I am a third year PhD student in Electrical Engineering at North Carolina State University. I am also affiliated with the NSF Nanosystems Engineering Research Center (NERC) for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST) at NCSU. I received my MS and BS degrees in Electrical Engineering from University of New Mexico, NM and Tehran Polytechnic, Iran, respectively.
My research revolves around developing efficient, real time and accurate signal processing techniques to analyze physiological data such as breathing sounds, ECG, pulse oxometry, EEG and MEG signals. My research interests include, but are not limited to, biomedical signal processing, data mining and machine learning.
- J1. Saba Emrani; Thanos Gentimis; Hamid Krim; “Persistent Homology of Delay Embeddings and its Application to Wheeze Detection,” Signal Processing Letters, IEEE, vol. 21, no. 4, pp. 459-463, April 2014. [pdf]
- C1. Saba Emrani; Hamid Krim; “Spectral Estimation of Highly Transient Data”, submitted to 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’15).
- C2. Saba Emrani; Hamid Krim; “Robust Detection of Periodic Patterns in Gene Expression Microarray Data using Topological Signal Analysis”, accepted to 2014 Workshop on Genomic Signal Processing and Statistics (GENSIPS’14). [pdf]
- C3. Saba Emrani; Harish Chintakunta; Hamid Krim; “Real Time Detection of Harmonic Structure: a Case for Topological Signal Analysis”, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’14). [pdf]
- C4. Saba Emrani; Hamid Krim; “Wheeze Detection and Location using Spectro-temporal Analysis of Lung Sounds”, The 29th Southern Biomedical Engineering Conference, SBEC, 2013. [pdf]