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X-ORIGINAL-URL:https://coe.northeastern.edu
X-WR-CALDESC:Events for Northeastern University College of Engineering
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20240808
DTEND;VALUE=DATE:20240810
DTSTAMP:20260417T055603
CREATED:20240514T181624Z
LAST-MODIFIED:20240702T161244Z
UID:43781-1723075200-1723247999@coe.northeastern.edu
SUMMARY:Northeast Regional Higher Education Neurodiversity Coalition Conference
DESCRIPTION:Improving educational and professional outcomes for neurodivergent students \nThis conference is both timely and relevant. The neurodiverse population is increasing\, while students have lower academic performance and higher college dropout and underemployment rates. \nJoin Together to Make a Difference \n\nIncrease your understanding of neurodiversity\nLearn trends in neurodiversity employment\nUnderstand best practices for neuroinclusive pedagogy and curriculum\nGain knowledge to create a neuroinclusive workplace and campus\nExplore and share best practices with a community of higher education and industry professionals\n\nWho Should Attend\nFirst-year engineering faculty\, deans\, department chairs\, teaching faculty\, research assistants\, academic and career advisors\, DEI professionals\, employers\, and other college and workforce professionals. \nFeatured Keynote Speakers \nDr. Jeff Karp\, a renowned biomedical engineer at Harvard Medical School and MIT grew up being “written off” for his learning differences. He consequently developed “Life Ignition Tools\,” a process for embracing life that resulted from years of iteration and tinkering to make his unique thought patterns and behavior work for him. \nJohn Elder Robison\, a well-known author of Switched On: A Memoir of Brain Change and Emotional Intelligence\, Look Me in the Eye\, Be Different\, and Raising Cubby\, which details his life with Asperger syndrome. He’s a leading voice for autism and neurodiversity\, imploring audiences to find strengths where others see weaknesses based on societal standards. \nLearn More and Register\nhttps://coe.northeastern.edu/nehenc. \nPresented in partnership by Northeastern University\, University of Connecticut\, and the University of Rhode Island
URL:https://coe.northeastern.edu/event/northeast-regional-higher-education-neurodiversity-coalition-conference/
LOCATION:Interdisciplinary Science and Engineering Complex (ISEC)\, 805 Columbus Ave\, Boston\, MA\, 02115\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240809T110000
DTEND;TZID=America/New_York:20240809T120000
DTSTAMP:20260417T055603
CREATED:20240820T181215Z
LAST-MODIFIED:20240820T181215Z
UID:45111-1723201200-1723204800@coe.northeastern.edu
SUMMARY:Yifan Gong PhD Dissertation Defense
DESCRIPTION:Name:\nYifan Gong \nTitle:\nTowards Energy-Efficient Deep Learning for Sustainable AI \nDate:\n8/9/2024 \nTime:\n11:00:00 AM \nCommittee Members:\nProf. Yanzhi Wang (Advisor) \nProf. David R. Kaeli \nProf. Xue Lin \nProf.  Huaizu Jiang\nProf. Stratis Ioannidis \nAbstract:\nThe rapid advancements in deep learning (DL) and artificial intelligence (AI) have led to transformative applications across various domains\, such as community virtual reality experiences\, autonomous systems\, and climate change prediction. Edge devices including mobile and embedded systems play a vital role in carrying these applications\, facilitating the widespread adoption of machine intelligence. Along with the great success of DL and AI is the huge energy consumption for both training and inference. With the breakthrough of large-scale models for AI-generated content (AIGC) such as large language models and diffusion models\, the energy consumption issue intensifies\, causing the urgent need for sustainable AI solutions. In this talk\, I will talk about how to facilitate deep learning on various edge devices in an energy-efficient manner for the goal of sustainable AI. Specifically\, I will start by introducing my two system-level approaches to tackling the challenge. The first approach is named bottom-up\, which conducts AI algorithm-aware efficient system design. The second approach is a top-down approach that achieves hardware-driven efficient AI algorithm design. Then\, I will share my recent works addressing the efficiency issues for large-scale models. Finally\, I will show the applications of my methods and pointers to the future direction. \n 
URL:https://coe.northeastern.edu/event/yifan-gong-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240809T110000
DTEND;TZID=America/New_York:20240809T123000
DTSTAMP:20260417T055603
CREATED:20240731T141728Z
LAST-MODIFIED:20240731T141728Z
UID:44749-1723201200-1723206600@coe.northeastern.edu
SUMMARY:CommLab Drop-In Writing Hours
DESCRIPTION:Graduate students\, are you looking for a place for focused research writing time?  Join the CommLab drop-in writing hours any Friday from 11 am-12:30 pm ET.  Drop in any Friday and stay for a short time or the whole hour and a half.  CommLab Fellows will be available to provide feedback on your writing.  We will be meeting in 13 International Village.
URL:https://coe.northeastern.edu/event/commlab-drop-in-writing-hours-2/2024-08-09/
LOCATION:13 International Village\, 360 Huntington Ave\, 13 INV\, Boston\, MA\, 02115\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240812T083000
DTEND;TZID=America/New_York:20240812T090000
DTSTAMP:20260417T055603
CREATED:20240805T170809Z
LAST-MODIFIED:20240805T170809Z
UID:44828-1723451400-1723453200@coe.northeastern.edu
SUMMARY:Galante Program Virtual Info Sessions
DESCRIPTION:Learn how the Galante Engineering Business Program and Engineering Business Certificate can complement your technical engineering education with essential business skills. \nJoin us for an informational session to learn more about the Galante Engineering Business Program on one of the following dates: \n\nThursday\, August 8 at 4:30 p.m. EDT – Virtual\nMonday\, August 12 at 8:30 a.m. EDT – Virtual\nTuesday\, August 20 at 12:00 p.m. EDT – Virtual\nThursday\, August 22 at 9:00 a.m. EDT – Virtual\n\nRSVP Here \nDuring the session\, we will cover the details of the Galante Program and Engineering Business Certificate\, including the application process and eligibility requirements.
