HONE: Higher-Order Network Embeddings
arXiv:1801.09303, 2018.
@inproceedings{rossi-HONE-arxiv, author={Ryan A. Rossi and Nesreen K. Ahmed and Eunyee Koh}, title={HONE: Higher-Order Network Embeddings}, booktitle={arXiv:1801.09303}, year={2018}, }
For more recent and complete information, see my Curriculum Vitae.
I'm currently at Adobe Research. My research lies in the fields of machine learning; and spans theory, algorithms, and applications of large complex relational (network/graph) data from social and physical phenomena. Before joining Adobe Research, I had the opportunity to work at a number of industrial, government, and academic research labs including Palo Alto Research Center (Xerox PARC), Lawrence Livermore National Laboratory (LLNL), Naval Research Laboratory (NRL), NASA Jet Propulsion Laboratory (JPL)/California Institute of Technology, University of Massachusetts Amherst, among others.
I earned my Ph.D. and M.S. in Computer Science at Purdue University. My dissertation work focused on relational machine learning and mining of dynamic network data. I'm very honored to be a recipient of the National Science Foundation Graduate Research Fellowship (NSF GRFP), National Defense Science and Engineering Graduate Fellowship (NDSEG), the Purdue Frederick N. Andrews Fellowship, and Bilsland Dissertation Fellowship awarded to Outstanding Ph.D. candidates. I have authored numerous papers at top conferences and journals as well as a number of patents. In addition, I'm also co-founder of the network repository project, the first data repository with interactive visual graph analytics to help researchers find, explore, and understand graph data in real-time over the web.
Our paper entitled: "On Sampling from Massive Graph Streams" accepted at VLDB. Joint work with Nesreen Ahmed, Intel Labs; Nick Duffield, Texas A&M University; and Theodore L. Willke, Intel Labs.
Our paper entitled: "Estimation of Local Subgraph Counts" was presented at IEEE BigData. Joint work with Nesreen Ahmed, Intel Labs; Theodore L. Willke, Intel Labs.
Received an NVIDIA gift aimed at supporting our recent research on relational machine learning (RML; machine learning on graphs).
Presented our research on "Relational Similarity Machines" at KDD MLG 2016. Joint with Rong Zhou and Nesreen Ahmed.
Research paper on "An Interactive Data Repository with Visual Analytics" was published at SIGKDD Explorations. Joint work with Nesreen Ahmed, Purdue University.
Research paper on "Efficient Graphlet Counting for Large Networks" was presented at the IEEE International Conference on Data Mining (ICDM) -- the world's premier research conference in data mining. Joint work with Nesreen Ahmed, Purdue University; Jennifer Neville, Purdue University; Nick Duffield, Texas A&M.
For a complete list of my publications, see
Google Scholar
(Semantic Scholar,
DBLP,
Microsoft Academic
or my Social Graph).
Other items of interest:
My Erdös Number is 3
(Rossi–Duffield–Alon–Erdös).
Mathematics Genealogy.
Slideshare (for a few recent presentations).
My ORCID.
arXiv:1801.09303, 2018.
@inproceedings{rossi-HONE-arxiv, author={Ryan A. Rossi and Nesreen K. Ahmed and Eunyee Koh}, title={HONE: Higher-Order Network Embeddings}, booktitle={arXiv:1801.09303}, year={2018}, }
arXiv:1802.02896, 2018.
@inproceedings{role2vec, author={Ahmed and Rossi and Lee and Kong and Willke and Zhou and Eldardiry}, title={Learning Role-based Graph Embeddings}, booktitle={arXiv:1802.02896}, year={2018}, }
WiML NIPS, 2017.
@inproceedings{ahmed17learning-attr-graphs, author={Nesreen K. Ahmed and Ryan A. Rossi and Rong Zhou and John Boaz Lee and Xiangnan Kong and Theodore L. Willke and Hoda Eldardiry}, title={Inductive Representation Learning in Large Attributed Graphs}, booktitle={WiML NIPS}, year={2017}, }
arXiv:1709.06075, Pages 1-8, 2017.
