Up to date information can be found at my personal website.
- MS Electrical Engineering, Drexel University 2012 (summa cum laude)
- BS Electrical Engineering, Drexel University 2012 (summa cum laude)
- Triton Regional High School 2007
I graduated from Drexel University with a BS/MS in 2012. During my time there, I worked in the METlab as a research assistant. Currently I am a PhD student studying Machine Learning at the University of Pennsylvania.
I enjoy playing the guitar and violin, along with creating electronic compositions and remixing popular music. I also enjoy teaching, programming and game design. I am currently teaching an online class on rigid body physics.
Awards and Fellowships
- National Science Foundation Graduate Research Fellowship (NSF GRFP) Award , 2012
- American Society for Engineering Education Science, Mathematics and Research for Transformation (ASEE SMART) Award, 2012 (Declined)
- Deutscher Akademischer Austausch Dienst Research Internships in Science and Engineering (DAAD RISE) Fellow, 2011
- Drexel University Undergraduate TA Award (2012)
- Drexel University Presidential Scholarship (2007-2012)
- New Jersey Robert C. Byrd Scholarship Recipient (2007-2011)
- Artificial Intelligence
- Deep Learning
- Instrument Design and Implementation
- Instrument Expressiveness
- Interface Design and HCI
- Machine Learning
- Musical Ensemble Classification and Instrument Identification Using Real Audio
- Electronic Instrument and New Music Interface Design
- Study and Parameterization of Musical Instrument Expressiveness
- Causal Beat Tracker for Real Audio
- MusiCube (iPhone, iPad Application)
- PhillyKingDay 2011 (iPhone, iPad Application)
- Multi-touch Device-Agnostic Library
- SMT 2011 Analog and Digital Lesson
- Monochord Implementation
- Schmidt, E. M., Prockup, M., Scott, J., Dolhansky, B., Morton, B. and Kim, Y. E. (2012). Relating perceptual and feature space invariances in music emotion recognition. Proceedings of the International Symposium on Computer Music Modeling and Retrieval, London, U.K.: CMMR. Best Student Paper. [PDF] [Oral Presentation]
- B. Dolhansky, A. McPherson, Y. E. Kim, "Designing an Expressive Virtual Percussion Instrument," in Proceedings of the 2011 Sound and Music Computing (SMC) Conference, 2011., July 2011.
- Y. E. Kim, A. M. Batula, R. Migneco, P. Richardson, B. Dolhansky, D. Grunberg, B. Morton, M. Prockup, E. M. Schmidt, and J. Scott, “Teaching STEM concepts through music technology and DSP,” in IEEE 14th Digital Signal Processing Workshop and 6th IEEE Signal Processing Education Workshop, 2011. DSP/SPE 2011., January 2011.