THONG NGUYEN

Research Student, Deep Neural network research, UT-Austin

• Proved error bounds for approximations with deep Rectilinear networks

• Researched ReLU neural networks hypothesis space and the associated bias, and piecewise linear approximation of C[a, b]

• Advisor: Tan Bui

Cyberfence, Online

• Conducted extensive research on cyberbullying's impacts on students to propose a cloud-based software that prevents toxic behaviors and assists schools and families in educating children on cyberbullying matters

• Deployed machine learning (NLP, CNNs, etc.)

Medical Diagnosis Software

• Applied machine learning in Python (traditional neural networks model, supervised learning algorithms, etc.) to train systems to classify and detect breast cancer and Covid-19 with 90% of accuracy

• Employed HTML, CSS, and ReactJS for web development

• Deployed machine learning using Flask

Real-time Odor Detection Machine, ZAPDEET

• Applied Micropython for an Esp32 and machine learning (Binary classification with Logistic Regression) to recognize odor at zoos by detecting the level of chemical compounds emitted from animals’ excrement with 70-80% accuracy

CaroTime

• Applied artificial intelligence, heuristic algorithms in Python (minimax, Alpha-Beta pruning, evaluation function, Zobrist hashing)

• Spearheaded the user interface using Tkinter and achieved 60-65% winning chance

VNU-HCMC High School for the Gifted, Ho Chi Minh City, Vietnam

GPA: 9.1/10.0 (grade 10), 8.7/10.0 (grade 11)

Fashionopolis

• Organized events and concepts for 20+ Fashion and Modeling club team members to create albums about fashion and clothing, reaching out to 5000+ people

Tedu

• Led 10 members to teach 20+ seniors at Hoa Mai Nursing Home to use various mobile apps including social media (Facebook and Instagram), Facetime, Communication Applications (WhatsApp, Zalo, Viber, Imess, Gmail), etc.

• Provided monthly sessions on Internet safety and informed the elderly on popular fraudulent activities

• Hosted weekly bonding sessions between the elderly and first graders; the youngsters would instruct the seniors to embrace new technology

• Built a ReactJS website with over 30 lessons ranging from Microsoft Office to broad Internet skills

• Promoted the website to 800+ high schoolers and 40+ elders and underprivileged primary students during COVID-19 lockdown

STEAM Club

• Learned and applied Arduino to engineer a robot showcased in 5 tech events, attracting 1000+ participants

• Collaborated with 6 teammates to produce holograms for Math Open Day at a local university and led 2 projects (Medical Diagnosis Software and ZAPDEET)

JustMedia (Broadcasting & Media Club)

• Collaborated with 10+ members to design 20+ posters and reach 10000+ people on Facebook

• Held monthly meetings to facilitate feedback on designs and ensure the quality of the final products

Silver Lining Charity (STEM Tutoring Initiative)

• Collaborated with 7 teammates to design 5 weeks of lessons for 100+ primary school students concerning STEM and English topics at Long An province

S’lavie Project

• Created and adjusted the math syllabus according to the student’s strengths and weaknesses

• Tutored math to 50+ 9th graders in ten weekly online sessions, boosting their average math score ranging from 9.3 to 9.9

• Deployed machine learning using Flask

F-zone Dance Club

• Performed in 10+ hip hop and choreography dance performances for 6 school events with 1000+ attendees

• Rehearsed for 8 hours a week with 20 team members