Implementation of Photonic Computing Chip (IPCC)

The IPCC project aims to utilize the advancements in lasers, optics and semiconductor fabrication facilities to deliver a computing chip that uses laser instead on electrical signals to perform computations. The new paradigm of computation execution allows computations to be performed much faster at lower energy consumption which directly leads to lower costs for computations. The advantage is particularly huge for AI computations. The Interns will perform research work to design, fabricate and test the new chip and develop software that allow using this chip efficiently.

Improving Aveer RFID technology for real-world scenarios

Radio Frequency Identification (RFID) technology has received extensive interests due to its low cost, battery-free, and small size. Many exciting applications based on RFID have been developed in recent years, such as localization, gesture sensing, and health monitoring, etc. However, none of these systems are widely in real-world use. The reason is that most existing systems assume a static communication environment, while a small environmental variation or tag geometrical condition change will cause a large accuracy decrease.

Development of an efficient coding for CDMA-based passive RFID tags

Radio frequency identification (RFID) is a technology that uses radio frequency to identify and track tags attached to objects. This technology is employed in different industries such as asset tracking, supply chain management, ID badging, etc. Current solutions for object tracking have limited precision, suffer from low performance, and are expensive and complex. In this project, by implementing a technology called code division multiple access (CDMA), we improve the RFID system performance significantly.

Advancing Autonomous Thermalling of Unmanned Aerial Gliders

As Unmanned Aerial Vehicles (UAVs) become more ubiquitous, a special class of UAVs known as Unmanned Aerial Gliders (UAGs) promises to offer more efficient flight by using atmospheric energy to remain afloat. In order to facilitate the usage of UAGs in various applications, researchers have developed algorithms which allow for autonomous flight of UAGs. The developed algorithms, however, still lag in performance as compared to piloted UAGs, and require an extensive amount of calibration upfront, making them difficult to implement on gliders of various sizes and properties.

Private SQL interface for encrypted data

Querying databases without a layer of privacy protection might lead to serious privacy issues. Such issues include access patterns and communication volume patterns. By combining the state-of-the-art privacy standard (differential privacy) and encryption in provides resilience to a host of attacks on remote databases, including data reconstruction attacks. However, there is still research work needed in building a private access system on top of an encrypted database.

Development of an Unmanned Glider for Autonomous Soaring

We will develop an algorithm for a small unmanned glider (a plane-shaped drone) to soar autonomously. Gliders gain energy from the atmosphere by flying in circles in streams of rising air, called thermals. This allows them to stay aloft for extended periods of time, in the range of several hours. Detecting thermals, as well as harvesting energy from them, with an automatic pilot, is the challenge that we are tackling in this work. We will write the program, as well as test it, both in a flight simulator and in the field (with a remote-controlled drone, flying autonomously).

Nanostructured anti-reflective glass for lenses, electronic displays, and photovoltaics

Inspired by patterns in the eye of the moth, nanostructures can be created on the surface of glass, allowing all light to transmit through the glass without any interference. Applied on lenses, low light photography is enhanced. Applied on electronic displays, the technology enables sunlight readable screens. Applied on photovoltaics, more light enters the solar panels, enhancing energy conversion.

Ultra-low power wireless sensor node design for health monitoring

In this project we address the problem of power consumption for wireless sensor nodes. This is where among different components of a sensor, RF transceivers consume a significant amount of power e.g. approximately 80%. Hence the main objective is this project is to tackle the power consumption problem at the RF transmitter, where we aim to reduce the power consumption to micro-watts of power, with minimal sacrifice in achievable data rate and by keeping the connectivity range within an acceptable radius.

The importance and multi-dimensional approach of marketing strategy in the data security industry

As a customer you expect your personal and sensitive data to be kept safe in the company’s storage and to be handled confidentially. But that is exactly among others one of the biggest challenge for businesses nowadays. Therefore, they need the best partner in IT and data protection by their side. Data security and protection solutions are offered by several software companies to address the issue. But how can businesses find the best suitable solution? That is when marketing strategy of the software companies comes into play.

Spherical harmonic representation of sound field using a velocity microphone for source localization and source separation

The rapid emergence of voice interfaces in our everyday devices has driven the need to develop audio systems that are robust to noisy environments. Traditionally, arrays of pressure based microphones are used to listen into a specific sound and block out the surrounding noise. However, this comes at a tradeoff of increased size and decreased audio quality. Recently, Soundskrit has developed a new type of microphone that can directly measure the particle velocity of a sound field.