---
layout: post
title: "About"
permalink: about.html
---

I am an associate professor of [electrical engineering](http://www.ee.cooper.edu) at [The Cooper Union](http://www.cooper.edu)

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.

My [cv]({{ site.url }}/~keene/assets/CV.pdf)

# Masters Theses
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:


[Automatic Artifact Annotator for EEG Waves Using Recurrent and Convolutional Neural Networks]({{site.url}}/~keene/assets/Thesis_DK_final_final.pdf), Dongkyu Kim

[Autoencoding Neural Networks as Musical Audio Synthesizers]({{site.url}}/~keene/assets/thesis_colonel.pdf), Joseph T. Colonel


[Gradient-based Adversarial Attacks to Deep Neural Networks in Limited Access Settings]({{site.url}}/~keene/assets/yashSharmaThesis.pdf), [Yash Sharma](https://www.yash-sharma.com)


[Learning a Latent Space for EEGs with Computational Graphs]({{site.url}}/~keene/assets/KrishnaThesisFinal.pdf), Radhakrishnan Thiyagarajan

[A Fully Convolutional Neural Network Approach to End-to-End Speech Enhancement]({{site.url}}/~keene/assets/masters_thesis_frank_longueira.pdf), Frank Longueira

[A Neural Network Based Implementation of Non-Negative Matrix Factorization for Targeted Speech Denoising]({{site.url}}/~keene/assets/matthew_smarsch_thesis_final.pdf), Matthew Smarsch


[A Deep Reinforcement Learning Approach to the Portfolio Management Problem ]({{site.url}}/~keene/assets/SahilPatel.pdf),  Sahil S. Patel

[Learning an End-to-End Physical Layer with Computational Graphs]({{ site.url }}/~keene/assets/Caleb_Zulawski_Thesis.pdf),  Caleb Zulawski

[Inferring the causal impact of Super Bowl marketing campaigns using a Bayesian structural time series model
]({{ site.url }}/~keene/assets/Neema_Thesis_vFinal.pdf),  Neema Aggarwal


[OFDM Modulation Recognition Using Convolutional Neural Networks]({{ site.url }}/~keene/assets/Justin_Alexander_Thesis.pdf), Justin Alexander 



[Alternative Architectures for Image Generation and Residual Dilated Convolutions for Image Colorization with Adversarial Networks]({{ site.url }}/~keene/assets/curro_thesis.pdf), Christopher Curro

[Unsupervised Topic Clustering of Text Corpora]({{ site.url }}/~keene/assets/gitzel_thesis.pdf), Daniel Gitzel

[Distributed Synchronization for Ad-Hoc Operation in LTE]({{ site.url }}/~keene/assets/dli_thesis.pdf), David Li

[A Generative Model for Digital Camera Chemical Colorimetry]({{ site.url }}/~keene/assets/tam_thesis.pdf), Jason Tam

[A Paritioned Auto-encoder for Audio De-Noising]({{ site.url }}/~keene/assets/lusterman_thesis.pdf), [Ethan Lusterman](http://www.ethanlusterman.com)

[Classifying Phases of the Business Cycle: A Machine Learning Approach]({{ site.url }}/~keene/assets/astrauckas_thesis.pdf), Julia Astrauckas

[Adaptive Phased Locked Loop for Interference Mitigation]({{ site.url }}/~keene/assets/Kevin_Nguyen_Thesis.pdf), Kevin Nguyen

[Spectrum Sensing with Non-local Means]({{ site.url }}/~keene/assets/drub_thesis.pdf), David Rubenstein

[Synchronization of Interference to Facilitate Joint Detection]({{ site.url }}/~keene/assets/appolo_thesis.pdf), Andrew Apollonsky

[Interactive Foreground Extraction with Superpixels]({{ site.url }}/~keene/assets/rafi_thesis.pdf), Abrar Rahman

[Capture-Exploited Fair Rate Adaptation for 802.11 WLANs]({{ site.url }}/~keene/assets/kang_thesis.pdf), Seung Hun Kang

[Fair TCP Channel Access for IEEE 802.11 WLANs]({{ site.url }}/~keene/assets/sang_thesis.pdf), Christopher Sang

[Joint Spatial-Temporal Equalization of 3G HF Communications]({{ site.url }}/~keene/assets/sam_thesis.pdf), Samantha Blaisdell