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.
Alex Beutel is a Ph.D. candidate in the Computer Science Department at Carnegie Mellon University. He received his Bachelors of Science in Computer Science and Physics from Duke University in 2011. His current research focuses on understanding user behavior through large-scale graph analysis. This ranges from modeling normal behavior of groups of users to spotting suspicious behavior of groups of users, such as lockstep behavior. As a result, his work includes data mining and machine learning to isolate useful patterns, distributed system design to scale algorithms to big data and huge models, and in some cases theory to analyze the limits on what the algorithms can detect.
Alexandros Labrinidis received B.Sc. and M.Sc. degrees in Computer Science from the University of Crete, Greece (1993 & 1995), and M.Sc. and Ph.D degrees in Computer Science from the University of Maryland, College Park (1997 & 2002). He is currently an assistant professor at the University of Pittsburgh and an adjunct assistant professor at Carnegie Mellon University. He is also an associate information director for ACM SIGMOD and an associate editor for SIGMOD Record. His research interests include web-aware data management, mobile data management, data warehousing, p2p data management and sensor networks.
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.
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.
Andy only cares about databases.
B. Aditya Prakash was a PhD student in Computer Science Department at CMU, advised by Prof. Christos Faloutsos. In January 2012, he is joining the Computer Science Department at Virginia Tech as Assistant Professor. 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.
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.
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.
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). His work was on text clustering, similarity metrics for categorical data, tools for analyzing large graphs and data-mining on the Web. He co-founded a Carnegie Mellon startup, Vivisimo, that develops text clustering software. Vivisimo was acquired by IBM, in 2012.
Christos Faloutsos received the B.Sc. degree in Electrical Engineering (1981) from the National Technical University of Athens, Greece and the M.Sc. and Ph.D. degrees in Computer Science from the University of Toronto, Canada. Now he is a Professor at Carnegie Mellon University. He has received the Presidential Young Investigator Award by the National Science Foundation (1989), the Research Contributions Award in ICDM 2006, the SIGKDD Innovations Award (2010), twenty ``best paper'' awards (including two ``test of time'' awards), and four teaching awards. Five of his advisees have attracted KDD or SCS dissertation awards. He is an ACM Fellow, he has served as a member of the executive committee of SIGKDD; he has published over 300 refereed articles, 17 book chapters and two monographs. He holds eight patents and he has given over 35 tutorials and over 15 invited distinguished lectures. His research interests include data mining for graphs and streams, fractals, database performance, and indexing for multimedia and bio-informatics data.
Christos Laspias is a PhD student in the Computer Science Department at Carnegie Mellon University, advised by Prof. Jignesh Patel. He received his Bachelors from the University of Athens, Greece. His research interests are in database systems for modern hardware.
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.
Dana Van Aken is a PhD student in the Computer Science Department at Carnegie Mellon University, advised by Prof. Andy Pavlo. She received a B.S. in Computer Engineering from the University of Washington. Her research involves automatically tuning database systems through machine learning.
Danai Koutra joined the faculty of Univ. Michigan Ann Arbor in 2015. She was a Ph.D. student in the Computer Science Department at Carnegie Mellon University, 2010-2015, advised by Prof. Christos Faloutsos. She received her diploma in Electrical and Computer Engineering from the National Technical University of Athens (NTUA), Greece. Her research interests include large-scale graph mining, graph similarity and matching, graph summarization, and anomaly detection. Danai's research has been applied mainly to social, collaboration and web networks, as well as brain connectivity graphs. She holds 7 patents on bipartite graph alignment.
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.
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.
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.
Dhivya Eswaran is a PhD student in the Computer Science Department at Carnegie Mellon University, advised by Prof. Christos Faloutsos. She received her Bachelors of Technology (with Honors) in Computer Science and Engineering from Indian Institute of Technology, Chennai in 2015. Her research interests are in large-scale graph mining, particularly relational classification and anomaly detection.
Evangelos (Vagelis) Papalexakis is a Ph.D. student at the Computer Science Department at Carnegie Mellon University. He received his Electronic and Computer Engineering diploma and MSc from the Technical University of Crete (TUC) in Chania. His research interests include data mining, tensor analysis, time evolving graph mining and anomaly detection.
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.
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.
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.
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.
Huanchen was a PhD student in the Computer Science Department at Carnegie Mellon University working with David Andersen and Andy Pavlo.
Hyun Ah Song is a Ph.D. student in the Machine Learning Department at Carnegie Mellon University, advised by Professor Christos Faloutsos. She received a B.S. in Environmental Science and Engineering, and M.S. in Electrical Engineering from Ewha Womans University, and KAIST, respectively. She is currently working on theory of learning.
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.
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.
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. He is currently with Google.
Jignesh is a Professor in the Database Group in CSD at Carnegie Mellon University.
Jimeng Sun obtain his Ph.D. from the department of computer science at CMU. His work was on stream mining and tensors. After graduation, he joined IBM, working on healthcare informatics. He is currently an associate Professor at Georgia Tech.
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.
I am a graduate student in the Computer Science Department at Carnegie Mellon University, where I am advised by Andy Pavlo. I am interested in data management, storage technologies, and distributed systems. Currently, we are building a new database management system called Peloton.
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.
Jose Fernando Rodrigues Jr. obtained his BSc, Msc and Phd in Computer Science Department at the University of Sao Paulo in Sao Carlos, Brazil. He is currently a professor there. His research interests include information visualization, data mining, graph analysis and multidimensional indexing methods.
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.
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.
Kijung Shin is a PhD student in the Computer Science Department at Carnegie Mellon University, advised by Prof. Christos Faloutsos. He received his BS in Computer Science and Engineering and BA in Economics from Seoul National University in 2015. His research interests include large-scale data mining, social network analysis, and big data analytics systems.
