We offer challenging degree programs at bachelors, Masters and Ph.D. level that offer high-quality teaching by outstanding and experienced faculty. Our programs prepare students for either continued graduate education or for careers in business, industry, or government. Further, our programs include a mix and balance of application-oriented course work and study of the underlying theory and principles. Finally, our programs are designed to educate students whose technical knowledge and skills will not become rapidly outdated upon leaving the University. Towards those ends, all faculty in the School are involved in undergraduate education, including teaching beginning courses.
The School of Computing and Information Sciences was formed in 1987 from the former Department of Mathematical Sciences. The mission of the School has several dimensions, consistent with the overall mission of the University and consistent with its role as part of the College of Engineering and Computing.
- High-Quality Undergraduate Program
- Graduate Degree Programs for MS and PhD
- Basic and Applied Research in CS
- Provide Course work & Support for Non-CS Students
- Respond to needs of local & regional industry/govt.
- Provide Technical expertise to entire University
Effective quality teaching is an essential part of the responsibilities of all faculty in the School, and special efforts are made to find ways of increasing that quality and effectiveness. Consistent with our status as part of the College of Engineering and Computing, the education of majors should not only include up-to-date technical material utilizing contemporary equipment but also should provide an opportunity for students to take advantage of their educational opportunities to become broadly educated as citizens and individuals. Consistent with the mission of the University, the School of Computing and Information Sciences offers its programs to full and part-time degree-seeking students and accommodates the special needs of mature students and lifelong learners.
Interim Director & Eminent Scholar Chaired Professor
Jason Liu is an Eminent Scholar Chaired Professor at the School of Computing and Information Sciences, Florida International University (FIU) in Miami, Florida, USA. Previously, he was a Research Scientist at Dartmouth ISTS in 2003, a Postdoctoral Researcher at University of Illinois, Urbana-Champaign during 2003-2004. He held a honorary position as Visiting Professor at Tsinghua University, China, and was a Visiting Scientist at Los Alamos National Laboratory (LANL) and Université Pierre et Marie Curie (UPMC)/Laboratory of Information, Networking and Communication Sciences (LINCS). Jason Liu received a B.S. degree from Beijing University of Technology in China in 1993, an M.S. degree from College of William and Mary in 2000, and a Ph.D. degree from Dartmouth College in 2003.
Jason Liu’s research focuses on modeling and simulation, parallel discrete-event simulation, performance modeling and simulation of computer systems and computer networks. He currently serves on the Editorial Board of ACM Transactions on Modeling and Computer Simulation (TOMACS), SIMULATION, Transactions of the Society for Modeling and Simulation International, and IEEE Networking Letters. He is also on the Steering Committee of ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (SIGSIM-PADS). He served as General Chair or Program Chair for several conferences in related areas. Jason Liu is an NSF CAREER awardee in 2006 and an ACM Distinguished Scientist in 2014. His research has been supported by various funding agencies, including NSF, DOE, DOD, DHS, and NIH.
Mark A. Finlayson
Associate Interim Director & Eminent Scholar Chaired Associate Professor
Dr. Mark A. Finlayson is an Eminent Scholar Chaired Associate Professor of Computer Science in the School of Computing and Information Sciences at Florida International University (FIU). He received his Ph.D. in Computer Science and Cognitive Science from MIT in 2012 under the supervision of Patrick H. Winston. He also received his M.S. from MIT in 2001 and his B.S. from the University of Michigan in 1998, both in Electrical Engineering. Before joining SCIS he was a Research Scientist in MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) for 2½ years. His research focuses on representing, extracting, and using higher-order semantic patterns in natural language, especially focusing on narrative. His work intersects artificial intelligence, computational linguistics, and cognitive science. He directs the Cognac Laboratory (The Cognition, Language, and Culture lab), whose members focus on investigating the science of narrative from a computational point of view. His research has been funded by the NSF, NIH, DARPA, OSD, ONR, DHS, and IBM. He was the recipient of an NSF CAREER Award in 2018 and an IBM Faculty Award in 2019. He was named Edison Fellow for Artificial Intelligence for 2019-2021 at the US Patent and Trademark Office (USPTO). He has received multiple teaching awards at FIU, plus an FIU faculty award for research and creative activities in 2019.