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:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20191103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
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
END:VTIMEZONE
BEGIN:VTIMEZONE
TZID:Europe/London
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20200329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20201025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20211031T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20221030T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20201015
DTEND;VALUE=DATE:20201231
DTSTAMP:20260523T183700
CREATED:20201015T142444Z
LAST-MODIFIED:20201015T142444Z
UID:22804-1602720000-1609372799@coe.northeastern.edu
SUMMARY:Meet Your Graduate Student Ambassadors!
DESCRIPTION:Meet your Student Ambassadors! Prospective and Admitted Graduate Students are invited to meet their Student Ambassador via Unibuddy.
URL:https://coe.northeastern.edu/event/meet-your-graduate-student-ambassadors/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201216T080000
DTEND;TZID=America/New_York:20201216T090000
DTSTAMP:20260523T183700
CREATED:20201210T155207Z
LAST-MODIFIED:20201210T155207Z
UID:23452-1608105600-1608109200@coe.northeastern.edu
SUMMARY:Cooperative Education Webinar
DESCRIPTION:You’re invited to learning more about the Graduate Cooperative Education program in the College of Engineering. The webinar will feature a talk by Assistant Dean of Co-op\, Lorraine Mountain. \nCooperative education has been a historical strength of Northeastern University’s experiential learning brand. Each year students at every level and on every campus location participate in this signature model of experiential learning. \nOur global presence spans all seven continents allowing our co-op employer partners and students alike to gain early access in tapping the increasingly competitive job market on a global stage. Northeastern’s vast network yields a multitude of global cooperative education opportunities across all industries and sectors. \n  \nWEBINAR DETAILS: \nTopic: Co-op at Northeastern University\nDate: Wednesday\, December 16\nTime: 8:00 – 9:00 AM EST \n  \nWEBINAR REGISTRATION INSTRUCTIONS: \nhttps://us02web.zoom.us/webinar/register/WN_gfvqKoxIQfOHhLYnattN5g
URL:https://coe.northeastern.edu/event/cooperative-education-webinar/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201216T093000
DTEND;TZID=America/New_York:20201216T103000
DTSTAMP:20260523T183700
CREATED:20201214T144558Z
LAST-MODIFIED:20201214T144558Z
UID:23477-1608111000-1608114600@coe.northeastern.edu
SUMMARY:ECE MS Thesis Defense: Jinghan Zhang
DESCRIPTION:MS Thesis Defense: Allocating One Common Accelerator-Rich Platform for Many Streaming Applications \nJinghan Zhang \nLocation: Zoom Link \nAbstract: Many demanding streaming applications share functional and structural similarities with other applications in their respective domain\, e.g. video analytics\, software-defined radio\, and radar. This opens the opportunity for specialization (e.g. heterogeneous computing) to achieve the needed efficiency and/or performance. However\, current Design Space Exploration (DSE) focuses on an individual application in isolation (e.g. one particular vision flow)\, but not a set of similar applications. Hence\, optimizations that occur due to considering multiple applications simultaneously are missed. New DSE methodologies and tools are needed with a broader scope of application sets instead of individual applications.\nThis thesis introduces a novel Domain DSE approach focusing on streaming applications. Key contributions are: (1) a formalized method to extract the functional and structural similarities of domain applications\, (2) domain application generation to provide enough synthetic domains as study cases\, (3) a rapid platform performance estimation and comparison at two abstraction levels: Domain Score (DS) and Analytic Performance Estimation (APE) model\, (4) a methodology to evaluate a platform’s benefit for a set of applications\, and (5) two novel algorithms\, Dynamic Score Selection (DSS) and GenetIc Domain Exploration (GIDE)\, for hardware/software partitioning of a domain-specific platform to maximize the throughput across domain applications (under certain constraints).\nThis thesis demonstrates DSS’s and GIDE’s benefits using OpenVX applications and synthetic domains. The DSS and GIDE generated domain-specific platforms improve performance over application-specific platforms by 58%\, and 75% for OpenVX\, as well as by 23% and 48% for synthetic applications. GIDE’s platforms reach 99.8% (OpenVX) and 97.6% (synthetic) throughput of the domain optimal platform obtained through exhaustive search.
URL:https://coe.northeastern.edu/event/ece-ms-thesis-defense-jinghan-zhang/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201216T100000
DTEND;TZID=America/New_York:20201216T110000
DTSTAMP:20260523T183700
CREATED:20201209T190641Z
LAST-MODIFIED:20201209T190641Z
UID:23441-1608112800-1608116400@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Majid Sabbagh
DESCRIPTION:PhD Proposal Review: The perils of shared computing: A hardware security perspective \nMajid Sabbagh \nLocation: Teams Link \nAbstract: The enormous computation power of modern processors and accelerators has rendered them shared computing resources for multiple users and applications\, both in the cloud and on the edge. Despite software techniques for security such as virtualization and containers\, recently a new attack surface is emerging that pertains to the hardware vulnerabilities of shared computing resources\, posing serious threats to shared computing.\nFault attacks (FAs) and Side-Channel Attacks (SCAs) are two hardware-oriented attacks that target the system implementations. FAs aim to tamper the integrity of application execution through different fault injection methods\, to compromise the data or disrupt computation at run-time. SCAs exploit the information leakage of sensitive applications in physical parameters\, such as power consumption\, electromagnetic emanations\, and timing\, to breach the confidentiality of the application. \nIn this dissertation\, we introduce a new class of FAs against Graphics Processing Units (GPUs)\, called overdrive fault attacks. We discover the security vulnerability of GPU’s voltage-frequency scaling (VFS) mechanism\, a common feature to balance power consumption and performance. An out-of-specification configuration of GPU voltage and frequency can be set by an adversary on the host CPU\, through the software interfaces to GPU’s power management units. This setting will cause timing violations for the computation and result in silent data corruptions (SDCs). We apply the overdrive fault attacks on two common victim applications. One is cryptographic applications accelerated by GPU. We launch a differential fault analysis (DFA) attack on an AES kernel running on an AMD RX 580 GPU and successfully recover the secret key. The other victim is deep neural network (DNN) inference. In modern GPUs that support multiple kernels\, the adversary is able to track the execution of the victim DNN through shared resources and control the timing of fault injections precisely. We launch a successful attack on a convolutional neural network kernel running on an NVIDIA RTX 2080 SUPER GPU with misclassifications. We further study the characteristics of fault injections and the fault propagation through the network.\nWe evaluate a timing side-channel attack called Prime+Probe attack on Central Processing Units (CPUs) and propose a Side-Channel Attack DEtection Tool (SCADET). SCADET is a methodology and a tool that analyzes an x86 program’s memory accesses. It records and analyzes the memory accesses using dynamic binary instrumentation by running the program in a controlled environment to accurately identify the malicious access patterns corresponding to the Prime+Probe attack.\nFinally\, I propose an FPGA-based RISC-V processor prototype as an evaluation platform for various cache timing attacks and transient attacks\, and implement a taint tracking-based countermeasure against transient attacks. For the first phase\, we have ported spectre v1 and v2 and return-stack-buffer attack to the SonicBOOM RISC-V processor.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-majid-sabbagh/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201216T100000
