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


 

Speech and
Language


Human Language Technology laboratory is dedicated to the research of scientific fundamentals for signal processing of audio, speech, language, and their applications. The research includes analysis, synthesis, enhancement, transformation, classification and interpretation of audio, speech and language information, as well as the design, development, and evaluation of associated signal processing systems. We advance the machine learning and artificial intelligence algorithms to solve engineering problems in audio, speech and language processing.

Computational and Cognitive Neuroscience


The computational and cognitive neuroscience subgroup 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/Data analytics and Machine Learning


Since its birth, the LV group has been concentrating on going beyond known boundaries and encouraging most original research and technologies at the edges for computer vision, machine learning and their applications in real life. The research projects of LV range from fundamental machine learning (including deep learning) methods, to the cutting-edge face/human and image/video analytics techniques, to intelligent search and recommendation systems.


 

CHEONG Loong Fah

ASSOCIATE PROFESSOR

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 E5-03-11

 +65 6516 2290

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

FENG Jiashi

ASSISTANT PROFESSOR

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 E4-05-34

 +65 6516 7839

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

Ashraf KASSIM

PROFESSOR
Vice Provost (Special Duties)

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 E4-06-13

 +65 6516 2277

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Computer vision, biomedical imaging and image & video processing

LI Haizhou

PROFESSOR
Area Director (System Analysis & Machine Intelligence)

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 E4-04-18

 +65 6516 6473

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

ONG Sim Heng

ASSOCIATE PROFESSOR

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 E4-05-14

 +65 6516 2245

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Computer vision Medical imaging Digital image processing

Robby Tantowi TAN

ASSISTANT PROFESSOR

Website

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 RC3-02-04L

 +65 6601 5250

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Computer Vision and Deep Learning

YAN Shuicheng

ASSOCIATE PROFESSOR

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 E4-05-11

 +65 6516 2116

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

YEN Shih Cheng

ASSISTANT PROFESSOR

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 E4-08-05

 +65 6516 2118

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

YEO Boon Thye, Thomas

ASSISTANT PROFESSOR

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 E2-03-26

 +65 6516 1110

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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)

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 E2-02-03

 +65 6516 3754

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