A5078322249- Infrastructure Resilience and Vulnerability Analysis
- Posttraumatic Stress Disorder Research
- Resilience and Mental Health
- Traumatic Brain Injury Research
- Functional Brain Connectivity Studies
- Information and Cyber Security
- Evacuation and Crowd Dynamics
- Disaster Response and Management
- Identity, Memory, and Therapy
- Simulation-Based Education in Healthcare
- Neural and Behavioral Psychology Studies
- Crime Patterns and Interventions
- Terrorism, Counterterrorism, and Political Violence
- Advanced Neuroimaging Techniques and Applications
- Smart Grid Security and Resilience
- Advanced Image and Video Retrieval Techniques
- Reinforcement Learning in Robotics
- Schizophrenia research and treatment
- Death Anxiety and Social Exclusion
- Telemedicine and Telehealth Implementation
- Virtual Reality Applications and Impacts
- Digital Mental Health Interventions
- Treatment of Major Depression
- Optimization and Search Problems
- Machine Learning in Healthcare
University of Alberta
2016-2025
Leiden University Medical Center
2021
Istituto Tecnico Industriale Alessandro Volta
2021
Weatherford College
2021
Royal Alexandra Hospital
2018-2020
Alberta Health Services
2018-2019
Health Sciences Centre
2019
University of Southern California
2011-2018
Southern California University for Professional Studies
2013-2016
University of Utah
2010
In creating an evacuation simulation for training and planning, realistic agents that reproduce known phenomenon are required. Evacuation in the airport domain requires additional features beyond most simulations, including unique behaviors of first-time visitors who have incomplete knowledge area families do not necessarily adhere to often-assumed pedestrian behaviors. simulations customized incorporate factors important it, leading inaccuracies when applied it.In this paper, we describe...
Abstract In the literature, there are substantial machine learning attempts to classify schizophrenia based on alterations in resting-state (RS) brain patterns using functional magnetic resonance imaging (fMRI). Most earlier studies modelled patients undergoing treatment, entailing confounding with drug effects activity, and making them less applicable real-world diagnosis at point of first medical contact. Further, most classification accuracies >80% small sample datasets, which may be...
In order to examine the impact of disasters on adolescent mental health, this study compared population health survey data from two communities in Alberta, Canada: Fort McMurray, which experienced a major natural disaster, and Red Deer, did not.Data 3070 grade 7-12 students Canada (collected 2017, 18 months after 2016 wildfire) was with 2796 2014). The same measurement scales were used for both surveys. Both these cities have populations approximately 100,000, are located Canada. For reason,...
Background: The May 2016 wildfire in Fort McMurray, Alberta, Canada forced evacuation of the population 88,000 individuals and destroyed 10% homes. Youth are particularly impacted by disaster. Methods: Eighteen months after wildfire, McMurray Public Catholic Schools surveyed 3,252 4,407 students Grades 7-12 to determine possible long-term psychological impacts. survey included validated measurement scales for post-traumatic stress disorder (PTSD), depression, anxiety, use drugs, alcohol,...
Rates of Post-traumatic stress disorder (PTSD) have risen significantly due to the COVID-19 pandemic. Telehealth has emerged as a means monitor symptoms for such disorders. This is partly isolation or inaccessibility therapeutic intervention caused from Additional screening tools may be needed augment identification and diagnosis PTSD through virtual medium. Sentiment analysis refers use natural language processing (NLP) extract emotional content text information. In our study, we train...
The digital delivery of mental health services became increasingly common following the onset COVID-19 pandemic. There is still much to learn regarding tailoring interventions for trauma-affected populations (military members, Veterans, public safety personnel). Through current pilot study, we explored perceptions digitally delivered psychotherapies utilized populations, as reported by Canadian military and personnel who completed such interventions. Quantitative data were collected from 11...
Stackelberg games have been used in several deployed applications to allocate limited resources for critical infrastructure protection. These resource allocation strategies are randomized prevent a strategic attacker from using surveillance learn and exploit patterns the allocation. Past work has typically assumed that perfect knowledge of defender's strategy or can after conducting fixed period surveillance. In consideration cost, these assumptions clearly simplistic since attackers may act...
