Northeastern University College of Engineering

FPP Postgraduate Virtual Fair - SEA and South Asia
2022-03-10 04:00 - 08:00 (America/New_York)
Representatives from Northeastern University Graduate School of Engineering will be participating in this event.

BMI Central America and Caribbean Connect Live - LATAM
2022-03-08 16:00 - 19:30

Women Who Empower Africa
2022-03-08 10:00 - 11:00
On the occasion of International Women’s Day, Northeastern’s Africa Global Initiative and the Center for Emerging Markets invite you to attend the next chapter in the Africa Speaker Series: Women Who Empower Africa
A continent of over one billion people, thousands of languages, dozens of countries, and a median age of 19.5, Africa is full of opportunities. Africa’s potential as a growth market for business remains underestimated—as does the potential for business to play a transformative role in solving the continent’s biggest challenges.
Rania Belkahia co-founded and led Afrimarket, an e-commerce platform for French-speaking West Africa. She scaled the company to more than 250 employees, five subsidiaries, and €20 million raised in funding.
Join Young Global Leader Bassel Jounblat to hear from Rania Belkahia about her entrepreneurial journey on the continent and the next chapter in her engagement with Africa.
Interact with Rania Belkahia, Partner, EQT Ventures, Bassel Jounblat, DMSB’17, and Young Global Leader of Northeastern University
• • •

This event is complimentary but registration is required.
All registrants will receive an email with information on accessing this virtual event.

Register Now

Round table discussion - COVID & Disabilities
2022-03-04 15:00 - 16:00
Join ALLIED project’s round table discussion on COVID & disabilities.
Zoom – https://northeastern.zoom.us/j/95320296228

MathWorks Week: AI for Humans
2022-03-04 11:00 - 12:00
Join MathWorks engineers and Northeastern faculty for these insightful seminars in Climate Change, Quantum Computing, and AI.

AI for Humans
Friday, March 4, 11 am – 12 pm
Register: MathWorksNUSymposiumAI.eventbrite.com
Fundamentals of AI
Neha Sardesai, MathWorks
How to apply machine learning and deep learning to images and signals. You’ll see how MATLAB® provides an environment to apply advanced techniques without requiring coding or experience in machine learning and deep learning.
Invariant Representation Learning for Human Pose Estimation withSmall Data
Sarah Ostadabbas, Professor, Dept. of Electrical and Computer Engineering
Descriptions of the state-of-the-art representation learning algorithms for visual perception tasks in the contexts of human pose estimation, especially when we are facing problems where data collection or labeling is expensive (i.e. Small Data domains).
Machine learning for retina image analysis for Retinopathy ofPrematurity (ROP) severity assessment.
Deniz Erdogmus, Professor, Dept. of Electrical and Computer Engineering
Discussion of the use of active learning, deep learning, and Siamese neural networks to develop deep neural network models for automated retina image analysis to diagnose and assess the severity of retinopathy of prematurity in babies born prematurely.

COE Galante Program Intro to Blockchain & Applications
2022-03-03 18:30 - 19:30 | 440 Egan, 360 Huntington Ave, Boston, MA, 02115, United States
Please join the Galante Engineering Business Program in welcoming Northeastern students and BlockBeam co-founders Bennett Thompson and Drew Cousin for a presentation in which they will teach the basics of Blockchain Technology with different applications among different industries. They will also present on BlockBeam, who’s mission is to develop immersive experiences that make candidates standout and prepare them for their launch into blockchain/fintech careers, while partnering with leading organizations to create a two-sided model of Web3 technology education and experience-based career advancement. The two will also share opportunities to join BlockBeam and get involved in an immersive summer program with applied learning and networking with professionals across the industry. To attend the event we ask that you submit the RSVP at the link here and we will follow with a calendar invite.
Bennett Thompson (LinkedIn) is a 2nd year Undergraduate at Northeastern studying Data Science and FinTech. Bennett is the co-founder of the NEU Blockchain Club and BlockBeam. He serves as Co-Founder & Co-VP at NEU Blockchain Organization, and has been named to BostInno 25 Under 25.
Drew Cousin (LinkedIn) is a 4th year Undergraduate at Northeastern studying Finance and FinTech. Drew is the co-founder of BlockBeam and on the Boston Blockchain Association Board.

