Nashlie H. Sephus

Graduate Partner, GT Center for Women, Science, and Technology (WST)
Research interest: 
Modulation Features for Audio Data Mining
Digital Signal Processing
Machine Learning
Music Information Retrieval

Nashlie H. Sephus is a doctoral student in Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology where her thesis topic is data mining in audio signals using modulation spectral analysis.She is currently advised by Dr. Aaron Lanterman and Dr. David Anderson. She received her B.S. in Computer Engineering from Mississippi State University in 2007 and received her M.S. in ECE at Georgia Tech in 2010.She has had several internships and research experiences with companies and research labs, such as the GE Research Center, GE Energy, Delphi, and IBM.While at Georgia Tech, she has volunteered, tutored, and mentored both high school and undergraduate students in research. As a doctoral student researcher in the Center for Signal/Information Processing (CSIP) at Georgia Tech, Nashlie has done projects related to speech signal processing as well as music information retrieval (MIR). Her other areas of research include source separation, speaker identification, onset detection methods, and speaker modeling for automatic audio-video tagging using statistical models.