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COVID-19 has had an impact on the entire healthcare market. During the peak of the first wave, companies from the industrial and automotive sectors worked on repurposing their sensors and production lines to provide pressure sensors for respirators and temperature sensors for thermometers. At the same time, companies making sensors for wearables and other mobile devices used for remote monitoring of patients experienced saw increased demand, caused in part by the surge in telemedicine worldwide. In addition, strong demand for COVID-19 tests pushed diagnostic players to repurpose existing systems to detect the SARS-CoV-2 virus or associated antibodies. Over the past six months in particular, numerous microfluidic technologies have enabled either rapid point-of-care tests or high-throughput solutions for central labs. The demand for these tests is incredibly high (millions of tests per month are needed), which has contributed to boosting the revenue of many companies in the respiratory-testing area.These respiratory-testing companies have placed many testing machines at existing and new customer sites, and have sold an impressive number of test kits resulting in an initial revenue spike in Q1 2020, and even higher spikes in Q2 and Q3. This growth seems on track to last into early 2021 and beyond as the pandemic continues, the flu season arrives, and health organizations test increasingly higher numbers of people than they were several months ago. The winners in respiratory testing include Abbott, bioMérieux, Cepheid, GenMark and Luminex, among many others. In this context, Yole expects the point-of-care segment of the microfluidic product market to enjoy an impressive jump from US$4.5 billion in 2019 to US$6.3 billion in 2020, growing at 15.1% CAGR between 2019 and 2025 to reach $10.4 billion in 2025. This represents 40% of the total microfluidic product market in 2019.In its research on microfluidics, Yole tracks a wide range of COVID-19 tests from different companies. The tests are used to meet different needs. Evolution of COVID-19 TestingNo doubt this increased production of tests will be especially useful for the upcoming flu season. But what will happen next year, if (we hope) reliable COVID-19 vaccines are validated and marketed, and the new coronavirus eventually disappears? Will diagnostic companies’ sales fall to pre-pandemic levels, and all these investments in production lines be wasted? Don’t worry. This is not a one-shot deal: Once the pandemic is over, most testing machines will remain in place, and customers will use them to run other tests the companies offer – usually for other kind of infectious diseases – driving sales of single-use disposables in coming years. The pandemic has shown us that more efficient diagnostic tools are required. Rapid, inexpensive, widely accessible testing for infectious diseases is crucial if we are to face such challenging situations. The real struggle for diagnostic companies, especially in the field of microfluidics where recent platforms have a small assay menu, is placing instruments (i.e., the test machines that run the disposable cartridges and read the results) at customers’ locations, from hospital settings and urgent care to field testing sites, and this has now been achieved. This will drive consumables sales in the future, even beyond the pandemic, and take the microfluidic-based point-of-care testing market to the next level. Rapid point-of-care testing is driving growth in microfluidics and will continue to do so for years to come. In the meantime, new significant opportunities are opening for point-of-care diagnostic test-makers, and rapid, miniaturized microfluidic technologies may be the winners here. Rapid passenger screening in airports, and rapid employee or visitor screening at the workplace will become essential for preventing the virus’ spread. In total, this could represent billions of rapid tests needed per year. COVID-19 has slowed down business growth in many areas but has really helped microfluidic-based point-of-care diagnostics take it to the next level, and this is only the beginning.For more information on Yole’s microfluidics activities, please view Yole’s reports, Point of Need 2020 – Including PCR-Based Testing or Status of Microfluidics Industry 2020 or visit i-Micronews.comYole Développement is a member of SEMI and the MEMS Sensors Industry Group (MSIG), a SEMI technology community that connects the MEMS and sensors supply network in established and emerging markets enabling members to grow and prosper. Visit us today. Sébastien Clerc is a technology and market analyst in Microfluidics, Sensing Actuating at Yole Développement (Yole). As part of the Photonics Sensing team, Clerc has authored a collection of market and technology reports dedicated to microfluidics and other micro-devices for major market segments: medical (including diagnostics, pharmaceutical, biotechnology, drug delivery, medical devices) and industrial (including environment, agro-food). At the same time, he is involved in custom projects such as strategic marketing, technology scouting, and technology evaluation to help academic and industrial players in their innovation processes. Thanks to his technology and market expertise, Clerc has spoken in more than 20 industry conferences worldwide over the last four years. Clerc holds a master’s degree in Biomedical Technologies and a master’s degree in Innovation and Technology Management, both from Grenoble Institute of Technology (Grenoble INP - Grenoble, France).
