EDUCATION INDUSTRY ALUMNI GIVING

CURRICULUM

The CS&E department offers a broad undergraduate and graduate curriculum based on the theory and methods of computer science and engineering and on their applications to real world problems.

Students are offered instruction through labs, lectures, seminars, colloquia, and hands-on research by internationally renowned faculty who are active in research in many areas of computer science and engineering.

Bachelor’s degrees and undergraduate minors are offered through the College of Science and Engineering and the College of Liberal Arts. Nearly 1000 undergraduate students pursue a major in computer science, while many others minor in it. In addition, a computer engineering major is offered through a partnership with the Department of Electrical and Computer Engineering. Undergraduates have the opportunity to work closely with faculty through the Undergraduate Research Opportunities Program and through the selective Honors Program.

The graduate program offers the degrees of Master of Science (M.S.) and Doctor of Philosophy (Ph.D.) in Computer Science, Master of Computer Science (M.C.S.), Master of Science in Software Engineering (M.S.S.E.), and a Master of Science in Data Science (M.S.D.S.). More than 500 graduate students pursue their graduate degrees taking a variety of courses and carrying out original research under the supervision of the faculty. Interdisciplinary programs of research are particularly encouraged.

Beyond the classroom, CS&E students gain valuable experience by participating in academic research and through internships with local and national high-tech companies.

WORKING TOGETHER

Partnerships with industry are mutually beneficial, as they allow for research collaborations with CS&E faculty and also help students develop a professional network prior to graduation.

Examples of industry collaborations include joint research projects with CS&E faculty funded by federal agencies, grants, internships, scholarships and fellowships for undergraduate and graduate students.

Faculty are involved in large interdisciplinary research grants with the Digital Technology Center (DTC). Faculty are also actively involved in the Center for Research in Intelligent Storage (CRIS) and the Safety, Security, Rescue Research Center (SSR-RC), which are both sponsored by the NSF. In addition, faculty regulary engage with community through academic outreach programs.

The department also works to strengthen ties to industry through the Master of Science in Software Engineering (M.S.S.E.) program, a program designed specifically for working software professionals.

Other outreach efforts include the department’s Open House held every other fall and Code Freeze, a winter symposium on software development. CS&E is also a co-sponsor of the Twin Cities Software Process Improvement Network (Twin-SPIN), which is a forum for the free and open exchange of software process improvement experiences and ideas that brings together industry, government, academia, and other professional organizations.

Additionally, the department has an advisory council consisting of local industry representatives, the Industry Affiliates Council (IAC), which is chartered to promote greater interaction between CS&E and our industry affiliates. The IAC meets regularly each year, providing a forum to hear industry trends and to explore the opportunities that grow out of the department’s education and research activities. Council members are actively involved in promoting Computer Science through efforts to broaden the field, reaching out to underrepresented groups, and advancing the economic impact of the Department’s education and research by identifying ways of integrating them with the local industry.

To learn how your company can become more involved in the CS&E department please visit cs.umn.edu/community/iac or send an e-mail to industry_relations@cs.umn.edu.

SUPPORTING INNOVATION

The Computer Science and Engineering department’s tradition of excellence continues to flourish.

Crucial to the success of the department is the strong support that it receives from private gifts.

Gifts come to the department in a many forms: bequests, cash gifts, securities, and gift annuities—just to name a few. Each gift allows the department to improve and expand educational programs, provide financial assistance to deserving students, enhance facilities, and attract and retain exceptional faculty.

We would like to thank all of the CS&E donors. The department could not continue to pursue innovative research and eduction without the support you provide to our mission and the work of our students and faculty.

As the department moves forward, the support of our alumni and friends is needed more than ever. As the boundaries of knowledge continually change, your support will keep the CS&E Department at the forefront of technological research in the field of computer science and engineering.

We would be happy to discuss giving opportunities that will match your interests. For more information, please contact:

Brenna SonkeExternal Relations OfficerCollege of Science and Engineering(612) 626-6874sonke@umn.edu

CSE ALUMNI SOCIETY

Members of the College of Science and Engineering (CSE) Alumni Society have an opportunity to network with other alumni and enjoy discounts and other perks.

