48 citations · 117 across the 22 of their papers we have counts for
23 papers
UAV-Based Infrastructure Inspections: A Literature Review and Proposed Framework for AEC+FM
Amir Farzin Nikkhah, Dong Chen, Bradford Campbell +2
Unmanned Aerial Vehicles (UAVs) are transforming infrastructure inspections in the Architecture, Engineering, Construction, and Facility Management (AEC+FM) domain. By synthesizing…
Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion
Zeyang Zheng, Arman Hosseini, Dong Chen +2
The increasing adoption of electric scooters (e-scooters) in urban areas has coincided with a rise in traffic accidents and injuries, largely due to their small wheels, lack of sus…
Detecting Plant VOC Traces Using Indoor Air Quality Sensors
Seyed Hamidreza Nabaei, Ryan Lenfant, Viswajith Govinda Rajan +4
In the era of growing interest in healthy buildings and smart homes, the importance of sustainable, health conscious indoor environments is paramount. Smart tools, especially VOC s…
Multimodal Data Integration for Sustainable Indoor Gardening: Tracking Anyplant with Time Series Foundation Model
Seyed Hamidreza Nabaei, Zeyang Zheng, Dong Chen +1
Indoor gardening within sustainable buildings offers a transformative solution to urban food security and environmental sustainability. By 2030, urban farming, including Controlled…
Adoption of AI-Assisted E-Scooters: The Role of Perceived Trust, Safety, and Demographic Drivers
Amit Kumar, Arman Hosseini, Arghavan Azarbayjani +2
E-scooters have become a more dominant mode of transport in recent years. However, the rise in their usage has been accompanied by an increase in injuries, affecting the trust and…
Impact of Road Infrastructure and Traffic Scenarios on E-scooterists' Riding and Gaze Behavior
Dong Chen, Arman Hosseini, Arik Smith +5
The growing adoption of e-scooters has raised significant safety concerns, particularly due to a surge in injuries and fatalities. This study explores the relationship between road…
Performance Evaluation of Real-Time Object Detection for Electric Scooters
Dong Chen, Arman Hosseini, Arik Smith +4
Electric scooters (e-scooters) have rapidly emerged as a popular mode of transportation in urban areas, yet they pose significant safety challenges. In the United States, the rise…
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation
Chen Yang, Yangfan He, Aaron Xuxiang Tian +5
In this paper, we introduce a novel approach for autonomous driving trajectory generation by harnessing the complementary strengths of diffusion probabilistic models (a.k.a., diffu…
Unveiling the Impact of Cognitive Distraction on Cyclists Psycho-behavioral Responses in an Immersive Virtual Environment
Xiang Guo, Arash Tavakoli, T. Donna Chen +1
The National Highway Traffic Safety Administration reported that the number of bicyclist fatalities has increased by more than 35% since 2010. One of the main reasons associated wi…
Building Performance Simulations Can Inform IoT Privacy Leaks in Buildings
Alan Wang, Bradford Campbell, Arsalan Heydarian
As IoT devices become cheaper, smaller, and more ubiquitously deployed, they can reveal more information than their intended design and threaten user privacy. Indoor Environmental…
Exploring Smart Commercial Building Occupants' Perceptions and Notification Preferences of Internet of Things Data Collection in the United States
Tu Le, Alan Wang, Yaxing Yao +4
Data collection through the Internet of Things (IoT) devices, or smart devices, in commercial buildings enables possibilities for increased convenience and energy efficiency. Howev…
Occupant Privacy Perception, Awareness, and Preferences in Smart Office Environments
Beatrice Li, Arash Tavakoli, Arsalan Heydarian
Building management systems tout numerous benefits, such as energy efficiency and occupant comfort but rely on vast amounts of data from various sensors. Advancements in machine le…
The Hitchiker's Guide to Successful Living Lab Operations
Alan Wang, Feng Yi Chang, Siavash Yousefi +3
Living labs have been established across different countries to evaluate how the interaction between humans and buildings can be optimized to improve comfort, health, and energy sa…
Rethinking infrastructure design: Evaluating pedestrians and VRUs' psychophysiological and behavioral responses to different roadway designs
Xiang Guo, Austin Angulo, Arash Tavakoli +3
The integration of human-centric approaches has gained more attention recently due to more automated systems being introduced into our built environments (buildings, roads, vehicle…
How are Drivers' Stress Levels and Emotions Associated with the Driving Context? A Naturalistic Study
Arash Tavakoli, Nathan Lai, Vahid Balali +1
Understanding and mitigating drivers' negative emotions, stress levels, and anxiety is of high importance for decreasing accident rates, and enhancing road safety. While detecting…
The Impact of Surrounding Road Objects and Conditions on Drivers Abrupt Heart Rate Changes
Arash Tavakoli, Arsalan Heydarian
Recent studies have pointed out the importance of mitigating drivers stress and negative emotions. These studies show that certain road objects such as big vehicles might be associ…
Using Statistical Models to Detect Occupancy in Buildings through Monitoring VOC, CO, and other Environmental Factors
Mahsa Pahlavikhah Varnosfaderani, Arsalan Heydarian, Farrokh Jazizadeh
Dynamic models of occupancy patterns have shown to be effective in optimizing building-systems operations. Previous research has relied on CO sensors and vision-based technique…
Driver State Modeling through Latent Variable State Space Framework in the Wild
Arash Tavakoli, Steven Boker, Arsalan Heydarian
Analyzing the impact of the environment on drivers' stress level and workload is of high importance for designing human-centered driver-vehicle interaction systems and to ultimatel…
Roadway Design Matters: Variation in Bicyclists' Psycho-Physiological Responses in Different Urban Roadway Designs
Xiang Guo, Arash Tavakoli, Erin Robartes +3
As a healthier and more sustainable way of mobility, cycling has been advocated by literature and policy. However, current trends in bicyclist crash fatalities suggest deficiencies…
ORCLSim: A System Architecture for Studying Bicyclist and Pedestrian Physiological Behavior Through Immersive Virtual Environments
Xiang Guo, Austin Angulo, Erin Robartes +2
Injuries and fatalities for vulnerable road users, especially bicyclists and pedestrians, are on the rise. To better inform design for vulnerable road users, we need to conduct mor…
Multimodal Driver State Modeling through Unsupervised Learning
Arash Tavakoli, Arsalan Heydarian
Naturalistic driving data (NDD) can help understand drivers' reactions to each driving scenario and provide personalized context to driving behavior. However, NDD requires a high a…
Driver State and Behavior Detection Through Smart Wearables
Arash Tavakoli, Shashwat Kumar, Mehdi Boukhechba +1
Integrating driver, in-cabin, and outside environment's contextual cues into the vehicle's decision making is the centerpiece of semi-automated vehicle safety. Multiple systems hav…
A Survey Study to Understand Industry Vision for Virtual and Augmented Reality Applications in Design and Construction
Mojtaba Noghabaei, Arsalan Heydarian, Vahid Balali +1
With advances in Building Information Modeling (BIM), Virtual Reality (VR) and Augmented Reality (AR) technologies have many potential applications in the Architecture, Engineering…