The Kundur (ECE, U of T) and Strauss (Psychiatry, U of T, CAMH) Research Groups have multiple openings for graduate students on a CIHR-funded project related to early relapse detection in youth depression. Our focus is a novel use of digital phenotyping technologies and leading-edge dynamic systems algorithm development in a clinical youth population (age 12-21) for the prediction and secondary prevention of major depressive disorder in youth (MDD-Y). With tested and validated algorithms, the potential exists to create a software agent (app) that would be used by youth and their clinicians to anticipate relapse in real time, for short-term prevention of MDD-Y relapse and improvement of long-term prognosis. More information and application instructions are found here: https://www.comm.utoronto.ca/~dkundur/prospective/.
Archives for December 2019
Graduate Thesis Opportunities in Psychiatric Informatics
IET Special Issue on Smart Grids on Privacy and Security in Smart Grids
CALL FOR PAPERS
Privacy is a growing concern for the future of smart grids. The smart aspect of the grid requires near real time monitoring of the grid state, including consumer demand and response behaviour, to increase the resilience and reliability of the grid. However, with advances in machine learning and data mining technologies, such fine-grained information about user activity can easily provide sensitive information about individual consumers, threatening their privacy. Hence, it is essential to develop information technologies that can provide the necessary security and reliability to the grid without sacrificing consumer privacy.
Topics of interest:
- Security against data injection and falsification attacks
- Intrusion detection in smart grids
- Privacy and security issues in AI applications in smart grids
- Key management and authorization in energy management systems
- Privacy in smart meters
- Privacy and security issues in smart grid interoperability
- Game theoretic study of smart grid security and privacy problems
- Information theoretic models of privacy and security in smart grids
- Data analytics-based approaches for privacy and security assessment and mitigation
- Secure integration of Internet-of-things solutions to smart grids
- Data analysis, simulation and assessment studies from testbeds and real-time implementations
- Cyber-physical security of energy storage and management systems
- Secure and private demand-response management
- Wide area monitoring and control for attack detection, prevention, mitigation
- Cyber-physical testbed development for risk analysis
- Cyber-physical security of distributed energy resources (DER) systems
- Cyber-physical security of micro-grids and DC grids
Submission Guidelines:
This Special Issue solicits original work that is not under consideration for publication in other venues. Please submit the full paper directly to the journal’s review system: www.ietdl.org/IET-STG
Any changes on deadlines or other updates related to this Special Issue will be announced in the “Call for papers for upcoming Special Issues” section of the above website.
Important Dates:
October 2019: Issue of call for paper
February 3, 2020: Deadline for submission of full papers (early submission is highly recommended)
March 1, 2021: Publication date
Guest Editorial Board:
Deniz Gunduz (Lead Guest Editor), Imperial College London, UK
Tobias Oechtering, KTH, Sweden
Gabriela Hug, ETHZ, Switzerland
Deepa Kundur, University of Toronto, Canada
Mohammadreza Arani, Ryerson University, Canada
Fei Teng, Imperial College London, UK
Editor-in-Chief:
Vince Poor, Princeton University, USA
Hongjian Sun, Durham University, UK