Pre-Conference Workshops

Its never too early (or late) to begin preparing for your next steps. In this workshop series, we will offer key insights into how to begin to prepare for the next stage of your career. The content is specifically designed for students, postdoctoral researchers, and early industry professionals. The discussion will focus on both academic and industrial career paths, with the goal of providing you new insights and skills needed for success.

Artificial intelligence (AI) is becoming increasingly integrated into our daily lives. In particular, Deep Neural Networks (DNNs) are expected to merge with CMOS Image Sensors (CISs), which, soon, will open up a new era of smart, adaptive, and autonomous systems in various consumer electronics, such as smartphones, automotive technology, and augmented/virtual reality glasses.   

Ambient Internet of Things (AIoT) is set to transform how everyday objects interact with their environment. By integrating battery-free devices capable of sensing factors like location, temperature, and humidity, AIoT enables seamless data transmission through existing wireless infrastructure such as smartphones, smart appliances, and access points. This advancement opens new opportunities for industries like retail, healthcare, and logistics to scale efficiently. Additionally, the data generated by AIoT fuels AI applications, helping both businesses and consumers make smarter, data-driven decisions.

Emerging Trends in Chemical and Biochemical Sensors: Advances in MEMS, Electrochemical, Optical Platforms, and New Horizons in System Integration and AI/ML Data Analytics.

Micro Electro-Mechanical Systems (MEMS) are integral to a wide range of modern applications. This workshop focuses on a specific class of MEMS sensors—inertial measurement units (IMUs)—which are commonly found in consumer electronic devices, enabling functionalities such as motion detection, orientation tracking, and gesture recognition. Participants will have the opportunity to explore these sensors hands-on—either by using the inertial sensors in their own smartphones or tablets, or by experimenting with demo sensor boards provided during the workshop.