URL:https://coe.northeastern.edu/event/galante-program-virtual-info-sessions/2024-08-12/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240812T100000
DTEND;TZID=America/New_York:20240812T110000
DTSTAMP:20260417T055603
CREATED:20240820T180016Z
LAST-MODIFIED:20240820T180016Z
UID:45121-1723456800-1723460400@coe.northeastern.edu
SUMMARY:Gözde Özcan PhD Dissertation Defense
DESCRIPTION:Name:\nGözde Özcan \nTitle:\nLearning and Optimizing Set Functions \nDate:\n8/12/2024 \nTime:\n10:00:00 AM \nLocation:\nEXP 601\nCommittee Members:\nProf. Stratis Ioannidis (Advisor)\nProf. Jennifer Dy\nProf. Evimaria Terzi \nAbstract:\nLearning and optimizing set functions play a crucial role in the artificial intelligence research as various problems of interest can be characterized with set inputs and/or outputs. Submodular functions\, i.e.\, set functions with a diminishing returns property\, are an important subcategory of such functions. They naturally present themselves in applications such as sensor placement\, data summarization\, feature selection\, influence maximization\, hyper-parameter optimization\, and facility location\, to name a few. In a lot of these compelling problems\, the objective is to maximize a submodular function subject to matroid constraints\, which is known to be NP-hard. For problems of this nature\, the continuous greedy algorithm provides a (1 − 1/e)-approximation guarantee in polynomial-time. It does so by estimating the gradient of the so-called multilinear relaxation of the objective function via sampling. However\, for the general class of submodular functions\, the number of samples required to achieve this theoretical guarantee can be computationally prohibitive. \nIn this dissertation\, we address deterministic submodular maximization problems with matroid constraints\, specifically those with objectives expressed through compositions of analytic and multilinear functions. We introduce a novel polynomial series estimator to approximate the multilinear relaxation of such functions and demonstrate that the sub-optimality introduced by our polynomial expansion can be minimized by increasing the polynomial order. By utilizing this estimator\, a variant of the continuous greedy algorithm achieves an approximation ratio close to (1 − 1/e) ≈ 0.63 through deterministic gradient estimation. In numerical experiments\, our polynomial estimator outperforms the sampling estimator\, offering reduced errors in less time. \nWe extend our study to the stochastic submodular maximization setting with general matroid constraints\, where objectives are defined as expectations over submodular functions with an unknown distribution. Adapting polynomial estimators to this context reduces the variance of the gradient estimation while introducing a controlled bias term. For several notable stochastic submodular maximization problems\, we demonstrate that this bias decays exponentially with the degree of our polynomial approximators. Furthermore\, for monotone functions\, a stochastic variant of the continuous greedy algorithm attains an approximation ratio (in expectation) close to (1 − 1/e) ≈ 0.63 using these polynomial estimators. Our experimental results validate the advantages of our approach across synthetic and real-life datasets. \nFinally\, we turn our attention to the learning set functions under a so-called optimal subset oracle setting. A recent approach approximates the underlying utility function with an energy-based model. Approximating this energy-based model yields iterations of fixed-point update steps during mean-field variational inference. However\, these fixed-point iterations are not guaranteed to converge and as the number of iterations increases\, automatic differentiation quickly becomes computationally prohibitive due to the size of the Jacobians that are stacked during backpropagation. We address these challenges by examining the convergence conditions for the fixed-point iterations and utilizing implicit differentiation over automatic differentiation. We empirically demonstrate the efficiency of our method on synthetic and real-world subset selection applications.
URL:https://coe.northeastern.edu/event/gozde-ozcan-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240813T140000
DTEND;TZID=America/New_York:20240813T150000
DTSTAMP:20260417T055603
CREATED:20240820T175923Z
LAST-MODIFIED:20240820T175923Z
UID:45123-1723557600-1723561200@coe.northeastern.edu
SUMMARY:Yufei Feng MS Thesis Defense
DESCRIPTION:Name:\nYufei Feng \nTitle:\nBeam Management in Operational 5G mmWave Networks \nDate:\n8/13/2024 \nTime:\n2:00:00 PM \nCommittee Members:\nProf. Dimitrios Koutsonikolas (Advisor)\nProf. Josep Jornet\nProf. Mallesham Dasari \nAbstract:\nDue to the directional nature of mmWave signal propagation\, beam management plays a critical role in the performance of 5G mmWave deployments. However\, the details of beam management in commercial deployments and its performance in real-world scenarios remain largely unknown. In this paper\, we fill this gap by performing a comparative measurement study of the beam management procedure of two major US operator in Boston\, MA. We study a number of beamforming parameters including beamwidth\, number of beams\, beam switching delay\, and their impact on performance\, and we explore the interplay between beam management and rate adaptation. We also investigate for first time Rx beam management on the UE side. Finally\, we study the beam tracking performance and the quality of the selected beams for two operators.
