Alagan Anpalagan

Professor

Ryerson University

Canada

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About

Alagan Anpalagan is a Professor at Ryerson University in Canada. His research interests encompass hybrid deep learning architectures for load disaggregation, non-intrusive load monitoring, and digital twin technologies in smart cities. He has also contributed to advancements in electric vehicle charging infrastructure and network management for evolving networks, including 6G systems. His recent publications reflect a strong focus on energy efficiency in network protocols and UAV-MEC networks.

Articles (20)

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2025

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2022

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2022

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2022

Collaborators (5)

Waleed Ejaz

Assistant Professor

Lakehead University

CANADA

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Muhammad Jaseemuddin

Professor

Tokyo Metropolitan University

CANADA

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Koji Yamamoto

Kyoto University

JAPAN

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Isaac Woungang

Professor

Ryerson University

CANADA

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Lilatul Ferdouse

Ryerson University

CANADA

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Alagan Anpalagan

Research Interests

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About

Articles (20)

GRU-BERT for NILM: A Hybrid Deep Learning Architecture for Load Disaggregation

A Survey of Traditional and Emerging Deep Learning Techniques for Non-Intrusive Load Monitoring

A comprehensive review of Digital Twin technologies in smart cities

Enhancing electric vehicle charging infrastructure: A framework for efficient charging point management

A Survey on Network Management for xANET: Evolution, Challenges, Future Directions

DRL-Leveraged and RIS-Assisted Hybrid Network Slicing for eMBB and URLLC Co-Existence in 6G Systems

Enabling Scalability and Flexibility into Network Routing Protocol using Behavior Tree

Digital Twin-Assisted Task Offloading in UAV-MEC Networks With Energy Harvesting for IoT Devices

Resource Allocation for Co-Existence of eMBB and URLLC Services in 6G Wireless Networks: A Survey

Energy Efficient RIS-Assisted UAV Networks Using Twin Delayed DDPG Technique

Investigation of a HAP-UAV Collaboration Scheme for Throughput Maximization via Joint User Association and 3D UAV Placement

Admission and Placement Policies for Latency-Compliant Secure Services in 5G Edge–Cloud System

Resource allocation and user assignment schemes in cellular supported industrial IoT networks

Energy-Efficient Power Allocation Maximization for MU-MIMO Multiple Access Channels

Energy and Latency Efficient Caching in Mobile Edge Networks: Survey, Solutions, and Challenges

A Resource Allocation Policy for Downlink Communication in Distributed IRS Aided Multiple-Input Single-Output Systems

Energy-Efficient Power Allocation Maximization for Multi-user MIMO Broadcast Channel

Evolution and Adoption of Next Generation IoT-Driven Health Care 4.0 Systems

Priority‐based resource allocation in wireless powered UAV‐assisted networks

Cloud Firewall Under Bursty and Correlated Data Traffic: A Theoretical Analysis

Collaborators (5)

Waleed Ejaz

Muhammad Jaseemuddin

Koji Yamamoto

Isaac Woungang

Lilatul Ferdouse

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