People - Students

Leman Akoglu
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Leman Akoglu is a PhD student in the Computer Science Department at Carnegie Mellon University. She received her B.Sc. in Computer Science from Bilkent University, Turkey in 2007. Her primary research interests include machine learning applications to data mining, influence propagation in social networks and graph mining.

Duen Horng "Polo" Chau
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Polo is a Ph.D. student in the Machine Learning Department at Carnegie Mellon. He graduated from CMU\'s Masters program in Human-Computer Interaction (HCI) in 2005. His adviser is Christos Faloutsos. His research interests include: 1) Data mining and machine learning on real-world graphs; (2) Anomaly detection, such as fraud detection in online marketplaces; and (3) Novel tools for visualizing and exploring large graphs.

Debabrata Dash
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Debabrata Dash is a PhD student in Computer Science Department at CMU, advised by Prof. Anastasia Ailamaki. He received his B.Tech. in Computer Science from IIT, Kanpur in 1999. His primary interests are in automatic database design, unstructured databases, and scientific databases.

Fan Guo
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Fan Guo received undergraduate degree in computer science from Tsinghua University. From August 2005, he is a Ph.D. student in Computer Science Department at Carnegie Mellon. His research interests include statistical machine learning and data mining.

Nikos Hardavellas
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Nikos Hardavellas is a PhD student in Computer Science at Carnegie Mellon advised by Prof. Babak Falsafi and Prof. Anastassia Ailamaki. He received his B.Sc. in Computer Science from University of Crete, Heraklion in 1995, and his M.Sc. in Computer Science from University of Rochester, NY in 1997. From 1997 to 2002 he worked for Digital Equipment Corp., Compaq, and HP, where he contributed to the design of 4 generations of Alpha microprocessors and 3 generations of high-end servers. His primary interests are in microprocessor and multiprocessor architecture, and database systems performance.

Ryan Johnson
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Ryan Johnson graduated from Brigham Young University in 2004 with a Bachelor’s degree in Computer Engineering, and completed a M.S. at CMU in 2006. He is currently a PhD candidate at CMU and a member of the StagedDB project. Interests include high performance database systems, computer architecture, and the challenges of exploiting modern chip multiprocessor designs.

Jure Leskovec
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Jure Leskovec received his undergraduate degree in Computer Science from University of Ljubljana, Slovenia. He is currently a Ph.D. student in the Center for Automated Learning and Discovery at Carnegie Mellon University. His research interests include link analysis, large graph and text mining, data mining, machine learning and its applications to real world problems.

Lei Li
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Lei Li received his undergraduate degree in Computer Science from Shanghai Jiao Tong University in 2006. He is currently a Ph.D. student in Computer Science Department at Carnegie Mellon University. He is interested in machine learning and data mining on time series, with applications in social network, Motion Capture, network detection, and bio-images.

Amit Kumar Manjhi
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Amit Kumar Manjhi received a B.Tech. (2001) degree in Computer Science and Engineering from the Indian Institute of Technology, Kanpur. He is currently a Ph.D. student in Computer Science at Carnegie Mellon University, working on distributed stream algorithms and dynamic web applications.

Mary McGlohon
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Mary graduated from the University of Tulsa in 2005 with Bachelor’s degrees in Computer Science and Mathematics. She also worked on AI research in Sandip Sen’s lab, and did research in applied math with Christian Constanda. Her research interests include knowledge discovery for the Web, social networks, machine learning applications to epidemiology, and time series analysis.

Sandeep Pandey
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Sandeep Pandey received undergraduate degree from the Indian Institute of Technology, Bombay. He is currently a Ph.D. student in Computer Science at Carnegie Mellon University. His research interests include web crawling and monitoring, data mining, information retrieval and statistical machine learning.

Ippokratis Pandis
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Ippokratis Pandis is a Ph.D. student of the Electrical and Computer Engineering department of Carnegie Mellon University, advised by Prof. Ailamaki. Ippokratis received his Diploma from the Computer Engineering and Informatics Department of the University of Patras, Greece in 2002 and his M.Sc. from a program jointly offered by Carnegie Mellon University and Athens Information Technology, Greece in 2004. He is member of the Staged database systems project and his research focuses on high-performing database computing on emerging computer architectures.

Shashank Pandit
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Shashank Pandit completed undergraduate degree at the Indian Institute of Technology, Bombay in May 2004. He is currently a Ph.D. student in Computer Science at Carnegie Mellon University. His research interests lie in the fields of Information Retrieval, Web search, databases and data mining.

B. Aditya Prakash
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B. Aditya Prakash is a PhD student in Computer Science Department at CMU, advised by Prof. Christos Faloutsos. He received his B.Tech. in Computer Science from IIT - Bombay in 2007. His research interests include databases and machine learning applications to real world problems in data mining, graph mining and time series analysis.

Hanghang Tong
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Hanghang Tong received his BS and MS from Tsinghua University in July 2002 and July 2005, respectively, both in Automation. He is currently a Ph.D. student in the Center for Automated Learning and Discovery at Carnegie Mellon University, working on graph mining.

Charalampos Tsourakakis
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Charalampos Tsourakakis received his diploma in Electrical and Computer Engineering from the National Technical University of Athens (NTUA), Greece. Currently he is a Ph.D. student in the Machine Learning Department, School of Computer Science at Carnegie Mellon University. His research interests include machine learning and data mining algorithms applied to complex real world problems, mainly in the context of stream and graph mining.