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Part 2 of 2-part series on MSEC 2019 highlights. Read Part 1. Neural Networks on ChipTo be sure, low power is king when bringing machine learning to the sensor edge. Battery-powered, always-on sensing devices require it since frequent recharging is the death knell of any electronic product. That’s why semiconductor companies are offering new ways to conserve power.“MEMS sensor suppliers have made significant strides in the power, size and performance of their devices,” said Aspinity CEO Tom Doyle. “Yet these gains deliver only incremental power improvements to the system.”Doyle advocates a new architectural model that uses an analog neuromorphic processor to analyze all sensor data at the start of the signal chain instead of sending it downstream so power-hungry chips such as DSPs can digitize it before analysis.“The technology industry wants to take advantage of the many benefits of always-on sensing applications,” said Doyle. “Before we can reach mass proliferation, however, we need to resolve the power issues that are deal-breakers for some applications. We believe the answer to this challenge is architectural. All the data gathered by always-on sensing systems is analog in nature, yet as soon as it’s captured, it’s digitized immediately for analysis. Determining which data is important up front eliminates the digitization and processing of irrelevant data so that voice-first devices such as smart speakers and wearables/hearables can run for long periods of time without requiring battery recharge.”Syntiant CTO Jeremy Holleman agreed that on-device intelligence is the future.“Did you just fall? Is your heartrate a bit off? Deep learning provides a toolset that yields vastly superior decisions,” said Holleman. “The problem is that deep learning is computationally intensive. The answer is a neural network that performs on-device edge inferencing.”Holleman added that Syntiant’s neural decision processor was recently certified as Amazon Voice Service (AVS)-compliant for wake-word detection, making it easier to design voice control in battery-powered devices such as earbuds and wearables.MSEC Technology Showcase WinnerWith the groundswell of interest in intelligence at the edge, it was no surprise that Cartesiam won top honors among all competitors in the MSEC Technology Showcase for its NanoEdge AI, software that brings AI to the edge of the signal chain, making it easier for designers to create intelligent objects that can learn and understand.“Unlike other AI algorithmic technologies for sensing devices, NanoEdge enables both learning and inference at the edge, providing accurate and adaptive intelligence,” said Cartesiam Managing Director and Co-founder Marc Dupaquier, who accepted the award. “It’s also the only tool of its kind that does not require data scientists on board for implementation, which saves a tremendous amount of money. Our clients can build a machine learning library and embed it into their own code within weeks to realize the same caliber of unsupervised neural network that was once the exclusive domain of AI cloud vendors.”MSIG 2019 Hall of FameAt this year’s conference, MSIG Director Carmelo Sansone recognized two longtime contributors to the commercialization of MEMS and sensors: Peter G. Hartwell, Ph.D., chief technology officer at InvenSense, a TDK group company; and Thomas Kenny, professor and senior associate dean of engineering at Stanford University.Hartwell leads technology strategy and the InvenSense advanced technology research group. He has more than 25 years’ experience commercializing silicon MEMS products, including advanced sensors and actuators, and developing MEMS testing techniques.Kenny’s academic accomplishments include authoring or co-authoring more than 250 scientific papers and holding 50 issued patents. He has also advised more than 50 graduated Ph.D. students from Stanford.MSEC 2020Mark your calendar for next year’s MSEC, October 12-14, at Coronado Island Marriott Resort Spa in Coronado, Calif. Get updates from MSIG on MSEC and other upcoming events including MSTC 2020.Stay in Touch with MSIGMEMS Sensors Industry Group (MSIG), a SEMI Strategic Association Partner, is the industry association representing the global MEMS and sensors supply chain. To learn how MSIG enables professionals in the MEMS and sensors industry to innovate, address common challenges and accelerate business results, visit us today.Connect with MSIG on Twitter and LinkedIn. Subscribe to SEMI Blog: Technology and Trends.Maria Vetrano is a public relations consultant at SEMI.