DTEND;TZID=America/New_York:20201216T110000
DTSTAMP:20260523T183700
CREATED:20201214T144420Z
LAST-MODIFIED:20201214T144420Z
UID:23474-1608112800-1608116400@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Hongjia Li
DESCRIPTION:PhD Proposal Review: Automation Design and DNN Acceleration Algorithms: From Software Implementation to Hardware Physical Design \nHongjia Li \nLocation: Zoom Link \nAbstract: Deep learning has been growing at a fast pace in recent years and has been expanded into many application fields\, with a wide range from image recognition\, object detection to medical applications. Meanwhile\, edging devices such as mobile devices are rapidly becoming the central computer and carrier for deep learning tasks. However\, real-time execution has been limited due to the computation/storage resource constraints on these devices.\nIn this proposal review\, I will dive into some aspects of DNN acceleration methods\, including model compression techniques and software implementation optimizations. The goal is to achieve an unprecedented\, real-time performance of large-scale neural network inference on edging devices. Additionally\, an efficient physical design automation design is introduced for Adiabatic Quantum-Flux-Parametron (AQFP) circuits\, meeting the unique features and constraints.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-hongjia-li/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201216T140000
DTEND;TZID=America/New_York:20201216T150000
DTSTAMP:20260523T183700
CREATED:20201204T205159Z
LAST-MODIFIED:20201204T205159Z
UID:23400-1608127200-1608130800@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Pu Zhao
DESCRIPTION:PhD Proposal Review: Towards Robust Image Classification with Deep learning and Real-Time DNN Inference on Mobile \nPu Zhao \nLocation: Zoom Link \nAbstract: As the rapidly increasing popularity of deep learning\, deep neural networks (DNN) have become the fundamental and essential building blocks in various applications such as image classification and object detection. However\, there are two main issues which potentially limit the wide application of DNNs: 1) the robustness of DNN models raises security concerns\, and 2) the large computation and storage requirements of DNN models lead to difficulties for its wide deployment on popular yet resource-constrained devices such as mobile phones.\nTo investigate the DNN robustness\, we explore the DNN attack\, robustness evaluation and defense. More specifically\, for DNN attack\, we achieve various attack goals (e.g. adversarial examples and fault sneaking attacks) with different algorithms (e.g. alternating direction method of multipliers (ADMM) and natural gradient descent (NGD) attacks) under various conditions (white-box and black-box attacks). For robustness evaluation\, we propose a fast evaluation method to obtain the model perturbation bound such that any model perturbation within the bound does not alter the model classification outputs or incur model mis-behaviors. For the DNN defense\, we investigate the defense performance with model connection techniques and successfully mitigate the fault sneaking and backdoor attacks.\nWith a deeper understanding of the DNN robustness\, we further explore the deployment problem of DNN models on edge devices with limited resources. To satisfy the storage and computation limitation on edge devices\, we adopt model pruning to remove the redundancy in models\, thus reducing the storage and computation during inference. Besides\, as some applications have real-time requirements with high inference speed sensitivities such as object detection on autonomous cars\, we further try to implement real-time DNN inference for various DNN applications on mobile devices with pruning and compiler optimization. To summary\, we mainly investigate the DNN robustness and implement real-time DNN inference on the mobile.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-pu-zhao/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201216T140000
DTEND;TZID=America/New_York:20201216T150000
DTSTAMP:20260523T183700
CREATED:20201209T190756Z
LAST-MODIFIED:20201209T190756Z
UID:23443-1608127200-1608130800@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Amirreza Farnoosh
DESCRIPTION:PhD Proposal Review: Unsupervised Learning of Low-Dimensional Dynamical Representations from Spatiotemporal Data \nAmirreza Farnoosh \nLocation: Zoom Link \nAbstract: Ever-improving sensing technologies offer a fast and accurate collection of large-scale spatiotemporal data\, recorded from multimodal sensors of heterogeneous natures\, in various application domains\, ranging from medicine and biology to robotics and traffic control. In this proposal\, we are learning the underlying representation of these data in an unsupervised manner\, tailored towards several emerging applications\, namely indoor navigation and mapping\, neuroscience hypothesis testing\, and time series segmentation and forecasting.\nAs such\, (1) we present an unsupervised framework for real-time depth and view-angle estimation from an inertially augmented video recorded from an indoor scene by employing geometric-based machine learning and deep learning models. (2) We introduce a hierarchical deep generative factor analysis framework for temporal modeling of neuroimaging datasets. Our model approximates high dimensional data by a product between time-dependent weights and spatially dependent factors which are in turn represented in terms of lower dimensional latents. This framework can be extended to perform clustering in the low dimensional temporal latent or perform factor analysis in the presence of a control signal. (3) We present a deep switching dynamical system for dynamical modeling of multidimensional time-series data. Specifically\, we employ a deep vector auto-regressive latent model switched by a chain of discrete latents to capture higher-order multimodal latent dependencies. This results in a flexible model that (i) provides a collection of potentially interpretable states abstracted from the process dynamics\, and (ii) performs short- and long-term vector time series prediction in a complex multi-relational setting.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-amirreza-farnoosh/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201217T080000
DTEND;TZID=America/New_York:20201217T090000
DTSTAMP:20260523T183700
CREATED:20201103T155743Z
LAST-MODIFIED:20201103T155743Z
UID:23039-1608192000-1608195600@coe.northeastern.edu
SUMMARY:IEM-sponsored virtual event: Is It Safe to Return to Campus?
