CAM-Workshop Program 2026

Day 1 (19 May 2026)

Session A: 3D Heterogeneous Integration

09:00 – 09:20 Frank Altmann Fraunhofer IMWS (DE) Welcome
09:20 – 10:00 Ping-Yi Hsieh  imec (BE) Keynote: Reliability challenges of Silicon Photonic devices and its related Failure Analysis challenges
10:00 – 10:40 Przemyslaw Jakub Gromala Robert Bosch GmbH (DE) Keynote: AI/ML-Driven Paradigms for Heterogeneous Integration: Digital Twin, Intelligent Reliability and Failure Analysis

Session A (continued): 3D Heterogeneous Integration

11:00 – 11:20 Christopher Benndorf Fraunhofer IMWS (DE) Defect characterization of hybrid bonded systems
11:20 – 11:40 Sergii Gudyriev XFAB (DE) NN
11:40 – 12:00 Ryan Sweeney Global Foundries (US) Failure Analysis Techniques and Lab Requirements for Silicon Photonics Fault Isolation
12:00 – 12:20 Lukas Uhlig Fraunhofer ENAS (DE) Characterization and test of photonic components in micro systems

Session B: Wide Bandgap Technologies

15:40 – 16:20 Vincent Gambin Northrop Grumman Corporation (US) Keynote: Development of next-generation UWBG electronics for high-reliability industry applications
16:20 – 16:40 Matthias Mühle Fraunhofer CMW (US) Diamond-based technologies for active device and thermal cooling integration
16:40 – 17:00 Mervi Paulasto-Kroeckel

Marek Patocka

Aalto University (FI) Materials and Device Challenges of UWBG AlN/AlGaN for Power Electronics
17:00 – 17:20 Martin Čalkovský Thermo Fisher Scientific Brno (CZ) Revelios: Semi-automated, non-destructive crystalline defect metrology for GaN based epitaxial layers

Social Events

17:20 – 18:00 Drinks Reception in the exhibition area
18:00 – 22:00 Networking Dinner in der gardens 

Day 2 (20. May 2026)

Session C: Tutorial

08:00 – 09:00 Sebastian Brand Fraunhofer IMWS (DE) Defect localization by Acoustic Microscopy

Session D: Advanced Failure Analyse Techniques

Session E: Artificial Intelligence and Digitalization

13:40 – 14:00 Rik Otte NXP (NL) None-destructive AI supported crack length measurements for physics of degradation modeling in BGA packages
14:00 – 14:20 Lorenz Heinemann Fraunhofer IMWS (DE) Noise in SAM Data: When Similar Signals Lead to Different Diagnoses
14:20 – 14:40 Bernhard Fichtl  Carl Zeiss Microscopy GmbH (DE) Exploring the value of instance segmentation & other AI methods for Failure Analysis
14:40 – 15:00 Michael Fritzsche GlobalFoundries Fab1 (DE) Integrated Digital Workflows for Accelerated Failure Analysis and Enhanced Yield Learning in Semiconductor Manufacturing
15:00 – 15:20 Amit Choudhary Matworks GmbH (DE) Accelerating and standardization of failure analysis through digital workflows and machine learning