Education

University of Waterloo

Ph.D. Student in Computer Science • 2017 — Present

Korea University

B.S. in Computer Science and Engineering • 2013 — 2017

University of Chicago

B.A. • 2008

Honors and Awards

2018 - Learning Innovation and Teaching Enhancement (LITE) Full Grant, Centre for Teaching Excellence @ UWaterloo ($23,000; 2 years)
2017 - Ontario Trillium Scholarship, Ontario State Government ($40,000/year; 4 years)
2017 - Go-Bell Scholarship, University of Waterloo ($12,000/year; 2 years)
2016 - Best Student Paper Award, IEEE International Conference on Data Mining
2016 - Best Graduate Student Project (Research), Korea University
2016 - Best Graduate Student Project (Software), Korea University
2016 - KU Research Scholarship, Korea University
2016 - Student Travel Award, IEEE International Conference on Data Mining
2016 - Academic Excellence Award, Korea University
2016 - SK Creative Challenge Award, Human-Computer Interaction Korea Conference
2015 - Project Management Award, Korea Project Management Association
2015 - Outstanding Mentor Award, Ilju Foundation
2014 - Ilju Scholarship, Ilju Foundation (Full tuition & living expense; 3 years)
2010 - Outstanding Soldier Award, Republic of Korea Army
2009 - Distinguished Recruit Award, Republic of Korea Army

Publications

S. Suh, J. Choo, J. Lee, and C. Reddy. "Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization". In IJCAI 2017.

S. Suh, S. Shin, J. Choo, J. Lee and C. Reddy. "Localized User-Driven Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization". In KAIS 2017.

S. Suh, J. Choo, J. Lee and C. Reddy. "L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization". In ICDM 2016.
(Best Student Paper Award)

S. Chung, S. Suh, C. Park, K. Kang, J.Choo and B. Kwon. "ReVACNN: Real-Time Visual Analytics for Convolutional Neural Network". In SIGKDD Workshop on Interactive Data Exploration and Analytics 2016.

S. Chung, C. Park, S. Suh, J. Choo and B. Kwon. "ReVACNN: Steering Real-Time Visual Analytics for Convolutional Neural Network". In NIPS Workshop on Future of Interactive Learning Machines 2016.

Research Experience

Data Mining & Information Systems Lab

Korea University • 2014

Data and Visual Analytics Lab

Korea University • 2015-2016

CrowdLab

University of Waterloo • 2018-Present

Invited Talks

"L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization"
Korean Institute of Information Scientists and Engineers (KIISE) • Dec. 2016

"L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization"
IEEE International Conference on Data Mining (ICDM) • Dec. 2016

"ReVACNN: Steering Real-Time Visual Analytics for Convolutional Neural Networks"
Future of Interactive Learning Machines workshop at Neural Information Processing Systems (NIPS) • Dec. 2016

"EYEscort: Beacon-driven navigation app for the visually-impaired"
HCI Korea Conference • Feb. 2016

Teaching Experience

CS105: Introduction to Computer Science I (Teaching Assistant, Fall 2018)
CS106: Introduction to Computer Science II (Instructional Assistant, Winter 2018; Winter 2019)
CS135: Designing Functional Programs (Teaching Assistant, Fall 2017)
CS449/649: Human-Computer Interaction (Teaching Assistant, Spring 2018; Spring 2019)

Industry Experience

Pluscope

Chief Technology Officer (CTO) • 2018

Designed & built an educational platform that connects retired elders in North America with students in Africa to tackle their education and social problems

Daumsoft

Data Visualization Engineer • 2016

Implemented APIs for data visualization (d3.js) and designed the layout for the company’s central system which presents all the services the company provides

Pagoda Academy

TOEFL Instructor • 2011 - 2012

Taught more than 2,000 students and pioneered a novel method called 'Speaking without Thinking' which significantly improved their English proficiency

Service

Reviewer. CHI2018, IDC2019, UWTL2019
Program Committee. AAMAS/IJCAI/ECAI/ICML 2018 (TRUST Workshop)