BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Northeastern University College of Engineering - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Northeastern University College of Engineering
X-ORIGINAL-URL:https://coe.northeastern.edu
X-WR-CALDESC:Events for Northeastern University College of Engineering
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220209T103000
DTEND;TZID=America/New_York:20220209T120000
DTSTAMP:20260419T042544
CREATED:20220209T163347Z
LAST-MODIFIED:20220209T163347Z
UID:30211-1644402600-1644408000@coe.northeastern.edu
SUMMARY:ECE Seminar: Qiushi Guo
DESCRIPTION:ECE Seminar: Emergent Active Photonic Platforms for Next-generation Mid-infrared and Ultrafast Photonics \nQiushi Guo \nLocation: 442 Dana or Zoom Link \nAbstract: As two basic properties of light\, wavelength and timescale are central to numerous photonic applications. Compared to visible and near-infrared\, the longer wavelength mid-infrared spectral regime contains unique thermal visual information and chemical fingerprints of the environment.  On a different front\, femtosecond light sources and systems can enable ultrafast information processing\, sensing\, and computing. Yet\, current chip-scale photonic devices and systems are facing tremendous challenges in detecting\, generating\, and processing light of long wavelength and ultrashort timescale. Overcoming these challenges requires new materials and clever device architectures\, and these technologies stand poised to revolutionize fields such as biomedical sensing\, free-space communication\, and photonic computing in both classical and quantum domains. \nIn this talk\, I will show that by engineering the carrier and nonlinear dynamics in emergent active photonic materials\, we can detect photons beyond the regimes accessible to conventional laser sources and detectors\, and process information in an ultrafast manner. In the first half of my talk\, I will first briefly introduce the discovery of black phosphorus (BP) mid-infrared photonics\, highlighting the world’s first BP mid-infrared detectors with high internal gain\, as well as BP’s electrically tunable spectral response due to its unique bandgap tunability. Then\, I will discuss a new strategy for detecting longer wavelength mid-infrared radiations at 12 µm. This is achieved by harnessing the intrinsic mid-infrared plasmons in large-scale graphene. \nThe second half of my talk will cover my recent work on integrated lithium niobate (LN) ultrafast photonics in both classical and quantum domains. I will discuss the realization of ultra-strong nonlinear optical interactions and dynamics in dispersion-engineered and quasi-phase-matched integrated LN devices\, which have enabled 100 dB/cm optical parametric amplification\, ultra-wide bandwidth quantum squeezing\, as well as femtosecond and femtojoule all-optical switching. Finally\, I will outline promising pathways toward realizing chip-scale ultrafast light sources and microsystems for on-chip spectroscopic sensing\, mid-infrared free-space communication\, coherent all-optical computing\, and next-generation thermal vision technologies. \nBio: Dr. Qiushi Guo is currently a postdoctoral scholar at the California Institute of Technology with Prof. Alireza Marandi. He received his Ph.D. in Electrical Engineering from Yale University in Dec. 2019\, advised by Prof. Fengnian Xia. He received his M.S. degree in Electrical Engineering from the University of Pennsylvania in 2014\, and his B.S. degree in Electrical Engineering from Xi’an Jiaotong University in 2012. Qiushi is the winner of the 2021 Henry Prentiss Becton Graduate Prize for his exceptional research achievements at Yale University. His research interests include integrated nonlinear and quantum photonics\, mid-infrared photonics\, and 2-D materials optoelectronics. He has published 36 peer-reviewed research papers in leading scientific journals with citations more than 2700 times. He is serving on the editorial board of the journal Micromachines.
