Top-k processing is a well-studied problem with numerous applications that is becoming increasingly relevant with the growing availability of recommendation systems and decision making software on PCs, PDAs and smart-phones. The objective of this seminar is twofold. First, we will delve into the geometric aspects of top-k processing. Second, we will cover complementary features to top-k queries that have a strong geometric nature. The seminar will close with insights in the effect of dimensionality on the meaningfulness of top-k queries, and interesting similarities to nearest neighbor search.
Kyriakos Mouratidis was born in Greece in 1980. He completed his B.Sc. in Computer Science at Aristotle University of Thessaloniki (AUTH) in 2002, and his Ph.D. in Computer Science and Engineering at Hong Kong University of Science and Technology (HKUST) in 2006. In the same year, he joined the School of Information Systems at Singapore Management University (SMU), where he is currently an Associate Professor. His main research area is spatial databases, with a focus on continuous query processing, road network databases, and spatial optimization problems. His work in the last 3 years has concentrated on complementary features to top-k queries. A compete CV and publication list can be found at: http://www.mysmu.edu/faculty/kyriakos/
The seminar will start with a broader (historic) overview of the compression problem and, after motivating the rest of the presentation, the first focused part will address the fundamental techniques for spatio-temporal data compression. As it turns out, there are trade-offs between the compression and its impact to different queries, depending on the model adopted. Subsequently, a gentle expansion of the scope will illustrate the peculiarities of compressing mobility data in road networks settings and real-time constraints. The third major portion of the seminar will focus on compression-related aspects in several classes of applications – e.g., tracking in sensor networks; symbolic trajectories; social networks and analytics related (i.e., warehousing). The objective of this advanced seminar is to provide an overview of the techniques and approaches for compressing spatio-temporal data, both in the context of the traditional MOD/STDB settings, as well as other contexts and application-specific scenarios, targeting a broader audience of researchers and practitioners whose research interests are related to the various aspects of managing mobility data.
Goce Trajcevski received his B.Sc. degree from the University of Sts. Kiril i Metodij, and his MS and PhD degrees from the Dept. of Computer Science at the University of Illinois at Chicago. His main research interests are in the areas of spatio-temoral data management, routing and data management in wireless sensor networks, and reactive behavior in dynamic systems. He has published over 95 papers in refereed conferences and journals and received a Best Paper Award at the CoopIS conference (2000), Best Paper Award at the IEEE MDM conference (2010) and Best Short Paper Award at ACM MSWiM conference (2013). His research has been funded by BEA, Northrop Grumman Corp., NSF and ONR. He is presently an associate editor of GeoInformatica and ACM Transactions on Spatial Algorithms and Systems (TSAS). He has served on program and organizing committees in numerous conferences and workshops, PC Co-Chair of ADBIS 2014 and ACM SIGSPATIAL GIS 2016, and a General Co-Chair of ICDE 2014. Currently, he is an Assistant Chairman with the Department of Electrical Engineering and Computer Science at the Northwestern University.
Abstract—Urban informatics is emerging as a new discipline for cities and governments to improve the lives of citizens using information technology. In this advanced seminar, we introduce the key challenges and opportunities in urban informatics, discuss topics in mobile computing, Internet of Things (IoT) and big data analytics, to advance the state-of- the-art in urban informatics and provide interesting use cases. This seminar is designed for academicians, researchers, city administrators/planners, application developers, and research students with background in mobile computing and database systems.
