Titus Fong, D.Eng.
Fremont, California, United States
1K followers
500+ connections
About
BS, MCS (Illinois), DEng (GW)
Dr. Titus Fong is a Machine Learning Engineer in the…
Activity
-
I found a algorithm on improving Scotch whisky recommendation and worked better than Euclidean distance. Through, I think domain expertise (aka…
I found a algorithm on improving Scotch whisky recommendation and worked better than Euclidean distance. Through, I think domain expertise (aka…
Liked by Titus Fong, D.Eng.
-
Many smart people are calling bullshit on LLMs at the same time.
Many smart people are calling bullshit on LLMs at the same time.
Liked by Titus Fong, D.Eng.
-
I have a great opportunity for the right growth-oriented person specializing in competitive intelligence. Must be up for a challenge and be willing…
I have a great opportunity for the right growth-oriented person specializing in competitive intelligence. Must be up for a challenge and be willing…
Liked by Titus Fong, D.Eng.
Experience
Education
-
The George Washington University
-
● Dissertation Title: "Identifying Product Defects by Applying a Predictive Model to Customer Reviews"
https://pqdtopen.proquest.com/doc/2439310492.html?FMT=ABS
Defended on July 31st, 2020
● Research Interest:
Text Mining, Machine Learning, Neural network, Quality and Risk management
● Relevant Coursework:
Discrete Systems Simulation; Quant Models in Systems Eng; Uncertainty Analysis for Engin; Advanced Systems Engineering; Data Analysis for Eng & Sci; Entrepreneurship & Tech;…● Dissertation Title: "Identifying Product Defects by Applying a Predictive Model to Customer Reviews"
https://pqdtopen.proquest.com/doc/2439310492.html?FMT=ABS
Defended on July 31st, 2020
● Research Interest:
Text Mining, Machine Learning, Neural network, Quality and Risk management
● Relevant Coursework:
Discrete Systems Simulation; Quant Models in Systems Eng; Uncertainty Analysis for Engin; Advanced Systems Engineering; Data Analysis for Eng & Sci; Entrepreneurship & Tech; Survey Rsch Formultn for EMgt -
-
-
-
● Relevant Coursework:
Text Information Systems, Data Mining,Data Visualisation, Data Cleaning, Distributed Systems, Advanced Bayesian Modelling, Foundations of Data Curation
● Projects:
Chicago Divvy Bike Trip Recommendation Engine(2016)
Beijing Pm2.5 pollution data visualisation project(2017) -
-
● Senor Design Project: ExoWear Medical Fitness Device (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.)
● Study Abroad at Technical University of Denmark (DTU), Fall 2014
● Phi Sigma Theta, National Honor Society (2013), IEEE(Fall 2012-Present)
● Data Replication study project (team) in 02228 Fault-tolerant Systems in (DTU, Denmark)in 2014
●…● Senor Design Project: ExoWear Medical Fitness Device (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.)
● Study Abroad at Technical University of Denmark (DTU), Fall 2014
● Phi Sigma Theta, National Honor Society (2013), IEEE(Fall 2012-Present)
● Data Replication study project (team) in 02228 Fault-tolerant Systems in (DTU, Denmark)in 2014
● Finite-difference time-domain (FDTD) Individual study (ECE 397) with Prof. W. C. Chew (ECE Illinois) in 2013 -
-
● Data Replication study project (team) in 02228 Fault-tolerant Systems in (DTU, Denmark)in 2014
-
-
AP Scholar with Distinction
Licenses & Certifications
-
Generative AI with Large Language Models
DeepLearning.AI, Amazon Web Services
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Doctor of Engineering, Engineering Management
The George Washington University
Credential ID 2046-BC4D-TNGJ TI
Publications
-
Auto Defect Detection Using Customer Reviews for Product Recall Insurance Analysis
Frontiers in Applied Mathematics and Statistics
While there is a large number of OCRs available on social media and e-commerce sites, it is difficult for insurers and manufacturers to manually inspect those OCRs for defective information, which will delay product recall. This research demonstrated a novel predictive model using Recurrent Neural Network (RNN) models and Latent Dirichlet Allocation (LDA) topic model to extract product defect information from OCRs. This research also proposes a novel approach, combined with RNN and LDA models…
While there is a large number of OCRs available on social media and e-commerce sites, it is difficult for insurers and manufacturers to manually inspect those OCRs for defective information, which will delay product recall. This research demonstrated a novel predictive model using Recurrent Neural Network (RNN) models and Latent Dirichlet Allocation (LDA) topic model to extract product defect information from OCRs. This research also proposes a novel approach, combined with RNN and LDA models, to provide the insurers and the policyholders with an early view of product defects.
