Danai Koutra
 
CV

Education

  • Carnegie Mellon University, USASep. '10-present
    PhD in Computer Science, Computer Science Department
    • Area: Data Mining and Machine Learning
    • Advisor: Prof. Christos Faloutsos
  • National Technical University of Athens, GreeceSep. '05-July '10
    Diploma, School of Electrical and Computer Engineering (5 yr.)
    • Division: Computer Science
    • GPA: 9.82/10.00 (Summa Cum Laude - ranked 1st)
    • Diploma Thesis: Approximate sequence matching with MapReduce
    • Supervisor: Prof. Timos Sellis
  • Arsakion-Tositsio Ekalis, Greece'93-'94 & '95-'05
  • Coopersale and Theydon Garnon C E Primary School,'94-'95
    London, England

Patents

  1. Method and System for Bi-partite Graph Matching. With Hanghang Tong and David Lubensky, 2013.
  2. Method and System for Cross-Population Community Alignment. With Hang- hang Tong and David Lubensky, 2013.
  3. Method and System for Matching Dynamic Networks. With Hanghang Tong and David Lubensky, 2013.
  4. Method and System for Linking Heterogeneous Networks. With Hanghang Tong and David Lubensky, 2013.
  5. Method and System for Linking Multi-Relational Data sets. With Hanghang Tong and David Lubensky, 2013.
  6. Method and System to Explorative Cross-Network Data Analytics. With Hang- hang Tong and David Lubensky, 2013.
  7. Method and System to Predictive Cross-Network Data Analytics. With Hang- hang Tong and David Lubensky, 2013.

Work Experience

  • Mentoring Yu Gong (Masters student) ,Sept. '12-present
    for her Masters project with the CMU DB group on brain graph mining.
  • Carnegie Mellon University, Graduate Research with
    Christos Faloutsos
    ,Fall '10-present
    Currently, I am working on graph summarization, graph similarity, graph matching, compression, anomaly detection in graphs (using graph analytics or tensors), and data modeling. I have also worked on belief propagation on large heterogeneous graphs, and analysis of P2P data. I am interested in developing scalable algorithms for data mining tasks, and applying machine learning algorithms (e.g., belief propagation) in large, time-evolving graphs in order to find patterns and outliers. My goal is to develop algorithms that help "understanding large graphs".
  • Research Intern at IBM TJ Watson Research Center,May-August '12
    I interned at the Social Networks Analytics Group, and my mentor was Hanghang Tong. My work was on graph matching for data mining applications. Result: 1 paper submitted, 7 patents.
  • Mentoring Jay-Yoon Lee (Masters student) ,May-August '12
    for his summer project with the CMU DB group on anomaly detection.
  • Mentoring Cheng Chang (senior student) ,May-August '12
    for her summer project with the CMU DB group on graph mining.
  • Institute for the Management of Information Systems (IMIS) & National Technical University of Athens (NTUA)Spring '10
    I conducted research for my diploma thesis.

Teaching Experience

  • Teaching Assistant for the course "Artificial Intelligence: Representation and Problem Solving" (15-381/undergraduate)Fall '12
    Instructors: Ariel Procaccia and Emma Brunskill. Carnegie Mellon University. designed the webpage
  • Guest Lecture for Multimedia Databases and Data Mining (15-826) Spring '12
    Carnegie Mellon University.
  • Teaching Assistant for the Graph Analytics Workshop September '12
    Carnegie Mellon University.
  • Guest Lecture on Sorting and Query OptimizationSpring '12
    for Database Applications (15-415).
    Instructor: Christos Faloutsos. Carnegie Mellon University.

Invited Talks

  • University of Maryland, March '12
  • University of Athens, Greece, January '12

Conference and Journal Reviews

  • WWW, Knowledge and Information Systems (KAIS)

Grant Proposals

  • Helped with NSF Proposal "Know Thy Enemy: Data Mining meets Networks for Understanding Malware Dissemination" (Jan. '12), the abstract proposal "What's weird in this tera-scale graph?: Cloud-y" Anomaly Detection" for the HP Labs' Innovation Research Program (Jan. '12), and a white paper on Social Networking (May '12). "

Graduate Coursework

Finished with the Ph.D. program course requirements!! :D

Other Ph.D. Requirements

  • Writing Skills (will complete in Fall '12)
  • ITA Test (Spring '11)

Awards and Honors

  • Award from the Technical Chamber of Greece for ranking 1st among the students of the School of Electrical and Computer Engineering (ECE), 2012.
  • Thomaideio Award - awarded to the top student graduating from the School of Electrical and Computer Engineering (ECE), 2011
  • Kondoulis Award - awarded to the top student graduating from National Technical University of Athens (NTUA), 2011
  • Greek State Scholarships Foundation (IKY) for ranking 1st in the 1rst-2nd-5th year and 2nd in the 2nd year among the students of the School of Electrical and Computer Engineering (>500), NTUA, 2005-2010 (5yr.)
  • Karydogianni Award for excellent performance - awarded to students of the School of Electrical and Computer Engineering and the School of Mechanical Engineering (>3,500), NTUA, 2005-2010 (5yr.)
  • Christos Papakyriakopoulos Award for ranking 1st in Mathematics among the students of the School of Electrical and Computer Engineering, NTUA, 2006-2007
  • Award from the General Secretariat for Youth for ranking 1st among the students of Arsakion-Tositsio Ekalis School, 2004-2005
  • Award from the Hellenic Mathematical Society for excellent performance in "Thalis" math competition, 2000-2001, 2001-2002 (2 yr.)
  • Filekpedeutiki Society Scholarship for ranking 1st among the students of Arsakion-Tositsio Ekalis School, 1999-2000, 2000-2001, 2001-2002, 2002-2003, 2003-2004, 2004-2005 (6 yr.)
  • Award from the Greek Ministry of National Education and Religious Affairs for ranking 1st among the students of Arsakion-Tositsio Ekalis School, 1999-2000, 2000-2001, 2001-2002, 2002-2003, 2003-2004, 2004-2005 (6 yr.)

Technical Skills

  • Programming Languages: C, Java, Pascal, Prolog, SML, PHP, SQL, UNIX shell scripting, Python, Pearl, PLC Automation (STL, Ladder)
  • Platforms: Microsoft Windows, MacOS, Linux and other UNIX variants
  • Tools: Virtutech Simics, Matlab, Mathematica, PSpice, Mathcad, GnuPlot, Siemens Step 7 (PLC Automation)

Hobbies

swimming, fitness fusion, biking, hiking, canoeing, windsurfing, traveling, cooking, ski, tennis, dancing, reading