Research

The iCHIP research lab focuses on designing efficient integrated circuits in the following four themes:

1- Energy Harvesting and Power Management Circuits: The lab aims to create energy harvesting circuits to supplement or replace batteries, leading to self-sufficient and autonomous operation. This entails the creation of efficient and low-power converters, regulators, and battery chargers. Additionally, the lab intends to develop a highly efficient energy scavenging platform capable of harvesting energy from various sources and integrating it into various systems.

2- Intelligent Healthcare Systems: This study explores wearable healthcare systems capable of continuously monitoring a range of vital signs, enabling early detection of health issues and providing regular updates to patients and/or doctors. Additionally, the research extends to the development of implantable chips for sensing and actuation, such as neuromodulation, which could potentially replace traditional medication treatments.

3- Mixed-signal Machine Learning Hardware: This research concentrates on creating analog and mixed-signal circuits to implement machine learning computing platforms at the hardware level. This has the potential to replace traditional computing systems that rely on CPUs/GPUs and memory with more energy-efficient alternatives.

4- Wireless Power/Data Telemetry: This research will examine several methods of powering bioelectronics implants, such as pacemakers, Cochlear, and brain implants, for in-vivo sensing and actuation. Currently, small batteries are the main source of power, but the need for miniaturization and continuous monitoring presents challenges in terms of long-term power supply. The study will focus on finding solutions that involve wireless power and high-speed communication channels.