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DTSTART;TZID=America/New_York:20240408T141500
DTEND;TZID=America/New_York:20240408T143000
DTSTAMP:20260417T053015
CREATED:20240405T203435Z
LAST-MODIFIED:20240405T212740Z
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SUMMARY:Soft Matter Days
DESCRIPTION:Soft Matter Days: April 8-17\, will feature invited guest speakers discussing a variety of interdisciplinary topics in soft matter and complex fluids.  These topics sit at the interface of chemical & mechanical engineering\, materials science\, physics\, chemistry\, and biology.  Guest speakers will discuss real-world phenomena found in food\, blood flow\, and granular materials.  Two talks are guest lectures in CHME5179: RSVP required for those not in the class. \nMonday\, April 8\, 2:15pm\, Curry 340\nCapillary Rise and Thin Films Near Edges: New Insights from Self-similarity\nHoward Stone\, Princeton University\nHost: Xiaoyu Tang x.tang@northeastern.edu \nTuesday\, April 9\, 9:50am\, Zoom (Guest Lecture for CHME 5179)\n“Complex Fluids & Soft Matter in Food”\nDave Weitz\, Harvard University\nRSVP: Sara Hashmi s.hashmi@northeastern.edu \nThursday\, April 11\, 1:30pm\, HS 210\nDynamics of blood flow at the cellular level in health and disease\nMichael Graham\, University of Wisconsin\nHost: Sara Hashmi s.hashmi@northeastern.edu \nFriday\, April 12\, 9:50am\, Zoom (Guest Lecture for CHME 5179)\nNonlinear Rheology of Complex Fluids: Exploring Microstructure\nKate Honda\, Northeastern University\nRSVP: Sara Hashmi s.hashmi@northeastern.edu \nWednesday\,  April 17\, 1:30pm\, HS 210\nUniversality and scaling in shear thickening suspensions\nBulbul Chakraborty\, Brandeis University\nHost: Sara Hashmi s.hashmi@northeastern.edu
URL:https://coe.northeastern.edu/event/soft-matter-days/2024-04-08/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240408T153000
DTEND;TZID=America/New_York:20240408T170000
DTSTAMP:20260417T053015
CREATED:20240403T182632Z
LAST-MODIFIED:20240403T182632Z
UID:43172-1712590200-1712595600@coe.northeastern.edu
SUMMARY:Jinkun Zhang PhD Dissertation Defense
DESCRIPTION:Announcing:\nPhD Dissertation Defense \nName:\nJinkun Zhang \nTitle:\nLow-latency Forwarding\, Caching and Computation Placement in Data-centric Networks \nDate:\n4/8/2024 \nTime:\n3:30:00 PM \nLocation:\nEXP-459\, \nCommittee Members:\nProf. Edmund Yeh (Advisor)\nProf. Stratis Ioannidis\nProf. Kaushik Chowdhury \nAbstract:\nWith the exponential growth of data- and computation-intensive network applications\, such as real-time augmented reality/virtual reality rendering and large-scale language model training\, traditional cloud computing frameworks exhibit inherent limitations. To address these challenges\, dispersed computing has emerged as a promising next-generation networking paradigm. By enabling geographically distributed nodes with heterogeneous computation capabilities to collaborate\, dispersed computing overcomes the bottlenecks of traditional cloud computing and facilitates in-network computation tasks\, including the training of large models. In data-centric networks\, communication and computation are resolved around data names instead of host addresses. The deployment of network caches\, by enabling data reuse\, offers substantial benefits for data-centric networks. For instance\, consider a scenario where multiple machine learning applications seek to train different models simultaneously. This application could (partially) share data samples and/or computational results. Optimal caching of data and/or results can significantly reduce the overall training cost\, compared to each application independently gathering and transmitting data. \nThis dissertation aims to minimize average user delay in a general cache-enabled computing network. We introduce a low-latency framework that jointly optimizes packet forwarding\, storage deployment\, and computation placement. The proposed framework effectively supports data-intensive and latency-sensitive computation applications in data-centric computing networks with heterogeneous communication\, storage\, and computation capabilities. To minimize user latency in congestible networks\, we model delays caused by link transmissions and CPU computations using traffic-dependent nonlinear functions. We consider a series of related network resource allocation problems in a unified network model. \nWe first investigate the joint forwarding and computation placement problem\, then the joint forwarding and elastic caching problem. Despite the non-convexity of the former subproblem\, we provide a set of sufficient optimality conditions that lead to a distributed algorithm with polynomial-time convergence to the global optimum. For the latter subproblem\, we demonstrate its NP-hardness and non-submodularity\, even after continuous relaxation. We propose a set of conditions that provide a finite bound from the optimum. To the best of our knowledge\, our method represents the first analytical progress in addressing the joint caching and forwarding problem with arbitrary topology and non-linear costs. Upon solving the above two subproblems\, we formally propose the low-latency joint forwarding\, caching\, and computation placement framework. We formulate the mixed-integer NP-hard total cost minimization problem jointly over forwarding\, caching\, and computation offloading variables. Developing on the established result for both subproblems\, we propose two methods\, each with an analytical guarantee. The first method achieves a 1/2 approximation guarantee by exploiting the “submodular + concave” structure of the problem\, leading to an offline distributed algorithm. In real scenarios\, however\, request patterns and network status are not known prior and can be time-varying. To this end\, our second method leads to an online adaptive algorithm exploiting its “convex + geodesic-convex” nature\, with a proven bounded gap from the optimum. \nThe proposed solutions are followed by a few extension problems. Specifically\, we generalize the computation from “single-step” to “service chain” applications. We also generalize the solution to incorporate congestion control by considering an “extended graph”. Furthermore\, several network resource allocation optimization problems related to data-centric networking are introduced\, expanding the scope of this dissertation. For example\, we investigate joint caching and transmission power allocation in wireless heterogeneous networks\, where the total transmission energy is minimized subject to constraints for SINR lower bounds\, cache capacities\, and total power budget at each node. We also study the optimal multi-commodity pricing with finite menu length\, where novel asymptotic bounds on quantization errors are devised.
