Jesse Blum was born in the USA and raised in Canada. He moved to the UK in 2002. He has a BSc (Hons) in Software Systems Engineering and a diploma in videogame programming. He's currently nearing completion of his Ph.D. thesis "Handling Emergent Conflicts in Adaptable Rule-based Sensor Networks" under the supervision of Prof. Evan Magill. Jesse has two children, Ayden and Sophia, and a lovely fiancée called Brit.
Jesse's career has exposed him to a variety of innovative business software, including games to provide corporate training, video integration with websites, and content management systems. He has worked in a variety of roles including programmer, manager, analyst, trainer, technical author, QA, video producer, and researcher.
Jesse's Research Projects
Jesse is currently a researcher on the EPSRC funded project (EP/H047395/1): Waiter there really is a computer in my soup and it's telephoning me!": Revealing invisible computers (Waiter) project. The Waiter project is a public engagement project involving the University of Stirling, University of Glasgow, Glasgow Science Centre and Royal Scottish Academy of Music and Drama. We are developing a highly interactive Glasgow Science Centre show that conveys complex information about the technologies and social aspects of sensors and wireless computing/communications to diverse audiences.
Waiter website
Jesse worked on the EPSRC funded project (EP/F003684/1) Personalised Ambient Monitoring (PAM) project as a resaercher. The project investigated the feasibility of reducing the incidence of debilitating episodes through personalised ambient monitoring of patients in their homes.
PAM website
Some more PAM info from Jesse
Jesse was a part time researcher on the Data Management through e-Social Science (DAMES) project. His role was to assess metadata standards that can be used to describe the data and integrate/develop tools to use the metadata.
Some more DAMES info from Jesse
Grid Computing for GIS Applications
For his dissertation, Jesse investigated and developed a grid computing solution for distributing complex Geographic Information Systems (GIS) calculations. These systems can require very large datasets, and certain operations are computationally expensive. Grid Computing was investigated as a possible technology to improve the performance of sharing GIS calculations, specifically focusing on cumulative viewshed analysis (CVA).