@inproceedings{lee17-Deep-Graph-Attention, author={John Boaz Lee and Ryan Rossi and Xiangnan Kong}, title={Deep Graph Attention Model}, booktitle={arXiv:1709.06075}, year={2017}, pages={1-8}, }
arXiv:1709.04596, Pages 1-8, 2017.
@inproceedings{ahmed17Gen-Deep-Graph-Learning, author={Nesreen K. Ahmed and Ryan A. Rossi and Rong Zhou and John Boaz Lee and Xiangnan Kong and Theodore L. Willke and Hoda Eldardiry}, title={A Framework for Generalizing Graph-based Representation Learning Methods}, booktitle={arXiv:1709.04596}, year={2017}, pages={1-8}, }
International Conference on Complex Networks (CompleNet), 2018.
@inproceedings{network-classification, author={James P. Canning and Emma E. Ingram and Sammantha Nowak-Wolff and Adriana M. Ortiz and Nesreen K. Ahmed and Ryan A. Rossi and Karl R. B. Schmitt and Sucheta Soundarajan}, title={Network Classification and Categorization}, booktitle={International Conference on Complex Networks (CompleNet)}, year={2018}, }
VLDB, Pages 1430-1441, 2017.
@inproceedings{ahmed17streams, author={Nesreen K. Ahmed and Nick Duffield and Theodore L. Willke and Ryan A. Rossi}, title={On Sampling from Massive Graph Streams}, booktitle={VLDB}, year={2017}, pages={1430-1441}, }
arXiv:1704.08829, Pages 1-11, 2017.
@inproceedings{rossi-deepGL-arxiv, author={Ryan A. Rossi and Rong Zhou and Nesreen K. Ahmed}, title={Deep Feature Learning for Graphs}, booktitle={arXiv:1704.08829}, year={2017}, pages={1-11}, }
arXiv:1710.10335, Pages 1-6, 2017.
@inproceedings{rossi17-sml, author={Ryan A. Rossi and Nesreen K. Ahmed and Hoda Eldardiry and Rong Zhou}, title={Similarity-based Multi-label Learning}, booktitle={arXiv:1710.10335}, year={2017}, pages={1-6}, }
arXiv:1701.01772, Pages 1-14, 2017.
@inproceedings{rossi17graphlet-est, author={Ryan A. Rossi and Rong Zhou and Nesreen K. Ahmed}, title={Estimation of Graphlet Statistics}, booktitle={arXiv:1701.01772}, year={2017}, pages={1-14}, }
PAKDD, Pages 1-12, 2017.
@inproceedings{ahmed2017roles, author={Nesreen K. Ahmed and Ryan A. Rossi and Theodore L. Willke and Rong Zhou}, title={Edge Role Discovery via Higher-order Structures}, booktitle={PAKDD}, year={2017}, pages={1-12}, publisher={Springer}, }
arXiv preprint arXiv:1610.00844, 2016.
@article{ahmed2016revisiting, author={Nesreen K. Ahmed and Ryan A. Rossi and Theodore L. Willke and Rong Zhou}, title={Revisiting Role Discovery in Networks: From Node to Edge Roles}, journal={arXiv preprint arXiv:1610.00844}, year={2016}, }
Proceedings of the AAAI PAIR (Plan, Activity, and Intent Recognition) Workshop, Pages 1-7, 2017.
@inproceedings{ahmed17aaai, author={Nesreen K. Ahmed and Ryan A. Rossi and Theodore L. Willke and Rong Zhou}, title={A Higher-order Latent Space Network Model}, booktitle={Proceedings of the AAAI PAIR (Plan, Activity, and Intent Recognition) Workshop}, year={2017}, pages={1-7}, }
Proceedings of the IEEE International Conference on BigData, Pages 586-595, 2016.
@inproceedings{ahmed16bigdata, author={Nesreen K. Ahmed and Theodore L. Willke and Ryan A. Rossi}, title={Estimation of Local Subgraph Counts}, booktitle={Proceedings of the IEEE International Conference on BigData}, year={2016}, pages={586-595}, }
Knowledge and Information Systems (KAIS), Pages 689-722, 2016.
