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SUNMONTUEWEDTHUFRISAT
Conferences, Lectures, & Seminars
Events for July
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CS Colloquium: QoS-based service selection for multi-user composite applications
Mon, Jul 01, 2019 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Adrian Satja Kurdija / Goran Delac / Marin Silic, University of Zagreb
Talk Title: QoS-based service selection for multi-user composite applications
Series: CS Colloquium
Abstract: Cloud computing paradigms such as Service-Based Systems (SBSs) or Software as a Service (SaaS) are based on multiple cloud services providing various functionalities and responding to a number of client requests. For a given task, selecting the actual service instance per request can be an issue, if requirements for multiple Quality of Service (QoS) attributes need to be satisfied for many users simultaneously. The problem becomes more complex if we take into account the compositeness of the users' applications, which are workflows consisting of many tasks, where the QoS properties are calculated over the whole composition. We describe a fast heuristic method for multi-criteria service selection, designed for multi-user composite (multi-task) workflows with the goal of satisfying all, or as many as possible, of the given QoS requirements.
Biography: Adrian Satja Kurdija is a PhD student and research assistant at the University of Zagreb, Faculty of Electrical Engineering and Computing, Consumer Computing Lab. He received a masters degree in Computer Science and Mathematics from the University of Zagreb in 2015. From 2008 to 2010 he participated in International Mathematics Olympiad and International Olympiad in Informatics, winning a bronze and a silver medal. His research focuses on recommender systems for service-oriented architectures. He has published in IEEE Communications Letters, Wireless Networks, European Journal of Operational Research, International Journal of Web and Grid Services, and Knowledge-based systems.
Goran Delac is an assistant professor at the University of Zagreb, Faculty of Electrical Engineering and Computing, Consumer Computing Lab. He received his Ph.D. in Computer Science from the University of Zagreb Faculty of Electrical Engineering and Computing in 2014. His research interests include distributed systems, fault tolerant systems and service-oriented computing and recently mining massive datasets and machine learning. He has published papers in several significant journals according to the Web of Science Citation Index such as: IEEE Transactions on Services Computing, IEEE Transactions on Reliable and Dependable Computing and Knowledge-based systems. Also, he has published at the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. He is a member of the IEEE.
Marin Silic is an assistant professor at the University of Zagreb, Faculty of Electrical Engineering and Computing, Consumer Computing Lab. He received his Ph.D. in Computer Science from the University of Zagreb Faculty of Electrical Engineering and Computing in 2013. His research interests span distributed systems, service-oriented computing, software engineering, software reliability and recently data mining and machine learning. He has published papers in several significant journals according to the Web of Science Citation Index such as: IEEE Transactions on Services Computing, IEEE Transactions on Reliable and Dependable Computing and Knowledge-based systems. Also, he has published at the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. He is a member of the IEEE.
Host: Nenad Medvidovic
Location: Ronald Tutor Hall of Engineering (RTH) - 105
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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NL Seminar Learning from language: Intersections of infant and machine learning
Thu, Jul 11, 2019 @ 11:00 AM - 12:00 PM
Conferences, Lectures, & Seminars
Speaker: Sandy La Tourette, Northwestern University
Talk Title: Learning from language: Intersections of infant and machine learning
Series: Natural Language Seminar
Abstract: Young infants and machine learning algorithms face many of the same fundamental challenges when learning language. Learners often must identify referents in complex scenes, determine the relevance of different object features, and extend labels from previously viewed referents to new ones. In this talk, I examine several ways that infants solve these problems. In some cases, our work reveals word learning mechanisms that are specific to the infant learner, such as labels' influence on object representations. However, other word learning mechanisms, like infants capacity for semi supervised learning, show striking similarities in the ways that infants and machines overcome the challenges of language learning. Both similarities and differences offer intriguing opportunities for mutually informative, interdisciplinary exchanges.
