Anastassia Ailamaki received a B.Sc. degree in Computer Engineering (1990) from the Polytechnic School of the University of Patra, Greece, M.Sc. degrees from the Technical University of Crete, Greece and from the University of Rochester, NY, and a Ph.D. degree in Computer Science from the University of Wisconsin-Madison. She was formerly a professor at Carnegie Mellon University. She is now a professor at Ecole Polytechnique Federale de Lausanne (EPFL).
Agma Juci Machado Traina received a B.Sc. degree in Computer Science (1983) from the University of Sao Paulo, BRAZIL, M.Sc. degrees from the ICMSC, University of Sao Paulo, BRAZIL (1987) and a Ph.D. degree in Computational Physics from the IFSC, University of Sao Paulo, BRAZIL. She is currently a professor at Computer Science and Statistics Department , University of Sao Paulo at Sao Carlos, Brazil. Her current research interests include image processing, query by content in medical image databases, image databases, indexing techniques, and human-computer interaction. She was a visiting researcher at Carnegie Mellon University during 1998-1999.
Alceu Costa is a PhD candidate in Computer Science with the Institute of Mathematics and Computer Science (ICMC) at the University of São Paulo (USP) - Brazil. The goal of his PhD research is to investigate image retrieval and knowledge discovery in social media services. His research interests also include computer vision and medical image processing.
Ana Paula received her BSc degree in Computer Science from "Universidade Federal de Sao Carlos" at Sao Carlos, Brazil, and her MSc degree in Computer Science from University of Sao Paulo at Sao Carlos, Brazil. She is currently a PhD student at University of Sao Paulo, Sao Carlos, and her research interests include, mainly, graph mining and database sample techniquies.
André Guilherme Ribeiro Balan received his BSc degree in Computer Science from "Universidade Estadual Paulista" at Rio Claro, Brazil, and his MSc degree in Computer Science from University of Sao Paulo at Sao Carlos, Brazil. He obtained his PhD from University of Sao Paulo, Sao Carlos, and his research interests include image segmentation, content-based image retrieval and machine learning.
Andrew is a postdoctoral researcher with a joint appointment in the computer science departments at Carnegie Mellon University and Brown University. I was previously a member of the Data Science Initiative at Brown, where I also received my Ph.D. in Computer Science.
Bruno Ribeiro is a faculty at Purdue. He was a post-doctoral fellow at Carnegie Mellon University. He received his PhD from the University of Massachusetts Amherst in 2010. His research interests include data mining, statistical modeling and inference, social network analysis, complex systems and networks.
Caetano Traina Junior received a B.Sc. degree in Electrical Engineering (1977) from the University of Sao Paulo, BRAZIL, M.Sc. degrees in Computer Science from University of Sao Paulo, BRAZIL (1982) and a Ph.D. degree in Computational Physics from the University of Sao Paulo, BRAZIL. He is currently a professor at Computer Science and Statistics Department, University of Sao Paulo at Sao Carlos, Brazil. His current research interests include object-oriented databases, DBMS system implementation, conceptual modeling, database models and languages. He was a visiting researcher at Carnegie Mellon University during 1998-1999.
Christopher Olston earned a Bachelor’s degree in Electrical Engineering and Computer Sciences from the University of California, Berkeley with highest honors in 1999. In 2003 he completed his Computer Science Ph.D. from Stanford University. At Stanford, Olston received dual fellowship awards from the National Science Foundation and the Stanford Graduate Fellowship initiative. Prior to attending graduate school, in 1998 he received the Computing Research Association Award for Outstanding Undergraduates.
Christian is a Professor at the University of Munich. He is working on graph mining, clustering, and bio-informatics.
Dr. Claudia Plant is with the German Research Center for Environmental Health, and she is leading the group on Integrative Knowledge Discovery in Databases. The major goal of her research group iKDD is to support life science applications with KDD techniques in order to obtain a comprehensive view on complex lifestyle-related diseases like Diabetes and Alzheimer. The group also contributes to research on parameter-free data mining and on high-performance data mining for massive data. Most of the approaches rely on an information-theoretic perspective relating data mining to data compression: Data mining techniques detect patterns and regularities ideally condensing the data to the most relevant aspects. The more effectively the detected pattens compress the data, the more relevant information we have learned.
Daniel Yoshinobu Takada Chino received his BSc degree in Physics, BSc and MSc degrees in Computer Science from the University of Sao Paulo, Brazil. He is currently a PhD student at University of Sao Paulo, Brazil. His interests include data mining, information retrieval, image processing and time series analysis.
