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Machine Learning, Networking, Telecommunications Expert Witness

Istvan Jonyer, PhD

Istvan Jonyer, PhD

Sidespin Group
Los Angeles, California 90403

Phone(818) 814-8851

Website https:sidespingroup.com

► Contact Istvan Jonyer, PhD

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Dr. Istvan Jonyer is a scientist, engineer, serial entrepreneur, and investor, with extensive research, engineering, and management experience in various areas of computer science both in academia and with leading technology companies, including Google and Nortel Networks. He currently consults as an expert witness in patent infringement, trade secret misappropriation, and related litigation.

At Google, Dr. Jonyer was responsible for launching Google TV (later Chromecast) devices with OEMs and SoC vendors such as Sony, Samsung, LG, Sharp, Vizio, Logitech, Intel, Marvell, and MediaTek. Earlier, he designed 3G mobile communication systems for Nortel Networks.

Dr. Jonyer was also an assistant professor of computer science at OSU, with an NSF-funded machine learning research program. He published peer reviewed papers in machine learning, networking, and telecommunications.

Dr. Jonyer holds a Ph.D. in machine learning from the University of Texas at Arlington, and an MBA from Carnegie Mellon University.

Areas of Expertise
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Machine learning, artificial intelligence, networking, wireless networks, mobile networks, telecommunications, and streaming media:
• Machine Learning, Artificial Intelligence: Neural networks, deep learning, data mining, clustering, supervised learning, social network analysis.
• Networking and Telecommunications: Internet architecture, Wi-Fi, Bluetooth, Wireless LAN, 3G, 4G, CDMA, TDMA, SMS.
• Cloud Computing: Web application architecture, AWS, Google Cloud, PHP, Python, C/C++, distributed computing.
• Smart TV and Smartphone: Android, iOS, Google TV, Chromecast, Roku, Android TV, YouTube TV.
• Streaming Media: Content delivery, CDN, Edge Caching, Transcoding, Image capture, HLS, DASH.

Dr. Jonyer has a rare combination of academia, startup entrepreneur, corporate background (Google and Nortel) as well as an extensive venture capital background.

Expert Witness
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Dr. Jonyer offers expert witness services in cases involving patent infringement, IPR, trade secret misappropriation, and breach of contract. He has extensive expert witness experience in cases involving Google, Facebook, Apple, Uber, Intel, Cloudflare, Nokia, eBay, Salesforce, Slack, Dell, Roku, and others.

Services

Professional Service:
- Expert reviewer for numerous journals, conferences and magazines, and been a committee member for academic conferences, including AAAI, IEEE, ACM, ICML, ICDM.
- Expert reviewer for national granting organizations, such as the NSF.


Expert Reviewer of Grant Applications and Scientific Publications:
- National Science Foundation, Multiple programs. 2005 - 2007.
- IEEE Transactions on Knowledge and Data Engineering, 2007.
- ACM Symposium on Applied Computing, 2007.
- International Conference on Machine Learning and Applications, 2006.
- IEEE International Conference on Computer and Information Technology, 2006.
- First International Workshop on Semantic Web Applications, 2006.
- International Journal on Artificial Intelligence Tools, 2006, 2007.
- National Science Foundation, Biology directorate, 2005.
- Machine Learning Journal, 2005.
- European Conference on Genetic Programming, 2005.
- The Florida Artificial Intelligence Research Society Conference, 2002-2007.
- Americas Conference on Information Systems, 2005.
- International Conference on Information Technology: Coding and Computing, 2004.
- Journal of Information and Knowledge Management, 2004.
- Special Issue of International Journal of Pattern Recognition and Artificial Intelligence, 2003.
- Pattern Recognition and String Matching. Dechang Chen and Xiuzhen Cheng editors. Kluwer Publishing, 2002.

Organizer:
- I. Jonyer, P. Dupont, T. Oates, and M. Sebban. Workshop on Challenges and Applications of Grammar Induction, in conjunction with the International Conference on Machine Learning, Corvallis, Oregon, June 20-24, 2007.
- I. Jonyer, D. Bisant. Data Mining Special Track, 21st International Florida Artificial Intelligence Research Society Conference, May 15-17, 2008, Coconut Grove, Florida, USA.
- I. Jonyer, D. Bisant. Data Mining Special Track, 20th International Florida Artificial Intelligence Research Society Conference, May 7-9, 2007, Key West, Florida, USA.

