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Leverage SEMI U learning offerings to accelerate your professional development journey for 2026! Our pledge remains unwavering: providing comprehensive, technical education to equip you with the skills needed for a prosperous journey in the semiconductor sector.
Are you ready to take your semiconductor industry knowledge to the next level? We're thrilled to invite you to our upcoming webinar titled "Kick Start 2026 with SEMI U." This webinar promises to be an informative session where you'll gain insights into the latest updates and course offerings.
During this webinar, you can expect to:
- Discover the latest updates and enhancements to SEMI U's on-demand course catalog.
- Upcoming virtual and in-person instructor-led trainings scheduled for the first half of the year.
- Gain access to a special 10% discount on ALL on-demand courses.
United States
Join us to discover our current course offerings, upcoming in-person and virtual trainings, and more. Engage in a Q&A session. Plus, by attending this free webinar, you'll receive a 10% discount code for all on-demand courses and will be entered into a raffle to win a FREE course bundle ($100 value).
5:00 pm - 5:30 pm Off Add to Calendar 2026-01-21 17:00:00 2026-01-21 17:30:00 Kick Start 2026 with SEMI U - Free Webinar (PM Session) Join us to discover our current course offerings, upcoming in-person and virtual trainings, and more. Engage in a Q&A session. Plus, by attending this free webinar, you'll receive a 10% discount code for all on-demand courses and will be entered into a raffle to win a FREE course bundle ($100 value). United States SEMI.org [email protected] America/Los_Angeles public Register NowLeverage SEMI U learning offerings to accelerate your professional development journey for 2026! Our pledge remains unwavering: providing comprehensive, technical education to equip you with the skills needed for a prosperous journey in the semiconductor sector.
Are you ready to take your semiconductor industry knowledge to the next level? We're thrilled to invite you to our upcoming webinar titled "Kick Start 2026 with SEMI U." This webinar promises to be an informative session where you'll gain insights into the latest updates and course offerings.
During this webinar, you can expect to:
- Discover the latest updates and enhancements to SEMI U's on-demand course catalog.
- Upcoming virtual and in-person instructor-led trainings scheduled for the first half of the year.
- Gain access to a special 10% discount on ALL on-demand courses.
United States
Join us to discover our current course offerings, upcoming in-person and virtual trainings, and more. Engage in a Q&A session. Plus, by attending this free webinar, you'll receive a 10% discount code for all on-demand courses and will be entered into a raffle to win a FREE course bundle ($100 value).
8:00 am - 8:30 am Off Add to Calendar 2026-01-21 08:00:00 2026-01-21 08:30:00 Kick Start 2026 with SEMI U - Free Webinar (AM Session) Join us to discover our current course offerings, upcoming in-person and virtual trainings, and more. Engage in a Q&A session. Plus, by attending this free webinar, you'll receive a 10% discount code for all on-demand courses and will be entered into a raffle to win a FREE course bundle ($100 value). United States SEMI.org [email protected] America/Los_Angeles public Register NowSuggested Hotels:
Embassy Suites by Hilton Milpitas Silicon Valley
901 East Calaveras Boulevard
Milpitas, CA 95035
(408) 942-0400
Courtyard by Marriott Milpitas Silicon Valley
1480 Falcon Dr.
Milpitas, CA 95035
(408) 719-1966
Milpitas, CA
United States
Morning, Day 1: March 18th, 2026
Smart Sensors and Edge Intelligence for Advanced Process Control
Overview: Explore the latest sensor technologies—optical, thermal, vibration, and chemical—and how embedded AI at the edge enables real-time control loops for critical wafer fab processes. Includes case studies on inline metrology and adaptive control.
Key Topics: Sensor fusion and calibration, Edge inference for process drift detection, Integration with APC and FDC system
Smart Sensors and Edge Intelligence for Advanced Process Control
Overview: Explore the latest sensor technologies—optical, thermal, vibration, and chemical—and how embedded AI at the edge enables real-time control loops for critical wafer fab processes. Includes case studies on inline metrology and adaptive control.
