Publications (19)
An Integrated Cyber-Physical Risk Assessment Framework for Worst-Case Attacks in Industrial Control Systems
Navid Aftabi, Dan Li, Ph. D. +2
Industrial Control Systems (ICSs) are widely used in critical infrastructures that face various cyberattacks causing physical damage. With the increasing integration of the ICSs an…
Assessing Cybersecurity Risks and Traffic Impact in Connected Autonomous Vehicles
Saurav Silwal, Lu Gao, Ph. D. Yunpeng Zhang +4
Given the promising future of autonomous vehicles, it is foreseeable that self-driving cars will soon emerge as the predominant mode of transportation. While autonomous vehicles of…
Interoception Underlies The Therapeutic Effects of Mindfulness Meditation for Post-Traumatic Stress Disorder: A Randomized Clinical Trial
Seung Suk Kang, Ph. D., Scott R. Sponheim +2
Mindfulness-based interventions have proven its efficacy in treating post-traumatic stress disorder (PTSD), but the underlying neurobiological mechanism is unknown. To determine th…
Assessment of Amazon Comprehend Medical: Medication Information Extraction
Benedict Guzman, MS, Isabel Metzger +5
In November 27, 2018, Amazon Web Services (AWS) released Amazon Comprehend Medical (ACM), a deep learning based system that automatically extracts clinical concepts (which include…
Geared Rotationally Identical and Invariant Convolutional Neural Network Systems
ShihChung B. Lo, Ph. D., Matthew T. Freedman +4
Theorems and techniques to form different types of transformationally invariant processing and to produce the same output quantitatively based on either transformationally invarian…
Clinical and Non-clinical Effects on Surgery Duration: Statistical Modeling and Analysis
Jin Wang, Ph. D., Javier Cabrera +5
Surgery duration is usually used as an input to the operation room (OR) allocation and surgery scheduling problems. A good estimation of surgery duration benefits the operation pla…
On the Factors Influencing the Choices of Weekly Telecommuting Frequencies of Post-secondary Students in Toronto
Khandker Nurul Habib, Ph. D., PEng
The paper presents an empirical investigation of telecommuting frequency choices by post-secondary students in Toronto. It uses a dataset collected through a large-scale travel sur…
Intracranial Hemorrhage Segmentation Using Deep Convolutional Model
Murtadha D. Hssayeni, M. S., Muayad S. Croock +7
Traumatic brain injuries could cause intracranial hemorrhage (ICH). ICH could lead to disability or death if it is not accurately diagnosed and treated in a time-sensitive procedur…
Large Language Model-Powered Conversational Agent Delivering Problem-Solving Therapy (PST) for Family Caregivers: Enhancing Empathy and Therapeutic Alliance Using In-Context Learning
Liying Wang, Ph. D., Daffodil Carrington +8
Family caregivers often face substantial mental health challenges due to their multifaceted roles and limited resources. This study explored the potential of a large language model…
Boosting radiotherapy dose calculation accuracy with deep learning
Yixun Xing, Ph. D., You Zhang +5
In radiotherapy, a trade-off exists between computational workload/speed and dose calculation accuracy. Calculation methods like pencil-beam convolution can be much faster than Mon…
Development and evaluation of an open-source, machine learning-based average annual daily traffic estimation software
Zadid Khan, Sakib Mahmud Khan, Ph. D. +3
Traditionally, Departments of Transportation (DOTs) use the factor-based model to estimate Annual Average Daily Traffic (AADT) from short-term traffic counts. The expansion factors…
A comparison of cluster algorithms as applied to unsupervised surveys
Kathleen Campbell Garwood, Ph. D., Arpit Arun Dhobale
When considering answering important questions with data, unsupervised data offers extensive insight opportunity and unique challenges. This study considers student survey data wit…
PLACID: Privacy-preserving Large language models for Acronym Clinical Inference and Disambiguation
Manjushree B. Aithal, Ph. D., Alexander Kotz +2
Large Language Models (LLMs) offer transformative solutions across many domains, but healthcare integration is hindered by strict data privacy constraints. Clinical narratives are…
A General Measure of Collision Hazard in Traffic
Erik K. Antonsson, Ph. D., P. E. +1
A collision hazard measure that has the essential characteristics to provide a measurement of safety that will be useful to AV developers, traffic infrastructure developers and man…
A Robust Statistical method to Estimate the Intervention Effect with Longitudinal Data
Mohammad M. Islam, Ph. D., Erik L. Heiny +1
Segmented regression is a standard statistical procedure used to estimate the effect of a policy intervention on time series outcomes. This statistical method assumes the normality…
Car-Following Models: A Multidisciplinary Review
Tianya Zhang, Ph. D., Peter J. Jin +3
Car-following (CF) algorithms are crucial components of traffic simulations and have been integrated into many production vehicles equipped with Advanced Driving Assistance Systems…
Harnessing Digital Twin Technology for Adaptive Traffic Signal Control: Improving Signalized Intersection Performance and User Satisfaction
Sagar Dasgupta, Mizanur Rahman, Ph. D. +2
In this study, a digital twin (DT) technology based Adaptive Traffic Signal Control (ATSC) framework is presented for improving signalized intersection performance and user satisfa…
Motion Correction of 3D Dynamic Contrast-Enhanced Ultrasound Imaging without Anatomical Bmode Images
Jia-Shu Chen, Maged Goubran Ph. D., Gaeun Kim +5
In conventional 2D DCE-US, motion correction algorithms take advantage of accompanying side-by-side anatomical Bmode images that contain time-stable features. However, current comm…
Deep learning model trained on mobile phone-acquired frozen section images effectively detects basal cell carcinoma
Junli Cao, B. S., Junyan Wu +7
Background: Margin assessment of basal cell carcinoma using the frozen section is a common task of pathology intraoperative consultation. Although frequently straight-forward, the…