URL:https://coe.northeastern.edu/event/jinkun-zhang-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240409T090000
DTEND;TZID=America/New_York:20240409T100000
DTSTAMP:20260417T053015
CREATED:20240223T212744Z
LAST-MODIFIED:20240223T212744Z
UID:42522-1712653200-1712656800@coe.northeastern.edu
SUMMARY:Learn about engineering program opportunities in Miami\, FL
DESCRIPTION:The Graduate school of Engineering is proud to offer programs on many of Northeastern University’s multiple global campuses. In this webinar\, we focus on spotlighting the Miami\, FL campus. You’ll have an opportunity to learn more about the programs and opportunities available on this campus from admissions and campus representatives.
URL:https://coe.northeastern.edu/event/learn-about-engineering-program-opportunities-in-miami-fl/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240410T120000
DTEND;TZID=America/New_York:20240410T130000
DTSTAMP:20260417T053015
CREATED:20240328T155531Z
LAST-MODIFIED:20240328T155531Z
UID:43110-1712750400-1712754000@coe.northeastern.edu
SUMMARY:Chemical Engineering Spring Seminar Series: Dr. Jodie Lutkenhaus
DESCRIPTION:Organic Batteries for a More Sustainable Future \nCobalt\, nickel\, and lithium are essential ingredients in today’s lithium-ion batteries (LIBs)\, but their continued use presents economic\, ethical\, and environmental challenges. Society must now begin to consider the implications of a LIB’s full life cycle\, including the carbon footprint\, the economic and environmental costs\, and material access. These challenges motivate the case for degradable or recyclable batteries sourced from earth-abundant materials whose life cycle bears minimal impact on the environment. This presentation considers organic polymer-based batteries\, which have the potential to address many of these issues. Redox-active polymers form the positive and negative electrodes\, storing charge through a reversible redox mechanism. We demonstrate polypeptide radical batteries that degrade on command into amino acids and by-products as a first step toward circular organic batteries. Further\, we show the recycling of redox-active polymer electrodes using a solvent-based approach. Polymer-air batteries are examined as high-capacity alternatives to metal-air batteries. The molecular mechanism for each case is investigated\, revealing pathways forward for improving each polymer’s performance. Taken together\, organic batteries offer the promise of a circular platform free of critical elements. \n\nJodie L. Lutkenhaus is a Professor\, Associated Department Head\, and holder of the Axalta Chair in the Artie McFerrin Department of Chemical Engineering at Texas A&M University. Lutkenhaus received her B.S. in 2002 from The University of Texas at Austin and her Ph.D in 2007 from the Massachusetts Institute of Technology. Current research areas include polyelectrolytes\, redox-active polymers\, energy storage\, and composites. She has received recognitions including World Economic Forum Young Scientist\, Kavli Fellow\, NSF CAREER\, AFOSR Young Investigator\, and the 3M Non-tenured Faculty Award. She is the past-Chair of the AICHE Materials Engineering & Sciences Division. Lutkenhaus is the Deputy Editor of ACS Applied Polymer Materials and a member of the U.S. National Academies Board of Chemical Sciences & Technology.
URL:https://coe.northeastern.edu/event/chemical-engineering-spring-seminar-series-dr-jodie-lutkenhaus/
LOCATION:103 Churchill\, 103 Churchill Hall\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240411T090000
DTEND;TZID=America/New_York:20240411T100000
DTSTAMP:20260417T053015
CREATED:20240408T134711Z
LAST-MODIFIED:20240410T141025Z
UID:43283-1712826000-1712829600@coe.northeastern.edu
SUMMARY:Giving Day Donuts with the Dean
DESCRIPTION:All faculty\, staff\, and students are invited to have donuts with Dean Gregory Abowd and kick off an exciting day of activities and college challenges. We need your support — a gift to the College of Engineering is an investment in our students\, faculty\, and programs! Make your gift today. \nLocation: outside of Snell Engineering\, by the entryway facing Egan. If raining\, inside SN Lobby
URL:https://coe.northeastern.edu/event/giving-day-donuts-with-the-dean/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240411T120000
DTEND;TZID=America/New_York:20240411T133000
DTSTAMP:20260417T053015
CREATED:20240410T210113Z
LAST-MODIFIED:20240410T210113Z
UID:43325-1712836800-1712842200@coe.northeastern.edu
SUMMARY:Gerald LaMountain PhD Proposal Review
DESCRIPTION:Name:\nGerald LaMountain \nTitle:\nOn the Performance of Classical Estimation Under Adverse\nConditions \nDate:\n4/11/2024 \nTime:\n12:00:00 PM \nLocation:\nEXP 459 \nCommittee Members:\nProf. Pau Closas (Advisor)\nProf. Deniz Erdogmus\nProf. Aanjhan Ranganathan \nAbstract:\nSystem designers across all disciplines of technology face the need to develop machines capable of independently processing and analyzing data and\, in many cases\, subsequently predicting future data. Over the past century\, numerous approaches have been developed to perform this task\, including those that fall under the umbrella of “classical statistics;” that is\, those that employ probabilistic analyses to isolate relationships between variables and\, in particular\, “statistical estimation” wherein those variables are used to make inferences about real-world quantities. To fully leverage the bevy of established estimation algorithms\, it is necessary to be able to evaluate the performance of a given estimator and\, where possible\, make changes to the methodology to improve its performance according to pertinent metrics. In the presence of ground-truth information\, the accuracy of estimations can be evaluated a posteriori for a specific set of data. But what of future data which may not be associated with the same set of ground-truth information? In these cases\, we require statistical generalizations about estimator behavior based on models of observed reality. In reality\, these models are rarely fully representative of the reality of the observed and latent variables of interest. In such cases\, there exists a “model misspecification\,” and estimators which