Master degree in information/software engineer (110/100 cum laude) (Master project developed at The Burnham Institute, San Diego, CA) Ph.D. in medical image analysis (cum laude) (Leiden University Medical Center) Post-doc personal grant winner (300,000 euros) for a three year research project (young product manager) in neuroimaging analysis Senior post-doc in bioinformatics Head of bioinformatics and data analysis unit Software Engineer Java EE Career goal: further develop project manager skills, preferably within the biomedical sector
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, 3 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 4.81.
╟₪ My main goal is to meet, exceed, WOW, and be the best within my fields of expertise. I can achieve this by being open minded, listening to what my employer needs, and be able to adapt by taking on extra learning as my own initiative to do better. ╟₪ I enjoy being busy, because being busy means I can learn, earn and further enhance my reputation. ╟₪ I am very skilled, efficient and innovative. ╟₪ I will never apply for anything that I do not think I cannot do. "I have found no greater satisfaction than achieving success through honest dealing and strict adherence to the view that, for you to gain, those you deal with should gain as well". - Alan Greenspan.
I am interested in conducting research / algorithm development in the fields of Image Processing, Pattern Recognition and related systems development. My research work has been published in several peer-reviewed journals and I have considerable experience in writing, reviewing and editing articles for scientific and popular science journals. I have considerable experience in MATLAB and C, and in scientific computing in general. I am also an accomplished translator, with more than 10 technical and literature books and numerous scientific articles translated from English to Greek and vice versa. I am also fluent in German. I am highly motivated and I only pursue jobs / projects that I find interesting and worthwhile. Please see my LinkedIn profile for details concerning work experience.
I am an expert in neural computation, artificial neural networks, artificial intelligence. For my Ph.D. I developed a few, very powerful algorithms for top-down, parallel pattern-matching and associative memory. These algorithms are optimal for applications like visual pattern recognition, speech recognition, OCR, automatic language understanding and translation, etc. Since neural computation follows the distributed parallel processing paradigm, these algorithms are extremely efficient on a parallel hardware architecture and support learning in real-time. The user would be able to train the system to recognize any new pattern (image, word, character, sound, etc). My Ph.D. thesis can be google'd under 'Learning Objects, Places and Relations in a Brain Model of Visual Navigation'
I am a teaching assistant at the Babes-Bolyai University, Romania. I am interested in mathematical modeling of machine learning problems. My PhD thesis was focused on reinforcement learning, robotics, inverse kinematics learning. Webpage: http://cs.ubbcluj.ro/~bboti
Integral leader who offers experience in large-scale engineering optimization, including designing, creating, and implementing forward-thinking projects, programs, and processes to achieve continued growth and productivity. Ambitious self-starter who contributes superior attention-to-detail and sharp analytical abilities, demonstrates rapid comprehension of complex technical terms, and regularly takes the initiative to lead value-added projects. Top performer who plans, prioritizes, and manages multiple technical tasks within deadline-driven situations.
I finished my degree, BSc Honours in Computer Science at the University of Leeds, England, at the age of 22. Since then I have had more than 15 years of experience in building large scale applications using Delphi, C++ Builder, Microsoft VB, Microsoft C++ and Microsoft C#. Other skills involve 3D programming with DirectX, OpenGL, and HLSL. I have a very good physics and mathematical background which allow me to easily develop physics simulation systems, 3D visualisation systems and deal with problem solving. I can easily program client/server multitier applications that involve network communications such as TCP/IP programming, SOAP and a lot of other proprietary and standard network protocols, such as POP and Web Services among others. All application programming at some point involves storing data in a persistent storage. I have been writing applications that span over from custom database development, such as binary tree/hash tree indexing units, to using ready made relational database systems such as SQL Server, Interbase, Oracle and Access.
Researching, organizing, collaborating any data, text or numerical, process any data with accuracy and due diligence to aid an organization or business to flourish and prosper. Beginning with setting up your chart of accounts, to researching the demographics, to proofing press releases and proposals, to processing payments, to payroll, to managing accounts payable and receivable, i can take the tasks off your desk. Large and small businesses can benefit from my skills, enthusiasm and versatility.
I am looking for challenging problems that require mathematical skills, ingenuity, programming skills, and deep and original thinking. I worked for a few different companies and always on very interesting problems. I am looking for project in the areas of algorithms, machine learning, probability, stochastic methods, signal processing, data compression, predictive methods, mathematical methods in finance, high frequency trading strategies, genetic algorithms. risk analysis, adaptive learning algorithms, discovery of patterns, data analysis, evolutionary computation. Learning classifiers, wavelets and all preditictive methods ( svm, hidden Markov models, neural networks) applied in financial markets. I spent also a lot of time developing trading strategies in different markets, using machine learning algorithms, genetic programming. My favorite tools are matlab and R.