@article{ahmed2016kais, author={Nesreen K. Ahmed and Jennifer Neville and Ryan A. Rossi and Nick Duffield and Theodore L. Willke}, title={Graphlet Decomposition: Framework, Algorithms, and Applications}, journal={Knowledge and Information Systems (KAIS)}, year={2016}, pages={689-722}, }
Proceedings of the 12th International Workshop on Mining and Learning with Graphs (MLG), Pages 1-8, 2016.
@inproceedings{rossi16rsm, author={Ryan A. Rossi and Rong Zhou and Nesreen K. Ahmed}, title={Relational Similarity Machines}, booktitle={Proceedings of the 12th International Workshop on Mining and Learning with Graphs (MLG)}, year={2016}, pages={1-8}, }
ACM International Conference on Information and Knowledge Management (CIKM), Pages 1-9, 2016.
@inproceedings{rossi16cikm, author={Ryan A. Rossi and Rong Zhou}, title={Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks}, booktitle={ACM International Conference on Information and Knowledge Management (CIKM)}, year={2016}, pages={1-9}, }
KDD BigMine, Pages 16, 2016.
@inproceedings{ahmed16bigmine, author={Nesreen Ahmed and Ted Willke and Ryan A. Rossi}, title={Exact and Estimation of Local Edge-centric Graphlet Counts}, booktitle={KDD BigMine}, year={2016}, pages={16}, }
Social Network Analysis and Mining (SNAM), Pages 30, 2016.
@inproceedings{rossi16factorization, author={Ryan A. Rossi and Rong Zhou}, title={Parallel Collective Factorization for Modeling Large Heterogeneous Networks}, booktitle={Social Network Analysis and Mining (SNAM)}, year={2016}, pages={30}, }
ICDM, Pages 1-10, 2015.
@inproceedings{ahmed2015icdm, author={Nesreen K. Ahmed and Jennifer Neville and Ryan A. Rossi and Nick Duffield}, title={Efficient Graphlet Counting for Large Networks}, booktitle={ICDM}, year={2015}, pages={1-10}, }
Proceedings of the AAAI Conference on Artificial Intelligence, Pages 4383-4384, 2016.
@inproceedings{rossi2016aaai, author={Ryan Rossi and Rong Zhou}, title={Toward Interactive Relational Learning}, booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, year={2016}, pages={4383-4384}, }
SIGKDD Explor., Volume 17, Pages 37-41, Feb 2016.
@article{nr-sigkdd16, author={Ryan A. Rossi and Nesreen K. Ahmed}, title={An Interactive Data Repository with Visual Analytics}, journal={SIGKDD Explor.}, volume={17}, number={2}, year={2016}, pages={37-41}, publisher={ACM}, }
IEEE International Conference on Data Science and Advanced Analytics (DSAA), Pages 1-10, Oct 2015.
@inproceedings{rossi2015dsaa-pcmf, author={Ryan A. Rossi and Rong Zhou}, title={Scalable Relational Learning for Large Heterogeneous Networks}, booktitle={IEEE International Conference on Data Science and Advanced Analytics (DSAA)}, year={2015}, pages={1-10}, }
International AAAI Conference on Web and Social Media (ICWSM), Pages 566-569, 2015.
@inproceedings{ahmed-icwsm15, author={Nesreen K. Ahmed and Ryan A. Rossi}, title={Interactive Visual Graph Analytics on the Web}, booktitle={International AAAI Conference on Web and Social Media (ICWSM)}, year={2015}, pages={566-569}, }
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2015.
@inproceedings{nr-aaai15, author={Ryan A. Rossi and Nesreen K. Ahmed}, title={The Network Data Repository with Interactive Graph Analytics and Visualization}, booktitle={Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI)}, year={2015}, }
SIAM Journal on Scientific Computing (SISC), Volume 37, Pages 28, 2015.
@article{rossi2015pmc-sisc, author={Ryan A. Rossi and David F. Gleich and Assefaw H. Gebremedhin}, title={Parallel Maximum Clique Algorithms with Applications to Network Analysis}, journal={SIAM Journal on Scientific Computing (SISC)}, volume={37}, number={5}, year={2015}, pages={28}, publisher={Society for Industrial and Applied Mathematics (SIAM)}, }
IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 27, Pages 1112-1131, 2015.
