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X-WR-CALDESC:Events for Northeastern University College of Engineering
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20211025
DTEND;VALUE=DATE:20211030
DTSTAMP:20260517T104342
CREATED:20211020T151423Z
LAST-MODIFIED:20211020T151423Z
UID:28606-1635120000-1635551999@coe.northeastern.edu
SUMMARY:SACNAS National Diversity in STEM Digital Conference
DESCRIPTION:Join the Graduate School of Engineering Admissions Team at the SACNAS National Diversity in STEM Digital Conference held from October 25-29. Representatives will be available from 12pm-1pm EST each day of the event.
URL:https://coe.northeastern.edu/event/sacnas-national-diversity-in-stem-digital-conference/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20211028
DTEND;VALUE=DATE:20211101
DTSTAMP:20260517T104342
CREATED:20210804T185013Z
LAST-MODIFIED:20210804T185013Z
UID:26863-1635379200-1635724799@coe.northeastern.edu
SUMMARY:Annual oSTEM Conference
DESCRIPTION:Join the Graduate School of Engineering Admissions Team as they represent the graduate school programs at the annual oSTEM virtual conference held from October 28-31. oSTEM (out in science technology\, engineering\, and mathematics) is non profit professional organization for LGBTQ+ people in the STEM fields.
URL:https://coe.northeastern.edu/event/annual-ostem-conference/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211028T100000
DTEND;TZID=America/New_York:20211028T110000
DTSTAMP:20260517T104342
CREATED:20211025T171553Z
LAST-MODIFIED:20211025T171553Z
UID:29166-1635415200-1635418800@coe.northeastern.edu
SUMMARY:ECE PhD Dissertation Defense: Hongjia Li
DESCRIPTION:PhD Dissertation Defense: Automation Design and DNN Acceleration Frameworks: from software implementation to hardware physical design \nHongjia Li \nLocation: Northeastern Zoom Link \nAbstract: With the breakthrough of Deep Neural Networks (DNNs) in the past decade\, neural network-based computer vision has made huge progress\, achieving exceptional performance. Tasks such as object detection\, activity detection\, and medical diagnosis are deployed in a wide range of applications\, including autonomous driving\, robot vision and training\, human-computer interaction\, and augmented reality. To increase the demand of application accuracy\, DNN models are tuned to large scales by adding more parameters and layers. Meanwhile\, mobile devices are rapidly becoming the central computer and carrier for deep learning tasks. However\, real-time execution has been limited due to the computation/storage resource constraints on mobile devices.\nThe first part of this dissertation\, I will present our unified real-time mobile acceleration of DNNs framework\, seamlessly integrating hardware-friendly\, structured model compression with mobile-targeted compiler optimization. The goal of our framework is to provide an unprecedented\, real-time performance of such large-scale neural network inference using simply off-the-shelf mobile devices. Our proposed fine-grained block-based pruning scheme can be universally applicable to all types of DNN layers\, such as CONV layers with different kernel sizes and fully connected layers. Different weight pruning schemes\, such as unstructured pruning\, filter/column pruning\, and our block-based pruning\, are analyzed and compared given the specific deep learning problems. To validate our framework\, various applications are implemented and demonstrated\, object detection\, medical diagnosis. All applications can achieve real-time inference on mobile devices\, outperforming the current mobile acceleration framework by up to 6.7X in speed.\nFor the second part of this dissertation\, I will dive into an efficient automate framework for Adiabatic Quantum-Flux-Parametron (AQFP) technology\, meeting the unique features and constraints. Superconductive electronics (SCE) based on the Josephson junction (JJ) single flux quantum (SFQ) logic cells have evolved into a within-reach “beyond-CMOS” technology. Placement is the primary step in physical design of the electronic systems as it directly affects the maximum frequency and routability of circuits. Algorithms for global placement\, the core step in the placement process\, typically minimize the total wirelength of a design as the main objective as it indirectly affects the routability and timing of circuits. Although minimizing the total wirelength improves the timing of the circuit in general\, it does not directly target optimizing the delay of timing critical paths. Timing and routability driving placement methods are therefore needed. The currently mature design automation tools for CMOS cannot be directly applied to the design of superconducting electronics. In this dissertation\, I will present our proposed timing-aware AQFP-specific placement and routing framework\, given a path balanced AQFP netlist with clock phases. The proposed framework will reduce the solution complexity by making effective use of the row-wise placement/routing opportunity as each AQFP cell is assigned to a specific row (clock phase). \n 
URL:https://coe.northeastern.edu/event/ece-phd-dissertation-defense-hongjia-li/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211028T120000
DTEND;TZID=America/New_York:20211028T130000
DTSTAMP:20260517T104342
CREATED:20211007T204221Z
LAST-MODIFIED:20211007T204221Z
UID:27628-1635422400-1635426000@coe.northeastern.edu
SUMMARY:Virtual Field Trip Series: Dialogue of Civilizations - India and Nepal: Climate Change Science and Policy
DESCRIPTION:Learn about the impact climate change has on The Indian subcontinent’s diverse geography\, culture\, and economy\, and the policies being pursued to mitigate the damage. \nhttps://eventregistration.northeastern.edu/event/a2d5623e-cd58-481a-807f-89872942a82c/summary?RefId=COLLEGE
URL:https://coe.northeastern.edu/event/virtual-field-trip-series-dialogue-of-civilizations-india-and-nepal-climate-change-science-and-policy/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211028T183000
DTEND;TZID=America/New_York:20211028T193000
DTSTAMP:20260517T104342
CREATED:20211021T204451Z
LAST-MODIFIED:20211021T204451Z
UID:28946-1635445800-1635449400@coe.northeastern.edu
SUMMARY:Insights into the Deferred MBA Program
DESCRIPTION:Please join the Galante Engineering Business Program and our Professional Development Coordinator Isabella Cardona Barber along with Professional Development Assistant Marissa Westerbeke in hosting three Galante Alumni as they share their success as Deferred MBA admits at top schools in the U.S.\, as well as valuable lessons they learned along the way. They will also dive into relevant resources\, review the application process\, and answer any questions you may have regarding this unique opportunity. \nThe event will be hosted in-person in Egan Research Center 440 and online via Zoom. \nPlease RSVP.
URL:https://coe.northeastern.edu/event/insights-into-the-deferred-mba-program/
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