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.
Leejay Wu received his B.Sc. degree in Computer Science from Carnegie Mellon University, where he also received 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.
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.
Leman Akoglu was a PhD student in the Computer Science Department at Carnegie Mellon University, and graduated in August 2012. She joined the Stony Brook University Department of Computer Science as an Assistant Professor. She received her B.Sc. in Computer Science from Bilkent University, Turkey in 2007. Her primary research interests include mining and modeling large graphs, machine learning applications to data mining, and social network analysis.
Lin Ma is a PhD student in the Computer Science Department at Carnegie Mellon University, where he is advised by Prof. Andy Pavlo. He received his Bachelors degree from Peking University. His research interests are primarily in database management systems, distributed systems and machine learning.
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).
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.
Matt Butrovich is a PhD student in the Computer Science Department at Carnegie Mellon University, advised by Prof. Andy Pavlo. He received a MS in Computer Science from Carnegie Mellon University, and a BS in Computer Science & Engineering from UC Irvine. His research interests lie at the intersection of database management systems and machine learning.
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.
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.
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.
Miguel Araujo is a Ph.D. student in the CMU|Portugal dual Ph.D. program in Computer Science. He received his Master's in Informatics and Computing Engineering from the Faculty of Engineering of the University of Porto in 2012. Graph problems, algorithms and data structures, and data mining are part of his research interests.
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.
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.
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.
Neil Shah is a PhD student in the Computer Science Department at Carnegie Mellon University, advised by Prof. Christos Faloutsos. He received his Bachelors of Science in Computer Science from North Carolina State University in 2013. His research interests are primarily oriented towards large-scale graph mining, particularly with regard to community detection, change summarization and graph understanding.
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.
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.
Nozomi Nori is currently a PhD student in the Language Technologies Institute at School of Computer Science, Carnegie Mellon University. She received her BE and MS in Information Science from the University of Tokyo, Japan in 2010 and 2012, respectively. Her primary research interests include data mining from real-world, large, various structured relational data.
Panos K. Chrysanthis received his BS degree (Physics with concentration in Computer Science, 1982) from the University of Athens, Greece, and his MS and PhD degrees (Computer and Information Sciences, 1991) from the University of Massachusetts at Amherst. He is currently an associate professor at the University of Pittsburgh and an adjunct professor at Carnegie-Mellon University. He received the NSF CAREER Award (1995) and five teaching awards. Besides journal and conference articles, his publications include a book and book chapters. He is an editor of the VLDB Journal and has served as the program co-chair of five workshops. His current research focus is on network-centric and mobile data management, and E-Commerce and workflow technologies.
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).
Polo was a Ph.D. student in the Machine Learning Department at Carnegie Mellon; he graduated in August 2012 and joined the School of Computational Science and Engineering Georgia Tech as an Assistant Professor. He graduated from CMU\'s Masters program in Human-Computer Interaction (HCI) in 2005. 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.
Prashanth Menon is a PhD student in the Computer Science Department at Carnegie Mellon University, co-advised by Prof. Andy Pavlo and Prof. Todd Mowry. He received his Bachelors and Masters from the University of Toronto. His research interests are primarily in databases, modern/new storage technology and distributed systems.
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.
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.
Sam Arch is a PhD student in the Computer Science Department at Carnegie Mellon University, co-advised by Prof. Andy Pavlo and Prof. Todd Mowry. He received his Bachelors from the University of Sydney, Australia. His research interests are in compiler optimizations for database management systems.
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.
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.
Shashank Pandit completed undergraduate degree at the Indian Institute of Technology, Bombay in May 2004. He obtained his Masters in Computer Science at Carnegie Mellon University. His research interests lie in the fields of Information Retrieval, Web search, databases and data mining, and then, bitten by the start-up bug, he co-founded 'buxfer.com', a social payment service. He is currently with Facebook.
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.
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.
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. He is currently faculty at Rutgers University, Business School.
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.
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.
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.
Stratos was a Ph.D candidate in the Department of Electrical and Computer Engineering, Carnegie Mellon University, working on the performance of large-scale scientific database systems, and algorithms and architectures for automated database physical design. He graduated in May 2007.
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.
Todd C. Mowry is an Associate Professor at Carnegie Mellon University. He received an M.S.E.E. (1989) and Ph.D. (1994) from Stanford University. The goal of Professor Mowry's research is is to develop new techniques for designing computer systems (both hardware and software) such that they can achieve dramatic performance breakthroughs at low cost without placing any additional burden on the programmer. He currently leads the STAMPede and Profet projects, and is a co-leader of the Cache-Resident Database (CRDB) project. He recently received a Sloan Research Fellowship and the TR100 Award from MIT's Technology Review magazine.
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.
U Kang was a Ph.D. student in the Computer Science Department at Carnegie Mellon, and graduated in April 2012. Currently he is conducting research at the DB group of the Computer Science Department at Carnegie Mellon. He received his B.Sc. in Computer Science and Engineering from Seoul National University, Korea in 2003. His research interests include (1) finding patterns, anomalies, and evolution of graphs, and (2) mining massive graphs.
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.
Wan Shen Lim is a PhD student in the Computer Science Department at Carnegie Mellon University. Wan graduated from Carnegie Mellon University in May 2020 with a Bachelor of Science (University Honors) in Computer Science with an Algorithms and Complexity Concentration, a Computer Systems Concentration, and a Minor in Mathematical Sciences.
William Zhang is a PhD student in the Computer Science Department at Carnegie Mellon University. William completed his undergraduate in ECE at Carnegie Mellon University.
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.