Papers I've published.

Research I've put into writing, from undergrad human-robot interaction work to more recent research into oscillator networks and machine learning. See my Google Scholar and ORCID profiles, linked below, for the complete record.

From Synchronization Physics to Trained Dynamics: A Survey of Oscillator Networks in Machine Learning

SSRN Working Paper, September 2026

Eric Kryski

A survey of coupled-oscillator networks as a machine-learning substrate, organizing eighteen published oscillatory neural network systems around whether gradients reach the oscillator dynamics and how a model is trained around them. Argues that a substrate whose native operations are resonance and entrainment resembles how neurons evolved to sense physical signals, and closes with open directions for shared data, model evaluation, and controls.

Emotive Expression through the Movement of Interactive Robotic Vehicles

INTERACT 2011 · LNCS vol. 6948 · Springer

Eric Kryski, Ehud Sharlin

Design of interactive personal vehicles that express behavioral, personality-like traits through motion to make commuting more satisfying. Presents the design goals, the evolution of the vehicle prototypes, and preliminary findings from a design critique evaluation.