MathWorks Week: Chemistry, Deep Learning and Quantum Computing
2022-03-03 15:00 - 16:00
Join MathWorks engineers and Northeastern faculty for these insightful seminars in Climate Change, Quantum Computing, and AI.

Chemistry, Deep Learning and Quantum Computing
Thursday, March 3, 3 pm – 4 pm
Register: MathWorksNUSymposiumQuantumComputing.eventbrite.com
Graph Neural Networks for Chemistry Using MATLAB
Hossein Jooya, MathWorks
MATLAB’s new features in handling chemical structures, from small organic molecules to proteins will be demonstrated. Graph-convolutional (GC) and graph-attention (GA) networks are explained with various examples from toxicity prediction to molecular optimization. Attendees will have access to the shared code modules and can adapt them for their own research with hand-in-hand support from MathWorks technical team.
Photonic Quantum Technologies
Sunil Mittal, Professor, Dept. of Electrical and Computer Engineering
This talk will discuss the generation, manipulation, and measurements of quantum states of light, such as entangled photons, for applications in photonic quantum computation, quantum communications, and sensing.
Do You Trust Your Quantum Computers with Correct Answers?
Devesh Tiwari, Professor, Dept. of Electrical and Computer Engineering
Noisy Intermediate-Scale Quantum (NISQ) machines are increasingly being used to develop quantum algorithms and establish use cases for quantum computing. These devices, however, are highly error-prone and produce output which can be far from the correct output of the quantum algorithm. This talk will discuss some promising approaches towards estimating the correct program output on erroneous quantum devices.

COE PhD Expo
2022-03-03 14:00 - 16:30 | Raytheon Amphitheater (240 Egan), 360 Huntington Ave, 240 Egan, Boston, MA, 02115, United States
The College of Engineering is excited to announce the fourth annual COE PhD Research Expo, and we invite all COE PhD students to submit a poster abstract. This is a wonderful opportunity to highlight your research and meet alumni, academic, and industry leaders.
The expo will take place during COE’s Graduate Candidate Day, where PhD candidates could learn first-hand about the exciting research our PhD students are conducting.
***We are closely monitoring COVID-related updates and abiding by the University policies to ensure safe attendance of the event. Should the expo be conducted virtually, we will send out follow-up communications about the updated logistics of the event.
Submit an Abstract. Deadline: January 24, 2022
In consultation with your research advisor, submit a poster abstract. We welcome posters that have been presented elsewhere.
Abstract word limit is 200 words. Authors accepted to participate will be notified by Feb. 2nd of their selection.
Prepare with a Workshop In addition, the COE Communications Lab will host workshops on the following dates:
Abstract – Thursday, January 20 at 5pm

Join with Zoom Link

Data Visualization – Thursday, January 27 at 5pm

Join with Zoom Link

Poster preparation – Thursday, February 3 at 5pm

Join with Zoom Link

Elevator Pitch/ Presentation – Thursday, February 24 at 5pm

Join with Zoom Link

We are excited to offer this opportunity to showcase the research of our PhD students and to provide a platform for you to gain valuable experience and network with academic and industry leaders.

Development of micro-magnets for bio-medical applications
2022-03-02 12:00 - 13:00
ChE Seminar Series Presents:
Nora M. Dempsey
Univ. Grenoble Alpes, CNRS, Grenoble INP, Institut NEEL, 38000 Grenoble, France
Abstract:
Magnetic flux sources are used to manipulate biological entities (cells, embryos, DNA, proteins…). The magnetic field gradients produced by a flux source scales up as its size is decreased, resulting in increased force per unit volume. Hard magnetic flux sources are particularly interesting for compact and / or portable applications while the force produced by soft magnetic flux sources on a target object are easily varied. There is thus great potential for using both hard and soft micro-magnets as flux sources in biology and medicine.
In this talk I will briefly review our work on the development and micro-patterning of magnetic films, in particular Rare Earth – Transition Metal hard magnetic films, and the low-cost fabrication of micro-magnet arrays based on powder-polymer composites. I will then give examples of bio-medical applications of the micro-magnets we have developed. To wrap up I will discuss potential uses of high intensity pulsed magnetic field sources in bio-medical applications.
Biography:
Nora Dempsey received her PhD from Trinity College Dublin, Ireland, in 1998. Since then she has been based at Institut Néel, CNRS Grenoble in France. She works on functional magnetic materials, with an emphasis on hard magnetic materials in film form. These films are used as model systems to guide the development of bulk magnets, and also to develop micro-magnets for applications in biology, medicine, telecommunications and energy management.
Please contact a.ramsey@northeastern.edu for the remote seminar link.

