Workshops

  • Workshop Location:

    TBD

    Workshop Overview

    Website: For more details, please visit the workshop website: sites.google.com/utexas.edu/ieebsn-waire

    Workshop Overview: “The potential of energy harvesting and batteryless sensing promises a future where IoT devices will become sustainable, long-lasting, and maintenance free. Given the significant challenges involved with building and programming such devices, it is reasonable to question whether energy harvesting based IoT can replace existing wearables (fitness trackers, smartwatches, or medical devices), while providing a reliable user experience. Hence, an important question arises: “What role can energy harvesting based sensing play in the age of AI and deep learning?” While energy harvesting based sensors can unlock new applications in wearables and personalized data analytics, the path towards integrating them into the modern deep learning landscape requires substantial intellectual innovation. This workshop aims to bridge multiple perspectives in wearable sensing and data analytics in the modern age of AI.”

    Workshop Events:
    • Two keynote talks
    • Panel Discussion: “Challenges of Integrating AI with Energy Harvesting-Based Sensors for Wearable Health Applications”
    • Call for extended abstracts (presented as 10 minute “flash talks”)

    Keynote Speakers:
    • Radu Marculescu (The University of Texas at Austin)
    • Hiroki Matsutani (Keio University)

  • Workshop Location:

    TBD

    Workshop Overview:

    This workshop will explore the latest advancements in Body Sensor Networks (BSN) augmented with Machine Learning (ML) technologies, with a focus on healthcare and biomedical applications. It aims to highlight cutting-edge research and future directions in sensor development and system-level integration, along with ML-enhanced data handling and device control. The workshop will cover the following main topics:
    Device Development and Control: This segment will explore the advancement of skin-interfaced electronics, including mechano-acoustic sensors and haptic systems, that mimic human skin functions. It will discuss improvements in device control accuracy and data processing efficiency facilitated by ML applications.
    Biomechanics and Bioelectronics: Focusing on the complex interactions between device mechanics and skin biomechanics, this topic will cover the challenges and recent breakthroughs in integrating flexible electronics with human skin. Research on analytical, computational, and experimental approaches in biomechanics to better understand these interactions will be highlighted.
    Translation to Clinical Practice: The translation of BSN technologies into clinical settings will be discussed. It will include case studies and current examples of how these technologies are being used in disease diagnosis, treatment, and robotic prostheses, emphasizing the role of ML in enhancing clinical outcomes.

    Workshop Events:
    Session 1: Brief introduction to the Workshop theme (Hyoyoung Jeong)
    Session 2: Talk 1 (Ha Uk Chung) and Talk 2 (Hee-Sup Shin)
    Topic: ML-enhanced sensor development and system integration
    Session 3: Talk 3 (Raudel Avila) and Talk 4 (Jin Tae Jimmy Kim)
    Topic: ML-enhanced theoretical mechanics for bioelectronics
    Session 4: Talk 5 (Jae-Young Yoo) and Talk 6 (Andreas Tzavelis)
    Topic: Translation to clinical practice, focusing on ML-reinforced biopotential classification and diagnosis.
    Session 5: Closing remarks (Jin Tae Jimmy Kim)

    Speakers:
    Dr. Ha-Uk Chung, Co-founder and Chief Scientific Officer (CSO), Sibel Health Inc. Chicago, IL
    Prof. Hee-Sup Shin, Assistant Professor, Division of Energy, Matter and Systems, University of Missouri-Kansas City, Kansas City, MO
    Prof. Raudel Avila, Assistant Professor, Department of Mechanical Engineering, Rice University, Houston, TX
    Prof. Jin Tae Jimmy Kim, Assistant Professor, Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Korea
    Prof. Jae-Young Yoo, Assistant Professor, Department of Semiconductor Convergence Engineering, Sungkyunkwan University, Suwon, Korea
    Dr. Andreas Tzavelis, M.D./Ph.D Candidate, The Feinberg School of Medicine, Northwestern University, Chicago, IL

  • Workshop Location:

    TBD

    Workshop Overview

    We will focus our discussion on new applications and opportunities of wearable technology and soft actuators to patients relying on assistive care. Individuals in need of assistive care include elderly and handicapped people, patients in need of close medical monitoring, and mental health. Wearable technology and smart materials can promote functional capabilities to their needs, improving their quality of life. The application of on body sensors for assistive care brings new insights and advancement to the field while promoting inclusiveness, fairness, and equality for under-represented and under-served communities in digital health technologies and studies. In this workshop experts will present the possible applications of wearable devices and soft robotic technology for assistive care, including (i) biosensors for health monitoring and early detection of diseases, (ii) bionic machines and bioelectronics for human enhancement and assistance, and (iii) machine learning for real-time feedback and big data analysis. In addition, we will discuss the main challenges and gaps for seamless integration of assistive devices and wearable technologies with further opportunities in the field.

    Speakers:
    Prof Conor Walsh (Wyss Institute at Harvard University): Human augmenting assistive devices
    Prof Heinrich M. Jaeger (The University of Chicago): Soft actuators fabrication and application for assistive devices
    Prof Hananeh Esmailbeigi (University of Illinois at Chicago): Wearable sensors as rehabilitation and assistive device.