Kim Khoa Nguyen

Associate Professor

École de technologie supérieure

Canada

Research Interests

Explore related searches

Professors in Canada

Contact this professor

ORCID

Google Scholar

About

Dr. Kim Khoa Nguyen is an Associate Professor at École de technologie supérieure in Canada. His research encompasses areas such as optimization in neural networks, cost optimization for elastic optical networks, and the application of digital twins in energy-aware systems. He has contributed to the development of advanced frameworks for artificial intelligence and mobile computing, focusing on their practical implementations in rural areas and industrial automation.

Kim Khoa Nguyen

Research Interests

Explore related searches

Contact this professor

About

Articles (29)

ACLI: A CNN Pruning Framework Leveraging Adjacent Convolutional Layer Interdependence and $\gamma$-Weakly Submodularity

Convex-Concave Programming: An Effective Alternative for Optimizing Shallow Neural Networks

Cost Optimization of FlexEthernet Over Elastic Optical Network Fronthaul Design

Digital Twin Backed Closed-Loops for Energy-Aware and Open RAN-Based Fixed Wireless Access Serving Rural Areas

Dual Anti-Jamming Alleviation for Radio Frequency/Free-Space Optical (RF/FSO) Tactical Systems

AI-Powered Digital Twins for Robotic Control in 5G-Enabled Industrial Automation

GenAI-Based Privacy-Preserving Transfer Learning

Joint Airborne Wireless Positioning and Communication Services with Pattern Division Multiple Access (PDMA)

Reliable Intelligent Reflecting Surface-Assisted Mobile Edge Computing Systems: A Physical Layer Security and Encryption Design

Age of Processing-Aware Offloading Decision for Autonomous Vehicles in 5G Open RAN Environment

QoS Control Under Perfect and Imperfect CSI in Intelligent Reflecting Surface-Assisted Multi-Cast Multi-Group Communication Systems

Federated Deep Reinforcement Learning for Task Scheduling in Heterogeneous Autonomous Robotic System

5G Service Function Chain Provisioning: A Deep Reinforcement Learning-Based Framework

Communication Efficient Compressed and Accelerated Federated Learning in Open RAN Intelligent Controllers

Energy Efficiency Deep Reinforcement Learning for URLLC in 5G Mission-Critical Swarm Robotics

Multi-IRS Aided Mobile Edge Computing for High Reliability and Low Latency Services

Optimized FlexEthernet for Inter-Domain Traffic Restoration

Renewable Energy Powered and Open RAN-Based Architecture for 5G Fixed Wireless Access Provisioning in Rural Areas

Resource-Constrained Multisource Instance-Based Transfer Learning

A Deep Learning Framework for Beam Selection and Power Control in Massive MIMO - Millimeter-Wave Communications

Converging Game Theory and Reinforcement Learning For Industrial Internet of Things

Two-Level Closed Loops for RAN Slice Resources Management Serving Flying and Ground-Based Cars

A Learning Framework for Bandwidth-Efficient Distributed Inference in Wireless IoT

Carrier Frequency Offset Estimation in 5G NR: Introducing Gradient Boosting Machines

Dual Wireless Anti-Interception for Ground Combat Vehicles

Enabling Efficient Data Integration of Industry 5.0 Nodes Through Highly Accurate Neural CSI Feedback

Federated Learning Assisted Deep Q-Learning for Joint Task Offloading and Fronthaul Segment Routing in Open RAN

Joint Learning and Optimization-Based Resource Management in Hybrid Network of Cooperative and Non-Cooperative Massive MIMO Systems

Pilot-partitioning Protocol and Anti-jamming Methods in Distributed Massive MIMO systems

Collaborators (2)

Mohamed Cheriet

M.N.Srikanta Swamy

How do I reach out?

Meet Kite AI