Welcome to the Department of Computer Science and Engineering

Yunhao Liu Today computer science and engineering emphasizes activities that span many disciplines. Our faculty are international leaders in applying computational approaches to solve significant problems across the disciplines. They are working on educational, research, and service activities in a wide variety of areas.

You will find faculty working on AI, data mining, big data, internet of things, biological computing, telemedicine, and computational approaches for law enforcement, biometrics, and security. Faculty are developing sensor networking for effective environmental monitoring. Computational approaches in the humanities and social sciences are being developed. Our faculty are engaged in projects to transform computing education for science and engineering students. The department is involved in outreach to high school students in the formation of the Info Tech Empowerment Center in Lansing. The breadth of engagement across the disciplines is amazing.

Likewise, our alumni are developing innovative technologies and methods for applying computational approaches to multidisciplinary problems. We are proud of our alumni accomplishments. As a faculty, we are excited about the acceleration of innovation that will be part of our students’ future careers. We are determined to provide the educational programs to prepare them for these opportunities.

It is a privilege for me to take Professor Mutka's place as chairperson of the department. We are indebted to him for a decade of excellent service and leadership. I thank our alumni and friends for their support and look forward to hearing from many of you in the coming year.

— Yunhao Liu, Chairperson designee

Highlights RSS

University Distinguished Professor Anil Jain is quoted in Consumer Reports – Do Tech Companies Watch Your Home Security Camera Footage? 

Michigan AI Symposium poster awarded to Dr. Parisa Kordjamshidi, Quan Guo and Yue Zhang

"Face Phylogeny Tree: Deducing Relationships Between Near-Duplicate Face Images Using Legendre Polynomials and Radial Basis Functions" receives the Best Paper Award at BTAS 2019

Arun Ross has been awarded a grant from NSF titled "Collaborative Research: Converging Genomics, Phenomics, and Environments Using Interpretable Machine Learning Models".

Kennie Merz, Professor of Chemistry, and H. Metin Aktulga, Assistant Professor of Computer Science and Engineering, have been awarded an NIH grant ($1.3M) titled "Modeling Transition Metal Ion Binding to Proteins"