Library Webinar: 10 Advanced EndNote Features
2022-03-01 12:00 - 12:45
Are you ready for advanced features in EndNote, or are you curious about features you are not currently using? Do you need to use advanced features for a systematic review or literature review? If so, this online workshop is for you! We will briefly cover each of the following:

Creating Smart Groups

Importing/accessing Full Text & PDFs in EndNote

EndNote Export Shortcut (RIS export)

Sharing Libraries

Editing References in Word

Annotating PDFs

Manuscript Matching

Using Drag-and-Drop to Create an Instant Bibliography

Backing up Your EndNote Libraries and EndNote Files
How to Organize your References for a Systematic Review

These are features generally not covered in the “Getting Started with EndNote” workshops offered in the fall and spring semesters.
Please note: This webinar will be recorded. To receive a copy of the recording, please register using your Northeastern email address below. All the times of the webinars are in EST.
Register here: bit.ly/citationmgmtworkshops

MathWorks Week: Climate, Energy and the Built Environment
2022-03-01 10:30 - 11:30
Join MathWorks engineers and Northeastern faculty for these insightful seminars in Climate Change, Quantum Computing, and AI.

Climate, Energy and the Built Environment
Tuesday, March 1, 10:30 am – 11:30 am
Register: MathWorksNUSymposiumClimate.eventbrite.com
Insights of climate changes from the Common Era: an Artificial Intelligence view
Jianghao Wang, MathWorks
The rapid global warming seen in observations over the past 150 years shows nearly global coherence, the spatiotemporal coherence of climate epochs earlier in the Common Era (the past 2,000 years), however, has yet to be robustly tested. Understanding how the climate system works and how historical temperature changes shed light on the study of anthropogenic climate change.
Modeling the Stochastic Dynamics of Rotating Wind Turbine Blades
Luca Caracoglia, Professor, Dept. of Civil and Environmental Engineering
This presentation describes the results of recent research activities, examining the dynamic modeling of wind turbine blades under the influence of various sources of input error and noise. The presentation will focus on the flutter phenomenon. Flutter is a flow-induced dynamic instability that results from the coupling between flap-wise bending mode and torsional mode of the rotating blade.
Locating Damage in Structural Systems
Dennis Bernal, Professor, Dept. of Civil and Environmental Engineering
This presentation outlines the basic ideas behind some techniques used to localize damage applicable in cases where the structure is large, and the number of sensors is small. Visual inspection has been the traditional procedure used to check the condition of structural systems but there is significant interest in devising ways to replace or enhance this approach by incorporating information from sensors.

Claiming disability as an Identity
2022-02-25 15:00 - 16:00
Join Ariel Lesnick, Director of student accessibility services and academic support, Wentworth Institute of Technology to know about claiming disability as an Identity. An event by the ALLIED project.
Zoom link : https://northeastern.zoom.us/j/95320296228

Library Webinar: Getting Started with BibTeX
2022-02-25 12:00 - 12:45
Learn how to use BibTeX to increase your efficiency. BibTeX helps you create bibliographies and in-text citations within a LaTeX system. BibTeX and LaTeX are often used together for preparing high quality documents for publication in STEM fields, because they accommodate symbols and formulas well.
This session will cover:

How to create a BibTeX file
How to add references to your BibTeX list
How to add BibTeX citations to your LaTeX document

The session will use Overleaf, an online cloud-based LaTeX editor. Alternatively, participants may bring and follow along with their preferred LaTeX editor. A basic understanding of LaTeX is helpful. Read more here
All webinars will be recorded. To receive a recording, please register using your Northeastern email address below.
Register here: bit.ly/citationmgmtworkshops
All the times of the webinars are in EST.

