The Wong Lab

Ph. D. Students

• Taylor Dinkins
• Jun Chen (co-advised with Bechir Hamdaoui)
• Andrew Droubay (co-advised with Rebecca Hutchinson)
• James Flora
• Fiona Luhrmann (Civil Engineering; AI minor advisor)

M. S. Students

• Mahalakshmi Jinadoss (co-advised with Karthika Mohan)

Undergraduate Students

• Lucy Lin (OSU Honors)
• Jack Stevenson (OSU Honors)
• Kimberley Truong (OSU Honors)

Alumni

• Matt Olson, Ph. D., Characterizing and Addressing Dataset Shift with Deep Learning, May 2023 (Lawrence Livermore National Labs)
• Sabrina Reis, REU, Winter 2021-Winter 2023 (University of Oregon)
• Luke Puppo, M. Sc., ActivDetect: A Novel Open-Set Detection Method for Automating RF Device Authentication, March 2023 (Piper Sandler)
• Thomas Noel, M. Sc. (co-advised with Tom Dietterich), Exploring Outlier Exposure Methods for Deep Margin-Based Anomaly Detection, August 2022 (Nova Dynamics)
• Travis Moore, Ph. D., Efficient Algorithms for Robust Spatiotemporal Data Analysis, August 2021 (Postdoc at OHSU)
• Rogen George, M. Sc., Dimensionality Reduction Techniques for Compositional Data: An Empirical Study, June 2021 (Amazon)
• Satpreet Singh, M.Sc., Visualization and Analysis of Sensor Data for Detecting Microclimate Cold Air Pools, Aug 2017 (now PhD student at UW)
• Xinze Guan, Ph. D. (co-advised with Raviv Raich), Weakly Supervised Learning for Activity Recognition from Time Series Data, June 2017 (eBay)
• Shubhomoy Das, Ph.D., Incorporating User Feedback into Machine Learning Systems, May 2017 (Postdoc at Washington State University)
• Taj Morton (co-advised with Molly Megraw), M.Sc., Prediction of Gene Transcription Start Sites and Initiation Patterns from DNA Sequence Content, Nov. 2014 (Reliable Robotics)
• Matt Unrath, Honors Thesis, Spring 2014
• Jun Yu, Ph.D., Machine Learning for Improving the Quality of Citizen Science Data, Dec 2013 (Snap).
• Michael Anderson, M.Sc., Physical Activity Recognition of Free-Living Data Using Change-Point Detection Algorithms and Hidden Markov Models, June 2013 (Microsoft).
• Yonglei Zheng, M.Sc., Predicting Activity Type and Energy Expenditure from Accelerometer Data, Aug 2012 (Amazon.com).
• Doug Bryant Jr, Ph.D. (Co-advised with Todd Mockler), Algorithms for Massive Biological Data Sets, Fall 2011 (Danforth Institute)
• Paul Wilkins, M. Sc., Application of Conditional Topic Models to Species Distribution Prediction, Fall 2010 (Instructor at Lane Community College)
• Ian Oberst, M.Sc., On Feature Relevance Feedback Methods: Incorporating Labeled User Features, Spring 2010 (Huron Consulting Group)
• Chris Mills-Price, M.Sc., Preference Learning with Structured Prediction: An Empirical Comparison of SVM-Struct and Structured Gradient Boosting, Spring 2010 (Grass Valley)
• Pavan Vatturi, M.Sc., Category Detection using Hierarchical Mean Shift, Fall 2008 (Google)
• Dharin Maniar, M.Sc., Classification of Motion Capture Sequences, Fall 2008 (Nextag)
• Matt Hillier, M.Sc., Visualization and analysis of species distributions, Fall 2007 (Norpac)
• Justin Silva, MSc, Automated enterprise alert monitoring, Fall 2007 (Huron Consulting Group)
• Ryan Neill, REU, Fall 2008-Spring 2009
• Walt Woods, REU, Fall 2007-Spring 2009
• Stephen Perona, REU, Spring 2008-Fall 2008
• Paul Strauss, REU, Winter 2007-Fall 2007