CASCADE brings together a critical mass of inter-disciplinary researchers from academia and industry to innovate towards key enabling data technologies, which will have transformative impacts on major national and international challenges.
Members of the CASCADE LEADERSHIP team have extensive research experience and a long history of productive, nation-wide, collaborations with (a) leaders in THE data management industry, (b) leading IT companies in a WIDE SPECTRUM of SECTORS (including building energy management systems, SECURITY, DIGITAL ENTERTAINMENT, and FRAUD MANAGEMENT) and (c) financial services corporations.
Center Director and ASU Site Director, K. Selçuk Candan, is a Professor of Computer Science and Engineering at ASU. He is also a founding member of ASU’s Information Assurance Center and a senior sustainability scientist at ASU’s Global Institute of Sustainability (GIOS), one of whose missions is to connect researchers with businesses and industry. Candan’s primary research interests are in the area of efficient and scalable management of heterogeneous (such as sensed and streaming media, web and social media, scientific, and enterprise) data and data clouds. He has published over 170 journal and peer-reviewed conference articles, one book on multimedia retrieval, and 16 book chapters. He has 9 patents. At ASU, he led an effort to establish a “Big Data Systems” concentration for the CS MS Program. He has successfully served as the PI or co-PI of numerous grants, including from NSF (5 ongoing), AFOSR, Army Research Office, Mellon Foundation, HP Labs, and JCI. He also served as a Visiting Research Scientist at NEC Laboratories America for over 10 years. He is a member of the Executive Committee of ACM Special Interest Group on Management of Data (SIGMOD) and an ACM Distinguished Scientist. You can find more information at http://aria.asu.edu/candan
Center co-Director and UMD Site Director, Louiqa Raschid, is a Professor at the University of Maryland where she holds appointments in the Smith School of Business, the Institute of Advanced Computer Studies (UMIACS) and the Department of Computer Science. She is a member of the Computational Linguistics and Information Processing (CLIP) Lab, the Database Group and the Center for Bioinformatics and Computational Biology. She has over two decades of experience in data science, a computational paradigm with the potential to fundamentally change the way we exploit data driven decision making to support a broad range of human activities. Raschid has made pioneering contributions towards meeting data integration, data management, and data mining challenges in multiple domains. Her multidisciplinary research spans the fields of computer science to business information systems, with a strong link to important data science applications including the life sciences and health sciences, humanitarian disaster relief, human behavior modeling within social streams, and financial ecosystems. She is leading an effort sponsored by the NSF and the CRA Computing Community Consortium (CCC) to develop community financial cyberinfrastructure and to create a data science for finance research. As part of this effort, she collaborates with JPMorgan Chase, State Street, Bank of America, IBM, and Wells Fargo. She has been a ACM Distinguished Scientist since 2008. You can find more information at http://www.umiacs.umd.edu/users/louiqa/
ASU Site co-Director, Hasan Davulcu, is an Associate Professor at Arizona State University. He has done research in data mining and information assurance. His previous works in data and services integration were published at prestigious ACM and IEEE conferences. Prior to joining ASU, US DOD's Defense Logistics Agency (DLA) funded his work in industry. The intelligent agent product that he developed, while at a software startup, was the recipient of a Long Island Software Achievement Award. Dr. Davulcu's research to improve situation-awareness, security and adaptability of service-oriented architectures has been funded by National Science Foundation (NSF) prestigious early CAREER award and the Office of Naval Research (ONR) MURI award. He is currently the PI for an NSF Partnership for Innovation : Building Innovation Capacity (PFI:BIC) grant “Fraud Detection via Visual Analytics: An Infrastructure to Support Complex Financial Patterns (CFP)-based Real-Time Services Delivery” in which he collaborates with PI, Candan, and Early Warning services LLC, to develop a platform to enable integration and enrichment of limited private financial data with larger publicly available data sets to detect fraud and reduce losses due to fraudulent transactions. His recent research in socio-cultural modeling and analysis is funded by a US Department of Defense (DOD) Minerva Award. You can find more information at http://www.public.asu.edu/~hdavulcu/
ASU Site co-Director, Gail-Joon Ahn, is a Professor of Computer Science and Engineering at the Arizona State University and a member of ASU’s Information Assurance Center. Prof. Ahn is Director of Laboratory of Security Engineering for Future Computing (SEFCOM). He has authored more than 140 refereed research papers. His principal research and teaching interests are in information and systems security. His research foci include security analytics and big data driven security intelligence, vulnerability and risk management, access control, and security architecture for distributed systems. His research has been supported by NSF, NSA, DoD, ARO, ONR, DoE, Bank of America, Apriva, GoDaddy, Hewlett Packard, Microsoft and Robert Wood Johnson Foundation. Currently, Ahn serves in a leading role in the ACTRA (Arizona Cyber Threat Response Alliance) which is independent but closely affiliated with the FBI’s Arizona InfraGard Program and is the operational cybersecurity arm for Arizona InfraGard, and embedded in the Arizona Counter Terrorism Fusion Center (‘ACTIC’) representing Arizona’s private sector on the Executive Board. He is a recipient of Department of Energy CAREER Award and the Educator of the Year Award from the Federal Information Systems Security Educators' Association (FISSEA). Prior to ASU, he was an Associate Professor of College of Computing and Informatics and Founding Director of Center for Digital Identity and Cyber Defense Research (DICyDER) and Laboratory of Information Integration, Security and Privacy (LIISP) at UNC Charlotte. Also, he is a Certified Information Systems Security Professional (CISSP). You can find more information at http://www.public.asu.edu/~gahn1/
UMD Site co-Director, Shawn Mankad, is an Assistant Professor (on leave) in the Robert H. Smith School of Business at the University of Maryland. He is also on the faculty of the Johnson School of Management at Cornell University. Professor Mankad's research focuses on using data analytics to facilitate better decision-making. Specifically, he aims to create and apply data mining, machine learning, and visualization for financial and economic modeling with unstructured and complex structured data. His research has been featured in journals and over a dozen media outlets, including the Wall Street Journal and the Chicago Tribune. He was a consultant with the U.S. Commodity Futures Trading Commission and also worked at the Federal Reserve Board on characterizing market activity with visual analytic tools. His undergraduate degree is from Carnegie Mellon University and he received his PhD in Statistics from the University of Michigan. You can find more information at http://scholar.rhsmith.umd.edu/smankad
International Research Liaison, Maria Luisa Sapino, is an Adjunct Professor of Computer Science and Engineering at the Arizona State University and a Professor of Computer Science at University of Torino, Italy. Her initial contributions to computer science were in the areas of logic programming and artificial intelligence, specifically semantics of negation in logic programming and abductive extensions of logic programs, with applications to the challenges associated with database access control and with heterogeneous data management. Her current research interests are in the areas of heterogeneous (including multimedia) data management, with strong emphasis on tackling the so called "Big Data challenges", including aspects related to the development of efficient techniques for tensor based big data analysis, and on various aspects related to indexing, classification, and querying of a large spectrum of data types. She is currently active in multiple interdisciplinary projects, including building energy data management, epidemic data management, smart cities, and sustainable environments. You can find more information at http://www.di.unito.it/~mlsapino/