Recent News & Accomplishments
2024
Jordan Boyd-Graber Ying, Furong Huang, Michael Marsh and Abhinav Shrivastava were promoted in the summer of 2024.
The University of Maryland's Department of Computer Science is pleased to announce the promotion of four faculty members, recognizing their contributions to research, teaching and leadership within the field of computer science. The promotions are effective between November 2023 and August 2024. "Our faculty members have truly earned their promotions through their relentless pursuit of innovation, excellence in teaching and innovative research. Their work continues to set new standards in computer science,” said Department Chair Matthias Zwicker , who holds the Elizabeth Iribe Chair for... read more
As an international student, Parmar sought University Career Center support in navigating the sponsorship process for a summer internship.
Why did you decide to study computer science at UMD? I initially enrolled at UMD as a mechanical engineering major, but the computer science (CS) program here really drew me in. After giving it a lot of thought, I decided to switch to CS because the world of artificial intelligence was becoming increasingly compelling to me. The challenging courses at UMD fueled my passion and made me eager to learn more. My academic advisor encouraged me to minor in another field, which inspired me to take business courses. Combining my interests in computer science and business has been incredibly rewarding... read more
Twenty-three students from across the U.S. are gaining invaluable research skills at the University of Maryland this summer through a hands-on program sponsored by the National Science Foundation. The Research Experiences for Undergraduates (REU) program—now in its 12th year at UMD—pairs students in small groups with Maryland faculty and graduate students, exploring diverse topics that include machine learning and AI, quantum simulation, parallel algorithms, and more. Most visiting REU scholars—the majority of them undergraduates with a few high school students mixed in—receive a $7,000... read more
GAMA processes non-speech sounds and non-verbal speech to provide detailed responses.
Imagine robots that can listen to every sound and interpret its meaning, from the rustling of leaves to the hum of a distant engine. Envision machines that not only recognize spoken words but also understand the emotional nuances in a baby's cry or the urgency in a fire alarm. This scenario is closer to reality thanks to innovative research at the University of Maryland’s Departments of Computer Science and Electrical & Computer Engineering . Leading this breakthrough, researchers at UMD have unveiled GAMA , a large language model (LLM) capable of understanding and processing various non-... read more
Bahar Asgari explores flexible, dynamic architectures for high-performance computers.
Bahar Asgari thinks that high-performance supercomputers (HPCs) could run far more efficiently and consume less energy. That’s particularly possible when crunching sparse datasets — ones with many zeros or empty values — that are often encountered in scientific computing. Her solution: low-cost, domain-specific architecture and hardware, and software co-optimization reminiscent of processes in the human brain. “If you look at the performance of modern scientific computers used for sparse problems, they achieve the desired speed, but they don’t run efficiently,” says Asgari, a University of... read more
Researchers’ robotic system aims to improve autonomy for people with mobility issues.
As an undergraduate engineering student in Delhi, India, Amisha Bhaskar took a field trip to a facility for disabled war veterans and met a man who had lost both hands. When she asked him what technologies could improve his life, his reply left an indelible impression: He wanted something so he could take care of himself and not be forced to rely upon others. Now a second-year doctoral student at the University of Maryland studying computer science, Bhaskar has focused on the wounded veteran’s broad request as her area of study. Working with others in the Robotics Algorithms & Autonomous... read more
The camera mimics the involuntary movements of the human eye to create sharper, more accurate images for robots, smartphones and other image-capturing devices.
A team led by University of Maryland computer scientists invented a camera mechanism that improves how robots see and react to the world around them. Inspired by how the human eye works, their innovative camera system mimics the tiny involuntary movements used by the eye to maintain clear and stable vision over time. The team’s prototyping and testing of the camera—called the Artificial Microsaccade-Enhanced Event Camera (AMI-EV)—was detailed in a paper published in the journal Science Robotics in May 2024. “Event cameras are a relatively new technology better at tracking moving objects than... read more
Professor Matthias Zwicker has been reappointed chair of the University of Maryland’s Department of Computer Science for a four-year term, effective July 1, 2024, following a national search. He has been chair of the department since 2020.
Professor Matthias Zwicker has been reappointed chair of the University of Maryland’s Department of Computer Science for a four-year term, effective July 1, 2024, following a national search. He has been chair of the department since 2020. “I am grateful for the leadership Matthias has demonstrated over the past four years and support his vision for his next term,” said Amitabh Varshney , dean of the College of Computer, Mathematical, and Natural Sciences. “His commitment to students and impactful research has helped to further the University of Maryland's position as a Top 10 public... read more
The award will support a three-year project to develop a system that uses high-speed cameras and machine learning algorithms to instantaneously create clearer images.
Atmospheric turbulence—aside from causing bumpy air travel—can also affect aerial imaging systems used for surveillance, astronomy and more. Long-range imaging can be especially difficult, with pictures often ending up distorted and of little use because of the chaotic flow of air between the camera and object being photographed. A University of Maryland expert in machine learning and computational imaging has just received a $360,000 grant from the Army Research Office (ARO) to address this challenge. Christopher Metzler , an assistant professor of computer science with an appointment in the... read more
The Computer Science and Women, Gender, and Sexuality Studies departments collaborated on a new cross-listed course.
Issues of race and gender have shaped computing since its beginning, now with increasing debate over algorithmic bias, surveillance, data privacy and more. As technology evolves to play a larger role in everyday life, it’s even more important that people understand how technology can reinforce systems of power. This spring semester in a new course cross-listed in the University of Maryland’s Computer Science and Women, Gender, and Sexuality Studies (WGSS) departments, students examined the relationships between digital technology, power structures and social justice. The idea for the course,... read more