DESCRIPTION:December 17: IEM-sponsored virtual event: Is It Safe to Return to Campus? \n8:00 AM EST \nJoin link: This event will be run via Unibuddy. Connect with our ambassadors + learn the platform here. \nAudience: All admits for Spring\, 2021 including deferrals from a previous term.
URL:https://coe.northeastern.edu/event/iem-sponsored-virtual-event-is-it-safe-to-return-to-campus/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201217T140000
DTEND;TZID=America/New_York:20201217T150000
DTSTAMP:20260523T183700
CREATED:20201209T190522Z
LAST-MODIFIED:20201209T190522Z
UID:23439-1608213600-1608217200@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Kaidi Xu
DESCRIPTION:PhD Proposal Review: Towards Empirical Implementation and Theoretical Analysis in Adversarial Machine Learning \nKaidi Xu \nLocation: Zoom Link \nAbstract: Deep learning or deep neural networks (DNNs) have achieved extraordinary performance in many application domains such as image classification\, object detection and recognition\, natural language processing and medical image analysis. It has been well accepted that DNNs are vulnerable to adversarial attacks\, which raises concerns of DNNs in security-critical applications and may result in disastrous consequences. Adversarial attacks are usually implemented by generating adversarial examples\, i.e.\, adding sophisticated perturbations\nonto benign examples\, such that adversarial examples are classified by the DNN as target (wrong) labels instead of the correct labels of the benign examples. The adversarial machine learning aims to study this phenomenon and leverage it to build robust machine learning systems and explain DNNs.\nIn this dissertation\, we present the mechanism of adversarial machine learning in both empirical and theoretical ways. Specifically\, we first introduce a uniform adversarial attack generation framework\, structured attack (StrAttack)\, which explores group sparsity in adversarial perturbations by sliding a mask through images aiming for extracting key spatial structures. Second\, we discuss the feasibility of adversarial attacks in the physical world and introduce a powerful framework\, Expectation over Transformation (EoT). Utilize EoT with Thin Plate Spline (TPS) transformation\, we can generate Adversarial T-shirts\, a robust physical adversarial example for evading person detectors even if it could undergo non-rigid deformation due to a moving person’s pose changes.\nThird\, we stand on the defense side and propose the first adversarial training method based on Graph Neural Network.\nFinally\, we introduce Linear relaxation based perturbation analysis (LiRPA) for neural networks\, which computes provable linear bounds of output neurons given a certain amount of input perturbation.\nLiRPA studies the adversarial example in a theoretical way and can guarantee the test accuracy of a model by given perturbation constraints.\nIn the future\, we plan to study a novel patch transformer network to truthfully model real-world physical transformations empirically. In addition\, at the formal robustness direction\, we plan to explore the complete verification\, that given sufficient time\, the verifier should give a definite “yes/no” answer for a property under verification. Our LiRPA framework combining with GPUs may accelerate this procedure.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-kaidi-xu/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201218T180000
DTEND;TZID=America/New_York:20201218T193000
DTSTAMP:20260523T183700
CREATED:20201214T145001Z
LAST-MODIFIED:20201214T145001Z
UID:23488-1608314400-1608319800@coe.northeastern.edu
SUMMARY:CEE Graduate Student Game Night
DESCRIPTION:Join the Civil and Environmental Engineering Department Graduate Students for a Game Night!\n12/18 @ 6 PM on Zoom. \nOur plan is to have three breakout rooms of games including trivia\, scribble\, and among us. Members of GSC will be in the lobby chatting and coordinating break out rooms. Come hang & play with us!
URL:https://coe.northeastern.edu/event/cee-graduate-student-game-night/
ORGANIZER;CN="Civil & Environmental Engineering":MAILTO:civilinfo@coe.neu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210104
DTEND;VALUE=DATE:20210201
DTSTAMP:20260523T183700
CREATED:20201208T145218Z
LAST-MODIFIED:20201208T145218Z
UID:23430-1609718400-1612137599@coe.northeastern.edu
SUMMARY:Lifelong Learning: On Demand – Innovative Uses of Artificial Intelligence
DESCRIPTION:The Office of Alumni Relations is hosting “Lifelong Learning: On Demand – Innovative Uses of Artificial Intelligence”. Be introduced to a few innovative uses of AI in the fields of healthcare\, computers\, and robotics. Learn from Northeastern faculty experts Craig Johnson and Taskin Padir. This complimentary\, online program is available to you on demand from January 4 to 31. An opportunity to earn a non-credit digital badge is available. \nRegister Now
URL:https://coe.northeastern.edu/event/lifelong-learning-on-demand-innovative-uses-of-artificial-intelligence/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210104T170000
DTEND;TZID=America/New_York:20210104T180000
DTSTAMP:20260523T183700
CREATED:20210106T184318Z
LAST-MODIFIED:20210106T184318Z
UID:23586-1609779600-1609783200@coe.northeastern.edu
SUMMARY:GWiSE Book Club
DESCRIPTION:Graduate Women in Science and Engineering is hosting a winter break Book Club! We will be reading sections from “All We Can Save: Truth\, Courage\, & Solutions for the Climate Crisis” by Ayana Elizabeth Johnson and Katharine Keeble Wilkinson. \nThis book is a collection of provocative and illuminating essays from women at the forefront of the climate movement who are harnessing truth\, courage\, and solutions to lead humanity forward. We will be selecting a few of the book’s essays to discuss each week\, so you won’t need to read the whole book front to back! \nWe will be meeting weekly on Mondays starting on 1/4/2021 with the choice between 5 PM – 6 PM and 8 PM – 9 PM EST to accommodate all of our members in different time zones across the globe. \nYou may purchase the book if you wish. We submitted a purchase request for an e-book through the university library\, but it was unfortunately declined. The full e-book is available through most public library systems. Please check with your public library! It is available through the Boston Public Library system. \nTo accommodate members who do not have access to the full book\, PDFs of the selected essays will be shared. \nPlease fill out this form to be included in future updates!
