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X-WR-CALDESC:Events for Department of Electrical & Computer Engineering
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DTSTART;TZID=America/New_York:20230403T100000
DTEND;TZID=America/New_York:20230403T110000
DTSTAMP:20230320T205517Z
CREATED:20230320T205517Z
LAST-MODIFIED:20230320T205517Z
UID:6217-1680516000-1680519600@ece.northeastern.edu
SUMMARY:Jared Miller Ph.D Defense/Proposal Announcement
DESCRIPTION:“Safety Analysis for Nonlinear and Time-Delay Systems using Occupation Measures” \nInternational Village 022 \nCommittee Members:\nProf. Mario Sznaier (Advisor)\nProf. Octavia Camps\nProf. Bahram Shafai\nProf. Eduardo Sontag\nProf. Didier Henrion (LAAS-CNRS) \nAbstract:\nThis research extends an occupation measure framework to analyze the behavior and safety of dynamical systems. A motivating application of trajectory analysis is in peak estimation\, which finds the extreme values of a state function along trajectories. Examples of peak estimation include finding the maximum height of a wave\, voltage on a power line\, speed of a vehicle\, and infected population in an epidemic. Peak estimation can be applied towards safety quantification\, such as by measuring the safety of a trajectory by its distance of closest approach to an unsafe set. \nA finite-dimensional but nonconvex peak estimation problem can be converted into an infinite-dimensional linear program (LP) in measures\, which is in turn bounded by a convergent sequence of semidefinite programs. The LP is posed in terms of an initial\, a terminal\, and an occupational measure\, where the occupation measure contains all possible information about the dynamical systems’ trajectories. This research applies measure-based methods towards safety quantification (e.g. distance estimation\, control effort needed to crash)\, hybrid systems\, bounded-uncertain systems (including for data-driven analysis)\, stochastic systems\, and time-delay systems. The modularity of this measure-based framework allows for multiple problem variations to be applied simultaneously (e.g. distance estimation under time-delays)\, and for optimization models to be synthesized using MATLAB. Solving these optimization problems results in certifiable guarantees on system performance and behavior.
URL:https://ece.northeastern.edu/event/jared-miller-ph-d-defense-proposal-announcement/
LOCATION:MA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230404T123000
DTEND;TZID=America/New_York:20230404T133000
DTSTAMP:20230328T174955Z
CREATED:20230328T174955Z
LAST-MODIFIED:20230328T174955Z
UID:6229-1680611400-1680615000@ece.northeastern.edu
SUMMARY:Cheng Gongye's MS Thesis Defense
DESCRIPTION:“Using Floating-Point Timing Side-Channels to Reverse Engineer Deep Neural Networks” \nCommittee Members:\nProf. Yunsi Fei (Advisor)\nProf. Aidong Ding\nProf. Xiaolin Xu \nAbstract: \nTrained Deep Neural Network (DNN) models have become valuable intellectual property. A new attack surface has emerged for DNNs: model reverse engineering. Several recent attempts have utilized various common side channels. However\, recovering DNN parameters\, weights and biases\, remains a challenge. In this paper\, we present a novel attack that utilizes a floating-point timing side channel to reverse-engineer parameters of multi-layer perceptron (MLP) models in software implementation\, entirely and precisely. To the best of our knowledge\, this is the first work that leverages a floating-point timing side channel for effective DNN model recovery.
