

Driving forces for Multi-Access Edge Computing (MEC) IoT integration in 5G

scientific article published in 2021

ECCO: Edge-Cloud Chaining and Orchestration Framework for Road Context Assessment

Edge Chaining Framework for Black Ice Road Fingerprinting

Enabling energy-aware collaborative mobile data offloading for smartphones

Enabling energy-aware mobile data offloading for smartphones through vertical collaboration

Energy-efficient Edge Approximation for Connected Vehicular Services

Enhancing Indoor IoT Communication with Visible Light and Ultrasound

Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives

scientific article published on 19 June 2020

Ethical hacking for boosting IoT vulnerability management

Exploring CNN and XAI-based Approaches for Accountable MI Detection in the Context of IoT-enabled Emergency Communication Systems

scientific article published on 22 March 2024

Feasibility Study of Autonomous Drone-based IoT Device Management in Indoor Environments

IoT Resource-aware Orchestration Framework for Edge Computing

IoT-KEEPER: Detecting Malicious IoT Network Activity Using Online Traffic Analysis at the Edge

LocalVLC: Augmenting Smart IoT Services with Practical Visible Light Communication

Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence

MirageManager

Multimodal Co-Presence Detection with Varying Spatio-Temporal Granularity

Nimbus: Towards Latency-Energy Efficient Task Offloading for AR Services

Opportunities for applications using 5G networks

P 2 hub private personal data hub for mobile devices

Poster

Real-Time IoT Device Activity Detection in Edge Networks

Revisiting the Arguments for Edge Computing Research

Roadmap for edge AI

Security and Privacy in Device-to-Device (D2D) Communication: A Review

Social-Aware Federated Learning: Challenges and Opportunities in Collaborative Data Training

Software Defined 5G Mobile Backhaul

Software defined networking for security enhancement in wireless mobile networks

Structural Hole Theory in Social Network Analysis: A Review

The Many Faces of Edge Intelligence

The Road Towards Private Proximity Services

The Virtual Factory: Hologram-Enabled Control and Monitoring of Industrial IoT Devices

The mobility laws of location-based games

Tiny, Always-on, and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows

scientific article published on 11 April 2023

Toward network controlled IP traffic offloading

Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services

Transfer Learning-Based Outdoor Position Recovery With Cellular Data

Trustworthy and Sustainable Edge AI: A Research Agenda

Understanding the Working Time of Developers in IT Companies in China and the United States

Vision

Where Are You Going Next?

Where Is My Tag? Unveiling Alternative Uses of the Apple FindMy Service

Will Algorithms Blind People? The Effect of Explainable AI and Decision-Makers’ Experience on AI-supported Decision-Making in Government