Graduate School of Engineering Admissions Information Session
2022-02-25 09:00 - 10:00
Bold, interdisciplinary, and experiential with a focus on innovating for society. Northeastern University’s Graduate School of Engineering encompasses top-ranked, highly selective, R1 research programs that combine rigorous academics with experiential learning and convergent research to prepare the next generation of engineering leaders to address the complex challenges of global society. Kelly Egorova, Director for Graduate Admissions, will discuss the parameters for success as you begin your application process. She will provide an overview of the 6 departments, Co-op with the College’s 800 industry partners, and opportunities for engagement with the graduate student ambassadors.
Register Now

A Black “Her”story – Panel Discussion
2022-02-24 19:00 - 20:30
The College of Engineering hosts A Black “Her”story (Herstory) Month event, featuring a panel discussion of Black women who have had a direct impact on the presence of the Black engineering and science community here at Northeastern, through their lived experience, as part of their overall life journey.
Panelists include:

Michele Lezama – CEO and President, NACME

Former Executive Director/President of:

National GEM Consortium
National Society of Black Engineers
Black Engineering Student Society – President

Cassandra McKenzie – Executive VP – MassDevelopment

Northeastern University Capital Projects – Facilities
Parsons Brinchkerhoff Quade & Douglas
Black Engineering Student Society – Exec. Board Member

Logan Jackson – Sustainability Consultant, ENGIE Impact

Anzu Partners
Northeastern University 1st Rhodes Scholar
Black Engineering Student Society – President

Dr. Camille Martin – President/Co-Founder, Seaspire Skincare

New York Society of Cosmetic Chemists Members
Project Lead NSF I-Corp

You must REGISTER to receive an email with information on accessing this virtual event.
Please reach out to Richard Harris, Associate Dean for Diversity, Equity and Inclusion; ri.harris@northeastern.edu for additional information.

Galante x Amazon Robotics Career Info Session
2022-02-24 18:30 - 19:30 | 440 Egan, 360 Huntington Ave, Boston, MA, 02115, United States
Please join the Galante Engineering Business Program in welcoming Northeastern and Galante alumni Andrea Dorta, Technical Program Manager at Amazon Robotics, along with colleagues and Northeastern alumni Kyle Auger, Technical Product Manager, and Jake Holstein, Sr. Technical Program Manager for an event during which they will provide an overview of Amazon Robotics and management opportunities for FT and Fall 2022 co-ops, serving as an excellent chance to network and discuss professional development opportunities. There will also be a raffle for Amazon Robotics prizes and gear.
Andrea Dorta (LinkedIn) is a Technical Program Manager at Amazon Robotics working cross-functionally supporting the launch of state of the art robotics warehouses. Andrea graduated in May 2020 with a Bachelors in Industrial Engineering, Masters in Engineering Management and a Galante Certificate in Engineering Business. Throughout her 5 years at Northeastern, Andrea was the VP of Operations of the IISE NEU chapter, Leadership Development Manager at the International Hispanic Student Club, and College of Engineering Peer Mentor and Tutor. She completed 3 co-ops, two of them in the Boston area (Bose and Amazon Robotics) and one in Munich, Germany as a Prestigious International Scholar. After graduation, Andrea joined Amazon Robotics as a Technical Program Manager where she has planned and executed large-scale cross functional projects in the US, European Union and Japan.
Kyle Auger (LinkedIn) is a Technical Product Manager II at Amazon Robotics working in Software’s Robotic Navigation team. Kyle is an alumni of D’Amore-McKim School of Business and graduated in 2018 with a degree in Finance and a minor in Economics. He participated in NEU’s summer program at London School of Economics and completed three co-ops in his four and half years, one in real estate and two at Amazon. After graduation, Kyle was hired as a Business Analyst and has worked at Amazon for 4+ years in various roles across the Robotics organization, including supply chain, industrial engineering, and software.
Jake Holstein (LinkedIn) is a Senior Technical Program Manager at Amazon Robotics working cross functionally to improve the robotic product development process. Jake graduated with a Mechanical Engineering degree from Northeastern in 2016 with minors in business and math. While at Northeastern, he was a founder and president of Enabling Engineering working to improve the day-to-day lives of people with disabilities. After graduation, Jake joined Amazon Robotics on their deployment team installing robotics worldwide, transitioned to process engineering in 2018, and to program management in 2020.

Crafting an Elevator Pitch-A CommLab Virtual Workshop
2022-02-24 17:00 - 18:00
Useful during any stage of your research career, the elevator pitch is an integral part of your research dissemination toolbox. We will discuss the essential components of the elevator pitch, and help you build the content and practice your pitch for a variety of situations. Register Now.

