Nick Roseveare

Nick attended Colorado State University where he received his Bachelors degree (2005, summa cum laude) in electrical engineering and subsequently obtained his Masters (2007) in the same, focusing on signal processing. He worked at Numerica Corp. from 2007 to 2009 on algorithms for track decorrelation and ambiguity assessment in data association, and on stochastic modeling; working at Numerica again in 2013 on the resolution of tracking ambiguity through use of Dempster-Shafer theory and Smets’ transferable belief model for class identification, as well as for class uncertainty quantification and sensor reliability modeling.

In 2013 he obtained his PhD in electrical engineering from Kansas State University, publishing research on optimization of resource-limited decentralized systems with signal-processing joint objectives.

From 2013 to 2014 he lectured on signal processing and control theory at Universität Paderborn (Germany) and researched low-sample-support methods for correlation analysis of high-dimensional data sets. He was employed at ISA from 2014 to 2017 and worked on tracking, optimization, and statistical signal processing algorithms. In 2017 and 2018 he worked on anomaly detection and machine learning algorithms as a Senior Data and Algorithms Scientist at Alchemy IoT. Returning to Numerica, he worked on designing and improving target tracking, computational sensing algorithms, game-theoretic resource allocation and planning, improvement of spatial filtering of intermittent low-dimensional measurements for tracking accuracy and uncertainty quantification, as well as integrating these algorithms into operational systems. He currently works for RSI, developing advanced analytics approaches for fraud detection, collections enforcement, and audit selection.

His work and research-related interests include statistical signal processing, machine learning, and optimization.

I am always attempting to abide by the following life (and career) principles:

• Learning: I am always trying to become a better engineer and researcher. I am always absorbing lessons from my own and others' experience, as well as reading and keeping up with trends in my field.
• Leadership: I enjoy and work at understanding the big picture in order to stay on target and to help others do the same. I try to be intentional and to take ownership of my deliverables. I also recognize that sometimes others are more suited to a particular task. A good leader creates environments and teams that don’t need them.
• Teamwork: Excellent research and products require teamwork, collaboration, and respect for one another. Being right feels nice, but it always comes in second-place behind what is good for the project and the team.
• Hard Work: A successful project is always the result of much striving and frustration. I push hard on a project and catalog all paths until a solution is found. I find the learning along the way and the hard-won results to be rewarding twin goals.
• Mentoring: I also very much enjoy the teaching process, it is gratifying to help others come to an understanding of a topic and to strengthen and question my own knowledge of the field. A test of the competence and value of the knowledge you bring is whether you can helpfully guide and instruct others. I have led teams of engineers and data scientists and encouraged their upskilling, technical research, and personal growth.

My teaching philosophy is centered on the belief that good education:

• Should be an active, student-centered process that prepares individuals for success in their personal and professional lives.
• Emphasizes an attentiveness to the material and a willingness to make and learn from mistakes.
• Incorporates individual student projects and practical experiences.
• Should create a dynamic and engaging learning environment that fosters critical thinking and creativity.
• Promotes lifelong love of learning and the ability to engage thoughtfully with any subject.

Read the full Philosophy of Teaching statement.

• Senior Member, IEEE
• Reviewer, IEEE Trans. Wireless Communications, IEEE Trans. Vehicular Technology, Aerospace and Electronic Systems, et al.
• Tau Beta Pi and Eta Kappa Nu Honor Societies
• Google Patents