URL:https://coe.northeastern.edu/event/ece-seminar-qiushi-guo/
LOCATION:442 Dana\, 360 Huntington Ave\, 442 DA\, Boston\, MA\, 02115\, United States
GEO:42.3387508;-71.0923044
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=442 Dana 360 Huntington Ave 442 DA Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave\, 442 DA:geo:-71.0923044,42.3387508
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220209T120000
DTEND;TZID=America/New_York:20220209T124500
DTSTAMP:20260419T042544
CREATED:20220131T210454Z
LAST-MODIFIED:20220131T210454Z
UID:30062-1644408000-1644410700@coe.northeastern.edu
SUMMARY:Library Webinar: Introduction to Citation Managers
DESCRIPTION:Start your spring 2022 research off on the right foot with Northeastern University Library’s series of online workshops and webinars! \nIn this webinar\, learn how to manage your references\, organize your research and quickly create citations and bibliographies using a citation management program. \nThe session will cover: an introduction to EndNote\, Refworks\, Mendeley and Zotero; similarities and differences between different citation management programs; how to choose the right citation manager for you; and how to install and use a citation manager. \nNote: it is recommended that you choose one citation manager to use\, as they are not meant to be used together. \nRegister here: bit.ly/citationmgmtworkshops \nAll times are in Eastern Time.
URL:https://coe.northeastern.edu/event/library-webinar-introduction-to-citation-managers/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220209T120000
DTEND;TZID=America/New_York:20220209T130000
DTSTAMP:20260419T042544
CREATED:20220201T180550Z
LAST-MODIFIED:20220201T180550Z
UID:30088-1644408000-1644411600@coe.northeastern.edu
SUMMARY:Spring 2022 Study Abroad Info Session
DESCRIPTION:This Study Abroad Info Session is designed to introduce you to the wonders of studying abroad. Listen to students talk of past experiences. Representatives from both COE Undergraduate Academic Advising and Global Experience Office will be on hand to provide the details you need for this exciting opportunity. This event will be on Wednesday\, Feb. 9th 2022 from 12:00-1:00pm in 458 RI.
URL:https://coe.northeastern.edu/event/spring-2022-study-abroad-info-session/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220209T120000
DTEND;TZID=America/New_York:20220209T130000
DTSTAMP:20260419T042544
CREATED:20220207T145452Z
LAST-MODIFIED:20220207T145452Z
UID:30180-1644408000-1644411600@coe.northeastern.edu
SUMMARY:Capture and Conversion of CO2 – Towards CO2 Recycling
DESCRIPTION:ChE Seminar Series Presents: \nJuliana Carnerio\, Ph.D \nPostdoctoral Research Fellow \nSchool of Chemical Engineering & Biomolecular Engineering\, Georgia Institute of Technology \nAbstract: \nOur current global fossil-based economy produces significant environmental\, economic\, and social challenges. Such complex challenges are the defining issues of our time\, pushing society toward stepwise decarbonization of our energy and consumption economy. Ideally\, the aim is a more just and reliable economy\, with minimal social and environmental burdens and the redistribution of economic and environmental benefits. To this end\, a circular carbon economy – which integrates energy\, chemical\, and waste management sectors – offers an opportunity to rethink our linear model. With the CO2 recycling system playing a central role in this proposed model\, the scientific community responds with efforts in R&D to create a suite of CO2 mining and utilization technologies. \nIn the first part of my talk\, I will tackle the electrochemical conversion of CO2 at an elevated temperature regime\, using Reversible Solid Oxide Electrochemical Cells (RSOECs). The optimization of the performance of the oxygen and fuel electrodes in these cells has been hindered by the limited understanding of the factors that govern the O2 and CO2 chemistries. As such\, I will discuss our efforts toward developing design principles for the identification of optimal electrocatalysts for these electrode reactions. We used a combination of theoretical calculations\, controlled synthesis\, advanced characterization\, and testing to show that the binding energy of atomic oxygen can be used as an activity descriptor for these processes. It was found that a compromise in the oxophilicity of the electrocatalyst was required to achieve optimal activity and stability. Our theory-guided design principles successfully identified: (i) Cobalt-doped La2NiO4 as a highly active material for O2 electrocatalysis\, and (ii) Fe\, the most oxophilic metal tested\, as a highly active metal for CO2 electrochemical reduction. However\, Fe exhibited unstable electrochemical behaviors induced by the oxidation of the metal under electrochemical CO2 reduction conditions in SOECs. This phenomenon ratifies the importance of the strength of oxygen binding on the electrocatalyst surface as a descriptor of activity and stability for CO2 electrolysis in SOECs. \nIn the second part of my talk\, I will highlight our work on adsorptive materials for the