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DTSTART;TZID=America/New_York:20221201T100000
DTEND;TZID=America/New_York:20221201T140000
DTSTAMP:20260405T042713
CREATED:20220824T134959Z
LAST-MODIFIED:20220824T134959Z
UID:32260-1669888800-1669903200@coe.northeastern.edu
SUMMARY:Postgrad Virtual Fair - Africa & Middle East
DESCRIPTION:Join the Graduate Admissions team at The Student World’s Virtual Postgrad Fair! Talk with an admissions representative and learn more about our graduate engineering programs. \nRegistration and event information may be found at the website below. We look forward to seeing you there!
URL:https://coe.northeastern.edu/event/postgrad-virtual-fair-africa-middle-east/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221201T150000
DTEND;TZID=America/New_York:20221201T160000
DTSTAMP:20260405T042713
CREATED:20221130T222237Z
LAST-MODIFIED:20221130T222237Z
UID:34635-1669906800-1669910400@coe.northeastern.edu
SUMMARY:Public Policy for Healthcare Cyber Security: Fireside Chat with Senator Mark Warner
DESCRIPTION:Zoom Registration Required: https://tinyurl.com/archimedes-warner \nFrom hospital floors to medical device manufacturing factory floors\, health care cybersecurity faces daunting challenges including unpatchable legacy medical devices\, ransomware disrupting patient care\, privacy breaches of patient records\, cybersecurity workforce development\, and basic cyber hygiene. U.S. Senator Mark Warner recently published a paper\, “Cybersecurity is patient safety: policy options in the health care sector.” Join a conversation with Senator Mark Warner and moderator Prof. Kevin Fu\, PhD\, of the Archimedes Center for Health Care and Medical Device Security presently at the University of Michigan. \nSenator Mark Warner was elected to the U.S. Senate in November 2008 and reelected to a third term in November 2020. He serves on the Senate Finance\, Banking\, Budget\, and Rules Committees as well as the Select Committee on Intelligence\, where he is the Chairman. He has a history of crafting legislation that addresses the cybersecurity challenges facing our nation. From 2002 to 2006\, he served as Governor of Virginia. The first in his family to graduate from college\, Mark Warner spent 20 years as a successful technology and business leader in Virginia before entering public office. An early investor in the cellular telephone business\, he co-founded the company that became Nextel and invested in hundreds of start-up technology companies that created tens of thousands of jobs. Senator Warner and his wife Lisa Collis live in Alexandria\, Virginia. They have three daughters. \nProf. Kevin Fu\, PhD\, founded the field of medical device security\, served as the nation’s first Acting Director of Medical Device Cybersecurity at the U.S. Food and Drug Administration\, and directs the Archimedes Center for Health Care and Medical Device Security at Michigan. Archimedes carries out higher education and academic research to protect Operational Technology (OT) cybersecurity of medical devices\, health care delivery\, and pharmaceutical factory floors. In 2023\, Prof. Kevin Fu and Archimedes join Northeastern University in Electrical & Computer Engineering in the College of Engineering and the Khoury College of Computer Sciences. \n 
URL:https://coe.northeastern.edu/event/public-policy-for-healthcare-cyber-security-fireside-chat-with-senator-mark-warner/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221202T080000
DTEND;TZID=America/New_York:20221202T170000
DTSTAMP:20260405T042713
CREATED:20220824T142336Z
LAST-MODIFIED:20220824T142336Z
UID:32266-1669968000-1670000400@coe.northeastern.edu
SUMMARY:First Year Engineering Expo
DESCRIPTION:Please come to the Curry Student Center indoor quad and pit on Friday\, December 2nd to see Northeastern’s First-Year Engineering Students’ inventive projects\, games\, and exhibits. \nStudents will showcase original board games\, interactive projects geared to teach children sustainability concepts\, and prolific prototypes to help solve a wide range of problems. \nEach project applies the engineering concepts introduced this past semester\, which includes the Engineering Design Process\, Solidworks\, AutoCAD\, Programming with C++ and Matlab\, and controlling microelectronics with Arduino.
URL:https://coe.northeastern.edu/event/first-year-engineering-expo-3/
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:20221205T100000
DTEND;TZID=America/New_York:20221205T110000
DTSTAMP:20260405T042713
CREATED:20221130T212546Z
LAST-MODIFIED:20221130T212546Z
UID:34619-1670234400-1670238000@coe.northeastern.edu
SUMMARY:Ramtin Khalili's PhD Dissertation Defense
DESCRIPTION:Abstract: \nState estimation is a critical application in energy management systems. Due to the increased penetration of inverter-based resources\, installed advanced infrastructure at all voltage levels\, and unconventional loads like electric vehicle charging stations\, a three-phase state estimator formulation is essential. The first issue is the convoluted formulation and modeling techniques that are required in three-phase systems studies. Moreover\, the size of network matrices expanded\, which makes the analysis computationally costly. This dissertation addresses this by proposing a new decoupled state estimation method. The idea is to exploit the linearity of measurement equations\, decompose the three-phase coupled equations into three independent modal measurement equations\, perform the state estimation independently for each mode\, and finally reconstruct the three-phase quantities. This method is applicable to both radial and meshed three-phase networks. Furthermore\, multi-phase structures can be handled by the new estimator\, which makes the approach practical when monitoring mixed-phase feeder sections is of interest. \nWhile utilities are investing in expanding the grid and installing more PMUs\, there might not be enough PMUs to make the network observable in all networks\, especially at lower voltage levels. So\, PMU-based linear state estimators are not always feasible. On the other hand\, SCADA measurements are available with adequate redundancy in most networks. However\, SCADA-based state estimation is nonlinear\, which brings various problems like divergence issues and significant CPU times. The computational complexity will be even worse if the three-phase state estimation is formulated based on SCADA measurements due to their nonlinear nature\, which makes modal decoupling impossible. So\, a new linear formulation has been proposed for both the positive-sequence and three-phase networks based on conventional measurements. This approach converts the nonlinear recursive problem into an iterative linear state estimation problem. \nThe inherent assumption in most of the state estimators is a perfect network model. However\, network parameter errors are susceptible to errors that can bias the state estimation solution. This can deceive the existing bad data tools as parameter errors appear as if multiple interacting measurement errors occur locally. So\, a two-stage method is proposed for parameter error identification and correction for large three-phase networks. A systematic PMU placement strategy is also proposed to ensure the detectability of parameter errors. The benefits of multi-area state estimation are demonstrated for the deregulated power grids for monitoring the local and boundary areas. It has also shown promising results in increasing the efficiency of state estimation using a distributed framework. Parameter and measurement errors can remain undetected as a result of weakened measurement redundancy on the boundaries. However\, boundary errors in the area boundaries will be detected due to measurement consolidation at the coordination level. \nCommittee:\nProf. Ali Abur (Advisor)\nProf. Bahram Shafai\nProf. Mahshid Amirabadi