URL:https://ece.northeastern.edu/event/cheng-gongyes-ms-thesis-defense/
LOCATION:MA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230411T120000
DTEND;TZID=America/New_York:20230411T130000
DTSTAMP:20230405T175216Z
CREATED:20230405T175216Z
LAST-MODIFIED:20230405T175216Z
UID:6248-1681214400-1681218000@ece.northeastern.edu
SUMMARY:Tirthak Patel's Dissertation Defense
DESCRIPTION:“Robust System Software for Quantum Computing” \nCommittee Members: \nProf. Devesh Tiwari (Advisor) \nProf. David Kaeli \nProf. Ningfang Mi \nProf. Gene Cooperman \nProf. Kenneth Brown \nAbstract: \nDespite rapid progress in quantum computing in the last decade\, the limited usability of quantum computers remains a major roadblock toward its wider adoption. Current noisy intermediate-scale quantum (NISQ) computers produce highly erroneous program outputs for quantum-advantage-proven algorithms — that is\, algorithms that are infeasible or orders of magnitude slower on classical supercomputing and high-performance computing (HPC) clusters. Unfortunately\, currently\, quantum computing programmers lack robust system software tools and methods to make meaningful use of erroneous program executions on quantum computers. \nThis lack of capability is the core motivation behind the fundamental question this dissertation poses: “can we build system software tools for programmers to make the quantum program execution and output meaningful on NISQ machines?” This dissertation answers this question in the affirmative— experimentally demonstrating on real-system quantum computers that it is possible to extract near-accurate program output from noisy executions on today’s erroneous quantum computers\, ironically using classical HPC resources and knowledge. This dissertation demonstrates how to achieve this goal without requiring user intervention\, domain knowledge about quantum algorithms\, or additional quantum hardware support. \nUnfortunately\, as this dissertation uncovers\, progressing toward making quantum computers usable is a double-edged sword. In the near future\, only a few entities in the world may have access to powerful quantum computers\, and these quantum computers will be used to solve previously-unsolved large-scale optimization problems\, possibly without an explicit trust model between the service provider and the customer. Therefore\, this dissertation envisions that the solutions to such large-scale optimization problems will be considered sensitive and will need to be protected. This dissertation takes the first few steps toward preparing us for that future by developing a novel method that intelligently obfuscates near-accurate program output and quantum circuit structure to preserve a customer’s privacy under a specified computation model and resource availability. \nThe approaches introduced in this dissertation open up new research avenues for hybrid quantum-classical computing and lower the barrier to entry for quantum computing research for the experimental computer systems and HPC community by open-sourcing multiple novel datasets and software frameworks implemented for real-system quantum computers. \nCandidate Bio: \nTirthak Patel is an incoming Assistant Professor in the Department of Computer Science at Rice University; currently\, a PhD candidate at Northeastern University\, advised by Professor Devesh Tiwari. Tirthak conducts systems-level research at the intersection of quantum computing and high-performance computing (HPC). His research contributions have appeared at rigorously peer-reviewed publication venues including ASPLOS\, Supercomputing (SC)\, HPDC\, HPCA\, and USENIX FAST\, and have been recognized with multiple award distinctions. He has received the ACM-IEEE CS George Michael Memorial HPC Fellowship\, the NSERC Alexander Graham Bell Canada Graduate Scholarship\, and the Northeastern University Outstanding Graduate Student in Research award\, for his research contributions toward making noisy quantum computing systems useful and helping HPC programmers solve computationally challenging problems.
URL:https://ece.northeastern.edu/event/tirthak-patels-dissertation-defense/
LOCATION:442 Dana\, 360 Huntington Ave\, 442 DA\, Boston\, MA\, 02115\, United States
GEO:42.3387508;-71.0923044
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230412T150000
DTEND;TZID=America/New_York:20230412T170000
DTSTAMP:20230405T175342Z
CREATED:20230405T175342Z
LAST-MODIFIED:20230405T175342Z
UID:6250-1681311600-1681318800@ece.northeastern.edu
SUMMARY:IER Open House
DESCRIPTION:Following our success with last year’s Open House\, we are again opening the lab up to visitors! This year\, demos will be held on the 5th floor of ISEC by Yingzi Lin\, Ilya Vidrin\, Alireza Ramezani\, Taskin Padir\, Kris Dorsey\, Rob Platt\, and Hanu Singh. In Richards Hall\, Dagmar Sternad\, CJ Hasson\, and Max Shepherd will be hosting demos as well.\n\n\nThe flyer for this event is attached. Please reach out to Noah (n.smith@northeastern.edu) with any questions! Make sure to register here: https://www.eventbrite.com/e/institute-for-experiential-robotics-open-house-tickets-603775106597