@article{rossi2015roles, author={Ryan A. Rossi and Nesreen K. Ahmed}, title={Role Discovery in Networks}, journal={IEEE Transactions on Knowledge and Data Engineering (TKDE)}, volume={27}, number={4}, year={2015}, pages={1112-1131}, publisher={IEEE}, }
Social Network Analysis and Mining, Volume 4, Pages 37, 2014.
@article{rossi2014coloring, author={Ryan A. Rossi and Nesreen K. Ahmed}, title={Coloring Large Complex Networks}, journal={Social Network Analysis and Mining}, volume={4}, number={1}, year={2014}, pages={37}, }
Advances in Knowledge Discovery and Data Mining (PAKDD), Pages 310-322, 2014.
@inproceedings{rossi2014pakdd, author={Ryan A. Rossi}, title={Fast Triangle Core Decomposition for Mining Large Graphs}, booktitle={Advances in Knowledge Discovery and Data Mining (PAKDD)}, year={2014}, pages={310-322}, publisher={Springer}, }
Networking, Pages 1-9, 2013.
@inproceedings{rossi2013topology, author={Ryan A. Rossi and Sonia Fahmy and Nilothpal Talukder}, title={A Multi-Level Approach for Evaluating Internet Topology Generators}, booktitle={Networking}, year={2013}, pages={1-9}, }
Proceedings of the 23rd International Conference on World Wide Web (WWW), 2014.
@inproceedings{rossi2014pmc-www, author={Ryan A. Rossi and David F. Gleich and Assefaw H. Gebremedhin and Mostofa A. Patwary}, title={Fast Maximum Clique Algorithms for Large Graphs}, booktitle={Proceedings of the 23rd International Conference on World Wide Web (WWW)}, year={2014}, }
SIAM Workshop on Network Science, Pages 1-2, 2013.
@inproceedings{rossi2013trianglecores, author={Ryan A. Rossi and David F. Gleich and Assefaw H. Gebremedhin}, title={Triangle Core Decomposition and Maximum Cliques}, booktitle={SIAM Workshop on Network Science}, year={2013}, pages={1-2}, }
Internet Mathematics, Volume 10, Pages 188-217, 2014.
@article{rossi2014dynamical, author={David F. Gleich and Ryan A. Rossi}, title={A Dynamical System for PageRank with Time-Dependent Teleportation}, journal={Internet Mathematics}, volume={10}, number={1-2}, year={2014}, pages={188-217}, }
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining (WSDM), Pages 667-676, 2013.
@inproceedings{rossi2013modeling, author={Ryan A. Rossi and Brian Gallagher and Jennifer Neville and Keith Henderson}, title={Modeling Dynamic Behavior in Large Evolving Graphs}, booktitle={Proceedings of the Sixth ACM International Conference on Web Search and Data Mining (WSDM)}, year={2013}, pages={667-676}, publisher={ACM}, }
Journal of Artificial Intelligence Research (JAIR), Volume 45, Pages 363-441, 2012.
@article{rossi2012transforming, author={Ryan A. Rossi and Luke K. McDowell and David W. Aha and Jennifer Neville}, title={Transforming Graph Data for Statistical Relational Learning}, journal={Journal of Artificial Intelligence Research (JAIR)}, volume={45}, year={2012}, pages={363-441}, publisher={AAAI Press}, }
Algorithms and Models for the Web Graph, Volume 7323, Pages 126-137, 2012.
@article{rossi2012dynamic, author={Ryan A. Rossi and David F. Gleich}, title={Dynamic PageRank using Evolving Teleportation}, booktitle={Algorithms and Models for the Web Graph}, volume={7323}, series={Lecture Notes in Computer Science}, editor={Anthony Bonato and Jeannette Janssen}, year={2012}, pages={126-137}, publisher={Springer}, }
arXiv preprint arXiv:1204.0033, 2012.
