Kin-Ho Lam's Website
picture_of_me

Kin-Ho Lam

Hello and welcome to my website! My full name is pronounced /kIn/-Hoʊ Lăm 🔊. I usually go by my last name, 'Lam'. ✌️

I'm from Oregon 🌲. I hold a Bachelors of Computer Science (2019), and a Masters of Artificial Intelligence (2022) from Oregon State University 🦫. My graduate studies advisor was Professor Alan Fern.

I enjoy projects in AI research, AI engineering, and Devops/ML-ops. I'm currently pursuing interests in the computer vision domain, but I also enjoy tackling problems in RL. My hobbies include weight lifting, working on personal programming projects, 3D printing, flying drones, and playing video games.

Collaborations

Company
Year
Role
Buzz Solutions
July 2024 - present
Sr AI Engineer
MiCROTEC USA
July 2022 - May 2024
AI Engineer I & II; AI Technical Lead on the Lucidyne scanner
Oregon State University
January 2018 - 2022
Graduate Student & Staff Researcher
Tektronix (MECOP)
June 2018 - December 2018
Junior DevOps SWE; Time Domain Business Unit Oscilloscope DevOps Team
HillRom WelchAllyn (MECOP)
April 2017 - November 2017
Junior SWE; RetinaVue
Oregon State University Central & College of Forestry IT
2014 - 2018
IT Computer Technician

Publications

Beyond Value: CheckList for Testing Inferences in Planning-Based RL (arxiv)
Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern; ICAPS 2022, June 2022. [arxiv] [ojs.aaai.org]

ICAPS Presentation (youtu.be/y-mBl3_A1Co)
Multi-Task Learning for Budbreak Prediction (ojs.aaai.org)
Aseem Saxena; Paola Pesantez-Cabrera; Rohan Ballapragada; Kin-Ho Lam; Markus Keller; Alan Fern; AAAI 2023, June 2023. [ojs.aaai.org] [AgAID Institute]
Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations (arxiv)
Kin-Ho Lam, Zhengxian Lin, Jed Irvine, Jonathan Dodge, Zeyad T Shureih, Roli Khanna, Minsuk Kahng, Alan Fern; IJCAI-PRICAI 2020 Workshop, June 2020. [arxiv]
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions
Zhengxian Lin, Kin-Ho Lam, Alan Fern; ICLR 2021. [arxiv]
Finding AI's Faults with AAR/AI: An Empirical Study
Roli Khanna, Jonathan Dodge, Andrew Anderson, Rupika Dikkala, Jed Irvine, Zeyad Shureih, Kin-Ho Lam, Caleb R. Matthews, Zhengxian Lin, Minsuk Kahng, Alan Fern, Margaret Burnett; ACM Transactions on Interactive Intelligent Systems, 2021
"Why did my AI agent lose?": Visual Analytics for Scaling Up AAR/AI
Delyar Tabatabai, Anita Ruangrotsakun, Jed Irvine, Jonathan Dodge, Zeyad Shureih, Kin-Ho Lam, Margaret Burnett, Alan Fern, Minsuk Kahng, IEEE VIS 2021. [ieeexplore]

Research Interface Demo (youtu.be/e0F4JZO5yEM)
From “no clear winner” to an effective Explainable Artificial Intelligence process: An empirical journey
Jonathan Dodge, Andrew Anderson, Roli Khanna, Jed Irvine, Rupika Dikkala, Kin-Ho Lam, Delyar Tabatabai, Anita Ruangrotsakun, Zeyad Shureih, Minsuk Kahng, Alan Fern, Margaret Burnett; AI Letters 2021 [doi.org]
Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches
Rupika Dikkala, Roli Khanna, Caleb Matthews, Jonathan Dodge, Sai Raja, Catherine Hu, Jed Irvine, Zeyad Shureih, Kin-Ho Lam, Andrew Anderson, Minsuk Kahng, Alan Fern, Margaret Burnett; ACM/IEEE 14th International Conference on Cooperative and Human Aspects of Software Engineering (CHASE 2021), May 2021
After-Action Review for AI (AAR/AI)
Jonathan Dodge, Roli Khanna, Jed Irvine, Kin-Ho Lam, Theresa Mai, Zhengxian Lin, Nicholas Kiddle, Evan Newman, Andrew Anderson, Sai Raja, Caleb Matthews, Christopher Perdriau, Margaret Burnett, Alan Fern; ACM Transactions on Interactive Intelligent Systems, 11(3-4), Article 29, 35 pages, 2021
Keeping It "Organized and Logical": After-Action Review for AI (AAR/AI)
Theresa Mai, Roli Khanna, Jonathan Dodge, Jed Irvine, Kin-Ho Lam, Zhengxian Lin, Nicholas Kiddle, Evan Newman, Sai Raja, Caleb Matthews, Christopher Perdriau, Margaret Burnett, Alan Fern; ACM Int. Conf. Intelligent User Interfaces, March 2020

Projects

Depth Sensing with Computer Vision and Lidar (2019)
For my university capstone project, I developed a multi-dimensional depth sensor by combining computer vision with a single-dimension lidar sensor. The final system incorporated a wooden jig, a pre-trained YOLO model, a 4K Logitech webcam, and an RPlidar A1 sensor.
Depth Sensor System Demo (youtu.be/6v8h8LPFRls) github.com/DSCVL Paper (Github, LaTeX)
Reinforcement Learning Experimental Domain (2020)
Our research explored explanation-informed acceptance testing of deep adaptive programs. I designed explanation-rich scenarios for research, managed a graduate-student team, coordinated, designed, and ran human-subject studies. The following is video of the game I designed for our research, a simplified version of Starcraft 2. Inspired by the popular mod "Nexus Wars", this experimental domain features an adversarial multi-agent dynamic, discrete action space, continuous state space, and a partially observable environment.
Reinforcement Learning Experimental Domain Demo (youtu.be/cKMG5-XsIzc)
khlam.github.io/bayes
Stateless web application, Binary Naive Bayes Classifier calculator in your local browser. Enter features or observations and calculate probabilities.
khlam/debloat-samsung-android
ADB commands to de-bloat Samsung Android Phones without root. Makes Samsung One UI closer to stock Android without breaking useful features.
github.com/WorldofAddons/
World of Warcraft (WoW) Addon manager. Open source, built with Electron, minimalist GUI. CI/CD, testing, packaging, and deployment.
khlam.github.io/math
Stateless web application, quick math practice in your local browser. Randomly generated addition, subtraction, multiplcation, and division math problems within your own constraints.
khlam.github.io/time
Stateless web application, displays the current time. Double-click to set a count-down.
Generative AI, including large language models, was not used in my stuff before 7/16/2023.