About Me
Intro
I'm Dayuan Tan, a current Computer Science Ph.D. candidate at the University of Maryland, Baltimore County.
I'm a computer scientist, a researcher and a software engineer passionate about building scalable, intelligent systems.
My research leverages Artificial Intelligence (AI), Machine Learning (ML), and Reinforcement Learning (RL), together with Distributed Systems, Blockchain technologies, and Deterministic Systems to solve complex problems in large-scale cyber-physical systems (CPS), including Smart Cities, Intelligent Transportation Systems (ITS), and Smart Homes.
My advisor is Prof. Mohamed Younis, IEEE Fellow.
Research Interests:
Vehicular Ad Hoc Networks (VANET), Connected Autonomous Vehicles (CAV)
Wireless Sensor Networks (WSN), Internet of Vehicles (IoV), Internet of Things (IoT)
Intelligent Transportation Systems (ITS), Smart Cities, Smart Homes
Artificial Intelligence (AI), Machine Learning (ML), Deep Reinforcement Learning (DRL)
Distributed Systems, Blockchain
Research Themes (Overview):
This section outlines a layered view of my research on intelligent cyber-physical systems (CPS), from sensing and networking infrastructures to learning-based decision making and system-level foundations.
- Networked and sensing infrastructures:
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Vehicular Ad Hoc Networks (VANET),
Connected Autonomous Vehicles (CAV),
Wireless Sensor Networks (WSN),
Internet of Things (IoT),
Internet of Vehicles (IoV)
- Application domains:
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Intelligent Transportation Systems (ITS),
Smart Cities,
Smart Homes
- Learning and decision-making methods:
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Artificial Intelligence (AI),
Machine Learning (ML),
Deep Reinforcement Learning (DRL)
- System foundations:
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Distributed Systems,
Blockchain
- Deterministic modeling and rule-based design:
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Logic-based decision processes, deterministic control, and analytically grounded system behavior
Research & Engineering at a Glance
A few visual examples of the application domains, methods, and systems I work on.