URL:https://coe.northeastern.edu/event/yufei-feng-ms-thesis-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240813T160000
DTEND;TZID=America/New_York:20240813T170000
DTSTAMP:20260417T055603
CREATED:20240517T125640Z
LAST-MODIFIED:20240603T184608Z
UID:44085-1723564800-1723568400@coe.northeastern.edu
SUMMARY:LeetCode Mock Interviews – CommLab Drop-In Workshops
DESCRIPTION:Join the CommLab any Tuesday from 4-5 PM for our weekly LeetCode Mock Interview Workshop via Zoom. This workshop is tailored towards programming jobs and prior coding knowledge is expected. Boost your LeetCode problem-solving confidence for interviews by building your speaking skills while solving programming problems.
URL:https://coe.northeastern.edu/event/leetcode-mock-interviews-commlab-drop-in-workshops/2024-08-13/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240814T150000
DTEND;TZID=America/New_York:20240814T160000
DTSTAMP:20260417T055603
CREATED:20240708T133752Z
LAST-MODIFIED:20240708T133752Z
UID:44425-1723647600-1723651200@coe.northeastern.edu
SUMMARY:Graduate Student Fellowship Writing Club-Hosted by NU CommLab and NetSI
DESCRIPTION:Join the NU CommLab and NetSI sponsored weekly graduate student fellowship writing club for support in writing your fellowship application!  The fellowship writing club meets virtually on Wednesdays from 3-4pm from July 10- August 21.  We will offer you an opportunity to ask questions to faculty\, staff and students who have reviewed\, mentored or applied and received fellowships.  We will provide fellowship writing tips and guidance as well as offer writing and draft review sessions.  Register to join our Zoom Sessions.
URL:https://coe.northeastern.edu/event/graduate-student-fellowship-writing-club-hosted-by-nu-commlab-and-netsi/2024-08-14/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240814T173000
DTEND;TZID=America/New_York:20240814T173000
DTSTAMP:20260417T055603
CREATED:20240801T140130Z
LAST-MODIFIED:20240801T140130Z
UID:44770-1723656600-1723656600@coe.northeastern.edu
SUMMARY:Gordon Institute Virtual Information Session
DESCRIPTION:Learn how you can earn a Graduate Certificate in Engineering Leadership as a stand-alone certificate or in combination with one of twenty-three Master of Science degrees offered through Northeastern’s College of Engineering\, College of Science\, or Khoury College of Computer Sciences. \nThe National Academy of Engineering recognized The Gordon Institute of Engineering Leadership (GIEL) for its innovative curriculum that combines technical education\, leadership capabilities\, and the “Challenge Project”: an opportunity for students to receive master’s level credit while working in industry. \nBy aligning technical proficiency with leadership capabilities\, GIEL accelerates the development of high-potential engineers and prepares them to lead complex projects early in their careers. Upon completing the program\, more than 88% of the 2022 class reported increased leadership responsibility\, while more than 50% of the 2022 class reported being promoted within one year of graduation. \nOur Director of Admissions will answer your application questions for Fall 2024. \nYou will have the opportunity to hear from Alumni on how The Gordon Institute propelled their engineering careers. Program professors will also be present to answer curriculum questions.
URL:https://coe.northeastern.edu/event/gordon-institute-virtual-information-session-24/
ORGANIZER;CN="Gordon Engineering Leadership program":MAILTO:gordonleadership@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240815T160000
DTEND;TZID=America/New_York:20240815T170000
DTSTAMP:20260417T055603
CREATED:20240517T125021Z
LAST-MODIFIED:20240603T191433Z
UID:44145-1723737600-1723741200@coe.northeastern.edu
SUMMARY:Mock Interview: CommLab Drop-In Workshops
DESCRIPTION:Join the CommLab any Thursday from 4-5pm ET\, we’ll delve into the intricacies of interviews\, unveiling effective preparation strategies for any interview scenario. Engage in an interactive setting as we dissect the overall interview experience\, discuss common interview scenarios\, and share insights on what to do during critical moments. Join this hybrid workshop series through Zoom.
URL:https://coe.northeastern.edu/event/mock-interview-commlab-drop-in-workshops/2024-08-15/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240815T170000
DTEND;TZID=America/New_York:20240815T180000
DTSTAMP:20260417T055603
CREATED:20240517T125720Z
LAST-MODIFIED:20240517T125720Z
UID:43941-1723741200-1723744800@coe.northeastern.edu
SUMMARY:Poster Design and Presentation: CommLab Drop-In Workshops
DESCRIPTION:The CommLab will host drop-in workshops for poster design and presentation to focus on crafting the best visual communication of your research and telling your research story! We will discuss techniques and implement communication strategies to successfully showcase your work. No matter where you are in the process\, whether it is just in the idea phase or you are trying to polish your final poster\, we are happy to help you.  Join us any Thursday from 5-6pm\,  on Zoom.
