Titus Fong, D.Eng.

We designed and built a bike trip recommendation engine for bike rider to plan bike trip and to experience biking in the Chicago area. The recommendation engine per-computes best destination for each station using Vector Space Model and Cosine Similarity algorithm through Hadoop and Mapreduce. The bike trip recommendation engine also uses Google Maps API to provide the origin station, return station, and the bike route for biker to visualize.

Developed and deployed the ASTRI Innovation Runway fellowship program website using CSS, Javascript, wordpress, PHP in order to promote the AIR fellowship program that gives pre-incubation supports to young entrepreneurs

A Bayesian analysis performed on a data set that is composed of medical information for a collection of individual patients. The medical information includes data such as age, sex, various health markers, and the absence or presence of heart disease. For the purposes of this analysis, we are interested in the absence or presence of heart disease. In particular, we wish to create a Bayesian model from which we can use to predict the probability of the occurrence of heart disease for a given… Show more

A Bayesian analysis performed on a data set that is composed of medical information for a collection of individual patients. The medical information includes data such as age, sex, various health markers, and the absence or presence of heart disease. For the purposes of this analysis, we are interested in the absence or presence of heart disease. In particular, we wish to create a Bayesian model from which we can use to predict the probability of the occurrence of heart disease for a given patient, as well as to explain the relationship between the probability of the occurrence of heart disease and a patient’s age and cholesterol level. Show less

We designed and created a medical fitness device that tracks medical exercises, provides
real­time feedback and analytics, and seeks to improve patient compliance. A patient straps the
device to his leg before a home physical therapy session and pairs it with his computer. While
the exercise is being performed, the device’s sensors capture acceleration and rotation data from
the user’s movements which is then modeled for visualization on a computer screen. An
animated bar on the… Show more

We designed and created a medical fitness device that tracks medical exercises, provides
real­time feedback and analytics, and seeks to improve patient compliance. A patient straps the
device to his leg before a home physical therapy session and pairs it with his computer. While
the exercise is being performed, the device’s sensors capture acceleration and rotation data from
the user’s movements which is then modeled for visualization on a computer screen. An
animated bar on the screen simultaneously displays the correct motion for an exercise chosen by
the user that provides guidance and helps the user perform the exercise correctly. The device is
powered by an embedded rechargeable battery and can be charged with a standard mini USB
cable. This project received 3rd place in the 2016 Cozad New Venture Competition and has been
accepted into the 2016-­2017 iVenture, Polsky, and Summer@CIE Accelerators for further
development.
Show less

CS498 Data visualisation project on Beijing Pm2.5 data set from 2010 to 2014. This site uses Interactive Slideshow presentation and D3.JS JavaScript library to show different elements in the data set that is impacting the PM2.5 measurement.