Flavio Figueiredo is a PhD student at Universidade Federal de Minas Gerais (UFMG), he received a Masters degree the same institution. His BSc in Computer Science is from Universidade Federal de Campina Grande (UFCG). He is currently researching data mining for social media applications, specifically focused on popularity prediction. In the past he has researched social tagging, peer-to-peer networks and distributed computing.
Gisele L. Pappa is an Associate Professor at the Computer Science Department of Federal University of Minas Gerais (UFMG). She obtained her PhD in Computer Science at University of Kent in 2007, with the thesis "Automatically Evolving Rule Induction Algorithms using Grammar-based Genetic Programming". She holds a MSc in Applied Informatics from the Catholic University of Parana (PUC-PR), and a BSc in Computer Science from the State University of Maringa (UEM).
Gonzalo Mateos is a visiting researcher at Carnegie Mellon University. He received his PhD in Electrical Engineering from the University of Minnesota in 2012. His research is on algorithms, analysis, and application of statistical signal processing tools to network health monitoring, social, power grid, and Big Data analytics.
Hiroyuki Kitagawa received the B.Sc. degree in physics and the M.Sc. and Dr.Sc. degrees in computer science, all from the University of Tokyo, in 1978, 1980, and 1987, respectively. He is currently a professor in Institute of Information Sciences and Electronics, the University of Tsukuba, Japan. From 1981-1988, he was with NEC research laboratory. He served as Chairperson of IEICE Special Interest Group on Data Engineering, Japan, from 1999-2001. His research interests include integration of heterogeneous information sources, WWW and databases, semi-structured data, multimedia databases, and human interface. He is a member of ACM, IEEE Computer Society, IEICE, IPSJ, and JSSST.
Hyungjeong Yang is currently in the faculty of Chonbuk National University, Korea. She received the B.Sc., M.Sc. and Ph.D. in Computer Science and Statistics from Chonbuk National University, Korea. She worked as a post doctoral researcher at Carnegie Mellon University. She has been a senior researcher in Multimedia DB Research Center at KTech and was a full time lecturer in Dongshin University, Korea. Her main research interests include Multimedia data mining and Bioinformatics.
Jinoh Oh received his BSc and Ph.D. degree in Computer Science from Pohang University of Science and Technology (POSTECH), Korea. His research interests include information retrieval, scalable data mining using modern storage technology.
Jose Fernando Rodrigues Jr. obtained his Phd from the Computer Science Department at the University of Sao Paulo in Sao Carlos, Brazil. He received the BSC and the MSc in Computer Science from the University of Sao Paulo, Brazil, in 2001 and 2003, respectively. He is currently a professor there, and his research interests include information visualization, data mining, graph analysis and multidimensional indexing methods.
Jungmin Seo is a visiting scholar from Samsung and his current research work focuses on databases with modern hardware technology such as non-volatile memory. His research interests include data storage systems, distributed systems and machine learning.
Kazuhiro Saito is a visiting scholar from KDDI, and his research interests include modern databases, distributed systems and data integration technology. His current focus is on a database system with non-volatile memory.
Kensuke Oonuma received his B.Sc. and M.Sc in Mechanical Engineering from the University of Tokyo, Japan in 1996 and in 1998. He is currently a software engineer at Sony Corporation, Japan. His interests include data mining, machine learning, personal recommendation, multivariate analysis, pattern recognition, and information retrieval.
Koji Maruhashi received a B.S. degree and M.S. degree in Biological Science from Kyoto University in 1997 and 1999. He is currently a researcher at Fujitsu Laboratories LTD. His research interests include large scale data mining, time-series data mining, and bioinformatics.
Marcel is a graduate student (M.Sc.) from Karlsruhe Institute of Technology (Kit), Germany. He is visiting the CMU Database Group to write his master thesis. He specializes in Embedded Systems, Operation Systems, Compilers, and has a broad low-level knowledge.
Marcela X. Ribeiro received the B.Sc. degree in computer engineering and the M.Sc. degree in computer science from the Federal University of Sao Carlos, Brazil, and is pursuing the Ph.D. degree in computer science at the Mathematics and Computer Science Institute, University of Sao Paulo at Sao Carlos, Brazil. Her research interests include multimedia data mining, computer-aided diagnosis (CAD), and content-based image retrieval (CBIR).
Meng Jiang received his BSc degree in Computer Science from Tsinghua University, Beijing. He is currently a PhD candidate in Tsinghua, and his research interests include social recommendation and social network analysis.
