ECE@NUS
ECE@NUS

Signal Analysis & Machine Intelligence

Signal Analysis & Machine Intelligence

Signal Analysis and Machine Intelligence


The Signal Analysis and Machine Intelligence (SAMI) group at the Electrical and Computer Engineering Department, National University of Singapore is actively working on a broad range of research topics in artificial intelligence, that include medical image processing, speech information processing, computer and human vision, learning, media, graphics, and human computer interaction.

SAMI is home to world-class faculty and researchers working on exciting projects. It is known for its long standing scientific leadership in imaging and vision computing, speech recognition and synthesis, and human language technology.

The research activities in the department of ECE cater increasingly tight integration of various application areas, and in the case of SAMI, this is especially notable. The ability to model, annotate, search, organize visual and verbal knowledge will change many aspect of science, medicine, manufacturing, education, information, entertainment, and defence. Ultimately, we want to develop engineering systems that can “see”, “hear” and “interact” intelligently with the world around them.

 

Research Focus


 

Human Language Technology


The Human Language Technology laboratory is known for its leadership in automatic speech recognition, speaker and language recognition, speech synthesis and conversion, spoken dialogue, and human-robot interaction. The laboratory undertakes industry projects and solves real-world engineering problems. It also leads major research programs in national initiatives such as Neuromorphic Computing, and AI Singapore. The team received numerous awards that include IEEE CIS Best Paper 2016, APSIPA ASC Best Student Paper 2017, ISCA Fellow 2018, and 1st Prize of International Competition for Brain-inspired Computing 2018.

Computational and Cognitive Neuroscience


The Computational and Cognitive Neuroscience group exploits computational techniques from machine learning, signal processing and statistics to advance our understanding of the brains of humans and non-human primates. Current focus includes the development of machine learning algorithms to automatically generate scientific discoveries from large-scale magnetic resonance imaging datasets, as well as population decoding techniques for analyzing large-scale electrophysiological data recorded in awake, behaving animals performing working memory and spatial navigation tasks.

Computer Vision and Machine Learning


The Computer Vision and Machine Learning group has focused on the most original research and technologies at the edges for computer vision, machine learning and their applications in real life. The group undertakes research projects from both industry and national research programs, that include fundamental machine learning and deep learning algorithms, cutting-edge face/human and image/video analytics technologies, and intelligent search and recommendation systems. The group delivered top performing systems in international benchmarking, such as ILSVRC2017 for image localization and MS-Celeb-1M for large-scale face recognition.


 

CHEONG Loong Fah

ASSOCIATE PROFESSOR

Biography

 Google Scholar

 E5-03-11

 +65 6516 2290

 Click here to Email

Structure from motion (SFM) problem, 3D motion segmentation, action recognition, scene understanding, model selection, tracking, change detection, optical flow.

FENG Jiashi

ASSISTANT PROFESSOR

Biography

 Google Scholar

 E4-05-34

 +65 6516 7839

 Click here to Email

High-dimensional and big data analysis, computer vision, and deep learning

Ashraf KASSIM

PROFESSOR
Vice Provost (Special Duties)

Biography

 Google Scholar

 E4-06-13

 +65 6516 2277

 Click here to Email

Computer vision, biomedical imaging and image & video processing

LI Haizhou

PROFESSOR
Area Director (System Analysis & Machine Intelligence)

Biography

 Google Scholar

 E4-04-18

 +65 6516 6473

 Click here to Email

Speech Information Processing, Natural Language Processing, Human-Robot Interaction

ONG Sim Heng

ASSOCIATE PROFESSOR

Biography

 Google Scholar

 E4-05-14

 +65 6516 2245

 Click here to Email

Computer vision Medical imaging Digital image processing

Robby Tantowi TAN

ASSISTANT PROFESSOR

Website

 Google Scholar

 RC3-02-04L

 +65 6601 5250

 Click here to Email

Computer Vision and Deep Learning

YAN Shuicheng

ASSOCIATE PROFESSOR

Biography

 Google Scholar

 E4-05-11

 +65 6516 2116

 Click here to Email

Computer Vision Machine Learning Information Retrieval and Data Mining Medical Image Analysis

YEN Shih Cheng

ASSISTANT PROFESSOR

Website

 Google Scholar

 E4-08-05

 +65 6516 2118

 Click here to Email

Neural Coding and Signal Processing, Computational Neuroscience, Biological Neural Networks, Statistical Analysis of Neuronal Data

YEO Boon Thye, Thomas

ASSISTANT PROFESSOR

Biography

 Google Scholar

 E2-03-26

 +65 6516 1110

 Click here to Email

Development of machine learning algorithms and statistical models for the large-scale analysis of high-dimensional brain imaging data

ZHOU Zhiying, Steven

ASSOCIATE PROFESSOR
Associate Director, NUS (Suzhou) Research Institute (NUSRI)

Biography

 Google Scholar

 E2-02-03

 +65 6516 3754

 Click here to Email

Computer and machine vision Mixed Reality / Augmented Reality Multimodal Human Computer Interface Computer-Human Interaction Interactive and digital media