BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Northeastern University College of Engineering - ECPv6.16.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Northeastern University College of Engineering
X-ORIGINAL-URL:https://coe.northeastern.edu
X-WR-CALDESC:Events for Northeastern University College of Engineering
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VTIMEZONE
TZID:America/Montserrat
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0400
TZNAME:AST
DTSTART:20210101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20210314T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20211107T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20220313T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20221106T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20230312T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20231105T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221019T080000
DTEND;TZID=America/New_York:20221019T090000
DTSTAMP:20260522T060036
CREATED:20220906T134322Z
LAST-MODIFIED:20220906T134322Z
UID:32410-1666166400-1666170000@coe.northeastern.edu
SUMMARY:GSE Wonder Week: Learn about Civil + Environmental Engineering Graduate Programs
DESCRIPTION:Learn about Civil + Environmental Engineering Graduate Programs
URL:https://coe.northeastern.edu/event/gse-wonder-week-learn-about-civil-environmental-engineering-graduate-programs/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221019T090000
DTEND;TZID=America/New_York:20221019T100000
DTSTAMP:20260522T060036
CREATED:20221014T181739Z
LAST-MODIFIED:20221014T181739Z
UID:33321-1666170000-1666173600@coe.northeastern.edu
SUMMARY:GSE Wonder Week: Learn about Chemical Engineering Graduate Programs
DESCRIPTION:Learn about Chemical Engineering Graduate Programs
URL:https://coe.northeastern.edu/event/gse-wonder-week-learn-about-chemical-engineering-graduate-programs/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221019T120000
DTEND;TZID=America/New_York:20221019T130000
DTSTAMP:20260522T060036
CREATED:20221007T180909Z
LAST-MODIFIED:20221007T180909Z
UID:33047-1666180800-1666184400@coe.northeastern.edu
SUMMARY:Figuring it out: Student Engagement towards Conceptual Understanding and Disciplinary Practice
DESCRIPTION:ChE Seminar Series Presents: Milo Korestky\nMcDonnell Family Bridge Professor\nCo-Director\, Institute for Learning on Research and Instruction (IRLI)\nDepartment of Chemical and Biological Engineering\nDepartment of Education\nTufts University \nAbstract: \nThere has been considerable emphasis recently in transitioning chemical engineering classroom instruction from transmission-based lectures to active learning. Active learning has been defined broadly as “anything that you have your students do in class that gets them to actively engage with the material you’re trying to teach.”  This talk focuses on student engagement – that is\, how students take up the challenging and complex work that we ask them to do as they form into professional engineers. I explore fundamental questions about student engagement in the active learning classroom: Engagement in what? Are there different kinds of engagement? I contrast two forms of engagement. The first looks at engagement for conceptual understanding using the Concept Warehouse\, a tool developed around concept-based active learning. The second addresses engagement in disciplinary practices. When engaged in disciplinary practices\, students use the concepts and discourses of engineering to “get somewhere” on an engineering task (develop a product\, gain a better understanding). Neither way is inherently more correct or better\, rather they are representations of learning that might provide useful ways to think about design choices within a certain context. \nBiography: \nMilo Koretsky is the McDonnell Family Bridge Professor and co-Director of the Institute for Research on Learning and Instruction (IRLI) at Tufts University. He holds a joint appointment in Chemical and Biological Engineering and in Education. He received his B.S. and M.S. degrees from UC San Diego and his Ph.D. from UC Berkeley\, all in Chemical Engineering. He currently has research activity in areas related to engineering education. His group works on integrating technology into effective educational practices that promote the use of higher-level cognitive and social skills in engineering problem-solving and in promoting change towards motivating faculty to use evidence-based instructional practices. A particular focus is on what prevents students from being able to integrate and extend the knowledge developed in specific courses in the core curriculum to the more complex\, authentic problems and projects they face in professional practice. Dr. Koretsky has received recognition through university and international awards and is a Fellow of the American Society of Engineering Education and a Fellow of the Center for Lifelong STEM Education Research.
URL:https://coe.northeastern.edu/event/figuring-it-out-student-engagement-towards-conceptual-understanding-and-disciplinary-practice/
LOCATION:236 Richards\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221019T120000
DTEND;TZID=America/New_York:20221019T130000
DTSTAMP:20260522T060036
CREATED:20221012T182304Z
LAST-MODIFIED:20221012T182304Z
UID:33234-1666180800-1666184400@coe.northeastern.edu
SUMMARY:BioE Seminar Series Presents: John Kasianowicz
DESCRIPTION:Department of Bioengineering Seminar Series  \nJohn Kasianowicz\, Ph.D  \n“Sequencing DNA\, Sizing Polymers\, Identifying Proteins (& More) with Nanometer-Scale Pores”  \nWednesday\, October 19th\, 2022\n12:00 pm – 1:00 pm EST\n105 Shillman Hall \nABSTRACT: \nBiological nanometer-scale protein pores are the basis of nerve and muscle activity.  With the goal of providing low-cost measurements for health care applications\, we have been adapting several types of nanopores for the detection\, characterization\, and identification of molecules.  For example\, when a single molecule enters a pore\, its physical and chemical properties control both the degree by which it reduces the ionic current that otherwise flows freely and its dwell time there.  Thus far\, our work led to two novel DNA sequencing methods (and a critical assessment of a third technique)1-5\, the ability to discriminate between individual polymers based on their size6\,7\, the means to quantitate protein concentration8\, and a technique for identifying subtly different species of metallo-nanoparticles9.  In addition\, we recently demonstrated that a nanopore can also be used to identify proteins10-13.  This new method could markedly improve healthcare diagnostics and allow more blood analyses to be performed at point-of-care facilities.  We are also investigating the possible use of nanopores as the read head in molecular-based memory storage devices and the role of ion channels in the competition between bacteria.  