WORK EXPERIENCE:

Mitsubishi Electric Research Labs, Cambridge, MA (March 2000 - Present)
Distinguished Member Research Staff and Technical Manager, Imaging Group

• Won the R&D100 Award, category: Scientist of the Year (select group of winners), 2006
• Won 2 Best Paper Awards, 1 Best Paper Runner-up, nominated for 3 other publications awards
• Supervised 40+ PhD student interns, thesis committee and co-advisor of 13
• Associate Editor of 5 journals (IEEE SPM: impact factor 6.0, SIIMS: rank 2 / 236 in applied math)
• 100+ papers, 70+ patent applications (3200+ citations, 50+ granted international patents)
• Ranks in the top 1% among computer vision scientists worldwide (89/28152 Microsoft Academic Search, h-index: 28)
• Selected consistently among the Best Performing employees at MERL from 2003 to 2011
• Won the MELCO Research Excellence Awards in 2009 & 2011, the MELCO Presidents Award 2007, and the MERL Directors Award 2008 in recognition of contributions to strategic products
• Technically managed project oriented teams, hired people and allocated given resources
• Lead several strategic and disruptive projects, company R&D Advisory Committee
• Prepared 35 successful project proposals (Corporate R&D), 1 final-tier ARDA proposal
• Developed fundamental technologies for 10+ key products: Particle Beam IGRT, Surveillance DVR DX2500, MELCO Car Navigation, Satellite/SAR Imaging Suit, Electronic Toll Collection, Vehicle Traffic Control, Mitsubishi DTV Decoder, Physical Security PC55EXP, Harbor Monitoring, Stadium Multi-Camera System, HD Helicopter Television, MPEG Decoder IC
• Brought in external funding and personally managed (selected projects):
  • Multi-modal Multi-Sensor Data Enhancement (Started 2011)
    Development of compressive sensing, fusion, super-resolution, denoising, deblurring
  • Medical Data Analysis (Started 2006, multi-million $ in sales)
    Design of non-intrusive tumor finders and trackers for particle beam IGRT system
  • Object Detection and Tracking(Started 2005, multi-million $ in sales)
    Development of advanced aerial, indoors, outdoors, vehicle surveillance systems
  • GIS, Aerial Video, Radar & Car Navigation (Started 2004, multi-million $ in sales)
    Pioneering stabilization and tracking functionalities for aerial cameras and radars
  • ETC and DSSS for Highway Traffic, Traffic Event Detection 2003, 2006, 2007, 2009
    Camera sensor based traffic flow control and management for highways
    
  • Automatic Video Object Segmentation, 2001, 2002, 2003, 2010 Enabling technologies for MPEG-4 / MPEG-7, and medical systems
• Joint proposal on "Flock Behavior" with U.S. Army R&D Center, 2008

• Technical Highlights (partial list only):