The CSE Alumni Society has 7,000 members worldwide and is one of the largest University of Minnesota alumni societies. In 2009, it was named “Alumni Society of the Year” by the University of Minnesota in recognition of the impact and reach of our alumni programs.

Membership to the CSE Alumni Society is free when you join the University Alumni Association as long as you indicate that you graduated from the College of Science and Engineering. New graduates get a free one-year membership in the University Alumni Association.

The CSE Alumni Society helps organize and fund programs that:• Engage alumni with the college.• Strengthen industry partnerships.• Mentor students.• Honor faculty, alumni, and researchers.• Support K-12 outreach.• Advocate for the college and University.

The college welcomes the participation of alumni in programs whether or not they are members of the Alumni Society—though membership goes a long ways in supporting the college and Alumni Society activities.

For more information about the CSE Alumni Society, visit

cse.umn.edu/r/cse-alumni-society/

The University of Minnesota is an equal opportunity educator and employer. This publication is available in alternate formats upon request; call the Communications Coordinator at 612-301-9515. For disability accommodations, call 612-626-1333.

© 2016 by the Regents of the University of Minnesota. All rights reserved.

DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING4-192 Keller HallMinneapolis, MN 55455Phone: 612-625-4002www.cs.umn.edu

DEPARTMENT HEADMats Heimdahl612-625-0726, head@cs.umn.edu

ASSOCIATE DEPARTMENT HEADGeorge Karypis612-625-8144, karypis@cs.umn.edu

GRADUATE STUDIES612-625-1592, dgs@cs.umn.edu

MASTER OF SCIENCE IN SOFTWARE ENGINEERING612-625-1381, msse@cs.umn.edu

UNDERGRADUATE STUDIES612-625-4002, advisor@cs.umn.edu

CONTACT US DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

RESEARCH AREASARCHITECTURES, COMPILER OPTIMIZATION, & EMBEDDED SYSTEMSP. Yew, A. Zhai

Computer architecture and compiler research targets future generations of low-power multicore systems for data-intensive and high-performance computations. We focus on architectural and compiler support for speculative thread execution, high-performance memory systems, system virtualization for cloud computing, and on supporting domain experts to create applications for future exascale computers.

BIOINFORMATICS & COMPUTATIONAL BIOLOGY D. Boley, J. Carlis, R. Janardan, G. Karypis, D. Knights, R. Kuang, V. Kumar, C. Myers

In bioinformatics and computational biology research, we focus on building predictive models for effective disease diagnoses, algorithms for sequence and structure analysis, protein structure and function prediction, virtual screening and lead discovery, data modeling, database and proteomics analyses, analysis and inference of genetic and protein-protein interaction networks, and the development of methods that bring precision medicine to the microbiome. We have a growing collaboration with the University’s College of Biological Sciences, Medical School, and Mayo Clinic.

DATA MINING, DATABASES & GEOGRAPHICAL INFORMATION SYSTEMSA. Banerjee, D. Boley, J. Carlis, B. Hecht, G. Karypis, V. Kumar, M. Mokbel, S. Shekhar, J. SrivastavaWe focus on developing novel algorithms for anomaly and pattern detection, predictive modeling, query processing, and spatial data analysis. Our research is conducted in the context of a variety of domains, such as: bioinformatics, life sciences, cyber security, e-commerce, social networks, education, healthcare, global climate, data analysis, sensor networks, transportation, and the Web. Our group has extensive connections with industry and national labs, providing a rich source of problems, data sets, and experience for students.