Biography: Sandy LaTourrette is a 5th year Ph.D. student in Cognitive Psychology at Northwestern University, advised by Dr. Sandra Waxman. He is a NSF Graduate Fellow, and his work focuses on the interactions of language learning and cognition across human development.
Host: Xusen Yin
More Info: https://nlg.isi.edu/nl-seminar
Webcast: https://bluejeans.com/499369716Location: CR #689
WebCast Link: https://bluejeans.com/499369716
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: https://nlg.isi.edu/nl-seminar
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NL Seminar Learning from language Intersections of infant and machine learning
Thu, Jul 11, 2019 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Sandy La Tourette, Northwestern University
Talk Title: Learning from language: Intersections of infant and machine learning
Series: Natural Language Seminar
Abstract: Young infants and machine learning algorithms face many of the same fundamental challenges when learning language. Learners often must identify referents in complex scenes, determine the relevance of different object features, and extend labels from previously viewed referents to new ones. In this talk, I examine several ways that infants solve these problems. In some cases, our work reveals word learning mechanisms that are specific to the infant learner, such as labels' influence on object representations. However, other word learning mechanisms, like infants capacity for semi supervised learning, show striking similarities in the ways that infants and machines overcome the challenges of language learning. Both similarities and differences offer intriguing opportunities for mutually informative, interdisciplinary exchanges.
Biography: Sandy LaTourrette is a 5th year Ph.D. student in Cognitive Psychology at Northwestern University, advised by Dr. Sandra Waxman. He is a NSF Graduate Fellow, and his work focuses on the interactions of language learning and cognition across human development.
Host: Xusen Yin
More Info: https://nlg.isi.edu/nl-seminar
Webcast: https://bluejeans.com/499369716Location: Information Science Institute (ISI) - CR #689
WebCast Link: https://bluejeans.com/499369716
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: https://nlg.isi.edu/nl-seminar
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Six Sigma Black BeltMon, Jul 15, 2019 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Abstract: Week 1: June 4-7, 2019
Week 2: July 15-19, 2019
Week 3: August 5-9, 2019
9am - 5pm
Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certificate. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.
NOTE: Participants must provide a windows based computer running Microsoft Office to the seminar.
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
Audiences: Registered Attendees
Contact: Corporate & Professional Programs
Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
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Six Sigma Black Belt
Tue, Jul 16, 2019 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Abstract: Week 1: June 4-7, 2019
Week 2: July 15-19, 2019
Week 3: August 5-9, 2019
9am - 5pm
Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certificate. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.
NOTE: Participants must provide a windows based computer running Microsoft Office to the seminar.
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
Audiences: Registered Attendees
Contact: Corporate & Professional Programs
Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
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Six Sigma Black Belt
Wed, Jul 17, 2019 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Abstract: Week 1: June 4-7, 2019
Week 2: July 15-19, 2019
Week 3: August 5-9, 2019
9am - 5pm
Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certificate. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.
NOTE: Participants must provide a windows based computer running Microsoft Office to the seminar.
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
Audiences: Registered Attendees
Contact: Corporate & Professional Programs
Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
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Six Sigma Black Belt
Thu, Jul 18, 2019 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Abstract: Week 1: June 4-7, 2019
Week 2: July 15-19, 2019
Week 3: August 5-9, 2019
9am - 5pm
Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certificate. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.
NOTE: Participants must provide a windows based computer running Microsoft Office to the seminar.
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
Audiences: Registered Attendees
Contact: Corporate & Professional Programs
Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
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Six Sigma Black Belt
Fri, Jul 19, 2019 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Abstract: Week 1: June 4-7, 2019
Week 2: July 15-19, 2019
Week 3: August 5-9, 2019
9am - 5pm
Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certificate. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.
NOTE: Participants must provide a windows based computer running Microsoft Office to the seminar.
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
Audiences: Registered Attendees
Contact: Corporate & Professional Programs
Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