direct air capture (DAC) of atmospheric CO2. We explore the role of atmospheric humidity as an essential stability parameter for DAC processes employing solid amine adsorbents. We demonstrate this by using prototypical class 1 aminopolymer-type solid sorbents that allow for flexibility in the support use. Sorbent deactivation was investigated by means of several complementary factors\, including (i) the relative loss in amine efficiency determined via time-course CO2 sorption\, (ii) elemental analysis\, and (iii) in situ IR spectroscopy to obtain an understanding of the role of water on the sorbent degradation process. Our findings provide important insights into the relevant parameters that impact the effective design of DAC sorbents and processes for different climatic environments\, allowing tailoring of sorbent formulations to overcome the challenges associated with highly varied conditions in which a DAC process must operate. \nBio: \nDr. Juliana Carneiro is a postdoctoral research fellow in the School of Chemical Engineering & Biomolecular Engineering at the Georgia Institute of Technology with Professor Christopher W Jones. She received her Ph.D. in Chemical Engineering from Wayne State University in 2019 under the supervision of Prof. Eranda Nikolla. Her research interests lie in developing active\, selective\, and stable electrocatalysis for electrochemical conversion and separation processes\, including the electrochemical recycling/upcycling of post-consumer plastics\, the capture and storage of CO2 from oceans\, and the capture and conversion of atmospheric CO2. She is the recipient of several awards\, including\, but not limited to the 2017-2018 Ralph H. Kummler Award for Distinguished Achievement in Graduate Student Research\, 2018 Women’s Initiatives Committee’s (WIC) AIChE Travel Award\, and the prestigious Student Presentation Awards at the (i) Gordon Research Conference on Catalysis\, (ii) the Michigan Catalysis Society.
URL:https://coe.northeastern.edu/event/capture-and-conversion-of-co2-towards-co2-recycling/
LOCATION:024 East Village\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
GEO:42.3396156;-71.0886534
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=024 East Village 360 Huntington Ave Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave:geo:-71.0886534,42.3396156
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220209T120000
DTEND;TZID=America/New_York:20220209T130000
DTSTAMP:20260419T042544
CREATED:20220207T191833Z
LAST-MODIFIED:20220207T191833Z
UID:30192-1644408000-1644411600@coe.northeastern.edu
SUMMARY:ECE Seminar: Derya Aksaray
DESCRIPTION:ECE Seminar: Reinforcement Learning for Dynamical Systems with Temporal Logic Specifications \nDerya Aksaray \nLocation: 442 Dana or Zoom Link \nAbstract: In many applications\, dynamical systems such as drones\, mobile robots\, or autonomous cars need to achieve complex specifications on their trajectories which may include spatial (e.g.\, regions of interest)\, temporal (e.g.\, time bounds)\, and logical (e.g.\, priority\, preconditions\, concurrency among tasks) requirements. As these specifications become more complex\, encoding them via algebraic equations become intractable. Alternatively\, such specifications can be compactly expressed and used in control synthesis by utilizing the framework of temporal logics. In this talk\, I will address the problem of learning optimal control policies for satisfying temporal logic (TL) specifications in the face of uncertainty. Standard reinforcement learning (RL) algorithms\, which aim to maximize the expected sum of discounted rewards\, are not directly applicable when the objective is to satisfy a TL specification. To overcome this limitation\, I will formulate an approximate problem that can be solved via reinforcement learning and present the suboptimality bound of the proposed solution. Then\, I will consider the case where a TL specification is given as the constraint rather than the objective and present a novel approach for satisfying the TL constraint with a desired probability throughout the learning process. I will motivate this part by multi-use of autonomous systems\, e.g.\, a drone executing a pick-up and delivery mission as its primary task (constraint) while learning to fly over regions of interest (aerial monitoring) as its secondary task (objective). Finally\, I will conclude my talk by discussing some future directions toward the resilience and safety of autonomous systems with complex specifications. \nBio: Derya Aksaray is currently an Assistant Professor in the Department of Aerospace Engineering and Mechanics at the University of Minnesota (UMN). Before joining UMN\, she held post-doctoral researcher positions at the Massachusetts Institute of Technology from 2016-2017 and at Boston University from 2014-2016. She received her Ph.D. degree in Aerospace Engineering from the Georgia Institute of Technology in 2014. Her research interests lie primarily in the areas of control theory\, formal methods\, and machine learning with applications to autonomous systems and aerial robotics.