URL:https://coe.northeastern.edu/event/ramtin-khalilis-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221205T180000
DTEND;TZID=America/New_York:20221205T190000
DTSTAMP:20260405T042713
CREATED:20221121T162732Z
LAST-MODIFIED:20221121T162732Z
UID:34498-1670263200-1670266800@coe.northeastern.edu
SUMMARY:Dialogues of Civilization: Biomedical Imaging in Chile
DESCRIPTION:If you are interested in a Summer 1 Dialogue on Biomedical imaging and Chilean Culture in Santiago\, there will be an info session on Monday 5 December\, at 6pm in 302 Stearns\, or on Zoom at \nhttps://northeastern.zoom.us/j/99185015932 \nMeeting ID: 991 8501 5932
URL:https://coe.northeastern.edu/event/dialogues-of-civilization-biomedical-imaging-in-chile/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221206T133000
DTEND;TZID=America/New_York:20221206T153000
DTSTAMP:20260405T042713
CREATED:20221115T215755Z
LAST-MODIFIED:20221115T215755Z
UID:34400-1670333400-1670340600@coe.northeastern.edu
SUMMARY:Enabling Engineering Fall Showcase
DESCRIPTION:Please come to the Enabling Engineering Fall Showcase on Tuesday\, December 6th\, 1:30 -3:30pm ET in 002 Ell Hall where students will present their design projects. \nEnabling Engineering is a Northeastern University student group that designs and builds devices to empower individuals with physical and cognitive disabilities. Our students collaborate with clients on projects that provide greater independence\, reduce medical burdens\, and increase social connectedness. We help family members\, clinicians\, and teachers care for people with disabilities. By giving students the opportunity to participate in Enabling Engineering projects\, we are training the next generation of engineers to be knowledgeable about\, and aware of\, the needs of individuals with disabilities.
URL:https://coe.northeastern.edu/event/enabling-engineering-fall-showcase/
LOCATION:002 Ell Hall\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
ORGANIZER;CN="Enabling Engineering":MAILTO:enable@coe.neu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221206T160000
DTEND;TZID=America/New_York:20221206T173000
DTSTAMP:20260405T042713
CREATED:20221205T210005Z
LAST-MODIFIED:20221205T210005Z
UID:34698-1670342400-1670347800@coe.northeastern.edu
SUMMARY:Md Navid Akbar's PhD Dissertation Defense
DESCRIPTION:“Inference from Brain Imaging: Incorporating Domain Knowledge and Latent Space Modeling” \nAbstract:\n\nBrain imaging can probe the anatomy (structural) of our brain\, or its function (functional). A particular imaging modality (unimodal) generally provides only a particular insight into human health. Transcranial magnetic stimulation (TMS)\, though still in its infancy as a brain imaging modality\, is such a functional\, unimodal technique. TMS helps model human motor-cortical mapping\, using corresponding muscle activity captured by surface electromyography (EMG)\, but it necessitates a reliable data-driven model. Earlier works have modeled the causal direction only (from cortical representation to muscles)\, or the inverse direction (from muscles to cortical representation)\, with simple statistical regression. We modeled this motor-cortical mapping bi-directionally in this dissertation\, using deep learning. We first modeled TMS-induced 3D electric field (E-field) in a brain to causal multi-muscle activation picked up by EMG\, in a regression task using a convolutional neural network (CNN) autoencoder. By fusing neuroscience domain knowledge (e.g.\, an empirical neural response profile)\, we reduced 14% squared error\, compared to the baseline model that did not contain this. We then designed our novel inverse imaging CNN model\, to reconstruct physiologically meaningful E-field distributions (in the image domain) from a given set of muscle activations (in the sensor domain). By adopting variational inference in the CNN model\, to learn the underlying latent space better\, we were able to reduce 13% in squared error over our purely CNN baseline. \nDiagnosis with brain imaging is often incomplete with a unimodal technique\, and having multiple sources (multimodal) may be advantageous. Successful multimodal fusion can provide more holistic information\, compared to its constituents. One relevant example is the classification of late post-traumatic seizure (LPTS). Previous works in this space have tackled LPTS classification with either unimodal functional imaging\, or non-machine learning (ML) structural modeling. In this dissertation\, we first undertook the ML classification of binary LPTS: with unimodal\, structural brain imaging\, namely diffusion magnetic resonance imaging (dMRI). By incorporating interpretable domain knowledge (post-traumatic lesion volume compensation)\, we improved 7% in the mean area under the curve (AUC) over the standard technique in literature. Finally\, we classified LPTS for a larger sample of subjects\, utilizing multimodal imaging\, including functional MRI (fMRI) and electroencephalography (EEG). Following unsupervised imputation for any missing modality within the subjects\, we introduced our novel multimodal fusion algorithm\, which attempts to leverage the underlying structure of the multivariate information. We found that our proposed algorithm improved by 7% in AUC performance\, over a naive Bayesian estimator that can handle missing data intrinsically.\nCollectively\, the work presented here demonstrated that incorporating domain knowledge in the modeling pipeline successfully improved inference. Similar improvements were also observed by learning and leveraging the possible underlying latent structure of the given information\, and adapting the models accordingly. \n\n\n\nCommittee:\n\nProf. Deniz Erdogmus (Advisor) \nProf. Mathew Yarossi (Co-advisor)\nProf. Dominique Duncan\nProf. Sarah Ostadabbas
URL:https://coe.northeastern.edu/event/md-navid-akbars-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221206T170000
DTEND;TZID=America/New_York:20221206T190000
DTSTAMP:20260405T042713
CREATED:20221128T164621Z
LAST-MODIFIED:20221128T164621Z
UID:34567-1670346000-1670353200@coe.northeastern.edu
SUMMARY:Offshore Wind Tech Week Network Reception