@article{rossi2012transforming, author={Rossi and McDowell and Aha and Neville}, title={Transforming graph representations for statistical relational learning}, journal={arXiv preprint arXiv:1204.0033}, year={2012}, }
arXiv preprint arXiv:1111.5312, 2011.
@article{rossi11representations, author={Rossi and Neville}, title={Representations and Ensemble Methods for Dynamic Relational Classification}, journal={arXiv preprint arXiv:1111.5312}, year={2011}, }
Proceedings of the 21st International Conference Companion on World Wide Web (WWW), Pages 997-1006, 2012.
@inproceedings{rossi2012role, author={Ryan Rossi and Brian Gallagher and Jennifer Neville and Keith Henderson}, title={Role-Dynamics: Fast Mining of Large Dynamic Networks}, booktitle={Proceedings of the 21st International Conference Companion on World Wide Web (WWW)}, year={2012}, pages={997-1006}, }
PAKDD, Pages 1-13, 2012.
@inproceedings{rossi2012dynamic-srl, author={Ryan Rossi and Jennifer Neville}, title={Time-evolving Relational Classification and Ensemble Methods}, booktitle={PAKDD}, year={2012}, pages={1-13}, publisher={Springer}, }
SIGKDD SOMA, Pages 89-97, 2010.
@inproceedings{rossi2010modeling, author={Ryan Rossi and Jennifer Neville}, title={Modeling the Evolution of Discussion Topics and Communication to Improve Relational Classification}, booktitle={SIGKDD SOMA}, year={2010}, pages={89-97}, }
AINAW, Volume 1, Pages 745-751, 2007.
Presented in the US, Russia, Japan, Thailand and Canada at various conferences and keynotes.
@inproceedings{rossi2007crick, author={Jean-Louis Lassez and Ryan A. Rossi and Axel E. Bernal}, title={Cricks Hypothesis Revisited: The Existence of a Universal Coding Frame}, booktitle={AINAW}, volume={1}, year={2007}, pages={745-751}, }
New Frontiers in Applied Artificial Intelligence (IEA/AIE), Pages 199-208, 2008.
@article{lassez2008ranking, author={Jean-Louis Lassez and Ryan Rossi and Kumar Jeev}, title={Ranking Links on the Web: Search and Surf Engines}, journal={New Frontiers in Applied Artificial Intelligence (IEA/AIE)}, year={2008}, pages={199-208}, publisher={Springer}, }
Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN), Pages 1068-1074, 2008.
@inproceedings{lassez2008signature, author={Jean-Louis Lassez and Ryan Rossi and Stephen Sheel and Srinivas Mukkamala}, title={Signature based Intrusion Detection using Latent Semantic Analysis}, booktitle={Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN)}, year={2008}, pages={1068-1074}, }
Proceedings of the 25th annual ACM International Conference on Design of Communication (SIGDOC), Pages 155-161, 2007.
@inproceedings{stamey2007dynamic, author={John Stamey and Jean-Louis Lassez and Daniel Boorn and Ryan Rossi}, title={Client-side Dynamic Metadata in Web 2.0}, booktitle={Proceedings of the 25th annual ACM International Conference on Design of Communication (SIGDOC)}, year={2007}, pages={155-161}, }
Computational Intelligence and Intelligent Systems, Pages 128-137, 2009.
@article{rossi2009latent, author={Ryan A. Rossi}, title={Latent Semantic Analysis of the Languages of Life}, journal={Computational Intelligence and Intelligent Systems}, year={2009}, pages={128-137}, publisher={Springer}, }
IEEE Aerospace, Pages 1-11, 2010.
@inproceedings{powell2010scalable, author={Mark W. Powell and Ryan A. Rossi and Khawaja S. Shams}, title={A Scalable Image Processing Framework for Gigapixel Mars and Other Celestial Body Images}, booktitle={IEEE Aerospace}, year={2010}, pages={1-11}, }
10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (CCGrid), Pages 606-611, 2010.
