CV (as of Sept. 2013)
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 Technicolor,October-December '13
I am contributing towards the development of the next generation of personalized TV, movie and human experiences by using graph mining. (Mentors: Jean Bolot, Smriti Bhagat, and Stratis Ioannidis). Research Intern at Microsoft Research,May-August '13
I interned with the Context Learning and User Experience for Search (CLUES), as well as the Adaptive Systems and Interaction (ASI) Groups (Mentors: Eric Horvitz, Paul Bennett). My work was on understanding the browsing behavior of users w.r.t. controversial topics. Result: 1 paper under submission. Mentoring Yu Gong (Masters student) ,Sept. '12-May '13
for her Masters project with the CMU DB group on brain graph mining. Result: 1 publication. 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.
for Database Applications (15-415).
Instructor: Christos Faloutsos. Carnegie Mellon University.
Conference and Journal Reviews
15-812 Semantics of Programming Languages (Stephen Brookes)
10-704 Information Processing and Learning (Aarti Singh, project-based course - Project: On the intersenction between LDPC codes, Graphical Models and Belief Propagation)
15-826: Multimedia Databases and Data Mining (Christos Faloutsos, research and project-based course - Project: Algorithms for Graph Similarity and Subgraph Matching)
10-705/36-705 Intermediate Statistics (Larry Wasserman)
15-750 Graduate Algorithms (Manuel Blum)
15-712 Advanced and Distributed Operating Systems (Dave Andersen, research and project-based course - Project: Adaptive Routing in Friend-to-Friend Networks) Fall 2010:
15-781 Machine Learning (Aarti Singh, project-based course - Project: Belief Propagation as a Method of Classication in Heterogeneous Information Networks)
15-740 Computer Architecture (Onur Mutlu, research and project-based course - Project: Approximate Computing: Application Analysis and Hardware Design)
Other Ph.D. Requirements
Awards and Honors
swimming, fitness fusion, biking, zumba, hiking, canoeing, windsurfing, traveling, cooking, ski, tennis, dancing, reading