CILS Seminar: Photoacoustics from VisualSonics
2022-02-24 12:00 - 13:30
Join this seminar to learn about the capabilities of photoacoustics in research ranging from oncology and molecular biology to cardiology and neurobiology.
The presentation from VisualSonics will be followed by a student presentation from Kevin Bardon in the Clark Lab, focusing on where his research will go with this technology. Visit Vevo LAZR-X for more details about the instrument.

ECE PhD Proposal Review: Miead Tehrani-Moayyed
2022-02-23 17:30 - 18:30 | 432 ISEC, 360 Huntington Ave, Boston, MA, 02115, United States
PhD Proposal Review: RF Channel Models for Static and Mobile Scenarios: From Simulations to Models for Large-scale Emulations
Miead Tehrani-Moayyed
Location: ISEC 432
Abstract: The extremely high data rates provided by communications at higher frequency bands, e.g., millimeter waves (mmWave), can help address the unprecedented demands of next-generation wireless networks. However, as several impairments limit wireless coverage at higher frequencies, accurate models of wireless scenarios and testing at scale are needed to show actual potential and to realize the promises that the new wireless technologies can bring forth. Large-scale accurate simulations and wireless networks emulators are now a time and cost-effective solution to perform these tests in a lab before deployment in the field. This dissertation work focuses on modeling, calibration, and validation of realistic RF scenarios for wireless network emulation at scale.
The contributions of our work include (i) investigating the characteristic of the wireless channel at higher frequencies (mmWave) and the performance evaluation of mmWave communications on top of the recently released NR standard for 5G cellular networks, and (ii) a framework to create RF scenarios for emulators like emph{Colosseum} starting from rich forms of input, like those obtained by ray-tracers or via real-field measurements.
(i) We derive channel propagation models via ray-tracing simulations for mmWave transmissions with applications to vehicle-to-everything (V2X) communications. We analyze aspects related to blockage modeling, the effects of antenna beamwidth, beam alignment, and multipath fading in urban scenarios and emphasize the importance of capturing diffuse scattered rays for improved large-scale and small-scale radio channel propagation models. Furthermore, we compare the performance of mmWave 5G NR with the 4G long-term evolution (LTE) standard on a realistic environment and show the impact of MIMO technology to improve the performance of 5G NR cellular networks. As transmitted radio signals are received as clusters of multipath rays, identifying these clusters provides better spatial and temporal characteristics of the channel. We deal with the clustering process and its validation across a wide range of frequencies in the mmWave spectrum below 100 GHz. We analyze how the clustering solution changes with narrower-beam antennas, and we provide a comparison of the cluster characteristics for different types of antennas.
(ii) Our framework to model wireless scenarios for large-scale emulators optimally scales down the large set of RF data in input to the fewer parameters allowed by the emulator by using efficient clustering techniques and channel impulse response re-sampling. We demonstrate the effectiveness of the proposed framework through modeling realistic scenarios for Colosseum starting from the rich input from a commercial-grade ray-tracing software: Wireless Insite by Remcom. We propose to finish our investigation (a)~by introducing ways of dealing with mobility in emulated scenarios, and to perform adequate channel sounding to validate them, and (b)~by indicating ways to provide input to the emulator through actual wireless measurements in the field. Particularly, as campaigns in the field provide measurements for a sparse set of locations, we plan to use deep learning techniques to “interpolate” channel parameters for a larger set of locations, determining the trade-offs for achieving desired accuracy and reasonable computational requirements.

