Plenary Speakers

MEMS: DRIVING INNOVATION FOR OVER 40 YEARS
Emma Abel
Robert Bosch GmbH, GERMANY
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I will discuss how drivers such as signal performance, miniaturization and integration have pushed the MEMS Industry to innovate not just in designs but also in processes.
I will show examples from a wide variety of applications, starting with Accelerometers for Airbag and coming right up to date with microfluidic applications for medical analytics.

HIGH-RESOLUTION PRINTING FOR ON-DEMAND FABRICATION OF HYBRID ELECTRONIC SYSTEMS
Kira Barton
University of Michigan, USA
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High-resolution printing techniques are emerging as cost-effective, flexible alternatives to traditional photolithography-based, monolithic microelectronics fabrication processes. By enabling on-demand, direct patterning of functional materials for device fabrication, interconnect formation, and system-level packaging, these approaches are enabling a paradigm shift toward modular and hybrid integration strategies. This shift facilitates the creation of compact, reconfigurable, and application-specific electronic systems by interconnecting heterogeneous components fabricated through disparate processes.
While techniques such as inkjet and electrohydrodynamic jet (e-jet) printing have demonstrated submicron feature resolution, their implementation in functional circuit fabrication remains limited by practical challenges. These include sensitivity to nozzle condition, jetting dynamics, substrate wettability, and motion control limitations, all of which impact pattern fidelity and alignment. Moreover, the manipulation and placement of miniaturized components is inherently imprecise, necessitating adaptive patterning capabilities to ensure efficient wire routing and accurate terminal contact. Integration with discrete components also requires precise registration, consistent electrical connectivity, and robust adhesion, all of which are further complicated by geometric variability and surface nonuniformity. The electrical performance of printed interconnects is constrained by post-deposition processing, particularly sintering, which not only affects interface morphology and resistivity but also must be compatible with surrounding materials to avoid chemical or mechanical degradation.
To address these limitations, we present a process-aware, adaptive routing framework that leverages high-resolution e-jet printing for on-demand wiring of hybrid circuits. By systematically modeling the interdependencies among printing parameters, feature geometry, sintering conditions, and electrical resistivity, we demonstrate reliable patterning of conductive traces with linewidths as narrow as 300 nm, pitches down to 600 nm, and resistivity values as low as 3 × 10⁻⁶ Ω·cm. The routing system integrates component detection, path planning, and trajectory generation, embedding constraints related to interface geometry (e.g., contact angle, overlay count, through-connections), process stability (e.g., nozzle idle time, jet crosstalk), and stage kinematics.
We validate this methodology by fabricating logic circuits based on micromodular silicon n-channel MOSFETs, including transistor test structures and depletion-load NMOS inverters. The resulting circuits exhibit high device yield (82%), fast fabrication times (~30 s per circuit), and excellent electrical performance, including sub-1 V threshold voltages and electron mobilities exceeding 600 cm²/V·s. This work establishes a scalable and robust approach for integrating high-resolution additive manufacturing with modular microelectronics to enable hybrid electronic systems. These capabilities open new avenues for printed electronics across diverse applications, including wearable health monitors, reconfigurable sensor networks, and flexible logic circuits, where rapid prototyping, low material waste, and system-level adaptability are critical.

ULTRA LOW POWER SENSORS
Christofer Hierold
ETH Zurich, SWITZERLAND
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We present recent advancements in ultra-low-power (ULP) and zero-power sensor systems. Ultra-low-power capabilities of sensors represent an important goal for creating miniaturized, non-intrusive, autonomous, and widely deployable sensing solutions, particularly in situations where continuous power is unavailable, the required operational lifetime exceeds battery capacity, or routine battery replacement is impractical or too costly. Common applications include mobile devices, environmental monitoring, and remote infrastructure surveillance. We classify ULP sensors into two groups: low-power functional nanostructures used for sensing, and passive sensor concepts. Reducing power consumption in functional sensor materials typically involves running nanoscale devices at very low voltages and currents. As examples, we discuss suspended carbon-nanotube transistors as fundamental components for ULP sensors, as well as passive sensor concepts.