URL:https://coe.northeastern.edu/event/poster-design-and-presentation-commlab-drop-in-workshops/2024-08-15/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240816T103000
DTEND;TZID=America/New_York:20240816T113000
DTSTAMP:20260417T055603
CREATED:20240820T181017Z
LAST-MODIFIED:20240820T181017Z
UID:45115-1723804200-1723807800@coe.northeastern.edu
SUMMARY:Faruk Volkan Mutlu PhD Dissertation  defense
DESCRIPTION:Name:\nFaruk Volkan Mutlu \nTitle:\nCost-aware Joint Caching and Forwarding in Networks with Diverse Cache Resources \nDate:\n8/16/2024 \nTime:\n10:30:00 AM \nCommittee Members:\nProf. Edmund Yeh (Advisor)\nProf. Stratis Ioannidis\nProf. Elif Uysal \nAbstract:\nThe rapid growth of data-intensive applications is testing the limitations of today’s data distribution networks. Caching is a crucial tool for high performance in such networks\, and a core principle in emerging paradigms like information-centric networking (ICN). In this dissertation\, motivated by the needs of a landmark initiative addressing the networking challenges faced by large-scale scientific research programs\, we focus on the key issue of expanding cache capacities in a cost-effective manner. While DRAM is still the standard cache device today due to its high transfer rates\, its capacity is very limited and subject to contention by other networking functions. Large DRAM modules are also expensive\, making wide area networks with cache-enabled routers costly to deploy. On the other hand\, technologies like flash storage offer larger capacities at lower costs; observing recent advancements in this domain\, we expect devices like NVMe SSDs to feature as additional cache tiers in networks supporting data-intensive applications. However\, the slower transfer rates of such devices and the added operational costs they introduce pose some challenges. \nThis dissertation primarily focuses on the open problem of developing cost-aware caching policies that can effectively manage multiple types of cache available to routers. We begin by introducing an object-level multi-tiered caching model that incorporates the diverse characteristics of cache devices\, namely their transfer rates and utilization costs. We then integrate this model with an established optimization framework to develop a joint caching and forwarding policy that uses caching resources available in the network intelligently to improve performance\, minimize costs of cache utilization and avoid congestion. To highlight the advantages of our approach against adapted baselines\, we conduct an exhaustive experimental evaluation of this policy under a large variety of simulation settings; we also provide a discussion of the event-driven object-level ICN simulator we built to facilitate this evaluation and support future research. Lastly\, we also present a variation on our strategy that attempts to improve its efficiency under certain conditions by introducing new control variables into the aforementioned optimization framework. \nThis dissertation also discusses our work on the effective use of transmission and cache resources in wireless networks. While this work investigates a different context than that outlined above\, it serves to complement our primary scope with a perspective on how caching can be leveraged in settings where resource constraints have a different type of interplay with network performance. Specifically\, in the context of multi-hop wireless networks with arbitrary topologies and interfering transmissions\, we study the open problem of delay minimization via caching subject to transmission power limitations. We cast this scenario as an optimization problem and highlight its analytical properties. We identify the challenges in finding a global optimum to the problem under general conditions\, and propose an algorithm that converges to a local optimum. We conclude this discussion with numerical results that demonstrate the effectiveness of our approach. \n 
URL:https://coe.northeastern.edu/event/faruk-volkan-mutlu-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240816T110000
DTEND;TZID=America/New_York:20240816T123000
DTSTAMP:20260417T055603
CREATED:20240731T141728Z
LAST-MODIFIED:20240731T141728Z
UID:44750-1723806000-1723811400@coe.northeastern.edu
SUMMARY:CommLab Drop-In Writing Hours
DESCRIPTION:Graduate students\, are you looking for a place for focused research writing time?  Join the CommLab drop-in writing hours any Friday from 11 am-12:30 pm ET.  Drop in any Friday and stay for a short time or the whole hour and a half.  CommLab Fellows will be available to provide feedback on your writing.  We will be meeting in 13 International Village.
URL:https://coe.northeastern.edu/event/commlab-drop-in-writing-hours-2/2024-08-16/
LOCATION:13 International Village\, 360 Huntington Ave\, 13 INV\, Boston\, MA\, 02115\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240816T110000
DTEND;TZID=America/New_York:20240816T130000
DTSTAMP:20260417T055603
CREATED:20240820T175800Z
LAST-MODIFIED:20240820T175800Z
UID:45125-1723806000-1723813200@coe.northeastern.edu
SUMMARY:Yanyu Li PhD Dissertation Defense
DESCRIPTION:Name:\nYanyu Li \nTitle:\nAccelerating Large Scale Generative AI: a Comprehensive Study \nDate:\n8/16/2024 \nTime:\n11:00:00 AM \nCommittee Members:\nProf. Yanzhi Wang (Advisor)\nProf. David Kaeli\nProf. Kaushik Chowdhury \nAbstract:\nWe have witnessed the great success of deep learning in various domains\, such as the emerging large language models (LLMs) and Artificial General Intelligence (AGI)\, diffusion models for image and video generation\, and classic vision tasks including classification\, segmentation\, detection\, etc. Built with linear\, convolution\, and attention blocks\, Deep Neural Networks (DNNs) play a vital role in the performance revolution. However\, powerful DNNs often call for tremendous computation and storage size\, which hinders their wide adoption. For instance\, LLMs and diffusion models generally have billions of parameters and hundreds of GMACs\, which is prohibitive for edge deployment. As a result\, Efficient AI has become a hot research area. In this work\, with algorithm optimizations and co-designs with hardware platform\, we pursue the appealing features of edge or user-end AI\, where we cut down energy consumption\, shorten response latency\, shrink model storage size\, eliminate the need for cloud server access and protect user privacy. Firstly\, we systematically investigate quantization\, pruning\, and architecture search techniques for efficient vision backbones. We do a comprehensive study on quantization number system and precision\, and propose a novel mix-scheme mix-precision quantization technique to maximize hardware utilization and minimize performance loss. Regarding network pruning\, we propose a novel indicator-based approach\, named Pruning-as-Search\, that is fully differentiable and automatically decides pruning policies\, outperforming human tuning methods in terms of performance and efficiency. Further\, we address the long-existing issue of rigid network width design\, proposing a family of flexible-width pruned networks with minimal per-layer redundancy. As for architecture search\, we formulate a joint optimization objective of both size and latency\, releasing a series of efficient Vision Transformers\, named EfficientFormer (V1 and V2)\, to serve as strong vision backbones with MobileNet-level size and millisecond-level latency on mobile phones. \nSecondly\, we make dedicated optimizations for large-scale generative tasks\, i.e.\, Stable Diffusion (SD) for text-to-image generation\, which serves as pioneer work to enable their mobile deployment. With the proposed efficient architecture design and novel step distillation\, we shrink the generation latency of SD by a magnitude\, from more than 1 minute to generate a 512$\times$512 image to 1~2 seconds\, while preserving the stunning generative quality. We extend our work to the even more challenging video generation task\, enabling 2-bit inference and single step adversarial distillation to speedup video diffusion models by a magnitude.
