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X-WR-CALDESC:Events for Northeastern University College of Engineering
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DTSTART;TZID=America/New_York:20260217T100000
DTEND;TZID=America/New_York:20260217T110000
DTSTAMP:20260517T072621
CREATED:20260127T153114Z
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UID:55146-1771322400-1771326000@coe.northeastern.edu
SUMMARY:Crafting Data Visuals to Tell a Scientific Story: CommLab Drop-In Hours
DESCRIPTION:Looking to illustrate your data? Join our Data Visualization Drop-In sessions Tuesdays from 10-11am on Zoom to discuss strategies or receive feedback on your data visualization process.
URL:https://coe.northeastern.edu/event/crafting-data-visuals-to-tell-a-scientific-story-commlab-drop-in-hours/2026-02-17/
LOCATION:https://northeastern.zoom.us/j/99770601100?pwd=mbD3JHc7u0fjb558MDmqIHoSNBMrsS.1
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260217T100000
DTEND;TZID=America/New_York:20260217T110000
DTSTAMP:20260517T072621
CREATED:20260128T143622Z
LAST-MODIFIED:20260128T143803Z
UID:55252-1771322400-1771326000@coe.northeastern.edu
SUMMARY:Creating and Delivering Impactful Posters and Presentations: A CommLab Workshop Series
DESCRIPTION:From concept to creation to presentation\, your poster is a tool to convey your research and projects. By attending this workshop series\, you will learn and hone valuable skills to engage your audience with a clear and distinct poster. Whether this is your first poster submission\, or you are a seasoned poster presenter\, you will learn valuable tips and tricks at each of the four steps in the poster process.  If you miss the event\, view the video through our Team Video Link. \nZoom Link\,\n\nMonday\, February 2nd\, 10-11 am: Designing Poster Narratives\nMonday\, February 9th\, 10-11 am: Crafting Posters with Visual Impact\nTuesday\, February 17th\, 10-11 am: Delivering an Impactful Poster Pitch: Strategies for Engaging Your Audience
URL:https://coe.northeastern.edu/event/creating-and-delivering-impactful-posters-and-presentations-a-commlab-workshop-series/2026-02-17/
LOCATION:https://northeastern.zoom.us/j/95011040922?pwd=rFDsplIEFNDsYytPWDPbDZi32dFFvX.1
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DTSTART;TZID=America/New_York:20260217T110000
DTEND;TZID=America/New_York:20260217T120000
DTSTAMP:20260517T072621
CREATED:20260126T152754Z
LAST-MODIFIED:20260318T203207Z
UID:55104-1771326000-1771329600@coe.northeastern.edu
SUMMARY:CV/LinkedIn/Resume CommLab Drop-In Hours
DESCRIPTION:Graduate students\, do you need to increase your on-line presence or update your CV or Resume?  Join the CommLab’s LinkedIn\, CV\, and Resume drop-in hours any Tuesday from 11 am to 12 pm ET. This collaborative space offers valuable advice and peer feedback to enhance your online profile and professional presence. Join this drop-in workshop in person in room 334 CSC or through Zoom.
URL:https://coe.northeastern.edu/event/cv-linkedin-resume-commlab-drop-in-hours/2026-02-17/
LOCATION:https://northeastern.zoom.us/meeting/register/tJEof-quqzwiGNCi3nAuNVzIyX1jgXA03KYO
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DTSTART;TZID=America/New_York:20260217T153000
DTEND;TZID=America/New_York:20260217T163000
DTSTAMP:20260517T072621
CREATED:20260205T191517Z
LAST-MODIFIED:20260205T191517Z
UID:55400-1771342200-1771345800@coe.northeastern.edu
SUMMARY:MIE Seminar: AI\, Optimization and Machine Learning in OM Applications
DESCRIPTION:MIE Seminar Series: featuring Dr. Georgia Perakis\, William F. Pounds Professor\, in Operations Management\, Operations Research & Statistics\, at MIT Sloan; Editor in Chief of the M&SOM Journal\, and a Visiting Scholar\, at Harvard Business School. This will be a joint seminar with the D’Amore-McKim School of Business. \nDr. Perakis will present a seminar titled: “AI\, Optimization and Machine Learning in OM Applications.” This seminar explores how AI\, optimization\, and machine learning work together to integrate predictive and prescriptive tasks in data‑driven decision‑making\, particularly within operations management. \nAll members of the MIE\, COE\, and DMSB communities are invited to attend. \nTuesday\, February 17\, 2026 | 358 Snell Engineering | 3:30 pm—4:30 pm \n\nAbstract: Data-driven decision-making has garnered a growing interest due to the increase in data availability in recent years. With that growth many opportunities as well as challenges arise. AI\, Optimization and Machine