  • Invented novel data features & descriptors: relational combinatorial features that provide 70x speedup and 5x~20x less errors (award winning), region covariance matrix descriptor that is demonstrated as one of the best region features for segmentation, detection, and recognition (300+ citations), boosted feature selection and classifier adaptation method that achieves the minimal memory imprint (3% of original) for low-cost on-camera systems
  • Developed classification & learning methods, video analytics: the first manifold boosting classifiers that provide 10x performance improvement while running 30x faster than traditional SVMs: one of the most accurate (96% accuracy @10-5 FA) human detection methods (award winning), Fourier Frequency Mapping for fast SVM kernel approximation (50x acceleration, award winning), automatic parameter estimation & outlier detection methods using spectral clustering (key feature of video analytics products), analytical manifold learning methods (improve detection rate 90% for large affine transforms), "Value of Information" metrics that provide 4x more accurate active learning, online dictionary learning methods (for lightweight processing), kernel based weakly supervised clustering that improves accuracy from 60% to 99%, the fastest traffic congestion method using HMMs (robust to any lighting condition, achieves 95% accurate detection), compressive sensing and dictionary learning based robust low-rank and subspace learning
  • Developed state-of-the-science computer vision solutions: automatic video object segmentation (10x faster than motion segmentation, 'product quality' object trackers including multi-kernel mean-shift, regression, particle filtering (improve performance from 73% to 90%) for surveillance and medical applications, robust fast (100fps/single target) UAV aerial target tracking, multi-modal registration for optical, infrared, and medical imagery, the first dynamic programming based calibration method for multi-camera networks, essential tools to imaging products including filter banks, MPEG-7 metadata generation, level-set image segmentation, image reconstruction (4x super-resolution), the first statistical mixture of model fitting for effective removal of moving cast shadows (45% better detection)
  • Developed advanced high dimensional signal processing algorithms: matrix decomposition based texture compression (5x improvement over JPEG), Bayesian update fitting of stochastic models to temporal data (2x more accurate than online EM when models overlap), high accuracy automatic target detection for very noisy (6dB) radar signals, frequency synthesis for MPEG-2 that minimizes the design complexity and drift (3dB improvement in HDTV streams), bandwidth renegotiation that minimizes latency 35% while optimizing bandwidth (a new feature of Mitsubishi QS Router)
  • Developed sensor network based cyber-physical systems including real-time patient monitoring technology for IGRT system (with 2mm precision), wireless motion sensor network that monitors living/working spaces to optimize task scheduling and event detection, critical care monitoring system using Dynamic Bayesian Networks and multi-modal bio-signal analysis for real-time human state prediction (remote health monitoring), autonomous driving system that detects objects for obstacle avoidance (car navigation)
  • Designed high performance computing methods: one of the fastest bilateral filtering method that runs in constant time (runs at 200fps @ 1MB data on NVIDIA GPU using CUDA), highly cited (350+) integral histogram that accelerates search more than 100x, parallel processing algorithms that accelerate signal processing tasks up to 80x, efficient scan-line search using dynamic programming for distortion compensation from O(M4 xM) to O(M2) complexity that enables projecting video onto any dynamic surface, volumetric synthesis and rendering (CT to 4DCT / ultrasound / X-ray)

Hughes Research Laboratories, Malibu, CA (May 1999 - March 2000)
Contractor, Information Sciences Lab (started as an intern)

• Developed novel road extraction methods for very low-resolution multi-spectral satellite images as a key component of aerial surveillance products
• Designed an electron microscope data analyzer to determine nano-level properties of atomic structures to reduce the cost of special IC production

AT&T Bell Labs, Holmdel, NJ (July 1997 - August 1998)
Contractor, Image Processing Group (started as an intern)

• Developed boundary accurate 3D estimation methods that prevent surface singularities for low texture images by mesh patch matching for experimental 3D display
• Prepared a comprehensive formulation of the psychometric aspects of 3D perception to reduce eye-strain

HONORS:

• R&D100 Award, category: Scientist of the Year (select group of winners), 2006
• Best Paper Prize, IEEE AVSS 2011
• Best Paper Prize, IEEE OTCBVS Workshop, in conjunction with CVPR 2010
• Best Paper Prize – Runner up (out of 1300 papers), IEEE CVPR 2007
• Public Utility Systems Research Excellence Award for excellent performance of developed technology for the system deciphering damages through the Helicopter TV images, 2009
• MELCO-ATC Excellence Award for contribution to planning and monitoring technologies for scanning particle beam therapy, 2009
• Corporate R&D Award for contributions to product competitiveness thorough innovative algorithm development for video surveillance systems, 2008
• MERL Directors Award for contributions to product development of medical image based alignment technology for particle beam radiotherapy, 2008
• Most Popular Scientist Award from Popular Science Magazine, TR, for the contributions in smart camera systems, 2007
• Best Paper Prize – nomination (out of 900 papers), IEEE ICME 2007
• Best Paper Prize – nomination (out of 250 papers), IEEE AVSS 2009
• 5 and 10 years of High Achievement Awards by MERL 2005, 2010
• Top 0.005% in the National University Entrance Exam
• Ranked 32nd among 700,000 students
• Full scholarship for overseas doctorate study from National High Educational Council (Top 1%)
• Full scholarship for 5 years from the Board of Education of Bilkent University (Top 2.5%)
• Honorable mention at the Regional Peace Poems Awards

 

EDUCATION:

Ph.D. Electrical and Computer Engineering (2002)
New York University – Poly, NY
Minors: 1.Mathematics, 2.Computer Science
Thesis: Automatic Video Object Segmentation. Advisor: Prof. Yao Wang (IEEE Fellow)

M.S. Electrical Engineering (1996)
New York University – Poly, NY
Concentration: Signal Processing. Advisor: Prof. Yao Wang (IEEE Fellow)
University of Southern California, Los Angeles, CA
Enrolled in graduate program; transferred to Polytechnic University.

