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about:universities [2021/01/05 16:23]
andrea.frey 		about:universities [2021/06/25 09:06]
andrea.frey
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-=====Academic Partners===== +====== University Partners ======
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-//<fs x-small>A National Science Foundation Industry University Cooperative Research Center</fs>// +
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 Signal processing, optics and photonics, intelligent machines, biomodelling, and the built environment have been identified as the University’s leading-edge fields of research in the Research Assessment Exercise in 2011. Within its leading-edge fields, TAU aims to rank among the world’s leading research institutions. Signal processing, optics and photonics, intelligent machines, biomodelling, and the built environment have been identified as the University’s leading-edge fields of research in the Research Assessment Exercise in 2011. Within its leading-edge fields, TAU aims to rank among the world’s leading research institutions.
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 The researchers have access to specialized equipment that includes cloud computing infrastructure, virtual reality environments, and big data enterprise storage capabilities. Additional computational resources are available at the Louisiana Optical Network Initiative, which provides one of the most powerful distributed supercomputer resources available to any academic community with over 85 teraflops of computational capacity. The researchers have access to specialized equipment that includes cloud computing infrastructure, virtual reality environments, and big data enterprise storage capabilities. Additional computational resources are available at the Louisiana Optical Network Initiative, which provides one of the most powerful distributed supercomputer resources available to any academic community with over 85 teraflops of computational capacity.
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 DSI provides an effective solution to the challenge of “Big Data” by creating education, training and research programs in data science and analytics integrated with business and industry expertise. The surrounding hub of top financial services, energy, retail sales and distribution, advanced manufacturing, and technology companies provides an ideal environment to utilize a suite of skills only an urban research university can accommodate—Big Data understanding and innovation, business acumen, and technical mastery. DSI provides an effective solution to the challenge of “Big Data” by creating education, training and research programs in data science and analytics integrated with business and industry expertise. The surrounding hub of top financial services, energy, retail sales and distribution, advanced manufacturing, and technology companies provides an ideal environment to utilize a suite of skills only an urban research university can accommodate—Big Data understanding and innovation, business acumen, and technical mastery.
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 +The UVA site of CVDI will pursue a research agenda that features integration of control, decision, and systems modeling concepts with statistical methods, machine learning and pattern recognition.   Areas of concentration include cognitive assistance, information retrieval, natural language processing, latent structure learning, reinforcement learning, deep learning, data fusion and distributed learning, Spatio-temporal models, and agent-based models and simulation. A distinguishing characteristic of the UVA site research agenda is an emphasis on prescriptive modeling and the use of data in the context of decision making in complex systems. Specific research directions identified for initial projects include (1) Systemic risk–analytics addressing fragility and shock propagation in networks, financial or otherwise; (2) Cognitive assistance–analytics that helps humans interact with complex socio-technical systems, such as the law; and (3) Privacy and anonymity–analytic methods that preserve these quantities. Current site members include companies in the fields of manufacturing, IoT and sensing, data privacy and security, finance and banking, national defense, and media.
  
-The UVA site of CVDI will pursue a research agenda that features integration of control, decision, and systems modeling concepts with statistical methods, machine learning and pattern recognition.   Areas of concentration include cognitive assistance, information retrieval, natural language processing, latent structure learning, reinforcement learning, deep learning, data fusion and distributed learning, Spatio-temporal models, and agent-based models and simulation. A distinguishing characteristic of the UVA site research agenda is an emphasis on prescriptive modeling and the use of data in the context of decision making in complex systems. Specific research directions identified for initial projects include (1) Systemic risk–analytics addressing fragility and shock propagation in networks, financial or otherwise; (2) Cognitive assistance–analytics that helps humans interact with complex socio-technical systems, such as the law; and (3) Privacy and anonymity–analytic methods that preserve these quantities. Current site members include companies the fields of manufacturing, IoT and sensing, data privacy and security, finance and banking, national defense, and media.+UVA faculty participation includes more than a dozen members from the three computing and informatics departments–Computer Science, Electrical and Computer Engineering, and Systems and Information Engineering–as well as members the College of Arts & Science (Psychology), McIntire School of Commerce, School of Medicine, and School of Law. This faculty interest reflects the critical importance of data science across all disciplines, as well as the breadth of UVA’s academic and professional degree programs. The UVA CVDI site is a Center of Excellence within UVA’s Data Science Institute, which supports all aspects of data science across the university with a rich array of computational resources that includes a secure cloud for analytics on the medical patient and other sensitive data. UVA has a deep commitment to industry-sponsored research, which accounts for 20% of the total activity in the School of Engineering and Applied Science, and a rich history of engaging with the IUCRC program that includes current or past membership in the Laser Center, NGeNE, WICAT, and BWAC. Other major industry research relationships include being one of three U.S. University Technology Centers for Rolls-Royce Corporation and being a founding university member of the Commonwealth Center for Advanced Manufacturing, which has more than 30 industry members. Founded in 1836, the University of Virginia School of Engineering and Applied Science is the third oldest engineering school at a public university in the U.S., with a distinguished faculty and a student body of 2,300 undergraduates and 615 graduate students.
  
-UVA faculty participation includes more than a dozen members from the three computing and informatics departments–Computer Science, Electrical and Computer Engineering, and Systems and Information Engineering–as well as members the College of Arts & Science (Psychology), McIntire School of Commerce, School of Medicine, and School of Law. This faculty interest reflects the critical importance of data science across all disciplines, as well as the breadth of UVA’s academic and professional degree programs. The UVA CVDI site is a Center of Excellence within UVA’s Data Science Institute, which supports all aspects of data science across the university with a rich array of computational resources that includes a secure cloud for analytics on the medical patient and other sensitive data. UVA has a deep commitment to industry-sponsored research, which accounts for 20% of the total activity in the School of Engineering and Applied Science, and rich history of engaging with the I/UCRC program that includes current or past membership in the Laser Center, NGeNE, WICAT, and BWAC. Other major industry research relationships include being one of three U.S University Technology Centers for Rolls Royce Corporation and being a founding university member of the Commonwealth Center for Advanced Manufacturing, which has more than 30 industry members. Founded in 1836, the University of Virginia School of Engineering and Applied Science is the third oldest engineering school at a public university in the U.S., with a distinguished faculty and a student body of 2,300 undergraduates and 615 graduate students. 
  
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about/universities.txt · Last modified: 2023/08/11 10:20 by andrea.frey

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