Courses
-
Advanced Bayesian Modelling
STAT 578/CS 598
-
Advanced Systems Engineering
EMSE 6807
-
Data Analysis for Engineers and Scientists
EMSE 6765
-
An Introduction to Data Warehousing and Data Mining
CS412
-
Analog Signal Processing
ECE210
-
Applied Machine Learning
CS 498
-
Basic Discrete Mathematics
MATH 213
-
Computer Engineering II
ECE198JK
-
Data Analysis for Eng & Sci
EMSE 6765
-
Data Structures
CS225
-
Data Visualization
CS498 DDV
-
Digital Signal Processing
02451
-
Digital System Laboratory
ECE385
-
Distributed Systems
CS425
-
Electromagnetics
31400
-
Electronic Music Synthesis
ECE402
-
Fault-Tolerant Systems
02393
-
Foundations of Data Curation
IS531
-
IC Device Theory & Fabrication
ECE444
-
Individual Study in ECE Problems
ECE 397
-
Introduction to Computer Eng
ECE198JL
-
Introduction to Electronics
ECE110
-
Model-Based System Engineering
EMSE 6817
-
Model-Based Systs Engrg
EMSE 6817
-
Power Circuits and Electromechanics
ECE330
-
Principles of Marketing
BADM 320
-
Probability with Engineering Applications
ECE313
-
Programming in C++
02393
-
Quantitative Models in Systems Engineering
EMSE 6850
-
Semiconductor Electronics
ECE340
-
Senior Design Project Lab
ECE445
-
Statistical Design and Analysis of Experiments
02411
-
Text Information Systems
CS410
-
Theory and Practice of Data Cleaning
CS 598 DCL
-
Univ Physics: Quantum Physics
PHYS 214
-
Univ Physics: Thermal Physics
PHYS 213
-
University Physics: Elec & Mag
PHYS 212
Projects
-
Chicago Divvy Bike Trip Recommendation Engine
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.
-
ASTRI Innovation Runway fellowship program website
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
-
Bayesian Analysis of Heart Disease Data
-
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…
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.
-
ExoWear
-
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…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.
-
Beijing Pm2.5 pollution data visualization project
-
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.
Honors & Awards
-
iVenture Fellow
iVenture startup accelerator, Entrepreneurship at Illinois
With the work that my colleagues and I have done at Exowear, our team is very honored to have selected into iVenture startup accelerator out of 125 students representing 44 startups applied for iVenture.
-
3rd Prize Winner , Non-University Resource Track
2016 Cozad New Venture Competition
With the work that my colleagues and I have done, our team is very honoured to have won the third prize out of 120 competitors in the Cozad New Venture Competition 2016 in UIUC.
Languages
-
Chinese
-
-
English
-
-
German
-
More activity by Titus
-
🥰It’s my honour to attend the Reception for New Establishments of International and Mainland Businesses in Hong Kong (國際及內地企業落戶香港歡迎會) at Central…
🥰It’s my honour to attend the Reception for New Establishments of International and Mainland Businesses in Hong Kong (國際及內地企業落戶香港歡迎會) at Central…
Liked by Titus Fong, D.Eng.
-
I’m excited to share that DoorDash has made its debut entry into the 2024 Fortune 500 list! This prestigious achievement places us among the top 500…
I’m excited to share that DoorDash has made its debut entry into the 2024 Fortune 500 list! This prestigious achievement places us among the top 500…
Liked by Titus Fong, D.Eng.
-
Today marks my last week of classes for the quarter, and I can hardly believe I’ve been at Northwestern University - Kellogg School of Management for…
Today marks my last week of classes for the quarter, and I can hardly believe I’ve been at Northwestern University - Kellogg School of Management for…
Liked by Titus Fong, D.Eng.
-
I’m excited to share that I’ll be a guest speaker at a virtual design event this Thursday (5/28 PST), discussing my professional growth at AWS. Tim…
I’m excited to share that I’ll be a guest speaker at a virtual design event this Thursday (5/28 PST), discussing my professional growth at AWS. Tim…
Liked by Titus Fong, D.Eng.
-
I have not been to Tokyo for 27 years, it is nice to see the changes over the years! (Especially it is very affordable!)
I have not been to Tokyo for 27 years, it is nice to see the changes over the years! (Especially it is very affordable!)
Liked by Titus Fong, D.Eng.
-
It’s an honor and a privilege to be part of the Artificial Intelligence Digital Innovation Summit hosted by gds. The key takeaways of the summit…
It’s an honor and a privilege to be part of the Artificial Intelligence Digital Innovation Summit hosted by gds. The key takeaways of the summit…
Liked by Titus Fong, D.Eng.
-
Happy New Year to my friends and colleagues. Last year was a banner year, and I expect 2024 to be even more successful and productive. That said, I…
Happy New Year to my friends and colleagues. Last year was a banner year, and I expect 2024 to be even more successful and productive. That said, I…
Liked by Titus Fong, D.Eng.
-
It’s time for us to tap into the new areas of growth for cargo in the post-COVID era. Unilode team are attending The 17th China Air Cargo Summit 2023…
It’s time for us to tap into the new areas of growth for cargo in the post-COVID era. Unilode team are attending The 17th China Air Cargo Summit 2023…
Liked by Titus Fong, D.Eng.
Other similar profiles
Explore collaborative articles
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Explore More