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Part of 1 of 2-part series on MSEC 2019 highlights. Read Part 2. MEMS and sensors are proliferating across consumer, automotive, biomedical/healthcare, robotics, industrial and agriculture applications to harvest sensory data in a hyper-connected world and meet demand from consumers and organizations alike as they clamor for more intelligence in electronics.Take the ubiquitous iPhone. Shipped in 2007, Apple’s first iPhone sported five sensors. By contrast, the most feature-packed smartphones will embed up to 20 sensors by 2021, according to Yole Développement’s Jérôme Azémar. He estimates that the devices will feature four MEMS microphones, four CMOS image sensors (CIS), a RGB color sensor, a laser rangefinder, an infrared sensor, a gas sensor, a heart rate monitor and a fingerprint sensor, not to mention the MEMS inertial sensors that device users have come to know and trust.The MEMS market is expected to reach $18.5 billion in 2024 [1], up a whopping 60 percent from $11.6 billion in 2018, according to Azémar, who presented at MEMS Sensors Industry Group’s 15th annual MEMS Sensors Executive Congress (MSEC) in late October in Coronado, Calif. Add other types of sensors to the mix – CIS, environmental sensors, LiDARs, radars, ultrasonics, and fingerprint sensors – and the market will mushroom to $93 billion by 2024, said Azémar.Since MEMS Sensors Industry Group (MSIG) joined SEMI as a Strategic Association Partner three years ago, SEMI has expanded its MEMS and sensors programs to Europe and Asia while continuing to grow its U.S. conferences. “SEMI is continually investing in MEMS and sensors innovation across the supply chain,” said Dave Anderson, president of SEMI Americas and host of MSEC. “For example, MSIG is contributing to the development of the Heterogeneous Integration Roadmap, an initiative designed to drive heterogeneous integration technology development and accelerate electronics innovation. The roadmap spans device design, test and fabrication, ecosystem development, R D, equipment and materials. “At MSEC, executives and other speakers explored how AI and blockchain are remaking the food supply chain, air transportation and other sectors as MEMS and sensors improve the quality of our lives,” said Anderson.Sensing at the EdgeThe concept of artificial intelligence (AI), that a machine can harness intelligence that rivals or outperforms humans – and act without human intervention – has been a feature of the human imagination since at least the 1968 film 2001: A Space Odyssey. MEMS and sensors facilitate intelligence in a wide range of electronics such as smartphones, healthcare wearables, robots, industrial predictive maintenance systems, and cars. AI is sure to augment that functionality.MEMS and sensors are now in their third wave of evolution, a focus on edge AI, Bosch Sensortec CEO and General Manager Stefan Finkbeiner told MSEC attendees. For its part, Bosch is working to add AI to MEMS devices. The first wave integrated software with MEMS sensors, and the second, sensor fusion, enabled designers to allocate performance and power strategically to tune MEMS for resource-constrained devices. The third wave is “an active-learning phase in which MEMS facilitates real-time learning at the edge to promote greater personalization, environmental feedback, privacy of user data and improved battery life,” said Finkbeiner.Small sensor nodes with edge AI exemplify third-wave applications. Integrating low-power environmental sensors (e.g., gas, temperature, pressure, humidity and air-flow sensors), the nodes could be deployed in fire-prone forests to assess fire risk and support early detection. Access to this real-time environmental information could prove invaluable to residents and public-safety personnel alike.Google takes another tack, applying machine learning to resource-constrained devices, said Nick Kreeger, a senior software engineer at the Internet giant. The company’s Google Brain creates machine learning models that can run on inexpensive, low-power microcontrollers using Google’s TensorFlow Lite, an open-source machine learning tool that’s been deployed on a multitude of mobile devices. Inferencing is done at the device’s edge, rather than transmitted to the cloud.Meeting the power constraints of battery-powered sensing devices is another matter that starts with minimizing energy and data waste. “Deep learning is compute-bound and runs well on existing microcontrollers,” Kreeger said. “Because it’s all arithmetic, it’s low-power compared to storage access.”Already Google has worked with Plant Village, a research unit at Penn State University, and the International Institute of Tropical Agriculture (IITA) to help farmers improve food production by using machine learning and cheap sensors to spot and manage planet diseases in developing countries. And that production chain is in dire need of a boost, according to Rajendra Rao, general manager of IBM Food Trust, an enterprise-class blockchain solution.