This ongoing work is a collaborative effort with groups at Columbia University (Jingyue Ju)\, CY Cergy Paris Université (Abdelghani Oukhaled)\, Freiburg University (Jan Behrends)\, and the DoD (Sina Bavari\, Rekha Panchal\, Captain Rick Gussio\, and Colonel Kelly Halverson). \nBIO:   \nDr. Kasianowicz is the Leader of the Nanobiotechnology Project in the Physical Measurement Laboratory at NIST. He earned a Ph.D. in Physiology & Biophysics from the State University of New York at Stony Brook\, a M.A. in Physics from the State University of New York at Stony Brook\, and a B.A. in Physics (with Distinction) from Boston University. He was a National Academy of Sciences/ National Research Council Research Associate in the Chemical Science and Technology Laboratory at NIST prior to joining the staff and becoming a Leader of the Biomolecular Materials Group. Currently\, John directs the research efforts of staff scientists\, post-doctoral fellows\, and graduate/undergraduate students.  \nJohn pioneered research in five areas: 1) single molecule characterization\, quantification\, and identification; 2) nanopore-based DNA sequencing (he published work in 3 of the 4 methods proposed for this application); 3) elucidating the mechanisms of anthrax toxin action;\, 4) single molecule thermodynamics and kinetics; and 5) development of new methods for membrane protein structure determination. His seminal work in these fields opened other areas of investigation (e.g.\, nanopore-based single molecule force spectroscopy)\, new conferences dedicated to these subjects\, and NIH- and DARPA-based funding initiatives. A range of companies (e.g.\, IBM\, Oxford Nanopore\, Illumina\, Genia Technology (Roche)\, Stratos\, Electronic BioSciences\, and Quantum Biosystems) have been pursuing John’s applied research to develop practical devices for the electronic detection and characterization of individual biological molecules. Several that are using his nanopore-based DNA sequencing technologies are currently valued at $1.8B. His current major foci are the development of nanoscale electronic systems to measure the fundamental properties of single molecules. The work could be applied to storing and retrieving information in molecules\, and simultaneously quantifying many biomarkers (proteins\, DNA\, RNA\, etc.) in single cells\, tissue\, and blood. The latter work would have a marked impact on understanding basic cellular mechanisms and aid the development of quantitative personalized medicine.
URL:https://coe.northeastern.edu/event/bioe-seminar-series-presents-john-kasianowicz/
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221019T140000
DTEND;TZID=America/New_York:20221019T150000
DTSTAMP:20260522T060036
CREATED:20221017T145542Z
LAST-MODIFIED:20221017T145542Z
UID:33377-1666188000-1666191600@coe.northeastern.edu
SUMMARY:IER Seminar Series: Dr. Monroe Kennedy III
DESCRIPTION:*This event is virtual only* \nZoom: https://northeastern.zoom.us/j/98344781352 \nTitle: DenseTact: Calibrated Optical Tactile Sensing for the Next Generation of Robotic Manipulation \nAbstract: \nRobotic dexterity stands to be the key challenge to making collaborative robots ubiquitous in the home and industry environments\, particularly those that require adaptive systems. The last few decades have produced many solutions in this space that include mechanical transducers (pressure sensors) that while effective usually suffer limitations of the resolution\, cross-talk\, and limited multi-modal sensing at every point. There are passive\, soft sensors that through high friction and form-closure envelope items to be manipulated for stable grasps\, and while often effective at securing a grasp\, such sensors generally do not provide the dexterity needed to re-grasp\, perform finger gaiting or truly quantify the stability of a grasp beyond basic immobilization observed through action. Finally\, optical tactile sensors have presented many new avenues for research\, with leading designs being GelSight and GelSlim for surface reconstruction and force estimation. While optical tactile sensors stand to be robotics best answer so far to sensing sensitivity that approaches anthropomorphic performance\, there is still a noticeable gap in robotics research when it comes to performing manipulation tasks\, with end-to-end solutions struggling to extend to new complex manipulation tasks without significant (and often unscalable) training. \nIn this talk\, I will present DenseTact an optical tactile sensor that provides calibrated surface reconstruction and forces for a single fingertip. This calibrated\, anthropomorphically inspired fingertip design will allow for modularization of the grasping process and open new avenues of research in robotic manipulation towards collaborative robotic applications. \nBio: \nMonroe Kennedy III is an assistant professor in Mechanical Engineering and courtesy of Computer Science at Stanford University. Prof. Kennedy is the recipient of the NSF Faculty Early Career Award. He leads the Assistive Robotics and Manipulation laboratory (arm.stanford.edu)\, which develops collaborative robotic assistants by focusing on combining modeling and control techniques together with machine learning tools. Together\, these techniques will improve robotic performance for tasks that are highly dynamic\, require dexterity\, have considerable complexity\, and require human-robot collaboration. He received his Ph.D. in Mechanical Engineering and Applied Mechanics and Masters in Robotics at the University of Pennsylvania and was a member of the GRASP Lab.
URL:https://coe.northeastern.edu/event/ier-seminar-series-dr-monroe-kennedy-iii/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221020T080000
DTEND;TZID=America/New_York:20221020T090000
DTSTAMP:20260522T060036
CREATED:20220906T134416Z
LAST-MODIFIED:20220906T134416Z
UID:32407-1666252800-1666256400@coe.northeastern.edu
SUMMARY:GSE Wonder Week: Learn about Telecommunication Networks & Cyber-Physical Systems Programs
DESCRIPTION:Join program director Dr. Peter O’Reilly to learn about the MS in Telecommunication Networks & Cyber-Physical Systems graduate programs
URL:https://coe.northeastern.edu/event/gse-wonder-week-learn-about-telecommunication-networks-cyber-physical-systems-programs/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Montserrat:20221020T100000
DTEND;TZID=America/Montserrat:20221020T140000
DTSTAMP:20260522T060036
CREATED:20220826T211617Z
LAST-MODIFIED:20220826T211617Z
UID:32305-1666260000-1666274400@coe.northeastern.edu
SUMMARY:USC Fall 2022 Graduate Schools Fair - Los Angeles\, CA
DESCRIPTION:Join the Graduate Admissions team for an IN-PERSON recruiting event in Los Angeles\, California! The event will take place at USC Trousdale Pkwy Los Angeles \, California on October 20th between 10:00 AM to 2:00 PM PST. Registration and event details may be found at the website below. We look forward to seeing you there!