DESCRIPTION:This event will celebrate #OffshoreWindTechWeek – comprised of the National Offshore Wind R&D Symposium December 5 & 6 and the International Offshore Wind Technical Conference (IOWTC) December 7 & 8. \nThis networking reception will close out the 2022 Symposium and introduce the IOWTC\, happening the following days on December 7 & 8 at Northeastern University. All offshore wind industry professionals are welcome to attend\, regardless of whether they are attending Symposium or IOWTC. \n*Note – All in-person NOWRDC Symposium registrants are automatically registered for this networking reception. \nLocation: Alumni Center at Northeastern University\, 716 Columbus Ave\, Boston\, MA 02120 \nRegister
URL:https://coe.northeastern.edu/event/offshore-wind-tech-week-network-reception/
LOCATION:Alumni Center\, 716 Columbus Ave\, 6th Floor\, Boston\, MA\, 02120\, United States
GEO:42.3376775;-71.0852898
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Alumni Center 716 Columbus Ave 6th Floor Boston MA 02120 United States;X-APPLE-RADIUS=500;X-TITLE=716 Columbus Ave\, 6th Floor:geo:-71.0852898,42.3376775
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221206T203000
DTEND;TZID=America/New_York:20221206T220000
DTSTAMP:20260405T042713
CREATED:20221201T145802Z
LAST-MODIFIED:20221201T145802Z
UID:34643-1670358600-1670364000@coe.northeastern.edu
SUMMARY:The "Finals Cookie" with Dean Abowd
DESCRIPTION:Please join us for a relaxing evening before finals begin. We’ll provide hot chocolate and LOTS of cookies. \nHosted by the College of Engineering \nTuesday December 6th from 8:30 to 10:00 pm \nThe Tents at Robinson Quad
URL:https://coe.northeastern.edu/event/the-finals-cookie-with-dean-abowd/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221207T120000
DTEND;TZID=America/New_York:20221207T130000
DTSTAMP:20260405T042713
CREATED:20221205T144039Z
LAST-MODIFIED:20221205T144039Z
UID:34691-1670414400-1670418000@coe.northeastern.edu
SUMMARY:How green hydrogen is made
DESCRIPTION:ChE Seminar Series Presents: \nMarc T.M. Koper \nLeiden Institute of Chemistry \nLeiden University\, Leiden\, The Netherlands \nAbstract:  \nThe electrocatalytic production of hydrogen through water splitting is a necessary approach for storing (excess) renewable electricity as chemical energy in fuels\, and for making green hydrogen as a building block for the chemical industry. Here\, I will discuss recent advances and challenges in the mechanistic understanding of electrochemical H2 formation. Specifically\, I will show that H2O activation is influenced by an intricate interplay between surface structure (both on the nano- and on the mesoscale)\, electrolyte effects (pH\, ion effects) and mass transport conditions. This complex interplay is currently still far from being completely understood. \nBio: \nMarc Koper is Professor of Surface Chemistry and Catalysis at Leiden University\, The Netherlands. He received his PhD degree (1994) from Utrecht University (The Netherlands) with a thesis on nonlinear dynamics and oscillations in electrochemistry. He was an EU Marie Curie postdoctoral fellow at the University of Ulm (Germany) and a Fellow of Royal Netherlands Academy of Arts and Sciences (KNAW) at Eindhoven University of Technology\, before moving to Leiden University in 2005. His research in Leiden focuses on fundamental aspects of electrocatalysis\, theoretical and computational electrochemistry\, and electrochemical surface science\, in relation to renewable energy and chemistry. He has received various national and international awards\, among which the Spinoza Prize of the Netherlands Organization for Scientific Research (2021)\, Allen J. Bard Award for Electrochemical Science of The Electrochemical Society (2020)\, the Netherlands Catalysis and Chemistry Award (2019)\, and the Faraday Medal (2017) from the Royal Society of Chemistry. He is currently President of the International Society of Electrochemistry.
URL:https://coe.northeastern.edu/event/how-green-hydrogen-is-made/
LOCATION:236 Richards\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221207T130000
DTEND;TZID=America/New_York:20221207T140000
DTSTAMP:20260405T042713
CREATED:20221129T184142Z
LAST-MODIFIED:20221129T184142Z
UID:34605-1670418000-1670421600@coe.northeastern.edu
SUMMARY:12/7 IER Seminar Series: Steve Dorton - "Trust Dynamics with AI in High-Consequence Work Systems"
DESCRIPTION:Trust Dynamics with AI in High-Consequence Work Systems \nWednesday\, 12/7/2022 from 1 – 2 pm \nISEC 532 & Zoom\nZoom: https://northeastern.zoom.us/j/96750528112?pwd=Z3M0b1Z0QTZFaWM3QzZ5bC92SjFUZz09 \nSteve Dorton \nPrincipal Scientist for Sensemaking\, Decision Making\, and AI \nThe MITRE Corporation \nAbstract: \nArtificial Intelligence (AI) is often viewed as the means by which intelligence analysts will cope with the ever-increasing deluge of data from various sources. The best AI is moot\, however\, if analysts cannot trust the outputs of the AI to inform high-consequence decision making. A naturalistic study was performed to understand how intelligence professionals gain and lose trust in AI “in the wild.” The study assessed various trust factors proposed in the literature and identified various themes from interviews with intelligence professionals. We will discuss how to apply these findings to engineer more trustworthy AI for high-consequence decision applications. \nBio: \nSteve Dorton is a Principal Scientist for Sensemaking\, Decision Making\, and AI at the MITRE Corporation. His research generally falls at the intersection of the social and computational sciences\, focusing on how intelligent systems can help and harm human cognition in national security contexts. He also holds an adjunct lecturer appointment in the University of Maryland School of Public Policy\, where he teaches social\, ethical\, and policy considerations for AI and big data.
URL:https://coe.northeastern.edu/event/12-7-ier-seminar-series-steve-dorton-trust-dynamics-with-ai-in-high-consequence-work-systems/
LOCATION:532 ISEC\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221207T183000
DTEND;TZID=America/New_York:20221207T203000
DTSTAMP:20260405T042713
CREATED:20221128T160426Z
LAST-MODIFIED:20221128T164341Z
UID:34547-1670437800-1670445000@coe.northeastern.edu
SUMMARY:Forge Fall Showcase
DESCRIPTION:Come to Forge’s Fall Showcase to learn all about the amazing work that our Product Lab teams have completed this semester. \nForge a student-led initiative of the Sherman Center to help students learn about product development and entrepreneurship through hands-on project experience and tailored workshops. \nAs a part of Forge\, students solve problems in our community by developing solutions that make a lasting impact and develop skills through an engaging workshop and speaker series. \nThis semester\, our Product Lab teams have completed amazing projects all centered around the theme of musical exploration\, while learning transferrable skills within the field of entrepreneurial engineering. \nWe look forward to seeing everyone there!