URL:https://coe.northeastern.edu/event/gwise-book-club/2021-01-04/
ORGANIZER;CN="GWiSE%3A Graduate Women in Science and Engineering":MAILTO:gwise.neu@gmail.com
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210107
DTEND;VALUE=DATE:20210118
DTSTAMP:20260523T183700
CREATED:20201103T160300Z
LAST-MODIFIED:20210111T165144Z
UID:23023-1609977600-1610927999@coe.northeastern.edu
SUMMARY:Program-Specific Orientations
DESCRIPTION:Admitted students to Spring 2021 entry are invited to hold their calendars for their program-specific orientations which will take place between January 7-January 17th. \nOrientation Schedule
URL:https://coe.northeastern.edu/event/program-specific-orientations/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210107T080000
DTEND;TZID=America/New_York:20210107T080000
DTSTAMP:20260523T183700
CREATED:20201103T160340Z
LAST-MODIFIED:20201103T160340Z
UID:23021-1610006400-1610006400@coe.northeastern.edu
SUMMARY:IEM-sponsored virtual event: Last Minute Questions Before Your Arrival
DESCRIPTION:January 7: IEM-sponsored virtual event: Last Minute Questions Before Your Arrival \n8:00 AM EST \nJoin link: This event will be run via Unibuddy. Connect with our ambassadors + learn the platform here. \nAudience: All admits for Spring\, 2021 including deferrals from a previous term.
URL:https://coe.northeastern.edu/event/iem-sponsored-virtual-event-last-minute-questions-before-your-arrival/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210107T100000
DTEND;TZID=America/New_York:20210107T110000
DTSTAMP:20260523T183700
CREATED:20201223T145635Z
LAST-MODIFIED:20201223T145635Z
UID:23574-1610013600-1610017200@coe.northeastern.edu
SUMMARY:Grad Applicant Webinar: Emerging Fields in Civil and Environmental Engineering
DESCRIPTION:The Department of Civil and Environmental Engineering at Northeastern University is pleased to present to you the second installment in our Graduate Programs in Civil and Environmental Engineering Webinar Series. \nThis webinar\, titled Emerging Fields in Civil and Environmental Engineering\, will provide you with a deep-dive led by our professors into our MS in Engineering and Public Policy\, MS in Sustainable Building Systems\, and our Data and Systems concentration for our MS and PhD in Civil Engineering. Come learn how these unique interdisciplinary programs are preparing students for pressing societal challenges and emerging opportunities. \nThis webinar is hosted by Associate Professor Matthew Eckelman\, developer of the MS in Engineering and Public Policy\, Associate Professor David Fannon\, Faculty Advisor for the MS in Sustainable Building Systems\, and the Faculty Advisor for our Data and Systems program\, Assistant Professor Amy Mueller. \nLocated in Boston\, Massachusetts\, New England’s largest city\, Northeastern University is a wonderful place to study and live. Our city is home to world-class entertainment\, restaurants\, and sporting venues\, a diverse and dynamic economy\, and thriving community of academic institutions. \nThis webinar will feature an application fee waiver code for those who have not yet applied. Please be aware of our application deadlines. Therefore\, it is highly recommended that you prepare your application materials as soon as possible. \nGraduate Programs in Civil and Environmental Engineering Webinar 2: Emerging Fields in CEE \nThursday\, January 7\, 2021 \n10:00 – 11:00 AM EST \nRegister Here
URL:https://coe.northeastern.edu/event/grad-applicant-webinar-emerging-fields-in-civil-and-environmental-engineering/
ORGANIZER;CN="Civil & Environmental Engineering":MAILTO:civilinfo@coe.neu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20210107T120000
DTEND;TZID=Europe/London:20210107T130000
DTSTAMP:20260523T183700
CREATED:20201222T170502Z
LAST-MODIFIED:20201222T170502Z
UID:23556-1610020800-1610024400@coe.northeastern.edu
SUMMARY:Caracoglia Part of International Panel to Discuss Bridge Aerodynamics
DESCRIPTION:The fourth in the series of international seminars organized by the University of Birmingham\, UK and sponsored by the IAWE (International Association for Wind Engineering)\, will take place on Thursday 7th January  2021 at 12.00 noon UK time. \nThe seminar is entitled “Developments in Bridge Aerodynamics”. The program will be as follows. \nMain Speaker: Prof John Owen\, School of Engineering\, University of Nottingham\, United Kingdom\, The Response of Bridges to Wind – Some Lessons from Monitoring Large Bridges \nShort presentations: \nProf. Steve Cai\, Louisiana State University\, USA\, Time domain simulation of turbulence effects on the aerodynamic flutter of long span bridges. \nProf. Claudio Mannini\, University of Florence\, Italy\, Nonlinear modelling of self-excited forces for a long-span bridge under turbulent wind. \nProf. Ole Andre Øiseth\, Norwegian University of Science and Technology. Lessons learned from long-term wind and acceleration monitoring of the Hardanger Bridge. \nProf. Luca Caracoglia\, Northeastern University\, Boston\, USA\, Relevance of Uncertainty Quantification to Study Wind Load Variability and its Effects on Long-Span Bridge Aeroelasticity. \nThis is a tremendous achievement. The top researchers in the world\, in the field of long-span bridge aerodynamics\, will talk to an audience of experts and PhD students from around the world (usually 300 people)\, who will be connected via ZOOM. \nRefer to seminar page for more information including instructions for seminar registration\, abstracts of the talks and biographical details of the speakers\, including Prof. Luca Caracoglia.
URL:https://coe.northeastern.edu/event/caracoglia-part-of-international-panel-to-discuss-bridge-aerodynamics/
CATEGORIES:use the department, audience, and topic lists
ORGANIZER;CN="Civil & Environmental Engineering":MAILTO:civilinfo@coe.neu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210108T090000
DTEND;TZID=America/New_York:20210108T120000
DTSTAMP:20260523T183700
CREATED:20201209T144537Z
LAST-MODIFIED:20210107T205840Z
UID:23435-1610096400-1610107200@coe.northeastern.edu
SUMMARY:Ask Your Ambassador Anything Session for Graduate School of Engineering
DESCRIPTION:You are invited to a live chat for all graduate engineering programs at Northeastern University! This is designed for prospective students to ask any questions they may have including the application process\, coursework\, student life\, and more! This chat will be moderated by current student ambassadors and is hosted on the Unibuddy platform.