URL:https://coe.northeastern.edu/event/usc-fall-2022-graduate-schools-fair-los-angeles-ca/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221020T120000
DTEND;TZID=America/New_York:20221020T130000
DTSTAMP:20260522T060036
CREATED:20221103T151700Z
LAST-MODIFIED:20221103T151700Z
UID:34186-1666267200-1666270800@coe.northeastern.edu
SUMMARY:Neset Unver Akmandor's PhD Proposal Review
DESCRIPTION:“Improving Computational Efficiency of Motion Planning Algorithms for Mobile and Time-Dependent Robotic Tasks in Dynamic Environments” \nAbstract: \nRobots will become a part of our lives at home as personal assistants. Although their current functionality is highly restricted to specific tasks and environments\, their practicality encourages robotics engineers for further advancement. Especially\, mobile robots with manipulation capabilities have a huge potential to support humans in physically demanding workplaces\, such as warehouses and hospitals. Considering the complexity of the human level tasks and the dynamic settings\, the state-of-the-art robot motion planning methods need to be improved in terms of their computational efficiency. To contribute on closing the gap\, this proposal presents three novelties whose applications focus on mobile robots in dynamic environments. First\, we introduce a reactive navigation framework in 3D workspaces. The proposed approach does not rely on the global map information and achieves fast navigation by employing motion primitives and their heuristic evaluations on the-fly. Second\, we present a Deep Reinforcement Learning based navigation approach in which we define the occupancy observations as heuristic evaluations of motion primitives\, rather than using raw sensor data. It utilizes occupancy observations in different data structures to analyze their effects on both training process and navigation performance. We train and test our methodology on two different robots within challenging physics-based simulation environments including static and dynamic obstacles. Finally\, we propose a computationally efficient framework for trajectory planning for robots with high degrees-of freedom while adapting its system model\, constraints and time-dependent target state using the latest information from the dynamic environment. \n  \nCommittee: \nDr. Taskin Padir (Advisor)Dr. Pau ClosasDr. Michael EverettDr. Erdal Kayacan
URL:https://coe.northeastern.edu/event/neset-unver-akmandors-phd-proposal-review/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221020T130000
DTEND;TZID=America/Los_Angeles:20221020T170000
DTSTAMP:20260522T060036
CREATED:20220927T134523Z
LAST-MODIFIED:20220927T134523Z
UID:32801-1666270800-1666285200@coe.northeastern.edu
SUMMARY:University of California\, Santa Barbara Graduate & Professional School Day
DESCRIPTION:Learn about Northeastern University’s graduate engineering programs at UC Santa Barbara. One of our admissions representatives will be happy to answer your questions!
URL:https://coe.northeastern.edu/event/university-of-california-santa-barbara-graduate-professional-school-day/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221020T180000
DTEND;TZID=America/New_York:20221020T190000
DTSTAMP:20260522T060036
CREATED:20220831T150823Z
LAST-MODIFIED:20220831T150823Z
UID:32370-1666288800-1666292400@coe.northeastern.edu
SUMMARY:PlusOne Information Session
DESCRIPTION:Learn about the PlusOne Accelerated Master’s Degree Program \nA master’s degree can provide you with an additional level of expertise in an area aligned with your career goals. As a currently enrolled Bachelor of Science (BS) student in the College of Engineering at Northeastern\, you have the opportunity to earn a Master of Science degree (MS) in an accelerated time period with the PlusOne program. Once accepted into the program in an approved PlusOne pathway\, which is a BS and MS PlusOne combination\, you can earn an MS degree with\, in most cases\, just one extra year of study beyond your undergraduate degree program. \nIn this virtual information session\, College of Engineering undergraduate and graduate academic advisors will provide an overview of the PlusOne program to give you the knowledge and next steps to take advantage of the program if you choose. \nWHAT YOU WILL LEARN:\n• What is PlusOne\n• Benefits of the program\n• Eligibility\n• Co-op considerations\n• Financial considerations\n• Selecting your pathway\n• Academic advising resources\n• Timeline to apply\n• The application process\n• Course registration\n• Transitioning to graduate school \nLearn more and apply: coe.northeastern.edu/plusone
URL:https://coe.northeastern.edu/event/plusone-information-session-3/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221021T090000
DTEND;TZID=America/New_York:20221021T100000
DTSTAMP:20260522T060036
CREATED:20220830T201158Z
LAST-MODIFIED:20220830T201158Z
UID:32358-1666342800-1666346400@coe.northeastern.edu
SUMMARY:GSE Wonder Week: Learn about MSIS\, MSIS-Bridge\, MSDAMG\, & MSSES
DESCRIPTION:Join this webinar to learn about MS Information Systems\, MS Information Systems Bridge\, MS Data Architecture & Management\, and MS Software Engineering Systems
URL:https://coe.northeastern.edu/event/gse-wonder-week-learn-about-msis-msis-bridge-msdamg-msses/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221021T100000
DTEND;TZID=America/New_York:20221021T110000
DTSTAMP:20260522T060036
CREATED:20220909T184240Z
LAST-MODIFIED:20220909T184240Z
UID:32517-1666346400-1666350000@coe.northeastern.edu
SUMMARY:GSE Wonder Week: Learn about Mechanical + Industrial Engineering Graduate Programs
