My research area is in the realm of computational methods for data analytics. I use spectral graph theory, computational harmonic analysis, applied probability, and machine learning to design algorithms for extracting information from complex datasets.
APPM 7900 - Independent Study
Introduces graduate students to research foci of the Department of Applied Mathematics. (Spring 2019 UC Boulder)
APPM 8990 - Doctoral Dissertation
All doctoral students must register for no fewer than 30 hours of dissertation credit as part of the requirements for the degree. No more than 10 credit hours may be taken in any one semester. (Spring 2019 UC Boulder)
ECEN 5322 - Data and Network Science
The course covers the theory and design of algorithms that are used to model, analyze, and extract information from large scale datasets and networks. The course includes a project. (Spring 2019 UC Boulder)
ECEN 5840 - Independent Study
Offers an opportunity for students to do independent, creative work at the master's level. Numbered ECEN 5840-5849. Department consent required. (Spring 2019 UC Boulder)
APPM 8990 - Doctoral Dissertation
All doctoral students must register for no fewer than 30 hours of dissertation credit as part of the requirements for the degree. No more than 10 credit hours may be taken in any one semester. (Fall 2018 UC Boulder)
ECEN 4632 - Introduction to Digital Filtering
Covers both the analysis and design of FIR and IIR digital filters. Discusses implementations in both software and hardware. Emphasizes use of the FFT as an analysis tool. Includes examples in speech processing, noise canceling, and communications. (Fall 2018 UC Boulder)
ECEN 5632 - Theory and Application of Digital Filtering
Digital signal processing and its applications are of interest to a wide variety of scientists and engineers. The course covers such topics as characterization of linear discrete-time circuits by unit pulse response, transfer functions, and difference equations, use of z-transforms and Fourier analysis, discrete Fourier transform and fast algorithms (FFT), design of finite and infinite impulse response filters, frequency transformations, study of optimized filters for deterministic signals. (Fall 2018 UC Boulder)
APPM 7900 - Independent Study
Introduces graduate students to research foci of the Department of Applied Mathematics. (Spring 2018 UC Boulder)
APPM 8990 - Doctoral Dissertation
All doctoral students must register for no fewer than 30 hours of dissertation credit as part of the requirements for the degree. No more than 10 credit hours may be taken in any one semester. (Spring 2018 UC Boulder)
ECEN 4632 - Introduction to Digital Filtering
Covers both the analysis and design of FIR and IIR digital filters. Discusses implementations in both software and hardware. Emphasizes use of the FFT as an analysis tool. Includes examples in speech processing, noise canceling, and communications. (Spring 2018 UC Boulder)
ECEN 5632 - Theory and Application of Digital Filtering
Digital signal processing and its applications are of interest to a wide variety of scientists and engineers. The course covers such topics as characterization of linear discrete-time circuits by unit pulse response, transfer functions, and difference equations, use of z-transforms and Fourier analysis, discrete Fourier transform and fast algorithms (FFT), design of finite and infinite impulse response filters, frequency transformations, study of optimized filters for deterministic signals. (Spring 2018 UC Boulder)
ECEN 5840 - Independent Study
Offers an opportunity for students to do independent, creative work at the master's level. Numbered ECEN 5840-5849. Department consent required. (Spring 2018 UC Boulder)
