High Performance Computing Program Projects
Traffic Pattern Analysis in San Bernardino County, Dr. Kimberly Collins, Dr. Yunfei Hou, Dr. Raffi Der Wartanian
By leveraging the High-Performance Computing Program, our team analyzed over 90 million data points to uncover transportation patterns within San Bernardino County, home to approximately 2.19 million residents. This project, drawing on the dataset provided by StreetLight Data, has provided insights into vehicle trips within the Inland Empire as well as adjacent logistic centers. Our analysis covered both passenger and heavy-duty vehicle types, delving into commute and non-commute trip distributions, trip durations, and distances traveled. Some of our key findings underscore the necessity for strategic planning and green transportation solutions to accommodate the diverse transportation needs of the county’s residents. The insights also inform targeted infrastructure improvements in cities like Victorville, San Bernardino, and Ontario, advocating for multimodal infrastructure investments and sustainable mobility. As we move forward, our research will expand to include transit/multi-modal accessibility and pollution metrics, aiming to inform policies for equitable mobility and healthier urban environments. Utilizing the power of a high-performance computing team and the Leonard Transportation Center shows promise in building a more connected and sustainable transportation system for the future of our region.
Optimizing Traffic Monitoring Using Drones, Dr. Sepideh Alavi and Dr. Nasrin Mohabbati
Dr. Alavi and Dr. Mohabbati introduced an innovative mathematical model to tackle the challenging task of routing and scheduling multiple drones in a road network for traffic monitoring. Utilizing drones for traffic monitoring is a cost-effective, flexible, and efficient solution. The proposed model has practical applications, such as monitoring highways, identifying emergency situations, and enhancing the quality of future policy-making. They have been using the HPC resources at CSUSB to solve large-scale instances of the problem.
Lung Lesions Predictions, Dr. Benjamin Becerra
This project utilizes electronic health records (EHR) mostly available from public datasets, such as Agency for Healthcare Research and Quality's (AHRQ) Healthcare Cost and Utilization Project (HCUP) or California Office of Statewide Health Planning and Development (OSHPD) to uncover predictive patterns in patient or hospital level health-related outcomes.
MD/HD Vehicle Charging Analysis, Dr. Kimberly Collins, Dr. Yunfei Hou, Dr. Raffi Der Wartanian, Sai Kalyan Ayyagari, and Bhavik Pankaj Khatri
This project investigates the operation of medium-duty and heavy-duty (MD/HD) vehicles in the Inland Empire, with a focus on evaluating the potential for "opportunity charging," i.e., charging industrial vehicles for short periods during downtime at resting areas, logistics centers, etc. We will employ high-performance computing (HPC) to analyze an extensive dataset of traffic data, comprising over 20 million vehicle traces, which has been extracted from a commercial data vendor. This research is poised to offer insights into understanding the demand for, and promoting the adoption of, electric MD/HD vehicles within the Inland Empire region. We will create a comprehensive land-use map that facilitates the planning of future vehicle electrification. This information can also assist transportation authorities in optimizing the existing infrastructure and devising new infrastructural developments to accommodate the use of MD/HD electric vehicles.
Modeling Functional Organic and Organometallic Compounds, Dr. Kimberley Cousins
Dr. Cousins and her students model crystalline organic and organometallic compounds using the Vienna ab initio Simulation Package, which allows structure optimization and property prediction. The particular compounds modelled form in polar space groups, and have potentially interesting properties when placed in an electric field. The computations guide selection of candidates for synthesis, crystallization, and physical testing as functional materials.
Symbolic Computations in Algebraic Geometry and Commutative Algebra, Dr. Youngsu Kim
Dr. Kim and his graduate students study various algebraic structures using SageMath and Macaulay2, computer algebra software.
Ancient Egyptian Wadi el-Hudi Expedition, Dr. Kate Liszka and Bryan Kraemer
The project is creating an interactive 3D model of a large archaeological site in southeastern Egypt, Wadi el Hudi using tens of thousands of created from tens of thousands of still images shot by the researchers and student assistants on-site.
Electronic Structures of Inorganic Extended Solids and Quantum Materials, Dr. Joyce Pham
Upon synthesizing new inorganic extended solids/materials, this research uses electronic structures from quantum mechanics to understand what gives rise to the resulting crystalline structures. In particular, VASP employs first-principles to study how electrons in various orbitals interact among one another. Various calculations including formation energies, Bader charge, and pair-wise orbital interactions are employed to provide a guide to our experiments.
Investigations in Statistics, Dr. Suthakaran Ratnasingam
With R and RStudio, Dr. Ratnasingam investigates several topics in Statistics for (undergraduate) research.
Cloud Removal from Satellite Imagery, Dr. Ronald Salloum
We are working on the challenging problem of cloud removal from satellite imagery. Cloud cover significantly hampers the utility of optical remote sensing imagery in Earth observation applications. We are exploring possible improvements to a state-of-the-art deep-learning-based method.