URL:https://ece.northeastern.edu/event/ier-open-house/
LOCATION:532 ISEC\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230413T160000
DTEND;TZID=America/New_York:20230413T170000
DTSTAMP:20230405T174232Z
CREATED:20230405T174232Z
LAST-MODIFIED:20230405T174232Z
UID:6246-1681401600-1681405200@ece.northeastern.edu
SUMMARY:Hussein Hussein’s PhD Dissertation Defense
DESCRIPTION:“Parametric Circuits for Enhanced Sensing and RF Signal Processing” \nCommittee Members: \nProf. Cristian Cassella (Advisor) \nProf. Marvin Onabajo \nProf. Matteo Rinaldi \nProf. Andrea Alù \nAbstract: \nMassive deployments of wireless sensor nodes (WSNs) that continuously detect physical\, biological or chemical parameters are needed to truly benefit from the unprecedented possibilities opened by the Internet‑of‑Things (IoT). Just recently\, new sensors with higher sensitivities have been demonstrated by leveraging advanced on‑chip designs and microfabrication processes. Yet\, WSNs using such sensors require energy to transmit the sensed information. Consequently\, they either contain batteries that need to be periodically replaced or energy harvesting circuits whose low efficiencies prevent a frequent and continuous sensing\, even impacting the maximum range of communication. Here\, we discuss a new battery-less and harvester-free remote sensing tag\, namely the subharmonic tag (SubHT)\, leveraging unique nonlinear characteristics to fundamentally break any previous paradigms for passive WSNs. SubHT can sense and transmit information without requiring supplied or harvested DC power. Also\, it transmits the sensed information at a difference frequency from the one of its interrogation signal\, rendering its reader immune from multi-path\, from clutter and from its own self‑interference. Also\, even though SubHT may not require any advanced and expensive manufacturing\, its unique nonlinear response enables extraordinary high sensitivities and dynamic ranges that can even surpass those achieved by the most advanced on-chip sensors. More interestingly\, SubHT can be even configured to operate in a “threshold sensing” mode\, making it able to respond to any interrogation signal only when the sensed parameter has exceeded a remotely reprogrammable threshold\, as well as to memorize any violation in a sensed parameter without requiring any memory components. In this talk\, the first SubHT prototypes for temperature sensing will be showcased. Even more\, we will show how including high quality factor (Q) resonators in a SubHT’s network allows to implement even more functionalities\, such as the long-range identification or tracking of any items or localization and navigation in a GPS denied environment. Yet\, the dynamics exploited by SubHT can also be leveraged to address various needs along radio-frequency (RF) chains. In this regard\, we show how the SubHT’s nonlinear dynamics can be leveraged to build components\, such as parametric filters\, frequency selective limiters and signal to noise enhancers\, that improve the stability of RF frequency synthesizers and instinctually suppress co-site or self-interferes\, paving an unprecedented path towards integrated radios with improved performance and longer battery-life time.
URL:https://ece.northeastern.edu/event/hussein-husseins-phd-dissertation-defense/
LOCATION:432 ISEC\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
GEO:42.3396156;-71.0886534
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230420T080000
DTEND;TZID=America/New_York:20230420T170000
DTSTAMP:20230420T223901Z
CREATED:20230420T223901Z
LAST-MODIFIED:20230420T223901Z
UID:6279-1681977600-1682010000@ece.northeastern.edu
SUMMARY:Chenghao Wang's MS Thesis Defense
DESCRIPTION:“Legged Walking on Inclined Surfaces” \nCommittee Members:\nProf. Alireza Ramezani(Advisor)\nProf. Miriam Leeser\nProf. Bahram Shafai \nAbstract:\nThe main contributions of this MS Thesis are centered around taking steps towards successful multi-modal demonstrations using Northeastern’s legged-aerial robot\, Husky Carbon. This work discusses the challenges involved in achieving multi-modal locomotion such as trotting-hovering and thruster-assisted incline walking and reports progress made towards overcoming these challenges. Animals like birds use a combination of legged and aerial mobility\, as seen in Chukars’s wing-assisted incline running (WAIR)\, to achieve multi-modal locomotion. Chukars use forces generated by their flapping wings to manipulate ground contact forces and traverse steep slopes and overhangs. Husky’s design takes inspiration from birds such as Chukars. This MS thesis presentation outlines the mechanical and electrical details of Husky’s legged and aerial units. The thesis presents simulated incline walking using a high-fidelity model of the Husky Carbon over steep slopes of up to 45 degrees.
