Mehrdad Fahimnia
Active Rotman Lens for Low-Cost Passive Millimeter-Wave Imaging Systems
Noreen Nga-Yee Wong
Design of a Two-Stage Level-Two Bidirectional On-Board Battery Charger for Plugin Vehicles
Chun Wah Wallace Wu
Methods for Reducing Monitoring Overhead in Runtime Verification
Ahmed Khairy Farahat Helwa
Greedy Representative Selection for Unsupervised Data Analysis
In recent years, the advance of information and communication technologies has allowed the storage and transfer of massive amounts of data. The availability of this overwhelming amount of data stimulates a growing need to develop fast and accurate algorithms to discover useful information hidden in the data. This need is even more acute for unsupervised data, which lacks information about the categories of different instances.
Matthew Chan
Curiosity-Based Learning Algorithm for Interactive Art Sculptures
Dana Kulic and Robert Gorbet (Knowledge Integration)
Alireza Zandieh
Integrated System and Component Technologies for Fiber-Coupled MM-Wave/THz Systems
Nizar Mrabet
Mixed-Signal Multimode Radio Software/Hardware Development Platform
Arpan Mukhopadhyay
Randomized Job Assignment in Heterogeneous Multi-Server Systems
Ravi Mazumdar
Jianchen Tao
Inorganic/Organic Hybrid Infrared Imaging Upconversion Device
Jonathan Feng-Shun Lin
Automatic Physiotherapy and Rehabilitation System
Current physiotherapy practice relies on visual observation of the patient for diagnosis and assessment. The assessment process can potentially be automated to improve accuracy and reliability. This thesis proposes a method to recover patient joint angles and automatically extract movement profiles utilizing small and lightweight body-worn sensors.