Maxwell Wang, a former NetMath (Calculus & Mathematica) student at the University of Illinois, started learning calculus and exploring Mathematica since fifth grade. He has been pursuing research in applied mathematics. In 2012, he attended the Research Science Institute, hosted by MIT, as an intern in the Model-based Embedded and Robotic Systems Group of the Computer Science and Artificial Intelligence Lab (CSAIL) and wrote a paper on autonomous robotics networks. He will attend Washington University in St. Louis with a full-tuition scholarship as a freshman in Fall, 2013. He is excited to expand his interests in electrical engineering and biomedical applications.
While he is not thinking about classifying his surroundings through Mathematica-related symbolism, Maxwell loves to convey his emotions through classical ballet movements.
Project: Determining Patient Vital Signs through Facial Image Analysis
The development of non-intrusive methods for assaying subjects’ vital signs is of interest for scenarios where there is too large of a population to deploy traditional instruments or where there is a stigma against traditional instruments. We investigate the use of computer vision algorithms for determining a person’s eye movement and heart rate from webcam-quality video feeds. Our analysis includes properties traditionally associated with the level of activity, such as pigmentation and trajectories of facial features. We envision that these techniques will serve as a potential alternative to medical techniques such as pulse oximetry and sphygmomanometers, paving the way for crowd-sourced, large-scale public health studies and real-time population medical analytics.
Favorite Four-Color, Four State Turing Machine