BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Department of Electrical &amp; Computer Engineering - ECPv6.17.5//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://ece.northeastern.edu
X-WR-CALDESC:Events for Department of Electrical &amp; Computer 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:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20270314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20271107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260531T100000
DTEND;TZID=America/New_York:20260531T150000
DTSTAMP:20260720T185433Z
CREATED:20260326T154318Z
LAST-MODIFIED:20260720T185433Z
UID:8365-1780221600-1780239600@ece.northeastern.edu
SUMMARY:Digital Twins for MEMS Manufacturing
DESCRIPTION:Northeastern University College of Engineering will be at the forefront of one of the MEMS and Microsystem community’s most anticipated gatherings this summer. Benyamin Davaji \, Assistant Professor in the College of Engineering\, is co-organizing a full-day workshop on Digital Twins for MEMS Manufacturing at Hilton Head 2026 \, taking place May 31–June 4 at the Sonesta Resort on Hilton Head Island\, South Carolina. The workshop\, co-organized with Prof. Gary Fedder of Carnegie Mellon University\, will open the conference on Sunday\, May 31\, from 10:00 a.m. to 3:00 p.m. \nHilton Head 2026 is the 22nd edition of the biennial Workshop on the Science and Technology of Solid-State Sensors\, Actuators\, and Microsystems\, a multidisciplinary gathering that draws researchers from academia\, industry\, and government worldwide. \nThe Digital Twins for MEMS Manufacturing workshop reflects growing momentum around smarter\, more adaptive and process-aware MEMS and semiconductor fabrication. The session will explore how digital twins — virtual representations of physical manufacturing systems — differ from conventional modeling approaches and will cover topics including automated critical-dimension extraction\, virtual metrology using equipment data\, and the integration of AI methods such as agentic approaches for iterative process and design optimization. A panel with industry participants will spotlight unmet needs and pathways for collaboration\, making the workshop a bridge between academic research and real-world manufacturing challenges. \nThis workshop builds on research from Northeastern’s Autonomous Integrated Microsystems (AIMS) Laboratory \, which develops AI-driven digital twin frameworks to connect design\, fabrication\, and metrology data in continuously learning systems. The session at Hilton Head 2026 represents an opportunity to share this work with the broader MEMS community and shape the conversation around data infrastructure\, interoperability\, and standards that will define the next generation of MEMS manufacturing. \nAbstract: Recent interest in semiconductor digital twins is driven by the expectation of accelerating process development\, enabling device – technology design co-optimization\, and supporting agile manufacturing workflows. This participatory workshop examines digital twins for MEMS from a manufacturing-centered perspective\, emphasizing how they differ from traditional modeling and simulation. Topics include an introduction to digital twin concepts with examples from MEMS-relevant processes\, automated CD extraction and process characterization\, virtual metrology using equipment data\, and the challenges of extending these approaches across complete process flows. The workshop will also introduce the role of digital twins in enabling AI methods relevant to MEMS workflows\, including agentic approaches for process and design iteration. Commercial tools and current capabilities will be reviewed\, followed by a discussion of gaps in data infrastructure\, interoperability\, and standards. A panel with industry participants will highlight unmet needs and opportunities for research and collaboration in MEMS digital twins. \nFor more information on the workshop program\, visit https://www.hh2026.org/events/sunday_workshops.html. \n 
URL:https://ece.northeastern.edu/event/digital-twins-for-mems-manufacturing/
LOCATION:MA
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260929
DTEND;VALUE=DATE:20261001
DTSTAMP:20260924T120450Z