are designed based on such an imprecise model will produce results which differ from both properly specified estimators and the truth. \nThe overall objective of this thesis is to evaluate and expand upon state-of-the-art approaches to estimation and estimator analysis under various types of misspecification\, including modeling errors that naturally occur as a result of the sensory environment\, for example\, unknown or variable observation noise. We contribute a method of Bayesian covariance estimation which\, when embedded within the Kalman filter architecture\, may be used to adapt to real-time changes in sensor performance while maintaining the recursive structure that allows the Kalman filter to be implemented in so many different applications. Furthermore\, we investigated the efficacy of signal subspace algorithms (e.g. MUSIC) for performing multi-antenna radio direction finding\, again in the presence of modelling errors. Although these algorithms are considered suboptimal (in the sense of the minimum mean squared error—MMSE) in finite time\, their computational efficiency motivates their use in many different applications. Our analysis shows that under certain classes of model misspecification\, the candidate algorithm for misspecified multiple signal classification (MMUSIC) performs asymptotically as well as the “gold standard” maximum likelihood estimator (MMLE) under the same misspecification. The final objective of this thesis is to combine the estimation bounds analysis we have applied to static estimation and extend it to dynamical systems. Although there exist established methods for evaluating and bounding the performance of estimators on misspecified models and dynamic models\, there has been limited progress in establishing a standard for performing misspecified estimator analysis under dynamic conditions. Although this work is still ongoing\, preliminary results are encouraging\, suggesting that there are likely multiple approaches to this bounded analysis based around different objectives. Further results will be included in the final version of our work.
URL:https://coe.northeastern.edu/event/gerald-lamountain-phd-proposal-review/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240412T120000
DTEND;TZID=America/New_York:20240412T130000
DTSTAMP:20260417T053015
CREATED:20240403T182325Z
LAST-MODIFIED:20240403T182325Z
UID:43176-1712923200-1712926800@coe.northeastern.edu
SUMMARY:Baolin Li PhD Dissertation Defense
DESCRIPTION:Announcing:\nPhD Dissertation Defense \nName:\nBaolin Li \nTitle:\nMaking Machine Learning on HPC Systems Cost-Effective and Carbon-Friendly \nDate:\n4/12/2024 \nTime:\n12:00:00 PM
URL:https://coe.northeastern.edu/event/baolin-li-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240412T123000
DTEND;TZID=America/New_York:20240412T140000
DTSTAMP:20260417T053015
CREATED:20240403T181805Z
LAST-MODIFIED:20240403T181805Z
UID:43184-1712925000-1712930400@coe.northeastern.edu
SUMMARY:Peng Wu PhD Dissertation Defense
DESCRIPTION:Announcing:\nPhD Dissertation Defense \nName:\nPeng Wu \nTitle:\nBayesian Data Fusion for Distributed Learning \nDate:\n4/12/2024 \nTime:\n12:30:00 PM \nLocation:\nISEC 532 \nCommittee Members:\nProf. Pau Closas (Advisor)\nProf. Deniz Erdogmus\nProf. Lili Su \nAbstract:\nThe necessity for distributed data fusion arises from the increasing demand to integrate diverse and voluminous data sources\, especially in applications where large numbers of users are collaborating to perform inference and learning tasks. This integration is crucial when data is available in a distributed manner or originates from various sensor types\, aiming to deduce specific quantities of interest accurately. Moreover\, the importance of privacy cannot be overstated\, particularly in scenarios where sensitive information\, such as location data\, is involved. Federated learning emerges as a pivotal solution in this context\, enabling model training on local datasets without the need to exchange the data itself\, thus preserving user privacy. However\, the deployment of these technologies encounters significant challenges\, including the multiple counting problem in data fusion\, where data may be redundantly used across different estimations without user awareness\, and the non-IID problem in federated learning\, where the non-identically distributed nature of data across clients can severely hamper the model’s performance. \nTo address these challenges\, this dissertation explores the intersection of data fusion\, federated learning\, and Bayesian methods\, with a focus on applied problems in indoor localization\, satellite-based navigation\, and image processing that spans both theoretical analysis and practical application. In the realm of data fusion\, we delve into the Bayesian framework to offer a solution that not only facilitates the optimal integration of sensor data with prior knowledge but also navigates the intricacies of feature fusion effectively. This approach mitigates the multiple counting issue by ensuring that the fusion of local estimates accounts for the overuse of prior knowledge. In tackling the problems inherent to federated learning\, particularly the non-IID issue\, we introduce novel frameworks and algorithms designed to enhance model training and performance in a privacy-preserving manner. We explore personalized and clustered federated learning as methods to customize the learning process to individual client characteristics and to group clients with similar data traits\, respectively. A number of practical problems are explored using those federated methodologies\, including indoor fingerprinting\, jamming interference classification\, or image classification tasks. Noticeably\, this thesis proposes a novel Bayesian clustered federated learning framework that generalizes existing clustered federated learning schemes by leveraging Bayesian data association modeling. By implementing a Bayesian perspective within these frameworks\, the dissertation proposes practical algorithms that achieve a balance between performance and computational efficiency\, ultimately advancing the application of distributed data fusion and federated learning in privacy-sensitive fields.