Areas of Expertise

Areas Served

All States

Istvan Jonyer, PhD in the Social Networks

LinkedIn PageLinkedIn

Professional Experience

- Head of Global Device Partnerships of Google TV at Google
- Assistant Professor of Computer Science at Oklahoma State University
- Software engineer and architect at Nortel Networks
- Venture capitalist at Sidespin Ventures, NexStar Partners, New Venture Partners, Pittsburgh Equity Partners


Awards & Honors

Best Doctoral Dissertation Award, The University of Texas at Arlington, 2003
Best Paper Award, second place, Florida International Conference for Artificial Intelligence, 2003


Publications

Editor
Special issue on FLAIRS 2007: Machine learning, data mining and neural networks
June 2008, International Journal of Artificial Intelligence Tools, 17(3).
Guest editors: Zdravko Markov, Lawrence Holder, Istvan Jonyer, David Bisant

Hybrid Neurocomputing: Selected Papers from the 2nd International Conference on Hybrid Intelligent Systems (HIS 2002). Neurocomputing, Volume 61, October, 2004.
Edited by A. Abraham, I. Jonyer, E.I. Barakova, R. Jain, and L. Jain

Book Chapters
I. Jonyer, "Graph Grammar Learning” in Mining Graph Data. L.B. Holder & D.J. Cook (editors). Wiley and Sons, 2006.

L.B. Holder, D.J. Cook, J. Gonzalez, and I. Jonyer, "Structural Pattern Recognition in Graphs," D. Chen and X. Cheng (Editors) Pattern Recognition and String Matching, Kluwer Academic Publishers, 2002.

Journal Articles
I.J. Khor, J. Thomas, and I. Jonyer, "Sliding Window Protocol for Secure Group Communication in Ad-Hoc Networks". Journal of Universal Computer Science, Vol.11, No.1, pages 37-55. 2005.

I. Jonyer, L.B. Holder, and D.J. Cook “MDL-Based Context-Free Graph Grammar Induction and Applications". International Journal of Artificial Intelligence Tools, Volume 13, No. 1 pages 65-79, 2004.

D.J. Cook, L.B. Holder, S. Su, R. Maglothin, and I. Jonyer, “Structural Mining of Molecular Biology Data," IEEE Engineering in Medicine and Biology, Special Issue on Advances in Genomics, Volume 20, Number 4, pages 67-74, 2001.

I. Jonyer, L.B. Holder, and D.J. Cook, “Graph-Based Hierarchical Conceptual Clustering,” Journal of Machine Learning Research, Volume 2, pages 19-43, 2001.

I. Jonyer, L.B. Holder, and D.J. Cook, “Graph-Based Hierarchical Conceptual Clustering,” International Journal of Artificial Intelligence Tools, Volume 10, Number 1-2, pages 107-135, 2001.

Conference Articles
M. Solano and I. Jonyer, “Performance Analysis of Evolutionary Search with a Dynamic Restart Policy,” Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, May 7-9, 2007, Key West, Florida, USA.

M. Solano, I. Jonyer, “Towards an optimal restart strategy for genetic programming.”
Proceedings of the Genetic and Evolutionary Computation Conference, July 7-11, 2007. London, England, UK.

I. Jonyer and A. Kikuchi, “Improving Modularity in Genetic Programming using Graph Based Data Mining,” Proceedings of the Nineteenth Annual Florida Artificial Intelligence Research Society, May 2006.

M. Cai, I. Jonyer, and M. Paprzycki, “Improving Parallelism in Structural Data Mining” Proceedings of the Sixth International Conference On Parallel Processing And Applied Mathematics, 2005.

I. Jonyer, P. Apiratikul, and J. Thomas, “Source Code Fingerprinting Using Graph Grammar Induction,” Proceedings of the Eighteenth Annual Florida Artificial Intelligence Research Society, May 2005.

J. Khor, J. Thomas, and I. Jonyer, "Sliding Window Protocol for Group Communication in Ad-Hoc Networks," Proceedings of the Hawaii International Conference on System Sciences, January, 2005.

I. Jonyer, L. B. Holder, and D. J. Cook, "Attribute-Value Selection Based on the Minimum Description Length," Proceedings of the International Conference on Artificial Intelligence, 2004.

A. Gilbert, J. Thomas, and I. Jonyer, "Modeling Work Flow in Hierarchically Clustered Distributed Systems", Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2004, Volume 3.

J. Thomas, T. Alam, and I. Jonyer, "Reducing Latency in Ad Hoc Networks by Pre-Fetching," Proceedings of the International Conference on Pervasive Computing and Communications, 2004.

I. Jonyer, L.B. Holder, and D.J. Cook, “MDL-Based Context-Free Graph Grammar Induction,” Proceedings of the Sixteenth Annual Florida Artificial Intelligence Research Society, 2003.
Best Paper Award, Second Place.

I. Jonyer, L.B. Holder, and D.J. Cook, “Concept Formation Using Graph Grammars,” Proceedings of the Knowledge Discovery in Databases Workshop on Multi-Relational Data Mining, pages 71-79, 2002.

J. Gonzalez, I. Jonyer, L.B. Holder, and D.J. Cook, “Efficient Mining of Graph-Based Data,” Proceedings of the American Association for Artificial Intelligence Workshop on Learning Statistical Models from Relational Data, pages 21-28, 2000.

