Cyrus Shahabi is an Iranian-American computer scientist and a 2003 recipient of the Presidential Early Career Award for Scientists and Engineers. [1]
Shahabi received his bachelor's degree in computer engineering from the Sharif University of Technology in 1989, followed by a master's degree and PhD in computer science from the University of Southern California (USC) in May 1993 and August 1996 respectively. He currently serves as director of the Integrated Media Systems Center and the Information Laboratory at USC.[ citation needed ]
Shahabi received an Okawa Foundation Research Grant for Information and Telecommunications in 2001, a National Science Foundation CAREER award in 2002, a Presidential Early Career Award for Scientists and Engineers in 2003, and the Association for Computing Machinery Distinguished Scientist award in 2009. He is a fellow of the Institute of Electrical and Electronics Engineers and is the author or co-author of more than 300 peer-reviewed articles. [2]
Shahabi’s research is in the area of information management. He is mainly known for his contributions to the field of geospatial information management. Under this area, he has made contributions in several subareas, notably: spatial indexing, geospatial information integration, participatory sensing, geo-social environments, location privacy and ride-sharing. Moreover, he pioneered fundamental concepts such as road-network queries, spatial skyline queries and spatial crowdsourcing. He chaired the founding nomination committee of ACM SIGSPATIAL for its first term (2008-2011 term). He is the chair of the ACM SIGSPATIAL (2017-2020 term).
In addition, Shahabi is responsible (along with Xiaoming Tian and Wugang Zhao) for introducing a new type of tree structure named TSA-tree, based on wavelets. [3] His other work includes the Clustered AGgregation (CAG) algorithm, [4] and the Spatial Skyline Query. [5]
Leonard Adleman is an American computer scientist. He is one of the creators of the RSA encryption algorithm, for which he received the 2002 Turing Award. He is also known for the creation of the field of DNA computing.
Paul V. Mockapetris is an American computer scientist and Internet pioneer, who invented the Internet Domain Name System (DNS).
A GIS file format is a standard for encoding geographical information into a computer file, as a specialized type of file format for use in geographic information systems (GIS) and other geospatial applications. Since the 1970s, dozens of formats have been created based on various data models for various purposes. They have been created by government mapping agencies, GIS software vendors, standards bodies such as the Open Geospatial Consortium, informal user communities, and even individual developers.
Geomatics is defined in the ISO/TC 211 series of standards as the "discipline concerned with the collection, distribution, storage, analysis, processing, presentation of geographic data or geographic information". Under another definition, it consists of products, services and tools involved in the collection, integration and management of geographic (geospatial) data. Surveying engineering was the widely used name for geomatic(s) engineering in the past. Geomatics was placed by the UNESCO Encyclopedia of Life Support Systems under the branch of technical geography.
Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases. Content-based image retrieval is opposed to traditional concept-based approaches.
R-trees are tree data structures used for spatial access methods, i.e., for indexing multi-dimensional information such as geographical coordinates, rectangles or polygons. The R-tree was proposed by Antonin Guttman in 1984 and has found significant use in both theoretical and applied contexts. A common real-world usage for an R-tree might be to store spatial objects such as restaurant locations or the polygons that typical maps are made of: streets, buildings, outlines of lakes, coastlines, etc. and then find answers quickly to queries such as "Find all museums within 2 km of my current location", "retrieve all road segments within 2 km of my location" or "find the nearest gas station". The R-tree can also accelerate nearest neighbor search for various distance metrics, including great-circle distance.
Carl Kesselman is an American computer scientist specializing in grid computing technologies. This term was developed by him and professor Ian Foster in the book The Grid: Blueprint for a New Computing Infrastructure. He and Foster are winners of the British Computer Society's Lovelace Medal for their grid work. He is institute fellow at the University of Southern California's Information Sciences Institute and a professor in the Epstein Department of Industrial and Systems Engineering, at the University of Southern California.
Peter Baumann is a German computer scientist and professor at Constructor University, Bremen, Germany, where he is head of the Large-Scale Scientific Information Systems research group in the Department of Computer Science and Electrical Engineering.
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Shrikanth Narayanan is an Indian-American Professor at the University of Southern California. He is an interdisciplinary engineer–scientist with a focus on human-centered signal processing and machine intelligence with speech and spoken language processing at its core. A prolific award-winning researcher, educator, and inventor, with hundreds of publications and a number of acclaimed patents to his credit, he has pioneered several research areas including in computational speech science, speech and human language technologies, audio, music and multimedia engineering, human sensing and imaging technologies, emotions research and affective computing, behavioral signal processing, and computational media intelligence. His technical contributions cover a range of applications including in defense, security, health, education, media, and the arts. His contributions continue to impact numerous domains including in human health, national defense/intelligence, and the media arts including in using technologies that facilitate awareness and support of diversity and inclusion. His award-winning patents have contributed to the proliferation of speech technologies on the cloud and on mobile devices and in enabling novel emotion-aware artificial intelligence technologies.
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Salman A. Avestimehr is a Dean's professor at the Electrical & Computer Engineering and Computer Science Departments of University of Southern California, where he is the inaugural director of the USC-Amazon Center for Secure and Trusted Machine Learning and the director of the Information Theory and Machine Learning (vITAL) research lab. He is also the CEO and Co-Founder of FedML. Avestimehr's contributions in research and publications are in the areas of information theory, machine learning, large-scale distributed computing, and secure/private computing and learning. In particular, he is best known for deterministic approximation approaches to network information theory and coded computing. He was a general co-chair of the 2020 International Symposium on Information Theory (ISIT), and is a Fellow of IEEE. He is also co-authors of four books titled “An Approximation Approach to Network Information Theory”, “Multihop Wireless Networks: A Unified Approach to Relaying and Interference Management”, “Coded Computing”, and “Problem Solving Strategies for Elementary-School Math.”
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