Daniel Goldsmith

Dr. Daniel Goldsmith holds a Doctorate in Model-Based Transmission Reduction and Virtual Sensing in Wireless Sensor Networks (Coventry University, 2013) and a BSc in Computer Science (Coventry University, 2007). He specializes in interdisciplinary research at the intersection of wireless sensor networks, hydraulic engineering, and environmental monitoring. His work spans applications ranging from smart water distribution systems to augmented reality museum exhibits. Key contributions include Fog Computing gateways, energy behavior analysis in tropical academic buildings, and hydraulic model calibration using virtual sensors. Goldsmith's research emphasizes practical implementations such as Singapore's WaterWiSe@SG testbed and thermal monitoring for aerospace turbine engines. His publications reflect a focus on sensor network optimization, data mining, and spatiotemporal field monitoring frameworks.

Education:

• Doctorate: Model-Based Transmission Reduction and Virtual Sensing in Wireless Sensor Networks (2013)
• BSc Computer Science (1st Class Honors) (2007)

Research Interests:

• Wireless sensor networks and protocol optimization
• Fog computing and edge computing architectures
• Hydraulic modeling and smart water infrastructure
• Augmented reality for environmental and cultural applications
• Data mining for IoT systems
• Energy behavior analysis in built environments

Notable Work Trends: His publications from 2007–2017 show a progression from early mixed-reality applications to advanced sensor network frameworks, culminating in impactful work on hydraulic systems and continuous environmental monitoring. The 2017 Fog of Things paper demonstrates ongoing engagement with emerging distributed computing paradigms.

Labs & Collaborations: Involved in Coventry University's environmental sensor networks initiatives and international partnerships like Singapore's water distribution testbed. His work frequently bridges academic research with industrial applications through collaborative projects.