Pre-Conference Workshops
Held one day before the Sensors Converge Expo, these half-day workshops provide deep technical insight and hands-on discussion around emerging sensor technologies, AI, and advanced design methodologies.
Tuesday, May 5, 2026
Half-Day Workshop: Machine Learning for Calibration and Classification
Track: Edge, AI, and Data Analytics
Presented by Barry M. Wise, President & CEO, Eigenvector Research, Inc.
Workshop: 1:00 PM – 4:00 PM
Networking Roundtables: 4:00 PM – 5:00 PM
VIP Opening Night Reception: 5:00 PM
Location: Great America Ballroom
This hands-on workshop explores how machine learning techniques can be applied to sensor calibration, classification, and real-world data challenges. Attendees will gain practical insight into improving sensor performance, accuracy, and reliability using modern AI-driven approaches.
Designed for engineers, data scientists, and product developers working at the intersection of sensors and AI, this session bridges theory and application for real deployment scenarios.
Bridging Sensors and AI: Designing Intelligent Embedded Systems for Industry 4.0
Track: Edge, AI, and Data Analytics
Presented by Shivakumar Mathapathi, CTO, Xtrans Solutions
Workshop: 1:00 PM – 4:00 PM
Networking Roundtables: 4:00 PM – 5:00 PM
VIP Opening Night Reception: 5:00 PM
Location: Great America Ballroom
The rapid evolution of Industry 4.0 is transforming industrial systems through the integration of advanced sensing technologies, edge computing, and artificial intelligence. Sensors are no longer passive data collectors; when combined with embedded AI, they become intelligent systems capable of real-time perception, decision-making, and autonomous operation. However, many engineers and system designers face challenges in bridging the gap between sensor hardware, data processing pipelines, and deployable AI models within resource-constrained embedded environments.
This half-day workshop explores practical approaches to integrating sensors with AI to design intelligent embedded systems for modern industrial applications. Participants will gain insights into sensor selection and integration, edge AI architectures, data acquisition strategies, and machine learning deployment on embedded platforms. The workshop will highlight real-world use cases in predictive maintenance, industrial monitoring, robotics, and smart manufacturing.
Through expert presentations, hands-on demonstrations, and interactive discussions, attendees will learn best practices for building scalable sensor-AI pipelines—from raw data capture to actionable intelligence at the edge. Key topics include sensor fusion, TinyML and edge AI frameworks, low-power embedded design, real-time analytics, and system reliability in industrial environments.
Designed for engineers, researchers, technology and business leaders, this workshop aims to equip participants with the knowledge and tools needed to develop next-generation intelligent sensing systems that drive efficiency, automation, and innovation across Industry 4.0 ecosystems.
Register for an All-Access Pass to attend Pre-Conference Workshops.