Amazon AWS Case Study: NASA JPL’s Desert Research and Training
@inproceedings{shams2010polyphony, author={Khawaja S. Shams and Mark W. Powell and Tom M. Crockett and Jeffrey S. Norris and Ryan Rossi and Tom Soderstrom}, title={Polyphony: A Workflow Orchestration Framework for Cloud Computing}, booktitle={10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (CCGrid)}, year={2010}, pages={606-611}, }
Proceedings of the 27th ACM International Conference on Design of Communication, Pages 233-238, 2009.
@inproceedings{stamey2009automatically, author={John W. Stamey and Ryan A. Rossi}, title={Automatically Identifying Relations in Privacy Policies}, booktitle={Proceedings of the 27th ACM International Conference on Design of Communication}, year={2009}, pages={233-238}, }
Tech. Report Purdue CS, Pages 1-10, 2013.
@inproceedings{rossi2013modeling-evol, author={Ryan A. Rossi and Sonia Fahmy and Nilothpal Talukder}, title={Modeling the Evolution of the Internet Topology: A Multi-Level Evaluation Framework}, booktitle={Tech. Report Purdue CS}, year={2013}, pages={1-10}, }
arXiv preprint arXiv:1302.6256, Pages 1-9, 2013.
@article{rossi2013parallel-cliques, author={Ryan A. Rossi and David F. Gleich and Assefaw H. Gebremedhin and Mostofa A. Patwary}, title={A Fast Parallel Maximum Clique Algorithm for Large Sparse Graphs and Temporal Strong Components}, journal={arXiv preprint arXiv:1302.6256}, year={2013}, pages={1-9}, }
arXiv preprint arXiv:1210.5802, Pages 1-11, 2012.
@article{rossi2012fastclique, author={Ryan A. Rossi and David F. Gleich and Assefaw H. Gebremedhin and Mostofa A. Patwary}, title={What if CLIQUE were fast? Maximum Cliques in Information Networks and Strong Components in Temporal Networks}, journal={arXiv preprint arXiv:1210.5802}, year={2012}, pages={1-11}, }
DOE Scientific and Technical Information, LLNL-TR-514271, Pages 1-10, 2011.
@inproceedings{rossi2011modeling, author={Ryan A. Rossi and Brian Gallagher and Jennifer Neville and Keith Henderson}, title={Modeling Temporal Behavior in Large Networks: A Dynamic Mixed-Membership Model}, booktitle={DOE Scientific and Technical Information, LLNL-TR-514271}, year={2011}, pages={1-10}, publisher={DOE}, }
JPL Tech. Report, Pages 1-9, 2009.
@inproceedings{rossi2009discovering, author={Ryan A. Rossi}, title={Discovering Latent Graphs with Positive and Negative Links to Eliminate Spam}, booktitle={JPL Tech. Report}, year={2009}, pages={1-9}, }
Purdue University, Pages 163, 2015.
Ph.D. Dissertation, Purdue University
@phdthesis{rossi2015purdue, author={Ryan A. Rossi}, title={Improving Relational Machine Learning by Modeling Temporal Dependencies}, school={Purdue University}, year={2015}, pages={163}, publisher={ProQuest}, }
Patent, 2016.
Patent application filed, USPTO App. #15/179724
@misc{rossi16patent-graphlet-estimation, author={Ryan A. Rossi and Rong Zhou}, title={Fast and Accurate Unbiased Graphlet Estimation}, booktitle={Patent}, year={2016}, yearfiled={2015}, }
Patent, 2016.
Patent application filed
@misc{rossi15patent-hybrid-cpu-gpu-graphlets, author={Ryan A. Rossi and Rong Zhou}, title={Efficient Parallel Hybrid CPU-GPU Graph Mining and Learning via Induced Subgraph Features}, booktitle={Patent}, year={2016}, yearfiled={2016}, }
Patent, 2016.
Patent application filed, USPTO App. #15/183561
@misc{rossi15patent-clique-compression, author={Ryan A. Rossi and Rong Zhou}, title={System And Method For Compressing Graphs Via Cliques}, booktitle={Patent}, year={2016}, yearfiled={2015}, }
Patent, 2016.
