Thomas Kunz, Carleton University

Research

Machine Learning Reinforcement Learning Autonomous Agents Cyber-Physical Systems Security Transfer Learning autonomous agent training cybersecurity

Latest papers

Operating systems for wireless sensor networks: a survey.
Sensors (Basel, Switzerland) · 2011 · senior author
Adaptive correction method for an OCXO and investigation of analytical cumulative time error upper bound.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2011

All 2 publications

Latest funding

Autonomous Cyber Operations
NSERC · 2023 · Principal investigator
$82,000
Realistic and generalizable training of autonomous cyber agents
NSERC · 2023 · Principal investigator
$325,000
Machine learning techniques to improve router configurations in large optical networks
NSERC · 2022 · Co-investigator
$60,000

All 19 grants and awards

2 publications.

01

Operating systems for wireless sensor networks: a survey.

Farooq MO, Kunz T

Sensors (Basel, Switzerland)2011Senior author

DOI: 10.3390/s110605900 PMID: 22163934

02

Adaptive correction method for an OCXO and investigation of analytical cumulative time error upper bound.

Zhou H, Kunz T, Schwartz H

IEEE transactions on ultrasonics, ferroelectrics, and frequency control2011

DOI: 10.1109/tuffc.2011.1772 PMID: 21244973

Autonomous Cyber Operations

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: Kunz, Thomas

Keywords: cyber-physical systems; security; autonomous agents; machine learning; reinforcement learning; transfer learning

$82,000

Realistic and generalizable training of autonomous cyber agents

Principal investigatorNSERC2023Alliance Grants

Principal investigators: Kunz, Thomas TH

Keywords: autonomous agent training; cybersecurity; machine learning; realistic and generalizable training; reinforcement learning

$325,000

Machine learning techniques to improve router configurations in large optical networks

Co-investigatorNSERC2022Alliance Grants

Principal investigators: Esfandiari, Babak B

Keywords: machine learning; network management; network simulation

$60,000

SDN-Enabling Multihop Wireless Networks

Principal investigatorNSERC2017Discovery Grants Program - Individual

Principal investigators: Kunz, Thomas

$198,000

Designing a centralized software defined networking (SDN) protocol for optimal and efficient handling of optical networks

Principal investigatorNSERC2015Collaborative Research and Development Grants

Principal investigators: Kunz, Thomas

$20,000

Adaptive collaboration over wide-area networks

Principal investigatorNSERC2014Engage Grants Program

Principal investigators: Kunz, Thomas

$25,000

Monitoring and bandwidth-on-demand in software defined networks

Principal investigatorNSERC2014Engage Grants Program

Principal investigators: Kunz, Thomas

$25,000

Systematic Design and Implementation of Network Protocols for Mobile Multihop Wireless Networks

Principal investigatorNSERC2012Discovery Grants Program - Individual

Principal investigators: Kunz, Thomas

$140,000

Accurate and secure clock synchronization in data packet networks

Principal investigatorNSERC2012Collaborative Research and Development Grants

Principal investigators: Kunz, Thomas

$40,000

Adaptive network time synchronization

Co-investigatorNSERC2008Collaborative Research and Development Grants

Principal investigators: Schwartz, Howard

$74,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Howard Schwartz

Systems and Computer Engineering

1 shared papers, latest 2011

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2023

Subject: Prospective PhD student: Machine Learning Dear Professor Kunz, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Operating systems for wireless sensor networks: a survey." (2011), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Autonomous Cyber Operations" (2023), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]