Key Topics: Sensor fusion and calibration, Edge inference for process drift detection, Integration with APC and FDC system
Registration & Breakfast
Day 1 - Welcome All
Welcome & SEMI Manufacturing Coalitions Overview
Keynote: Vision – Edge Inference – Process Control, APC, FDC
Managing Edge AI for Smart Sensor Process Control
Advanced Process Control with Piezoelectric Sensor Fusion for Semiconductor Manufacturing
Coffee Break
A Unified Industrial Platform for Production-Ready AI
Physical AI on the Manufacturing Floor: From Virtual Commissioning to Deployment
Intelligent Robots & Digital Twins for Advanced Manufacturing
Sensor as the Eyes and Ears of AI
Networking Lunch
Afternoon, Day 1: March 18th, 2026
Yield Enhancement through Edge-Driven Defect Detection and Classification
Overview: Present how edge AI models process sensor and image data to identify yield-impacting defects early in the process. Discuss virtual metrology, anomaly detection, and feedback loops for yield optimization.
Key Topics: Real-time defect classification, Sensor-based yield prediction, Integration with SPC and yield dashboards
SEMI Fab Owners Alliance (FOA)
Physics-Aware AI for Semiconductor Manufacturing Process Optimization: Deployed Systems and the Edge AI Frontier
Real-Time, Tool-Independent Health Monitoring Using Gaussian Process Confidence Bands on Sensor Signals
Applications of AI-Based Defect Classification for Yield Improvement: From FEOL (Front end-of line) in Fabs to Assembly and Test
Coffee Break
Edge-Driven Yield Learning: Real-Time Deep Learning and HAR Defect Discovery in Advanced E-Beam Architectures
Reducing Rework and Boosting Fab Capacity with Edge AI and Metrology-Driven Predictive Analytics
Overcoming the challenges of AI defect detection and classification of semiconductor macro defects
From Data to Decisions: Edge AI for Yield, Defect Detection, and Predictive Insights
Software Defined Industrial Automation: A Blueprint for AI-Ready, Real-Time Edge Operations in Semiconductor Manufacturing
Reception
Morning, Day 2: March 19th, 2026
Autonomous WIP Movement: Robots, Sensors, and Edge AI Coordination
Overview: Dive into next-gen clean rooms – how intelligent robotics & AI‑enabled inspection elevate yield, reliability & efficiency.
Key Topics: Sensor-guided AGVs and AMRs, AI-based path optimization, Interoperability with fab logistics systems
Registration & Breakfast
Day 2 - Welcome All
Day 1 Overview & MSIG Overview
Keynote: Smarter Fabs in Motion: How Edge AI and Sensor Networks Drive Autonomous Material Handling
Precision, Automation, and Beyond: The Role of Advanced Sensors in the Evolution of Semiconductor Manufacturing for effective Tool set-up, Predictive and Preventative Maintenance
Perception-Enabled Assurance of Semiconductor Manufacturing Systems
Coffee Break
Using Edge AI models and Deep RL to improve yield, tool availability, and fab performance
Solving the Interoperability Gap: Orchestrating and Emulating Mixed-Fleet Robotics for High-Yield Fabs
Smart Modular Conveyance, the first step towards Autonomous Operations in Analog & Legacy fabs
The 5G Fabric: Leveraging Next Gen Connectivity to Enable Automation and Intelligence
Robots in the Cleanroom: Future of Automation in Semiconductor Manufacturing
Networking Lunch
Afternoon, Day 2: March 19th, 2026
Predictive Maintenance at the Edge: From Vibration to Vision
Overview: Highlight how edge-deployed AI models use sensor data (vibration, acoustic, thermal, visual) to predict equipment failures before they occur. Showcase deployment strategies and ROI from reduced downtime.