DESCRIPTION:Join this webinar to learn about the Mechanical + Industrial Engineering Graduate Programs at Northeastern University
URL:https://coe.northeastern.edu/event/gse-wonder-week-learn-about-mechanical-industrial-engineering-graduate-programs/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221021T130000
DTEND;TZID=America/New_York:20221021T140000
DTSTAMP:20260522T060036
CREATED:20220909T174139Z
LAST-MODIFIED:20220909T174139Z
UID:32495-1666357200-1666360800@coe.northeastern.edu
SUMMARY:COE FacDev Friday: Getting Your News Out - Working with COE Marketing and Communications
DESCRIPTION:
URL:https://coe.northeastern.edu/event/coe-facdev-friday-getting-your-news-out-working-with-coe-marketing-and-communications/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221024T110000
DTEND;TZID=America/New_York:20221024T120000
DTSTAMP:20260522T060036
CREATED:20221103T173221Z
LAST-MODIFIED:20221103T173221Z
UID:34195-1666609200-1666612800@coe.northeastern.edu
SUMMARY:Yixuan He's PhD Proposal Review
DESCRIPTION:Committee: \nProf. Yong-Bin Kim. Advisor \nProf. Marvin Onabajo \nProf. Lombardi Fabrizio \n  \nAbstract: \nIn order to match the needs of powerful neural networks and meet the hard constraints from hardware\, binary neural networks are treated as hardware-friendly deep learning algorithms due to the fact that it can achieve similar inference accuracy with fewer computing resources comparing to traditional convolutional neural networks. As for its VLSI implementations\, the computing-in-memory (CIM) technology has been proved to solve the memory-wall bottleneck problem shown in traditional von Neumann machine and can be a perfect choice to implement neural networks with binary data. Therefore\, this work proposes a novel time-domain computing-in-memory core that implements XNOR-and-accumulate of binary neural networks with all-digital elements. This new technique uses 8T-SRAM cells to perform XNOR operations inside memory array and accumulates the related XNOR output values in time-domain with specialized racing structures and delay lines. The circuit is built and simulated in Cadence using Samsung 65nm CMOS technology with 1V power supply. The results show correct functionality\, 2730 GOPS throughput and 431 TOPS/W power efficiency. With further exploration\, the time-domain computation can be a new candidate in the field of in-memory-computing for deep learning applications since it has its own superiorities in terms of throughput\, power efficiency in comparison to other mixed-signal or traditional digital methods.
URL:https://coe.northeastern.edu/event/yixuan-hes-phd-proposal-review/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221025T080000
DTEND;TZID=America/New_York:20221025T090000
DTSTAMP:20260522T060036
CREATED:20221024T133842Z
LAST-MODIFIED:20221024T133842Z
UID:33915-1666684800-1666688400@coe.northeastern.edu
SUMMARY:Webinar: Learn about Northeastern's Co-op Program!
DESCRIPTION:Come learn more about Northeastern’s Co-op Program for graduate engineering students! A member of our admissions team\, and the Assistant Dean & Senior Co-op Coordinator\, Lorraine Mountain will present and answer questions.
URL:https://coe.northeastern.edu/event/webinar-learn-about-northeasterns-co-op-program/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221026T120000
DTEND;TZID=America/New_York:20221026T130000
DTSTAMP:20260522T060036
CREATED:20221012T182453Z
LAST-MODIFIED:20221012T182453Z
UID:33236-1666785600-1666789200@coe.northeastern.edu
SUMMARY:BioE Seminar Series Presents Erica Pratt
DESCRIPTION:Department of Bioengineering Seminar Series presents: \nErica Pratt\, Ph.D  \nAssistant Professor\, Department of Biomedical Engineering\, Boston University\, Boston MA \n“Liquid biopsy approaches in pancreatic cancer”  \nWednesday\, October 26th\, 2022\n12:00 pm – 1:00 pm EST\n105 Shillman Hall  \nABSTRACT:    \nOnly 25% of pancreatic ductal adenocarcinoma (PDA) patients with localized disease survive five years after a ‘curative’ resection. It is hypothesized that PDA undergoes dissemination at the earliest stages of tumorigenesis\, driving the formation of micrometastases that go undetected using conventional screening methods. The development of high-specificity\, high-sensitivity biomarkers is critical to improving patient outcomes. Growing evidence suggests circulating tumor DNA (ctDNA) is an ideal candidate to fill this gap. ctDNA has been successfully used as a noninvasive prognostic biomarker in multiple solid tumor types. However\, pancreatic cancer remains intractable due to its intrinsically low molecular signal and fast timeline to progression. To address this need\, we have developed a digital PCR (dPCR)-based platform for rapid\, flexible\, and multiplexed ctDNA detection. Our approach for sensitive detection of low abundance ctDNA is a promising tool for modular and scalable mutation profiling.  \nBIO:   \nErica D. Pratt is an assistant professor of Biomedical Engineering at Boston University. Her lab works at the interface of engineering\, chemical biology and oncology to develop assays for cancer diagnosis and monitoring. She earned her B.S. in Mechanical Engineering and Biomedical Engineering from Carnegie Mellon University. Erica went on to earn her Ph.D. in Biomedical Engineering at Cornell University working with Brian J. Kirby. There she co-designed the Geometrically Enhanced Differential Immunocapture (GEDI) platform for high-efficiency and high-purity microfluidic isolation of circulating tumor cells from whole blood samples. Erica then completed multi-disciplinary postdocs with Andrew D. Rhim and Laurie L. Parker developing assays for non-invasive omic characterization of solid cancers.
