Kevin Lee

Associate Professor in Software Engineering and Internet of Things (IoT)

Deakin University

Australia

Research Interests

Explore related searches

Professors in Australia

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Kevin Lee is an Associate Professor in Software Engineering and Internet of Things (IoT) at Deakin University, Australia. His research focuses on energy-efficient resource management for real-time IoT applications, edge-fog-cloud computing architectures, and wearable technologies that enhance human-machine interaction. He has also explored topics such as drone identification and tracking, as well as innovative teaching models for IoT application development. His recent contributions advance both the practical and theoretical understanding of IoT and software engineering.

Articles (17)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (5)

Roopak Sinha

University of Auckland

NEW ZEALAND

View details

Chetan Arora

MONASH UNIVERSITY

AUSTRALIA

View details

Jean-Guy Schneider

Professor in Software Engineering

MONASH UNIVERSITY

AUSTRALIA

View details

Mohamed Reda Bouadjenek

Lecturer (Assistant Professor)

Deakin University

AUSTRALIA

View details

Alireza Hassani

Lecturer, Software engineering

Deakin University

AUSTRALIA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Kevin Lee

Research Interests

Explore related searches

Contact this professor

About

Articles (17)

Energy efficient resource management for real-time IoT applications

On Edge-Fog-Cloud Collaboration and Reaping Its Benefits: A Heterogeneous Multi-Tier Edge Computing Architecture

Wearable Technologies for Enhancing Human-Machine Interaction and Safety in Industry 5.0: A Review

Towards Reliable Identification and Tracking of Drones Within a Swarm

Active Blended Learning Model for Teaching IoT Application Development Course: A Case Study

A survey of energy concerns for software engineering

Energy Efficient Node Selection in Edge-Fog-Cloud Layered IoT Architecture

Automated Adjustment of PPE Masks Using IoT Sensor Fusion

Adaptive warehouse storage location assignment with considerations to order-picking efficiency and worker safety

Integration of IoT Sensors to Determine Life Expectancy of Face Masks

Measuring the Energy and Performance of Scientific Workflows on Low-Power Clusters

ModelOps for enhanced decision-making and governance in emergency control rooms

Edge Computing for Internet of Things

Automatic Failure Recovery for Container-Based IoT Edge Applications

Lantern: A domain specific language for energy awareness in smart-homes

Application of Wireless Sensor Network Based on Hierarchical Edge Computing Structure in Rapid Response System

AMACoT: A Marketplace Architecture for Trading Cloud of Things Resources

Collaborators (5)

Roopak Sinha

Chetan Arora

Jean-Guy Schneider

Mohamed Reda Bouadjenek

Alireza Hassani

Make your next move.