URL:https://coe.northeastern.edu/event/yanyu-li-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240816T140000
DTEND;TZID=America/New_York:20240816T160000
DTSTAMP:20260417T055603
CREATED:20240820T182221Z
LAST-MODIFIED:20240820T182221Z
UID:45097-1723816800-1723824000@coe.northeastern.edu
SUMMARY:Shuo Jiang PhD Dissertation Defense
DESCRIPTION:Name:\nShuo Jiang \nTitle:\nTactile Intelligence in Robotics \nDate:\n8/16/2024 \nTime:\n2:00:00 PM \nLocation:\nEXP-701A \nCommittee Members:\nProf. Lawson Wong (Advisor)\nProf. Robert Platt\nProf. Alireza Ramezani\nProf. Taskin Padir \nAbstract:\nIn recent years\, the evolution of robot electronic skin technology has introduced a novel avenue for robots to perceive their external environment and internal state. In contrast to conventional visual perception methods\, tactile perception enables the discernment of additional physical properties of objects\, such as friction and mass distribution\, or even observes contact with higher resolution. Importantly\, tactile perception is resilient to challenges posed by inadequate illumination or environmental occlusion. However\, it presents inherent challenges\, including a limited sensing range\, compulsory physical interaction with the environment\, and intricate coupling with robot control\, rendering data collection and utilization challenging. Addressing these challenges and devising effective\, efficient\, and interpretable methods for processing tactile signals have emerged as pivotal issues in robot tactile perception. \nWith the development of artificial intelligence technology\, we are now able to interpret tactile information from a new perspective beyond traditional sensor technology and signal processing methods\, thereby expanding a wider range of robotic applications. With our continuous efforts over the past few years\, we have comprehensively addressed the following challenges in enhancing robot tactile perception through the application of advanced artificial intelligence and control methods: enabling robots to explore object shapes through tactile feedback; developing tactile-based safety mechanisms for human-robot collaboration; enhancing the locomotion adaptability of snake robots on irregular terrains through tactile perception; utilizing whole-body exteroceptors and proprioceptors for accurate body schema estimation; and implementing tactile gesture recognition in human-robot interactions. At the same time\, we developed a modular full-body electronic skin system for robots and its accompanying software\, which can accurately detect forces applied to the robot’s entire body and perform high-speed tracking of the real-time kinematics of the robot’s sensor array. \nIn conclusion\, this dissertation explores how robot tactile perception can accomplish complex tasks in various scenarios or achieve performance improvements in traditional tasks through the integration of sensor technology\, machine learning\, control theory\, and robotics. Through extensive theoretical and experimental analysis\, we have demonstrated the critical role of tactile perception in embodied intelligence for robots and established a fundamental knowledge framework for future academic research in this field.
URL:https://coe.northeastern.edu/event/shuo-jiang-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240817T130000
DTEND;TZID=America/New_York:20240817T140000
DTSTAMP:20260417T055603
CREATED:20240617T153424Z
LAST-MODIFIED:20240617T153424Z
UID:44305-1723899600-1723903200@coe.northeastern.edu
SUMMARY:Graduate School of Engineering Campus Tour - In Person
DESCRIPTION:Want to learn more about Northeastern’s Boston campus? Then we welcome you to sign up for a Graduate School of Engineering campus tour! Led by one of our expert Graduate Student Ambassadors\, we’ll show you key locations on campus\, in addition to resources specific to Engineering\, and answer your questions about Boston. Please complete the registration form linked below to select the date and time that works best for you. Tours are open to all students interested in learning more about the Graduate School of Engineering. We can’t wait to meet you!
