Abstract

Integrated silicon photonics has sparked a significant ramp-up of investment in both academia and industry as a scalable, power-efficient, and eco-friendly solution. At the heart of this platform is the light source, which in itself, has been the focus of research and development extensively.

Abstract

The project aims at designing a robot control/planning algorithm and an image processing pipeline (software) for 3D image reconstruction of an unknown object. A robotic manipulator equipped with an imaging sensor will be used to collect data, and a pipeline will be developed to merge collected data points and segment/identify target objects.

Abstract

Indoor air quality (IAQ) is a major concern for many people, especially those who spend a lot of time indoors, such as in office environments. One of the indicators of IAQ is Carbon dioxide (CO₂) which, in high concentrations, could lead to drowsiness, headaches, nausea, and an increase in heart rate.

Abstract

You will learn how to anchor recognition units on electrode surfaces, characterize electrode properties, and analyze their performance in basic biosensing.

Deliverables

• Electrode characterization results

Abstract

Conventional solar trackers are mechanical systems which allow the solar cell to track the sunlight, thus increasing the energy output per day and over the year.

Abstract

The Advanced Semiconductor Lab is proposing a novel project to address the challenge of shrinking transistors and the need for higher efficiency in electronic devices. The project focuses on the development of 3D integrated circuits, where transistors are integrated in both the vertical and lateral directions.

Abstract

Students will be engaged in design, simulation and evaluation of a body area network using on-skin communication modules. Accurate, real time sensing of body vital functions leads to better preventative medicine approached and more accurate diagnosis.

Abstract

At the CCSL, we are engaged in research and teaching on wireless communication methods for future wireless communication systems. In future wireless communication 5G and beyond, an extremely high number of heterogeneous devices, such as smartphones, sensors, robots, and vehicles, will communicate with each other.

Abstract

Capacitive touch screens are the most prevalent type of touch screens used in modern smartphones. They work based on the electrical properties of the human body. When we touch the screen with our fingers, it creates a disruption in the screen's electrostatic field. The smartphone detects this change and registers the touch.

Abstract

Nowadays, advances in renewable energies, electric vehicles, and smart microgrids are providing solutions to environmental and energy problems, but also pose technological challenges that can be tackled by dynamic and highly motivated students.

A solar tracking system is considered as one the effective technologies to enhance the efficiency of solar cells by tracking and following the sun's position. Nevertheless, conventional solar trackers are mechanical systems with several disadvantages including being energy intensive, expensive and requiring maintenance periodically.

The consumption of honey has increased manifolds in the last few decades that has led to various adulteration practices. Presently, honey is amongst the top three most adulterated food items worldwide. Honey adulterants are substances that are added to pure honey to increase its quantity such as cheap sugar, commercial syrups, etc.

In-memory computing is an emerging computing topic where the computations are performed inside the memory which alleviates the memory-wall bottleneck problem that existing in current computing paradigm. The students will be designing analog or digital circuits modules of an in-memory computer.

Human body communication enables ultra-low-power and secure communication of the body signals, compared to regular RF communications such as Bluetooth. The students will be working on designing and fabricating electrode circuits for intrabody communication transceivers with matching networks to the body and transceivers circuits.

Brain-inspired computing is an emerging computing paradigm aiming to improve computing efficiency through mimicking brain functions. The students will be working on designing and simulating microelectronic circuits that mimic neurons' behavior to perform learning mechanisms with an application to simple recognition or prediction problems.