Visit to South Korea / ICCV 2019

Spent several days in South Korea, prior to ICCV 2019

Tags: , | Categories: Photos | Date: November 2nd, 2019 | By: Irfan Essa |

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Newly Endowed Chair Underscores Value of Computational Journalism | College of Computing

It is great to see someone who has done so much for Computational Journalism, continue to support it this way. Thanks Krishna Bharat.

Friday, November 1, 2019

The creator of Google News has endowed a new faculty chair position in computational journalism at Georgia Tech’s College of Computing. Krishna Bharat – Georgia Tech alumnus (MS CS 1993, Ph.D. CS 1996) and Distinguished Research Scientist at Google – announced his donation during a reception at the College, held Oct. 31.

“Given the relative maturity of the field and the promise ahead, I felt this was the right time to create an endowed chair in computational journalism. This is a way for me to give back to Georgia Tech, and also to help the College of Computing expand its research portfolio, and show leadership in this important area,” said Bharat.

President Ángel Cabrera, Dean of Computing Charles Isbell, and members of the College’s Advisory Board, along with dozens of faculty, staff, and students, attended the reception held in the Klaus Advanced Computing Building.

The Krishna A. Bharat Chair in Computational Journalism recognizes the College’s contributions to the field, which Georgia Tech is credited with creating in 2006. A nationwide search to fill the newly endowed chair position will begin in the coming months.

Source: Newly Endowed Chair Underscores Value of Computational Journalism | College of Computing

On Twitter

Tags: , | Categories: CnJ | Date: November 1st, 2019 | By: Irfan Essa |

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Jeff Dean (SVP/Senior Fellow Google) at GA Tech

It was great to host Jeff Dean during his recent visit to Georgia Tech

Jeff Dean at GA Tech

It’s not every day that Google’s head of artificial intelligence visits Georgia Tech, but when he does he makes an impact. Hosted by the College of Computing and the Machine Learning Center (ML@GT), Jeff Dean, senior fellow and senior vice president at Google AI, spent the day with students and faculty on Oct. 1.

Dean’s main talk was held in the Clough Undergraduate Learning Center. More than 600 people attended to hear his perspective on Using Deep Learning to Solve Challenging Problems. Dean touched on topics including how Google is working to improve diversity, solve healthcare problems, and put autonomous cars on the road during the talk.

Source: ML (Machine Learning) at Georgia Tech

On Twitter, Talk Announcement

Tags: , , | Categories: Visitors | Date: October 1st, 2019 | By: Irfan Essa |

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The Minds of the New Machines | Research Horizons | Georgia Tech’s Research News

A nice write-up in Georgia Tech’s Research Horizons Magazine about ML@GT

Machine learning has been around for decades, but the advent of big data and more powerful computers has increased its impact significantly — ­moving machine learning beyond pattern recognition and natural language processing into a broad array of scientific disciplines. A subcategory of artificial intelligence, machine learning deals with the construction of algorithms that enable computers to learn from and react to data rather than following explicitly programmed instructions. “Machine-learning algorithms build a model based on inputs and then use that model to make other hypotheses, predictions, or decisions,” explained Irfan Essa, professor and associate dean in Georgia Tech’s College of Computing who also directs the Institute’s Center for Machine Learning.

Source: The Minds of the New Machines | Research Horizons | Georgia Tech’s Research News

Tags: , , | Categories: In The News, Machine Learning | Date: March 15th, 2018 | By: Irfan Essa |

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Real-Time Captcha Technique Improves Biometric Authentication | College of Computing

A short write-up on one of my recent publications.

A new login authentication approach could improve the security of current biometric techniques that rely on video or images of users’ faces. Known as Real-Time Captcha, the technique uses a unique challenge that’s easy for humans — but difficult for attackers who may be using machine learning and image generation software to spoof legitimate users. The Real-Time Captcha requires users to look into their mobile phone’s built-in camera while answering a randomly-selected question that appears within a Captcha on the screens of the devices. The response must be given within a limited period of time that’s too short for artificial intelligence or machine learning programs to respond. The Captcha would supplement image- and audio-based authentication techniques that can be spoofed by attackers who may be able to find and modify images, video and audio of users — or steal them from mobile devices.

CITATION: Erkam Uzun, Simon Pak Ho Chung, Irfan Essa and Wenke Lee, “rtCaptcha: A Real-Time CAPTCHA Based Liveness Detection System,” (Network and Distributed Systems Security (NDSS) Symposium 2018).

Source: Real-Time Captcha Technique Improves Biometric Authentication | College of Computing

Tags: , , , | Categories: Computer Vision, In The News, Machine Learning | Date: February 20th, 2018 | By: Irfan Essa |

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