B.S. Electrical Engineering (1992)
Bilkent University, Ankara, Turkey. Advisor Prof. Levent Onural (IEEE Fellow)

TEACHING:

• Research Assistant, Polytechnic University, NY (1999)
• Tutor, Polytechnic University, NY (1996)
• Teaching Assistant, Ankara University, TR (1993)
• Instructor, First Step Computer Center, Inc., TR (1987)

KEYNOTES:

• Vision application of structural learning through manifolds", IAPR S+SSPR Keynote, 2010
• Surveillance from a practical point of view", IEEE AVSS Panel, 2009
• Past and future of smart camera systems", IEEE DICTA Plenary, 2008
• Future generation detection and tracking systems", ISVC Keynote, 2007

Invited talks:

• Computer vision manifolds", University of Minnesota, IMA Invited Colloquium Speaker, 2011
• "Learning in non-linear spaces", Brown University, 2011
• "Video analytics", Siemens, 2010
• "Inference on manifolds", ECE Colloquium Series Boston University, 2010
• Is world made of manifolds?" The Ohio State University, 2009
• Future of surveillance systems", AVSS, Genoa, 2009
• Manifold learning", MIT, 2008
• Issues in video analytics & surveillance systems: research vs. applications", AVSS Panel, 2007
• Detection, classification and tracking in manifolds", Google, 2007
• Covariance matrix descriptors and their applications", Boston University, CS, 2006
• Object detection and tracking", University of Illinois-Chicago, 2006
• Combining detection and tracking", Sarnoff, 2005
• Advanced computer vision solutions for surveillance systems", Rutgers University, 2005
• How to learn backgrounds in challenging environments", EPFL, 2004
• Image processing tools for multi-camera systems", University of Maryland, 2003
• Video object segmentation using video-cubes", Carnegie-Mellon, 2003

ACADEMIC RESPONSIBILITIES:

Editor:

• Associate Editor, IEEE Signal Processing Magazine, 2011 to present (impact rate 6.0)
• Associate Editor, SIAM Imaging Sciences, 2011 to present (rank 2 / 236 in applied math)
• Associate Editor, EURASIP Journal of Image & Video Processing, 2011 to present
• Associate Editor, Journal of Machine Vision Applications, Springer, 2006 to present
• Associate Editor, Journal of Real-Time Image and Video Processing, Springer, 2004 to present
• Guest Editor, Journal of Machine Vision Applications, SI on Car Navigation Systems, 2011
• Guest Editor, EURASIP JIVP, SI on Video Tracking in Complex Scenes for Surveillance, 2008
• Guest Editor, Journal of Machine Vision Applications, SI on Dynamic Textures, 2009
• Co-editor, Springer Book on Video Analytics for Business Intelligence, C. Shan, F. Porikli, T. Xiang, S. Gong, 2011

Conference Organization:

• General Chair, IEEE Intl. Conference on Advanced Video & Signal Based Surveillance (AVSS), 2010
• Technical Program Chair, IEEE Workshop on Applications in Computer Vision (WACV), 2013
• Technical Program Chair, IEEE Intl. Conference on Advanced Video & Signal Based Surveillance (AVSS), 2012
• Area Chair, IEEE Conference on Computer Vision & Pattern Recognition (CVPR), 2009
• Area Chair, IAPR International Conference on Pattern Recognition (ICPR), 2010
• Program Chair, Visual Communications & Image Processing, 2004~2006
• Program Chair, SPIE Real-Time Imaging, 2003 to present
• Track Chair, IEEE International Conference on Multimedia & Expo (ICME) 2007, 2008
• Industrial Chair, IEEE International Conference on Computer Vision (ICCV), 2011
• Corporate Relations Chair, IEEE Conf. Computer Vision & Pattern Recognition (CVPR), 2012, 2013
• Special Tracks Chair, International Symposium on Visual Computing (ISVC), 2009, 2012
• Advisory Board, IAPR International Conference on Pattern Recognition (ICPR), 2010
• USA Liaison, IEEE Intelligent Vehicles Symposium (IV), 2009
• USA Liaison, Asian Conference on Pattern Recognition (ACPR), 2013
• Senior Member IEEE, member ACM, SPIE

