Machine Learning
Machine learning plays a central role in building intelligent computing, control and communications systems. Typical applications include computer vision, natural language processing, signal processing, internet of things (IoT), cybersecurity, and robotics. Members of the ECE Department actively engage in the research and development of machine learning algorithms to support an array of electrical engineering applications.
Ziming Zhang
Assistant Professor
Vision, Intellegience, and System Lab (VISLab)
The aim of the lab is to engage in the state-of-the-art research into the mathematical foundation of computer vision (CV) and artificial Intelligence (AI), as well as the hardware design and engineering that meets the needs of society. The works from the lab have been published in top conferences (e.g. CVPR, ICCV, NeurIPS, ICLR, IROS, CDC) and top journals (e.g. TPAMI).
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Xinming Huang
Professor
Embedded Computing Lab
Our research group is focused on the computer vision and deep learning algorithms, efficient hardware architecture designs, and their applications to autonomous driving, robotics, and embedded systems. Our research works have been published regularly in top venues such as CVPR, ICCV, ICRA, IROS, RAL, TPAMI, TNNLS, TMM, TCAS1, etc. Our mission is to build integrate circuits for artificial intelligence.
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Donald R. Brown
Professor
Signal Processing and Information Networking (spinlab)
The signal processing and information networking laboratory (spinlab) was founded in 2002 by Prof. D. Richard Brown III with the purpose of bringing motivated undergraduate and graduate students together to work on fundamental and applied problems in signal processing, communication systems, networking, and machine learning. Spinlab is located on the third floor of the Atwater Kent Laboratories building at Worcester Polytechnic Institute
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Bringing Awareness through Systems for Humans (BASH) Lab
The Bringing Awareness through Systems for Humans Lab (BASH Lab) focuses on understanding and enhancing the usability, intelligence, and processing capabilities of tiny low-power edge computing devices to realize their full potential in our daily lives.
We aim to develop a new set of artificially intelligent edge computers that provide sustainable and scalable sensing solutions in various application domains ranging from health wearable to environment monitoring.
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Wireless Innovation Lab
The Wireless Innovation Laboratory (WILab) conducts fundamental and applied research in wireless communication systems engineering and vehicular technology. Consisting of over 1500 sq ft of prime research space as well as state-of-the-art software tool and experimentation equipment, this facility focuses on devising new solutions and new knowledge in the areas of cognitive radio, 5G/6G, connected vehicles, software-defined radio, autonomous vehicles, spectrum coexistence, vehicular security, prototype wireless systems, satellite communications, millimeter wave communications, and GPS/GNSS. WILab has been extensively funded via numerous sponsors from both government and industry, including the National Science Foundation, MathWorks, Office of Naval Research, Toyota InfoTechnology Center USA, and the MITRE Corporation.
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Bo Tang
Associate Professor
Computational Intelligence and Learning Systems (CILS) Lab
The Computational Intelligence and Learning Systems (CILS) Lab conducts research in bio-inspired artificial intelligence (AI), AI security, edge AI, and their applications in Cyber-Physical Systems (e.g., wireless networks, autonomous vehicles (underwater/ground), and power systems). Our works have been published in top-tier conferences and journals such as ICML, IEEE Trans. on Neural Networks and Learning Systems (TNNLS), IEEE Trans. on Cybernetics, IEEE Wireless Communication Magazine, etc.
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