URL:https://coe.northeastern.edu/event/peng-wu-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240415T133000
DTEND;TZID=America/New_York:20240415T143000
DTSTAMP:20260417T053015
CREATED:20240410T210005Z
LAST-MODIFIED:20240410T210005Z
UID:43327-1713187800-1713191400@coe.northeastern.edu
SUMMARY:Lin Deng PhD Dissertation Defense
DESCRIPTION:Name:\nLin Deng \nTitle:\nFunction Capacity Expansion of Nano-Optics via Multiplexed Metasurfaces \nDate:\n4/15/2024 \nTime:\n1:30:00 PM \nLocation:\nSL 011 \nCommittee Members:\nProf. Yongmin Liu (advisor)\nProf. Hossein Mosallaei\nProf. Sunil Mittal \nAbstract:\nThroughout history\, the exploration of light has been fundamental to our understanding of the world and has driven advancements in technology and communication. Metasurfaces\, composed of rationally designed nanostructures\, offer a revolutionary means to control light in a prescribed manner. Metasurfaces can operate in conventional free space\, and the emerging integrated photonics domain. Maximizing functionality and degrees of freedom (DOFs) in both arenas is paramount. My thesis aims to push the limit of metasurface capabilities by leveraging multiplexing strategies across input/output parameters such as polarization\, incidence angle\, and waveguide mode. I will present three novel metasurfaces as follows. \n(1) We aim to expand nano-printing multiplexing capacity using the Polarization-Encoded Lenticular Nano-Printing (Pollen) method. When employing three input/output polarization pairs and varying detection angles\, a single metasurface device enables the observation of up to 49 high-resolution nano-printing images. \n(2) By integrating metasurfaces with waveguides\, we can couple guided modes to free space while controlling wavefront and polarization. Our research exploits the multiplexed on-chip metasurface\, which could generate multiple functions depending on the polarization states and waveguide mode propagation directions. \n(3) We investigated mode division multiplexing (MDM) for high-volume optical transmission\, enabling multiple waveguide modes to coexist without interference. By manipulating the orientations of individual nanoantennas\, we have achieved on-demand mode conversion and focusing effects\, demonstrating promising results in various scenarios.  \nIn conclusion\, my research seeks to push the boundaries of metasurface functionalities through innovative multiplexing approaches. The research findings allow us to unlock new possibilities in optical display\, communication\, manipulation\, and beyond by integrating multiple functionalities into single free-space and on-chip metasurfaces.
URL:https://coe.northeastern.edu/event/lin-deng-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240415T140000
DTEND;TZID=America/New_York:20240415T153000
DTSTAMP:20260417T053015
CREATED:20240410T205619Z
LAST-MODIFIED:20240410T210310Z
UID:43334-1713189600-1713195000@coe.northeastern.edu
SUMMARY:David Femi Lamptey MS Thesis Defense
DESCRIPTION:Name:\nDavid Femi Lamptey \nTitle:\nCoordinating Camera and Millimeter-Wave Imaging Systems to Detect Concealed Threats in Public Spaces \nDate:\n4/15/2024 \nTime:\n2:00:00 PM \nLocation:\nSnell Library CoLab J \nCommittee Members:\nProf. Carey Rappaport (Advisor)\nProf. Octavia Camps\nProf. Sarah Ostadabbas \nAbstract:\nThis paper tackles the problem of uniquely identifying and tracking targets for the purposes of concealed threat detection in public spaces. Cameras\, computer vision techniques\, and deep neural networks have made the task of detecting and tracking people in videos almost trivial but provide no means for the detection of otherwise concealed threats a target may be carrying\, while millimeter-wave radars provide a means to perform accurate scanning for concealed objects on a target\, but do not provide enough information for tracking and unique identification of a target\, particularly one with a concealed threat or contraband. This paper proposes a method utilizing a video camera stream and millimeter-wave multi-beam radar fusion in order to identify people in a public space\, track them\, and identify the best beam in a multi-beam radar to refer to at any given point in time in order to obtain the best scan of a particular target from the millimeter-wave radar\, which will then enable an effective determination of a concealed threat. We focus on the computer vision aspects of this challenge\, implementing a tracker and an algorithm to look up the best beam in the radar to associate with a target at a point in time. This algorithm uses the properties of the camera\, such as the video resolution\, field of view of the camera\, internal parameters of the camera\, and elevation of the camera\, in order to perform an estimation of the distance of a person from the camera and perform a determination of the optimal beam to look at for a clear view of the target. This approach was optimized using an efficient spatial indexing lookup technique based on the R-tree data structure. The results from this paper show that this technique is robust\, accurate\, and versatile for a wide variety of scenarios and that the real-time tracking and association between targets and millimeter-wave beams can be performed accurately. We conclude that this technique is a fitting solution to the problem of camera and millimeter-wave multi-beam radar fusion in order to identify concealed threats on targets in public spaces.
