A5079918317- Infrastructure Maintenance and Monitoring
- Autonomous Vehicle Technology and Safety
- Video Surveillance and Tracking Methods
- Capital Investment and Risk Analysis
- Anomaly Detection Techniques and Applications
- Human-Automation Interaction and Safety
- Traffic and Road Safety
- Industrial Vision Systems and Defect Detection
- Scheduling and Optimization Algorithms
- Microgrid Control and Optimization
- Advanced Neural Network Applications
- Non-Destructive Testing Techniques
- Urban Transport and Accessibility
- Human Pose and Action Recognition
- Transportation Planning and Optimization
- Supply Chain and Inventory Management
- Manufacturing Process and Optimization
- Smart Grid Energy Management
- Impact of Light on Environment and Health
- Occupational Health and Safety Research
- Concrete Corrosion and Durability
- Systems Engineering Methodologies and Applications
- Advanced Research in Systems and Signal Processing
- Hand Gesture Recognition Systems
- Traffic control and management
Stony Brook University
2020-2024
Missouri University of Science and Technology
2011-2020
Pennsylvania State University
2005
The rapid development of microgrid (MG) has made it ready to connect multiple MGs for providing regional power supply. energy management a multi-MG (MMG) system is the key reliable, economic operation interconnected system. MMG rich in distributed generation sources. intermittence and volatility renewable sources (RESs), such as wind solar, cannot be ignored large-scale hybrid Therefore, complex problem that coordinates units within individual MGs, exchange among trading between grid MGs....
Uncertainties from generation sources and loads have introduced tremendous challenges to the optimal dispatch of microgrids. This paper presents a novel two-stage min-max-min robust model for representative islanded ac/dc hybrid microgrid that faces uncertainties in renewable energy customer loads. The first stage determines startup/shutdown state diesel engine generator operating bidirectional converter microgrid. Then, second optimizes power individual units A new linearized equipment cost...
The rapid advancement of sensor technologies and artificial intelligence are creating new opportunities for traffic safety enhancement. Dashboard cameras (dashcams) have been widely deployed on both human driving vehicles automated vehicles. A computational model that can accurately promptly predict accidents from the dashcam video will enhance preparedness accident prevention. spatial-temporal interaction agents is complex. Visual cues predicting a future embedded deeply in data. Therefore,...
Production innovations are occurring faster than ever. Manufacturing workers thus need to frequently learn new methods and skills. In fast changing, largely uncertain production systems, manufacturers with the ability comprehend workers’ behavior assess their operation performance in near real-time will achieve better peers. Action recognition can serve this purpose. Despite that human action has been an active field of study machine learning, limited work done for recognizing worker actions...
Traffic accident anticipation is a vital function of Automated Driving Systems (ADS) in providing safety-guaranteed driving experience. An model aims to predict accidents promptly and accurately before they occur. Existing Artificial Intelligence (AI) models lack human-interpretable explanation their decision making. Although these perform well, remain black-box the ADS users who find it difficult trust them. To this end, paper presents gated recurrent unit (GRU) network that learns...
Over 600 000 bridges in the U.S. must be inspected every two years to identify flaws, defects, or potential problems that may need follow-up maintenance. Bridge inspection has adopted unmanned aerial vehicles (or drones) for improving safety, efficiency, and cost-effectiveness. Although drones can operate an autonomous mode, keeping inspectors loop is critical complex tasks bridge inspection. Therefore, develop skill confidence their jobs. This article presents design development of a...
Detecting dangerous traffic agents in videos captured by vehicle-mounted dashboard cameras (dashcams) is essential to ensure safe navigation complex environments. Accident-related are just a minor portion of the driving-related Big Data, and transient pre-accident process highly dynamic complex. Besides, risky non-risky can be similar their appearance. These make agent localization driving video particularly challenging. To this end, article proposes an attention-guided multistream feature...
The vast network of bridges in the United States has a high requirement for maintenance and rehabilitation. massive cost manual visual inspection to assess bridge conditions is burden some extent. Advanced robots have been used automate data collection. Automating segmentations multiclass elements surface defects on large volume image would facilitate an efficient effective assessment conditions. Training separate single-task networks element parsing (i.e., semantic segmentation elements)...
The dynamic planning for a system-of-systems is challenging endeavor. Department of Defense (DoD) programs constantly face challenges to incorporate new systems and upgrade existing over period time under threats, constrained budget, uncertainty. It therefore necessary the DoD be able look at future scenarios critically assess impact technology stakeholder changes. currently looking options that signify affordable acquisition selections lessen cycle early addition. This paper gives an...
In a human-centered intelligent manufacturing system, every element is to assist the operator in achieving optimal operational performance. The primary task of developing such system accurately understand human behavior. this paper, we propose fog computing framework for assembly operation recognition, which brings power close data source order achieve real-time recognition. For collection, operator's activity captured using visual cameras from different perspectives. instead directly...
Bridge inspection is an important step in preserving and rehabilitating transportation infrastructure for extending their service lives. The advancement of mobile robotic technology allows the rapid collection a large amount video data. However, data are mainly images complex scenes, wherein bridge various structural elements mix with cluttered background. Assisting inspectors extracting bridges from big data, sorting them out by classes, will prepare element-wise to determine condition...
Assembly carries paramount importance in manufacturing. Being able to support workers real time maximize their positive contributions assembly is a tremendous interest of manufacturers. Human action recognition has been way automatically analyze and understand worker actions real-time assistance for facilitate worker–machine collaboration. are distinct from activities that have well studied the literature. Actions taken by intricate, variable, may involve very fine motions. Therefore,...