URL:https://coe.northeastern.edu/event/ask-your-ambassador-anything-session-for-graduate-school-of-engineering/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210108T140000
DTEND;TZID=America/New_York:20210108T150000
DTSTAMP:20260523T183700
CREATED:20210107T163951Z
LAST-MODIFIED:20210107T163951Z
UID:23625-1610114400-1610118000@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Sungho Kang
DESCRIPTION:PhD Proposal Review: Metamaterial Absorbers for Infrared Sensing Microsystems \nSungho Kang \nLocation: Zoom \nAbstract: Infrared (IR) spectroscopic sensing has become a key technique in multidisciplinary environments such as military applications\, industrial safety control\, and smart homes\, by providing an accurate and non-disruptive analysis of the target objects. Recently the demand for high performance and compact IR spectroscopy systems has been steadily growing due to the advent of Internet of Things and the burgeoning development of miniaturized sensors. The key challenge lies in realizing high performance IR detectors that have low noise\, high IR throughput\, and spectral sensitivity in a miniaturized form factor. This challenge has been tackled in the study of micro-electromechanical sensing systems and metamaterial absorbers\, in which the ultra-high resolution sensing capability and the near-perfect IR absorption properties can be simultaneously exploited in a minimized footprint. The metal-insulator-metal (MIM) IR absorbers\, in particular\, are characterized by the near-unity absorptance with lithographically tunable peak absorption wavelength and spectral selectivity in an ultra-thin form factor\, suitable for the implementation of miniaturized spectroscopic IR microsystems. The exceptional IR absorption characteristics realized by the MIM IR absorbers and their sub-wavelength form factor allow for seamless integration with the existing IR sensing microsystem and the unprecedented IR sensing performance for the next generation IoT sensing solutions. In this proposal\, novel development of zero-power long-wavelength IR (LWIR) detector and miniaturized IR spectroscopic sensor based on the two key technologies are presented: (1) plasmonically-enhanced LWIR micromechanical photoswitch and (2) multispectral resonant IR detector array.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-sungho-kang/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210112T100000
DTEND;TZID=America/New_York:20210112T110000
DTSTAMP:20260523T183700
CREATED:20201221T212618Z
LAST-MODIFIED:20201221T212618Z
UID:23548-1610445600-1610449200@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Haoqing Li
DESCRIPTION:PhD Proposal Review: Robust Processing against Interferences in GNSS Navigation \nHaoqing Li \nLocation: Zoom Link \nAbstract: Satellite-based navigation is prevalent as positioning applications among our lives\, how-ever\, this high reliance brings potential threats when different interferences and jamming signals are considered. Jamming devices\, although illegal in many countries\, can be easily to get. Those devices can broadcast high-power jamming signals in Global Navigation Satellite System (GNSS) frequency band to destroy receiver’s performance. While jamming signals are illegal and we may get rid of it with the power of law\, other kinds of interferences will cannot even be avoided. Distance Measuring Equipment (DME) signal is applied to measure the distance between aircraft and ground station\, significant in aircraft transport but interference in GNSS processing. Besides\, the GNSS signal itself can also be a interference after reflection and refraction. Since we couldn’t simply re-move those from the source\, methods to mitigate influences of interferences is necessary for stable performance of receiver. There are three main blocks in GNSS receiver: acquisition block\, tracking block and positioning block\, where influence of interferences could be eliminate to get an accurate Position\, Velocity\, and Time (PVT) solution. In this article\, robust statistics processing is applied as one of the interference mitigation methods. This method aims to lower influence of outliers\, which is the presence of many kinds of interferences in either time domain or transformed domain. Robust statistics processing can be used in pre-correlation in both acquisition block and tracking block\, while a robust Kalman filter is designed in positioning block to get rid of interferences. Deep learning\, achieving extraordinary performance in many application domains\, also provides improvement to tracking block against multipath problem. A deep neural network is built to substitute the whole tracking loop to bring robustness to receiver.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-haoqing-li/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210113T110000
DTEND;TZID=America/New_York:20210113T120000
DTSTAMP:20260523T183700
CREATED:20210111T191703Z
LAST-MODIFIED:20210111T191703Z
UID:23671-1610535600-1610539200@coe.northeastern.edu
SUMMARY:ECE Seminar: Elahe Soltanaghaei
DESCRIPTION:Location: Zoom Link \nSeminar Title: Sensing the Physical World using Pervasive Wireless Infrastructure \nAbstract: The promise of IoT and emerging applications such as smart cities\, autonomous vehicles\, and mixed reality that are tightly coupled\nwith the physical environment pushes the demand for high-fidelity sensing. Meanwhile\, we are also seeing advances in wireless technologies such as Millimeter-wave and Massive MIMO systems that can transform the role of wireless networks from a pure communication medium to a pervasive sensing infrastructure. Elahe’s research investigates the synergy of wireless and sensing by applying signal processing and machine learning techniques to low-level RF signals. This talk will focus on how to map the natural interactions of wireless signals with the environment into physical and behavioral measurements for human sensing\, device localization and object tracking. She will then discuss her ongoing research on designing an RF-equivalent of optical retro-reflectors for automotive applications and will conclude with her\nroadmap toward omni-present sensing for the wireless embedded systems of the future. \nSpeaker Bio: Elahe Soltanaghaei is a postdoctoral researcher at Carnegie Mellon University in the Wireless\, Sensing\, and Embedded Systems\n(WiSE) lab. She received her PhD in Computer Science from University of Virginia. Her research spans the areas of wireless sensing and networking with applications in IoT and Cyber-Physical Systems. Reflecting the multidisciplinary nature of her research\, her work has been published in premier conferences and journals in the areas of mobile computing\, wireless networks\, and energy and infrastructure. She is the recipient of 2020 ACM SIGMOBILE Dissertation Award\, 2019 EECS Rising Stars\, and 2019 N2-Women Young Researcher Fellowship.