URL:https://ece.northeastern.edu/event/chenghao-wangs-ms-thesis-defense/
LOCATION:532 ISEC\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230424T110000
DTEND;TZID=America/New_York:20230424T123000
DTSTAMP:20230420T223740Z
CREATED:20230420T223436Z
LAST-MODIFIED:20230420T223740Z
UID:6277-1682334000-1682339400@ece.northeastern.edu
SUMMARY:Cunzheng Dong's PhD Proposal Review
DESCRIPTION:“Acoustically Actuated Magnetoelectric Antennas for VLF Communication and Magnetic Sensing” \nCommittee Members:\nProf. Nian Sun (Advisor)\nProf. Yongmin Liu\nProf. Hossein Mosallaei \nAbstract:\nSince the discovery of strong magnetoelectric (ME) coupling in two-phase ME laminate composites\, strain-mediated ME heterostructures have attracted a great deal of attention from academic and industrial research groups for their potential usage in magnetic sensors\, voltage tunable inductors\, magnetic tunable filters\, and miniaturized mechanical antennas\, etc. Acoustically actuated ME antennas have recently been demonstrated as a promising solution for very low frequency (VLF) communications and magnetic fields detection\, for their 2-3 orders of reduced dimensions\, outstanding sensitivity at resonance\, and robust immunity to electrical interferences than conventional electric antennas. Their performance and noise analysis are deeply investigated and discussed in this proposal review. \nFirstly\, A portable VLF communication system using one pair of ME antennas operating at their electromechanical resonance (EMR) is presented. The measured near-field radiation pattern reveals ME antennas are equivalent to magnetic dipole antennas. The magnetic field radiated by the ME transmitter has been predicted along with distance from near-field to far-field. The measured magnetic field distribution coincided well with the prediction\, and the maximum communication distance of 120 m has been achieved by single antenna unit. Antenna arrays are widely used as an effective approach to enhance radiation field intensity. By tunning all the driving signal for each antenna unit at the same frequency and in phase\, the total radiation field strength has been linearly enhanced by one order with 12 antenna arrays. Furthermore\, nonlinear antenna modulation (NAM) has also been successfully demonstrated on the ME antennas. \nSecondly\, a Metglas/Quartz based ME resonator as magnetic sensor for reception of VLF magnetic signals is presented. Metglas is a highly permeable magnetostrictive material which can effectively concentrate the magnetic fields. Moreover\, the high magnetostriction and low coercivity of Metglas can generate a distinct strain change in response to subtle magnetic fields. Piezoelectric single crystal Quartz is often used as electronic oscillators due to their extremely high Q factor with low noise and high stability. The combined properties of these two materials provide ME sensors an extremely high sensitivity and low magnetic noise of less than 10 fT at the EMR frequency. The VLF signal reception capability of the proposed ME sensor was also compared with a conventional VLF loop antenna and the PZT-5A based ME sensor. \nLastly\, a compact and sensitive system was developed to characterize the magnetomechanical properties\, such as the saturation magnetostriction\, piezomagnetic coefficient\, delta-E effect and magnetomechanical coupling factor of magnetic thin films. These magnetomechanical properties are critical in determining the performance of ME antennas. For saturation magnetostriction and piezomagnetic coefficient measurement\, a high precision optical probe was harnessed to measure the deflection of the magnetic thin film/Si cantilever due to strain change induced by domain rotation. The same cantilever samples were used for delta-E effect and magnetomechanical coupling factor characterization\, the DC bias magnetic field induced cantilever resonance frequency shift was used for calculating the change of elastic modulus.
URL:https://ece.northeastern.edu/event/cunzheng-dongs-phd-proposal-review/
LOCATION:MA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230425T130000
DTEND;TZID=America/New_York:20230425T143000
DTSTAMP:20230420T223701Z
CREATED:20230420T223701Z
LAST-MODIFIED:20230420T223701Z
UID:6273-1682427600-1682433000@ece.northeastern.edu
SUMMARY:Rashida Nayeem's PhD Dissertation Defense
DESCRIPTION:“Human control of objects with nonlinear internal dynamics: Predictability as primary objective” \nLocation:\nEgan Research Ctr 206 \nCommittee Members:\nProf. Dagmar Sternad (Advisor)\nProf. Eduardo Sontag\nProf. Mario Sznaier\nDr. David Lin (Massachusetts General Hospital & Harvard Medical School) \nAbstract:\nHumans physically interact with complex objects in numerous daily activities. An example is picking up a cup of coffee where interaction forces arise between the hand and the sloshing liquid. For successful actions\, error corrections based on real-time sensed information are insufficient\, hence humans need to predict and preempt the evolving dynamics. Our previous work on the transport of a “cup of coffee” showed that humans seek to make the interaction dynamics simple\, i.e.\, predictable. Extending from previous work\, this thesis used a virtual paradigm where the “cup of coffee” was simplified to a cup with a ball sliding inside\, retaining the challenges of “a cup filled with coffee”: underactuation and nonlinearity. A series of experiments examined human strategies in different contexts to demonstrate that predictability is a control priority. The first experimental and modeling study examined how subjects explored and prepared the 2D cup-and-ball system prior to continuous interaction. Results showed that subjects converged to a small set of initial conditions that shortened initial transients\, enabling subjects to reach a more predictable steady state faster. Two follow-up studies examined the role of visual and haptic information and revealed that despite suboptimal exploration of the solution space\, subjects increased predictability of hand object interactions. System identification showed that visual information enabled subjects to simplify input-output behavior via appropriate object preparation. When deprived of haptic information subjects still achieved increased predictability but sacrificed orbital stability. A final study extended this basic paradigm to a clinical application to investigate if these insights could help in assessment of motor impairment after stroke in this functionally relevant ‘self-feeding’ task. To facilitate testing in a clinic\, a real-life 3D device was custom-developed where individuals after stroke moved a cup with a rolling ball inside on a table. Our theory-based predictability metric proved highly sensitive to quantify the degree of motor impairment after stroke. Taken together\, this thesis elucidated principles of human motor control in a complex interactive task. The insights have significant applications in clinical testing and may also inform robot manipulation of this understudied movement challenge.
