I am a professor of electrical engineering at The Cooper Union
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
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:
Predicting Isotopologue Counts from Bulk Metabolomics Data, Ravindra Bisram
Applying a Bayesian Structural Time Series Model to Infer Causal Impact in the Crypto Market, Philip Blumin
Graph Machine Learning with Scattering Transforms, Armaan Kohli
Method to Impute Missing Features in Metabolomics Data using Rank-Transformation and Matrix Factorization, Sophie Jaro
Deep Learning Pipeline for Detection of Mild Cognitive Impairment from Unstructured Long Form Clinical Audio , Theo Jaquenoud
An Exploration of Probabilistic Models for Consumer Choices, Zhihao Zhang
Improving Flood Maps by Increasing the Temporal Resolution of Satellites Using Hybrid Sensor Fusion - Video Interpolation Networks,Yuval Epstain Ofek
Mississippi Jail Projections: Understanding The Bailable Population, Nithilam Subbaian
Pancancer Analysis to Bridge the Gap between Metabolomics and Transcriptomics through Machine Learning, Junbum Kim
Automatic Artifact Annotator for EEG Waves Using Recurrent and Convolutional Neural Networks, Dongkyu Kim
Autoencoding Neural Networks as Musical Audio Synthesizers, Joseph T. Colonel
Gradient-based Adversarial Attacks to Deep Neural Networks in Limited Access Settings, Yash Sharma
Learning a Latent Space for EEGs with Computational Graphs, Radhakrishnan Thiyagarajan
A Fully Convolutional Neural Network Approach to End-to-End Speech Enhancement, Frank Longueira
A Neural Network Based Implementation of Non-Negative Matrix Factorization for Targeted Speech Denoising, Matthew Smarsch
A Deep Reinforcement Learning Approach to the Portfolio Management Problem , Sahil S. Patel
Learning an End-to-End Physical Layer with Computational Graphs, Caleb Zulawski
Inferring the causal impact of Super Bowl marketing campaigns using a Bayesian structural time series model , Neema Aggarwal
OFDM Modulation Recognition Using Convolutional Neural Networks, Justin Alexander
Alternative Architectures for Image Generation and Residual Dilated Convolutions for Image Colorization with Adversarial Networks, Christopher Curro
Unsupervised Topic Clustering of Text Corpora, Daniel Gitzel
Distributed Synchronization for Ad-Hoc Operation in LTE, David Li
A Generative Model for Digital Camera Chemical Colorimetry, Jason Tam
A Paritioned Auto-encoder for Audio De-Noising, Ethan Lusterman
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