Our Mission: Convert Smart Systems to WISE ones
Wireless Intelligent Sensor Electronics Lab
Targeted toward Wearable and Implantable Systems Engineering
— Aug 2023: Our paper on Bi-Phasic Quasistatic Brain Communication for Energy-Efficient Wireless Neural Implants is now published in Nature Electronics (2023 Impact Factor: 33.255). This paper demonstrates how the conductive properties of the brain tissue can be utilized for creating a low-loss, electro-quasistatic mode of communication from a wireless brain implant to an external aggregator, and enable broadband/wideband data transfer in a deep brain implant due to the low end-to-end channel loss. The work was done when I was still a Ph.D. student at Purdue University. A preliminary arXived version can be found in this link for wider access.
- This work on high-speed brain implants is now covered in a News Article in TechXplore, which is a part of the Phys.org Network, covering the latest in engineering, electronics, and tech. The news article can be read here.
- This work on high-speed brain implants is now also covered in a News Article in Front Matter, which publishes science journalism content for the Proceedings of the National Academy of Sciences (PNAS). The news article can be read here.
— March 2023: The future vision for IoB is Explained in this Annual Review of Biomedical Engineering (2023 Impact Factor: 11.324) Article, where the challenges and opportunities in this research area are articulated, in terms of sensing, processing, communication, powering and security of IoB nodes. The specific use-cases of Human-Body Communication (HBC) are also explained for IoB, as a differentiating factor from Wireless Body-Area Network (WBAN).
Specific Research Directions:
1) Internet of Bodies (IoB): Seamless and Secure connectivity on, in, and around the human body
2) Low-Power and Highly Stable On-Chip Clocking Solutions
3) Intelligent Sensing Mechanisms: Context-aware, Low-power/Energy-efficient
4) Miniaturized, Secure IoT Nodes: General purpose nodes and hardware (COTS/ASIC) design
5) Continuous Monitoring and e-Healthcare: Application-driven ASIC design
6) Neural Interfaces and Neuromorphic Systems
Areas: Analog/Digital/Mixed-SIgnal/RF VLSI Circuit Design, System Design, IoT, ML
WISE Lab Research Sponsors: