Recent News & Accomplishments

From Data Analytics to Models: Developing New Tools to Combat COVID-19 through Computing


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Associate Professor Michelle Mazurek’s research group won two distinguished paper awards at the 2020 USENIX Security Symposium . USENIX Security provides a platform where researchers, practitioners, system administrators, system programmers, and others can share and explore the latest advances in the security and privacy of computer systems and networks. The papers were among 11 selected as distinguished papers out of the 157 presented. The two awarded papers are : A Comprehensive Quality Evaluation of Security and Privacy Advice on the Web (Elissa M. Redmiles, Noel Warford, Amritha Jayanti,...  read more
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Daniel Votipka , a fourth-year doctoral student, recently received the 2020 John Karat Usable Privacy and Security Student Research Award , in acknowledgment of his excellence in research, mentorship and community service. The award has been instituted by the Symposium on Usable Privacy and Security (SOUPS) in honor of John Karat, an internationally recognized researcher in the field of human-computer interaction, for his contributions to the usable privacy and security community and his dedication to mentoring students. Votipka’s research focuses on computer security, with an emphasis on the...  read more
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Distinguished University Professors Ming Lin and Hanan Samet recently received the distinguished career in computer science award by the Washington Academy of Sciences . A lifetime achievement award which acknowledges the significant impact of their work in the field of computer science. This award program started in 1940, to encourage the advancement of science and "to conduct, endow, or assist investigation in any department of science." An expert in virtual reality, Lin’s research focuses on computational robotics, haptics, physically-based modeling, virtual reality, sound rendering, and...  read more
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The department is pleased to announce our newest professors of computer science. This new group of professors, joining this fall, brings in research expertise ranging from cybersecurity to data visualization, from cryptography to natural language processing and more. “The department is delighted to welcome our new faculty members. They represent a tremendous amount of knowledge and expertise in critical research areas that will further strengthen the educational and research capacity of our department.” said interim chair Matthias Zwicker . Jonathan Katz Katz conducts research on cryptography...  read more
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Each year, the Department of Computer Science awards outstanding professors, instructors, STIC facilitators and teaching assistants for their outstanding contribution, dedication, thoughtfulness and commitment towards teaching and learning. The nominations for the award were made by the students and faculty. Assistant professor Soheil Feizi and Lecturer Mohammad Nayeem Teli served on the award committee. The award committee selected the following recipients for this year's teaching awards: Best Undergraduate Teaching Assistant : Justin De Burgo nominated for CMSC 132 Object Oriented...  read more
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Senior lecturer Nelson Padua-Perez was recently nominated for the Donna B. Hamilton Teaching Award for excellence in undergraduate teaching for his work in CMSC131. Each year the Office of Undergraduate Studies recognizes two faculty members campus-wide for merit in teaching. The award is based solely on student nominations and is solicited from across campus. Padua-Perez teaches CMSC131:Object-Oriented Programming I, CMSC132: Object-Oriented Programming II and CMSC216 - Introduction to Computer Systems courses. In addition to this he has also designed and taught CMSC389N: Introduction to PHP...  read more
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A team of PhD students advised by Professor Yiannis Aloimonos and Professor Cornelia Fermuller achieved the first and second place over the two portions of the 2020 Epic Action Anticipation Challenge . Anticipating future human activity from video is an area of great importance in computer vision with applications in human-robot interaction, surveillance, navigation, etc. To motivate research towards solving this important problem, the EPIC Kitchens Action Anticipation Challenge was launched, where 20 international teams from leading companies and universities competed. EPIC-Kitchens is the...  read more
The department recently received three teaching innovation grants to develop new and creative instructional strategies for the Fall 2020 courses. The University of Maryland awarded the College of Computer, Mathematical, and Natural Sciences (CMNS) 41 Teaching Innovation Grants totaling over $477,000 to reimagine and reshape the future of teaching and learning at the university. The department received three of these grants to revise and update the courses in order to provide advanced and better learning opportunities to the students. The grant also focuses towards making the online and...  read more
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Professor William Gasarch recently published a book titled “Mathematical Muffin Morsels: Nobody Wants a Small Piece.” The book is co authored by Erik Metz, Jacob Prinz and Daniel Smolyak. The idea of the book sprouted when Gasarch found a pamphlet having a muffin problem proposed by Alan Frank “How can you divide and distribute 5 muffins to 3 students so that every student gets 5/3 where nobody gets a tiny sliver?” “This began as an undergraduate project, but we just kept getting more and more results in interesting ways,” said Gasarch. “A coherent story emerged that just had to be told.” The...  read more
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Kianté Brantley , a fourth-year doctoral student advised by Professor Hal Daumé III received the prestigious Microsoft Research Dissertation Grant for 2020 for his dissertation titled “Practical Techniques for Leveraging Experts for Sequential Decisions and Predictions.” An undergraduate and masters in computer science from University of Maryland Baltimore County, Brantley’s research focuses towards designing algorithms that efficiently integrate domain knowledge into sequential decision making problems (e.g. reinforcement learning, imitation learning and structure prediction for natural...  read more