SPONSORSFederal and State sponsors include: ARDA, ARL, ARO, AFOSR, DARPA, DHS, DOD, DOE, INEEL, JPL, LANL, LLNL, MN Department of Revenue, MN DoT, NASA Ames Research Center, NASA IV&I Facility, NASA Langley Research Center, National Geospatial-Intelligence Agency and Topographic Engineering Center, NIH, NIST, NOAA, NSF, ONR, ORNL, Rome Labs, United States Army, U.S. DOT.Industrial sponsors include: AT&T, Architecture Technology Corp., Benjamin Moore, Boston Scientific, Cisco, DuPont, Esri, ETRI (Korea), Ford Motor Company, Hewlett Packard, Honeywell, IBM, Industrial Technology Research Institute (Taiwan), Intel, LSI Logic Corp., Medtronic, Microsoft, Narus Inc., National Sea Rescue Institute (Korea), Ned Levine and Associates, Orbital ATK, PaR Systems, Rockwell Collins Inc., PayPal, Samsung, Sprint, StorageTek, Sun Microsystems, Symantec, Thomson Reuters, Titan Corporation, Unilever, Unisys, United Technologies.

ABOUT THE DEPARTMENT

As the head of Computer Science and Engineering (CS&E) at the University of Minnesota, I would like to extend my warmest welcome to our department. I am sure you are aware of the ubiquitous presence of computing in everyday life; a development that has led to an unprecedented growth in the number of students joining our programs as well as leading to new and exciting interdisciplinary research opportunities for our faculty and students.

CS&E has 42 faculty members and nine instructors that provide leadership and expertise to our over 1,300 undergraduate and nearly 500 graduate students. Our faculty members are highly productive educators and researchers; they are international leaders in their respective fields and authors of widely used software and textbooks. The distinction of our faculty is confirmed by their long list of awards and honors in teaching and research. We are proud to be one of a select few computer science departments nationwide with multiple recipients of the Presidential Early Career Award for Scientists and Engineers (PECASE) and 23 CAREER Award winners.

To prepare the future leaders in this exciting industry, I am proud to lead a department that offers B.S. and B.A. degree programs in Computer Science; an ABET accredited B.S. program in Computer Engineering (offered jointly with Electrical and Computer Engineering); M.S. programs in Computer Science and Software Engineering; an M.S. program in Data Science (offered cooperatively with Electrical and Computer Engineering, the School of Statistics, and the Division of Biostatistics); and a Ph.D. program in Computer Science. We provide our students with a broad undergraduate and graduate curriculum based on the application and theoretical foundations of computer science. Each year, the University awards over 250 bachelors, 100 masters, and 25 doctoral degrees to CS&E

students. Our faculty and students participate in interdisciplinary research with groups like the Institute for Health Informatics, the Minnesota Population Center, and the Biomedical Informatics and Computational Biology program. We have also played a leadership role in the formation of several industrial consortia such as the Center for Research in Intelligent Storage (CRIS) and the Safety, Security, Rescue Research Center (SSR-RC). Additionally, CS&E receives generous support from the local industry through our Industry Affiliates Council (IAC), a group of industry representatives working with the department to enhance our educational, research, and student placement efforts.

The amalgamation of these elements makes CS&E an incredibly exciting environment in which to study and work; an environment that serves us well in our goal of providing excellence in undergraduate and graduate education, research, and discovery.

There are many ways you can be part of, and contribute to, our department: come visit and explore what we can offer you as a prospective student; collaborate with us to help provide talented students for your enterprise; keep us posted of your accomplishments as an alumnus; explore collaborations either in research or education; and bring any new initiatives you may have in mind to our attention. I am always willing to have a discussion on any issues related to the development of our department. Please reach out to learn more about CS&E and ways to get involved.

Sincerely,

Mats HeimdahlProfessor and Department Head

GRAPHICS & VISUALIZATIONS. Guy, V. Interrante, D. Keefe, G. Meyer, R. Narain

Our Graphics and Visualization group conducts research across the broad areas of: computer graphics, gaming, and animation; data and information visualization; 3D user interaction; and virtual/augmented reality. The specific research topics we pursue include: crowd modeling; physics-based animation; color appearance, color synthesis, and color reproduction techniques; spatial perception and self-representation in immersive virtual environments; scientific visualization; and spatial/tangible user interfaces. Application areas include: 3-D medical imaging, the design of medical devices, architectural design, automotive design, gaming, and robotics.