URL:https://coe.northeastern.edu/event/david-femi-lamptey-ms-thesis-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240416T140000
DTEND;TZID=America/New_York:20240416T150000
DTSTAMP:20260417T053015
CREATED:20240416T134623Z
LAST-MODIFIED:20240416T134623Z
UID:43398-1713276000-1713279600@coe.northeastern.edu
SUMMARY:LeetCode Mock Interviews - A CommLab Workshop
DESCRIPTION:Join the CommLab any Tuesday from 2-3 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-a-commlab-workshop/2024-04-16/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240416T140000
DTEND;TZID=America/New_York:20240416T153000
DTSTAMP:20260417T053015
CREATED:20240410T205747Z
LAST-MODIFIED:20240410T205814Z
UID:43330-1713276000-1713281400@coe.northeastern.edu
SUMMARY:Nolan Pearce MS Thesis Defense
DESCRIPTION:Name:\nNolan Pearce \nTitle:\nDownlink Transmit Beamforming: Single-Carrier Acoustic Communication in a Noisy Environment \nDate:\n4/16/2024 \nTime:\n2:00:00 PM \nLocation:\nEXP-601A: \nCommittee Members:\n1. Prof. MIlica Stojanovic (Advisor)\n2. Prof. Stefano Basagni\n3. Prof. Josep Jornet\n4. Dr. Dimitrios Koutsonikolas \nAbstract:\nNoisy wireless acoustic channels produce intersymbol interference (ISI) from multipath propagation. This interference may be reduced by equalization techniques but require computationally intensive receiver algorithms. Typically\, beamforming methods are implemented at the uplink receiver to reduce complexity of equalization methods. However\, these methods require a receiver array. Using angle estimation of a transmitter\, beamforming techniques can be applied in downlink signal transmission to reduce equalizer complexity. This hypothesis is supported through simulation and applied to an open-air acoustic channel for significant performance improvement. Improving downlink signals through beamforming enables less complex user design suitable for single-carrier communications.
URL:https://coe.northeastern.edu/event/nolan-pearce-ms-thesis-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240416T150000
DTEND;TZID=America/New_York:20240416T163000
DTSTAMP:20260417T053015
CREATED:20240410T205310Z
LAST-MODIFIED:20240410T210425Z
UID:43338-1713279600-1713285000@coe.northeastern.edu
SUMMARY:Zihan Wei MS Thesis Defense
DESCRIPTION:Name:\nZihan Wei \nTitle:\nSpatial Correlation Based Broadband Acoustic Beamforming \nDate:\n4/16/2024 \nTime:\n3:00:00 PM \nLocation:\nEXP-601A \nCommittee Members:\n1. Prof. Milica Stojanovic (Advisor)\n2. Prof. Stefano Basagni\n3. Prof. Josep Jornet \nAbstract:\nThis thesis presents a spatial correlation based broadband acoustic beamforming approach\, addressing significant challenges pertains to acoustic communication channels\, such as time-varying multipath propagation and volatile phase fluctuations due to surface reflections. The proposed beamforming approach utilizes the synchronization preamble\, a high-resolution pseudo-random sequence\, to estimate the spatial correlation matrices for each frequency bin and decompose these spatial correlation matrices using singular vector decomposition. The singular vectors are then applied to each carrier of the orthogonal frequency division multiplexing signals as beamforming weights. The proposed algorithm is demonstrated using simulations and an in-air acoustic communications testbed. Performance metrics such as the mean squared error and bit error rate are presented\, demonstrating excellent performance improvement over the angle-based beamforming approach.
URL:https://coe.northeastern.edu/event/zihan-wei-ms-thesis-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240417T120000
DTEND;TZID=America/New_York:20240417T133000
DTSTAMP:20260417T053015
CREATED:20240410T205702Z
LAST-MODIFIED:20240410T210230Z
UID:43332-1713355200-1713360600@coe.northeastern.edu
SUMMARY:Raana Sabri Khiavi PhD Dissertation Defense
DESCRIPTION:Name:\nRaana Sabri Khiavi \nTitle:\nTheory and Design of Spatiotemporal Metasurfaces for Comprehensive Control of Light \nDate:\n4/17/2024 \nTime:\n12:00:00 PM \nLocation:\nIn person: Exp 311 \nCommittee Members:\nProf. Hossein Mosallaei (Advisor)\nProf. Josep Jornet (Co-advisor)\nProf. Charles Dimarzio\nProf. Siddhartha Ghosh \nAbstract:\nPhotonic metasurfaces are key components for manipulating almost all properties of light such as amplitude\, phase\, polarization\, wave vector\, pulse shape and orbital angular momentum at subwavelength scale. They are capable of sculpting the wavefront of the scattered light through imparting spatial or temporal modulation. Recently\, considerable efforts have been devoted to design active metasurfaces that enable real-time tuning and post-fabrication control of the optical response. Toward achieving this goal\, electro-optically tunable materials such as doped semiconductors\, MQWs\, and atomically thin sheets are incorporated into the building blocks of the geometrically-fixed metasurfaces. Despite the significant progress in this field\, there have been several limitations imparted to the optical response of such so-called quasi-static metasurfaces. Remarkably\, the strong resonant dispersion in such metasurfaces leads to narrow spectral and angular bandwidths. In addition\, the co-varying amplitude and phase response as well as the limited phase modulation give rise to undesired artefacts manifested on their output profiles. The slow response time to the external stimuli is another drawback that restricts the performance of the metasurfaces. Introducing time into the external stimulus of the metasurfaces\, as an additional degree of freedom\, offers a way out to surmount the obstacles facing the quasi-static metasurfaces. Modulation in time enables myriad of exotic space-time scattering phenomena\, where possibility to break the reciprocity and generation/manipulation of the sideband scattered signals offer the most appealing functionalities. In a space-time device\, the reciprocity constraint is lifted\, and time-reversal symmetry is broken. This effect can enable optical isolation and circulation\, while allowing for attaining full-duplex communication by rejecting the interference between up and down communication links. In addition\, sideband generation/manipulation provides access to the dispersionless modulation-induced phase shift with full 2pi span as well as a constant amplitude. The objective of this dissertation is to investigate the mechanisms for yielding reconfigurable plasmonic/all-dielectric metasurfaces in both space and time. Several realizations of quasi-static and time-modulated devices integrated with the electro-optical materials such as  ITO and InAs with the potential for high reflection and wide phase modulation are presented. It has been shown that time-modulated metasurfaces are superior to their quasi-static counterparts. Novel and unique applications of space-time photonic metasurfaces by spatiotemporal manipulation of light for all-angle\, broadband beam steering\, suppressing the undesired sidelobes\, high speed continuous beam scanning\, single sideband suppressed carrier modulation\, dispersionless dynamic wavefront engineering\, and magnetless power isolation at free space have been studied.
