Overview
Michigan State University has been advancing knowledge and transforming lives through innovative teaching, research and outreach for more than 150 years. MSU is known internationally as a major public university with global reach and extraordinary impact. As part of the MSU tradition, our graduate research program emphasizes interdisciplinary collaboration and scholarship that transcends the traditional boundaries of the field. CSE is composed of over 150 MS and PhD students from around the globe.
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3112 Engineering Building |
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BIOMETRICS- Biometrics Research Group
3208 Engineering Building The Biometrics Research Group works on problems at the intersection of computer vision and pattern recognition, with a particular focus on face and fingerprint recognition applications |
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CvLab - Computer Vision Laboratory Faculty: Dr. Xiaoming Liu Develop machine learning/deep learning based algorithms to understand or extract knowledge from visual data, including image, video, 3D points, LiDAR, Radar, etc. |
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Devo - Digital Evolution Laboratory Faculty: Drs. Betty Cheng, Philip McKinley, Charles Ofria, Pennock, Eric Torng |
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Data Science and Engineering Laboratory Faculty: Dr. Jiliang Tang |
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DeepTech - The Deep Technology Lab Faculty: Dr. Josh Siegel The DeepTech Lab works across disciplines to create applied technology solutions to meaningful and significant problems that would’ve been impossible yesterday, that are barely feasible today, and that tomorrow have the potential to invisibly change the world. |
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DMiner - Data Mining and Knowledge Discovery Faculty: Dr. Pang-Ning Tan The DMiner research lab focuses on the development of novel data mining and machine learning algorithms for various types of data, including spatio-temporal, sequential, and network/graph data. |
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eLANS - Experimental Laboratory for Advanced Networking and Systems Faculty: Drs. Abdol Esfahanian, Matt Mutka, Eric Torng, Li Xiao, Huacheng Zeng |
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HAL - Human Analysis Lab Faculty: Dr. Vishnu Boddeti |
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HAAIL - Human Augmentation and Artificial Intelligence Laboratory Faculty: Dr. Mohammad Ghassemi We develops tools and systems that combine human and machine intelligence to solve problems that neither humans nor machines can solve as effectively alone. |
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HLR Lab - Heterogeneous Learning and Reasoning Lab Faculty: Dr. Parisa Kordjamshidi |
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ILLIDAN Lab - Intelligent Data Analytics Lab Faculty: Dr. Jiayu Zhou The Intelligent Data Analytics (ILLIDAN) Lab designs scalable machine learning algorithms, creates open source machine learning software, and develops powerful machine learning for applications in health informatics, big traffic analytics, and other scientific areas. |
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i-PRoBE - Integrated Pattern Recognition and Biometrics Lab Faculty: Dr. Arun Ross We conduct research on the topic of biometrics, privacy, machine learning and computer vision. |
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Liu Lab - Genomic Analysis Faculty: Dr. Kevin Liu Our lab creates new computational methodologies for efficient and accurate comparative genomic analyses – especially in the context of complex evolutionary scenarios – and then connects the resulting insights to phenotype and function; the end goal of our big-data-driven approach is to generate hypotheses that result in new biological and biomedical discoveries. |
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MET - Media and Entertainment Technologies Laboratory Faculty: Dr. Charles Owen |
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SParTA Lab - Scalable Parallel Technologies and Algorithms Lab Faculty: Dr. H. Metin Aktulga |
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SRG - Security Research Group Faculty: Dr. Rich Enbody |
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SEIT Lab- SEcure and Intelligent Things Lab Faculty: Dr. Qiben Yan SEIT Lab develops and integrates Secure and Intelligent Things in human lives to enrich living experience and foster creative connections for a better world. |
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SNMS Lab: Security, Networking and Mobile Systems Research Laboratory
3312 Engineering Building The SNMS research group conducts advanced research in the broad areas of security, IoT, mobile systems, and wireless networking, with a recent focus on innovating 5G/4G mobile network architecture/protocol/technologies, cellular/Wi-Fi IoT, secure cloud computing/services, blockchain technologies. |
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SENS - Software Engineering and Network Systems Laboratory
3312 Engineering Building |
Interdisciplinary Programs
Computer Science and Engineering participates in many interdisciplinary programs on campus. Our faculty and students are excited by the opportunities to influence the direction of both computer science and other disciplines.
- Cognitive Science specialization
- Quantitative Biology Initiative dual major PhD programs
- Ecology, Evolutionary Behavior, and Biology
- Serious Game Design certificate and MA program