HIGH PERFORMANCE COMPUTING D. Boley, G. Karypis, V. Kumar, Y. Saad, J. Weissman

The research areas we pursue in high-performance computing include: grid computing, parallel algorithm design, performance analysis, algorithms and runtime systems for Big Data computations, and sparse matrix algorithms for large-scale scientific and engineering simulations. The software libraries we have developed are used extensively world-wide in industry, academia and research labs.

HUMAN COMPUTER INTERACTION (HCI)B. Hecht, J. Konstan, L. Terveen, S. Yarosh, H. Zhu

The HCI group specializes in collaborative and social systems—computing systems that help people interact and work together. We explore the way computer tools enhance collective intelligence in groups as small as two users to as large as all of Wikipedia. We draw upon and conduct studies of individual and collective behavior to guide the creation of novel algorithms, interaction techniques, and user experiences. Our current projects include personalized recommendation systems, online systems for producing community artifacts, knowledge-sharing systems for local communities, novel software and hardware systems to support social ties, and, through collaborations with many other disciplines, systems that help meet pressing challenges in public health, bioscience, the geospatial sciences, management science, sharing economies and other areas.

NETWORKS, DISTRIBUTED SYSTEMS, SECURITY & CLOUD COMPUTING A. Chandra, D. Du, T. He, N. Hopper, A. Tripathi, J. Weissman, Z. Zhang

Research thrusts in our Networks, Distributed Systems, Security and Cloud Computing group include integrating emerging technologies into computing, communications and storage platforms, efficient and scalable mechanisms and protocols, and novel network and systems architectures and services for enhancing a variety of communication networks and large-scale computing and storage systems. These enhancements affect: availability, reliability, quality-of-service, mobility, manageability, and privacy and security of current and future Internet, emerging wireless, sensor, peer-to-peer systems, large-scale storage systems, high performance distributed systems/network computing utilities and networked multimedia systems and applications.

ROBOTICS, ARTIFICAL INTELLIGENCE & MACHINE LEARNINGA. Banerjee, M. Gini, S. Guy, V. Isler, R. Narain, N. Papanikolopoulos, S. Roumeliotis, J. Sattar, P. Schrater

Research in this area explores a breadth of topics spanning from estimation theory, to mobility mechanisms, active computer vision, integration of visual and motor information in humans, cooperation of robots, and multi-agent systems. Research applications include reconnaissance tasks using miniature robots, search and rescue in urban environments, monitoring human activities for security and efficiency, multi-robot exploration, transportation systems, and environmental and agricultural robotics. Machine learning research focuses on computational learning and predictive modeling with little or no supervision, and applications to complex real world learning problems, such as health care and climate.

SOFTWARE ENGINEERING & PROGRAMMING LANGUAGESM. Heimdahl, S. McCamant, G. Nadathur, E. Van Wyk

Our research in software engineering and programming languages focuses on two main thrusts: developing tools and techniques to enhance programmer productivity and ensure safe software deployment; and designing and implementing new languages, formalisms and frameworks for expressing solutions to computational problems. These two focus areas are synergistic, as new languages are usually oriented towards improving the productivity and software quality. Many of our faculty members in the software engineering research area are part of the University of Minnesota Software Engineering Center (UMSEC), which integrates software engineering research, education, and outreach. We promote dissemination of state-of-the-art software engineering methodologies among practitioners in industry, and encourage industry involvement in the center’s research.

THEORETICAL FOUNDATIONSA. Banerjee, D. Boley, N. Hopper, R. Janardan, G. Karypis, V. Kumar, G. Nadathur, Y. Saad, E. VanWyk

Theoretical foundations research encompasses a broad range of foundational topics in computer science, including computational learning theory, complexity theory, algorithm and data structure design, geometric computing, cryptography, computational logic, and programming languages theory. Several of our group members are also actively engaged in leveraging their research into other research application areas.