URL:https://coe.northeastern.edu/event/raana-sabri-khiavi-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240417T120000
DTEND;TZID=America/New_York:20240417T140000
DTSTAMP:20260417T053015
CREATED:20240410T205431Z
LAST-MODIFIED:20240410T210347Z
UID:43336-1713355200-1713362400@coe.northeastern.edu
SUMMARY:Bengisu Ozbay PhD Dissertation Defense
DESCRIPTION:Name:\nBengisu Ozbay \nTitle:\nFast Semi-Algebraic Clustering for Efficient System Identification and \nGeometric Scene Understanding \nDate:\n4/17/2024 \nTime:\n12:00:00 PM \nLocation:(EV) 102 \nCommittee Members:\nProf. Mario Sznaier (Advisor)\nProf. Octavia Camps\nProf. Taskin Padir\nProf. Rifat Sipahi \nAbstract:\nAs the demand for data-driven techniques in machine learning and computer vision continues to rise\, the reliance on unsupervised learning methods becomes increasingly prevalent. Piecewise linear or affine models offer versatile solutions across various domains\, including system identification and computer vision tasks. \nThis dissertation introduces an efficient methodology that relies solely on singular value decomposition of matrices\, maintaining a fixed size independent of the total number of data points. Remarkably\, this method only requires execution a number of times equivalent to the number of clusters. Through singular value decomposition (SVD) of the empirical moments matrix containing the data\, we demonstrate the feasibility of identifying the polynomials representing hyperplanes. Central to this approach is the utilization of polynomials and Christoffel functions\, facilitating the partitioning of data into distinct clusters\, each with its own set of parameters extracted using application-specific techniques. \nThe dissertation explores various challenges\, including semi-algebraic clustering\, identification of switching auto-regressive models with exogenous inputs (SARX)\, affine linear subspace clustering\, two-view motion segmentation\, identification of Wiener systems\, and switched nonlinear system identification using block-oriented models. The proposed semi-algebraic clustering framework identifies reliable subsets from data\, sequentially segments data using Christoffel polynomials\, and extends the approach beyond linear affine arrangements to address challenges involving quadratic surfaces in two-view motion segmentation and higher order algebraic varieties in switched-Wiener system identification. \n 
URL:https://coe.northeastern.edu/event/bengisu-ozbay-phd-dissertation-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240417T133000
DTEND;TZID=America/New_York:20240417T143000
DTSTAMP:20260417T053015
CREATED:20240405T203435Z
LAST-MODIFIED:20240405T212740Z
UID:43262-1713360600-1713364200@coe.northeastern.edu
SUMMARY:Soft Matter Days
DESCRIPTION:Soft Matter Days: April 8-17\, will feature invited guest speakers discussing a variety of interdisciplinary topics in soft matter and complex fluids.  These topics sit at the interface of chemical & mechanical engineering\, materials science\, physics\, chemistry\, and biology.  Guest speakers will discuss real-world phenomena found in food\, blood flow\, and granular materials.  Two talks are guest lectures in CHME5179: RSVP required for those not in the class. \nMonday\, April 8\, 2:15pm\, Curry 340\nCapillary Rise and Thin Films Near Edges: New Insights from Self-similarity\nHoward Stone\, Princeton University\nHost: Xiaoyu Tang x.tang@northeastern.edu \nTuesday\, April 9\, 9:50am\, Zoom (Guest Lecture for CHME 5179)\n“Complex Fluids & Soft Matter in Food”\nDave Weitz\, Harvard University\nRSVP: Sara Hashmi s.hashmi@northeastern.edu \nThursday\, April 11\, 1:30pm\, HS 210\nDynamics of blood flow at the cellular level in health and disease\nMichael Graham\, University of Wisconsin\nHost: Sara Hashmi s.hashmi@northeastern.edu \nFriday\, April 12\, 9:50am\, Zoom (Guest Lecture for CHME 5179)\nNonlinear Rheology of Complex Fluids: Exploring Microstructure\nKate Honda\, Northeastern University\nRSVP: Sara Hashmi s.hashmi@northeastern.edu \nWednesday\,  April 17\, 1:30pm\, HS 210\nUniversality and scaling in shear thickening suspensions\nBulbul Chakraborty\, Brandeis University\nHost: Sara Hashmi s.hashmi@northeastern.edu
URL:https://coe.northeastern.edu/event/soft-matter-days/2024-04-17/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240417T140000
DTEND;TZID=America/New_York:20240417T150000
DTSTAMP:20260417T053015
CREATED:20240118T180754Z
LAST-MODIFIED:20240118T180754Z
UID:41442-1713362400-1713366000@coe.northeastern.edu
SUMMARY:LinkedIn\, CV\, Resume: A CommLab Workshop Series
DESCRIPTION:Join our empowering LinkedIn\, CV\, and Resume Workshop series any Wednesday from 2 pm to 3 pm ET. This collaborative space offers valuable tips and peer feedback to enhance your online profile and professional presence. This is a community learning initiative\, and together\, we strive to make our profiles better. Join this hybrid workshop series either in person in room 206 Egan or through Zoom.