ECE PhD Proposal Review: Md Navid Akbar
2022-02-23 13:00 - 14:00
PhD Proposal Review: Variational and Siamese Models in Functional and Structural Medical Image Analysis
Md Navid Akbar
Location: Zoom Link
Abstract: Machine learning (ML) models have recently shown great promise in medical image analysis. Instead of a one-size-fits-all, a customized model is generally needed to map a target outcome from an imaging modality. To this end, this proposal presents three such supervised models developed for three different imaging modalities.
In the first, a deep convolutional neural network (CNN) maps 3D cortical motor representation, obtained by transcranial magnetic stimulation (TMS), to the corresponding motor evoked potentials captured by surface electromyography (EMG). This modeling is bi-directional: with trivial changes, it can operate in both the forward and inverse directions. TMS as a functional imaging technique is still in its infancy, but its potential application in presurgical planning necessitates a reliable data-driven model. Our variational autoencoder inspired CNN is a pioneering step in that direction: with a normalized root mean square error up to below 14%, and an R-squared similarity up to above 87%, for cortical representation reconstruction in the inverse path. As the next steps, we plan to investigate other training strategies and collect additional data to assess robustness.
In the second, a Siamese CNN (with a pretrained DenseNet121 backbone) is developed to predict the continuous spectrum of pulmonary edema severity, from frontal chest X-rays. While existing deep learning frameworks have been promising in detecting the presence or absence of such edema, or even its discrete grades of severity, prediction of the continuous-valued severity remains a challenge. Using lower resolution images and only 1/51-th the size of training data compared to the state-of-the-art, our work beats it by achieving a mean area under the receiver operating characteristic curve (AUC) score of 91% (improvement by 4%), when tested on the open-source MIMIC-CXR database.
Finally, a complete preprocessing and ML classification pipeline is developed for identifying which traumatic brain injury (TBI) patients will go on to develop late seizures, from diffusion-weighted MRI (dMRI). Physical deformations following moderate-severe TBI present problems for standard processing of dMRI, complicating the extraction of neuroimaging features. Following the novel application of a normalization technique to dMRI, in conjunction with univariate feature selection and a linear discriminant analysis classifier, our model improves the performance over the standard pipeline by 8% in mean accuracy and 7% in mean AUC. In future work, we would like to explore classification using a fusion of dMRI with electroencephalogram (EEG) and functional MRI (fMRI) modalities.

Accelerating Research Along the Path to Commercialization
2022-02-23 12:00 - 13:00 | 024 East Village, 360 Huntington Ave, Boston, MA, 02115, United States
There are a variety of steps required to transition technologies from the research lab to the marketplace. Each step comes with its own set of questions and challenges. How do you protect your innovation and when is the right time? What is the right path to market? What are the obstacles to get there? What resources are available for researchers and entrepreneurs?
Representatives from Northeastern’s Center for Research Innovation (CRI) will help to answer these questions. The CRI is focused on accelerating the advancement of Northeastern research from lab to market, maximizing its impact, for the benefit of society.
Their talk will be followed by a Q&A session, providing ample opportunity for researchers to raise any questions and discuss issues related to intellectual property, technology commercialization, and entrepreneurship.
Speakers:
Mark Saulich
As Associate Director of Commercialization, Mark and his team are focused on the commercialization of Northeastern research. Industry engagement is at the core of their efforts, identifying opportunities to solve real world challenges by leveraging Northeastern innovations. Prior to joining the CRI team, Mark spent several years working at yet2, a global open innovation consulting company, leading technology scouting projects for several Fortune 1000 companies.
Katie Hemphill
As Director of Technology Ventures and Talent Network, Katie leads the development of a pipeline that encourages the discovery, formation, launch and growth of new ventures. In addition to managing the various venture programs at CRI, she continues to cultivate a team of executive talent who mentor and support spinouts as they launch and scale. Prior to joining CRI, Katie served as Associate Director of the McCarthy(s) Venture Mentoring Network (VMN) at Northeastern’s Center for Entrepreneurship Education at D’Amore-McKim School of Business. The VMN is a global network of volunteer mentors who give time and talent to early-stage startups based on timely business challenges.

Library Webinar: Getting Started with Zotero
2022-02-23 12:00 - 12:45
Learn how to use Zotero to increase your efficiency. Zotero is a free, open-source tool that lets you quickly create bibliographies and in-text citations in your chosen reference style. This online session will cover: how to install Zotero, how to export references from a database to Zotero, how to create groups to organize your research information, how to create an online account, and how to use Zotero with Microsoft Word.
NOTE: EndNote, RefWorks, Zotero, and Mendeley are similar, so you only need to choose one.
This webinar will be recorded. To receive a copy of the recording, please register using your Northeastern email address below.
Register here: bit.ly/citationmgmtworkshops
All the times of the webinars are in EST.

