Conception and automatisation of a tunable Phase-Mask Interferometer for Fiber Bragg Grating inscription

Optical fiber Bragg gratings (FBG) have become ubiquitous in many products such as lasers, filters and sensors. However, typical commercial products are becoming more complex, ones that require highly competent operators since many parameters need to be fine-tuned during the writing of quality FBGs. A previous Mitacs project successfully addressed several challenges in the conception […]

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Terahertz Distributed Sensing Platform Based on Waveguide Bragg Gratings

Distributed sensing is an advanced technology that enables real-time monitoring of variations along the entire length of a waveguide, and offers the possibility of sensing from a long distance. In the optics domain, distributed sensing based on optical fibers has been successfully demonstrated. However, the realization of distributed sensing in the terahertz domain is still […]

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Non-Contact Laser-Based Vibration Sensor

The discipline of Vibrometery is wide and has many applications, vibrations are present in any mechanical system that involves moving components. So far, the main method to measure these vibrations has been the traditional accelerometer sensor, although it has its limitations and challenges. Laser Doppler Vibrometers (LDV) were developed in order to address some of […]

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Natural Language Interface for Ad Hoc Queries in Analytics

The main aim of this project is to design a database that provides a simplified way for individuals without the technical background to query information from the database. Such a database will operate on natural language, where the user asks the database a question about information retrieval and it presents the user with suitable answers. […]

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Applications of deep learning to large-scale data analysis in mass spectrometry-based proteomics – Year Two

As a result of recent advances in high-throughput technologies, rapidly increasing amounts of mass spectrometry (MS) data pose new opportunities as well as challenges to existing analysis methods. Novel computational approaches are needed to take advantage of latest breakthroughs in high-performance computing for the large-scale analysis of big data from MS-based proteomics. In this project, […]

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Visualization of IoT signals and optimization of sampling rate using machine learning

Internet of things (IoT) includes of multitude of sensors from a wide variety of applications. These sensors produce high volume and high velocity data. In addition, the transmission errors and malfunction of devices also necessitates checking the reliability/veracity of incoming data. The volume, velocity, and veracity are three Vs that are commonly describe in the […]

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Communicating Credentials: Building blockchain solutions for university degree verification

Document fraud is increasing and undermining the integrity of high quality education in Canada. With over 100,000 fake diplomas sold in the USA every year and legitimate universities incurring significant expenses protecting their intellectual property rights together with negative reputational spill-overs for legitimate universities, blockchain-based platforms, a technology in which transactions that are agreed to […]

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Private Secure Blockchain Transactions

IDENTOS and the University of Ottawa will collaborate in the research and development of cryptographic techniques for secure and privacy-respecting blockchain transactions. This project has research, design and implementation aspects. The project builds on the strengths of IDENTOS and The University of Ottawa in the areas of Mobile Security Privacy and Blockchain. The students will […]

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Methods for efficient and effective multi-document reading comprehension in the legal domain

ROSS enables legal professionals by providing tools that harnesses the power of artificial intelligence to make the research process more efficient. Advances within machine learning and natural language computing enable systems to achieve close to human performance. Many state-of-the-art methods have not been applied to the legal domain, leaving opportunity to enable development for the […]

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Recommendation system for retail shopping

People rely on recommendations from other people, friends’ word, news reports, and travel guide and so forth. Recommendation systems assist people to sift through available books, web pages, restaurants, and grocery products. [16]. We want to build a recommendation flow in the retail industry to serve Canadian citizens better. The system will understand the customers […]

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