Key Topics: Edge analytics for tool health, Federated learning across equipment fleets, Maintenance scheduling optimization
Keynote: Predictive Maintenance at the Edge - AI Enabling PdM
Edge AI–Enabled Predictive Maintenance: Closing the Loop Between Equipment Health and Fab Operations
The Edge Revolution: Predictive Maintenance Reborn with Edge AI
The Challenge Of AI At The Edge – Making Use Of Advanced Sensors
Coffee Break
Edge-based Defect Detection and Predictive Maintenance in Semiconductor Manufacturing
Edge AI: The Future of Industrial Machine Health Monitoring
How AI‑based Maintenance Can Reshape Semiconductor Operations By Cutting Downtime By Up To 50%
Wrap-Up
Unlocking Smarter, More Autonomous Fabs with Edge AI
As semiconductor fabs strive for higher yield, uptime, and efficiency, AI at the edge is becoming central to semiconductor manufacturing. Modern edge devices combine advanced sensors with embedded AI to monitor equipment, optimize energy, and detect anomalies in real time - without relying on the cloud.
This workshop will explore how AI-driven sensors and edge intelligence, integrated with IoT, 5G, and AI accelerators, enable scalable, resilient, and intelligent solutions tailored for semiconductor manufacturing. Learn how these technologies support:
- Predictive maintenance to prevent downtime
- Adaptive process automation for maximum efficiency
- Real-time decision-making at the source of data generation
Join us to see how the convergence of sensors, edge AI, and connectivity is unlocking the next era of smart manufacturing.
Off Add to Calendar 2026-03-18 00:00:00 2026-03-19 00:00:00 Smarter Sensors, Smarter Fabs: AI at the Edge in Semiconductor Manufacturing Unlocking Smarter, More Autonomous Fabs with Edge AIAs semiconductor fabs strive for higher yield, uptime, and efficiency, AI at the edge is becoming central to semiconductor manufacturing. Modern edge devices combine advanced sensors with embedded AI to monitor equipment, optimize energy, and detect anomalies in real time - without relying on the cloud.This workshop will explore how AI-driven sensors and edge intelligence, integrated with IoT, 5G, and AI accelerators, enable scalable, resilient, and intelligent solutions tailored for semiconductor manufacturing. Learn how these technologies support:Predictive maintenance to prevent downtimeAdaptive process automation for maximum efficiencyReal-time decision-making at the source of data generationJoin us to see how the convergence of sensors, edge AI, and connectivity is unlocking the next era of smart manufacturing. Milpitas, CA United States SEMI.org [email protected] America/Los_Angeles public America/Los_Angeles On DemandREGISTRATION
PRICING
- Member: $49
- Non-Member: $99
STUDENTS
- Must have a valid Student ID.
- Contact Michelle Fabiano, [email protected]
for a student registration code.
This is an online recorded event; therefore, you will receive the content recording following the event. We are not processing refunds or cancellations.
Michelle Fabiano
Email: [email protected]
Mobile: +1.310.930.7669
Creating an Ecosystem for Advanced Packaging: How Backend Manufacturing is Leading the Way
As the semiconductor industry pushes the boundaries of performance, efficiency, and miniaturization, advanced packaging has emerged as a critical enabler of next-generation microelectronics. This virtual forum brings together leading voices from across the ecosystem to explore how backend manufacturing is driving innovation and collaboration in advanced packaging technologies.
Topics Include—
- The evolving role of backend manufacturing in enabling heterogeneous integration and chiplet architectures
Key challenges and opportunities in scaling advanced packaging solutions
Collaborative models for building a robust ecosystem—from academia to industry
Workforce development and infrastructure needs to support future growth
- Insights into government and industry initiatives shaping the future of microelectronics manufacturing
Whether you're a technologist, strategist, or policymaker, this forum offers a unique opportunity to gain actionable insights into the future of semiconductor packaging and the collaborative efforts driving it forward.
Participate in a U.S. Time Zone:
- Pacific: 9am–11:00am
- Mountain: 10am–12:00pm
- Central: 11am–1:00pm
- Eastern: 12pm–2:00pm
Register now to be part of this important conversation and contribute to shaping a sustainable future for the semiconductor industry!