Panelist Judge:

• National Science Foundation, NSF, Computer Vision, 2012
• National Science Foundation, NSF, Computer Vision, 2011
• National Science Foundation, NSF, Computer Vision, 2010
• National Science Foundation, NSF, Image Processing, 2008

Organizer:

• IEEE Change Detection Workshop (with CVPR 2012)
• ICPR Contest on People Tracking in Wide Baseline Camera Networks, ICPR 2012
• IEEE Workshop on Modeling, Simulation and Visual Analysis of Large Crowds 2011
• IEEE Online Learning for Computer Vision Workshop (with IEEE CVPR 2010)
• IEEE Online Learning for Computer Vision Workshop (with IEEE ICCV 2009)
• IEEE Online Learning for Classification Workshop (with IEEE CVPR 2008)
• IEEE Online Learning for Classification Workshop (with IEEE CVPR 2007)
• International Symposium of Visual Computing (ISVC) 2007, Algorithms for the Understanding of Dynamics in Complex and Cluttered Scenes

Session Chair (not updated any longer):

• IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) 2006, Video Object Tracking Session
• IEEE International Conference on Image Processing (ICIP) 2006, Object Detection
• SPIE Real Time Imaging 2004-2008 Video Compression & Image Analysis Sessions
• IAPR Machine Vision Applications (MVA) 2005, Intelligent Transport Systems Session
• International Symposium of Visual Computing (ISVC) 2005, Autonomous Navigation
• IS&T Image & Video Communications Processing 2003, 2005, Video Scaling - Tracking
• IEEE International Conference on Image Processing (ICIP) 2003, Surveillance Video
• IEEE International Conference on Multimedia & Expo (ICME) 2002, 2003, 2005, Multimedia Analysis & Multi-Camera Systems Sessions

Program Committee:

• IEEE Conference Computer Vision and Pattern Recognition (CVPR) 2005~2012
• IEEE International Conference on Computer Vision (ICCV) 2005, 2007, 2009, 2011
• European Conference on Computer Vision (ECCV) 2006, 2008, 2010, 2012
• IEEE International Conference on Image Processing (ICIP) 2004, 2006~ 2008
• IEEE Conference on Intelligent Transportation Systems (ITS) 2006, 2007, 2008
• International Conference on Pattern Recognition (ICPR), 2008, 2012
• International Symposium of Visual Computing (ISVC) 2005~2012
• Computer Vision in Vehicle Technology, From Earth to Mars (CVVT), 2011
• IEEE Workshop on Applications of Computer Vision (WACV) 2006, 2008~2010
• IEEE Workshop on Performance Evaluation of Tracking Sys. (PETS) 2005~2008
• IEEE Advanced Video and Signal based Surveillance (AVSS) 2005~2009
• IEEE Workshop on Object Tracking & Class. Beyond Visible Spectrum (OTCBVS), 2006~2010
• IS&T Image and Video Communications and Processing (IVCP) 2003, 2005
• Visual Communications and Image Processing (VCIP) 2004, 2006, 2008, 2010
• International Workshop on Online Pattern Recognition and Machine Learning Techniques for Computer Vision Applications (OPRMLT) 2008
• IEEE Workshop on Motion and Video Computing (WMVC) 2008
• IEEE International Workshop on Mobile Multimedia Processing (WMMP) 2008
• IEEE Workshop on Multi-Camera and Multi-modal Sensor Fusion, (MCMMSF) (2008)
• IEEE Intelligent Vehicles Symposium (IVS) 2004
• IEEE Digital Image Computing: Techniques and Applications (DICTA) 2010
• IEEE Workshop on Video-Oriented Object and Event Classification, ICCV 2009
• IEEE International Workshop on Multimedia Signal Processing (WMSP) 2008

Journal Reviewer:

• IEEE Transactions on Pattern Analysis & Machine Intelligence, 2003~2012
• International Journal on Computer Vision (IJCV), 2012
• IEEE Computer Society Pattern Recognition Letters, 2005~ 2008, 2010
• IEEE Transactions on Image Processing 2003~ 2012
• IEEE Transactions on Circuits & Systems for Video Tech., 1997, 1998, 2000, 2002, 2003, 2006~2010
• ACM Multimedia 2002, 2004, 2006, ACM Computer Applications in Health Care, 2003~2007

Board of Trustees:

