James KY Lam

About

James KY Lam received PhD in the Dept. of CSE at HKUST. He is advised by Prof. Pan HUI as a member of the SyMLab. He earned his B.Sc. from the School of Creative Media, City University of Hong Kong on July, 2013.

Technician for M1 Fund USDT conversion, knowledge and experience in CRYPTO HOST / API / SSH/ DROPBOX / S2S. Experience in TRC-20 and ERC-20 USDT Pay out. Assistant for CIS and blackscreen validation, and API File (JSON, CSV, XML,binary) in Global Server. Experienced in completing Sender/Receiver deals in an efficient server crypto-topayable-USDT strategy. This eclipses S2S, IPIP, GPI models dramatically.

His PhD research in Human-Computer Interaction focuses on Advanced Artificial Intelligence in Augmented Reality and Multimodel input Interface. James has previously worked on Augmented Reality(AR) system, from hardware to software including end-user application and cloud server, to create an intuitive and easy to use AR system for providing a user-centric information visualization.
His latest work is building a framework to provide a user-centric web browsing experience adapted to AR devices

Publications

[c.9] Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence
(Under Review) Jacky Cao, Kit-Yung LAM, Lik-Hang LEE, Xiaoli LIU, Pan HUI and Xiang SU.
ACM Computing Survey (CSUR)

[c.8] A2W: Context-Aware Recommendation System for Mobile Augmented Reality Web Browser.
(In-press) Kit-Yung LAM*, Lik-Hang LEE*, and Pan HUI. (*co-first author)
ACM Multimedia 2021 (MM'2021), Chengdu, China.

[c.7] From seen to Unseen: Designing Keyboard-less Interfaces for text entry on constrained screen real estate of Augmented Reality Headsets.
Lik-Hang LEE, Kit-Yung LAM, Yui-Pan YAU, Tristan BRAUD and Pan HUI
Journal of Pervasive and Mobile Computing.

[c.6] MyoKey: Surface Electromyography and Inertial Motion Sensing-based Text Entry in AR
Y. KWON, Kirill SHATILOV, Lik-Hang LEE, Serkan KUMYOL, Kit-Yung LAM, Yui-Pan YAU, and Pan HUI
IEEE (PerCom) Pervasive computing and communications 2020. Texas, USA. [Work-in-Progress Paper]

[c.5] Quadmetric Optimized Thumb-to-Finger Interaction for Force Assisted One-Handed Text Entry on Mobile Headsets
Lik Hang LEE, Kit Yung LAM, Tong Li, Tristan BRAUD, Xiang Su and Pan HUI
UbiCOMP 2019

[c.4] M2A: A Framework for Visualizing Information from Mobile Web to Mobile Augmented Reality
Kit Yung LAM, Lik Hang LEE, Tristan BRAUD, and Pan HUI
Idea video PerCom 2019

[c.3] HIBEY: Hide the Keyboard in Augmented Reality
Lik Hang LEE, Kit Yung LAM, Yui Pan Yau, Tristan BRAUD, and Pan HUI
Prototype demonstration PerCom 2019

[c.2] 3D fog display using parallel linear motion platforms
Miu-Ling Lam ; Bin Chen ; Kit-Yung Lam ; Yaozhun Huang
2014 International Conference on Virtual Systems & Multimedia (VSMM)

[c.1] Path Planning as a Service PPaaS: Cloud-based Robotic Path Planning
Miu-Ling Lam ; Kit-Yung Lam
2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)

Awards

Teaching Experience

Work in progress

Pressure-Sensitive Force-Touch keyboard:

Arduino connecting the A pressure sensor array, use the force touch date of each sensor as keyboard press event.

Design details (5 layers design) :
Velcro (loop)
Conductive fibric
+ conductive wire connect to +5V power supply in arduino
Velostat Pressure-Sensitive Conductive Sheet 
- conductive wire connect to signal pin in Arduino
Conductive fibric
Velcro (Hook)