Two Center Members Elected as ACM Fellows

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The Association for Computing Machinery (ACM), the world’s largest educational and scientific computing society, has announced two faculty members have earned prestigious honors. Computer science professors Rina Dechter and Padhraic Smyth have been named 2013 ACM Fellows. Read more

ICS grad students take second place in sbv IMPROVER competition

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Peter Sadowski and Michael Zeller, both Ph.D. students with the Department of Computer Science, earned a second-place finish in an international data-mining competition. The honor was given by sbv IMPROVER, a collaborative project designed to enable scientists to learn about and contribute to the development of a new crowdsourcing method for verification of scientific data and results. Read more

CML Faculty Member Alex Ihler receives NSF CAREER Award

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Alexander Ihler, associate professor of computer science, has been awarded the National Science Foundation’s (NSF) Faculty Early Career Development (CAREER) Award for his project, .Estimation and Decisions in Graphical Models.. Ihler will receive $442,000 over five years for his CAREER project, which seeks to develop a new framework for exact and approximate methods for advanced computational reasoning problems. It extends the abilities of intelligent systems to reasoning and decision-making under uncertainty, and it applies and tests these methods on a variety of application domains, including sensor networks and computer vision. Read more

Professor Pierre Baldi wins ICSB Award

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The International Society for Computational Biology has selected Chancellor’s Professor Pierre Baldi as an ISCB Fellow. The ISCB Fellows program honors members who have distinguished themselves through outstanding contributions to the fields of computational biology and bioinformatics. The 2013 fellows were recognized at the Intelligent Systems for Molecular Biology conference, held July 21-23 in Berlin. Read more

Professor Padhraic Smyth serves as Program Chair for UAI 2013 Conference

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Computer science professor Padhraic Smyth served as program chair for the 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013), held July 11-15 in Bellevue, Wash. Sponsored by Microsoft Research, Google, Facebook, Amazon, Toyota and IBM, UAI is the leading international conference on the use of probabilistic models and algorithms in artificial intelligence and machine learning. More than 240 papers were submitted to the conference; 73 were accepted for presentation at the meeting, after extensive peer review by a program committee of over 200 researchers in the area. Read more

CML faculty Xiaohui Xie and Chen Li awarded $662k NIH grant

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Computer science faculty Xiaohui Xie and Chen Li have been awarded a three-year grant of nearly $662,000 from the National Institutes of Health (NIH) to develop new computational tools essential for future advances in sequencing human genomes. The primary goal of the NIH-funded research is to develop computational algorithms and open-source software to improve both the efficiency and accuracy of next-generation sequencing analysis tools and expand the accessibility of those tools to previously understudied regions of the genome.

CML professor Charless Fowlkes receives NSF CAREER Award

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Charless Fowlkes, assistant professor of computer science, has been awarded the National Science Foundation’s Faculty Early Career Development (CAREER) Award for his project, “Combinatorial Inference and Learning for Fusing Recognition and Perceptual Grouping.” The CAREER program is NSF’s most prestigious award for junior faculty members. Awardees are chosen because they exemplify the role of teacher-scholars through outstanding research, excellent education, and the integration of education and research within the context of the mission of their organizations.

Former CML PhD student Seyoung Kim awarded $50k Sloan Research Fellowship

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Seyoung Kim, an assistant professor in the Lane Center for Computational Biology at Carnegie Mellon University, was awarded the prestigious Sloan Fellowship for pushing frontiers of research. Kim earned her PhD in computer science at UCI in 2007. She is interested in developing statistical machine learning tools for analyzing large-scale genomic data and investigating biological systems of various organisms and disease processes using these tools.