Project Manager Quality
Resume:
EVGENY KAMINSKY, PH.D
Mobile:
E-mail:
Address:
******.********@*****.***
****-* ***** **** **., Thornhill, ON L4J 0C9
HIGHLIGHTS OF QUALIFICATIONS
Video algorithm architect with over 10+ years of consulting experience in multimedia compression and communication for well-known companies.
Combination of in-depth academic education in the field of telecommunications, information theory, image/video compression, processing and analysis and extensive industry experience.
Proven analytical and creative ability in developing multimedia applications.
Significant experience with HEVC/AVC/SVC/VPx video compression.
Algorithm development and optimization in the area of rate control, mode decision, computational control and video transcoding.
C/C++/Matlab programming skills.
A deep experience with various multimedia frameworks such as FFmpeg, Mencoder etc.
Multiple publications in well-known international journals and book chapters.
Proven ability to manage development teams.
Excellent analysis and problem solving skills.
Flexible, adaptable, excellent organizational skills, results-oriented and self-motivated.
ACHIEVEMENTS:
Multimedia Communications
Hands of experience with chunk-based multimedia protocols such as HLS and MPEG-DASH, and extensive experience with the broadcasts use of RUDP protocol such as ZiXi and hybrid TCP/UDP protocols such as Octoshape (acquired by Akamai).
Extensive practical experience in the development of multimedia broadcasting over the Internet architecture using IIS, Wowza, ZiХi and other servers.
Great experience in the development and operation of transcoding systems for VoD and live broadcast channels.
Significant practical experiences in the development of technologies to increase the quality of service (QoS) and to improve video presentation quality.
Image/Video Compression and Manipulation
Vast experience with AVC, HEVC, SVC and VPx including all aspects of the Rate Distortion Optimization, Inter/Intra-Coding, Complexity-Rate Distortion Optimization, Quantization and other.
Extensive experience in codecs tuning and comparison.
Large practical experience with multimedia framework such as FFmpeg and Mencoder and SDKs such as VanguardVideo and MainConcept.
Significant experience in compressed video streams manipulations such as video in video insertion and transcoding in compressed domain.
Experience with real-time adjustable bit-rate Region of Interest (ROI) control, low delay coding, error resilience and computational reduction.
Experience in the development of efficient algorithms for codecs intended for broadcast to mobile devices.
PROFESSIONAL EXPERIENCE
System Architect, Unitech IT Jan 2011- present
Architected reliable systems for broadcast worldwide via the Internet numerous live and VOD H.264/AAC compressed sources based on RUDP, HLS, MPEG2-TS etc. multimedia protocols to improve the QoS for different client devices. It also made it possible to reduce the broadcasting delay from 2-3 minutes to 6-10 seconds.
Tested latest codecs such as VP9 and HEVC for particular hardware and software implementations. I made a comparative analysis of the architecture of these coders and revealed their advantages and disadvantages.
Offered and architected new methods using SVC, SHVC and VPx for cloud virtualization technology.
Developed a system comprising AVC and WMV transcoders located in the cloud and queue management algorithm to transcode several thousands of files per day in different formats.
Optimized video transcoding so with only three bitrates used for the broadcast it was possible to play videos with the highest quality at the various user devices.
Post-Doc in Electrical and Computer Engineering, SDSU Feb. 2010 – Dec. 2010
Research of efficient Error Resilient Video Transmission over Error Prone Heterogeneous Wireless Networks.
Areas of Concentration: Packet Prioritization, Error-Resilient Video Coding, Joint Source-Channel Coding, Video quality monitoring and Packet Loss Visibility Modelling.
Researcher and project manager, consortium NEGEV Oct 2008 – Feb 2010
Personally authored the two winning proposals: “Dynamically Adjustable and Scalable ROI Video Coding” for Optibase and “Video in Video Insertion into a Pre-encoded bit stream” for Harmonic and Mobixell.
Assembled the required teams and successfully managed implementation of the projects
Research Project Contractor and R&D Advisor, Elbit Systems Sep 2007 – Feb 2010
Evaluated new technologies to assure robust wireless AVC and SVC video communications.
