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People - Alumni

Deepayan Chakrabarti
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Deepayan Chakrabarti was a PhD student at the Center for Automated Learning and Discovery at CMU. He received his B.Tech. in Computer Science from the Indian Institute of Technology, Kanpur. His research primarily focusses on time series forecasting, and pattern detection in large dynamic graphs.



Shimin Chen
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Shimin Chen received B.E. (1997) and M.E. (1999) degrees in Computer Science and Technology from Tsinghua University, Beijing, China. He was a Ph.D. student in Computer Science at Carnegie Mellon University, working on improving CPU cache performance of core database algorithms.


Debabrata Dash
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Debabrata Dash received a PhD degree 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.


Kun Gao
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Kun Gao received a Bachelor’s degree (2004) from the University of California, Berkeley. He was a Ph.D. student in Computer Science at Carnegie Mellon University, working on staged database systems.



Fan Guo
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Fan Guo received undergraduate degree in computer science from Tsinghua University. From August 2005 to August 2011, he has been 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 received his PhD degree 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.


Stavros Harizopoulos
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Stavros Harizopoulos was PhD student in Computer Science at Carnegie Mellon University and a member of the Parallel Data Laboratory. He received his diploma in electronics and computer engineering from the Technical University of Crete, Chania, Greece (1998). His research interests are in high-performance storage and database systems, with an emphasis on streaming media applications. He is a Lilian Voudouri Foundation fellowship recipient.



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 received a PhD degree at CMU and has been 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 was 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 was a Ph.D. student in Computer Science Department at Carnegie Mellon University until 2011. 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 was 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.



Christopher Palmer
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Christopher Palmer received his B.Math degree from the University of Waterloo (1998) and his M.Sc. degree in Computer Science from Carnegie Mellon University (2000). He was a Ph.D. student in Computer Science at Carnegie Mellon University. His research interests are text clustering, similarity metrics for categorical data, tools for analyzing large graphs and data-mining on the Web. He also took part in a Carnegie Mellon startup, Vivisimo, that develops text clustering software.



Jia-Yu Pan
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Jia-Yu Pan (Tim) received an M.S. degree from National Taiwan University and a B.S. degree from National Chiao Tung University, Taiwan, both in Computer Science. He was a Ph.D. student at Carnegie Mellon University, working on video data mining and multimedia correlation discovery.



Sandeep Pandey
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Sandeep Pandey received undergraduate degree from the Indian Institute of Technology, Bombay. He was 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 was 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.



Spiros Papadimitriou
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Spiros Papadimitriou received a B.Sc. degree in Computer Science from the University of Crete, Heraclion (1998). He was a Ph.D. student at Carnegie Mellon\'s Computer Science Department. His interests include spatial and temporal data mining.



Stratos Papadomanolakis
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Bianca Schröder
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Bianca received her M.S. degree in Computer Science from University of Saarland, Germany, in 1999. She was a PhD student in Computer Science at Carnegie Mellon University advised by Mor Harchol-Balter. Her research interests are in performance analysis and design of computer systems, with a strong focus on database systems.



Minglong Shao
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Minglong Shao received her B.S. degree in Computer Science from Tsinghua University, Bejing, China, in 2000. She was a Ph.D. student in Computer Science Department working with Professor Anastassia Ailamaki.



Vladislav Shkapenyuk
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Jimeng Sun
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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 received a Ph.D. degree 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.



Mengzhi Wang
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Mengzhi Wang received B.S. (1996) and M.S. (1999) degrees in Computer Science from Fudan University, Shanghai, China. She was a Ph.D. student at Carnegie Mellon, working on architecture-aware query processing.



Leejay Wu
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Leejay Wu received his B.Sc. degree in Computer Science from Carnegie Mellon University, where he also receieved a doctoral degree. His primary academic interests include various aspects of data mining, with recent work dealing with nonlinear scaling, feature selection, and function fitting.