Library Webinar: Getting Started with RefWorks
2022-02-22 12:00 - 12:45
Are you tired of losing track of your research sources? Need help adding citations to your research papers? Attend this webinar to learn how to get started with RefWorks, an online citation management program that will allow you to collect and organize references and help you cite them in your papers. This session will cover:

how to create a RefWorks account
how to add references to your RefWorks library
how to organize and edit your library of references
how to add RefWorks citations to Word documents

NOTE: EndNote, RefWorks, Zotero, and Mendeley are similar, so you only need to choose one.
This webinar will be recorded. To receive a copy of the recording, please register using your Northeastern email address below.
All the times of the webinars are in EST.
Register here: bit.ly/citationmgmtworkshops

Graduate Student Ambassador Drop-In Series: Welcome to Northeastern!
2022-02-18 16:00 - 17:00
Come join us live for a virtual ‘Welcome to Northeastern!’ panel with current College of Engineering Masters students on Friday, February 18th from 4:00 PM to 5:00 PM EST.
This event is designed for newly admitted students and will offer tips, tricks and resources that we hope you will find useful as you settle into your first semester. The audience will have an opportunity to ask questions about Northeastern University throughout the session as well. See you there!

Science on Tap Presents Professor Heather Clark of Bioengineering, Chemistry & Chemical Biology
2022-02-18 15:30 - 16:30 | Raytheon Amphitheater (240 Egan), 360 Huntington Ave, 240 Egan, Boston, MA, 02115, United States
Hosted by the COE PhD Council – Science on Tap is back with our first speaker of 2022 being Professor Heather Clark of Bioengineering, Chemistry & Chemical Biology (and Director of CILS). There will be pizza, salad, beer & cider (as well as assorted seltzers and other non-alcoholic options). Not to mention the most important part, the science talk : LIGHTING UP THE CHEMISTRY OF THE BODY!
Location: Egan Raytheon Amphitheater (room 240)
Doors open at 3PM and will close at max capacity.
Open to all faculty, staff, and PhD students! Come join us, learn about science, and learn what else is happening across COE !
For more information, please contact Jason Hoffman-Bice (bice.j@northeastern.edu)

Disability resource center (DRC) - our role in student success
2022-02-18 15:00 - 16:00
Join Mary Barrows, Senior director of learning strategies and student success at NEU to know about the role of DRC in student success. An event by the ALLIED project.
Zoom link : https://northeastern.zoom.us/j/95320296228

Accelerating Career Paths: Focusing on the Gaps
2022-02-17 18:30 - 19:30 | Raytheon Amphitheater (240 Egan), 360 Huntington Ave, 240 Egan, Boston, MA, 02115, United States
Please join the Galante Engineering Business Program in welcoming Ashley Kelleher (LinkedIn) for a presentation reviewing a framework for career growth based on skills instead of roles. Ashley will discuss stepping away from career thinking in terms of the next role, the career ladder, or a dream job, and instead how to best implement methods of identifying critical skills for success, pinpointing skill gaps, and creating paths to close those gaps by leveraging both business acumen and technical engineering skills to create unique value opportunities. We ask that those attending RSVP at the link here.
Ashley is the staff executive for the Air Power mission area within Raytheon Missiles & Defense, reporting directly to the President of Air Power. Ashley is responsible for the effective communication, coordination, and collaboration of the Air Power leadership team, which manages all Air Force business for Raytheon Missiles & Defense.
Previously, Ashley was a Program Operations Manager in the Sustainment and Sensors mission area. In this role she managed over $250M of material and labor scope for the Sensors Product Line supporting the SPY-6 and AN/TPY-2 radar programs. Ashley was responsible for coordinating multiple cross business teams and 5 manufacturing execution centers to ensure successful on time integration, manufacturing, and alignment to contract schedules.
Other previous roles include Deployment and Change Management Lead for the Common Manufacturing Execution System (CMES), Operations Manager for the Circuit Card Assembly Consolidation, and Manufacturing Manager in the Circuit Card Assembly factory in Andover, MA where she led a team building over 200 products across 7 programs.
Ashley has also held roles outside of Raytheon at Accenture Consulting in Boston, Massachusetts, where she was a management consultant leading multiple clients through large scale digital transformations.
Ashley holds a bachelor’s degree in industrial engineering, and a master’s of business administration from Northeastern University.