“We are on the cusp of complete failure of the food system,” Rao said. “One out of 10 people gets sick each year from foodborne illness, 420,000 die from this annually, 80 percent of companies in the food supply chain have not digitized, one-third of all fresh food in the US is thrown away, and one in five seafood samples worldwide is mislabeled.”IBM Food Trust’s work with Sucafina, which manages a global green coffee supply chain, shows how sensors can trace food from the farm to the processing plant to the consumer. With the IBM Food Trust platform, Sucafina can track the origin of the beans used in a cup of coffee – a competitive differentiator to coffee drinkers eager to support fair-trade coffee roasters.ripe.io, one of Forbes’ 25 most innovative AgTech startups, is also tackling the challenges and complexities of the food supply chain.“Our secure blockchain platform creates a digital twin of food items, transparently aggregating foods’ journey in real-time, to provide a harmonized trustworthy platform for multiple stakeholders,” said Rachel Gabato, the company’s COO. The ripe.io blockchain-based platform collects data from various sensors – temperature, pressure, light, humidity and inertial MEMS sensors. Growers, distributors and end customers including sweetgreen – a U.S. restaurant chain that depends on fresh produce – use the information to trace the origin and quality of food.MSEC 2020Mark your calendar for next year’s MSEC, October 12-14, at Coronado Island Marriott Resort Spa in Coronado, Calif. Get updates from MSIG on MSEC and other upcoming events including MSTC 2020.Stay in Touch with MSIGMEMS Sensors Industry Group (MSIG), a SEMI Strategic Association Partner, is the industry association representing the global MEMS and sensors supply chain. To learn how MSIG enables professionals in the MEMS and sensors industry to innovate, address common challenges and accelerate business results, visit us today.Connect with MSIG on Twitter and LinkedIn. Subscribe to SEMI Blog: Technology and Trends.[1] Source: Status of the MEMS Industry report, Yole Développement, 2019Maria Vetrano is a public relations consultant at SEMI.
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The microelectronics industry is entering the era of Cloud Engineering Simulation to slash the costs and risks of new technology development and speed time-to-market in spaces like semiconductors, MEMS sensors, RF front ends, biomedical and driverless cars. In the run-up to SEMICON Europa, 12-15 November, 2019, in Munich, Germany, SEMI spoke with Ian Campbell, CEO of OnScale, about the new paradigm of Cloud Engineering Simulation. Campbell shared his views ahead of the SMART Design Forum, 14 November, 2019, 14:30 to 17:00, in Hall B1, TechARENA 1 at SEMICON Europa. Registration is open. Join the forum to meet experts from OnScale and other key industry influencers. Attendance is free of charge for all SEMICON Europa visitors.SEMI: How did your adventure with OnScale start?Campbell: I’m an engineer. When I was still in high school, I took a night class at Nashville Tech to learn AutoCAD R14, and I’ve been designing and engineering things ever since. I was introduced to Desktop Simulation in my bachelors of mechanical engineering program and used many types of simulation tools for massive design studies at the Aerospace Systems Design Lab at Georgia Tech. I’m a simulation junkie.I started my first Silicon Valley high-tech company, NextInput, in 2012 with Dr. Ryan Diestelhorst (now VP of Strategy at OnScale), to commercialize new ForceTouch and 3D Touch technologies based on our patented MEMS force sensors. At NextInput, we bought hundreds of thousands of dollars of engineering software, but were always frustrated by slow, inaccurate engineering simulation results. We dreamed about running massive simulations on Cloud Supercomputers and creating true Digital Prototypes that could replace costly, time-consuming, and risky physical prototypes.When I got the chance to join the team that became OnScale in 2017, I jumped at the opportunity. At OnScale, we took engineering simulation solvers that had been developed for the U.S. military to run on U.S. Department of Defense and DARPA supercomputers and built a cloud supercomputer platform on Amazon Web Services to run the solvers. The net-net is the world’s first on-demand, infinitely scalable Cloud Engineering Simulation platform. Now, we routinely run massive multi-billion degree of freedom simulations for Fortune 100 companies, including many from the semiconductor and MEMS industries. Since our business model is to charge per core-hour for simulations, the incredible capability we built is cost-effective and available to small startups as well. SEMI: How is the semiconductor design