Information Powered Systems, High Performance Computing, and High Bandwidth Computing

The key societal challenges of the 21st Century for engineering involve complex systems that can take advantage of intelligent network with autonomous nodes that incorporate sophisticated sensing, data-gathering capability, and high-performance computing to output information and control. UNM School of Engineering appreciation of the systems challenges and expertise in areas including high performance computing, high-bandwidth networks, and advanced sensors place us in a key position to address these issues. Digital Media and reconfigurable systems, such as field-programmable gate arrays (FPGAs), are the first of many specific thrusts in this area. Quantum computing is another area of active research. Major partners include the College of Fine Arts, the ARTs Lab, LANL, the Air Force Research Laboratory, and Xilinx.

Academic Programs

Computer Science: BS, MS and PhD Programs

Computer Engineering: BS, MS and PhD Programs

Electrical Engineering: BS, MS and PhD Programs

Research Centers

Highlights

Scaling the Wall One Word at a Time

UNM computer scientists, along with other collaborators from UNM and University of California, Davis, have been using machine learning, algorithms, and some old-fashioned sleuthing techniques to study the technical workings of the Great Firewall of China and Chinese Internet censorship.

How do Networks Work?

Melanie Moses, assistant professor in computer science, studies the relationship between networks and energy consumption and reports, "Ant colonies, global trade, and cities are all sustained by dynamic networks that deliver energy. We can apply what we learn from studying ants to improve efficiencies in traffic, oil consumption, and how we structure cities."

Turning 1s and 0s Into Hope

Working alongside doctors and biologists armed with laser beams and microscopes, UNM researchers Shuang Luan and Terran Lane wield complex computer codes of 1s and 0s to fight disease. Luan and Lane, both assistant professors of computer science, study bioinformatics, the use of computers, software, and databases to solve biological questions.