URL:https://coe.northeastern.edu/event/forge-fall-showcase/
LOCATION:010 Hayden Hall\, 010 Hayden Hall\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
ORGANIZER;CN="Michael J. and Ann Sherman Center for Engineering Entrepreneurship Education":MAILTO:sherman@northeastern.edu
GEO:42.3394629;-71.0885286
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=010 Hayden Hall 010 Hayden Hall 360 Huntington Ave Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=010 Hayden Hall\, 360 Huntington Ave:geo:-71.0885286,42.3394629
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221208T110000
DTEND;TZID=America/New_York:20221208T120000
DTSTAMP:20260405T042713
CREATED:20221130T213045Z
LAST-MODIFIED:20221130T213045Z
UID:34624-1670497200-1670500800@coe.northeastern.edu
SUMMARY:Danlin Jia's PhD Dissertation Defense
DESCRIPTION:“Towards Performance and Cost-efficiency for Data-intensive Applications in Distributed Data Processing Systems” \nAbstract: \nData-intensive science (DIS) has experienced a significant boom in the past decade. The emerging technologies of data-intensive services and infrastructures contribute to DIS’s development and raise challenges. An ecosystem has been constructed considering performance\, scalability\, sustainability\, and reliability to provide a high-quality service to DIS applications. The ecosystem consists of services exposed to users for application deployment and infrastructures to support data storage\, transfer\, and management from the system’s perspective. DIS applications share typical features\, such as memory and I/O intensity. Thus\, addressing the bottlenecks triggered by memory-intensive or I/O-intensive workloads in services and infrastructures is essential to improve the performance and cost-efficiency of the whole ecosystem. In this dissertation\, we investigate the characteristics of various DIS applications and design new resource allocation and scheduling schemes for the services and infrastructures in the DIS ecosystem. \nWe first investigate memory optimization in DIS ecosystems. In-memory data analytic frameworks are proposed to cache critical intermediate data in memory instead of in storage drives. Apache Spark is a commonly adopted in-memory data analytic framework with two memory managers\, Static and Unified. However\, the static memory manager lacks flexibility. In contrast\, the unified memory manager puts heavy pressure on the garbage collection of the Java Virtual Machine on which Spark resides. To address these issues\, we propose a new learning-based bidirectional usage-bounded memory allocation scheme to support dynamic memory allocation considering both memory demands and latency introduced by garbage collection. Distributed data-processing workloads in container-based virtualization take advantage of resource sharing\, fast delivery\, and excellent portability of containerization but also suffer from resource competition and performance interference. This inevitably induces performance degradation and significantly long latency\, even worse when over-provisioning. Motivated by this problem\, we design an efficient memory allocation scheme (RITA) for containerized parallel systems to improve data processing latency. RITA monitors applications’ memory usage and cache characteristics and dynamically re-allocates memory resources. \nWe also propose I/O optimizations for DIS applications and infrastructures. Distributed Deep Learning (DDL) accelerates DNN training by distributing training workloads across multiple computation accelerators\, e.g.\, GPUs. Although a surge of research has been devoted to optimizing DDL training\, the impact of data loading on GPU usage and training performance has been relatively under-explored. When multiple DDL applications are deployed\, the lack of a practical and efficient technique for data-loader allocation incurs GPU idleness and degrades the training throughput. In this dissertation\, we thus investigate the impact of data-loading on the global training throughput and design a resource allocator that uses the data-loading rate as a knob to reduce the GPU idleness. Finally\, designs and optimizations on disaggregated storage systems supported by cutting-edge storage and network techniques emerge dramatically. Disaggregated storage systems can scale resources independently and provide high-quality services for hyper-scale architectures. The traditional congestion control mechanism relieves congestion by limiting the data-sending rate of senders. However\, such a design scarifies the storage drive’s performance as data are generated but stalled on storage host nodes if network congestion happens. To solve this issue\, we design a storage-side rate control mechanism to mitigate network congestion while avoiding sacrificing I/O performance. \nCommittee: \nProf. Ningfang Mi (Advisor) \nProf. Xue Lin \nProf. David Kaeli
URL:https://coe.northeastern.edu/event/danlin-jias-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221208T140000
DTEND;TZID=America/New_York:20221208T160000
DTSTAMP:20260405T042713
CREATED:20221202T151226Z
LAST-MODIFIED:20221202T151226Z
UID:34671-1670508000-1670515200@coe.northeastern.edu
SUMMARY:Chuangtang Wang's PhD Proposal Review
DESCRIPTION:“All-optical Control of Magnetization in Nanostructures” \nCommittee: \nProf. Yongmin Liu (Advisor) \nProf. Don Heiman \nProf. Nian X. Sun \nAbstract:\nThe switching of magnetization by a femtosecond laser within several picoseconds has recently gained substantial attention\, because it promises next-generation\, energy-efficient\, and high-rate data storage technology. One of the most intriguing demonstrations is the helicity-dependent switching (HD-AOS) of a ferromagnet\, in which the magnetization states can be deterministically written and erased using left- and right-circularly polarized light. However\, the challenge is to realize a single-pulse HD-AOS. Controlling the spin angular momentum transfer from light to magnetic materials in nanostructures is the key to advance this field.\nIn my thesis research work\, I will study the all-optical control of magnetization in different nanostructures\, aiming to better understand the underlying mechanisms of HD-AOD and accelerate the technology development. Firstly\, helicity-driven magnetization dynamics in heavy metal/ferromagnet Au(Pt)/Co bilayer by the optical spin transfer torque (OSTT) is experimentally explored. The wavelength-dependent measurement of OSTT reveals that the quantum efficiency of OSTT strongly depends on the interface electronic structure and pump energy. The Inverse Faraday effect (IFE)\, which is believed to be the driving mechanism of HD-AOS\, is subsequently investigated in an Au thin film. The dependence of IFE on photon energy implies that the orbital angular momentum contribution to IFE is dominated by the excitation of laser pulses. To the best of our knowledge\, it is the first demonstration of this phenomenon. Lastly\, I will discuss our recent results on plasmonics-enhanced all-optical control of magnetization. Light can be tightly confined in plasmonic structures\, which can potentially enable low-energy and high-density magnetic data storage.
