Thomas Kunz

Thomas Kunz

Carleton University

H-index: 42

North America-Canada

About Thomas Kunz

Thomas Kunz, With an exceptional h-index of 42 and a recent h-index of 19 (since 2020), a distinguished researcher at Carleton University, specializes in the field of WSN, MANETs, IoT, SDN, NFV.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mobility aware and energy-efficient federated deep reinforcement learning assisted resource allocation for 5G-RAN slicing

Importance of optical metrics for IGP configuration change prediction

Network slicing in virtualized 5G Core with VNF sharing

Leveraging Spatiotemporal Relations for Predicting Potential Link Failures

Importance of Realistic Considerations of Time Synchronization for TAS in TSN Networks

Network routing optimization using Digital Twins

A novel routing protocol for reducing packet delay with multi-beam antennas

Reliable Multicast Routing Protocol Based on Reinforcement Learning

Thomas Kunz Information

University

Position

Professor of Systems and Computer Engineering

Citations(all)

6932

Citations(since 2020)

1846

Cited By

5859

hIndex(all)

42

hIndex(since 2020)

19

i10Index(all)

140

i10Index(since 2020)

39

Email

University Profile Page

Carleton University

Google Scholar

View Google Scholar Profile

Thomas Kunz Skills & Research Interests

WSN

MANETs

IoT

SDN

NFV

Top articles of Thomas Kunz

Title

Journal

Author(s)

Publication Date

Mobility aware and energy-efficient federated deep reinforcement learning assisted resource allocation for 5G-RAN slicing

Computer Communications

Yaser Azimi

Saleh Yousefi

Hashem Kalbkhani

Thomas Kunz

2024/3/1

Importance of optical metrics for IGP configuration change prediction

Bruck Wubete

Babak Esfandiari

Thomas Kunz

Thomas Triplet

David Cote

2023/6/19

Network slicing in virtualized 5G Core with VNF sharing

Journal of Network and Computer Applications

Azad Jalalian Zharabad

Saleh Yousefi

Thomas Kunz

2023/6/1

Leveraging Spatiotemporal Relations for Predicting Potential Link Failures

Bruck Wubete

Babak Esfandiari

Thomas Kunz

2023/10/30

Importance of Realistic Considerations of Time Synchronization for TAS in TSN Networks

Aviroop Ghosh

Thomas Kunz

Saleh Yousefi

2023/10/23

Network routing optimization using Digital Twins

Mohamed Zalat

Chris Barber

David Krauss

Babak Esfandiari

Thomas Kunz

2023

A novel routing protocol for reducing packet delay with multi-beam antennas

Jean-Daniel Medjo Me Biomo

Thomas Kunz

Marc St-Hilaire

2023/1

Reliable Multicast Routing Protocol Based on Reinforcement Learning

Ola Ashour

Thomas Kunz

Marc St-Hilaire

2023/9/5

Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents

Machine Learning for Networking: 5th International Conference, MLN 2022, Paris, France, November 28–30, 2022, Revised Selected Papers

Thomas Kunz

2023/7/6

Enabling A Network AI Gym for Autonomous Cyber Agents

Li Li

Jean-Pierre S El Rami

Adrian Taylor

James Hailing Rao

Thomas Kunz

2022/12/14

Applications of machine learning in resource management for RAN-slicing in 5G and beyond networks: A survey

IEEE Access

Yaser Azimi

Saleh Yousefi

Hashem Kalbkhani

Thomas Kunz

2022/9/27

Controller placement in software-defined multihop wireless networks: Optimal solution and GA-based approximation

Mobile Networks and Applications

Afsane Zahmatkesh

Chung-Horng Lung

Thomas Kunz

2022/6

A Multiagent CyberBattleSim for RL Cyber Operation Agents

Thomas Kunz

Christian Fisher

James La Novara-Gsell

Christopher Nguyen

Li Li

2022/12/14

Cost-effective controller placement problem for software defined multihop wireless networks

Afsane Zahmatkesh

Thomas Kunz

Chung-Horng Lung

2021

Efficient backbone routing in hierarchical MANETs

Thomas Kunz

2021

Downlink scheduling in LTE with deep reinforcement learning, LSTMs and pointers

Aisha Robinson

Thomas Kunz

2021/11/29

Energy-efficient deep reinforcement learning assisted resource allocation for 5G-RAN slicing

IEEE Transactions on Vehicular Technology

Yaser Azimi

Saleh Yousefi

Hashem Kalbkhani

Thomas Kunz

2021/11/16

Fast and cost-efficient virtualized network function placement algorithm in wireless multi-hop networks

Zahra Jahedi

Thomas Kunz

2020

Routing solutions for hierarchical MANETs

Thomas Kunz

2020/10/20

The Value of Simple Heuristics for Virtualized Network Function Placement

Future Internet

Zahra Jahedi

Thomas Kunz

2020/9/25

See List of Professors in Thomas Kunz University(Carleton University)

Co-Authors

H-index: 47
Twan Basten

Twan Basten

Technische Universiteit Eindhoven

H-index: 39
Amir Banihashemi

Amir Banihashemi

Carleton University

H-index: 37
Chung-Horng Lung

Chung-Horng Lung

Carleton University

H-index: 28
Weishan Zhang

Weishan Zhang

China University of Petroleum

H-index: 23
Howard Schwartz

Howard Schwartz

Carleton University

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