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Gang Tan

Computer scientist receives $1 million in grants for his research

9/22/17

Gang Tan, associate professor of computer science and engineering at Penn State, and colleagues have been awarded two research grants to help them design a software tool chain that will allow programmers to take advantage of modern memory features, including encrypted memory, transactional memory and scratchpad memory.

CSE students

CSE students win second place in Global Student Challenge

8/29/17

A group of students in the School of Electrical Engineering and Computer Science won second place for the Institute of Electrical and Electronics Engineers Computer Science (IEEE CS) Global Student Challenge for High-Impact Technology Solutions. They were awarded this honor for their work on the National Science Foundation Expeditions-in-Computing Project “Visual Cortex on Silicon.”

Girls Camp

Penn State Department of Computer Science offers summer camp for girls

4/14/17

Computer science is a fundamental gateway to influence our software-driven society, yet according to the National Center for Education Statistics, only 18 percent of undergraduate computer science degrees in the U.S. are awarded to women. The Penn State Department of Computer Science and Engineering, in the School of Electrical Engineering and Computer Science, wants to see this percentage increase, and is offering “Girls Solving Societal Problems Through Computer Science,” for students entering seventh to 10th grades this fall.

Mahmut Kandemir

Kandemir named Institute of Electrical and Electronics Engineers fellow

12/9/15

The Institute of Electrical and Electronics Engineers (IEEE) has named Mahmut Kandemir, professor of computer science and engineering at Penn State, a fellow. IEEE Fellow is the highest grade of membership and is recognized by the technical community as a prestigious honor and an important career achievement. Of the 400,000 members in 160 countries, IEEE elevates less than 1 percent of its voting membership to fellow status.

Paper written by EECS professors chosen one of most significant of last 25 years

9/24/15

An international Significant Papers Committee (SPC) chose a paper co-authored by three professors in the School of Electrical Engineering and Computer Science along with their graduate students as one of the most significant for influencing theory and practice in the area of Field-Programmable Logic and Applications (FPL) over the last 25 years.

Image of toys as seen by computer

Can computers understand what they see?

8/19/14

An interdisciplinary team lead by Vijaykrishnan Narayanan, professor of computer science and engineering, is developing computerized vision systems that can match -- and even surpass -- the capabilities of human vision.

Narayanan named editor-in-chief of IEEE journal

9/23/13

Vijaykrishnan Narayanan, professor of computer science and engineering and electrical engineering, has been named editor-in-chief of the Institute of Electrical and Electronic Engineers' Transactions on Computer Aided Design of Integrated Circuits and Systems.

Two Penn State engineers named ASME fellows

5/14/13

Two Penn State engineering faculty members were recently named fellows of the American Society of Mechanical Engineers (ASME). The faculty members are Mike Erdman, the Walter L. Robb Director of Engineering Leadership Development, and Soundar Kumara, the Allen E. Pearce/Allen M. Pearce Professor of Industrial Engineering.

NSF grant seeks to replicate human pattern recognition in computers

10/24/12

Penn State and Stanford University will collaborate on a three-year, $800,000 National Science Foundation (NSF) grant that seeks to bridge the gap between how humans and computers see. Yanxi Liu, associate professor of computer science and engineering and electrical engineering, and Rick Gilmore, associate professor of psychology, serve as Penn State's co-principal investigators on the effort. The Penn State-Stanford project looks to understand how the human brain perceives and processes patterns and how that natural ability could be duplicated in computers.The work could pave the way for detection of medical or security anomalies, robotics, and generic pattern indexing and retrieval.

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