Anirban Mondal is an associate professor at Shiv Nadar University, India. Prior to this, he was a Senior Research Scientist at Xerox Research Centre India. His expertise is in the area of distributed systems with focus on large-scale data management and in domains such as smart cities and financial services. Prior to joining Xerox, he had been an associate professor at IIIT Delhi forthree years. He also had a long tenure of seven years at the University of Tokyo, Japan, where he worked on mobile-P2P incentive models for crowdsourcing applications, indexing of large-scale spatial data and load balancing in large-scale distributed systems. Anirban has numerous publications in key conferences/journals, where he also maintains an active level of involvement as PC Chair/Co-chair, PC member, journal reviewer and keynote/tutorial speaker. His awards include the prestigious JSPS (Japanese Society for Promotion of Science) Fellowship as well as a DST Fast Track project for Young Scientists of India. He is an ACM India Eminent Speaker. Anirban completed his Bachelor's degree in Computer Science and Engineering from IIT Kharagpur (India), and his PhD degree in Computer Science from the National University of Singapore (NUS). He also has an MBA degree from the University of Massachusetts Amherst (UMass), USA. His technological expertise coupled with his business capabilities as well as his ability to create a big vision and execute it to completion in diverse multi-cultural settings make him an exciting innovator.
Praveen Rao is an associate professor in the Department of Computer & Science Electrical Engineering at University of Missouri-Kansas City (UMKC). He is a collaborating faculty with the Center for Health Insights at UMKC. His research interests are in the areas of data management and health informatics. His research, teaching, and outreach activities have been supported by the National Science Foundation (NSF), Air Force Research Lab (AFRL), University of Missouri Research Board, Intel Labs, IBM, and through educational grants from Amazon Web Services and Microsoft Azure. His research findings have been published in journals such as ACM TODS, ACM TOIT, The VLDB Journal, IEEE TKDE, Journal of Web Semantics, and Journal of Biomedical Informatics, and conferences such as VLDB, ICDE, and WWW. He received the IBM Smarter Planet Faculty Innovation Award in 2010. In 2013, he was one of the 14 professors in the world to receive the IBM Big Data and Analytics Faculty Award. In 2015 and 2016, he was awarded the U.S. Air Force Research Lab Summer Faculty Fellowship to conduct research at the Air Force Research Lab in Rome, NY. That same year, he worked as a visiting researcher at Xerox Research Center India (XRCI). He is a Senior Member of the IEEE. Praveen is on the editorial board of Frontiers in ICT (Big Data) journal. He is co-chairing an international workshop on health data management and mining in conjunction with the 2016 IEEE International Conference on Data Engineering. He has served on NSF panels, the program committees of several international conferences and workshops, and as guest editor of two special issues of international journals. He graduated with a B.E. degree in Computer Engineering from the University of Pune, India in 1999. He received M.S. and Ph.D. degrees in Computer Science from the University of Arizona in 2001 and 2007, respectively.
Sanjay Kumar Madria received his Ph.D. in Computer Science from Indian Institute of Technology, Delhi, India in 1995. He is a full professor in the Department of Computer Science at the Missouri University of Science and Technology (formerly, University of Missouri-Rolla, USA) and site director, NSF I/UCRC center on Net-Centric Software Systems. He has published over 225 Journal and conference papers in the areas of mobile data management, Sensor computing, and cyber security and trust management. He won five best papers awards including IEEE MDM 2011, IEEE MDM 2012 and IEEE SRDS 2015. He is the co-author of a book published by Springer in Nov 2003. He serves as steering committee members in IEEE SRDS and IEEE MDM among others and has served in International conferences as a general co-chair (IEEE MDM, IEEE SRDS and others), and presented tutorials/talks in the areas of mobile data management and sensor computing at various venues. His research is supported by several grants from federal sources such as NSF, DOE, AFRL, ARL, ARO, NIST and industries like Boeing. He has also been awarded JSPS (Japanese Society for Promotion of Science) visiting scientist fellowship in 2006 and ASEE (American Society of Engineering Education) fellowship at AFRL from 2008 to 2012. In 2012-13, he was awarded NRC Fellowship by National Academies. He has received faculty excellence research awards in 2007, 2009, 2011, 2013 and 2015 from his university for excellence in research given only once in 2 years. He served as an IEEE Distinguished Speaker, and currently, he is an ACM Distinguished Speaker, and IEEE Senior Member and Golden Core awardee.