ACM Taps Two CoC Faculty Among 2014 Fellows

Professors Mark Guzdial and Shamkant Navathe were among 47 computer scientists selected as fellows of the Association for Computing Machinery (ACM) this week for their innovations in the field.

The 2014 ACM fellows were cited for contributions to key computing fields including data base mining and design; artificial intelligence and machine learning; cryptography and verification; Internet security and privacy; computer vision and medical imaging; electronic design automation and human-computer interaction.

ACM will formally recognize the fellows at its annual awards banquet in June 2015 in San Francisco. Additional information about the ACM 2014 fellows, the awards event, as well as previous ACM Fellows and award winners is available at

Guzdial, a professor in the School of Interactive Computing, was cited for “contributions to computing education and broadening participation.” Guzdial serves as director of Contextualized Support for Learning and led “Georgia Computes!,” an effort to increase the number and diversity of computing students in the state. He is currently a lead in the NSF’s Expanding Computing Education Pathways Alliance, which helps states improve their computing education policy and offerings.

"I feel honored and privileged to be included in the fellows of 2014,” Guzdial said. “This recognition shows that computing education research is valued and promoted in the ACM, which I deeply appreciate. I am particularly grateful to Professor Jim Foley for nominating me.”

A professor at Georgia Tech since 1990, Navathe was cited for his “contribution to data modeling, database design and database education.”  With his multidisciplinary background, Navathe has focused his research on database modeling, design, and integration problems in the context of emerging applications - engineering design, electronic commerce, biological (particularly human genome) databases, document and text databases, and collaborative applications. He is also interested in knowledge representation, data mining and knowledge discovery, tools and methodologies for information system design and visualization and user interfaces for better information retrieval.

“It is a great honor to be recognized by the computing research community for my long-standing work on modeling design, distribution and integration of databases which I started when databases were just starting to be used in industry and government for large-scale applications,” Navathe said. “Through my textbook and its translations in 11 languages, I have been able to influence the teaching of this discipline worldwide. I owe it to a number of colleagues, faculty, and industry collaborators and students who have worked with me over the last 35 plus years.”

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