URL:https://coe.northeastern.edu/event/ece-seminar-elahe-soltanaghaei/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210115T083000
DTEND;TZID=America/New_York:20210115T103000
DTSTAMP:20260523T183700
CREATED:20210111T201015Z
LAST-MODIFIED:20210111T201015Z
UID:23678-1610699400-1610706600@coe.northeastern.edu
SUMMARY:Uncertainty Quantification and Dynamic Response of Buildings and Tower Structures under Stationary and Non-stationary Wind Loads
DESCRIPTION:Luca Caracoglia \nDepartment of Civil and Environmental Engineering \nNortheastern University\, Boston\, Massachusetts\, USA \nlucac@coe.neu.edu \n  \nDate: Friday January 15th\, 2:30-4:30 pm (CET)\, 8:30-10:30am (EST) \nLink: https://teams.microsoft.com/l/meetup-join/19%3a864f3dfe8993442ca116fe24bd231662%40thread.tacv2/1610092407076?context=%7b%22Tid%22%3a%226e6ade15-296c-4224-ac58-1c8ec2fd53a8%22%2c%22Oid%22%3a%226d036117-bf26-4ee2-95fa-124ff7fb3f76%22%7d \nAbstract: This presentation will review recent study activities examining the response of slender\, vertical structures under the effects of destructive wind loads. These large-period\, low-damping structures are sensitive to fluid-structure interaction and susceptible to damage induced by wind loads. The common feature of the research is the quantification of uncertain wind loads\, associated with both stationary synoptic winds and localized\, nonstationary events. The former are typical of large extra-tropical depressions and tropical cyclonic phenomena (at a scale of several hundred kilometers); the latter include thunderstorm downbursts and tornadoes (less than one kilometer in diameter). The research activities have been devoted to the examination of several methodologies for predicting the structural response by accounting for modeling uncertainty and measurement “errors”\, e.g. loads evaluated by wind tunnel tests. The investigated methods are both analytical (stochastic calculus) and numerical (Monte-Carlo sampling). The ultimate goal of the research is the evaluation of wind-related damage over time in the context of risk analysis. \nThis presentation will include characterization of the dynamic response through multi-variable probability density functions and examination of lifecycle wind-related damage through intervention cost analysis. Examples will consider interactions on the envelope of tall buildings under various wind load scenarios and aeroelastic vibration causing damages primarily to nonstructural elements. The results will demonstrate that it is possible to predict the structural response and its consequences\, even in the presence of large modeling and experimental load variability\, provided that uncertainty propagation is extended to all the stages of structural analysis. These stages should possibly consider wind field simulation\, wind-pressure load assessment and fluid-structure interaction. \nBio-sketch: Luca Caracoglia is an Associate Professor in the Department of Civil and Environmental Engineering of Northeastern University\, Boston\, Massachusetts\, USA. He joined Northeastern University in 2005. Prior to this appointment\, he was a post-doctoral fellow in the Department of Civil Engineering at Johns Hopkins University\, Baltimore\, Maryland (USA) in 2001-2002 and a post-doctoral research associate in the Department of Civil and Environmental Engineering at the University of Illinois (Urbana-Champaign\, USA) in 2002-2004. He received his Ph.D. in Structural Engineering from the University of Trieste\, Italy in 2001. His interests are in structural dynamics\, random vibration\, wind engineering\, fluid-structure interaction of civil engineering structures\, nonlinear cable network dynamics\, energy harvesting systems in wind energy. Luca Caracoglia received the NSF-CAREER Award for young investigators in 2009. Luca Caracoglia was elected Fellow of the American Society of Civil Engineers in 2020.
URL:https://coe.northeastern.edu/event/uncertainty-quantification-and-dynamic-response-of-buildings-and-tower-structures-under-stationary-and-non-stationary-wind-loads/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210115T110000
DTEND;TZID=America/New_York:20210115T120000
DTSTAMP:20260523T183700
CREATED:20210114T164057Z
LAST-MODIFIED:20210114T164057Z
UID:23785-1610708400-1610712000@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Lorenzo Bertizzolo
DESCRIPTION:PhD Proposal Review: Software-Defined Wireless Networking for 5G and Beyond: From Indoor Cells to Distributed Aerial Swarms \nLorenzo Bertizzolo \nLocation: MS Teams Link \nAbstract: While Software-defined Networking is a consolidated and widely adopted concept in fixed infrastructure\, its adoption to the wireless domain has been limited by some fundamental challenges. Different from wired deployments\, wireless stacks are characterized by tight inter-dependencies among their protocol stack layers (known as vertical coupling) and the nodes sharing the wireless channel (horizontal coupling). These effects combined undermine the implementation of i) Control plane / data plane separation\, and ii) Control of multiple data planes from a separate controller; the two founding principles of SDN. Recent developments in spectrum access technology\, however\, made it possible to reconfigure multiple layers of the wireless stack at once. This paved the way for the development of cross-layer algorithms toward the implementation of control plane / data plane separation for wireless. Moreover\, cross-layer algorithms can be employed together with distributed control theory to implement distributed and scalable control for wireless networks\, this way overcoming the difficulties of implementing separate control for multiple data planes.\nThis proposal exploits full-stack programmability to propose\, design\, and implement new cross-layer algorithms that reconfigure the wireless stack at multiple layers and in real-time. Through the systematic use of cross-layer optimization\, closed-loop control\, and dynamic network adaptation\, this proposal contributes to the development of a wide range of technological innovations for spectrum access\, to bring the benefits of Software-defined networking to the wireless domain. We present a closed-loop PHY/MAC cross-layer control algorithm to enable spectrally-efficient OFDM spectrum access in Wi-Fi populated bands. Then\, we exploit the technological innovations of a 5G Open-RAN infrastructure and propose a control system that enables broadband 5G connectivity for aerial cellular users that dynamically adapts to the changing network conditions like the time-changing distribution of pedestrian users in the surrounding. At millimeter-wave frequencies\, we propose a cross-domain control algorithm that reduces the initial access latency in standalone high-frequency systems and obtains higher spectral efficiency for aerial links. Finally\, we empower the SDN paradigm to bring network management to distributed aerial swarms. Through full-stack software programmability and programmable motion control\, we implement scalable wireless network management for distributed aerial swarms.\nWe conclude the proposal with an overview of the requirements and design principles for next-generation wireless testing platforms to support software-programmable spectrum access. \n 
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-lorenzo-bertizzolo/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210119T123000
DTEND;TZID=America/New_York:20210119T133000
DTSTAMP:20260523T183700
CREATED:20210113T181029Z
LAST-MODIFIED:20210113T181029Z
UID:23723-1611059400-1611063000@coe.northeastern.edu
SUMMARY:ECE Seminar: Maria Kyrarini
