Akshay N Patil

About Me

  • I am a Ph.D. student in the Computer Science Department at Stony Brook University.
  • My advisor is Prof. Jie Gao and I work in the Expressive Networks Lab at CEWIT, Stony Brook.
  • I finished my M.S. in Computer Science from Stony Brook University in May'09. My masters' advisor was Prof. Steven Skiena and I used to work in the Applied Algorithms Lab.
  • I did my undergraduate studies (B.E.) in Computer Engineering from the University of Mumbai, India.

    • Contact Information

    E-mail: akshay [at] cs [d.o.t] sunysb [d.o.t] edu
    Phone: (630) 687-0553

    Professional Experience

    September 2011 to Present: Visiting Researcher, Palo Alto Research Center Inc. (PARC), A Xerox Company, Palo Alto, CA

    May 2011 to August 2011: Research Intern, Palo Alto Research Center Inc. (PARC), A Xerox Company, Palo Alto, CA

    June 2010 to September 2010: Software Engineering Intern, Life Technologies Inc., Foster City, CA

    Teaching Assistantships

    Spring 2010: Discrete Mathematics (CSE 547) & Computer Architecture (CSE 502)
    Fall 2010: Artificial Intelligence (CSE 537)
    Spring 2011: Fundamentals of Computer Networks (CSE534)

    Publications

    Akshay Patil, Juan Liu, Bob Price, Hossam Sharara, and Oliver Brdiczka.
    Modeling Destructive Group Dynamics in On-line Gaming Communities.
    In ICWSM'12: International AAAI Conference on Weblogs and Social Media, Dublin, Ireland, June 4-8, 2012.

    Oliver Brdiczka, Juan Liu, Bob Price, Jianqiang Shen, Akshay Patil, Richard Chow, Eugene Bart, and Nicolas Ducheneaut.
    Proactive Insider Threat Detection through Graph Learning and Psychological Context.
    In WRIT'12: IEEE CS Security and Privacy Workshops, Workshop on Research for Insider Threat, San Francisco, CA, USA, May 24-25, 2012.

    Mikhail Bautin, Charles Ward, Akshay Patil, and Steven Skiena.
    Access: News and Blog Analysis for the Social Sciences.
    In WWW'10: International Conference on World Wide Web, Raleigh, NC, USA, April 26-30, 2010.

    Akshay Patil, Yifei Jiang, Jie Gao, Arnout van de Rijt and Qin Lv.
    Predicting Links from Actor Similarity in a Friendship and Speed-Dating Network.
    In INSNA Sunbelt'10: The International Sunbelt Social Networks Conference XXX, Trento, Italy, June 29-July 4 2010.

    Akshay Patil.
    Poster Presentation: Privacy Aware Blogging.
    Stony Brook University In-house Poster Presentation, Dec 2007.

    Projects

    Anomaly Detection at Multiple Scales (ADAMS)
    Designed and implemented techniques to detect anomalous behavior in World of Warcraft (WoW). Augmented the identification techniques with features computed from the gaming network to successfully predict future anomalous behavior.
    Homophily Based Link Prediction in Social Networks
    Implemented an approach to determine the role played by descriptive attributes in link formation in social networks using statistical techniques. This system allows us to detect trends in link formation in social networks.
    Time-series and Sentiment Analysis of News Sources
    Designed & developed a framework to visualize news, medical & blog data as part of Lydia system. Visualizations included rendering Time-series and Sentiment graphs for entities in the system. The UI is available at TextMap and TextMap Access.
    Relation Extraction in Blogs
    Designed and implemented a technique of extracting meaningful relations from blogs, using standard NLP algorithms. The extracted relations were then used for determining similar content across various blogs. The goal of this project is to determine access control rights in the blogosphere based on similarity between different blogs.
    Analysis of Patents
    Implemented a bunch of algorithms to determine the Patent Portfolio for a company, thereby allowing us to establish the research output for the company.

    Graduate Courses

    Fall 2007
    CSE 548: Analysis of Algorithms, Prof. Jie Gao
    CSE 549: Introduction to Computational Biology, Prof. Steven Skiena
    CSE 691: Information Retrieval and Extraction, Prof. Amanda Stent
    CSE 692: Systems Design in Massive Data, Prof. Qin Lv
    Spring 2008
    CSE 532: Theory of Database Systems, Prof. Himanshu Gupta
    CSE 547: Discrete Mathematics, Prof. Anita Wasilewska
    Fall 2008
    CSE 534: Fundamentals of Computer Networks, Prof. Samir Das
    CSE 537: Artificial Intelligence, Prof. I.V. Ramakrishnan
    Fall 2009
    CSE 502: Computer Architecture, Prof. Larry Wittie
    Spring 2010
    CSE 590: Algorithms for Wireless Sensor Networks, Prof. Jie Gao

    Resume

    Available here.
    Disclaimer: Use of the files linked above are subject to copyrights of respective authors/publishers. Please check before use.