I. Jonyer, L. B. Holder, and D. J. Cook, “Graph-Based Hierarchical Conceptual Clustering in Structural Databases,” Proceedings of the 7th Conference on Artificial Intelligence and of the 12th Conference on Innovative Applications of Artificial Intelligence, page 1073, 2000.

I. Jonyer, L. B. Holder, and D. J. Cook, “Graph-Based Hierarchical Conceptual Clustering,” Proceedings of the Thirteenth Annual Florida Artificial Intelligence Research Society, pages 91-95, 2000.

I. Jonyer, “Context-Free Graph Grammar Induction Using the Minimum Description Length Principle” Doctoral Dissertation. The University of Texas at Arlington. L.B. Holder, advisor. August, 2003.

I. Jonyer, “Hierarchical Conceptual Clustering Using a Graph-Based Knowledge Discovery System” Master's Thesis. The University of Texas at Arlington. L.B. Holder, advisor. May, 2000.

I. Jonyer, “Study of a Conversational Artificial Intelligence System” Undergraduate Honors Thesis. The University of Texas at Arlington. L.B. Holder, advisor. May, 1999.

Editorials
FLAIRS 2007: Machine learning, data mining and neural networks - Preface
International Journal of Artificial Intelligence Tools, Volume 17(3), pages 411-414. June 2008.
Z. Markov, L.B. Holder, I. Jonyer, and D. Bisant

Special issue on hybrid neurocomputing - Preface
Neurocomputing. Volume 61, pages 1-3, October, 2004.
A. Abraham, E. I. Barakova, R. Jain, I. Jonyer, and L. Jain

Technical Reports
I. Jonyer, J. Kukluk, I. Blader, M. Cai, L. Holder, D. Cook, and I. Blader, “Learning Motifs in Biological Structures Using Node Replacement Graph Grammars,” Technical Report, Oklahoma State University, 2007.

I. Jonyer and N. Samuel “Software Similarity Detection Using Grammatical Fingerprints,” Technical Report, Oklahoma State University, 2006.

I. Jonyer and M. Solano, “Towards a Globally Optimal Restart Policy for Evolutionary Search,” Technical Report, Oklahoma State University, 2006.

Internet Publications
I. Jonyer, “Want to start a company? Work on an internal product at BigCo.” February 6, 2017. https://www.linkedin.com/pulse/want-start-company-work-internal-product-bigco-istvan-jonyer-ph-d-/

I. Jonyer, “Are you expected to write perfect code on your first attempt in tech interviews?” January 25, 2016. https://www.linkedin.com/pulse/software-engineering-job-interview-istvan-jonyer/

I. Jonyer, “The Fable of the Faster Horse” November 12, 2015. https://www.linkedin.com/pulse/fable-faster-horse-istvan-jonyer/

Organizer
I. Jonyer, P. Dupont, T. Oates, and M. Sebban. Workshop on Challenges and Applications of Grammar Induction, in conjunction with the International Conference on Machine Learning, Corvallis, Oregon, June 20-24, 2007.

I. Jonyer, D. Bisant. Data Mining Special Track, 21st International Florida Artificial Intelligence Research Society Conference, May 15-17, 2008, Coconut Grove, Florida, USA.

I. Jonyer, D. Bisant. Data Mining Special Track, 20th International Florida Artificial Intelligence Research Society Conference, May 7-9, 2007, Key West, Florida, USA.

Expert Reviewer of Grant Applications and Scientific Publications
National Science Foundation, Multiple programs. 2005 - 2007.
IEEE Transactions on Knowledge and Data Engineering, 2007.
ACM Symposium on Applied Computing, 2007.
International Conference on Machine Learning and Applications, 2006.
IEEE International Conference on Computer and Information Technology, 2006.
First International Workshop on Semantic Web Applications, 2006.
International Journal on Artificial Intelligence Tools, 2006, 2007.
National Science Foundation, Biology directorate, 2005.
Machine Learning Journal, 2005.
European Conference on Genetic Programming, 2005.
The Florida Artificial Intelligence Research Society Conference, 2002-2007.
Americas Conference on Information Systems, 2005.
International Conference on Information Technology: Coding and Computing, 2004.
Journal of Information and Knowledge Management, 2004.
Special Issue of International Journal of Pattern Recognition and Artificial Intelligence, 2003.
Pattern Recognition and String Matching. Dechang Chen and Xiuzhen Cheng editors. Kluwer Publishing, 2002.


Professional References

Previously retained by:
- Fox Rothschild
- Alston & Bird
- Boies Schiller & Flexner
- Manning
- Morgan Lewis
- Stoel Rives
- Hopkins Carley
- Bursor Fisher
- Stark & Stark
...and more.

References Available Upon Request


Education

Ph.D., Computer Science And Engineering, Dissertation In Machine Learning, The University Of Texas At Arlington
MBA, Carnegie Mellon University, Tepper School Of Business




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