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Recognized by U.S. News & World Report as the country’s most innovative school, Arizona State University is where students and faculty work with NASA to develop, advance and lead innovations in space exploration.
This is where Nobel laureates and Pulitzer Prize winners teach master learners. This is where nationally ranked and internationally ranked programs prepare next-generation innovators to thrive while advancing pioneering research, strategic partnerships, entrepreneurship and economic development.
ASU’s nationally ranked programs inspire the top-qualified graduates and have positioned the university as a “top-tier” recruiting and hiring institution by more than 50 of the country’s top corporations, according to professional recruiters and rankings services around the world.
ASU graduates more than 20,000 thinkers, innovators and master learners every year.
In January of 2019, U.S. News & World Report ranked computer engineering as 34th, computer science as 43rd and industrial engineering as 18th in the nation. The combination of our award-winning faculty, interdisciplinary research and nationally recognized undergraduate and graduate programs has attracted top students from across the country. With more than 6,000 students enrolled, CIDSE is the largest and fastest growing unit in ASU’s Ira A. Fulton Schools of Engineering.
Dedicated to program inclusiveness
CIDSE is a leader in online education. Our school boasts the first four-year online engineering management program for undergraduates. We also recently launched an online master’s program in computer science, enabling thousands of students around the world access to this rigorous curriculum.
I’m proud of the work we’re doing to extend our reach to underrepresented communities through initiatives like Building, Recruiting, And Inclusion for Diversity, or BRAID — a national partnership of 15 universities across the U.S. helping increase the percentage of women and underrepresented minorities in undergraduate computing programs and subsequently increasing diversity in the computing talent pipeline.
I look forward to continuing the partnership between our faculty, students and staff to pave the way for future innovations in human-aware robotics, big data systems, intelligent manufacturing systems, cyber defense strategies, smart infrastructure and so much more.
I’m energized about the future direction of the School of Computing, Informatics, and Decision Systems Engineering and hope you’ll join me as we continue to push it to the next level.
Sandeep Gupta, PhD
School Director and Professor
School of Computing, Informatics, and Decision Systems Engineering
She received a BS and an MS degree for the Universidade Federal do Rio de Janeiro, Brazil, and a PhD degree from Carnegie Mellon University, USA. She joined Arizona State University (ASU) in 1998, where she is now a Full Professor of Computer Science and Engineering. She is also a Barrett Honors Faculty and is an Associate Faculty at the Biodesign Institute in the Center for Bio-computation, Security and Society. Her main areas of expertise are in distributed/network algorithms and computing in general, and more specifically in bio-inspired distributed algorithms, distributed load balancing, wireless network algorithms, delay-tolerant networks, and distributed hash tables (DHTs), among others. She was awarded a prestigious MURI award from the DoD-ARO in 2019, and was a recipient of an NSF CAREER Award in 1999.
Assistant Research Professor at School of Computing Informatics and Decision Systems Engineering, Arizona State University. His research interests include pervasive computing in healthcare and analysis, and safety verification of embedded system software. He is also interested in hybrid system based modeling and safety verification of closed loop control systems which interact with the physical environment, also known as Cyber-Physical Systems. In addition, he also works on explainable AI for failure analysis and feedback in human computer interface systems. He has worked in close collaboration with FDA and Mayo clinic on practical AI driven systems.
K. Selcuk Candan is a professor of computer science and engineering at Arizona State University and the director of ASU’s Center for Assured and Scalable Data Engineering (CASCADE). His primary research interest is in the area of management and analysis of non-traditional, heterogeneous, and imprecise (such as multimedia, web, and scientific) data. He has published over 170 journal and peer-reviewed conference articles, one book, and 16 book chapters. He has 9 patents. Professor Candan served as an associate editor for the Very Large Databases (VLDB) journal and IEEE Transactions on Multimedia. He is currently in the editorial boards of the ACM Transactions on Database Systems, IEEE Transactions on Knowledge and Data Engineering, and IEEE Transactions on Cloud Computing.
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