Prof Fatih Porikli is an IEEE Fellow and a Professor in the Research School of Engineering, Australian National University (ANU), Canberra. He is also acting as the Computer Vision Group Leader at NICTA, Australia. He has received his PhD from New York University (NYU), New York in 2002. Previously he served a Distinguished Research Scientist at Mitsubishi Electric Research Laboratories (MERL), Cambridge. Before joining MERL in 2000, he developed satellite imaging solutions at HRL, Malibu CA, and 3D display systems at AT&T Research Laboratories, Middletown, NJ.
He has contributed broadly to object and motion detection, tracking, image-based representations, and video analytics. His current research interests include computer vision, pattern recognition, manifold learning, robust and sparse optimization, multimedia processing, data analysis, online learning and classification, grid and parallel computing, and data mining with many commercial applications including video surveillance, medical systems, car navigation, intelligent transportation, logistics, satellite systems, automation, visualization, and consumer electronics.
Prof Porikli was the recipient of the R&D 100 Scientist of the Year Award in 2006. He has won 4 best paper awards at premier IEEE conferences including the Best Paper Runner-Up at IEEE CVPR in 2007, the Best Paper at IEEE Workshop on Object Tracking and Classification beyond Visible Spectrum (OTCBVS) in 2010, and the Best Paper from IEEE AVSS in 2011, and the Best Poster Award at IEEE AVSS in 2014.
He has received 5 other professional prizes: the Most Popular Scientist Award by Popular Science, Turkey, in 2007, the Superior Invention Award by MELCO, Japan in 2008, MELCO Presidents Award, Japan, in 2007, MERL Directors Award, USA, in 2008, and the MELCO-PUS Research Excellence Award, Japan, in 2009. His technological contributions have been transferred into many products including Mitsubishi DVR DX-TL2500 (2005), HeliTele - world's first disaster response aerial camera system (2006), Physical Security Suite PC55EXP (2007), Yokohoma/Tokyo Customs Surveillance Systems (2008), Network Recorder (2009), and Particle-Beam Radiotherapy System (2012).
Prof Porikli authored more than 140 publications and invented 61 patents. He is the coeditor of two books: Video Analytics for Business Intelligence and Handbook on Background Modeling and Foreground Detection for Video Surveillance. Prof Porikli is the sole author of a pioneering paper on fast histogram computation, which is one of the most-cited papers in this area with 600+ citations last 6 years. Integral histogram technique has become the de facto standard for histogram-based image descriptors (HOG, etc) demonstrating speeds up by several orders of magnitude and enabling computationally efficient implementations.
He has h-index 38 and i10-index 76, citation count around 7000. He serves as the Associate Editor of 5 premier journals including IEEE Signal Processing Magazine (impact rate 6.0), SIAM Imaging Sciences (rank 2 out of 236 applied math journals), EURASIP Journal of Image & Video Processing, Springer Journal on Machine Vision Applications (2012-2015), and Springer Journal on Real-time Image & Video Processing, Prof Porikli is acknowledged as one of the forerunners of the computer vision community.
He was the General Chair of AVSS 2010 and WACV 2014, and the Program Chair of WACV 2015 and AVSS 2012, two premier application-driven computer vision events. He organized more than a twenty IEEE Computer Society cosponsored orkshops including IEEE Workshop on Online Learning for Computer Vision in last 6 years. He served at the organizing committees of several flagship conferences including ICCV, ECCV, CVPR, ICIP, AVSS, ICME, ISVC, and ICASSP. He served as Area Chair of CVPR 2009, ICPR 2010, IV 2008, and ICME 2006. He served as a judge at several NSF panels from 2006 to 2013 and gave keynotes in various symposiums.
He supervised more than 45 PhD students.
Computer vision, pattern recognition, manifold learning, robust and sparse optimization, multimedia processing, data analysis, online learning and classification, data mining
Computer vision, image processing, patter recognition, remote sensing, augmented reality, image enhancement, target detection, video surveillance, medical image processing