URL:https://coe.northeastern.edu/event/chuangtang-wangs-phd-proposal-review/
LOCATION:138 ISEC\, 360 Huntington Ave\, 138 ISEC\, Boston\, MA\, 02115\, United States
GEO:42.3401758;-71.0892797
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221208T160000
DTEND;TZID=America/New_York:20221208T170000
DTSTAMP:20260405T042713
CREATED:20221206T183809Z
LAST-MODIFIED:20221206T183858Z
UID:34709-1670515200-1670518800@coe.northeastern.edu
SUMMARY:The Quantum Age: From Bell Pairs to Quantum Computers
DESCRIPTION:Nobel Physics Colloquium 12.8 @4pm \nEvery year\, the Physics Department celebrates the Nobel Prize in Physics by inviting a renowned expert in the field of the awardees to introduce the ideas and advances that lead to their nomination. This year\, we are fortunate to host Prof. Vladan Vuletić\, from MIT\, and expert in quantum optics and emergent quantum technologies such as quantum computers. \nSpeaker: Prof. Vladan Vuletić\, MIT \nTitle: The Quantum Age: From Bell Pairs to Quantum Computers \nAbstract: Quantum mechanics has not one but two mysteries: the double-slit experiment and quantum correlations (entanglement) between two or more particles. Criticized by Einstein as “spooky action at a distance”\, entanglement is now seen as an essential part of the physical world\, in part thanks to the recipients of the 2022 Nobel Prize. The Bell inequalities\, introduced in 1964 to experimentally distinguish local hidden variable theories from quantum physics\, have been confirmed to agree with quantum mechanics in the Nobel-Prize winning and many other experiments. \nBuilding on entangled Bell pairs\, the last few years have seen a remarkable development in our ability to control many neutral atoms individually\, and induce controlled interactions between them on demand. This progress ushers in a new era where one can create highly entangled states of many particles\, break certain limits for quantum sensors\, or study quantum phase transitions. I will present results on quantum sensing enhanced by entanglement\, and on quantum simulation with atomic arrays containing more than 250 atoms. Finally\, I will discuss prospects for near- and medium-term neutral-atom quantum computers with full quantum error correction. \nBio: Professor V. Vuletić earned the Physics Diploma with highest honors from the Ludwig-Maximilians-Universität München\, and in 1997\, a Ph.D. in Physics (summa cum laude) from the same institution. While a postdoctoral researcher with the Max-Planck Institute for Quantum Optics in Garching\, Germany\, Professor Vuletić accepted a Lynen Fellowship at Stanford University in 1997. In 2000\, he was appointed an Assistant Professor in the Department of Physics at Stanford and in June 2003 accepted an Assistant Professorship in Physics at MIT. He was promoted to Associate Professor in July 2004. He was promoted to Full Professor in July 2011. \nResearch Interests include laser cooling and trapping\, quantum physics\, quantum entanglement\, quantum optics\, quantum information processing. The idea of the research of the Vuletić group is to develop new methods to manipulate many-body states in a regime where the quantum mechanical aspects dominate their behavior and their properties. On the one hand\, this should lead to new tools that allow one to probe physical laws and to measure fundamental constants with increasing precision. On the other hand\, the progress of experimental methods also drives the advances in our understanding of the ever mysterious\, beautiful\, accurate\, yet deeply dissatisfying structure of quantum mechanics. This interplay between theoretical concepts and experimental realizations promises to be very fertile in fields such as quantum control\, quantum feedback and its limits\, many-particle quantum systems\, and many-particle entanglement (quantum computing). We use various methods\, but most include laser-cooled atoms (to be able to keep atoms localized\, and attain long coherence time) and laser-light interaction to manipulate the atoms\, the photons\, or both\, at the quantum level. Using internal states of atoms in combination with laser light\, which has essentially zero entropy\, allows us to reduce thermal noise without having to cool the atoms to very low (sub-microkelvin) temperatures. \nProf. Vuletić was awarded by Lester Wolfe Career Development Chair in 2003\, Alfred P. Sloan Research Fellowship in 2003-2004\, and APS Fellowship “for pioneering advances across AMO physics\, including quantum information and precision measurement with atomic ensembles\, cavity QED\, atomic collisions and Casimir forces for atom condensates near surfaces” in 2012. He is one of the founders of QuEra Computing\, a Boston-based company developing quantum computers based on neutral Rydberg atoms. \n168 Snell Engineering Center or Zoom
URL:https://coe.northeastern.edu/event/the-quantum-age-from-bell-pairs-to-quantum-computers/
LOCATION:168 SN\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221208T180000
DTEND;TZID=America/New_York:20221208T190000
DTSTAMP:20260405T042713
CREATED:20221202T143650Z
LAST-MODIFIED:20221202T143650Z
UID:34663-1670522400-1670526000@coe.northeastern.edu
SUMMARY:Summer 1\, 2023 Panama DOC: International Applications of Fluid Mechanics – Info Session
DESCRIPTION:If you are interested in learning fluid mechanics through relevant examples in an international setting in a Dialogue Of Civilization (DOC) program this summer in Panama\, please join the Zoom Info Session on Thursday\, December 8th at 6:00 pm. By participating in this program\, you will gain an international perspective on the real-life applications of fluid mechanics\, while learning about the culture and history of this burgeoning and diverse Latin America country. This program will take place in Summer 1\, 2023 and will include travel to 3 relevant engineering projects (including the Panama Canal) in different locations in Panama. Two courses are offered under this program: \n\nME 3480 – International Applications of Fluid Mechanics (4SH; equivalent to ME 3475\, ME degree core course requirement)\nStudies fundamental principles in fluid mechanics in an international setting. Students have an opportunity to travel to a foreign locale to develop theoretical understanding while experiencing the issues that affect applications of fluids engineering in a culture and environment different from their own. Topics include hydrostatics (pressure distribution\, forces on submerged surfaces\, and buoyancy); Newton’s law of viscosity; dimensional analysis; integral forms of basic laws (conservation of mass\, momentum\, and energy); pipe flow analysis; differential formulation of basic laws including Navier-Stokes equations; and the concept of boundary layer and drag coefficient.\n\n\nME 4699 – Special Topics in Mechanical Engineering: Fluid Mechanics Engineering Analysis within the Socio-Cultural\, Political and Economic History of Panama (4SH)\nThis course is designed for college undergraduate students who are interested in addressing and analyzing fluid mechanics related engineering problems and solutions in the context of the traditions\, cultures\, and socioeconomic and political history of Panama\, seeking to obtain a solid grasp on the historical developments of the country and their effects on contemporary fluid mechanics engineering projects and issues.\n\nThe courses and program will be taught and run by Prof. Carlos Hidrovo Chavez. \nPlease visit the program website for more information.
