An Advanced IP Based CDMA 2000 Communication System for Coal Mines (CCSCM)

The proposed project aims at developing an enterprise-level CDMA2000 Communication System based on SIP Soft Switching technology and CDMA2000 emerging technology. It is called an enterprise-level communication system because it has typically only thousands of subscribers rather than millions of users as in the case for carrier-level systems; furthermore it has to be cost effective, […]

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Personal Productivity Analytics

To investigate how artificial intelligence techniques can be applied to improve productivity in computer-mediated work contexts, including email and messaging applications. We look at how to leverage features in data to make better guesses about when someone is productive, and create intelligent assistants to help people stay productive.

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Data Science in Pilot Performance Assessment

Automatically assessing a pilot performance during a flight training session is a capability that can enhance the flight instructor during his duty. From data gathered during a flight maneuver, we are looking for a way to automatically assess pilot performance to augment instructor performance and provide objectivity during flight training assessment.

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Exploiting Experiences and Priors in Semantic Visual Navigation

This fundamental research project investigates semantic visual navigation tasks, such as asking a household robot to “go find my keys”. We seek to enhance the efficacy of repeated search tasks within the same environment, by explicitly building, maintaining, and exploiting a map of locations that the robot had previously explored. We also seek to exploit […]

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Materialized View Performance at Massive Scale for Data Analytics Workloads

View materialization in relational database systems helps in improving the performance of querying the stored data. With the emergence of large scale data analytics, there are several challenges that need to be considered for robust view management. In this project, we study the performance of materialized views at large scale, when there are thousands of […]

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Secure blockchain technologies

In the recent years, blockchain technologies have shown promise as infrastructure for decentralized trustless anonymous digital asset exchange. The technology promises to transform how the data is shared in many areas including financial sector, insurance and gaming industries. Yet several obstacles prevent mainstream adoption of this technology – one of these challenges is security. To […]

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Ensemble-based Dimensionality Reduction Model for Wireless Time-Series

The new wireless network technology will provide users with a higher communication quality. However, we will face two critical problems: the wireless traffic will increase considerably, and the wireless signals will contain noise. The Wifi signals are represented as time series, but processing and removing noise from such huge-volume, high-dimensional and complex data pose great […]

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Creative Artificial Intelligence in Interactive Mobile Systems

The large amount of information available today on the web brings many challenges to the information retrieval and artificial Intelligence communities. Moreover, personalization is a key component in today’s successful mobile websites and interactive applications. In order to be effective, these websites are required to provide visitors with the information they need without the complexity […]

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IoT device fingerprinting and anomaly detection using ML

The number of Internet of Things (IoT) devices is expected to reach 50 billion devices by 2020 and the devices are increasingly diverse. They are disrupting traditional security measures. Mobile Network Operators (MNOs) have limited control over customers’ IoT devices, as they are deployed on the customer premises. MNOs need to deploy effective security controls […]

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NetRepAIr: Making networks reliable for next-generation applications using AI/ML techniques

Networks have grown from small topologies connecting a dozen of devices to large, shared infrastructures supporting primary needs of our society. Today, we count on networked services for trading, commuting, monitoring weather conditions, meeting people. In order to provide reliable services, network operators need to cope with the daunting challenge of ensuring millions of flows […]

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Just-In-Time Scaling of Cloud Based Video Games using Machine Learning

Ubisoft’s cloud-based video game ecosystems experience the workload up to 5+ millions players in a typical week. Workloads on game servers are of different scales, ranging from tens of clients per game server to thousands of clients for traditional workloads. To guarantee game player user experience, a pool of servers is launched to react to […]

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