I have over five years of experience as a software engineer, with a degree in Artificial Intelligence, my work mostly consists of developing statistical pattern recognition and machine learning on mobile devices (GPU) and cloud machines. More to follow...
Pattern recognition Job Cost Overview
Typical total cost of oDesk Pattern recognition projects based on completed and fixed-price jobs.
oDesk Pattern recognition Jobs Completed Quarterly
On average, 4 Pattern recognition projects are completed every quarter on oDesk.
Time to Complete oDesk Pattern recognition Jobs
Time needed to complete a Pattern recognition project on oDesk.
Average Pattern recognition Freelancer Feedback Score
Pattern recognition oDesk freelancers typically receive a client rating of 4.84.
I am an experienced data scientist with a background in artificial intelligence and robot vision. I also do software development for complex scientific applications and algorithm development using artificial intelligence, pattern recognition, image processing, statistics, and advanced mathematics techniques. I primarily work in R, Perl, and Python. Have also worked in Lisp, Prolog, C, C++, Java, and Fortran. My experience includes related database design and integration for large complex datasets. In addition to independent work, I also manage software development teams. I also have an additional specialty in assisting customers with the development of government proposals. Responsibilities include storyboarding, organizing, writing, editing, formatting, graphics, project planning, budgeting, forms, and proposal team management. Customers vary in size from startups to Fortune 500 companies and proposal scale varies from SBIRs under $100K to over $100M. Experience with funding agencies including: Army, Air Force, DARPA, DOD, DOE, DOT, Transportation Research Board of the National Research Council, NIST, and USPS. Employment: 6 years as an independent consultant Soar Technology (Small Company) NovoDynamics, Inc. (Startup) Environmental Research Institute of Michigan (Non-Profit Research Institute) Education: Ph.D. Electrical Engineering - Purdue University M.S. Electrical Engineering - Pennsylvania State University B.S. Engineering Science - Pennsylvania State University
I have experience of 3+ years of data mining in different fields like: computer vision, pattern recognition, text mining, natural language processing etc. For last year I took part in some big data projects using hadoop+java and map/reduce pattern. In my work I use python, java, R, c# and sql.
Senior software engineer, team lead with more then 10 years experience in artificial intelligence and machine learnings. C#/C/C++/Scala/R/Octave CUDA/MATLAB/OpenCV/VS/SPSS Ph. D. Also I have team of companions, experts in machine learning and data science fields and we are ready to realize the most ambitious projects in reasonable terms for reasonable money.
I am expert in Signal & Image processing, Machine Learning, pattern recognition and Computer Vision. I have done MS in EE from USC Los Angeles, USA in 2004. I have done PhD in Hyperspectral image processing from University of Antwerpen, Belgium in 2013. I am also working on various freelancing websites since 2005. Following are some of my projects: Projects: C++/OpenCV: 1) Scanned Seismic Graph to Data Conversion. 2) Hyperspectral Image feature extraction. 3) Tracking moving targets using KLT (Best features to track finding) algorithm and triangualtion of best features for final tracking. 4) Face detection (haar cascade algorithm) and recognition (eigen faces algorithm). Projects: Matlab: 1) Detection and Tracking of Swimmers in dynamic pool environment. 2) Detection, tracking and measuring sizes, orientation etc. of bacteria/cell in microscopic videos. 3) Image Deformation measurement from x-rays videos of bones. 4) Image Analysis - Bead extraction from image background, beads are microscopic cells of different types. 5) Hand tracking game for rehabilitation of stroke patients. This game is used to measure and improve the motor skills of hands for the stroke patients. Journal and Conference Publication: • Mahmood Z., Awais, M. A.; Thoonen, G.; Peeters, S. & Scheunders, P., "Contextual subpixel mapping of hyperspectral images making use of a high resolution color image", IEEE J. Sel. Topics Appl. Earth Observations and Remote Sens., 2013, XX, XX • Akhter, M. A.; Mahmood Z., & Scheunders, P., " Hyperspectral image subpixel mapping using Getis index", accepted in WHISPERS2013 25-28 June, Gainesville, Florida, USA. • Mahmood Z., G. Thoonen and P. Scheunders,"Automatic threshold selection for morphological attribute profiles" presented in IGARSS2012 (22-27 July 2012), Munich Germany. • Mahmood Z., G. Thoonen, M. A. Akhter and P. Scheunders, "Subpixel mapping of hyperspectral data using high resolution color images" presented in WHISPERS2012 (4-7 June 2012), Shanghai, China. • Thoonen G., Mahmood Z., S. Peeters, and P. Scheunders, "Multisource classification of color and hyperspectral images using color attribute profiles and composite decision fusion", ", IEEE J. Sel. Topics Appl. Earth Observations and Remote Sens., , 2012, 5, 510 -521. • Mahmood Z., and P. Scheunders, "Enhanced visualization of hyperspectral images", IEEE Geoscience and Remote Sensing letters, vol. 8, no. 5, pp. 869-873, 2011. • Mahmood Z., G. Thoonen, V. De Witte, and P. Scheunders, "Multi-source image classification using color attribute profiles", 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Lisbon, Portugal, pp. 1 - 4, 2011 • Mahmood Z., and P. Scheunders, "Enhanced visualization of hyperspectral images", Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International, pp. 991 -994, July, 2010. • Usman Q. , Ahsan Q., Mahmood Z. and Javed, M.Y., “Fusion of neural network with POC for face recognition”, ICCIT 2007, An International Journal of Research an Innovation, 21-23 November, Gyeongju, South Korea, pp. 154-159.
