I am a second year Engineering Science and Mechanics Ph.D. student at Penn State University, supported by a Walker research fellowship. I work with John Sustersic on machine learning, and Bruce Gluckman on neural engineering. Some problems I’m working on are sound classification and localization in noisy environments, semantic segmentation and behavior labeling in video, and self-supervised hierarchical classification.

News

May 2018 This summer I am working on glucose prediction and reconstruction using sparse modeling and data assimilation schemes at the Penn State Center for Neural Engineering.
May 2017 I am working on sound localization and classification with recurrent neural networks this summer at the Penn State Applied Research Lab.

Education

Aug 2017 - Present Ph.D. Student in Engineering Science and Mechanics
Penn State University
Aug 2013 - May 2017 B.S. in Engineering Science
Penn State University

Research Experience

May 2016 - Present Penn State University, Prof. John Sustersic
Machine Learning for Computer Vision/Audition
Jan 2016 - Present Penn State University, Prof. Bruce Gluckman
Glucose Dynamics, Computer Vision, Data Assimilation
June 2012 - Aug 2014 National Cancer Institute, Dr. Bruce Shapiro
RNA structural dynamics, elastic network modeling

Selected Publications

Google Scholar

Computational and experimental characterization of RNA cubic nanoscaffolds
Kirill A. Afonin, Wojciech Kasprzak, Eckart Bindewald, Praneet S. Puppala, Alex R. Diehl, Kenneth T. Hall, Tae Jin Kim, Michael T. Zimmermann, Robert L. Jernigan, Luc Jaeger, Bruce A. Shapiro
Methods 2014
[1] [abs] [pdf]

Teaching Experience

F2016 Introduction to Engineering Design (PSU EDSGN 100H), TA

PSU Graduate Coursework

  • Cellular and Molecular Neurobiology (NEURO 520), P. Drew, F2018
  • Math Methods in Engineering (EMCH 524A), C. Drapaca, F2018
  • Brain Computer Interfaces: Translate Thought into Action (ESC 527), B. Gluckman, S2018
  • Electromagnetic Fields (ESC 400H), A. Lakhtakia, S2018
  • Principles of Artificial Intelligence (IST 597), V. Honavar, F2017
  • Deep Learning (MATH 597-010), J. Xu, F2017
  • Neural Engineering: Fundamentals of Interfacing with Brain (ESC 525), B. Gluckman, F2017
  • Dynamics and Vibrations of Nonlinear Systems (EMCH 597), J. Cusumano, S2017

Honors & Awards

2017 - 2018 PSU Walker Graduate Research Fellowship
2017 Best Undergraduate Portfolio Award, Penn State Engineering Science
2013 - 2017 Awarded four undergraduate merit scholarships

Skills

Basics

Bash, Git, LaTeX, HTML, CSS

Languages

Python, Perl, Matlab, C++, Mathematica

Frameworks

Tensorflow, NumPy, OpenCV, PyTorch, SciPy, Pandas, Seaborn, Matplotlib

Systems

Linux (Red Hat, Ubuntu, Kali), Windows

All Publications

Google Scholar

Journal Articles

Computational and experimental characterization of RNA cubic nanoscaffolds
Kirill A. Afonin, Wojciech Kasprzak, Eckart Bindewald, Praneet S. Puppala, Alex R. Diehl, Kenneth T. Hall, Tae Jin Kim, Michael T. Zimmermann, Robert L. Jernigan, Luc Jaeger, Bruce A. Shapiro
Methods 2014
[P1] [abs] [pdf]

Posters

Novel Visualizaion and Analysis Tools to Elucidate RNA Nanostructure Dynamics
Kenneth T. Hall, Wojciech K. Kasprzak, Kirill A. Afonin, Eckart Bindwald, Tae-Jin Kim, and Bruce A. Shapiro
NCI Student Showcase 2014
[P1] [pdf]

Fun Side Projects

  • LoL-Match-Prediction: Neural network win probability classification for League of Legends matches.
  • EEG-Pong-Game: Pygame Pong implementation with Matlab controller and EEG decoding by common spatial patterns.
  • WeatherSleuth: From scratch PHP driven blog platform for WeatherSleuth LLC.
  • Crypto-trade-bot: Sentiment analysis cryptocurrency trading recommendations with deep learning on google search and twitter data.
  • Acronym-Reclamation-Module-ARM: People use too many acronyms. Get rid of them with this silly python script.

Last updated on 2018-09-11