Faculty profile
Howard Schwartz
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Carleton University directory, so their courses and email address may be missing. Find their university profile.
Latest papers
Adaptive correction method for an OCXO and investigation of analytical cumulative time error upper bound.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2011 · senior author
Latest funding
- $150,000
Multi-Agent Reinforcement Learning for Autonoumous Vehicles
NSERC · 2017 · Principal investigator
- $25,000
Multi-Objective and Multi-Agent Reinforcement Learning for Autonomous Marine Vessels
NSERC · 2016 · Principal investigator
- $40,000
Accurate and secure clock synchronization in data packet networks
NSERC · 2012 · Co-investigator
1 publications.
Adaptive correction method for an OCXO and investigation of analytical cumulative time error upper bound.
Zhou H, Kunz T, Schwartz H
Multi-Agent Reinforcement Learning for Autonoumous Vehicles
Principal investigators: Schwartz, Howard
Multi-Objective and Multi-Agent Reinforcement Learning for Autonomous Marine Vessels
Principal investigators: Schwartz, Howard
Accurate and secure clock synchronization in data packet networks
Principal investigators: Kunz, Thomas
Connector Event Cloud Computing Technologies
Principal investigators: Schwartz, Howard
Adaptive and intelligent control of multiple cooperative robots
Principal investigators: Schwartz, Howard
Sensor and data integration for autonomous vehicles
Principal investigators: Schwartz, Howard
Enhanced robot situational awareness
Principal investigators: Schwartz, Howard
Adaptive network time synchronization
Principal investigators: Schwartz, Howard
Adaptive control of robot manipulators
Principal investigators: Schwartz, Howard
Adaptive control of robot manipulators and industrial processes
Principal investigators: Schwartz, Howard
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
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.