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DTSTART;TZID=America/Phoenix:20260224T133000
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DTSTAMP:20260720T185325Z
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UID:8222-1771939800-1771950600@ece.northeastern.edu
SUMMARY:Digital Twins for Printed Electronics: How Can AI Learn FHE Printing
DESCRIPTION:Benyamin Davaji\, Assistant Professor in the College of Engineering\, alongside Haiyang Yun\, Senior PhD Student\, will instruct a professional course titled “Digital Twins for Printed Electronics: How Can AI Learn FHE Printing” on February 24\, 2026\, from 1:30–4:30 p.m. MT. at FLEX 2026\, the premier international conference for Flexible and Hybrid Electronics (FHE)\, taking place in Phoenix\, Arizona. \nDigital Twin is a virtual representation of the structure\, context\, and behavior of physical systems or a process\, with a live link to a physical system serving as a key enabler for predictive and data-driven optimization. In Printed and Flexible Hybrid Electronics (FHE)\, manufacturing involves multiple interdependent variables—different printing technologies\, inks\, substrates\, and process conditions—each introducing its own complexity. In practice\, additional challenges such as equipment drift\, batch-to-batch variations\, and environmental fluctuations further impact process consistency and yield. Changing a process or transferring it between tools is often difficult\, as each setup is highly customized and sensitive to local conditions. To address these challenges\, Digital Twin frameworks connect data from design\, fabrication\, and metrology into continuously learning digital models. They enable early detection of process drifts\, virtual experimentation for process development\, and data-driven optimization that reduces time\, cost\, and waste. \nThis course introduces Digital Twin frameworks for FHE\, focusing on Deep Neural Network (DNN)-based predictive models. Participants will learn how to integrate design\, fabrication\, and metrology data into continuously learning virtual twins that detect process drifts\, enable virtual experimentation\, and optimize manufacturing. The program covers the full workflow—from image processing and virtual metrology to AI model training\, validation\, and hyperparameter tuning—using real datasets. A hands-on “Build Your Own Digital Twin” module in Google Colab will provide practical experience in training and refining models for printed electronics applications\, equipping attendees with both theoretical insight and applied skills for process optimization and performance prediction. \nFor more information\, visit the FLEX 2026 course page.
URL:https://ece.northeastern.edu/event/digital-twins-for-printed-electronics-how-can-ai-learn-fhe-printing/
LOCATION:MA
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DTSTART;TZID=America/New_York:20260331T153000
DTEND;TZID=America/New_York:20260331T170000
DTSTAMP:20260323T174858Z
CREATED:20260323T174858Z
LAST-MODIFIED:20260323T174858Z
UID:8349-1774971000-1774976400@ece.northeastern.edu
SUMMARY:ECE Distinguished Lecture: Ubiquitous Active Surfaces
DESCRIPTION:ECE DISTINGUISHED LECTURE: Ubiquitous Active Surfaces \nProf. Vladimir Bulović\nProfessor of Emerging Technologies\, MIT\nTuesday\, March 31\n3:30-5:00 PM (ET)\n102 ISEC Auditorium or Teams \nWhat if any surface could generate light\, harvest solar energy\, sense motion\, or emit sound? Paper-thin devices are making this possible — turning walls\, windows\, and everyday objects into active technology. Prof. Bulović will showcase newly invented MIT technologies and the startups bringing them to market. \nAbout the speaker: Founding Director of MIT.nano\, holder of 120+ U.S. patents\, and author of 300+ research articles (cited 70\,000+ times). His lab’s spinouts — including QD Vision\, Ubiquitous Energy\, and Swift Solar — have brought thin-film technology to millions of users worldwide.
URL:https://ece.northeastern.edu/event/ece-distinguished-lecture-ubiquitous-active-surfaces/
LOCATION:102 ISEC\, 360 Huntington Ave\, 102 ISEC\, Boston\, MA\, 02115\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260406T100000
DTEND;TZID=America/New_York:20260406T110000
DTSTAMP:20260310T174934Z
CREATED:20260310T174934Z
LAST-MODIFIED:20260310T174934Z
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SUMMARY:Wonder Week: Electrical and Computer Engineering
DESCRIPTION:During Wonder Week\, you’ll have the chance to learn how the top-ranked Graduate School of Engineering at Northeastern University combines rigorous academics with experiential learning and convergent research. You’ll also see how our unique learning model better prepares the next generation of engineering leaders to address the complex challenges of global society. \nPrograms discussed in this webinar include electrical and computer engineering and data science.
URL:https://ece.northeastern.edu/event/wonder-week-electrical-and-computer-engineering/
LOCATION:Virtual
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
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DTSTART;TZID=America/New_York:20260531T100000
DTEND;TZID=America/New_York:20260531T150000
DTSTAMP:20260720T185433Z
CREATED:20260326T154318Z
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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
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260929
DTEND;VALUE=DATE:20261001
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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
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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
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