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.

Banzhaf Lab

Banzhaf Lab

3112 Engineering Building
Faculty: Dr. Wolfgang Banzhaf

Biometric Research

BIOMETRICS- Biometrics Research Group

3208 Engineering Building
Faculty: Dr. Anil Jain

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

Computer Vision Lab

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.

DEVO Lab

Devo - Digital Evolution Laboratory

Faculty: Drs. Betty Cheng, Philip McKinley, Charles Ofria, Pennock, Eric Torng

Data Science and Engineering Laboratory

Data Science and Engineering Laboratory

Faculty: Dr. Jiliang Tang

deeptech

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.

eLANS

eLANS - Experimental Laboratory for Advanced Networking and Systems

Faculty: Drs. Abdol Esfahanian, Matt Mutka, Eric Torng, Li Xiao, Huacheng Zeng

hal

HAL - Human Analysis Lab

Faculty: Dr. Vishnu Boddeti

HAAIL

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.

HLR Lab

HLR Lab - Heterogeneous Learning and Reasoning Lab

Faculty: Dr. Parisa Kordjamshidi

ILLIDAN Lab

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.

i-PRoBE

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.

liu lab

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.

Media and Entertainment Technologies

MET - Media and Entertainment Technologies Laboratory

Faculty: Dr. Charles Owen

SParTA Lab (Scalable Parallel Technologies and Algorithms Lab)

SParTA Lab - Scalable Parallel Technologies and Algorithms Lab

Faculty: Dr. H. Metin Aktulga

Security Research Group

SRG - Security Research Group

Faculty: Dr. Rich Enbody

SEcure and Intelligent Things Lab

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.

SNMS Lab: Security, Networking and Mobile Systems Research Laboratory

SNMS Lab: Security, Networking and Mobile Systems Research Laboratory

3312 Engineering Building
Faculty: Dr. Guan-Hua Tu

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.

Software Engineering and Network Systems

SENS - Software Engineering and Network Systems Laboratory

3312 Engineering Building
Faculty: Drs. Betty Cheng, Laura Dillon, Sandeep Kulkarni, Philip McKinley

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.