Below is a list of current research opportunities. For details and funding contact the professor directly. For additional information, contact Professor Gabriel Wainer, the Associate Chair of Graduate Studies.

Project Name: Resource Management on BigData Processing Platforms

Project Description: Research on various issues underlying allocation and scheduling is underway. The focus of attention is parallel processing systems including MapReduce/Hadoop, Spark and specialized stream processing platforms.

Supervisor: Prof. S. Majumdar

Webpage: www.sce.carleton.ca/faculty/majumdar.html

____________________________________________________________________________________________________________________________________________

Project Name: SUSTAIN

Project Description: Modern building automation systems collect and store vast amounts of data in. Tools that facilitate management and visualization of these data are in their infancy. These methods fail to communicate the complexities of building performance and equal opportunities to improve performance. The research focuses on methods and tools for integrating real-time sensor data with occupancy information based on the occupants’ devices and integrating parametric data from the building to construct formal models that can be used for both simulation and control. This research is funded by NSERC strategic grant and supported by Autodesk Research.

Supervisor: Prof. G. Wainer

Webpage: https://sustain.sce.carleton.ca

_____________________________________________________________________________________________________________________________________________

Project Name: Modeling and Simulation for the Development of Cyber-Physical Systems (CPS)

Project Description: CPS are built as sets of components interacting with their surrounding environment. These are highly reactive systems, where not only correctness is critical, but also the timing for executing the system tasks. Our research focuses on using a formal Modeling and Simulation methodology for CPS development. The research includes interaction with complex simulation models of the environment.

Supervisor: Prof. G. Wainer

Webpage: http://arslab.sce.carleton.ca/

_____________________________________________________________________________________________________________________________________________

Project Name: Discrete-Event Methodologies for Modeling and Simulation (M&S)

Project Description: M&S is now one of the pillars of science and engineering. Formal M&S provides even better results as the software artifacts can be built faster and safer. In particular, the DEVS formalism, on generic dynamic systems concepts, is suitable to deal with these issues. The goal of this research is to expand DEVS theoretical framework for advanced simulation models. From the practical standpoint, we are developing a set of tools that can be applied to develop complex simulations. These tools can be applied to a wide range of applications, ranging from mobile communication, environmental issues, traffic control, or emergency planning, between others.

Supervisor: Prof. G. Wainer

Webpage: http://arslab.sce.carleton.ca/

____________________________________________________________________________________________________________________________________________

Project: Algorithm development for advanced signal/image processing and learning

Project Description:  Advanced Sensors Signal Processing Lab has several projects in  detection, estimation, tracking and classification. Application areas include autonomous systems, biomedical systems and public safety.

Supervisor: Prof. S. Rajan

Website: https://www.sce.carleton.ca/faculty/rajan

_____________________________________________________________________________________________________________________________________________

Project Name: Machine Learning applied to Network Management

Project Description: The goal of the project is to apply machine learning techniques to logs of network management traces, and to extract rules that can automate some of the more repetitive tasks of a human operator. The provided data may need to be cleaned and pre-processed in order to be usable by a machine learning algorithm. The choice of the algorithm is up to you, but needs to be justified given the nature of the data. Relevant metrics should be used to assess the performance of your algorithm

Pre-requisite: students must have taken, and excelled at, one of the machine learning or pattern classification courses offered in the program.

Supervisor: Prof. B. Esfandiari

Website: https://carleton.ca/nmai/

_____________________________________________________________________________________________________________________________________________

Project Name: Ultrasound imaging and measurements for biomedical applications.

Project Description: R&D on ultrasonic sensors, methods, system and signal processing for tissue characterization, biomedical monitoring and diagnosis. The projects include (but not limited to): muscle monitoring and characterization, cardiovascular monitoring including artery diameter tracking and measurement, ultrasound elastography.

Supervisor: Prof. Yuu Ono

Website: www.sce.carleton.ca/faculty/ono

_____________________________________________________________________________________________________________________________________________

Project Name: Formal Security Modeling and Analysis for Software-Dependent Systems

Project Description: The CyberSEA Research Lab has open positions in developing formal security modeling and analysis frameworks in support of security evaluation and assurance for software-dependent systems.

Supervisor: Prof. J. Jaskolka

Website: https://carleton.ca/jaskolka/

_____________________________________________________________________________________________________________________________________________

Project Name: System-Level Security Evaluation Methods

Project Description: The CyberSEA Research Lab has open positions in establishing system-level security evaluation methods, techniques, metrics, and measures for understanding and mitigating the risks to system assets posed by identified security vulnerabilities.

Supervisor: Prof. J. Jaskolka

Website: https://carleton.ca/jaskolka/

_____________________________________________________________________________________________________________________________________________

Project Name: Incremental Development of Security Assurance Cases

Project Description: The CyberSEA Research Lab has open positions in advancing techniques to support the management, evaluation, and presentation of sufficient evidence for developing incremental security assurance cases.

Supervisor: Prof. J. Jaskolka

_____________________________________________________________________________________________________________________________________________

Website: https://carleton.ca/jaskolka/

Project Name: Machine learning for biomedical informatics

Project description: The cuBIC lab has several ongoing projects applying machine learning to problems in biomedical informatics. These include both medical informatics (e.g. patient monitoring in the NICU) and bioinformatics (e.g. protein/RNA analysis).

Supervisor: Prof. J. Green

Website: www.sce.carleton.ca/faculty/green

_____________________________________________________________________________________________________________________________________________

Project Name: Image processing for biomedical applications.

Project Description: The Bioprinting & Imaging lab has projects focused image processing and feature detection. These projects include understanding optical microscopy imaging and how the information extracted from these images can be used to answer biological questions (e.g. disease progression).

Supervisor: Prof. L. Guidolin

Website: https://carleton.ca/sce/people/mostaco-guidolin/