Michael (Tieying) Zhang was a postdoctoral researcher at Carnegie Mellon University. Prior to coming to CMU, he was an assistant professor at Chinese Academy of Sciences. He received his Ph.D. degree in Computer Science from Chinese Academy of Sciences at 2011. His research interest is in database management systems and distributed systems.
Min-Hee Jang is a postdoctoral research at Carnegie Mellon University. He received the Ph.D. degrees in Computer Science from Hanyang university, Korea at 2012. He also visited the Computer Science Department of Carnegie Mellon University as a Visiting Scholar in 2010. His research interests include data mining, multimedia information retrieval, and social network analysis.
Nan Du holds degrees from Beijing University of Posts and Telecommunications and he is currently a Ph.D. at Georgia Tech. His research interests include complex networks and systems, social network analysis, data mining and distributed computing.
Nikou Günnemann is a visiting researcher at Carnegie Mellon University. She received her Master degree in Computer Science from RWTH Aachen University, Germany. Her primary research interest covers analyzing dynamic data and social networks to detect and describe patterns and trends.
Pedro Olmo Stancioli Vaz De Melo has a degree in Computer Science from Catholic University of Minas Gerais (2003) and Masters in Computer Science from the Pontifical Catholic University of Minas Gerais (2007). He has obtained his Ph.D. from Universidade Federal de Minas Gerais (UFMG). His research interests are time evolving complex networks and game theory applied to wireless sensor networks.
Phillip B. Gibbons is a Principal Research Scientist at Intel Labs (2001-present) and Principal Investigator for the Intel Science and Technology Center for Cloud Computing (2011-present). He received his Ph.D. in Computer Science from the University of California at Berkeley in 1989. He joined Intel Labs (called Intel Research at the time) after 11 years at (AT&T and Lucent) Bell Laboratories. Gibbons is an Adjunct (Full) Professor in the Computer Science Department at Carnegie Mellon University. His research areas include parallel computing, databases, big data, cloud computing, sensor networks, distributed systems and computer architecture. Gibbons' publications span theory and systems, across a broad range of computer science (e.g., papers in ASPLOS, CCS, CIDR, EuroSys, ICDM, JFP, MICRO, NIPS, PACT, PLDI, PODC, PPoPP, SIGMOD, SPAA, ToN and VLDBJ in 2010-2013).
Qiang Qu is a phd scholar supervised by Christian S. Jensen at Aarhus University. His research interests lie in knowledge and data management, touching upon graph mining, social network analysis, and spatial and temporal data management.
Robson Cordeiro received a B.Sc. degree in Computer Science (2002) from the University of Oeste Paulista, Brazil, and a M.Sc. degree in Computer Science (2005) from the Federal University of Rio Grande do Sul, Brazil. He completed his Ph.D. in Computer Science at the University of São Paulo, Brazil, and he is currently an assistant professor there. His current research interests include mining moderate to high-dimensional data, complex data and large graphs.
Sang-Chul Lee is a postdoctoral researcher at Carnegie Mellon University. He received the Ph.D. degrees in Computer Science from Hanyang university, Korea at 2012. His research interests include data mining, information retrieval, and social network analysis.
Sang-Wook Kim received the B.S. degree in Computer Engineering from Seoul National University, Korea at 1989, and earned the M.S. and Ph.D. degrees in Computer Science from Korea Advanced Institute of Science and Technology at 1991 and 1995, respectively. He is currently a Professor at the School of Information and Communications, Hanyang University. From 1999 to 2000, he worked with the IBM T. J. Watson Research Center, Yorktown Heights, New York, as a Post-Doc. He also visited the Computer Science Department of Stanford University as a Visiting Scholar in 1991. His research interests include storage systems, main-memory DBMSs, embedded DBMSs, multimedia information retrieval, data mining, web data analysis, and social network analysis.
Mr. Sebastian Goebl is a doctoral visitor from Ludwig-Maximilians University of Munich. He is working on graph mining, spectral methods and subspace clustering.
Shenghua Liu is an associate professor at Institute of Computing Technology(ICT), Chinese Academic of Sciences (CAS). He is now spending his one-year visit at Computer Science Department, Carnegie Mellon University(CMU), as a research scholar. He is hosted and supervised by Professor Christos Faloutsos. He received his Ph.D. degree from Tsinghua University in 2010, and visited University of California, Los Angeles (UCLA) for more than a year as a Ph.D. student. His current research interests are solving the real data mining and machine learning problems, related to computation and optimization of big graphs and series.
Mr. Srijan Kumar is a PhD student at the University of Maryland, and is visiting CMU for spring of 2016. He received his B.Tech. degree in Computer Science from Indian Institute of Technology, Kharagpur. His interests include detecting malicious users and activities on social networks and large graphs, and developing algorithms for signed social networks.