Learning (ML) and their synergies can play an important role to address these challenges. In fact\, nowadays\, predictive and prescriptive tasks arise together in Operations Management applications. This makes AI even more important. In this talk\, we will discuss how AI connects with optimization and ML in some of these key applications. We will highlight the importance and challenges of integrating predictive and prescriptive tasks in data-driven decision-making. If time permits\, we will also discuss the M&SOM journal and describe some of the new initiatives from this past year and the vision moving forward. \nBio: Georgia Perakis is the William F. Pounds Professor and a Professor of Operations Management\, Operations Research & Statistics at the MIT Sloan School of Management. She is also serving as co-director of the Operations Research Center. On July 1 she started her sabbatical at Harvard Business School where she is spending the year as a Visiting Scholar. \nFor the past year and a half\, she served as the John C Head III Dean (Interim) at MIT Sloan and before that\, she served as an Associate Dean for Social and Ethical Responsibility in Computing (SERC) in the Schwarzman College of Computing and MIT Sloan. Her research has received many awards and focuses on analytics/AI\, in particular\, in the intersection of optimization and machine learning with applications in pricing\, revenue management\, supply chain\, sustainability and healthcare among others. Among other recognitions\, she received the PECASE Award from the Office of the President on Science and Technology. In 2016\, she was elected as an INFORMS Fellow\, and in 2021 as Distinguished MSOM Fellow. This past Fall\, she has also received the Salzburg Medallion from Syracuse University for “outstanding leadership and innovation in the field of Supply Chain Management” and “efforts in solving complex problems and educating others.” \nPerakis has passion for supervising PhD\, masters\, and undergraduate students\, having graduated 34 PhD and 63 master’s students. She has also received numerous awards for teaching including the Graduate Student Council Teaching Award (2002)\, the Samuel M. Seegal Award (2012)\, the Jamieson Prize for excellence in Teaching (2014)\, the Teacher of the Year Award (2017) and the Outstanding Teaching Award (2024) at MIT Sloan. \nPerakis is currently the Editor in Chief of the M&SOM journal and has served on the editorial board at a number of other journals. She holds a BS in mathematics from the University of Athens as well as an MS in applied mathematics and a PhD in applied mathematics from Brown University.
URL:https://coe.northeastern.edu/event/mie-seminar-ai-optimization-and-machine-learning-in-om-applications/
ORGANIZER;CN="Mechanical & Industrial Engineering":MAILTO:mie-web@coe.neu.edu
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DTSTART;TZID=America/New_York:20260217T160000
DTEND;TZID=America/New_York:20260217T170000
DTSTAMP:20260517T072621
CREATED:20260202T204654Z
LAST-MODIFIED:20260202T204654Z
UID:55349-1771344000-1771347600@coe.northeastern.edu
SUMMARY:College AI Showcase
DESCRIPTION:The College AI Showcase is designed to highlight the exciting and innovative AI readiness work underway across the colleges while fostering shared learning and collaboration. The showcase will consist of two virtual 60-minute sessions\, with five colleges presenting in each session. College leadership has identified representative(s) to share their college’s AI accomplishments\, initiatives\, and progress\, with each college allotted 10 minutes. This event provides an opportunity for colleges to learn from one another\, exchange effective practices\, and strengthen collective readiness for the evolving AI landscape. \nDay 1\, Tues\, Feb 17\, 4-5 pm EST\, Virtual: Register \n\nCOE: Gregory Abowd and Brian O’Connell\nCOS: Srinivas Sridhar and Abby Williams\nCPS: Corliss Thompson and Chris Cook\nCSSH: Laurie Nardone\, Michelle Zaff and Cristina Perez-Arranz\nLaw: Hemanth Gundavaram\n\nDay 2\, Wed\, Feb 18\, 4-5 pm EST\, Virtual: Register \n\nBouve: Dave Sherman and Herman Saksono\nCAMD: Smit Desai\nDMSB: Kwong Chan\nKhoury: Felix Muzny\nMills: Stephanie Young\n\nBoth sessions will be recorded.  Questions: email learningstrategy@northeastern.edu.  This event is jointly presented by the Offices of the Provost and the Chancellor.
URL:https://coe.northeastern.edu/event/college-ai-showcase/2026-02-17/
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