URL:https://coe.northeastern.edu/event/ece-seminar-derya-aksaray/
LOCATION:442 Dana\, 360 Huntington Ave\, 442 DA\, Boston\, MA\, 02115\, United States
GEO:42.3387508;-71.0923044
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=442 Dana 360 Huntington Ave 442 DA Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave\, 442 DA:geo:-71.0923044,42.3387508
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220209T150000
DTEND;TZID=America/New_York:20220209T160000
DTSTAMP:20260419T042544
CREATED:20220201T181455Z
LAST-MODIFIED:20220201T181455Z
UID:30091-1644418800-1644422400@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Mengting Yan
DESCRIPTION:PhD Proposal Review: Circuit Design Methods for Temperature-based Hardware Trojan Detection and Parametric Frequency Division in Next-Generation Systems-on-a-Chip \nMengting Yan \nLocation: Zoom Link \nAbstract: With the increasing costs and globalization in the semiconductor industry over the past years\, the ongoing trends to disperse integrated circuit (IC) design\, fabrication and testing tasks among different design centers and manufacturers are becoming more common and inevitable. As a soaring number of ICs are fabricated around the world\, the increasing risks associated with hardware Trojan (HT) insertions have been identified as a growing concern in military systems\, medical applications\, wireless cryptography\, etc. This research introduces an integrated system-level on-chip countermeasure to malicious HT insertions\, which is founded on power sensing and integrated circuit design. The approach addresses the corresponding design considerations of analog temperature sensors\, on-chip quantization of signals and machine learning-based data analysis.\nAn on-chip temperature-based HT detection system is proposed in the first part of this dissertation research. The approach to detect inserted HTs relies on thermal profiling of the circuit-under-test (CUT) and side-channel analysis of the obtained thermal data. Hence\, a system that includes the CUT\, modeled HT\, temperature sensing circuitry and an on-chip ADC will be implemented and evaluated through simulations and measurements. On-chip electro-thermal coupling is modeled as part of the simulation technique\, which associates local thermal activities with circuit-level power consumption using a standard electrical simulator. To monitor the thermal profiles on chips with high sensitivity to local temperature changes and the resilience to flicker noise\, a fully-differential temperature sensor equipped with a chopping mechanism has been designed in 130-nm CMOS technology\, which has a sensitivity of 840 V/°C over a linear dynamic range of ±1°C. The simulated temperature sensor output in the presence of noise and process variations is quantized by an ideal ADC model and processed using principal component analysis (PCA)\, which allows to determine the minimum detectable Trojan power and the design requirements for the on-chip ADC. With a modeled 8-bit ideal ADC\, the proposed HT detection system shows a detection rate of 100% with a Trojan power down to 2.4 µW within the thermal profile of a CUT consuming 508 µW. A prototype 8-bit 1 MS/s SAR ADC was designed in 130-nm CMOS technology\, fabricated\, and tested. The measured effective number of bits (ENOB) is 7.27 bits up to the Nyquist frequency with a power consumption of 103.2 µW from a 1.2 V supply.\nAnother part of this dissertation research addresses the need for low-power 2:1 frequency division at sub-6 GHz frequencies for radio frequency (RF) systems-on-a-chip (SoCs). In particular\, a differential 2:1 parametric frequency divider (PFD) with an output frequency of 2.4 GHz and an input voltage range of 450-890 mV at 4.8 GHz is being designed in 65-nm CMOS technology\, which mainly consists of passive on-chip components and consumes zero static power. The proposed PFD is the first on-chip CMOS implementation for sub-6 GHz applications\, which balances the trade-offs among frequency range\, power consumption\, and chip area constraints. As an important part of this dissertation\, the performance of the proposed PFD will be validated with measurements of a prototype chip fabricated in standard 65-nm CMOS technology.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-mengting-yan/
END:VEVENT
END:VCALENDAR