About Us


Dr. Jonyer, is a scientist, engineer, educator, investor, and serial entrepreneur, with extensive research, development, and management experience in various areas of computer science with leading technology companies. Dr. Jonyer has been a venture capitalist with three different funds with responsibilities covering machine learning, autonomous vehicles, AR/VR, and mobile and streaming media delivery, among others. At Google he was responsible for launching Google TV devices with device OEMs and SoC vendors such as Sony, Samsung, LG, Sharp, Vizio, Logitech, Intel, Marvell, and MediaTek. He designed mobile communication systems for Nortel Networks and evaluated a wide range of telecommunications technologies as a venture capitalist. Dr. Jonyer is a serial entrepreneur with two startups under his belt, and continues to be involved with the startup ecosystem by both investing in and advising early stage startups. He has published 25 peer-reviewed articles, and has presented numerous times to a wide range of audiences, such as boards of directors, at conferences, and as a regular investor panelist. Dr. Jonyer has also served as an expert witness in software-related litigation, such as patent disputes, invalidity, and breach-of-contract matters. Dr. Jonyer holds a Ph.D. in machine learning from the University of Texas at Arlington, and an MBA from Carnegie Mellon University.

What’s in a name?


In table tennis the sidespin loop is a shot that has the ball spinning around the vertical axis, causing the ball to curve as it is flying over to the opponent’s side. Istvan Jonyer, Sr., is credited with inventing this shot and using it so effectively that the rules of the game were changed because of him. From extreme forehand positions he was often able to curve the ball around the net causing the ball to roll onto the table, making the shot unreturnable. We adopted the name Sidespin Group to honor his legacy and to remind us to be game-changing at what we do. Our logo is reminiscent of a paddle moving to hit the ping pong ball. To read more on this, please visit here.


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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, and 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.

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 and D. Bisant.
    Data Mining Special Track, 21st International Florida Artificial Intelligence Research Society Conference,
    May 15‑17, 2008, Coconut Grove, Florida, USA.
  • I. Jonyer and D. Bisant.
    Data Mining Special Track, 20th International Florida Artificial Intelligence Research Society Conference,
    May 7-9, 2007, Key West, Florida, USA.

Research Grants



  • R. Marshment and I. Jonyer principal investigators: Data Mining the National Transit Database.
    Grant by the Federal Transit Administration, United States Department of Transportation. 2005 - 2008.
  • I. Jonyer principal investigator: Analyzing MicroArray Gene Expression Data Using Graph Grammar Induction.
    Grant by the National Science Foundation EPSCoR program and the Oklahoma State Regents for Higher Education. 2005.
  • I. Jonyer principal investigator: Detecting Collusion and Plagiarism in Programming Assignments in Computer Science and MSIS.
    College of Arts and Sciences, Oklahoma State University, Dean's Incentive Grant. 2005.
  • I. Jonyer principal investigator: Automated Synthesis of Quantum Dot Cellular Automaton Circuits.
    College of Arts and Sciences, Oklahoma State University, Dean's Incentive Grant. 2004.