• Pioneer Charter School of Science, Everett, MA
• American Business Improvement & Development, Boston, MA (President 2009)

PUBLICATIONS:

1. see 'publications' link on the navigation menu (left)
   

PATENT DISCLOSURES (50 Granted, 30+ Pending):

1. F. Porikli, F. Li, "Tumor tracking in multi-view X-ray videos", 2012
2. O. Tuzel, F. Porikli, C. Hedge, "Upscaling natural images", 2012
3. F. Porikli, X. Shu, "Method for recovering low-rank matrices and subspaces from data in high-dimensional matrices", 2012
4. F. Porikli, Y. Chi, "Multi-class classification method", 2012
5. F. Porikli, N. Rao, "Learning dictionaries with clustered atoms", 2012
6. F. Porikli, Y. Wang, "Method for image deblocking", 2012
7. F. Porikli, R. Sundaresan, "Image filtering by sparse reconstruction on affinity net", 2012
8. F. Porikli, "Method for encoding building images", pending, 2011
9. F. Porikli, "Tumor tracking system and method for radiotherapy", pending, 2011
10. F. Porikli, M. Hussein, "Segmentation of orthogonal slice and projection images" pending, 2011
11. F. Porikli, H. Nguyen, "Method for representing objects with concentric ring signature descriptors for detecting 3D objects in range images", pending, 2011
12. F. Porikli, H. Nguyen, "Method for 3D shape representation using classifiers", pending, 2010
    
13. F. Porikli, A. Joshi, "Method for multi-class classifier by binary feedback", pending, 2010
    
14. F. Porikli, "Method for radar target detection", pending, 2010
    
15. F. Porikli, A. Joshi, "Method for scene adapting object detector", pending, 2010
    
16. F. Porikli, P. Pan, "Method for regressed particle filter tracking", pending, 2009
    
17. F. Porikli, A. Joshi, "Active learning method for multi-class classifiers", (8,140,450)
    
18. F. Porikli, Z. Zhao, "Method for automatic tracker selection", pending, 2009
    
19. R. Yim, S. Perli, F. Porikli, J. Zhang, "Method and system for coding information subject to motion blur", (20100327064)
    
20. F. Porikli, M. Hussein, "Object detection method via boosted deformable features" pending, 2009
    
21. R. Yim, S. Saito, F. Porikli, J. Zhang, "Method and system for coding digital information in lane markings using an optical sensor", (8,174,374)
    
22. F. Porikli, "Method for filtering of images with bilateral filters and power images", (8,139,888)
    
23. F. Porikli, "Method for filtering of images with bilateral filters and integral histograms", 8,081,836)
    
24. F. Porikli, A. Ruta, "Method for recognizing traffic signs", (8,041,080)
    
25. O. Tuzel, F. Porikli, "Apparatus for semi-supervised mean-shift", pending, 2009
    
26. F. Porikli, T. Lee, "Method for respiration phase estimation", pending, 2008
27. F. Porikli, P. Pan, "Regression method on Lie algebra for efficient sampling", pending, 2008
    
28. F. Porikli, A. Joshi, "Method for multi-class active learning for classification", pending, 2008
    
29. F. Porikli, R. Li, "Method for image segmentation with shape prior", pending, 2008
    
30. F. Porikli, Q. Yuan, "Method for tracking soft tissue masses in images using directed graphs", (8,121,669)
    
31. F. Porikli, O. Tuzel, "Method and system for detecting and tracking objects in images", (7,961,952)
    
32. Z. Sahinoglu, F. Porikli, "Constructing an energy matrix of a radio signal", (7,916,778)
    
33. F. Porikli, X. Mei, "Jointly registering images while tracking moving objects with moving cameras", (7,856,120)
    
34. F. Porikli, T. Parag, "Method for adaptively boosting classifiers for object tracking", (7,840,061)
    
35. F. Porikli, "Method for filtering images with bilateral filters", (7,835,586)
    
36. F. Porikli, "Method for filtering data with arbitrary kernel filters", (7,826,676)
    
37. F. Porikli, Y. Ivanov, "Method for detecting objects left-behind in a scene", (7,813,528)
    
38. F. Porikli, "Method for generating distance maps using scan lines", (7,809,165)
    
39. F. Porikli, T. Kocak, "Detecting objects in images with covariance matrices", (7,734,097)
    
40. F. Porikli, O. Tuzel, "Method for classifying data using an analytic manifold", (7,724,961)
    
41. F. Porikli, X. Mei, D. Brinkman, "Method for tracking objects in videos using forward and backward tracking (7,756,296)
    