URL:https://coe.northeastern.edu/event/summer-1-2023-panama-doc-international-applications-of-fluid-mechanics-info-session-3/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221209T110000
DTEND;TZID=America/New_York:20221209T130000
DTSTAMP:20260405T042713
CREATED:20221130T213204Z
LAST-MODIFIED:20221130T213204Z
UID:34626-1670583600-1670590800@coe.northeastern.edu
SUMMARY:Bin Sun's PhD Dissertation Defense
DESCRIPTION:“Factorization guided Lightweight Neural Networks for Visual Analysis” \nCommittee: \nProf. Yun Fu (Advisor) \nProf. Ming Shao \nProf. Lili Su \nAbstract: \nDeep learning has become popular in recent years primarily due to powerful computing devices such as GPUs. However\, many applications such as face alignment\, image classification\, and gesture recognition need to be deployed to multimedia devices\, smartphones\, or embedded systems with limited resources. Thus\, there is an urgent need for high-performance but memory-efficient deep learning models. For this\, we design several lightweight deep learning models for different tasks with factorization strategies. \nSpecifically\, we constructed a lightweight face alignment model by proposing a factorization-based deep convolution module named Depthwise Separable Block (DSB) and a light but practical module based on the spatial configuration of the faces. Experiments on four popular datasets verify that Block Mobilenet has better overall performance with less than 1MB storage size.\nBesides the face analysis application\, we also explored a general\, lightweight deep learning module for image classification with low-rank pointwise residual (LRPR) convolution\, called LRPRNet. Essentially\, LRPR aims at using a low-rank approximation to factorize the pointwise convolution while keeping depthwise convolutions as the residual module to rectify the LRPR module. Moreover\, our LRPR is quite general and can be directly applied to many existing network architectures. \nDue to the success of the factorization strategy on image-based data\, we extended factorization on time sequence data for Sign Language Recognition (SLR). We achieved the first rank in the challenge of SLR with the help of our proposed novel Separable Spatial-Temporal Convolution Network (SSTCN)\, which divides a 3D convolution on joint features into several stages \, which help the SSTCN achieve higher accuracy with fewer parameters. \nWe also tried to factorize the features for single image super resolution (SISR). Factorization on features will reduce the feature size in order to reduce the computation costs. However\, the reduction of the spatial size is counter-intuitive for the super resolution task. With our exploration\, we demonstrated a network named Hybrid Pixel-Unshuffled Network (HPUN)\, which factorized the features to achieve the lightweight purpose while keeping high performance. Specifically\, we utilized pixel-unshuffle operation to factorize the input features. After the factorization\, we improved the performance by the grouped convolution\, max-pooling\, and self-residual. The experiments on popular benchmarks showed that the factorization strategy could achieve SOTA performance on SISR.
URL:https://coe.northeastern.edu/event/bin-suns-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221209T120000
DTEND;TZID=America/New_York:20221209T133000
DTSTAMP:20260405T042713
CREATED:20221130T212737Z
LAST-MODIFIED:20221130T212840Z
UID:34621-1670587200-1670592600@coe.northeastern.edu
SUMMARY:Alexey Tazin's PhD Dissertation Defense
DESCRIPTION:“Composition of UML Class Diagrams Using Category Theory and External Constraints” \nAbstract:\nIn large software development projects there is always a need for refactoring and optimization of the design. Usually software designs are represented using UML diagrams (e.g class diagrams). A software engineering team may create multiple versions of class diagrams satisfying some external constraints. In some cases\, subdiagrams of the developed diagrams can be selected and combined into one diagram. It is difficult to perform this task manually since manual process is very time consuming\, is prone to human errors\, and is not manageable for large projects. In this dissertation we present an algorithmic support for automating the generation of composed diagrams\, where the composed diagram satisfies a given collection of external constraints and is optimal with respect to a given objective function. The composition of diagrams is based on the colimit operation from category theory. The developed approach was verified experimentally by generating random external constraints (expressed in SPARQL and OWL)\, generating random class diagrams using these external constraints\, generating composed diagrams that satisfy these external constraints\, and computing class diagram metrics for each composed diagram. \nCommittee: \nProf. Mieczyslaw Kokar (Advisor) \nProf. David Kaeli \nDr. Jeff Smith
URL:https://coe.northeastern.edu/event/alexey-tazins-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221215T090000
DTEND;TZID=America/New_York:20221215T110000
DTSTAMP:20260405T042713
CREATED:20221212T201124Z
LAST-MODIFIED:20221212T201124Z
UID:34756-1671094800-1671102000@coe.northeastern.edu
SUMMARY:Daniel Uvaydov's PhD Proposal Review
DESCRIPTION:“Real-Time Spectrum Sensing for Inference and Control”\n\nAbstract:\nSpectrum sensing can enable the next generation of wireless applications ranging from opportunistic spectrum access to cognitive radio networks. The key unaddressed challenges of spectrum sensing are that (i) it has to be performed with extremely low latency over varying bandwidths and must guarantee strict real-time processing constraints; (ii) its underlying algorithms need to be extremely accurate\, and flexible enough to work with different wireless bands and protocols to find application in real-world settings. We address these challenges in multiple wireless applications by utilizing Deep Learning techniques as the main vehicle of spectrum sensing for both inference and control. By leveraging mechanisms such as data augmentation\, channel attention\, voting\, and segmentation we are able to push beyond the capabilities of existing Deep Learning techniques and create generalizable spectrum sensing algorithms. Furthermore we deploy different spectrum sensing solutions in real testbeds for over the air evaluations and applicable proof-of-concepts.\n\n\nCommittee:\n\nProf. Tommaso Melodia (Advisor) \nProf. Francesco Restuccia\nProf. Kaushik Chowdhury
URL:https://coe.northeastern.edu/event/daniel-uvaydovs-phd-proposal-review/
LOCATION:432 ISEC\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
GEO:42.3396156;-71.0886534
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=432 ISEC 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;TZID=America/New_York:20221216T130000
DTEND;TZID=America/New_York:20221216T140000
DTSTAMP:20260405T042713
CREATED:20220909T174339Z
LAST-MODIFIED:20220909T174339Z
UID:32499-1671195600-1671199200@coe.northeastern.edu
SUMMARY:COE FacDev Friday: Award Compliance 101
DESCRIPTION:
URL:https://coe.northeastern.edu/event/coe-facdev-friday-award-compliance-101/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221216T140000
DTEND;TZID=America/New_York:20221216T150000
DTSTAMP:20260405T042713
CREATED:20221215T160806Z
LAST-MODIFIED:20221215T160806Z
UID:34803-1671199200-1671202800@coe.northeastern.edu
SUMMARY:Ali Al Qaraghuli's PhD Proposal Review
DESCRIPTION:“Terahertz Communication for Space Systems” \nAbstract: \nWith the ultimate vision of ubiquitous egalitarian worldwide coverage driven by the rapid proliferation of high-speed satellite networks\, private companies are launching satellites into orbit at unprecedented rates. The main goal of such networks enabled by dense constellations in space is to build a more robust telecommunications infrastructure and provide worldwide internet access to users on Earth. Similarly\, small satellites are included in the vision of non-terrestrial networks (NTN) for 6G networks which promise for more connectivity on Earth. The significant projected traffic in the orbital uplink\, downlink\, and crosslink communication will demand more spectrum to suit more users and satisfy the need for higher data rates. Similarly\, the push towards using smaller satellites in the form of CubeSats will require the hardware to be more compact than ever. This introduces the terahertz band (0.1-10THz) as a candidate technology to satisfy both large bandwidth and device compactness requirements due to the smaller wavelength of terahertz signals. These two advantages\, however\, come at the cost of high propagation losses and impose the use of very high-gain directional antennas\, leading to limitations in constellation network design. This proposal evaluates terahertz communication in space in contrast to competitor technologies such as microwaves and free-space optical communication\, and establishes the feasibility of terahertz networks in space. Next\, the areas of research and innovation required to realize terahertz space communication systems are identified and explored. Finally\, advancements in those areas are presented\, and the next steps are identified to transform terahertz space communication systems into reality. \n  \nCommittee: \nProf. Josep Jornet (advisor) \nProf. Tommaso Melodia \nProf. Kaushik Chowdhury