URL:https://coe.northeastern.edu/event/bioe-seminar-series-presents-erica-pratt/
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221026T120000
DTEND;TZID=America/New_York:20221026T130000
DTSTAMP:20260522T060036
CREATED:20221019T135725Z
LAST-MODIFIED:20221019T135725Z
UID:33623-1666785600-1666789200@coe.northeastern.edu
SUMMARY:Modular and Composite Approaches to Engineering Challenging Tissues with Polysaccharide Materials
DESCRIPTION:ChE Seminar Series Presents: \nHoward W.T. Matthew\, PhD \nProfessor\, Chemical Engineering\, Wayne State University \nAbstract: \nPolysaccharides have long been recognized as polymeric materials with an array of properties that have made them indispensable for applications ranging from adhesives to property-enhancing nanomaterials.  As a result\, they have found wide acceptance as food and drug additives.  Over the past thirty years\, a growing body of work has served to raise their profile as effectors and modulators of receptor-based phenomena including immune recognition as well as cell-matrix\, cell-pathogen\, and cell-growth factor interactions.  However\, these materials remained underutilized as components of implantable systems.  Within the last decade\, the explosion of research in tissue engineering and regenerative medicine has increased demand for biologically active materials\, and polysaccharides are receiving greater attention for their ability to facilitate tissue assembly and organization in vitro and in vivo.  While many polysaccharides possess potentially useful biological activities\, their mode of application has mainly been in bulk hydrogel form.  The Matthew group has been working with polyelectrolyte ionic complexes formed between oppositely charged polysaccharides.  These ionic complex membranes can be rendered as hollow microcapsules of controllable size.  This presentation will describe our ongoing studies focused on deploying these capsules as a versatile tool for generating tissue organoids and as a platform for assembling vascularized tissues with a range of physical and biological properties. \nBio: \nHoward Matthew is a Professor of Chemical Engineering and Materials Science at Wayne State University (WSU) in Detroit\, Michigan.  He received a B.Sc. degree in Chemical Engineering (1984) from the University of the West Indies\, Trinidad.  After two years in the food processing industry\, he joined Wayne State University for graduate studies\, receiving an M.S. degree in 1988 and a Ph.D. in 1992.  He conducted two years of postdoctoral research at Harvard Medical School and the Massachusetts General Hospital.  He then joined the WSU faculty as an Assistant Professor in 1994.  He is a recipient of the National Science Foundation’s Early Faculty CAREER Award (1996)\, and was elected as a Fellow of the American Institute of Medical and Biological Engineering (AIMBE\, 2012).  His research spans the fields of biomaterials and tissue engineering\, focusing on the use of polysaccharide materials in tissue design and assembly.  His work has two broad themes: modulating the mechanics and biological activity of polysaccharide materials; and developing methods to apply these materials in cell and tissue-based therapies.  Target applications include: heart valves for pediatric applications\, designing transplantable liver tissue\, and regeneration of musculoskeletal structures after surgical or traumatic loss.  To date\, Prof. Matthew has been research supervisor for over 40 graduate students 55 undergraduates and 43 high school students. \n 
URL:https://coe.northeastern.edu/event/modular-and-composite-approaches-to-engineering-challenging-tissues-with-polysaccharide-materials/
LOCATION:236 Richards\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221026T193000
DTEND;TZID=America/New_York:20221026T210000
DTSTAMP:20260522T060036
CREATED:20221011T183246Z
LAST-MODIFIED:20221011T183246Z
UID:33143-1666812600-1666818000@coe.northeastern.edu
SUMMARY:SWE Networking Night
DESCRIPTION:Join the Society for Women Engineers (SWE) for our annual Networking Night!  \nWhen: Wednesday\, October 26th at 7:30pm \nWhere: Curry Ballroom (second floor) \nWho: Undergraduate womxn engineers and companies representing all engineering majors \nWhy: Become more comfortable networking and build relationships with industry professionals! \nThis is a unique opportunity for undergraduate womxn engineers to chat about professional development with engineers and recruiters from 20+ companies. Learn more about job opportunities\, interview tips\, resume help\, career trajectory\, etc. in a low-pressure environment! \nCheck out our event on Engage!
URL:https://coe.northeastern.edu/event/swe-networking-night/
LOCATION:Curry Student Center\, 360 Huntington Ave.\, Boston\, MA\, 02115\, United States
GEO:42.3394629;-71.0885286
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Curry Student Center 360 Huntington Ave. Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave.:geo:-71.0885286,42.3394629
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221027T000000
DTEND;TZID=America/New_York:20221029T000000
DTSTAMP:20260522T060036
CREATED:20220826T211711Z
LAST-MODIFIED:20220826T211711Z
UID:32307-1666828800-1667001600@coe.northeastern.edu
SUMMARY:SACNAS National Diversity in STEM Conference - San Juan\, PR
DESCRIPTION:Join the Graduate Admissions team for an IN-PERSON recruiting event in San Juan\, Puerto Rico! The event will take place at Governor Pedro Rosello San Juan Convention Center\, on October 27th to October 29th. Registration and event details may be found at the website below. We look forward to seeing you there!
URL:https://coe.northeastern.edu/event/sacnas-national-diversity-in-stem-conference-san-juan-pr/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221027T140000
DTEND;TZID=America/New_York:20221027T160000
DTSTAMP:20260522T060036
CREATED:20221014T181811Z
LAST-MODIFIED:20221014T181811Z
UID:33323-1666879200-1666886400@coe.northeastern.edu
SUMMARY:California State University\, Fullerton Graduate School Expo
DESCRIPTION:Emily DeRosa\, Recruiting Specialist from the Graduate School of Engineering will be present at this on-ground event at California State University Fullerton. Visit our table to learn more about our Graduate Engineering programs!