ecosystem evolving? How is Cloud Engineering Simulation applied to semiconductor and design industries?Campbell: The entire industry is experiencing a massive acceleration in product launch cycles and increased competition. New markets like IoT and 5G are reducing semi/MEMS product cycles from years to months. That, in turn, puts enormous pressure on semiconductor and MEMS designers. Missing a key product introduction like a flagship smartphone launch can literally make or break a company.A reliance on traditional engineering methods – schematic capture and layout of a chip, taping out (physically prototyping the chip), performing engineering validation on an e-bench, qualifying the chip (or not qualifying it and going back to the drawing board), and finally launching mass production – is no longer sustainable from a competitive perspective.Instead, market-leading firms are turning to Cloud Engineering Simulation and Digital Prototypes to explore massive design spaces, find optimum designs that beat the competition in every KPI (size, power, performance), and digitally qualify designs before ever cutting silicon, ensuring that designs are robust over their intended operating environments and performance envelopes. Large thermal analysis of a chip on a circuit board executed quickly on the OnScale Cloud Simulation Platform SEMI: Can you give us an example? Campbell: A great example is thermal analysis. Thermal effects have always had huge impacts on MEMS device performance and, more recently, they are beginning to impact performance of next-gen semiconductors, especially GaN power electronics for electric vehicles (EVs).Conducting a full system-level thermal analysis of something like an EV power management system – a power IC in a package, on a board, in an enclosure, under various loading conditions – has been a challenge from a simulation complexity perspective (degrees of freedom) and from a parametric sweep perspective (running hundreds or thousands of simulations to optimize chip placement, routing, etc.). To run these sets of simulations using legacy desktop simulation would take weeks, perhaps even a month or more. To run these massive simulations in parallel on cloud supercomputers using OnScale takes days or even hours.Our customers routinely run very large simulation studies on OnScale Cloud for thermal simulations, RF filter simulations, MEMS simulations, packaging simulations (what we call Digital Qualification), and many more use cases.SEMI: What’s one of your strategic objectives for 2020? Campbell: For 2020, we’re doubling down on MEMS and semi simulation capabilities. We will be launching additional solver capabilities like EM that will be critical in our strategic markets like 5G. We will also be launching a Cloud API so that engineers can integrate OnScale directly into their existing engineering workflows (e.g. MATLAB or EDA/CAD tools) with just a few Python commands.SEMI: Can you share one prediction for the future of semiconductor design solutions? share?Campbell: I think we will continue to see MEMS and semi designers push the envelope and bring smaller, more performant, more cost-effective solutions to market. I’d like to see more highly cost-effective flexible semi/MEMS designs come to market to enable next-gen IoT and IIoT applications. I’d also like to see more biomedical applications – biomems, microfluidics, and labs on a chip for all sorts of life-enhancing applications.SEMI: What are your expectations regarding the SMART Design Forum at SEMICON Europa 2019 in Munich? Campbell: I’m looking forward to getting back to my roots in MEMS/semi design and chatting with other designers about the future of engineering and the future of semi! Ian Campbell is a twice venture-backed Silicon Valley CEO and expert in MEMS sensors, semiconductor technology, and engineering software. Most recently, Ian co-founded OnScale, a Cloud Engineering Simulation startup backed by Intel Capital and Google’s Gradient Ventures. OnScale is revolutionizing engineering by combining world-class multiphysics solvers with Cloud supercomputers, machine learning, and artificial intelligence. Prior to co-founding OnScale, Campbell served as founder and CEO of NextInput, where he led the startup through multiple rounds of funding – totaling $12 million and an additional $4 million in research contracts with government and industry partners – and built a world-class team of engineers and scientists who developed 3D Touch and ForceTouch technologies for smartphones, wearables, industrial, and automotive interface applications. He also secured the first major smartphone OEM design wins in Asia. Campbell earned his B.S. in mechanical engineering from Middle Tennessee State University, and his MSAE in aerospace engineering and MBA from Georgia Institute of Technology.Serena Brischetto is senior manager, marketing and communications, at SEMI Europe.
