Research Summary: Signal Processing of Power Quality Disturbances
RESEARCH AREA: DSP of Power Quality Disturbances
This research area is devoted to the application of statistical signal processing techniques to create novel models for power quality disturbances such as voltage sags, flicker, and frequency variations. These models can be used for simulation of disturbances in assessment studies and as statistical models in state-space frameworks where parameters can be estimated by Extended Kalman Filters and other state-space estimation methods. Research areas include modeling, analysis, detection, quantification, and classification of power quality disturbances using statistical signal processing methods.

Research Summary: BSP
RESEARCH AREA: DSP, BIOMEDICAL SIGNAL PROCESSING, MEDICAL DEVICES

The overall theme of my research in this area is to develop novel engineering methods to help solve relevant biomedical problems. I’m particularly interested in problems involving the application of advanced statistical signal processing techniques to develop novel biomedical signal processing methods to analyze and extract information from physiologic signals that can help doctors make better diagnostic decisions and improve patient outcome. Additionally, I’m interested in the development of innovative medical devices & diagnostic systems that have the potential to improve patient treatment and quality of life while reducing the overall cost of healthcare. [For additional

Research Summary: IP, Patent Valuation, Strategy & Innovation
RESEARCH AREA: INTELLECTUAL PROPERTY, STRATEGY, AND INNOVATION
This area of research is focused on intellectual property, competitive strategy, and innovation. I’m interested in research on intellectual property strategy, IP valuation, developing models and theoretical frameworks for examining IP strategy and early stage patent valuation, and preparing review articles on "recent patents" on particular methods and technology areas (patent landscape studies). In the field of strategy, I’m primarily interested in application of the Delta Model (Hax) to various firms currently achieving competitive advantage and its generalization.