URL:https://coe.northeastern.edu/event/graduate-school-of-engineering-campus-tour-in-person-6/2024-08-17/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240819T100000
DTEND;TZID=America/New_York:20240819T110000
DTSTAMP:20260417T055603
CREATED:20240820T141408Z
LAST-MODIFIED:20240820T141408Z
UID:45127-1724061600-1724065200@coe.northeastern.edu
SUMMARY:Yuexi Zhang PhD Dissertation Defense
DESCRIPTION:Name:\nYuexi Zhang \nTitle:\nHuman Action and Event Detection by Leveraging Multi-modality Techniques \nDate:\n8/19/2024 \nTime:\n10:00:00 AM \nCommittee Members:\nProf. Octavia Camps (Advisor) \nProf. Mario Sznaier \nProf. Sarah Ostadabbas \nAbstract:\nHuman Action and Event Analysis with multi-modalities has emerged as a critical area of research in computer vision and machine learning\, driven by the need to understand complex human behaviors in diverse environments. \nA significant advantage of multi-modal analysis is its application in cross-view action recognition\, where activities are observed from different viewpoints. To tackle such a problem\, we propose a flexible frame which is able to integrate diverse modalities(RGB pixels\, 2D/3D key points\, etc.) to overcome the limitations of single-modal approaches. It consists of two branches where a Dynamic Invariant Representation branch (DIR) concentrates on identifying view-invariant properties through key points trajectories while Context Invariant Representation branch(CIR) is to capture the pixel-level view-invariant features. In the meantime\, our approach leverages contrastive learning techniques to enhance the effectiveness of recognition accuracy\, where it enables the model to learn more discriminative and view-invariant features by contrastive positive pairs against negative pairs. The fusion of multi-modal data\, coupled with contrastive learning\, leads to improved accuracy in recognizing actions across various views and environments. Extensive experiments demonstrate the effectiveness of our approach on diverse modalities. Furthermore\, another promising application with multi-modal techniques is zero-shot action detection\, which aims to recognize actions that the model has not been explicitly trained on. Recently\, with language models are quickly developed\, leveraging LLMs in this context has shown significant potentials\, as these models can bridge the gap between seen and unseen actions by understanding and generalizing from textual descriptions. To further explore the problem\, we propose a transformer encoder-decoder architecture with global and local text prompt\, which allowing the model to infer the characteristics of unseen actions based on different textual attributes. We evaluate our approach on different benchmarks to demonstrate advantages.
URL:https://coe.northeastern.edu/event/yuexi-zhang-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240820T093000
DTEND;TZID=America/New_York:20240820T103000
DTSTAMP:20260417T055603
CREATED:20240814T151721Z
LAST-MODIFIED:20240814T151721Z
UID:44990-1724146200-1724149800@coe.northeastern.edu
SUMMARY:Roux Institute Campus Spotlight
DESCRIPTION:Northeastern University’s Portland\, Maine campus is a vibrant community of graduate learners from around the world\, along with tech startup founders\, researchers\, and business partners. \nJoin us on Tuesday\, August 20\, 2024\, at 9:30 a.m. ET\, as the College of Engineering hosts a virtual campus spotlight showcasing the engineering programs at the Roux Institute in beautiful Portland\, Maine. \nDuring this webinar you will: \n\nLearn about our programs and co-op opportunities from a College of Engineering Recruiting Specialist\nExplore the campus and its impressive resources with insights from the Associate Director of Recruitment and Employer Relations.\nGain insight into generous scholarship opportunities and the application process
URL:https://coe.northeastern.edu/event/roux-institute-campus-spotlight/
LOCATION:The Roux Institute\, 100 Fore Street\, Portland\, ME\, 04101\, United States
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240820T120000
DTEND;TZID=America/New_York:20240820T123000
DTSTAMP:20260417T055603
CREATED:20240805T170809Z
LAST-MODIFIED:20240805T170809Z
UID:44829-1724155200-1724157000@coe.northeastern.edu
SUMMARY:Galante Program Virtual Info Sessions
DESCRIPTION:Learn how the Galante Engineering Business Program and Engineering Business Certificate can complement your technical engineering education with essential business skills. \nJoin us for an informational session to learn more about the Galante Engineering Business Program on one of the following dates: \n\nThursday\, August 8 at 4:30 p.m. EDT – Virtual\nMonday\, August 12 at 8:30 a.m. EDT – Virtual\nTuesday\, August 20 at 12:00 p.m. EDT – Virtual\nThursday\, August 22 at 9:00 a.m. EDT – Virtual\n\nRSVP Here \nDuring the session\, we will cover the details of the Galante Program and Engineering Business Certificate\, including the application process and eligibility requirements.
URL:https://coe.northeastern.edu/event/galante-program-virtual-info-sessions/2024-08-20/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240820T160000
DTEND;TZID=America/New_York:20240820T170000
DTSTAMP:20260417T055603
CREATED:20240517T125640Z
LAST-MODIFIED:20240603T184608Z
UID:44086-1724169600-1724173200@coe.northeastern.edu
SUMMARY:LeetCode Mock Interviews – CommLab Drop-In Workshops
DESCRIPTION:Join the CommLab any Tuesday from 4-5 PM for our weekly LeetCode Mock Interview Workshop via Zoom. This workshop is tailored towards programming jobs and prior coding knowledge is expected. Boost your LeetCode problem-solving confidence for interviews by building your speaking skills while solving programming problems.
URL:https://coe.northeastern.edu/event/leetcode-mock-interviews-commlab-drop-in-workshops/2024-08-20/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240821T150000
DTEND;TZID=America/New_York:20240821T160000
DTSTAMP:20260417T055603
CREATED:20240708T133752Z
LAST-MODIFIED:20240708T133752Z
UID:44426-1724252400-1724256000@coe.northeastern.edu
SUMMARY:Graduate Student Fellowship Writing Club-Hosted by NU CommLab and NetSI
DESCRIPTION:Join the NU CommLab and NetSI sponsored weekly graduate student fellowship writing club for support in writing your fellowship application!  The fellowship writing club meets virtually on Wednesdays from 3-4pm from July 10- August 21.  We will offer you an opportunity to ask questions to faculty\, staff and students who have reviewed\, mentored or applied and received fellowships.  We will provide fellowship writing tips and guidance as well as offer writing and draft review sessions.  Register to join our Zoom Sessions.