CREATED:20260924T115132Z
LAST-MODIFIED:20260924T120450Z
UID:8671-1790640000-1790812799@ece.northeastern.edu
SUMMARY:NANOscientific Symposium Americas 2026
DESCRIPTION:Join us for the NANOscientific Symposium Americas 2026\, taking place September 29 at EXP Northeastern University and September 30 at Northeastern University’s Innovation Campus in Burlington\, MA. NSS Americas 2026 brings together research\, instrumentation\, and collaborative frameworks to advance developments in nanoscale discovery. \nSeptember 29 (Day 1)\nIn-person event with live online streaming\, featuring high-level speakers and technical talks. \nSeptember 30 (Day 2)\nLive\, hands-on tool training with the Park Atomic Force Microscopes\, Accurion EP4 Imaging Spectroscopic Ellipsometer\, and Lyncée Digital Holographic Microscope. The speaker lineup and registration details will be announced in the forthcoming official program. \nBenyamin Davaji\, of Northeastern University’s Autonomous Integrated Microsystems (AIMS) Laboratory\, plays a leading role in the event — delivering the symposium’s welcome remarks and presenting a technical talk\, “Measure\, Learn\, Predict\, and Act: Metrology-Enabled Digital Twins for Autonomous Nanomanufacturing.” \nDavaji joins a lineup of speakers from Stanford University\, the University of Pennsylvania\, the University of Illinois Urbana-Champaign\, MIT\, the University of Toronto\, and the University of North Carolina at Chapel Hill\, alongside Park Systems leadership. Topics span atomic force microscopy\, 2D materials\, semiconductor failure analysis\, and advanced optical metrology. Day two offers live\, hands-on training with Park Atomic Force Microscopes\, the Accurion EP4 Imaging Spectroscopic Ellipsometer\, and a Lyncée digital holographic microscope.
URL:https://ece.northeastern.edu/event/nanoscientific-symposium-americas-2026/
LOCATION:EXP\, 815 Columbus Avenue\, Boston\, MA\, 02120\, United States
CATEGORIES:use the department, audience, and topic lists
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261112T173000
DTEND;TZID=America/New_York:20261112T203000
DTSTAMP:20260901T195753Z
CREATED:20260901T195753Z
LAST-MODIFIED:20260901T195753Z
UID:8581-1794504600-1794515400@ece.northeastern.edu
SUMMARY:Boston Physical AI Workshop and Meetup
DESCRIPTION:Join us at Northeastern University on November 12th for the Boston Physical AI Workshop and Meetup\, co-presented by Nebius and Voxel51. \nThe evening kicks off meetup-style with lightning talks from local speakers working across AI\, machine learning\, and computer vision\, followed by a hands-on workshop on building physical AI applications with FiftyOne\, from curating robotics and sensor datasets to evaluating vision models on real-world data. \nA laptop is required to participate in the hands-on workshop – please bring one. Space is limited\, so register early. \nLocation: Northeastern University\, 140 Fenway\, Room 378\, Boston\, MA 02115 \n\nNetworking and Meetup\n5:30–6:30 PM\n\nNetworking\, food\, drinks\, and lightning talks\n\nWorkshop Agenda\nThis hands-on session uses DROID\, a real-world robotics dataset loaded into FiftyOne as a native multimodal MCAP recording\, and YOLO11n\, fine-tuned live during the session.\n6:30–7:30 PM\n\nWelcome + framing: from raw robot logs to a trained detector\nExplore a real DROID robotics recording in FiftyOne’s native multimodal MCAP viewer: camera\, proprioception\, and language on one synced timeline\, no ROS install required\nCurate: extract and browse frames from the recording\, filter and deduplicate\nCompute embeddings on the curated frames; explore via similarity search and embeddings visualization (via Nebius Serverless AI Jobs)\n\n7:30–8:00 PM\n\nAuto-label: open-vocabulary detection to generate bounding boxes for the robot gripper and target objects\nTrain: fine-tune a YOLO11n detector on the auto-labeled frames (via Nebius Serverless AI Jobs)\nEvaluate results and close the loop: view predictions back on the original MCAP timeline\n\n8:00–8:30 PM\n\nWhat else Nebius offers: Token Factory walkthrough — chat/vision models\, fine-tuning\, credits
URL:https://ece.northeastern.edu/event/boston-physical-ai-workshop-and-meetup/
LOCATION:MA
END:VEVENT
END:VCALENDAR