URL:https://coe.northeastern.edu/event/ali-al-qaraghulis-phd-proposal-review/
LOCATION:432 ISEC\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
GEO:42.3396156;-71.0886534
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=432 ISEC 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;TZID=America/New_York:20230105T130000
DTEND;TZID=America/New_York:20230105T150000
DTSTAMP:20260405T042713
CREATED:20221206T145130Z
LAST-MODIFIED:20221206T145130Z
UID:34704-1672923600-1672930800@coe.northeastern.edu
SUMMARY:Library Webinar: Python and Text Analysis for Absolute Beginners
DESCRIPTION:Pondering Python? Tantalized by text analysis? Wondering how Jupyter notebooks work? Read on! \nIn this hands-on session\, attendees will learn some basic Python while working in Jupyter notebooks\, an interactive web tool for running and writing about code. Next\, we’ll use Python and Jupyter to run a simple text analysis on a custom dataset built with Constellate\, a text mining platform for building and analyzing textual datasets from sources such as JSTOR\, Portico\, Chronicling America\, and Reveal Digital. We will close by discussing opportunities to further expand attendees’ coding and text analysis skills after the session. \nNo prior experience with Python\, JSTOR\, or Jupyter is necessary\, and no programming skills are needed or assumed for this session. \nRegister at the Northeastern University Library events calendar. \nPlease note: \n\nThis session will not be recorded. If you’re interested in learning the material but don’t plan to attend\, please don’t register for the session as seats are limited. We welcome you to access and work through our workshop materials available via this link.\n\nThis event is co-sponsored by the NULab for Texts\, Maps\, and Networks (CSSH) and Research Data Services (Northeastern University Library). Please contact Jen Ferguson with any questions.
URL:https://coe.northeastern.edu/event/library-webinar-python-and-text-analysis-for-absolute-beginners/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230110T180000
DTEND;TZID=America/New_York:20230110T190000
DTSTAMP:20260405T042713
CREATED:20221202T143610Z
LAST-MODIFIED:20221202T143610Z
UID:34666-1673373600-1673377200@coe.northeastern.edu
SUMMARY:Summer 1\, 2023 Panama DOC: International Applications of Fluid Mechanics – Info Session
DESCRIPTION:If you are interested in learning fluid mechanics through relevant examples in an international setting in a Dialogue Of Civilization (DOC) program this summer in Panama\, please join the Zoom Info Session on Tuesday\, January 10th at 6:00 pm. By participating in this program\, you will gain an international perspective on the real-life applications of fluid mechanics\, while learning about the culture and history of this burgeoning and diverse Latin America country. This program will take place in Summer 1\, 2023 and will include travel to 3 relevant engineering projects (including the Panama Canal) in different locations in Panama. Two courses are offered under this program: \n\nME 3480 – International Applications of Fluid Mechanics (4SH; equivalent to ME 3475\, ME degree core course requirement)\nStudies fundamental principles in fluid mechanics in an international setting. Students have an opportunity to travel to a foreign locale to develop theoretical understanding while experiencing the issues that affect applications of fluids engineering in a culture and environment different from their own. Topics include hydrostatics (pressure distribution\, forces on submerged surfaces\, and buoyancy); Newton’s law of viscosity; dimensional analysis; integral forms of basic laws (conservation of mass\, momentum\, and energy); pipe flow analysis; differential formulation of basic laws including Navier-Stokes equations; and the concept of boundary layer and drag coefficient.\n\n\nME 4699 – Special Topics in Mechanical Engineering: Fluid Mechanics Engineering Analysis within the Socio-Cultural\, Political and Economic History of Panama (4SH)\nThis course is designed for college undergraduate students who are interested in addressing and analyzing fluid mechanics related engineering problems and solutions in the context of the traditions\, cultures\, and socioeconomic and political history of Panama\, seeking to obtain a solid grasp on the historical developments of the country and their effects on contemporary fluid mechanics engineering projects and issues.\n\nThe courses and program will be taught and run by Prof. Carlos Hidrovo Chavez. \nPlease visit the program website for more information.
URL:https://coe.northeastern.edu/event/summer-1-2023-panama-doc-international-applications-of-fluid-mechanics-info-session-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230111T100000
DTEND;TZID=America/New_York:20230111T120000
DTSTAMP:20260405T042713
CREATED:20230104T162321Z
LAST-MODIFIED:20230104T162321Z
UID:34919-1673431200-1673438400@coe.northeastern.edu
SUMMARY:Yukui Luo's PhD Proposal Review
DESCRIPTION:“Securing FPGA as a Shared Cloud-Computing Resource: Threats and Mitigations” \nAbstract:\nWith the widespread adoption of cloud computing\, the demand for programmable hardware acceleration devices\, such as field-programmable gate array (FPGA)\, has increased. To further improve the performance of FPGA-enabled cloud computing\, one promising technology is to virtualize the hardware resources of an FPGA device\, which allows multiple users to share the same FPGA. This solution can provide on-demand instances at the FPGA resource and time levels\, significantly improving the utilization and energy efficiency of the FPGA devices. However\, due to the hardware reconfigurability of FPGA\, current virtualization methods for multi-tenant GPU and TPU instances are incompatible with multi-tenant FPGA virtualization.We define the threat model for multi-tenant FPGA and discuss the security issues related to Confidentiality\, Data Integrity\, and Availability. Based on an analysis of potential attacks\, we present our latest research results and propose two future research directions for mitigations: (1) a multi-tenant FPGA plug-to-play obfuscation module and (2) a hardware-software co-designed multi-tenant FPGA virtualization system\, which includes a hypervisor and a smart multi-tenant FPGA platform.\n\n\nCommittee:\n\nProf. Xiaolin Xu (Advisor) \nProf. Yunsi Fei\nProf. Xue Lin
URL:https://coe.northeastern.edu/event/yukui-luos-phd-proposal-review/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230112T133000
DTEND;TZID=America/New_York:20230112T150000
DTSTAMP:20260405T042713
CREATED:20230105T182821Z
LAST-MODIFIED:20230105T182821Z
UID:34950-1673530200-1673535600@coe.northeastern.edu
SUMMARY:NSF TIP Presentation
DESCRIPTION:You are invited to a special presentation by Dr. Erwin Gianchandani\, Assistant Director of the newly-formed Directorate for Technology\, Innovation and Partnerships (TIP) within the U.S. National Science Foundation\, focused on the TIP vision and upcoming opportunities with the new directorate. The presentation (with plenty of time for Q&A) is set to take place on Thursday\, January 12th from 1.30-3PM at Northeastern’s Boston Campus\, in the Auditorium of the Interdisciplinary Science and Engineering Complex (ISEC)\, 805 Columbus Ave. \nFollowing the session\, the community will have an opportunity to sign up for office hours with Dr. Becky Shearman\, Program Director for TIP. \nVisit tip2023.sites.northeastern.edu  to RSVP for the presentation and sign up for the office hour slots. \n****Please share this invitation broadly with other interested parties (this event is open to the entire Boston area) and encourage them to a) RSVP for the presentation and b) sign up for one of the office hour slots with our TIP visitors. Now that TIP is an official entity at NSF and has a direct budget\, there will be plenty of opportunities to discuss specific programs or ideas with them directly.