URL:https://coe.northeastern.edu/event/california-state-university-fullerton-graduate-school-expo/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221027T150000
DTEND;TZID=America/New_York:20221027T163000
DTSTAMP:20260522T060036
CREATED:20221011T204519Z
LAST-MODIFIED:20221011T204519Z
UID:33190-1666882800-1666888200@coe.northeastern.edu
SUMMARY:Dean's Distinguished Lecture Series: Finding Academic\, Professional\, and Personal Success
DESCRIPTION:DEAN’S DISTINGUISHED LECTURE SERIES \nFinding Academic\, Professional\, and Personal Success \nRavi Bellamkonda\nProvost and Executive Vice President for Academic Affairs\, Emory University \nDr. Bellamkonda has had a rapid ascent in academia. But as most of us would agree\, professional success means little without being connected to personal meaning. In this talk\, Dr. Bellamkonda will talk about his personal journey and what lessons he would share with engineers at every career stage\, from first-year undergrads to seasoned academics. \nReception to follow.\nThursday\, October 27\n3:00 – 4:30 P.M.\n108 Snell Engineering \n\nThe Dean’s Distinguished Lecture Series brings inspirational guest speakers to Northeastern. \n\nRavi V. Bellamkonda serves as Emory’s provost and executive vice president for academic affairs. Prior to becoming provost at Emory\, Bellamkonda served as dean of the Pratt School of Engineering at Duke University. Previously\, he was Wallace H. Coulter professor and chair of the Department of Biomedical Engineering at Georgia Institute of Technology and Emory University. From 2014 to 2016\, Bellamkonda served as president of the American Institute for Biological and Medical Engineering. \nA trained bioengineer and neuroscientist\, Bellamkonda holds an undergraduate degree in biomedical engineering. His graduate training at Brown University was in biomaterials and medical science\, and his postdoctoral training at MIT focused on the molecular mechanisms of axon guidance and neural development. \nBellamkonda is committed to fostering transformative research and pedagogical innovation as well as programs that create an entrepreneurial mindset among faculty and students. His current research explores the interplay of biomaterials and the nervous system for neural interfaces\, nerve repair\, and brain tumor therapy.
URL:https://coe.northeastern.edu/event/deans-distinguished-lecture-series-finding-academic-professional-and-personal-success/
LOCATION:108 SN
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221028T113000
DTEND;TZID=America/New_York:20221028T123000
DTSTAMP:20260522T060036
CREATED:20221014T145830Z
LAST-MODIFIED:20221025T183838Z
UID:33311-1666956600-1666960200@coe.northeastern.edu
SUMMARY:Dean's Speaker: What Society Must Require from AI
DESCRIPTION:WHAT SOCIETY MUST REQUIRE FROM AI \nA lecture with Dr. Ronald M. Baecker\, Emeritus Professor of Computer Science and Bell Chair in Human-Computer Interaction at the University of Toronto \nDr. Baecker will discuss the dangers of premature use of AI\, and what society must require of algorithms affecting human welfare\, health\, life\, and death. The talk will be of interest to researchers in prioritizing problems for AI guided by human-computer interaction\, as well as policy makers and citizens considering when and how AI technology should be deployed. \nPlease RSVP to attend \nLunch will be served following the lecture. \nRonald M. Baecker received bachelor’s\, master’s\, and doctoral degrees from MIT. He researched interactive computing at MIT’s Lincoln Laboratory\, the National Institutes of Health\, Xerox PARC\, Apple Computer\, and the MIT Media Lab. At the University of Toronto\, he founded its Knowledge Media Design Institute and its Technologies for Aging Gracefully Lab\, and co-founded its Dynamic Graphics Project. He has started five software companies\, leading three as founding CEO\, and has taught principles of software entrepreneurship for over three decades. \nFenway Center or via Zoom \nView Flyer
URL:https://coe.northeastern.edu/event/deans-speaker-what-society-must-require-from-ai/
LOCATION:Fenway Center\, 77 St. Stephen Street\, Boston\, MA\, 02115\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221028T120000
DTEND;TZID=America/New_York:20221028T130000
DTSTAMP:20260522T060036
CREATED:20221024T173031Z
LAST-MODIFIED:20221024T173031Z
UID:33919-1666958400-1666962000@coe.northeastern.edu
SUMMARY:Systems Thinking\, Community Engagement\, and Collaborative Change Within and Beyond Engineering Education
DESCRIPTION:Friday\, October 28th at 12pm (VIRTUAL)\n \nPlease Register:\nhttps://bit.ly/3BPSSOu \nAll attendees receive a FREE BOOK! \nAbstract: This seminar explores intersections between systems thinking\, community engagement\, and collaborative change within and beyond engineering education by discussing three big questions: \nWhat skills do we (and our students) need to address some of the complex\, intractable\, systemic challenges that we care about? How would we know what learning looks like? \nWhat are some of the central values\, imperatives\, or habits of mind that comprise community engagement? Where do we fit in to address issues we care about? \nWhat factors influence our capacity to collaboratively enact change?  \nThe seminar will be grounded in brief findings from research projects engaged with these core questions and will invite discussion about how we can prioritize these activities within engineering education and the opportunities for broader impacts. \nBio: Dr. Jake Grohs is an Associate Professor in the Department of Engineering Education and an affiliate faculty member to both Learning Science and Technologies and Biomedical Engineering and Mechanics. Grohs currently serves as PI of two and co-PI of two NSF-funded education focused grants which involve partnering with different stakeholder groups on continuous improvement or collaborative change (e.g.\, K12 teachers and administrators\, university engineering faculty). His primary research interests focus on systems thinking\, including how individuals reason through complex ill-structured problems\, how educational environments develop systems thinking skills\, and how collaborative groups might apply systems thinking to enact positive change.