United States
WEDNESDAY, NOVEMBER 12
Welcome & Opening Remarks
Advanced Packaging Options and the Role of Chiplets
Texas Institute of Electronics and Next-Generation Microelectronics Manufacturing Overview
Arizona State University - A Leader in Advanced Packaging
Empowering AI through Advanced Packaging for Chiplet and Heterogeneous Integration
Creating a US Fabrication Capabilities for Leading Edge IC-Substrate and 3D-Interconnect Fabrics
Closing Remarks
The SEMI Arizona & Texas Chapters Present
Creating an Ecosystem for Advanced Packaging: How Backend Manufacturing is Leading the Way
SEMI Members: $75
Use your corporate email address during log in to be recognized as a SEMI Member.
Non-Members: $149
Students: Free
Contact Basak Ulutas Ozturkler ([email protected]) with a picture of your student ID to receive your discount code.
A digital twin is a computer representation of the structure, context, and behavior of physical systems, which are critical components in the optimization of computational systems, accurately representing physical systems and processes. A Digital Twin can be used to reduce or eliminate iterative physical experiments needed for optimization, thereby enhancing yield, saving time, and resources. Semiconductor manufacturing involves numerous complex steps, where accurate control of each step is crucial to achieving the overall manufacturing yield and minimizing variations in device characteristics. The complexity of the manufacturing processes' flows limits flexibility for testing novel approaches. Unit processes can be based on first-principal models (physics-based), data-based models, or hybrid models combining both approaches when possible. Fabrication processes in the cleanroom and on printed electronics tools are often a function of time-varying parameters, including those of the equipment, environment, and materials. The parameters often have co-dependencies across different process steps and tool sets.
This course will cover the necessary material to create DNN-based Digital twins for nanofabrication processes in cleanrooms. The course will include experimental details for data preparation, data processing, training models, and use case demonstrations. Nanofabrication process equipment can inherently have millions of internal variables and can learn from datasets, providing a robust and complementary approach to traditional feedback control and process stabilization methods. The included Digital Twin modes are developed using images (CD-SEMs, optical images), time history data (Optical Emission Spectroscopy), and textual process information (recipes and materials). The course will include: (1) Approaches to preprocess image data and create learning-based models, (2) using DNN-based domain translation for learning to predict the DUV nanolithography and ICP Plasma Etch, (3) virtual metrology methods for quantification of learning outcomes, and (4) developing a new class of process-aware DNN-based digital twins.
ABOUT THE SPEAKERS
Benyamin Davaji, PhD
Benyamin Davaji is an Assistant Professor in the Electrical and Computer Engineering Department at Northeastern University. His research focuses on integrated microsystems with an emphasis on sensing and computation using mechanical waves, acoustic/ultrasound transducers, bio-interfaces, and microcalorimetry. He also applies data-guided methods to nanofabrication process development and semiconductor manufacturing. Dr. Davaji earned his PhD in Electrical and Computer Engineering from Marquette University in 2016 and later served as a post-doctoral associate at Cornell University’s School of Electrical and Computer Engineering.
Peter Doerschuk, PhD
Peter Doerschuk, Professor at Cornell University since 2006, previously served on the Purdue faculty in Electrical and Computer Engineering and Biomedical Engineering. He earned B.S., M.S., and Ph.D. degrees in Electrical Engineering from MIT, an M.D. from Harvard Medical School, and completed training at Brigham and Women’s Hospital and a postdoc at MIT. His research applies computational nonlinear stochastic systems to biology and medicine, spanning viral 3-D structure determination using electron microscopy and x-ray scattering, to nonlinear models of ethanol pharmacokinetics that enable sensor processing, pattern recognition, and individualized physiological analysis.