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According to market research and strategy consulting firm Yole Développement (Yole), the total market size of MEMS, sensors and actuators will double from $48 billion in 2018 to $93 billion in 2024.[i] The consumer market will continue to drive volume, with applications such as smartphones making up for in volume what they lack in average selling price (ASP). Stronger demand in automotive, biomedical/health, industrial, and voice-first applications (such as smart speakers) will support this upward trajectory. With so much growth ahead of us, how will the design and manufacture of MEMS keep pace with industry demand for higher levels of innovation and integration, lower cost and lower power, smaller footprints, and faster design cycles — all while meeting acceptable price points?We turned to a handful of MEMS manufacturing experts from SEMI-MSIG who will join us at SEMICON West 2019, July 9-11 at the Moscone Center in San Francisco, to explore the complexities of keeping pace with market demand for MEMS over the next decade.Address the Design GapMentor GM, ICDS Division Greg Lebsack and SoftMEMS President Mary Ann Maher see tremendous progress in the manufacturing supply chain for MEMS. At the same time, they acknowledge the significant gap that still exists in design capability for creating the billions of interconnected sensors required for future applications. Greg and Mary Ann will dive into the standards, ecosystem requirements and collaborative design solutions that will allow the micro-sensors industry to meet demand for next-generation wearables, Internet of Things (IoT) products and medical devices.Get Collaborative with Greg and Mary Ann: Addressing the Design Gap to Enable Next Generation Sensor-Based Products, SEMICON West, TechTALKS South, Thursday, July 11, 2019, 10:35-11:00 a.m. Register today.Get to a Really Big NumberFrom thousands of sensors and actuators in a single airplane to hundreds in a single car or a piece of factory equipment to the twenty-plus that ship in each of the hundreds of millions of the world’s smartphones, we aren’t even close to reaching the saturation point for these intelligent devices. SPTS Technologies EVP GM David Butler isn’t living on the Spaceship Enterprise (or the Millenium Falcon, come to think of it) when he says that we are going to get to a trillion sensors. It is going to happen. The questions are: how and when?Connect with David: Enabling the Age of a Trillion Sensors, SEMICON West, TechTALKS South, Thursday, July 11, 2019, 11:00-11:25 a.m. Register today.Shift to Automotive-GradeDemand for optical sensing technologies such as LIDAR is shifting sensor manufacturing requirements from consumer- to automotive-grade, with its enhanced lifetimes, temperature cycling and higher performance specifications. To meet demand, manufacturers are turning to wafer-level processing, since it complies with the hermetic sealing and dew-point control required for the more rigorous automotive-grade applications. EV Group Business Development Director Thomas Uhrmann, Ph.D., will provide an overview of the steps for manufacturing optical elements, including integration with CMOS circuitry, as he offers a window into the future of automotive packaging for sensors.Tune in with Thomas: Future Manufacturing Requirements for Automotive and Photonics Sensing, SEMICON West, TechTALKS South, Thursday, July 11, 2019, 11:25-11:50 a.m. Register today. Measure Twice, Cut OnceFaster time-to-market, improved device yield, and greater productivity in high-volume manufacturing are increasingly critical requirements for MEMS manufacturers. When a single manufacturing error can cost hundreds of thousands if not a million or more dollars — as well as months of development time — designers can save both time and cost by employing an integrated approach to MEMS design. Lam Research Sr. Director of Strategic Marketing David Haynes will explain how simulation, verification and process modeling can address MEMS-specific engineering challenges such as multi-physics interactions, process variations, MEMS + IC integration, and MEMS + package interaction. Using the right tools before committing to actual fabrication can make or break a project.Get Conceptual (and Practical) with David: Enabling Better MEMS from Concept to High-Volume Production, SEMICON West, TechTALKS South, Thursday, July 11, 2019, 11:50 a.m.-12:15 p.m. Register today.Navigate a Dynamic Foundry LandscapeWe’re still living in a one product-one process world when it comes to MEMS manufacturing. This makes bringing a new device to market both time-consuming and expensive. These challenges aside, the functional capabilities of MEMS, combined with small-footprint and low-power options, have made MEMS increasingly popular. How are market dynamics in MEMS manufacturing evolving to accommodate both demand for high-volume, lower-cost products such as MEMS microphones as well as high-value, lower-volume products such as biomedical devices, IoT products and industrial sensors? Rogue Valley Microdevices Founder CEO Jessica Gomez will explain how foundry consolidation through acquisition, collaboration with other ecosystem players, and specialization in vertical markets such as biomedical or optical are some of the approaches that are transforming the MEMS foundry landscape.Join the Evolution with Jessica: Consolidation, Collaboration, Specialization: How Will MEMS Fabs Manage Changing Dynamics, TechTALKS Stage South, Thursday, July 11, 2019, 12:15-12:40 p.m. Register today.i“Status of the MEMS Industry report,” Yole Développement (Yole), 2019 Edition.Maria Vetrano is a public relations consultant at SEMI.
