This project proposes a novel planning algorithm based on merging a sampling-based global planner with an inverse kinematics-based controller, defined local planner. The idea is to run off-line the global planner before the motion starts. Then, during the motion, the local planner is executed and simultaneously at lower frequency the global one is performed “to […]

Ciena would like to drastically improve its ability to track, analyse and forecast the cost of products. Building on experience with the current tool suite and business practices, Ciena aims to develop a next-generation product cost analytics solution that will run on its existing IT infrastructure and allow capture, analysis and modeling of historical as […]

Competency-based management (CBM) is an approach to human resource management (HRM) that has grown in popularity over the years. CBM involves objectively defining the necessary competencies (defined as job-related knowledge, skills, abilities, and other attributes) to effectively perform a job, then integrating this framework into the organization’s HRM processes. While this approach makes sense in […]

The goal of this project is to design and implement a mobile “dashboard” interface for an ocean vessel profiling device that captures speed, location, torque, and other data relevant to ship powering measurement and prediction. The interface will provide real-time visualizations that a pilot, engineer, or scientist can use to monitor the impact of ship […]

Machine learning can be used to predict employee events around retention, promotion or movement. This project explores how to generate better predictions by exploring correlations and exploiting them through features that increase predictive strength. Furthermore, the project explores how to reliably fine-tune the predictive model to a particular data set in the presence of interdependence […]

Current Heavy Rare Earth Element (HREE) processing techniques are expensive, environmentally-challenging, and slow. Kinetic models predict that the rate of acid permeation of a mineral is the rate controlling step. Therefore, permeation rate controls the acid quantity and residency time of the mineral in the acid bath; impacting costs. Kinetic models are based on structural […]

With the fast-growing size of machine learning datasets, it has become increasingly important to store them in a reliable and distributed manner. Large scale distributed file systems such as GFS, HDFS and Amazon S3 have the capability to store large scale of data reliably. However, these distributed file systems have an intrinsic shortcoming: they provide […]

Processes are important concepts in modern society since they control and standardize the interactions between businesses, consumers, governments and other organizations. However, the rise of knowledge-based industries such as financial services, healthcare, advanced manufacturing and software development have produced unstructured and knowledge-dependent processes. These Knowledge Intensive Processes (KIPs) KIPs range from partially structured to unstructured […]

In a few words, this is a fintech data analysis project. The idea is, given temporal data of financial nature, to build algorithms that predict its evolution over time. For instance, the data could be certain assets prices, or customer buying history. The objective would be to respectively predict this asset price in a close […]

The wide adoption and development of wireless sensing technologies for the monitoring and autonomous identification of financial activities have affected financial institutions in the past decade. However, wider utilization of RFID technologies in the banking sector has introduced challenges regarding the security and privacy of sensitive financial data. The proposed innovations and technological developments will […]

Accurate network traffic identification would assist network operations and management teams effectively on many different network tasks such as managing bandwidth and ensuring security. The demand for network management methods that optimize network performance and provide quality of service guarantees has increased substantially in recent years. As new social networking and voice over internet protocol […]

Smart home devices with artificial intelligence (machine learning and deep learning) will change our lifestyles in the near future. The objective of this project is to develop an artificial agent, which will power the smart light switches produced by ecobee. The artificial agent, a machine learning program, will use the data collected by the sensors […]