My research interests include, but are not limited to, signal processing analysis of neural data; the application of machine learning techniques to neural data in order to perform detection, classification, and prediction tasks; and the design and implementation of real-time systems that perform such data analysis in order to treat epilepsy and other neurological diseases.
I am in the process of completing my Master's Thesis in Bioengineering on the topic of anomaly detection in human EEG recordings using deep belief networks. Theoretical properties of the deep belief net allow for the system to perform detection in both an unsupervised and quick manner.
EDUCATION:
Sep 2009 – Present: Graduate Student at University of Pennsylvania
Expected Graduation: August 2010
MSE with Thesis in Bioengineering
Aug 2005 – May 2009: Undergraduate Student at Duke University
BSE Double Major in Biomedical Engineering & Electrical Engineering
PUBLICATIONS:
1. DeRusso AL, Fan D, Gupta J, Shelest O, Costa RM, Yin HH. (2010). Instrumental uncertainty as a determinant of behavior under interval schedules of reinforcement. Front Integr Neurosci 4:17. doi:10.3389/fnint.2010.00017
2. Yu C, Gupta J, Yin HH. (2010). The role of mediodorsal thalamus in temporal differentiation of reward-guided actions. Front Integr Neurosci 4:14. doi:10.3389/fnint.2010.00014
3. Yu C, Gupta J, Chen JF, Yin HH. (2009). Genetic Deletion of A2A adenosine receptors in the striatum selectively impairs habit formation. J Neurosci 29 15100-3.
RESEARCH
Mar 2010 – Present:
Translational Neuroengineering Research at University of Pennsylvania, PA
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•Performed thesis research on using deep belief nets to for unsupervised anomaly detection in human EEG recordings.
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•Ported data acquisition interface for thin-film electrode arrays from LabVIEW to BCI2000, a C++ based environment.
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Worked under supervision of Dr. Brian Litt in the Translational Neuroengineering Lab
Aug 2008 – May 2009:
Behavioral Neuroscience Research at Duke University, NC
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•Helped design, wrote computer programs for, and performed data analysis for various experiments involving reward-guided actions and motor cortex, thalamus, or basal ganglia. Programs used include MATLAB, MED-PC IV, and GraphPad Prism.
Worked under supervision of Dr. Henry Yin within the Neuroscience department
May 2006 – Aug 2006:
BME Research at Stony Brook University, NY
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•Fracture Detection Using Ultrasound Technology
Worked under supervision of Professor Qin. Research not published.
Mar 2004 – Nov 2004:
BME Research at Stony Brook University, NY
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•The Effects of Low Level, High Frequency Mechanical Strain on Trabecular Bone
Worked under supervision of Professor Qin. Research not published.
WORK EXPERIENCE:
May 2009 – Aug 2009:
Research Associate at Duke University, NC
Performed research under supervision of Dr. Henry Yin as described above.
Jan 2008 – Dec 2008:
Teaching Assistant at Duke University, NC
Class: ECE52 – Introduction To Digital Systems. Teachers: Dr. Dwyer, Dr. Vu
Taught laboratory section, and graded laboratory and homework assignments.
May 2008 – Aug 2008:
Project Aide at Stony Brook University, NY
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Researched and designed wireless medical device prototypes including, but not limited to, a cell-phone based spectrometer and an RFID pill to facilitate drug monitoring Supervisor: Dr. Shmuel Einav
Jan 2008 – May 2008:
Teaching Assistant at Duke University, NC
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Class: BME153 – Biomedical Electronic Measurements I. Teacher: Dr. Grill
Graded homework assignments.
Aug 2007 – Dec 2007:
Teaching Assistant at Duke University, NC
Class: BME153 – Biomedical Electronic Measurements I. Teacher: Dr. Malkin
Graded homework assignments.
Aug 2006 – May 2007:Teaching Assistant at Duke University, NC
Class: EGR53 – Computational Methods In Engineering. Teacher: Dr. Gustafson
Taught recitation sections, held office hours, and gradaed recitation assignments.
COMPUTER SKILLS:
Proficient with MATLAB
Familiar with C++
Familiar with LabVIEW
Familiar with Excel