URL:https://coe.northeastern.edu/event/nsf-tip-presentation/
LOCATION:ISEC Auditorium\, 805 Columbus Ave\, Boston\, MA\, 02115\, United States
GEO:42.3377049;-71.0870109
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=ISEC Auditorium 805 Columbus Ave Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=805 Columbus Ave:geo:-71.0870109,42.3377049
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230112T173000
DTEND;TZID=America/New_York:20230112T183000
DTSTAMP:20260405T042713
CREATED:20221214T213943Z
LAST-MODIFIED:20221214T213943Z
UID:34775-1673544600-1673548200@coe.northeastern.edu
SUMMARY:COE Global Co-op Information Session
DESCRIPTION:Join the College of Engineering Global Co-op team in learning about global co-op opportunities for Summer II/ Fall 2023. Topics discussed will include: \n\nSearch techniques and global positions in your field\nWhat to consider when interested in a global co-op\nInformation on logistics\, including health and safety\nTips and resources for self-developing global positions\nStudent perspective from previous global co-op participants\n\nLocation: Shillman 305 \nAttendance to one of these sessions is required if you plan to do a global co-op in Summer II/ Fall 2023. Please reach out to Sally Conant\, Global Co-op Coordinator\, s.conant@northeastern.edu or Kristina Kutsukos\, Global Co-op Coordinator\, k.kutsukos@northeastern.edu for additional information.
URL:https://coe.northeastern.edu/event/coe-global-co-op-information-session-7/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230113T130000
DTEND;TZID=America/New_York:20230113T140000
DTSTAMP:20260405T042713
CREATED:20221215T160712Z
LAST-MODIFIED:20230105T181524Z
UID:34806-1673614800-1673618400@coe.northeastern.edu
SUMMARY:COE FacDev Friday: Award Compliance 101
DESCRIPTION:Concur got you frustrated? Is that charge allowable? Attend the Compliance seminar hosted by the COE Post Award team to learn all about research compliance and your portfolio. Nothing says research without compliance! \nRSVP
URL:https://coe.northeastern.edu/event/coe-facdev-friday-award-compliance-101-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230114
DTEND;VALUE=DATE:20230123
DTSTAMP:20260405T042713
CREATED:20230112T193659Z
LAST-MODIFIED:20230112T193659Z
UID:35019-1673654400-1674431999@coe.northeastern.edu
SUMMARY:Alpha Kappa Psi Spring 2023 Rush
DESCRIPTION:Open to all Majors! Come rush the oldest and largest co-ed professional business fraternity. Our next event is an Info Session and Resume Workshop on Monday\, January 16th 8-10pm at 104 West Village G. Check out our Instagram @akpsi_neu for more details!
URL:https://coe.northeastern.edu/event/alpha-kappa-psi-spring-2023-rush/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230115T180000
DTEND;TZID=America/New_York:20230115T200000
DTSTAMP:20260405T042713
CREATED:20230110T214438Z
LAST-MODIFIED:20230110T214814Z
UID:34991-1673805600-1673812800@coe.northeastern.edu
SUMMARY:Leadership Development Workshop
DESCRIPTION:Earn The Gordon Undergraduate Leadership Development Workshop Certificate\nThis engineering leadership workshop is designed for Northeastern University undergraduate engineering students during their second co-op experience. Workshop sessions are hosted during the spring and summer semesters and are designed to be completed in parallel with co-op. \nThe program includes a series of engineering leadership development activities focused on expanding leadership skills\, engaging in more meaningful interactions with their supervisors\, and taking active roles in shaping their overall co-op experiences. \nThe primary objective of the workshop is to enhance the value of Northeastern’s world-renowned cooperative education (co-op) program for Northeastern undergraduate engineering students. The workshop offers a supplementary curriculum that makes engineering leadership advancement a focus of the co-op experience. \nRegister
URL:https://coe.northeastern.edu/event/leadership-development-workshop/2023-01-15/
LOCATION:431 Stearns\, 431 Stearns Center\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
ORGANIZER;CN="Gordon Engineering Leadership program":MAILTO:gordonleadership@northeastern.edu
GEO:42.3389991;-71.0913737
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=431 Stearns 431 Stearns Center 360 Huntington Ave Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=431 Stearns Center\, 360 Huntington Ave:geo:-71.0913737,42.3389991
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230118T173000
DTEND;TZID=America/New_York:20230118T183000
DTSTAMP:20260405T042713
CREATED:20221214T213825Z
LAST-MODIFIED:20221214T213825Z
UID:34777-1674063000-1674066600@coe.northeastern.edu
SUMMARY:COE Global Co-op Information Session!
DESCRIPTION:Join the College of Engineering Global Co-op team in learning about global co-op opportunities for Summer II/ Fall 2023. Topics discussed will include:\n\n\nSearch techniques and global positions in your field\nWhat to consider when interested in a global co-op\nInformation on logistics\, including health and safety\nTips and resources for self-developing global positions\nStudent perspective from previous global co-op participants\n\nLocation: Snell Engineering 108 \nAttendance to one of these sessions is required if you plan to do a global co-op in Summer II/ Fall 2023. Please reach out to Sally Conant\, Global Co-op Coordinator\, s.conant@northeastern.edu or Kristina Kutsukos\, Global Co-op Coordinator\, k.kutsukos@northeastern.edu for additional information.
URL:https://coe.northeastern.edu/event/coe-global-co-op-information-session-6/
LOCATION:108 SN
END:VEVENT
END:VCALENDAR