URL:https://coe.northeastern.edu/event/systems-thinking-community-engagement-and-collaborative-change-within-and-beyond-engineering-education/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221028T130000
DTEND;TZID=America/New_York:20221028T140000
DTSTAMP:20260522T060036
CREATED:20221103T173401Z
LAST-MODIFIED:20221103T173401Z
UID:34200-1666962000-1666965600@coe.northeastern.edu
SUMMARY:Guillem Reus Muns' PhD Proposal Review
DESCRIPTION:Location: ISEC 332 \n“AI for communications and sensing in RF environments” \nAbstract: \nThe recent growth of Internet of Things (IoT)\, as well as other new revolutionary applications utilizing wireless spectrum are leading the way towards realization of next generation wireless systems that jointly utilize communications and sensing. However\, such systems offer many degrees of freedom\, and optimizing them for a specific task is difficult to accomplish with deterministic and classical approaches. For this reason\, data-driven and AI-based methods have been pursued actively by the research community\, as they are able to find solutions that often come close to or exceed the performance of the deterministic counterparts with a fractional execution complexity. This thesis presents\, through real systems and with experimental validation\, our progressive efforts in three broad areas\, where AI enables the operation of aerial and terrestrial systems that combine sensing and communications. This dissertation explores the following key use cases with distinct contributions made in each: \ni) Sensing-aided communications for air and ground systems. First\, we present a UAV communication method that defines constellation points in space that map to transmitter frequency bands and are detected at the Base Station using millimeter wave sensors. Second\, we explore alternative vehicle-to-infrastructure mmWave beamforming methods\, leveraging a) vehicle position and velocity estimation using in-band standard compliant 802.11ad radar and b) camera images and GPS location information.\nii) Signal classification using communication signals\, where we propose a) a UAV classification method using uniquely UAV-transmitted signals and b) an RF fingerprinting technique that improves class separation by combining triplet loss with regular classification techniques.\niii) ‘AirFC’\, an over-the-air computation method that implements fully connected neural networks inference leveraging multi-antenna systems. \nFinally\, the proposed work will address challenges in the CBRS band\, where a tiered structure is implemented to access the spectrum. Hence\, continuous sensing is needed to make sure that radar (tier 1) is not interfered by cellular systems (tier 2). Here\, we propose reusing the already existing cellular infrastructure to act as a radar detector\, which enhances their functionality to go beyond that of regular wireless communications. \nCommittee: \nProf. Kaushik Chowdhury (Advisor) \nProf. Hanumant Singh \nProf. Stratis Ioannidis
URL:https://coe.northeastern.edu/event/guillem-reus-muns-phd-proposal-review/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221031T100000
DTEND;TZID=America/New_York:20221031T110000
DTSTAMP:20260522T060036
CREATED:20221012T182551Z
LAST-MODIFIED:20221012T182551Z
UID:33241-1667210400-1667214000@coe.northeastern.edu
SUMMARY:Introducing the MS in Computational Medicine
DESCRIPTION:Learn about the College of Engineering’s newest program offering at Northeastern’s Roux Institute\, the MS in Computational Medicine on Monday\, October 31 at 10:00am. Registration is required.
URL:https://coe.northeastern.edu/event/introducing-the-ms-in-computational-medicine/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221031T150000
DTEND;TZID=America/New_York:20221031T170000
DTSTAMP:20260522T060036
CREATED:20221018T140809Z
LAST-MODIFIED:20221018T140809Z
UID:33372-1667228400-1667235600@coe.northeastern.edu
SUMMARY:KRI Research Networking
DESCRIPTION:Please join us for all or part of a poster session/reception at which the NU Kostas Research Institute for Homeland Security research teams will present KRI research capabilities (facilities and staff expertise) in: \n\nGeospatial data analysis\nRF materials & devices\nUnmanned autonomous systems\nAdditive manufacturing\nFormulation chemistry\nAnd beyond (e.g. meeting space/support\, venture-stage facilities/equipment)\n\nOpen to the entire university.
URL:https://coe.northeastern.edu/event/kri-research-networking/
LOCATION:440 Egan\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
GEO:42.3396156;-71.0886534
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=440 Egan 360 Huntington Ave Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave:geo:-71.0886534,42.3396156
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221102
DTEND;VALUE=DATE:20221107
DTSTAMP:20260522T060036
CREATED:20220927T134618Z
LAST-MODIFIED:20220927T134618Z
UID:32803-1667347200-1667779199@coe.northeastern.edu
SUMMARY:SHPE 2022 NATIONAL CONVENTION
DESCRIPTION:Join Northeastern University in Charlotte\, NC for the annual SHPE (Society of Hispanic Professional Engineers) National Convention! \nNortheastern University and the Graduate School of Engineering will be in attendance at the Career Fair & Graduate School Expo from 10am-4pm on Friday and Saturday. We will also be hosting a Diversity and Inclusion Hospitality Suite on Thursday night from 7:30-9:30pm.
URL:https://coe.northeastern.edu/event/shpe-2022-national-convention/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221102T120000
DTEND;TZID=America/New_York:20221102T130000
DTSTAMP:20260522T060036
CREATED:20221019T135830Z
LAST-MODIFIED:20221019T135830Z
UID:33652-1667390400-1667394000@coe.northeastern.edu
SUMMARY:Engineered cellular models to explore human disease heterogeneity
DESCRIPTION:ChE Seminar Series Presents:  \nAlison McGuigan\, PhD \nProfessor\, Chemical Engineering & Applied Chemistry\, University of Toronto \nAbstract: \nEx vivo culture models provide powerful tools to interrogate the role of tumour heterogeneity in human cancers. Patient-derived organoids (PDOs) are emerging as powerful models to capture the genetic heterogeneity of human tumors. However\, extrinsic factors present in the tumor microenvironment (TME) of a tumour\, such as the presence of stromal cells and gradients of small molecules such as oxygen\, also affect cancer phenotype and response to therapy. This talk will describe tissue-engineered platforms we have developed 1) to enable controlled assembly and disassembly of organoid structures to study the impact of both genetic and microenvironmental heterogeneity on tumor cell behavior and 2) to explore tumour microenvironment remodelling\, heterogeneity in response to therapy\, and potential to re-grow after therapy. \nBio: \nDr. Alison McGuigan is a Professor in Chemical Engineering and Applied Chemistry and the Institute for Biomedical Engineering at University of Toronto. She obtained her undergraduate degree from University of Oxford\, her PhD from University of Toronto working\, and completed Post Doctoral Fellowships at Harvard University and Stanford School of Medicine. Dr. McGuigan research group is focused on the engineering of tissue models to explore mechanisms of disease and regeneration. Dr. McGuigan has established strategies to generate multi-component tissue systems with specified organization. Furthermore\, she has pioneered the design of tissue platforms for smart data acquisition\, with a focus on stratifying heterogeneous bulk data by cell population\, by spatial location\, or by time. In recognition of Dr. McGuigan’s work she has received numerous awards including the 2013 TERMIS-AM Young Investigator Award\, and the Canadian Society for Chemical Engineering Hatch Innovation Award. In 2018 was elected to the Royal Society of Canada-College of New Scholars\, Artists and Scientists and in 2022 she was elected a Fellow of TERM by the Tissue Engineering and Regenerative Medicine International Society. She serves on the executive leadership team of CFREF Medicine by Design program and on the Centre for Commercialization of Regenerative Medicine (CCRM) incubation and outreach committee.
