A Trip to the Neural Frontier: Neurosymbolic Sensor Fusion for Trustworthy AI-Enabled Neural Interventions

#mems #sensor #sensing #human-agumentation #cyber-physical-systems #humman-in-the-loop
Share

As neurotechnology advances, the integration of cyber-physical systems (CPS) with neural sensing is opening new frontiers in human augmentation, healthcare, and cognitive computing. However, these systems introduce new security, privacy, and resilience challenges that are often overlooked in traditional CPS security paradigms. This talk will explore the intersection of cyber-physical security and human-in-the-loop neural systems, drawing on recent work in neurosymbolic sensor fusion and real-time, multimodal sensing for closed-loop brain stimulation.

We will discuss ongoing research into real-world signal variability, synchronization challenges, privacy risks in shared environments, and adversarial threats to neural inference pipelines. Using deep brain stimulation (DBS) as a case study, we will examine how IoT-integrated neuroscience applications present novel attack surfaces and safety considerations that go beyond traditional CPS security models. We will also highlight our latest work on sensor-based privacy risks, the ethical considerations of AI-mediated neural interventions, and the challenge of aligning security and resilience frameworks with dynamic human behavior.


  Date and Time

  Location

  Hosts

  Registration


  • Date: 22 May 2025
  • Time: 01:50 AM UTC to 03:00 AM UTC
  • Add_To_Calendar_icon Add Event to Calendar
If you are not a robot, please complete the ReCAPTCHA to display virtual attendance info.
  • Contact Event Host
  • Starts 08 May 2025 03:00 PM UTC
  • Ends 22 May 2025 02:00 AM UTC
  • No Admission Charge

  Speakers

Luis Garcia of University of Utah Kahlert School of Computing

Biography:

Dr. Luis Garcia is an Assistant Professor at the University of Utah Kahlert School of Computing. His research is in the broad area of embedded and cyber-physical systems for applications in Industrial IoT, ubiquitous and mobile computing, and pervasive sensing and control. His current interests are in problems related to making these systems secure, privacy-aware, human-coupled, learning-enabled, wirelessly-networked, and energy-efficient. He leads multiple research projects modeling the security and safety of industrial control systems, high-fidelity cyber-physical security experimentation, and developing trustworthy medical IoT devices. More information about his research is available at his website: https://lagarcia.us.

Address:United States




Agenda

6:50 - 7 PM: Registration

7-8 PM: Talk and Q&A