Stephan Günnemann was a senior researcher at Carnegie Mellon University. He received his PhD in 2012 from RWTH Aachen University, Germany. From October 2012 to September 2014 he has been a post-doctoral fellow at Carnegie Mellon University. His research interests include graph mining, subspace clustering, anomaly detection, and bayesian statistics.
SunHee Kim received the B.S in Multimedia from Korean Educational Development Institute in 2004 and the M.S. degree in Computer Science from Dongguk University, Korea in 2006. She received the Ph. D. degrees in Computer Science from Chonnam National in 2011. She is currently a Postdoctoral researcher at Carnegie Mellon University. Her research interests include Data Mining, Sensor Mining and Bioinformatics.
Tadanobu Furukawa received his Ph.D. degree in Information Science and Technology from the University of Tokyo in 2009. He is currently a researcher at Fujitsu Laboratories LTD. He visited CMU 2014-2015. His research interests include educational data mining, web mining and social network analysis.
Thomas Marshall was a MS student in the Computer Science Department at Carnegie Mellon University, advised by Prof. Andy Pavlo. He received a B.S. in Electrical Engineering and Computer Science from the University of California at Berkeley. His research, in collaboration with Prof. Umut Acar, is on incremental computation in a distributed system.
Tobias Koetter received his Ph.D. in Computer Science from the University of Konstanz in 2012. His research interests include large scale data integration and mining, graph mining, text mining as well as creativity support systems.
Tsubasa Takahashi is a visiting researcher at Carnegie Mellon University sponsored by his employer, NEC Corporation, Japan. He received his Ph.D. in Engineering from University of Tsukuba, Japan at 2014. Since 2010, he has researched about privacy-preserving data mining at NEC. His research interests include massive data mining and data privacy for massive data analytics.
Viktor Leis is a postdoctoral researcher at the Technical University of Munich. He does research on core database topics, including query processing, concurrency control, index structures, storage, and query optimization. Viktor's 2016 dissertation, which was done in the context of the main-memory database system HyPer, received the bi-annual dissertation award of the German-speaking database community (DBIS). He also received the best paper award at ICDE 2014 for his work on hardware transactional memory.
Vlad obtain his Masters degree from CMU, and continued at Rutgers for his Ph.D. He is now with AT&T research. His interest are on large scale database design and implementation.
Wolfgang Gatterbauer received a Dipl.-Ing. degree in Mechanical Engineering from Graz University of Technology, two M.Sc. degrees Electrical Engineering & Computer Science and in Technology & Policy from Massachusetts Institute of Technology, and his PhD in Computer Science from Vienna University of Technology. He is currently an assistant professor at Carnegie Mellon University's Tepper School of Business with a courtesy appointment in the School of Computer Science. His current research interests include inconsistent and uncertain data management, data provenance, and database usability.
Dr. Yasuko Matsubara is a postdoc researcher at Kumamoto University, Japan. Her research focuses on time-series data mining. She obtained her PhD degree from Kyoto University in 2012.
Yasushi Sakurai received a B.S. degree from Department of Electrical Engineering, Doshisha University (1991), and M.E. and Ph.D. degrees from Graduate School of Information Science, Nara Institute of Science and Technology (1996,1999). Since 1998, he has been a researcher at NTT Cyber Space Laboratory, Japan. His research interests includes spatial indexing for high-dimensional data, multimedia databases, and information retrieval. In 2013, he joined the faculty of Kumamoto University as a full professor.
Yingjun Wu is a visiting PhD student from National University of Singapore. His research focuses on designing and implementing transactional database systems and distributed systems.
Yufei Tao obtained his Bachelor’s degree from the South China University of Technology in Aug. 1999, and his PhD from the Hong Kong University of Science and Technology in July 2002. Currently he is a Professor in the CS department of the City University of Hong Kong. His research mainly focuses on the development of efficient query algorithms in spatio-temporal databases (i.e., moving object processing), their analysis, and applying the related techniques to other areas such as temporal, spatial databases, and data warehouses. He has been awarded the Hong Kong Young Scientist Award 2002 (in physical and mathematical science) by HKIS for his work on spatio-temporal data.
Yuto Yamaguchi is currently a tenure-track faculty at AIST (National Institute of Advanced Industrial Science and Technology). He received his Ph.D. degree in Engineering (2014) from University of Tsukuba, Japan. He was a postdoc researcher at University of Tsukuba, a visiting researcher at Carnegie Mellon University (2014-15), and a JSPS research fellow (PD). He is interested in Data Mining and Social Network Analysis.