Published multiple papers including 'Enhancement of Spatial Clustering-based Time-frequency Masks using LSTM Neural Networks', 'Improved MVDR Beamforming Using LSTM Speech Models to Clean Spatial Clustering Masks', etc.; presented research at various international conferences and journals.
Research Experience
Research Scientist and Adjunct Lecturer; involved in several research projects such as enhancement of spatial clustering-based time-frequency masks using LSTM neural networks, improved MVDR beamforming using LSTM speech models to clean spatial clustering masks, combining spatial clustering with LSTM speech models for multichannel speech enhancement, etc.
Education
PhD Student at the Graduate Center, City University of New York, Advisor: Prof. Michael I. Mandel (Past Advisor: Prof. Andrew Rosenberg)
Background
Research interests include neural network architectures, particularly those used for natural language processing. Current focus is on adversarial attacks and defenses. Has worked on binary neural networks for speech recognition, GANs for text data, reservoir computing, audio source separation using neural networks, acoustic prosody, and computational biology.
Miscellany
Teaching experience at Hunter College, including CSCI 44900 - Major Capstone, CSCI 33500 - Software Design and Analysis III, CSCI 23300 - Minor Capstone