DESCRIPTION:Seminar Title: Robot Learning from Demonstrations for Human-Robot Synergy \nLocation: Zoom Link \nAbstract: Imagine a world where robots support and assist us in our everyday professional and personal life. To achieve a successful Human-Robot Synergy\, robots will need to learn new tasks from humans seamlessly\, to act on the new knowledge\, and easily adapt to new situations and people around them. Robot Learning from Demonstrations (RLfD) is a method used to enhance the ability of robots to be easily teachable by people\, a vital ability for a successful Human-Robot Synergy. RLfD enables non-expert users to ‘program’ a robot by simply guiding the robot through a task. However\, current research in RLfD tends to disconnect low-level motor control and high-level symbolic reasoning capabilities. In this talk\, I will present a novel RLfD framework\, which enhances a robot’s abilities to learn and perform the sequences of actions for object manipulation tasks (high-level learning) and\, simultaneously\, learn and adapt the necessary trajectories for object manipulation (low-level learning). Then\, I will present a ‘hands-free’ human-robot interaction modality that enables individuals with severe motor impairments\, such as quadriplegia\, to teach a robot an assistive manipulation task. I will discuss how the presented RLfD framework was evaluated in a dual-arm industrial robot for assembly tasks and in an assistive robotic manipulator for providing a drink. The experimental results demonstrate the potential of the developed robot learning framework to enable continuous human-robot synergy in industrial and assistive applications. Finally\, I will conclude the talk with a brief discussion of my ongoing work and future research plans. \nSpeaker Bio: Maria Kyrarini is a postdoctoral research fellow at the University of Texas at Arlington under the advisement of Professor Dr. Fillia Makedon. She is also the assistant director of the Heracleia Human-Centered Computing Lab. In 2019\, Maria received her Ph.D. in Engineering from the University of Bremen under the supervision of Professor Dr.-Eng. Axel Gräser. The title of her Ph.D. thesis is: “Robot learning from human demonstrations for human-robot synergy”. Before that\, she received her M.Eng. degree in Electrical and Computer Engineering and her M.Sc. degree in Automation Systems both from the National Technical University of Athens (NTUA) in 2012 and 2014\, respectively. Her primary research interests are in the fields of Robot Learning from Human Demonstrations\, Human-Robot Interaction\, and Assistive Robotics with a special focus on Enhancing Human Performance.
URL:https://coe.northeastern.edu/event/ece-seminar-maria-kyrarini/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210120T120000
DTEND;TZID=America/New_York:20210120T124500
DTSTAMP:20260523T183700
CREATED:20210113T171458Z
LAST-MODIFIED:20210113T171458Z
UID:23702-1611144000-1611146700@coe.northeastern.edu
SUMMARY:Introduction to Citation Management Tools
DESCRIPTION:Start your spring 2021 research off on the right foot with Northeastern University Library’s series of online workshops and webinars. In this workshop\, learn the basics of how to manage citations for yourself or your research group. \nRegister here: bit.ly/citationmgmtworkshops
URL:https://coe.northeastern.edu/event/introduction-to-citation-management-tools-2/2021-01-20/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210120T173000
DTEND;TZID=America/New_York:20210120T193000
DTSTAMP:20260523T183700
CREATED:20210111T201607Z
LAST-MODIFIED:20210112T190453Z
UID:23680-1611163800-1611171000@coe.northeastern.edu
SUMMARY:Dialogue of Civilizations Fair
DESCRIPTION:The Dialogue of Civilizations (DOC) Fair is an opportunity for students to learn more about Northeastern’s signature faculty-led summer programs! Faculty member will be available via Zoom for questions and conversation. Representatives from Student Financial Services\, the Honors Office\, and GEO will also be available for any questions you may have. These are the opportunities for College of Engineering students: \n\nDiscovering Turkish Cultural Values and Engineering Economy Principles (Istanbul\, Turkey) – Mohammad Dehghani\nInternational Applications of Fluid Mechanics (Panama City\, Panama) – Carlos Hidrovo Chavez\nProcess Safety and Chemical Engineering in Spain (Tarragona\, Spain) – Ron Willey\nSustainable Urban Transportation (Delft\, Netherlands) – Peter Furth\nSustainable Waste Management: Resource Recovery & Environmental Protection (Cagliari\, Italy) – Annalisa Onnis-Hayden\nTechnical Innovation and Product Prototyping (San Jose\, California) – Bala Maheswaran\nTimber/Masonry Technology\, Design and Architectural Practices in Northern Italy (Trieste\, Italy) – Luca Caracoglia\nVirtual – Sustainable Energy in 21st Century Brazil (Sao Paulo\, Brazil) – Courtney Pfluger
URL:https://coe.northeastern.edu/event/dialogue-of-civilizations-fair/2021-01-20/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210121T090000
DTEND;TZID=America/New_York:20210121T103000
DTSTAMP:20260523T183700
CREATED:20210107T164906Z
LAST-MODIFIED:20210107T164906Z
UID:23640-1611219600-1611225000@coe.northeastern.edu
SUMMARY:Innovative Solutions to Fight Ocean Pollution
DESCRIPTION:18 billion pounds of plastic enter our oceans each year\, a harrowing fact that only accounts for a portion of our planet’s pollution crisis. Northeastern innovators are tackling this problem to create sustainable solutions for cleaner oceans. Bureo Inc\, an emerging B-Corp\, has created a program to recycle fishing nets into a NetPlus™ material\, used in products by Patagonia and other partner companies. \nJoin the conversation to fight plastic pollution with Ben Kneppers\, E’07\, co-founder and COO of Bureo Inc.\, and Maarten Eenkema van Dijk\, E’14\, MS’15\, operations manager for Van Dyk Recycling Solutions. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nThis event is complimentary but registration is required. \n\n\n\n\n\n\n\n\nRegister
URL:https://coe.northeastern.edu/event/innovative-solutions-to-fight-ocean-pollution/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210121T113000
DTEND;TZID=America/New_York:20210121T123000
DTSTAMP:20260523T183700
CREATED:20210119T160023Z
LAST-MODIFIED:20210119T160032Z
UID:23836-1611228600-1611232200@coe.northeastern.edu
SUMMARY:ECE Seminar: Paolo Santi
DESCRIPTION:Seminar Title: IoT: An Enabling Technology for Designing Better Cities \nLocation: Zoom Link \nAbstract:  IoT is rapidly evolving into an enabling technology with countless potential applications. In this seminar\, we will explore how IoT technology can help in the design of better cities\, starting from the re-design of city systems and infrastructures (mobility\, power grid\, etc.) based on large- scale data acquisition. We will highlight the challenges related to systems where real-time actuation is a need\, as well as those related to design problems where actuation occurs on a longer time scale\, such as urban infrastructure planning. We will then show how IoT technology can be used also to gain a deeper understanding of how humans interact with existing urban systems. This deeper comprehension of human behavior is key to design systems that are not only “algorithmically” efficient\, but that also conform to fundamental human behavioral patterns. \nBio: Paolo Santi is Principal Research Scientist at MIT Senseable City Lab and Research Director at the Istituto di Informatica e Telematica\, CNR\, Pisa\, Italy. Dr. Santi holds a “Laurea” degree and the PhD in computer science from the University of Pisa\, Italy. Dr. Santi is a member of the IEEE Computer Society and has recently been recognized as\nDistinguished Scientist by the Association for Computing Machinery. His research interest is in the modeling and analysis of complex systems ranging from wireless multi hop\nnetworks to sensor and vehicular networks and\, more recently\, smart mobility and intelligent transportation systems. In these fields\, he has contributed more than 160 scientific papers and two books.