IRobot Panel Discussion: "Permission to Fail"
2022-02-17 17:30 - 18:30
Engineers from iRobot (maker of Roomba) will discuss the honest truth of their (somewhat bumpy) path to a career
When: Thursday, February 17, 2022 5:30-6:30
Zoom Meeting ID: 956 0020 8268 PW: [REDACTED]

Global Co-op Student Panel and Networking Night
2022-02-17 16:00 - 17:30
Are you interested in hearing about global co-ops from your peers, and connecting with other students searching for co-ops abroad?
Come join us for an in-person Student Panel and Networking Night on February 17th, featuring global co-op alumni in a panel-style discussion. Following the panel, we will have a networking portion, in which you can speak with panelists, other students, and global co-op faculty and staff from across the colleges. Whether you are considering a global co-op, have secured a global co-op, are just have an interest in hearing about work experiences across the globe, we encourage you to attend! Any and all majors are w​elcome, as we will have student speakers from COE, DMSB, CSSH, and more sharing about co-op work experiences across the disciplines.
Food and drinks will be provided during the networking portion of the event. Masks will be required throughout the event, except while eating.
Please register in NUworks
Location: McLeod Suites of the Curry Student Center

ECE PhD Proposal Review: Yuanyuan Li
2022-02-16 13:30 - 14:30
PhD Proposal Review: Submodularity in Cache Networks
Yuanyuan Li
Location: Zoom Link
Abstract: As information-based demand surges, distributed network services, e.g., cache networks, play an important role to mitigate network traffic. Cache networks are a natural abstraction for many applications, including information-centric networks, content delivery networks, cloud computing, and edge/wireless IoT. How to allocate resources (routing, placing items in caches, flow control, etc.) in cache networks is a crucial problem, as resources (storage space, and bandwidths) are usually limited. Resource allocation in networks has been traditionally approached through classic convex optimization. However, simple problems becomes combinotorial in cache networks, which leads to NP-hardness. Enlightened by several works studying cache networks, we identify a useful property, submodularity, which is the key to approximation algorithms solving those NP hard resource allocation problem in cache networks.
Leveraging submodularity, we study a cache network, in which intermediate nodes equipped with caches can serve content requests, from different angles.
First, we model this network as a universally stable queuing system, in which packets carrying identical responses are consolidated before being forwarded downstream. We refer to resulting queues as M/M/1c or counting queues, as consolidated packets carry a counter indicating the packet’s multiplicity. Cache networks comprising such queues are hard to analyze; we propose two approximations: one via M/M/∞ queues, and one based on M/M/1c queues under the assumption of Poisson arrivals. We show that, in both cases, the problem of jointly determining (a) content placements and (b) service rates admits a poly-time, 1-1/e approximation algorithm. We also show that our analysis, with respect to both algorithms and associated guarantees, extends to (a) counting queues over items, rather than responses, as well as to (b) queuing at nodes and edges, as opposed to just edges.
Second, we refer to the cost reduction enabled by caching as the caching gain, and the product of the caching gain of a content request and its request rate as caching gain rate. We aim to study emph{fair} content allocation strategies through a utility-driven framework, where each request achieves a utility of its caching gain rate, and consider a family of α-fair utility functions to capture different degrees of fairness. The resulting problem is an NP-hard problem with a non-decreasing submodular objective function. Submodularity allows us to devise a deterministic allocation strategy with an optimality guarantee factor arbitrarily close to 1-1/e. When 0 < α ≤ 1, we further propose a randomized strategy that attains an improved optimality guarantee, (1-1/e)^(1-α), in expectation.
Third, We study a cache network under arbitrary adversarial request arrivals. We propose a distributed online policy based on the online tabular greedy algorithm. Our distributed policy achieves sublinear (1-1/e)-regret, also in the case when update costs cannot be neglected.
Finally, we propose an experimental design network paradigm, wherein learner nodes train possibly different Bayesian linear regression models via consuming data streams generated by data source nodes over a network. We formulate this problem as a social welfare optimization problem in which the global objective is defined as the sum of experimental design objectives of individual learners, and the decision variables are the data transmission strategies subject to network constraints. We first show that, assuming Poisson data streams, the global objective is a continuous DR-submodular function. We then propose a Frank-Wolfe type algorithm that outputs a solution within a 1-1/e factor from the optimal. Our algorithm contains a novel gradient estimation component which is carefully designed based on Poisson tail bounds and sampling.
