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X-WR-CALDESC:Events for Northeastern University College of Engineering
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DTSTART;VALUE=DATE:20240423
DTEND;VALUE=DATE:20240426
DTSTAMP:20260511T160329
CREATED:20240108T150008Z
LAST-MODIFIED:20240108T150008Z
UID:41155-1713830400-1714089599@coe.northeastern.edu
SUMMARY:ODSC East 2024
DESCRIPTION:Join COE Graduate Admissions at the Open Data Science Conference in Boston\, MA! Ask your questions about our graduate engineering programs across the U.S. and Canada during the Expo Hall on April 25th. We look forward to meeting you there!
URL:https://coe.northeastern.edu/event/odsc-east-2024/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240425T090000
DTEND;TZID=America/New_York:20240425T094500
DTSTAMP:20260511T160329
CREATED:20240326T152828Z
LAST-MODIFIED:20240326T152828Z
UID:43066-1714035600-1714038300@coe.northeastern.edu
SUMMARY:GSE Spring 2024 Wonder Week: Chemical Engineering
DESCRIPTION:In this webinar you’ll learn about the chemical engineering graduate program and the cutting-edge research you can be a part of that’s tackles pressing challenges facing our society and our planet in areas such as biomedicine\, energy\, security\, and sustainability.
URL:https://coe.northeastern.edu/event/gse-spring-2024-wonder-week-chemical-engineering/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240425T093000
DTEND;TZID=America/New_York:20240425T123000
DTSTAMP:20260511T160329
CREATED:20240403T181910Z
LAST-MODIFIED:20240403T181934Z
UID:43181-1714037400-1714048200@coe.northeastern.edu
SUMMARY:Shweta Singh PhD Dissertation Defense
DESCRIPTION:Announcing:\nPhD Dissertation Defense \nName:\nShweta Singh \nTitle:\nA Qualitative Approach for Learning and Detection of Emergent Behaviors \nDate:\n4/25/2024 \nTime:\n9:30:00 AM \nCommittee Members:\nProf. Mieczyslaw M. Kokar (Advisor)\nProf. Taskin Padir\nDr. Paul Kogut \nAbstract:\nEmergence has been studied in various fields\, including engineering\, computer science\, and economics. However\, there is no agreed-upon definition of what emergence means. As a result\, it remains a debatable topic among researchers who want to understand and use emergence to engineer their systems. In this thesis\, we are targeting two issues related to the domain of emergence.\nFirst\, we introduce a framework that enables researchers to encode key aspects of emergence theories into an ontology using the Emergence Metaontology. This metaontology provides the basic vocabulary specialized to the domain of emergence. Researchers will be able to add their theories to those that are already encoded\, and then use queries to examine and compare these theories. OWL reasoners can infer new facts and possibly identify inconsistencies between conflicting theories. This will allow researchers to gain a greater understanding of the existing emergence theories. To the best of our knowledge\, this research is the first attempt in the emergence domain to use a query-supported ontological approach to encode and compare multiple theories of emergence.\nThe second contribution is algorithms for detecting the onset of emergence at the beginning of a possibly irreversible emergent behavior. The approach to accelerate the detection of emergence is based on transforming the values of the variables of a system into a different space and then running detection in that space. The first transformation relies on the property of self-similarity – when the values of system variables are in a specific relation. Such relations formalize hypersurfaces in the quantitative system space. The second kind of transformation utilizes qualitative abstraction of the general dynamical system using the $Q^2$ (Quantitative-Qualitative) approach. The quantitative variables of a general dynamical system are mapped to qualitative variables (hypersurfaces)\, leading to the representation of the monitored dynamical system as a Qualitative Dynamical system (QDS).  Detection of emergence is then implemented as a process of analyzing the behavior of the QDS. The efficiency of the approach has been validated on multiple simulations of dynamical systems.
URL:https://coe.northeastern.edu/event/shweta-singh-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240425T100000
DTEND;TZID=America/New_York:20240425T104500
DTSTAMP:20260511T160329
CREATED:20240326T152758Z
LAST-MODIFIED:20240326T152758Z
UID:43068-1714039200-1714041900@coe.northeastern.edu
SUMMARY:GSE Spring 2024 Wonder Week: Pharmaceutical Engineering
DESCRIPTION:In this webinar you’ll learn about the pharmaceutical engineering graduate program and the unique blend of advanced skills in state-of-the art pharmaceutical design\, manufacturing process engineering\, regulatory and quality issues to meet the evolving and growing needs of the biotechnology industry.
URL:https://coe.northeastern.edu/event/gse-spring-2024-wonder-week-pharmaceutical-engineering/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240425T110000
DTEND;TZID=America/New_York:20240425T114500
DTSTAMP:20260511T160329
CREATED:20240326T152902Z
LAST-MODIFIED:20240326T152902Z
UID:43064-1714042800-1714045500@coe.northeastern.edu
SUMMARY:GSE Spring 2024 Wonder Week: Internet of Things & Wireless and Network Engineering
DESCRIPTION:In this webinar you’ll learn from experts from the Institute for Wireless Internet of Things as they dive deep into the Master of Science in Internet of Things and the Master of Science in Wireless and Network Engineering programs and how they relate to their vision of a future in which people and their environment are wirelessly connected by a continuum of AI-powered devices and networks\, from driverless cars and search-and-rescue drone swarms to implantable medical devices and smart cities.
URL:https://coe.northeastern.edu/event/gse-spring-2024-wonder-week-internet-of-things-wireless-and-network-engineering/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
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