FROM HUMAN ORGAN CHIP MICROFLUIDIC MODELS TO MULTIPLEXED ELECTROCHEMICAL
Donald Ingber
Harvard University, USA
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Wyss Institute for Biologically Inspired Engineering at Harvard University; Vascular Biology Program, Boston Children's Hospital & Harvard Medical School; and Harvard John A. Paulsson School of Engineering & Applied Sciences
More than the 15 years ago, my team at the Wyss Institute for Biologically Inspired Engineering at Harvard University set out to develop a way to drastically decrease the high failure rate and associated costs that pharmaceutical and biotechnology companies face when they attempt to bring a drug through the development pipeline and obtain regulatory approval. As a major cause of failure is the inability of preclinical animal models to successfully predict drug efficacy and toxicities in humans, we set out to create an alternative. In this presentation, I will describe Organ-on-a-chip (Organ Chip) microfluidic devices lined with living human cells that form tissue-tissue interfaces, reconstitute vascular perfusion and organotypic mechanical cues, integrate immune cells, contain living microbiome, and recapitulate human organ-level physiology and pathophysiology with high fidelity. Work will be presented describing how single human Organ Chips and multi-organ human Body-on-Chips systems have been used to model complex diseases and rare genetic disorders, study host-microbiome interactions, both mimic and quantitatively predict drug pharmacokinetic and pharmacodynamic parameters, recapitulate whole body inter-organ physiology, and reproduce human clinical responses to drugs, radiation, toxins, and infectious pathogens. Results confirming that human Organ Chip models of drug-induced liver injury are significantly more accurate than animal models at predicting human toxicity responses will also be presented. However, the need to sense analytes in the small volume effluents of these chips also led to another technology innovation: multiplexed electrochemical sensors with reduced background and high sensitivity, which are now being applied for multiple clinical diagnostics applications. The results presented provide excellent examples of how approaches in microengineering can advance clinical medicine and improve healthcare.
Invited Speakers
Sarah Bergbreiter
Carnegie Mellon University, USA

Michelle Bourke
Lam Research, USA

HEADWAY IN MEMS DEVELOPMENT: A ROADMAP FOR MEMS WITH ILLUSTRATIONS IN MICROPHONE MEMS AND OPTOMECHANICAL SENSING
Pierre-Damien Berger
CEA-Leti, FRANCE
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The field of Microelectromechanical Systems (MEMS) has seen remarkable advancements over the past few decades, evolving from simple capacitive sensors in the 1980s to highly sensitive piezoresistive sensors today. This presentation will provide a comprehensive roadmap for the development of MEMS, focusing on innovative materials and sensing technologies. We will explore how these advancements are paving the way for next-generation MEMS devices, with a particular emphasis on microphone MEMS and optomechanical sensing.
Microphone MEMS: One of the key areas of focus is the development of high-performance microphone MEMS. Innovations such as the air-to-vacuum transducing mechanism and the use of vacuum cavities have significantly improved the signal-to-noise ratio (SNR) and robustness of MEMS microphones. These advancements enable MEMS microphones to achieve superior performance in various applications, from consumer electronics to industrial sensing.
Optomechanical Sensing: Another groundbreaking development is optomechanical sensing, which leverages light for motion detection. CEA-Leti's optomechanical sensor technology represents the next evolution of MEMS sensors, combining extreme sensitivity (femtometer detection), ultra-rapid response in the terahertz range, and superior integrability using proven 200 nm VLSI MEMS and photonic integrated circuit technologies. This new paradigm in sensing offers unprecedented performance for a variety of applications, including:
- Portable in-situ mass spectrometry with extreme sensitivity down to individual viruses and proteins for biological analysis and environmental monitoring.
- Biological sensing offering rapid biomarker detection and sensitivity down to single bacteria for diagnostics and water testing.
- Real-time atomic-force microscopy imaging approaching video-rate imaging for the observation of fast biological processes.
- Silicon clocks with quartz-like accuracy, offering native GHz-frequency clocks with no electronic multiplication for ultimate precision.
This presentation will provide a comprehensive overview of the latest advancements in MEMS technology, with a focus on microphone MEMS and optomechanical sensing. By highlighting the innovative work being done at CEA-Leti, we aim to illustrate the potential of MEMS for a wide range of applications and to pave the way for future developments in this exciting field.

BEYOND ACCURACY: ENABLING THE NEXT GENERATION OF HIGH‑PERFORMANCE INERTIAL MEMS WITH DESIGN INNOVATION, ADVANCED PROCESSING, AND AI/ML‑DRIVEN SYSTEM INTELLIGENCE
Sabah Sabah
Analog Devices, USA
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The next era of high‑performance IMUs will be defined not only by breakthroughs in MEMS process technology but also by embedding intelligence at every level, from device physics to system fusion. As materials, fabrication precision, and packaging architectures evolve, AI/ML will unlock new performance floors, new calibration and compensation capabilities, and ultimately new system‑level navigation solutions that move inertial MEMS decisively up the stack.