United States
Join us for this engaging Master Class with Benyamin Davaji, PhD, Assistant Professor of Electrical and Computer Engineering at Northeastern University and Peter Doerschuk, Professor of Electrical and Computer Engineering and Biomedical Engineering at Cornell University, as they explore the role of digital twin models in advancing semiconductor manufacturing. The masterclass will highlight how data-guided methods and computational modeling are transforming unit process development, driving efficiency and innovation across the semiconductor industry. With expertise spanning microsystems, acoustic transducers, and nanofabrication, the speakers will provide insights into how digital twins can bridge research and production to accelerate breakthroughs in semiconductor technology.
10:00 am - 12:00 pm Off Add to Calendar 2025-11-05 10:00:00 2025-11-05 12:00:00 FEMC#27 Digital Twin Models for Semiconductor Manufacturing Unit Process Join us for this engaging Master Class with Benyamin Davaji, PhD, Assistant Professor of Electrical and Computer Engineering at Northeastern University and Peter Doerschuk, Professor of Electrical and Computer Engineering and Biomedical Engineering at Cornell University, as they explore the role of digital twin models in advancing semiconductor manufacturing. The masterclass will highlight how data-guided methods and computational modeling are transforming unit process development, driving efficiency and innovation across the semiconductor industry. With expertise spanning microsystems, acoustic transducers, and nanofabrication, the speakers will provide insights into how digital twins can bridge research and production to accelerate breakthroughs in semiconductor technology. United States SEMI.org [email protected] America/Los_Angeles public America/Los_Angeles Watch On-DemandJoin us for an insightful webinar as we present the findings from the 2025 Semiconductor Supply Chain Survey, a collaborative effort between the SEMI Supply Chain Management initiative and McKinsey & Company.
The annual survey aims to establish benchmarks for operational agility metrics, covering the entire value chain from material suppliers to OEMs, offering a comprehensive view of the landscape. New this year are additional insights on trends in LTAs and organizational supply chain management capabilities
During this webinar, we will share results from the survey uncovering key trends, challenges, and opportunities within the semiconductor supply chain. By attending, you'll gain valuable insights to benchmark your organization against peers, identify areas for improvement, and course-correct more effectively. Please contact us if you like to learn about how your company can participate in the SCM initiative.
United States
SCMJoin us for a webinar highlighting the 2025 Semiconductor Supply Chain Survey results, conducted by SEMI SCM initiative and McKinsey & Company. Gain fresh insights into operational agility, LTAs, and SCM capabilities across the value chain. Discover key trends, challenges, and opportunities to benchmark your organization and strengthen supply chain resilience.
Choose your session:
- US/EU: 9:00 AM – 10:00 AM PT [ Register Now ]
- Asia/US: 5:00 PM – 6:00 PM PT [ Register Now ]
Speakers
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| Henry Marcil Partner McKinsey & Company Bio: Leader in McKinsey’s Advanced Industries Practice, focused on semiconductors n and key end markets (e.g., high tech) Leads McKinsey’s Resiliency and Geopolitics service line in Semiconductor |
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| Kushal Jolapara Engagement Manager McKinsey & Company Bio: Manager in McKinsey's Operations practice, with a focus on product development and procurement service lines Leads Supply Chain studies for Advanced Industries clients including Aerospace, Auto and Semiconductors |
![]() | Dan Peacock Engagement Manager McKinsey & Company Bio: Manager in McKinsey’s Operations Practice, focused on procurement and capital projects Leads Operations projects at Foundries, IDMs, and equipment clients |
Event Contact:
Krish Dharma
Agenda
• Lead times throughout the semiconductor value chain
• Landscape and trends in purchasing agreements and LTAs
• Demand forecasts, backlogs, and end markets
• Market outlook, opportunities, and threats
• New for 2025: Organizational capabilities in supply chain management
This event is over. Contact Laura Nguyen for additional information.
