Nathan King

Current Position: Research Scientist at Rutter Inc.

M.Sc.:  Applied and Computational Mathematics from SFU in 2015

B.Sc. (Hons.): Applied Mathematics and Physics at Memorial University of Newfoundland in 2013.

The design of the Applied and Computational Mathematics program was exceptional. Most courses involved almost equal amounts of theory and computation. This combination provided me with the tools to understand the mathematics and algorithms on a deep level. This has been invaluable when developing algorithms to solve novel real-world problems.

The professors at SFU are internationally known, which helps build a strong personal network. Networking becomes easier when other academics know your supervisors because they can immediately understand what area of research you are working in. Even locally the professors have connections with other groups at SFU. I enjoyed working closely with the Medial Image Analysis Laboratory in the School of Engineering Science, which allowed me to discover interesting applications for my research.

One of the best parts of the program at SFU is the close community of graduate students. My office was located in PIMS. PIMS includes two open office spaces for ~8 students each and a smaller office for ~3 students, which are all joined by a kitchen. I enjoyed these large group offices because it encouraged collaboration between fellow students. Events such as BBQs, games nights, and weekly seminars, also made the experience at SFU extremely enjoyable.

Currently, I am a Research Scientist at Rutter Inc. who develops and implements image processing algorithms for radar imagery. My research is mostly driven by applications for Rutter's radar system. Some example applications are reducing noise due to rain, tracking ice floes, and detecting objects such as fast moving vessels, oil spills, icebergs, and open water leads. 

My research involves studying existing methods to prototype promising algorithms for a specific application. Most times ideas from multiple methods are used to create an entirely new algorithm. These algorithms can involve mathematics such as PDEs, statistics, optimization, and machine learning. An implementation is created in Matlab or directly into our C++ code base. The algorithms must be efficient because our radar system runs in real-time, which involves creating CPU and/or GPU parallel implementations. The robustness of the algorithm is verified using data from multiple real-world situations.

Other tasks I perform are optimizing existing algorithms, attending and presenting research at conferences, and writing research reports for internal and customer use.

LinkedIn webpage is https://www.linkedin.com/in/nathandavidking/.

 

-I received my B.Sc. (Hons.) in Applied Mathematics and Physics at Memorial University of Newfoundland in 2013.
 
-The design of the Applied and Computational Mathematics program was exceptional. Most courses involved almost equal amounts of theory and computation. The combination of both theory and computation provided me with the tools to understand the mathematics and algorithms on a deep level. This has proved to be invaluable when developing algorithms to solve novel real-world problems.
 
The professors at SFU are internationally known, which helps build a strong personal network. Networking becomes easier when other academics know your supervisors because they can immediately understand what area of research you are working in. Even locally the professors have connections with other groups at SFU. I enjoyed working closely with the Medial Image Analysis Laboratory in the School of Engineering Science, which allowed me to discover interesting applications for my research.
 
One of the best parts of the program at SFU is the close community of graduate students. My office was located in PIMS. PIMS includes two open office spaces for ~8 students each and a smaller office for ~3 students, which are all joined by a kitchen. I enjoyed these large group offices because it encouraged collaboration between fellow students. Events such as BBQs, games nights, and weekly seminars, also made the experience at SFU extremely enjoyable.
 
-I feel what I provided explaining my work at Rutter is sufficient and maybe more than what other profiles touch on. Feel free to cut it down if you feel it is too much information.
 
-I received my B.Sc. (Hons.) in Applied Mathematics and Physics at Memorial University of Newfoundland in 2013.
 
-The design of the Applied and Computational Mathematics program was exceptional. Most courses involved almost equal amounts of theory and computation. The combination of both theory and computation provided me with the tools to understand the mathematics and algorithms on a deep level. This has proved to be invaluable when developing algorithms to solve novel real-world problems.
 
The professors at SFU are internationally known, which helps build a strong personal network. Networking becomes easier when other academics know your supervisors because they can immediately understand what area of research you are working in. Even locally the professors have connections with other groups at SFU. I enjoyed working closely with the Medial Image Analysis Laboratory in the School of Engineering Science, which allowed me to discover interesting applications for my research.
 
One of the best parts of the program at SFU is the close community of graduate students. My office was located in PIMS. PIMS includes two open office spaces for ~8 students each and a smaller office for ~3 students, which are all joined by a kitchen. I enjoyed these large group offices because it encouraged collaboration between fellow students. Events such as BBQs, games nights, and weekly seminars, also made the experience at SFU extremely enjoyable.
 
-I feel what I provided explaining my work at Rutter is sufficient and maybe more than what other profiles touch on. Feel free to cut it down if you feel it is too much information.