Thank you for visiting the Department of Computer Science and Engineering web site. We hope that you will find the information you are searching for here, but if not, please feel free to contact me and we will try to satisfy your questions. We are a highly interactive, research intensive department that cares deeply about its students and their future. Our faculty are experts in their fields of study and many are nationally known for their contributions within the scientific community. This active research engagement results in cutting edge instruction for our students who are highly sought after by employers following graduation.
Our department offers undergraduate degrees in both Computer Science and Software Engineering. At the graduate level, we offer Master of Science and Doctor of Philosophy degree programs in computer science. More information on all these degree programs, research opportunities, and requirements can be found by accessing the Academics link above. Prospective students will find useful information about our university's cooperative education program (one of the nation's best), scholarships and fellowships, and admission procedures by clicking on the Prospective Students link. Contact information is available on our site for those of you who seek additional information.
I would invite you to browse the Research link above too. While our research efforts are generally described as the areas of Artificial Intelligence, Computer Security and Forensics, High Performance Computing, Software Engineering, and Visualization and Computer Graphics – you will find that the application of the research efforts are exciting and are contributing to society in many unique ways. Our faculty and students often participate in research centers on campus that are applying scientific discovery to real world problem solving.
Our faculty and students work together in an environment that fosters teamwork and leadership as well as a caring attitude toward our students. We offer state-of-the-art facilities in which our students learn and conduct research in such exciting application areas as computational biology, computer security, digital forensics, intelligent systems, parallel computing, and augmented reality. We invite you to contact us and to surf our site to learn more about our academic and research programs.
Professor and Department Head
May 13, 2013:
CSE Paper Accepted to ITBAM 2013
The following paper has been accepted to the 4th International Conference on Information Technology in Bio- and Medical Informatics - ITBAM 2013 to be held in Prague, Czech Republic, August 26 - 30, 2013:
Nitin Sukhija, Arun K. Datta “C-Grid: Enabling iRODS-based Grid Technology for Community Health Research.”
Nitin Sukhija is a PhD student in Computer Science Department working with Dr. Ioana Banicescu. Dr. Arun K. Datta is Director of Technology R & D at the NU Community Research Institute (NUCRI) and Senior Faculty Associate (SOET, SOHHS) at National University, San Diego.
May 13, 2013:
CSE Student wins Best Student Paper Award at SPIE XXIII 2013
Ankit Arya was awarded the Best Student Paper Award in the Automatic Target Recognition track at SPIE XXIII 2013 held in Baltimore, MD for the paper titled "Multi-Kernel Aggregation of Local and Global Features in Long Wave Infrared for Detection of SWAT Teams in Challenging Environments," authored by Ankit Arya, Derek Anderson, Cindy L. Bethel, and Daniel Carruth. This award was sponsored by the Lockheed Martin Corporation.
Ankit Arya is an undergraduate student in Computer Science and Engineering and was recently awarded the Undergraduate Student Research Award presented by the MSU Office of Research and Economic Development. He has been mentored by Cindy L. Bethel, Assistant Professor in Computer Science and Engineering and Director of the Social, Therapeutic, and Robotics Systems (STaRS) lab, and by Derek Anderson, Assistant Professor in Electrical and Computer Engineering. Daniel Carruth is the Associate Director of the Human Performance Group at CAVS.
May 13, 2013:
CSE Papers Accepted by UAI 2013
The following papers have been accepted by the 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013).
Arindam Khaled, Changhe Yuan, Eric Hansen. "Solving Limited-Memory Influence Diagrams Using Branch-and-Bound Search".
Brandon Malone, Changhe Yuan. "Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks".
Arindam Khaled is a PhD student in Department of Computer Science and Engineering at MSU, and is being advised by Changhe Yuan, associate professor of Computer Science at Queens College/City University of New York. Eric Hansen is an associate professor of Computer Science and Engineering at MSU. Brandon Malone was a PhD student at MSU and is now a postdoc associate at University of Helsinki.