To access the recording, when available it will be posted here: https://semi.huihuidehui.workers.dev/en/products-services/standards/step
Overview
The IRDS Roadmap has identified near-term challenges related to measurements of particles, trace metals and organics in liquid chemicals at levels required to meet the needs of the industry. The identified challenges are measurement of 10 nm and smaller particles, sub ppt measurement of metallic impurities, measurement of particle precursors and trace organics and online speciation of trace organics. The focus of the workshop will be on recent advances in analytical methodology and instrumentation that will enable the industry to meet these challenges.
In-Person—Mountain Time
Phoenix Convention Center
North Building, 200 Level, Room 229B
Phoenix, AZ
United States
Chemical Quality and Consistency Requirements for the Semiconductor Industry
Analysis of Challenging Semiconductor Chemicals by ICP-MS
Addressing IRDS Yield Enhancement Challenges in Liquid Chemical Metrology
Metrology for Detection of Particle Precursor and Sub-10 nm Particles In Liquids and On-Wafer
Identification of Organic Particle Precursors using FTIR-ATR, SERS and AFM-IR
Closing Remarks
SEMI Analytical Workshop
9:00 am - 11:30 am Off Add to Calendar 2025-10-08 09:00:00 2025-10-08 11:30:00 SEMI Liquid Chemicals Analytical Workshop SEMI Analytical Workshop In-Person—Mountain Time Phoenix Convention Center North Building, 200 Level, Room 229B Phoenix, AZ United States SEMI.org [email protected] America/Los_Angeles publicThis event is over. Contact Laura Nguyen for additional information.
To access the recording, when available it will be posted here: https://semi.huihuidehui.workers.dev/en/products-services/standards/step
Overview
Since 2018, the SEMI Voltage Sag Task Force—comprising Fabs, Utilities, OEMs, Tool Suppliers, and EPRI—has collaborated to address a persistent challenge: why do tools remain vulnerable to voltage sags despite the implementation of SEMI F47?
Over seven years, the task force has investigated the power quality environment, tool susceptibility, testing methodologies, and mitigation strategies. This deep dive has led to actionable recommendations for strengthening the SEMI F47 standard and improving tool resilience in future builds.
What to Expect
Join us for a comprehensive workshop that will:
- Review the task force’s findings and collaborative efforts
- Share insights from key stakeholders
- Present proposed revisions to the SEMI F47 standard
- Discuss how these updates can enhance tool performance and reliability
In-Person—Mountain Time
Phoenix Convention Center
North Building, 200 Level, Room 229B
Phoenix, AZ
United States
SEMI F47 Background & Voltage Sag Immunity Task Force Review
Biography
Mark will present the background of the 7-year effort, the findings from the work , proposed updates and pathways towards improvements and will close out with a summary and next steps.
Baselining PQ Data from Semiconductor Fabs
Insights from Global Foundries
Biography
Zack will present on Global Foundries experiences with semiconductor tool shutdowns, efforts toward improvement and the types of voltage sags that are still causing tool downtime.
Experiences from National Grid
Biography
Clay will discuss the power quality environment, relay concepts such as area of vulnerability, and the need for including some level of three-phase voltage sag testing.
Key Findings from Research and Testing
Proposed Updates to the SEMI F47 Standard from Task Force Work
Facilities Korea TC Chapter Input
Voltage Sag Generator Readiness
Summary and Next Steps
Enhancing Voltage Sag Immunity: SEMI F47 Standard Updates & Insights Workshop
This is a must-attend session for professionals involved in semiconductor manufacturing, power quality engineering, and equipment design.
2:30 pm - 4:30 pm Off Add to Calendar 2025-10-08 14:30:00 2025-10-08 16:30:00 Enhancing Voltage Sag Immunity: SEMI F47 Standard Updates & Insights Workshop Enhancing Voltage Sag Immunity: SEMI F47 Standard Updates & Insights WorkshopThis is a must-attend session for professionals involved in semiconductor manufacturing, power quality engineering, and equipment design. In-Person—Mountain Time Phoenix Convention Center North Building, 200 Level, Room 229B Phoenix, AZ United States SEMI.org [email protected] America/Los_Angeles publicPhoenix, AZ
United States