URL:https://coe.northeastern.edu/event/graduate-student-fellowship-writing-club-hosted-by-nu-commlab-and-netsi/2024-08-21/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240822T090000
DTEND;TZID=America/New_York:20240822T093000
DTSTAMP:20260417T055603
CREATED:20240805T170809Z
LAST-MODIFIED:20240805T170809Z
UID:44830-1724317200-1724319000@coe.northeastern.edu
SUMMARY:Galante Program Virtual Info Sessions
DESCRIPTION:Learn how the Galante Engineering Business Program and Engineering Business Certificate can complement your technical engineering education with essential business skills. \nJoin us for an informational session to learn more about the Galante Engineering Business Program on one of the following dates: \n\nThursday\, August 8 at 4:30 p.m. EDT – Virtual\nMonday\, August 12 at 8:30 a.m. EDT – Virtual\nTuesday\, August 20 at 12:00 p.m. EDT – Virtual\nThursday\, August 22 at 9:00 a.m. EDT – Virtual\n\nRSVP Here \nDuring the session\, we will cover the details of the Galante Program and Engineering Business Certificate\, including the application process and eligibility requirements.
URL:https://coe.northeastern.edu/event/galante-program-virtual-info-sessions/2024-08-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240822T130000
DTEND;TZID=America/New_York:20240822T140000
DTSTAMP:20260417T055603
CREATED:20240820T175132Z
LAST-MODIFIED:20240820T175132Z
UID:45131-1724331600-1724335200@coe.northeastern.edu
SUMMARY:Zohreh Azizi PhD Proposal Review
DESCRIPTION:Name:\nZohreh Azizi \nTitle:\nExploring SIM for monomer orientation \nDate:\n8/22/2024 \nTime:\n1:00:00 PM \nLocation: https://northeastern.zoom.us/j/7318775019\nMeeting ID: 731 877 5019 \nCommittee Members:\n1. Prof. Charles DiMarzio (Advisor)\n2. Prof. Carey Rappaport\n3. Dr. Sangyeon (Fred) Cho \nAbstract:\nCollagen fibrils\, the most abundant protein polymers in animals\, protect cells from mechanical forces such as stress\, tension\, compression\, and shear. Each collagen molecule\, approximately 300 nm long and 1.5 nm in diameter\, consists of three polypeptide chains forming a supercoiled triple helix. These fibrils self-assemble\, with diameters ranging from 20 nm to several hundred nanometers. Large collagen fibrils are visible with scanning electron microscopy (SEM) and optical microscopy. Electron microscopy damages samples during preparation\, limiting observations to static\, non-living conditions. The natural self-assembly behavior\, spatial arrangement\, and dimensions of collagen fibrils play a vital role in shaping the structure\, strength\, and function of tissues. These factors are essential in determining how tissues are organized\, how they withstand physical forces\, and how effectively they perform their biological functions. \nDetecting the orientation and location of collagen monomers is essential for understanding their role in collagen spontaneous formation and their interactions with fibril surfaces. To study collagen monomers in a dynamic\, living state\, high-resolution optical microscopy is preferred\, as it allows for detailed imaging beyond the diffraction limit of light.We introduce a new technique using structured illumination to determine the spatial separation of punctuate objects to super–resolution limits that is amenable to both scattering and fluorescent objects. We call the technique Structured–Illumination Point–Separation (SIPS) Microscopy. We apply it to determine the orientation of a collagen monomer by imaging two fluorescent tags at different locations on the monomer. Experimentally\, we show that our approach effectively resolves the orientation of collagen monomers with a resolution surpassing the diffraction limit. \nIn this illumination technique we are employing time-multiplexed binary patterns with a DMD based SIM while the camera shutter is open\, mitigating undesired diffractions from the DMD. Three different phases of sinusoidal patterns generated by the DMD 3000 DLP series are projected onto the fluorescent sample in a 4f system. After data acquisition of the effect of the structured patterns on sample in three different phases images multiplied by a phase factor (1\, 𝑒−𝑖2𝜋/3\,𝑒−𝑖4𝜋/3 ) and then combined. By implementing the Radon transform of Fourier transform of phase of complex image\, and evaluate the Radon transform in center of x’=0 \, direction of pairs obtain. we enhance image reconstruction and analysis\, utilizing their characteristics for detailed imaging and data extraction in Structured–Illumination Point–Separation. With this strategy a non-destructive and effective technique that allows researchers to measure orientation of collagen monomer in a way that preserves the sample and offers high-resolution imaging\, which is crucial for studying the structure and properties of collagen.
URL:https://coe.northeastern.edu/event/zohreh-azizi-phd-proposal-review/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240822T160000
DTEND;TZID=America/New_York:20240822T170000
DTSTAMP:20260417T055603
CREATED:20240517T125021Z
LAST-MODIFIED:20240603T191433Z
UID:44146-1724342400-1724346000@coe.northeastern.edu
SUMMARY:Mock Interview: CommLab Drop-In Workshops
DESCRIPTION:Join the CommLab any Thursday from 4-5pm ET\, we’ll delve into the intricacies of interviews\, unveiling effective preparation strategies for any interview scenario. Engage in an interactive setting as we dissect the overall interview experience\, discuss common interview scenarios\, and share insights on what to do during critical moments. Join this hybrid workshop series through Zoom.