42. F. Porikli, O. Tuzel, "Method for constructing covariance matrices from data features", (7,720,289)
    
43. F. Porikli, J. Katz, "Object segmentation using visible and infrared images", (7,693,331)
    
44. F. Porikli, O. Tuzel, "Detecting moving objects in video by classifying on Riemannian manifolds", (7,899,253),
    
45. F. Porikli, X. Mei, "Image registration using joint spatial gradient maximization", (7,680,303)
    
46. F. Porikli, O. Tuzel, "Method for tracking objects in videos using covariance matrices", (7,620,204)
    
47. F. Porikli, "Method for modeling cast shadows in videos", (7,574,043)
    
48. F. Porikli, "Method of extracting and searching integral histograms of data samples",(7,454,058)
    
49. F. Porikli, "Recovering a non-linear warping function from images", (7,483,572)
50. O. Tuzel, F. Porikli, "Modeling low frame rate videos with Bayesian estimation", (7,466,842)
    
51. F. Porikli, "Usual event detection in a video using object and frame features", (7,426,301)
    
52. F. Porikli, O. Tuzel, "Tracking objects in low frame rate videos", (7,418,113)
    
53. C Wren, F. Porikli, "Modeling scenes in videos using spectral similarity (7,415,164)
    
54. F. Porikli, X. Li, "Traffic event detection in compressed videos", (7,403,664)
    
55. J. Shao, F. Porikli, "Subspace projection based non-rigid object tracking with particle filters", (7,376,246)
    
56. F. Porikli, J. Shao, "Detecting roads in images using feature-based classifiers", (7,359,555)
    
57. F. Porikli, "Foreground detection using intrinsic images", (7,359,552)
    
58. F. Porikli, "Hidden Markov model based object tracking and similarity metrics", (7,263,472)
    
59. F. Porikli, "Image segmentation by base point selection and wavefront propagation", (7,349,573)
    
60. F. Porikli, "Method for determining similarities between data sequences using cross-correlation matrices and deformation functions", (7,328,111)
    
61. F. Porikli, O. Tuzel, D. Brinkman "Adaptive background image updating", (7,224,735)
    
62. Z. Sahinoglu, F. Porikli, F. Matsubara, J. Cukier "Method and system for assigning circuits to a new service request in a communications networks", (7,209,438)
    
63. F. Porikli, H. Sun, A. Divakaran, "Method for segmenting 3D objects from compressed videos", (7,142,602)
    
64. F. Porikli, "Image simplification using a reconstruction filter", (7,103,229)
    
65. F. Porikli, H. Sun, "Method and apparatus for decoding a video bitstreams to reduced spatial resolutions", (7,006,572)
    
66. F. Porikli, Z. Sahinoglu, "Method and system for minimizing error in bandwidth allocation with an optimal number of renegotiations", (7,027,403)
    
67. F. Porikli, "Identifying moving objects in a video using volume growing and change detection masks", (6,904,159)
    
68. F. Porikli, "Method for determining compactness ratios of multiple data and signal sets", (6,885,765)
    
69. F. Porikli, "A method for adaptive threshold assignment using color vector clustering", 2002
    
70. F. Porikli, Y. Wang, "Method for segmenting multi-resolution video objects", (6,859,554)
    
71. P. Keaton, Q. Jiang, F. Porikli, "Digital image edge detection and road network tracking method and system", 7,636,455 – however, originally disclosed as: F. Porikli, T. Keaton, "Method for accurate edge orientation detection from color and multi-channel imagery by using line-to-vector transform", (20030223615)
72. F. Porikli, Y. Wang, C. Swain, disclosed as "Adaptive stripe based patch matching", 1998 (this is my first patent app I wrote yet it was lost under the wheels when AT&T split in around those years)

 

FUN:

• US Citizen
• Skiing, electronic music, ancient history
• C++, C, MATLAB, CUDA, Turbo Pascal, Assembly, OpenCV, OpenGL, DirectX
• 2006 Person of the Year: co-recipient (with 6 billion others, including you!) of Time magazine's Person of the Year Award :-)