URL:https://coe.northeastern.edu/event/linkedin-cv-resume-a-commlab-workshop-series-3/2024-04-17/
LOCATION:206 Egan\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
GEO:42.3376753;-71.0888734
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=206 Egan 360 Huntington Ave Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave:geo:-71.0888734,42.3376753
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240418
DTEND;VALUE=DATE:20240420
DTSTAMP:20260417T053015
CREATED:20240321T142725Z
LAST-MODIFIED:20240321T142725Z
UID:42974-1713398400-1713571199@coe.northeastern.edu
SUMMARY:eMerge Americas - The Premier Global Tech Conference
+ Expo
DESCRIPTION:Join the COE Graduate Admissions team at the eMerge Americas Conference in Miami\, FL! We’ll be at the Expo on both April 18 & 19 with our biggest booth yet! Come say hi and ask your questions about graduate school at Northeastern\, including learning more about our newest campus in Miami!
URL:https://coe.northeastern.edu/event/emerge-americas-the-premier-global-tech-conference-expo/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240418T140000
DTEND;TZID=America/New_York:20240418T150000
DTSTAMP:20260417T053015
CREATED:20240118T204753Z
LAST-MODIFIED:20240321T134631Z
UID:41489-1713448800-1713452400@coe.northeastern.edu
SUMMARY:Mock Interview: A CommLab Workshop Series
DESCRIPTION:Join the CommLab every Thursday from 2-3pm ET\, we’ll delve into the intricacies of interviews\, unveiling effective tricks and 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 either in person in room 206 Egan or through Zoom.
URL:https://coe.northeastern.edu/event/mock-interview-a-commlab-workshop-series/2024-04-18/
LOCATION:206 Egan\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
GEO:42.3376753;-71.0888734
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=206 Egan 360 Huntington Ave Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave:geo:-71.0888734,42.3376753
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240418T170000
DTEND;TZID=America/New_York:20240418T190000
DTSTAMP:20260417T053015
CREATED:20240328T140257Z
LAST-MODIFIED:20240408T135507Z
UID:42947-1713459600-1713466800@coe.northeastern.edu
SUMMARY:Northeastern National Academy of Inventors Spring 2024 Meeting
DESCRIPTION:Please join us for the National Academy of Inventors Northeastern Chapter Spring 2024 meeting.\n\nWith two dynamic speakers headlining the event\, attendees will gain invaluable insights into the latest advancements shaping various industries. \nOur first speaker\, Shawn P. Williams\, is a materials technologists specializing in Battery Thesis. He will unveil groundbreaking strategies aimed at revolutionizing technology and industry. Discover how the development of cutting-edge materials is driving enhanced performance\, durability\, and functionality across a multitude of applications\, from electronics and aerospace to healthcare and construction. \nNext\, dive into the world of 3D printing with the Fortify general counsel\, David R. Widom\, as he discusses the innovative DCM platform. With its patented technology\, this platform is transforming the additive manufacturing landscape by enhancing the performance of components. Learn how the seamless integration of aligned reinforcing fibers\, magnetics\, and DLP is paving the way for the creation of customized microstructures in high-resolution 3D printed composite parts.
URL:https://coe.northeastern.edu/event/northeastern-national-academy-of-inventors-spring-2024-meeting/
LOCATION:Raytheon Amphitheater (240 Egan)\, 360 Huntington Ave\, 240 Egan\, Boston\, MA\, 02115\, United States
ORGANIZER;CN="Center for Research Innovation":MAILTO:cri@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240418T200000
DTEND;TZID=America/New_York:20240418T230000
DTSTAMP:20260417T053015
CREATED:20240408T135147Z
LAST-MODIFIED:20240412T173051Z
UID:43285-1713470400-1713481200@coe.northeastern.edu
SUMMARY:Late Night Breakfast
DESCRIPTION:Late Night Breakfast is back! Hosted by NUCOE in partnership with Northeastern Dining\, Northeastern Housing and Residential Life\, and NU Resident Student Association\, this one-night-only event is the perfect opportunity to take a break from studying and enjoy a crave-worthy and comforting meal. Complimentary tickets will be available for pick-up beginning April 10 (see details below) at Campus Crossroads in Curry Student Center—be sure to BRING YOUR HUSKY CARD! At that time\, you can select which location you’d prefer to visit for Late Night Breakfast\, while supplies last. Tickets are distributed ONE PER PERSON and are only available for a limited time. On the night of the event\, show your ticket and Husky Card to the cashier upon entry to your specified location. Entry is not permitted without your ticket AND Husky Card. \nLocation: United Table at International Village and The Eatery at Stetson East. You may only visit one location (The Eatery OR United Table) for the event. No swipe will be taken for entry. \nTicket Distribution (Campus Crossroads\, CSC):\nApril 10 — 11:00 am – 3:00 pm\nApril 11 — 5:00 pm – 7:00 pm\nApril 12\, — 11:00 am – 1:00 pm\n(Tickets are now sold out).
URL:https://coe.northeastern.edu/event/late-night-breakfast-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240419T140000
DTEND;TZID=America/New_York:20240419T170000
DTSTAMP:20260417T053015
CREATED:20240403T181541Z
LAST-MODIFIED:20240403T181541Z
UID:43186-1713535200-1713546000@coe.northeastern.edu
SUMMARY:Ruopeng Jia MS Thesis Defense
DESCRIPTION:Announcing:\nMS Thesis Defense \nName:\nRuopeng Jia \nTitle:\nEngineering Super-modes of Coupled Ring Resonator Arrays \nDate:\n4/19/2024 \nTime:\n2:00:00 PM \nCommittee Members:\n1) Sunil Mittal (Advisor)\n2) Prof. Yongmin Liu\n3) Prof. Ghosh Siddhartha \nAbstract:\nIn the past year of learning and research\, we have mastered the ability to analyze and modulate various resonant ring structures using Hamiltonian operators. Using genetic optimization algorithms\, we have achieved a precisely controllable four wave mixing process under simulated conditions.
