I teach courses and advise students in the area of signal processing, wireless communications and networks, machine learning and data science.
This website is meant to highlight all the great things Cooper students are doing under my supervision in these areas.
One of the most rewarding aspects of being a professor is advising Masters Theses. There is nothing better than working closely with smart people towards a shared goal. Here’s a list of all the theses I’ve advised:
Autoencoding Neural Networks as Musical Audio Synthesizers, Joseph T. Colonel
Learning a Latent Space for EEGs with Computational Graphs, Radhakrishnan Thiyagarajan
Learning an End-to-End Physical Layer with Computational Graphs, Caleb Zulawski
OFDM Modulation Recognition Using Convolutional Neural Networks, Justin Alexander
Unsupervised Topic Clustering of Text Corpora, Daniel Gitzel
Classifying Phases of the Business Cycle: A Machine Learning Approach, Julia Astrauckas
Adaptive Phased Locked Loop for Interference Mitigation, Kevin Nguyen
Spectrum Sensing with Non-local Means, David Rubenstein
Synchronization of Interference to Facilitate Joint Detection, Andrew Apollonsky
Interactive Foreground Extraction with Superpixels, Abrar Rahman
Capture-Exploited Fair Rate Adaptation for 802.11 WLANs, Seung Hun Kang
Fair TCP Channel Access for IEEE 802.11 WLANs, Christopher Sang
Joint Spatial-Temporal Equalization of 3G HF Communications, Samantha Blaisdell