URL:https://coe.northeastern.edu/event/ece-seminar-paolo-santi/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210121T150000
DTEND;TZID=America/New_York:20210121T160000
DTSTAMP:20260523T183700
CREATED:20210114T184813Z
LAST-MODIFIED:20210114T184813Z
UID:23804-1611241200-1611244800@coe.northeastern.edu
SUMMARY:ECE Seminar: Mojtaba Sharifi
DESCRIPTION:Seminar Title: Research Background and Experience in Medical Robotics\,Human-Robot Interaction\, and Collaborative/Assistive Devices \nLocation: Zoom Link \nAbstract: In this talk\, Mojtaba Sharifi will go over the research projects he has done in the field of Medical Robotics\, Human-Robot Interaction (HRI)\, and Collaborative/Assistive Robotics during the past ten years. His presentation is organized in three sections\, which cover his research achievements chronologically from his MSc to the current Postdoc position. The first one is devoted to his main research area during the MSc and Ph.D. programs on the “Control of HRI: Medical Robotic and Tele-Robotic Systems”. After that\, he will touch upon his recent contribution made on the “Interaction Learning and Autonomy for Collaborative Robots and Assistive Exoskeletons”\, during the postdoctoral research. The last part of this presentation is dedicated to his past and ongoing projects on the “Human Musculoskeletal Modeling & Soft Exoskeletons for Safe HRI”\, for biomedical applications. Throughout this presentation\, the theoretical and experimental aspects of these studies will be elaborated on.   \n Biography: Mojtaba Sharifi received the B.Sc. degree in Mechanical Engineering from Shiraz University\, Shiraz\, Iran\, in 2010 and the M.Sc. degree in Mechanical Engineering from Sharif University of Technology\, Tehran\, Iran\, in 2012. He conducted a collaborative project in the Telerobotic and Biorobotic Systems Lab of the University of Alberta\, Canada\, from 2015 to 2016 as a visiting doctoral researcher. Then\, he earned a Ph.D. degree in the School of Mechanical Engineering at Sharif University of Technology\, Tehran\, Iran\, in 2017. Mojtaba also performed an interdisciplinary research project on the design and fabrication of new soft robotic actuators in 2019 as a research associate at the University College London\, UK. He has published more than 40 papers and chapters in high-quality journals\, conferences\, and books on his interdisciplinary theoretical-experimental research. His research interests include the design and implementation of autonomous control systems\, physical human-robot interaction (pHRI)\, medical robotics (rehabilitation\, surgery\, and imaging)\, control of musculoskeletal systems\, impedance control and learning\, haptics\, collaborative– and tele-robotics\, soft robotics\, wearable\, and assistive mechatronic systems (exoskeleton and prosthesis). Mojtaba is the recipient of a postdoctoral fellowship award\, working at the Department of Electrical and Computer Engineering and the Department of Medicine\, University of Alberta\, Canada. He is now investigating new autonomous control policies employing adaptive learning rules for the Central Pattern Generation (CPG) to update and personalize the human locomotion\, which is to be tracked by a lower-limb powered exoskeleton with optimized torque and FES inputs. He is also leading a project that aims to design\, fabricate\, and implement soft robotic systems for safely assisting people with upper-limb weakness.  
URL:https://coe.northeastern.edu/event/ece-seminar-mojtaba-sharifi/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210121T180000
DTEND;TZID=America/New_York:20210121T193000
DTSTAMP:20260523T183700
CREATED:20210114T204132Z
LAST-MODIFIED:20210114T204132Z
UID:23810-1611252000-1611257400@coe.northeastern.edu
SUMMARY:Galante Event: Career Paths Are Rarely Linear\, Follow Your Passion
DESCRIPTION:Join the Galante Program on Thursday\, January 21st at Career Paths Are Rarely Linear\, Follow your Passion! Chris Willis ’82\, former Partner at Impala Asset Management\, will cover his extensive background in engineering and finance. Chris has experience working on Wall Street in equity analysis and eventually transitioned to the investing side of business. He retired in 2016\, only to return to the investment business for a couple of years and is running his own fund Exothermic Global.  \nPlease RSVP. We hope to see you at this virtual event! \n  \n 
URL:https://coe.northeastern.edu/event/galante-event-career-paths-are-rarely-linear-follow-your-passion/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210122T180000
DTEND;TZID=America/New_York:20210122T180000
DTSTAMP:20260523T183700
CREATED:20210112T150820Z
LAST-MODIFIED:20210112T150820Z
UID:23685-1611338400-1611338400@coe.northeastern.edu
SUMMARY:5th Annual Multicultural Mixer
DESCRIPTION:This year’s theme is “Moving the Dream Forward” in honor and celebration of MLK Day (1/18). Registration is currently live. We are trying to reach current and new graduate students (those starting Winter/Spring ’21)\, faculty\, staff\, and alumni within the Black\, Indigenous\, and People of Color (BIPOC) community to be apart of this amazing event. We have so many surprises in store and we can’t wait to share them with all of you. \nRegister
URL:https://coe.northeastern.edu/event/5th-annual-multicultural-mixer/
END:VEVENT
END:VCALENDAR