Architected new approaches for error-prone heterogeneous mobile ad hoc networks. This involved developing efficient algorithms for real-time adjustable bit-rate and ROI control, ultra-low delay, error resilience and computational reduction, assuring reliable communication over noisy channels on the battlefield.
Project Contractor and Project Manager, LiveU Jun 2007 – Dec 2008
Solved video compression problems for efficient multichannel video transmission over 3G wireless networks.
Analyzed and architected an AVC video codec for error-prone networks. The resulting video presentation quality was improved to the level of non-visible compression artefacts.
Research Project Contractor and Project Manager, RadVision Oct 2006 – Aug 2008
Analysis and architecture design of an H.264/AVC video contents insertion video codec for Intel® processors architectures. The project goal is development of an efficient video codec architecture including bit-rate control, computational reduction (i.e. Intel® IPP etc.) and quality improvement.
Research Project Contractor and Project Manager, Vollee Jun 2006 – Sep 2006
Analysis and architecture design of an efficient M-JPEG video codec over 3G mobile platforms. The project goal was dramatic compression-quality improvement including quantization and Huffman table optimizations.
EDUCATION
Ph.D. in Optimization Methods for Video Coding Ben-Gurion University, Israel 2009
In my PhD dissertation I solved a complicated problem of dynamic computational complexity and bit allocation for optimizing H.264/AVC video compression. This work, and later scientific work, was published in top-tier journals and conferences. The work resulted in an invitation to write the chapter: “Optimization Methods for H.264/AVC Video Coding”, for The Handbook of MPEG Applications: Standards in Practice, John Wiley & Sons, Nov. 2010.
M.Sc in Electrical and Computer Engineering Ben-Gurion University, Israel 2000
B.Sc in Electrical and Computer Engineering Ben-Gurion University, Israel 1996
SELECTED PUBLICATIONS
DCT-domain Coder for Digital Video Applications, Journal of Real-time Image Processing, vol. 5, no. 4, 2010, coauthors A. Ginzburg, O. Hadar.
H.264 encoder based 3D model acquisition and compression for aerial video, IEEE Convention of the Electrical and Electronic Engineers in Israel - IEEEI, 2010, coauthors A. Samochin, H. Guterman.
Dynamically adjustable and scalable ROI video coding, IEEE International Symposium on Broadband Multimedia Systems and Broadcasting - BMSB, 2010, coauthors D. Grois, O. Hadar.
ROI adaptive scalable video coding for limited bandwidth wireless networks, Wireless Days, WD – IFIP, pp. 1-5, 2010, coauthors D. Grois, O. Hadar.
Dynamic Computational Complexity and Bit Allocation for Optimizing H.264/AVC Video Compression, J. Vis. Commun. Image. R., vol. 19, no. 1, 2008, coauthors D. Grois, O. Hadar.
Multi-parameter Method for Analysis and Selection of Motion Estimation Algorithms for Video Compression, Multimed. Tools Appl., vol. 38, no. 1, 2008, coauthor O.Hadar.
Combinatorial Systems Evolution: Example of Standard for Multimedia Information, Informatica, vol. 20, no. 4, 2009, coauthors, M. S. Levin, O. Kruchkov, O. Hadar.
Optimal transrating via DCT coefficients modification and dropping, Information Technology: Research and Education - ITRE, pp. 100-104, 2005, coauthors S. Benyaminovich, O.Hadar.
CURRENT PROJECTS AND IDEAS
Intra prediction
Cloud Video Surveillance.
2D to 3D Conversion.
Clouds in cloud virtualization technology to significantly increase the number of clients served by the CDN.
Hybrid TV.
Interactive TV.
New transcoding technology allowing significantly reduce the CDN size and the necessary bandwidth for data exchange between servers.
Ultra-fast cloud transcoding technology.
New technology which provides reliable high-quality broadcasts with minimal delay for unlimited distance between the server and the client.
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