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X-WR-CALDESC:Events for Northeastern University College of Engineering
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DTSTART;VALUE=DATE:20210510
DTEND;VALUE=DATE:20210515
DTSTAMP:20260512T021527
CREATED:20210421T202724Z
LAST-MODIFIED:20210421T203805Z
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SUMMARY:Huskies Wellness Week
DESCRIPTION:Welcome to Huskies Wellness Week\, a personal retreat that will leave you feeling refreshed and empowered from the comfort of your own home. Build some ‘you time’ into your days through a lineup of exclusive programming\, hosted by the Northeastern Boston Community. Share your progress with our Instagram gameboard—designed for us to stay on track together—for the chance to win a prize. \nHow do I play? \nOn Sunday\, May 9 we’re posting a gameboard on our Instagram account for the chance to win a $100 gift card to the bookstore. Complete 7 squares for one entry into our challenge\, and 10 squares for two entries. Send us a screenshot of the gameboard with your completed tiles checked off or with pictures of your activity overlayed on top by the following Sunday\, May 16 at 12pm EST to be entered into the raffle. \nThe winner will be selected on Monday\, May 17 by 12pm EST and contacted via email by Ilana Gensler\, MA’19\, Assistant Director\, Affinity and Domestic Engagement. \nYour completed board can be sent directly to @northeastern_alumni through direct message on Instagram. Be sure to share your progress throughout the week on Instagram by tagging @northeastern_alumni. \nWhat if I have a private account?\nUpon registering you will be asked to provide your Instagram handle. You will receive a follow-request ahead of Huskies Wellness Week. \nSessions\nViewing in Eastern Time \n\n\n\nActivate your Full Potential\n5/10/21\n8:30 AM-9:30 AM ET \nLeena Prabhoo\, MEd’90\nManaging Partner\nPath to Prajñā\nSolutions LLP \nEnhance your personal and professional wellness by learning how to activate your full potential. This session will explore what it means to be living your full potential and give you the tools to act so you can make it a reality. Learn about some of the benefits you can gain from this process and develop your personal game-plan for moving forward on this journey.\n\n\n\nMeditation to Cultivate Peace of Mind\n5/12/21\n3:00 PM-4:00 PM ET \nStacy Hernandez\, AS’98\, MS’01\nOwner/College\nCounselor\nThe Best U \nSettle in for a 40-minute meditation session to cultivate peace of mind in service of your mental health. When you dedicate time exploring within\, you learn to listen to your inner voice rather than the influences outside of you. This internal reconnection can help you activate the power you have inside of yourself to stay grounded and bring enhanced mindfulness to every element of your life as you move through each day.\n\n\n\nMOVE by The Handle Bar\n5/14/21\n8:00 AM-8:45 AM ETAnthony Charter\nIndoor Cycling Instructor\nThe Handle Bar Indoor Cycling Studio \nMOVE is a 45-minute\, total-body workout that combines high-intensity plyometric movement with slow-burning kettlebell strength work. It fuses The Handle Bar’s passion for music-driven exercise with thoughtful programming that complements and enhances the studio’s work on the bike. Class will be accessible for 48 hours after it goes Live at the time of the event.\n\n\n\nVinyasa Flow Yoga\n5/14/21\n12:00 PM-12:30 PM ET \nH Alex Harrison\, JD’11\nYoga Instructor\nBeacon Hill Yoga \nMake space both physically and mentally as we explore and connect with our bodies through the synthesis of yoga\, movement\, breath\, and mindfulness exercises. Expect to flow through traditional yoga postures as we explore the intricacies of skeletal alignment and the muscular engagement required to link pose to pose\, and end with a restful savasana.\n\n\n\n\nRegister Now
URL:https://coe.northeastern.edu/event/huskies-wellness-week/
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20210513
DTEND;VALUE=DATE:20210515
DTSTAMP:20260512T021527
CREATED:20210513T192140Z
LAST-MODIFIED:20210513T192140Z
UID:25946-1620864000-1621036799@coe.northeastern.edu
SUMMARY:AMGEN Lecture Series: Biotechnology Edge
