Portrait of Kenneth Tran

Kenneth Tran

Principal Research Engineer


I’m a Principal Research Engineer in the Deep Learning Group. I have a wide interest in Machine Learning spanning from theory to practice to system designs.

My current main research pursuit is reinforcement learning (RL) with focus on model-based reinforcement learning, uncertainty quantification, and planning/decision making under uncertainty; and real-world optimal control applications, including indoor farming optimization and industrial robotics at large.

Previously, I’ve also worked on:

Convolutional neural nets and computer vision (object detection, image segmentation, image classification, etc.)
Image captioning and multimodal modeling
Optimization algorithms
DL/ML platform

Below are some of the projects in which I’ve played a leading role:

Deep Reinforcement Learning for Control Problems in Data Center Energy Optimization, Indoor Agriculture, etc.
Project FarmBeats: AI & IoT for Agriculture
Computer Vision API for Cognitive Services

In addition, I’m also the chief mentor of Microsoft AI School’s advanced projects class.

Microsoft Asia News Center describes our indoor vertical farming research
Project FarmBeats highlighted by Satya Nadella as one of 10 projects that inspired him in 2017
Image Captioning Service starts to serve Microsoft Office users – Word and PowerPoint will use AI to automatically write photo descriptions – more on Office blogsThe VergeVentureBeat.
CaptionBot.ai has received millions of requests for captioning. Lots of fun stories are shared at Business InsiderTechCrunchEngadgetThe Washington Post,  ForbesCNNGizmodoBBCThe TelegraphDaily MailThe GuardianMashable, and more (tech summarized here).