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DTSTART;TZID=America/New_York:20251007T080000
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SUMMARY:Disciplinary Engineering Programs Co-op Overview
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. Register for a variety of program-specific webinars throughout the week tailored to your career aspirations and get direct insights from faculty members and current students. Each session includes a 30-minute presentation followed by a Q&A session\, allowing you to directly connect with panelists and presenters. \nThis session will highlight our Disciplinary Engineering Programs Co-op Overview \nTuesday October 7th\, 2025 at 8:00AM ET
URL:https://ece.northeastern.edu/event/disciplinary-engineering-programs-co-op-overview/
LOCATION:Virtual
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
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DTSTART;TZID=America/New_York:20251008T110000
DTEND;TZID=America/New_York:20251008T120000
DTSTAMP:20260522T174359
CREATED:20250917T000745Z
LAST-MODIFIED:20250917T000745Z
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SUMMARY:Electrical and Computer Engineering Programs Overview
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. Register for a variety of program-specific webinars throughout the week tailored to your career aspirations and get direct insights from faculty members and current students. Each session includes a 30-minute presentation followed by a Q&A session\, allowing you to directly connect with panelists and presenters. \nThis session will highlight our Electrical and Computer Engineering Programs Overview \nWednesday October 8th\, 2025 at 11AM ET
URL:https://ece.northeastern.edu/event/electrical-and-computer-engineering-programs-overview/
LOCATION:Virtual
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251105T100000
DTEND;TZID=America/New_York:20251105T120000
DTSTAMP:20260522T174359
CREATED:20251016T175047Z
LAST-MODIFIED:20251016T175047Z
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SUMMARY:Digital Twin Models for Semiconductor Manufacturing Unit Process
DESCRIPTION:Join ECE Assistant Professor Benyamin Davaji\, head of the AIMS Lab\, as he explores how digital twin models are redefining semiconductor manufacturing. \n\nSEMI Master Class #27 will feature two thought leaders redefining the future of semiconductor process innovation — Dr. Benyamin Davaji of Northeastern University and Dr. Peter Doerschuk of Cornell University. \nDr. Davaji\, Assistant Professor of Electrical and Computer Engineering at Northeastern and head of the Autonomous Integrated Microsystems (AIMS) Lab\, merges data science\, physics\, and nanofabrication to revolutionize semiconductor manufacturing. His work on digital twin models is reshaping how we simulate\, optimize\, and scale unit processes—from lab-scale experimentation to high-volume production. \nDr. Doerschuk\, Professor of Electrical and Computer Engineering at Cornell University\, brings decades of experience in computational modeling and systems analysis. With degrees in electrical engineering from MIT and an M.D. from Harvard Medical School\, his research bridges computation and biology\, developing advanced models that drive new approaches to sensor signal processing\, pattern recognition\, and data-driven system design. \nTogether\, these speakers will explore how digital twins and computational models are transforming semiconductor process development and enabling smarter\, faster\, and more efficient manufacturing. \nIn this session\, you’ll learn:\n• How digital twins are transforming semiconductor process development\n• Real-world applications of AI and virtual metrology in printed electronics\n• Strategies for integrating computational modeling with physical systems to boost reliability and throughput \nWhether you’re an engineer\, executive\, or technologist\, this Master Class will deliver actionable insights on bridging data\, modeling\, and manufacturing. \nRegister
URL:https://ece.northeastern.edu/event/digital-twin-models-for-semiconductor-manufacturing-unit-process/
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DTSTART;TZID=America/Phoenix:20260224T133000
DTEND;TZID=America/Phoenix:20260224T163000
DTSTAMP:20260522T174359
CREATED:20260110T020817Z
LAST-MODIFIED:20260110T020817Z
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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/
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DTSTART;TZID=America/New_York:20260331T153000
DTEND;TZID=America/New_York:20260331T170000
DTSTAMP:20260522T174359
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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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DTSTART;TZID=America/New_York:20260406T100000
DTEND;TZID=America/New_York:20260406T110000
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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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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260531T100000
DTEND;TZID=America/New_York:20260531T150000
DTSTAMP:20260522T174359
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/
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