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SEMI is excited to recognize Elizabeth Lee of X-Fab as the SEMI Spotlight on Women Honoree for Q2 2019!Spotlight on SEMI Women celebrates the many accomplished women who work in the global microelectronics industry. Nominees in the quarterly spotlight include women who are beacons of knowledge, leaders of organizations and initiatives, hidden heroes and innovators in our industry. They are volunteers, protectors, intellectual disruptors and activists. Learn how you can nominate a woman for Spotlight on SEMI Women.Elizabeth Lee has loved technology from a young age. As a child, Elizabeth once took apart a broken VHS player and managed to repair the device, armed with nothing but a few simple tools and a strong sense of curiosity. After her more than 15 years in the microelectronics industry, it’s clear that this love – along with Elizabeth’s drive, curiosity, and tenacity – has allowed her to thrive in her career and have a significant impact as a leader not only as a quality systems engineer at X-Fab but in her community.Growing up in a rural Texas town of fewer than 200 people, Elizabeth found opportunities to learn about STEM extremely limited. Although Elizabeth’s interest in technology started at a young age, her first real learning opportunity came during a high-school computer science class. Fascinated by the physics of how computers work, Elizabeth became inspired to pursue electrical engineering at Texas Tech University after graduation.Elizabeth’s transition to university life was difficult. She struggled to balance life as a young mother with her studies and became frustrated when she saw no career path to electrical engineering. During her junior year at Texas Tech, Elizabeth was ready to move into a different field and requested a transfer into civil engineering. Looking back, Elizabeth sees this moment as a crucial turning point in her life that would eventually propel her into the semiconductor industry. Her academic advisor, also a woman, denied the transfer request and pushed Elizabeth to remain in electrical engineering. The advisor also urged Elizabeth to expand her focus outside of academics and get hands-on experience through undergraduate research.Elizabeth acted on the advice and found herself performing research at the Texas Tech nanotech center. She also began volunteering with West Texas BEST – a high-school robotics program that engages students in STEM and semiconductor technologies.Elizabeth has now volunteered for BEST for more than 18 years. She has served on its computer game development board, helping to design games and create rules, and contributed as an author. Elizabeth also served on the South Plains chapter of IEEE as secretary of the board, vice chair, chair, and is now an advisor for the TTU IEEE student brand of WiE (Women in Engineering).She is also a member of the Industrial Advisory Board of the Electrical and Computer Engineering department at Texas Tech University and the Faculty/Staff committee chair. More recently, Elizabeth participated in SEMI High Tech U (HTU), a STEM immersion program for high-school students, and will serve as an emcee for the third time in an upcoming HTU program. Elizabeth graduated with a master’s from Texas Tech after her research in MEMS biomedical lab-on-a-chip and quantum mechanics evaluation of AIO2 tunnel junctions. In 2004, she began her journey with X-Fab, where her responsibilities have included sustaining legacy node silicon technologies and developing yield improvement analysis techniques in the areas of silicon and silicon carbide. She was awarded the Technical Ladder distinction of Principal Engineer in 2015.Today, Elizabeth has more than 15 years of experience in quality, yield improvement, and process integration, all areas that support X-Fab foundry customers with yield and failure investigations. In addition to her technical accomplishments, she represented X-Fab as a Value Promoter, introducing new X-Fab employees to its core values. Over the course of Elizabeth’s career at X-Fab, she has continued to lead key improvement initiatives and dedicate herself to her community.Cristina Sandoval is manager of Workforce Development at SEMI.
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