The School of Information’s May 2021 Virtual Commencement presented an opportunity to honor both faculty and student achievements.
The faculty Head Graduate Advisors presented awards for outstanding capstone projects from the Master of Information Management and Systems program, the Master of Information and Data Science program, and the Master of Information and Cybersecurity program.
Students in both the MIMS, MIDS, and MICS programs voted for their most outstanding instructors and gave awards to their classmates.
James R. Chen Award for Outstanding MIMS Final Project, 2021
Ontology Mapping for Cardiovascular Ailments
Brinda Gurusamy, Ramya R, Vibhor Sehgal
Advisor: Hany Farid
Next to chest x-ray, ultrasound is the single highest-volume cardiac imaging test practiced in millions of hospitals worldwide. And yet, reporting is highly variable despite the clinical guidelines on what to report. Variability in reporting hurts doctors’ and patients’ ability to communicate the test results and hampers the ability to harmonize data and data labels in pursuit of effective and robust machine learning models for cardiac ultrasound imaging. This project aims at building robust methods for clinical report harmonization.
James Carney, Joanne Jia, Archana Kulkarni, Cameron Lopez
Advisor: Chris Jay Hoofnagle
Have you ever wished you could do something about the creepy ads you see or the eerily accurate people search results about you? PrivacyBot is a free and open-source way to delete your data from an exhaustive list of data brokers and people search sites.
MIMS Video Award
Hal R. Varian MIDS Capstone Award, Spring 2021
Jia Lu, Gunnar Mein, Thaddeus Segura, Karen Wong
Legionnaires’ disease is a severe pneumonia with a 1 in 10 fatality rate, and cooling towers containing Legionella bacteria are a common source of community outbreaks. TowerScout is a tool that uses machine learning to automatically detects cooling towers visible from aerial imagery across the United States.
Lily L. Chang MICS Capstone Award, Spring 2021
Bryan Everly, Greg Herweg, Jennifer Mvongo, Chukwunenye Nnebe, Sam Sabetan
hunnypOT is a network appliance that simulates an Industrial Control System network. It provides an early warning system so that attacks on critical infrastructure (such as power plants, water treatment facilities and telecommunications networks) can be detected before the attacker can cause damage.
MICS Capstone Video Award
Faculty Awards, Spring 2021
Distinguished Faculty Award (MIMS program): Coye Cheshire
Distinguished Faculty Award (MIDS program): Fred Nugen
Distinguished Faculty Award (MICS program): Stuart Schechter
Students with the Most Spirit (MIMS): Jyen Yiee Wong
Outstanding Teaching Assistant (MIMS): Grace Chung
Outstanding Teaching Assistant (MIDS): Bill (Koohong) Chung