Security is a critical concern around the world. In many domains from cybersecurity to sustainability, limited security resources prevent complete coverage at all times. Instead, these must be scheduled (or allocated or deployed), while simultaneously taking into account importance of different targets, responses adversaries posture, and potential uncertainties in adversary payoffs observations, etc. Computational game theory can help generate such schedules. Indeed, casting problem as...
Schizophrenia is often associated with disrupted brain connectivity. However, identifying specific neuroimaging-based patterns pathognomonic for schizophrenia and related symptom severity remains a challenging open problem requiring large-scale data-driven analyses emphasizing not only statistical significance but also stability across multiple datasets, contexts cohorts. Accurate prediction on previously unseen subjects, or generalization, essential any useful biomarker of schizophrenia. In...
The neuroanatomical and neurochemical basis of alcohol reward has been studied extensively, but global alterations neural activity in circuits during chronic use remain poorly described. Here, we measured brain changes produced by long-term voluntary drinking the alcohol-preferring AA (Alko alcohol) rats using manganese-enhanced magnetic resonance imaging (MEMRI). MEMRI is based on ability paramagnetic manganese ions to accumulate excitable neurons thereby enhance T1-weighted signal...
An effective way of preventing attacks in secure areas is to screen for threats (people, objects) before entry, e.g., screening airport passengers. However, every entity at the same level may be both ineffective and undesirable. The challenge then find a dynamic approach randomized screening, allowing more use limited resources, leading improved security. We address this with following contributions: (1) threat game (TSG) model general domains; (2) an NP-hardness proof computing optimal...
Background: The current resuscitation guidelines recommend frequent simulation based medical education (SBME). However, the SBME approach is expensive, time-intensive, and requires a specialized lab trained instructors. Hence, it not offered routinely at all hospitals. We designed board game "RETAIN" to train healthcare providers (HCPs) in neonatal cost-friendly accessible way. Objectives: To examine if game-based training simulator improves knowledge retention HCPs. Methods: consists of...
Children and youth are among the most vulnerable to devastating effects of disaster due physical, cognitive, social factors related their developmental life stage. Yet children also have capacity be resilient act as powerful catalysts for change in own lives wider communities following disaster. Specific that contribute resilience youth, however, remain relatively unexplored. This article examines associated with high levels 100 aged 5- 18-years old who experienced 2016 Fort McMurray,...
Improved neuroscientific understanding of high-risk behaviors such as alcohol binging, drug use, and unsafe sex will lead to therapeutic advances for groups. High-risk behavior often occurs in an emotionally-charged context, behavioral inhibition emotion regulation play important roles risk-related decision making. High impulsivity is potential contributor tendencies. We explored the relationships between tendencies, impulsivity, fMRI brain activations emotional Go/NoGo task. This task...
An effective way of preventing attacks in secure areas is to screen for threats (people, objects) before entry, e.g., screening airport passengers. However, every entity at the same level may be both ineffective and undesirable. The challenge then find a dynamic approach randomized screening, allowing more use limited resources, leading improved security. We address this with following contributions: (1) threat game (TSG) model general domains; (2) an NP-hardness proof computing optimal...
In Fort McMurray, Alberta, Canada, the wildfire of May 2016 forced population 88,000 to rapidly evacuate in a traumatic and chaotic manner. Ten percentage homes city were destroyed, many more structures damaged. Since youth are particularly vulnerable negative effects natural disasters, we examined possible long-term psychological impacts. To assess this, partnered with McMurray Public Catholic Schools, who surveyed Grade 7–12 students (aged 11–19) November 2017, 2018, 2019—i.e., at 1.5,...
To dissuade reckless driving and mitigate accidents, cities deploy resources to patrol roads. In this paper, we present STREETS, an application developed for the city of Singapore, which models problem computing randomized traffic strategies as a defenderattacker Stackelberg game. Previous work on security games has focused extensively counterterrorism settings. STREETS moves beyond represents first use patrolling, in process providing novel algorithm solving such that addresses three major...