Home > Research > DS Group > Laboratories


Leader
Professor Hung-Yu Wei
Room No.
EE-355
Website
Introduction
As wireless communication technology shows enormous potential to affect the way people communicate, we dedicate ourselves to studying and developing communication technology to make communication more convenient and accessible. The Wireless Mobile Network Lab is led by Professor Hung-Yu Wei, involving 6 PhD, 12 MS researchers and 1 administrative assistant, collaboratively pursuing the cutting-edge communication technologies. Our research areas mainly focus on wireless communication, mobile networking, edge/fog computing, and game theoretic models for networking services. We are specialize in
1. 5G/5G+ wireless
2. Multimedia streaming and VoIP over wireless networks
3. IoT (industrial IoT, V2X, smart grid)
4. Edge/Fog computing
5. 5G Security
6. Machine learning for wireless and IoT systems
7. Game theory models for communications and networking
8. 3GPP and IEEE Standards

Leader
Assistant Professor Chun-Lin Liu
Room No.
EE-530
Website

Introduction
1. Digital Signal Processing
2. Digital Image Processing
3. Multimedia Signal Processing

Leader
Professor Lin-Shan Lee
Room No.
EE-531
Website
Introduction
1. Core technologies for speech recognition:
New features for speech signals, new models and new frameworks for speech recognition, handling noise and channel effect, improved acoustic modeling and adaptation, improved language modeling and adaptation, spontaneous speech processing, Mandarin-English bilingual speech processing, prosody and tone modeling, etc.

2. Intelligent applications of speech recognition vender network environment:
Speech understanding, spoken dialog modeling and systems, semantic analysis, voice-based information retrieval, speech information summarization and distillation, spoken document understanding and organization, spoken key term extraction, speech synthesis, distributed speech processing technologies, etc.

Leader
Professor Hsuan-Jung Su
Room No.
EE-532
Website

Introduction
Advancement of Communication Theory, Information Theory, Signal Processing Technologies, and their applications.

Leader
Associate Professor Chun-Ting Chou
Room No.
EE-550
Website
Introduction
For more information, please see the website.

Leader
Professor Zsehong Tsai
Room No.
EE-554
Website

Introduction
Architecture Enhancement and Performance Improvement of the Next Generation Broadband Communication Network.

Leader
Professor Homer H. Chen
Room No.
BL-505
Website
Introduction
The mission of our lab is to develop cutting-edge technology for real-world problems and to give students world-class training in research. Our research projects are related to computational photography and display, big data, music recommendation, and content delivery. The foundation of our technology development includes machine learning, vision science, image processing, audio processing, data science, affective computing, and communication networks.

Leader
Professor Tsung-Nan Lin
Room No.
BL-507
Website
Introduction
1. Wireless Communications
2. Wireless Networks
3. Cooperative Communications
4. Indoor Localization

Leader
Associate Professor Hung-Yi Lee
Room No.
BL-508
Website
Introduction
Deep Learning, Machine Learning, Spoken Language Understanding, Speech Recognition

Leader
Professor Shyh-Kang Jeng
Room No.
BL-510
Website

Introduction
Apply results of cognitive science areas like cognitive neuroscience and cognitive psychology to robotics. The goal is to develop an elder-accompany robot and to model human neural systems related dementia.

Leader
Professor Ping-Cheng Yeh
Room No.
BL-515
Website
Introduction
1. PHY of Wireless Communications
2. Cooperative Communications
3. Wireless Multimedia Transmissions
4. PHY Security of Wireless Communications

Leader
Professor Hung-Yun Hsieh
Room No.
BL-521
Website
Introduction
The TONIC Research Group encompasses students with research interests on mobile networking and wireless communications. Ongoing research endeavors include machine-to-machine (M2M) communications, cognitive radio (CR) networks, and next-generation mobile communications technologies.

Leader
Associate Professor I-Hsiang Wang
Room No.
BL-524
Website
Introduction
Our group is focused on fundamental research on networked information and large-scale data, including communications, compression, and computation. Areas of our major interest are information theory, coding theory, and networked information processing.

In particular, we are interested in the following subjects:
1. Interference management in next-generation wireless networks
2. Internet of Things
3. Content delivery networks
4. Data privacy

Networked information processing in social networks.

Leader
Professor Yu-Chiang Frank Wang
Room No.
BL-527
Website
Introduction
The Vision and Learning Lab, founded in Sept. 2009, is under the direction of Dr. Y.-C. Frank Wang. VLL is dedicated to research topics of pattern recognition, machine learning, computer vision, and multimedia content analysis.

Leader
Assistant Professor Pei-Yuan Wu
Room No.
BL-530
Website

Introduction
Privacy preserving machine learning, Scene text recognition, Deep learning and adversarial examples, Deep learning for image dehazing, Unsupervised?disentangled representations learning, Sample complexity in deep learning.

Leader
Professor Polly Huang
Room No.
BL-621
Website
Introduction
The Network and System Laboratory pursues research towards building robust and scalable communication systems. We dedicate our effort to the design, modeling, simulation, and performance issues of such networked systems. The members of nslab have worked on a wide range of research topics, including multicast routing, network QoS, Internet traffic dynamics, network simulations, Internet topology analysis, and wearable computing. Much of our recent effort concentrates on the following problem domains:

1. Internet Characterization: modeling and simulation of the Internet.
2. Sensor Network: communication of sensor-enriched miniature devices for easy mobile lifestyle.
3. Peer-to-peer Multimedia Network: delivering quality multimedia data over the Internet.

Leader
Associate Professor Che Lin
Room No.
MD-504
Website
Introduction
Our lab conducts research in the areas of Deep Learning, Data Science, Signal Processing in Wireless Communications, Computational Biology, FinTech, and Optimization Theory. Specifically, our research focuses on the following topics:
1. Next-generation algorithm design for wireless communications systems:
We integrate reinforcement learning and convex optimization to address resource allocation problems in next-generation mobile edge computing.
2. Computational biology and deep learning:
Via Integrating deep learning and systems biology approaches, we are able to identify underlying interacting mechanisms in complex biological systems and make precise predictions of cancer prognosis and complication risks for chronical disease.
3. Big data analysis for FinTech:
We collaborate with many start-up companies and design specific data-mining goals based on their business goals. We then develop deep learning engines to produce customer-centric precision marketing.
Our lab collaborates with many academic/health institutes (including SUTD, Academia Sinica, NTUH, NHRI, NTHU, etc.) and start-up companies (e.g., AsiaYo, Likr, and INSTO) to foster interdisciplinary research that makes real impact for health institutes and industries.

Leader
Professor Jian-Jiun Ding
Room No.
MD-531
Website
Introduction
Digital signal processing, digital image processing, time-frequency analysis, wavelet transform, music signal processing