Patent application filed, USPTO App. #15/175751
@misc{rossi16patent-localized-visual, author={Ryan A. Rossi and Rong Zhou}, title={Localized Visual Graph Filters for Complex Graph Queries}, booktitle={Patent}, year={2016}, yearfiled={2015}, }
Patent, 2016.
Patent application filed, USPTO App. #14/955965
@misc{rossi16patent-rel-time-series, author={Ryan A. Rossi and Rong Zhou}, title={Computer-implemented System And Method For Relational Time Series Learning}, booktitle={Patent}, year={2016}, yearfiled={2014}, }
Patent, 2015.
Patent application filed, USPTO App. #14/325429
@misc{rossi16patent-pcmf, author={Ryan A. Rossi and Rong Zhou}, title={Parallel Collective Matrix Factorization Framework for Big Data}, booktitle={Patent}, year={2015}, yearfiled={2014}, }
Book ISBN 1329925912, 2009.
@article{introBINF, author={Jean-Louis Lassez and Ryan A. Rossi and Stephen Sheel}, title={Introduction to Bioinformatics Using Action Labs}, journal={Book ISBN 1329925912}, year={2009}, }
Senior Research Scientist, Adobe Research
Member of Research Staff, Palo Alto Research Center
Visiting Researcher, Palo Alto Research Center (Xerox PARC)
Research Fellow, Purdue University (2009-2012)
Research Assistant, Lawrence Livermore National
Laboratory (ISCR)
LLNL Scholar: Cyber Defenders Program (2011-2012)
Research Assistant, Naval Research Laboratory,
AI Research Center
Advisor: David Aha, Co-advisor: Luke McDowell, ONR NREIP
Relational Representation
Discovery in Statistical Relational Learning, (Summer 2010)
Research Assistant, Coastal Carolina University
(2005-2009)
Advisor: Jean-Louis Lassez,
Retired IBM T.J. Watson Research Center
(Mathematics Genealogy Project)
Research Assistant, NASA Jet Propulsion Laboratory, (Summer 2009)
California Institute of Technology, Space Grant/USRP
Fellowship
(Returned to continue my research).
Research Assistant, NASA Jet Propulsion Laboratory, (Spring 2009)
California Institute of Technology, USRP NASA
Fellowship
Advisor: Mark
Powell(Scalable Image Processing) and Khawaja Shams(Cloud Computing)
Research Assistant, University of Massachusetts at
Amherst, KDL, (Summer 2008)
Advisor: David Jensen, Graduate Advisor: Brian Taylor, REU NSF Fellowship
Research Assistant, New Mexico Tech, Institute for
Complex Additive Systems
Advisor: Srinivas
Mukkamala, Senior Research Scientist, ICASA (Summer 2007)
Search Engine Theory,
Instructor, Spring 2008
This course was taught from a machine learning perspective using
a variety of resources and recent papers along with a series of homeworks and projects implementing
the significant parts of a search engine.
Algorithms in Bioinformatics, Teaching
Assistant, Fall 2007
Numerical Methods, Teaching Assistant, Spring 2007
Introduction to Bioinformatics, Teaching Assistant, Fa 2008, Fa/Spr 2007, Spr 2006
Introduction to Algorithm Design II, Teaching Assistant, Spring 2006
Introduction to Algorithm Design I, Teaching Assistant, Spring 2006
As a
teaching assistant I gave lectures and review sessions; developed homeworks, labs, and programs,
held office hours, and maintained course website.
Bioinformatics is the application of computational techniques and tools to analyze and manage biological data. This book provides an Introduction to Bioinformatics through the use of Action Labs. These labs allow students to get experience using real data and tools to solve difficult problems. The book comes with supplementary slides, papers, and tools. The labs use data from Breast Cancer, Liver Disease, Diabetes, SARS, HIV, Extinct Organisms, and many others. The book has been written for first or second year computer science, mathematics, and biology students. The book is published by the Digital University Press. [pdf version] (6.2 MB)
Palo Alto Research Center
Purdue University, Computer Science
Palo Alto Research Center
Ph.D. in Computer Science
Purdue University
Master of Science in Computer Science
Purdue University
Bachelor of Science in Computer Science
CCU