URL:https://coe.northeastern.edu/event/engineered-cellular-models-to-explore-human-disease-heterogeneity/
LOCATION:236 Richards\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221102T120000
DTEND;TZID=America/New_York:20221102T130000
DTSTAMP:20260522T060036
CREATED:20221103T173443Z
LAST-MODIFIED:20221103T173443Z
UID:34202-1667390400-1667394000@coe.northeastern.edu
SUMMARY:Yuexi Zhang's PhD Proposal Review
DESCRIPTION:“Human Body and Activity Analysis” \nAbstract: \nHuman-related applications such as person detection\, human pose estimations and human activity recognition\, that always draw a lot of attentions in computer vision community. In this proposal\, we discuss several related topics that we are interested in\, and demonstrate how we improve the existing methods. The first problem we consider is video-based human pose estimation. For most general approaches\, researchers focus on collecting human poses from each frame independently and then associate them based on matching or tracking methods. However\, such the pipeline usually relies on complex computations and also consumes running time. To overcome such shortages\, we propose a light weighted network with the unsupervised training strategy\, that aims to reduce running time but remaining the performance. The next problem we explore is about cross-view action recognition (CVAR). The goal of CVAR is to recognize a human action when observed from a previously unseen viewpoint. This is important for some applications such as surveillance systems where is not practical or feasible to collect large amounts of training data when adding a new camera. In this case\, it requires methods that are able to generate reliable view-invariant information trained with given viewpoints and recognize the action from an unseen viewpoint. In general\, most approaches rely on 3D data\, but using 2D data is still under-discovered. Besides\, the performance of those approaches using only 2D data is far worse than 3D approaches. Therefore\, we propose a simple yet efficient CVAR framework that takes 2D data as input and close the performance gap between 3D and 2D input. The last problem we investigate is online action detection and we are interested in detecting action start at current stage. Online action start detection problem is to detect an action startpoint as soon as it occurs with its action category in untrimmed\, streaming videos\, and it has potential applications such as early alert generation in surveillance systems. The typical approaches usually heavily rely on frame-level annotations and also they are limited to pre-defined action categories. Therefore\, we propose a novel yet simple design\, 3D MLP-mxier based architecture that aims to detect the taxonomy-free action start without using frame-level annotations. \n  \nCommittee: \nDr. Octavia Camps(Advisor) \nDr. Mario Sznaier \nDr. Sarah Ostadabbas
URL:https://coe.northeastern.edu/event/yuexi-zhangs-phd-proposal-review/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221102T140000
DTEND;TZID=America/New_York:20221102T150000
DTSTAMP:20260522T060036
CREATED:20221103T173638Z
LAST-MODIFIED:20221103T173638Z
UID:34206-1667397600-1667401200@coe.northeastern.edu
SUMMARY:Kai Huang's PhD Dissertation Defense
DESCRIPTION:“Partitioning Data Across Multiple\, Network Connected FPGAs with High Bandwidth Memory to Accelerate Non-streaming Applications” \nAbstract:\nField Programmable Gate Arrays (FPGAs) are increasingly used in cloud computing to increase the run time of various applications. Flexibility\, efficiency and lower power enable FPGAs to be important components in modern data centers. Applications such as Secure Function Evaluation (SFE)\, graph processing\, and machine learning are increasingly mapped to FPGA-based adaptable cloud computing platforms. However\, due to resource limitations\, it is difficult to map applications to only one FPGA. Applications with a streaming data processing pattern can be mapped to a multiple-FPGA platform where the FPGAs are connected in a 1-D or ring topology\, thus communications overhead can be pipelined with computations. The communication\, merely passing data from boards to boards\, will not significantly affect the system performance if the bandwidth is sufficient. In a more general processing pattern involving non-streaming applications\, each FPGA is responsible for only a portion of the computation and the FPGAs must keep exchanging data during the run time of the application. The communication cost can be the bottleneck of such a system. The challenge is how to map and parallelize these applications to a multi-FPGA cloud computing platform in such a way that communication is minimized and speedup is maximized.\nIn this research\, we build a framework to map garbled circuit applications\, an implementation of SFE\, to a cloud computing platform that has FPGA cards attached to computing nodes. The FPGAs on the node are able to communicate directly through the network. The framework consists of two parts: hardware design and software preprocessing. The hardware design integrates with the Xilinx UDP network stack enabling the capability to exchange data through the network and thus bypassing the processor and its software stack. The framework also takes advantage of High Bandwidth Memory (HBM) for high off-chip memory throughput. The levels of memory hierarchy available on the FPGA are used for caching both local data and incoming and outgoing network data. Preprocessing will generate the reordered batches of each layer needed for processing\, efficient memory allocation and final memory layout. We also applied an effective partitioning algorithm to schedule executions to different FPGAs to minimize the communication between FPGAs. By generating different size of problems from the EMP-toolkit\, we can demonstrate that this hardware-software co-design framework achieves nearly optimal two times speedup on a two-FPGA setup compared to a one-FPGA implementation. We explore extremely large examples that cannot be mapped to one-FPGA\, proving that it is achievable to map large examples of billions of operations to this distributed heterogeneous system. \nCommittee: \nProf. Miriam Leeser(advisor) \nProf. Stratis Ioannidis(co-advisor) \nProf. Mieczyslaw Kokar
URL:https://coe.northeastern.edu/event/kai-huangs-phd-dissertation-defense/
END:VEVENT
END:VCALENDAR