Top level Augmented Reality/Computer Vision Engineer! I have experience in developing computer vision core algorithms and end-user AR applications for variety of platforms and purposes. I developed an array of tracking algorithms for CAD model based tracking, feature-based SLAM, 2D and 3D registration algorithms, and also took part in large AR software projects for the likes of Volkswagen, Novartis, Toshiba, as well as for smaller clients. Further, I developed one of the world-first AR apps for smart-watches, while working for Metaio GmbH. I am focused on quality and mutual success, communicative and goal oriented, delivering top quality products for my clients. Following is the brief summary of my skills and competences: *** Areas of competence *** Augmented Reality, Computer Vision, Image Processing, Software Development, Consultancy Services *** App/Software types *** Mobile Apps, Wearables' Apps, Desktop Software *** App purpose/functionality *** Industry & Maintenance, Marketing, Retail, Machinery Maintenance, Geo-localization, Social networking integration, Database integration, Server-integration/development *** Programming Languages *** Java, Objective C, C++, Matlab, Python *** Programming Libs and APIs *** Metaio, Vuforia, OpenCV, Point Cloud Library *** Platforms *** Android, iOS (iPad, iPhone), Windows, Linux, Microsoft Kinect, Wearables, Smart-Glasses (smartglasses), AR/VR Glass, Smart-Watches (smartwatches) *** 3D modeling and design tools *** Blender, GIMP, Inkscape
Have worked in garment Suit industry for more than 15 years and very good in making the patterns of all formal wears of Men, women and Kids. And one of the best in making the garments fit well for any ready to wear category. Will be able to supply e-patterns to the clientele, for making samples and bulk production.
M.Sc. in Computer Science focused in Image Processing and Pattern Recognition. I work with Computer Vision since 2012 (2 years+) and I'm specialized in medical image research. Very interested in work with image processing and image analysis in health care and security areas. Yet interested in mobile development with computer vision tasks.
Studied electronic and computer engineering to postgraduate level. Professionally engaged in software development for sixteen years. Excellent analytical, system design and programming skills. Intelligent, quick learner. Comfortable with acquiring new skills on demand. Outstanding written communication skills. Postgraduate studies provided training and experience in pattern recognition (including neural networks), statistical modelling and simulation, spoken language processing, machine learning and software engineering. The above is augmented by work experience in design and implementation of a significant number of custom software solutions.
Homepage: http://www.umariqbal.info/ Having more than three years of experience working in the field of Computer Vision research currently, I am pursuing my PhD in Computer Vision at University of Bonn, Germany. Prior to that, I worked at Nokia Research Center (NRC) as External Computer Vision Researcher for about two years. Alongside, I completed my M.Sc. degree (with distinction) in Information Technology with majors in Image and Video Signal Processing from Tampere University of Technology (TUT), Finland. Previously, I worked as a Research Associate at Computer Vision Research Group (COMVis), COMSATS Institute of Information Technology (CIIT), Pakistan. I also completed my Bachelors of Science in Computer Engineering from CIIT. In general, my interests are Computer Vision, Image and Video Processing, Pattern Recognition and Machine Learning. I have very good programming expertise. In particular, I develop the majority of my computer vision application in C++ using OpenCV and sometime using Python or Matlab.