DESCRIPTION:This two-day lecture series is presented by AMGEN scientists\, in partnership with the School of Pharmacy and Bouvé College of Health Sciences Dean’s office. It will provide participants with an overview of the drug development process\, as well as the biotechnology industry and potential career paths. Lectures will be presented live online.  Recording is not allowed. See the full program below. \nThe lectures will be in real time on WebEx.  A link will be sent to everyone who has registered. Attendees of the two-day lecture series will be eligible to earn a Badge. \nRSVP \n\n\n\n\n\n\n\nThursday May 13th 2021\, 9.00 am – 4.30 pm\n\n\n9.00\nIntroduction\n\n\n9.10\nLife of a Drug\, Roger Hart\, PhD\n\n\n10.00\nDrug Discovery at Amgen: A Multi‐Modality Approach\, Roger Hart\, PhD\n\n\n10.50\nBreak and Informational Session\n\n\n11.10\nProcess Development from Clinic to Approval\, Jennifer Litowski\,Process Development Principal Scientist\n\n\n12.00\nLunch and Learn\n\n\n1.00\nTarget Identification & Validation\, John Ferbas\, PhD\,\n\n\n1.50\nIntroduction to Pharmaceutical Solid-State Chemistry and MaterialsScience\, Hyunsoo Park\, Process Development Principal  Scientist\n\n\n2.40\nBreak\n\n\n2.50\nFrom Bench to Bedside: Discovery of the First FDA‐ ApprovedAntibody Therapeutic for Migraine\, Cen Xu\, PhD\n\n\n3.40\nThe Role of Continuous Manufacturing to Advance Amgen’s SyntheticPortfolio\, Matt Beaver\, Principal Scientist\n\n\n\n\n\n\nFriday\, May 14th 2021\, 9.00 am – 4.30 pm\n\n\n9.00\nIntroduction\n\n\n9.10\nDrug Safety: An Industry Perspective Oluwadamilola Ogunyankin\,MD\,MPH\n\n\n10.00\nModeling of Processes\, Products and Devices for Drug Development &Manufacturing\, Pablo Rolandi\, Director Data Sciences\n\n\n10.50\nBreak and Informational Session\n\n\n11.10\nRaw Material Selection and Control for ManufacturingPharmaceuticals\, Susan Burke\, PhD\n\n\n12.00\nLunch and Learn\n\n\n1.00\nOncology\, Kristin Tarbell\, Principal Scientist\n\n\n1.50\nInnovations in Device Technologies for Delivering Biologics to Patients\,Shirish Ingawale\, PhD\n\n\n2.40\nBreak\n\n\n2.50\nDigital Transformation in Biopharmaceutical Operations\, Myra Coufal\,PhD\n\n\n3.40\nCareers in Biotech\, Jessica  Smith\,  Process  Development  AssociateScientist
URL:https://coe.northeastern.edu/event/amgen-lecture-series-biotechnology-edge/
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DTSTART;TZID=America/New_York:20210513T140000
DTEND;TZID=America/New_York:20210513T150000
DTSTAMP:20260512T021527
CREATED:20210503T135624Z
LAST-MODIFIED:20210510T135607Z
UID:25648-1620914400-1620918000@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Siyue Wang
DESCRIPTION:PhD Proposal Review: Towards Robust and Secure Deep Learning Models and Beyond \nSiyue Wang \nLocation: Zoom Link \nAbstract: Modern science and technology witness the breakthroughs made by deep learning during the past decades. Fueled by rapid improvements of computational resources\, learning algorithms\, and massive amount of data\, deep neural networks (DNNs) have played a dominant role in more and more real-world applications. Nonetheless\, there is a spring of bitterness mingling with this remarkable success – recent studies reveals that there are two main security threats of DNNs which limit its widespread usage: 1) the robustness of DNN models under adversarial attacks\, and 2) the protection and verification of intellectual properties of well-trained DNN models. \nIn this dissertation\, we fist focus on the security problems of how to build robust DNNs under adversarial attacks\, where deliberately crafted small perturbations added to the clean input can lead to wrong prediction results with high confidence. We approach the solution by incorporating stochasticity into DNN models. We propose multiple schemes to harden the DNN models when facing adversarial threats\, including Defensive Dropout (DD)\, Hierarchical Random Switching (HRS)\, and Adversarially Trained Model Switching (AdvMS). \nThe second part of this dissertation focuses on how to effectively protect the intellectual property for DNNs and reliably identify their ownership. We propose Characteristic Examples (C-examples) for effectively fingerprinting DNN models\, featuring high-robustness to the well-trained DNN and its derived versions (e.g. pruned models) as well as low-transferability to unassociated models. The generation process of our fingerprints does not intervene with the training phase and no additional data are required from the training/testing set.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-siyue-wang/
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