URL:https://coe.northeastern.edu/event/ruopeng-jia-ms-thesis-defense/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240422T090000
DTEND;TZID=America/New_York:20240422T094500
DTSTAMP:20260417T053015
CREATED:20240326T153230Z
LAST-MODIFIED:20240326T153230Z
UID:43047-1713776400-1713779100@coe.northeastern.edu
SUMMARY:GSE Spring 2024 Wonder Week: Bioengineering
DESCRIPTION:In this webinar you’ll learn about bioengineering and how this field strives to create an atmosphere of innovation and creativity that fosters excellence in instruction and research and provides a foundation for programs that drive forward the cutting edge of knowledge while establishing translational collaborations with clinical and industrial researchers.
URL:https://coe.northeastern.edu/event/gse-spring-2024-wonder-week-bioengineering/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240422T100000
DTEND;TZID=America/New_York:20240422T104500
DTSTAMP:20260417T053015
CREATED:20240326T153205Z
LAST-MODIFIED:20240326T153205Z
UID:43049-1713780000-1713782700@coe.northeastern.edu
SUMMARY:GSE Spring 2024 Wonder Week: Mechanical & Industrial Engineering
DESCRIPTION:In this webinar you’ll learn about the mechanical and industrial engineering graduate programs at Northeastern University. You’ll learn about our experiential graduate programs including interdisciplinary research opportunities and world-renown co-op.
URL:https://coe.northeastern.edu/event/gse-spring-2024-wonder-week-mechanical-industrial-engineering/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240422T110000
DTEND;TZID=America/New_York:20240422T130000
DTSTAMP:20260417T053015
CREATED:20240129T143802Z
LAST-MODIFIED:20240321T134835Z
UID:41743-1713783600-1713790800@coe.northeastern.edu
SUMMARY:CommLab Writing Hours
DESCRIPTION:Graduate students\, are you looking for a place for focused research writing time?  Join the CommLab for writing hours on Mondays from 11 am-1 pm ET.  Drop in any Monday and stay for a short time or the whole two hours.  CommLab Fellows will be available to provide feedback on your writing.  We will be meeting in 335 Curry Student Center.
URL:https://coe.northeastern.edu/event/commlab-writing-hours-2/2024-04-22/
LOCATION:335 CSC\, 360 Huntington Ave\, CSC\, Boston\, MA\, 02115\, United States
GEO:42.339110916473;-71.087682620746
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=335 CSC 360 Huntington Ave CSC Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave\, CSC:geo:-71.087682620746,42.339110916473
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240423
DTEND;VALUE=DATE:20240426
DTSTAMP:20260417T053015
CREATED:20240108T150008Z
LAST-MODIFIED:20240108T150008Z
UID:41155-1713830400-1714089599@coe.northeastern.edu
SUMMARY:ODSC East 2024
DESCRIPTION:Join COE Graduate Admissions at the Open Data Science Conference in Boston\, MA! Ask your questions about our graduate engineering programs across the U.S. and Canada during the Expo Hall on April 25th. We look forward to meeting you there!
URL:https://coe.northeastern.edu/event/odsc-east-2024/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240423T080000
DTEND;TZID=America/New_York:20240423T084500
DTSTAMP:20260417T053015
CREATED:20240326T153133Z
LAST-MODIFIED:20240326T153133Z
UID:43052-1713859200-1713861900@coe.northeastern.edu
SUMMARY:GSE Spring 2024 Wonder Week: Telecommunications Networks & Cyber Physical Systems
DESCRIPTION:In this webinar\, you will learn about the Master of Science in Telecommunication Networks and the Master of Science Cyber-Physical Systems graduate programs and how you’ll become a prepared professional to address complex\, and ever-evolving engineering challenges.
URL:https://coe.northeastern.edu/event/gse-spring-2024-wonder-week-telecommunications-networks-cyber-physical-systems/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240423T110000
DTEND;TZID=America/New_York:20240423T114500
DTSTAMP:20260417T053015
CREATED:20240326T153104Z
LAST-MODIFIED:20240326T153104Z
UID:43055-1713870000-1713872700@coe.northeastern.edu
SUMMARY:GSE Spring 2024 Wonder Week: Product Development
DESCRIPTION:In this webinar you’ll learn more about the growing demand for product development and why it is the key to the success of businesses and the technology sector as it continues to fuel the world economy.
URL:https://coe.northeastern.edu/event/gse-spring-2024-wonder-week-product-development/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240423T140000
DTEND;TZID=America/New_York:20240423T150000
DTSTAMP:20260417T053015
CREATED:20240416T134623Z
LAST-MODIFIED:20240416T134623Z
UID:43400-1713880800-1713884400@coe.northeastern.edu
SUMMARY:LeetCode Mock Interviews - A CommLab Workshop
DESCRIPTION:Join the CommLab any Tuesday from 2-3 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-a-commlab-workshop/2024-04-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240424T080000
DTEND;TZID=America/New_York:20240424T090000
DTSTAMP:20260417T053015
CREATED:20240326T152932Z
LAST-MODIFIED:20240326T152932Z
UID:43061-1713945600-1713949200@coe.northeastern.edu
SUMMARY:GSE Spring 2024 Wonder Week: Robotics
DESCRIPTION:In this webinar you’ll learn about how you will gain a comprehensive understanding of the algorithms\, sensors\, control systems\, and mechanisms used in robotics to help them stand out in the field and make transformative impact on society.
URL:https://coe.northeastern.edu/event/gse-spring-2024-wonder-week-robotics/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
END:VCALENDAR