URL:https://coe.northeastern.edu/event/mock-interview-commlab-drop-in-workshops/2024-08-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240822T170000
DTEND;TZID=America/New_York:20240822T180000
DTSTAMP:20260417T055603
CREATED:20240517T125721Z
LAST-MODIFIED:20240517T125721Z
UID:43942-1724346000-1724349600@coe.northeastern.edu
SUMMARY:Poster Design and Presentation: CommLab Drop-In Workshops
DESCRIPTION:The CommLab will host drop-in workshops for poster design and presentation to focus on crafting the best visual communication of your research and telling your research story! We will discuss techniques and implement communication strategies to successfully showcase your work. No matter where you are in the process\, whether it is just in the idea phase or you are trying to polish your final poster\, we are happy to help you.  Join us any Thursday from 5-6pm\,  on Zoom.
URL:https://coe.northeastern.edu/event/poster-design-and-presentation-commlab-drop-in-workshops/2024-08-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240823T110000
DTEND;TZID=America/New_York:20240823T123000
DTSTAMP:20260417T055603
CREATED:20240731T141728Z
LAST-MODIFIED:20240731T141728Z
UID:44751-1724410800-1724416200@coe.northeastern.edu
SUMMARY:CommLab Drop-In Writing Hours
DESCRIPTION:Graduate students\, are you looking for a place for focused research writing time?  Join the CommLab drop-in writing hours any Friday from 11 am-12:30 pm ET.  Drop in any Friday and stay for a short time or the whole hour and a half.  CommLab Fellows will be available to provide feedback on your writing.  We will be meeting in 13 International Village.
URL:https://coe.northeastern.edu/event/commlab-drop-in-writing-hours-2/2024-08-23/
LOCATION:13 International Village\, 360 Huntington Ave\, 13 INV\, Boston\, MA\, 02115\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240824T120000
DTEND;TZID=America/New_York:20240824T170000
DTSTAMP:20260417T055603
CREATED:20240806T172122Z
LAST-MODIFIED:20240806T172122Z
UID:44851-1724500800-1724518800@coe.northeastern.edu
SUMMARY:Northeastern’s Global Study Expo-India (Hyderabad) 2024
DESCRIPTION:You are cordially invited to Northeastern’s Global Study Expo in Hyderabad Saturday August 24th\, 2024. This is your opportunity to: \n\nTake advantage of our limited-time offer to expedite the application process.\nConnect with a Northeastern representative\nDeepen your understanding of Northeastern programs.\nLearn about The College of Engineering admissions requirements.\nDiscover potential scholarship opportunities.\nHear about the benefits of our global campus network with locations in the U.S.\, U.K.\, and Canada.\nLearn about our students’ educational and professional outcomes.\nHear first-hand from our successful students and alumni.\n\nWe would love to see you in Hyderabad at the ITC Kohenur!
URL:https://coe.northeastern.edu/event/northeasterns-global-study-expo-india-hyderabad-2024/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240825T120000
DTEND;TZID=America/New_York:20240825T180000
DTSTAMP:20260417T055603
CREATED:20240806T171956Z
LAST-MODIFIED:20240806T172045Z
UID:44854-1724587200-1724608800@coe.northeastern.edu
SUMMARY:Northeastern’s Global Study Expo-India (Mumbai) 2024
DESCRIPTION:You are cordially invited to Northeastern’s Global Study Expo in Mumbai\, Sunday August 25\, 2024. This is your opportunity to: \n\nTake advantage of our limited-time offer to expedite the application process.\nConnect with a Northeastern representative\nDeepen your understanding of Northeastern programs.\nLearn about The College of Engineering admissions requirements.\nDiscover potential scholarship opportunities.\nHear about the benefits of our global campus network with locations in the U.S.\, U.K.\, and Canada.\nLearn about our students’ educational and professional outcomes.\nHear first-hand from our successful students and alumni.\n\nWe would love to see you in Mumbai at the JW Marriott Mumbai Juhu
URL:https://coe.northeastern.edu/event/northeasterns-global-study-expo-india-mumbai-2024/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240827T160000
DTEND;TZID=America/New_York:20240827T170000
DTSTAMP:20260417T055603
CREATED:20240517T125640Z
LAST-MODIFIED:20240603T184609Z
UID:44087-1724774400-1724778000@coe.northeastern.edu
SUMMARY:LeetCode Mock Interviews – CommLab Drop-In Workshops
DESCRIPTION:Join the CommLab any Tuesday from 4-5 PM for our weekly LeetCode Mock Interview Workshop via Zoom. This workshop is tailored towards programming jobs and prior coding knowledge is expected. Boost your LeetCode problem-solving confidence for interviews by building your speaking skills while solving programming problems.
URL:https://coe.northeastern.edu/event/leetcode-mock-interviews-commlab-drop-in-workshops/2024-08-27/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240829T160000
DTEND;TZID=America/New_York:20240829T170000
DTSTAMP:20260417T055603
CREATED:20240517T125021Z
LAST-MODIFIED:20240603T191433Z
UID:44147-1724947200-1724950800@coe.northeastern.edu
SUMMARY:Mock Interview: CommLab Drop-In Workshops
DESCRIPTION:Join the CommLab any Thursday from 4-5pm ET\, we’ll delve into the intricacies of interviews\, unveiling effective preparation strategies for any interview scenario. Engage in an interactive setting as we dissect the overall interview experience\, discuss common interview scenarios\, and share insights on what to do during critical moments. Join this hybrid workshop series through Zoom.
URL:https://coe.northeastern.edu/event/mock-interview-commlab-drop-in-workshops/2024-08-29/
END:VEVENT
END:VCALENDAR