URL:https://ece.northeastern.edu/event/rashida-nayeems-phd-dissertation-defense/
LOCATION:206 Egan\, 360 Huntington Ave\, 206 Egan\, Boston\, MA\, 02115\, United States
GEO:42.3376753;-71.0888734
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230426T160000
DTEND;TZID=America/New_York:20230426T170000
DTSTAMP:20230426T174309Z
CREATED:20230426T174309Z
LAST-MODIFIED:20230426T174309Z
UID:6295-1682524800-1682528400@ece.northeastern.edu
SUMMARY:Rui Huang's MS Thesis Defense
DESCRIPTION:“Sputter Deposition and Characterization of Highly Textured BixTe1-x Thin Films” \nCommittee Members:\nProf. Nian-Xiang Sun (Advisor)\nProf. Marvin Onabajo\nProf. Yongmin Liu \nAbstract:\nThe discovery of topological insulators (TIs) provides a direction for scientists to understand the Quantum Spin Hall Effect (QSHE) and Spin-Orbit Coupling (SOP)  in condensed matter physics. After a decade\, people found that after the introduction of magnetism into TI\, the Time Reversal Symmetry (TSR) is broken\, producing Magnetic Topological Insulators (MTI). Meanwhile\, with the deposition of TI on the Magnetic Insulator (MI)\, the Spin-Orbit Torque was found in TI/MI structures. Introducing dopants into TI is another method to produce MTI. Mn-doped\,  Cr-doped\, and Ni-doped TI thin films have been explored recently. Thus\, the 3D TI\, Bi2Te3\, and MTI\, Ni: Bi2Te3\, thin film-based materials have been applied to some energy-efficient spintronic devices. However\, according to the Bi-Te phase diagram\, Bi2Te3 is one of the Bi-Te family. The narrow range of the Bi2Te3 phase is a challenge for people to deposit the correct phase on the InP (111) wafer due to the potential effect of defects.  In this Master thesis\, the textured BixTe1-x and Ni-doped BixTe1-x thin films are deposited on the InP (111) substrate through the RF Magnon Sputtering Tool with a Te capping layer under different deposition powers\, temperatures\, and post-annealing time. After the X-ray diffraction measurement on three samples with various conditions\, the textured Bi8Te7\, Bi8Te9\, and Ni: Bi8Te7 thin films are concluded based on the comparison between the theoretical XRD results with the experimental ones.
URL:https://ece.northeastern.edu/event/rui-huangs-ms-thesis-defense/
LOCATION:MA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230428T130000
DTEND;TZID=America/New_York:20230428T150000
DTSTAMP:20230426T174141Z
CREATED:20230426T174141Z
LAST-MODIFIED:20230426T174141Z
UID:6293-1682686800-1682694000@ece.northeastern.edu
SUMMARY:Balaji Sundareshan's MS Thesis Defense
DESCRIPTION:“Cross-View Action Recognition using Transformers” \nCommittee Members:\n1. Prof. Octavia Camps (Advisor)\n2. Prof. Mario Sznaier\n3. Prof. Huaizu Jiang \nAbstract:\nCross-view action recognition (CVAR) seeks to recognize a human action when observed from a previously unseen viewpoint. This is a challenging problem since the appearance of action changes significantly with the viewpoint. Applications of CVAR include surveillance and monitoring of assisted living facilities where is not practical or feasible to collect large amounts of training data when adding a new camera. In this thesis\, we propose a method to perform cross-view action recognition from 2D skeleton data using Transformers. First\, we understand the interpretability of the basline network and its submodules by visualizing the saliency map. Next\, we integrate Transformers at different parts of the network for both single-clip and multi-clip and understand the impact on the performance. In the end\, we also discuss the necessity of pretraining sub-modules in the network and their impact on the performance.
URL:https://ece.northeastern.edu/event/balaji-sundareshans-ms-thesis-defense/
LOCATION:MA
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