Stony Brook University — CS Research

Computer science research from Stony Brook University, spanning algorithms, computer graphics, and systems.

Sample of the collection (25 of 1,367 items)

• Academic and demographic predictors of high school student knowledge of classical physics, quantum physics, and quantum computing in university-based outreach Stony Brook University With the current growth in quantum information science and technology (QIST) industrial innovation, there is an increasing need to…
• Leveraging Residual Stresses in 3D Printing for Tension-Compression Aware Photoelasticity Stony Brook School Abstract Visualizing and quantifying internal stresses in solids is fundamental to mechanical analysis and design. Photoelasticity, a…
• Robust, Online, and Adaptive Decentralized Gaussian Processes Brookhaven National Laboratory Gaussian processes (GPs) offer a flexible, uncertainty-aware framework for modeling complex signals, but scale cubically with data,…
• Gaussian Process State-Space Models for Irregularly Sampled Sequential Data University of Hong Kong Gaussian process state-space models (GPSSMs) provide a flexible and uncertainty-aware framework for time series analysis, but remain…
• Toward Equitable Access to Technical Training via Multilingual Conversational Agents Stony Brook University The global technical skills gap disproportionately affects non-English-speaking populations who encounter substantial language barriers…
• Trending women in STEM: Visual space-making on TikTok University of Connecticut While previous research has established foundational knowledge on how women in STEM (Science, Technology, Engineering, and Math) social…
• A Comprehensive Review of Machine Learning and Deep Learning Methods for Flood Inundation Mapping University of Kansas Flood inundation mapping (FIM) is essential in disaster risk management, infrastructure planning, and climate adaptation. Traditional…
• From load prediction to resilience diagnosis: a multi-scale framework for power distribution systems University of Electronic Science and Technology of China • Multi-scale framework bridges load forecasting with topological resilience diagnosis. • Retrospective augmentation and spectral…
• Quantum utility in simulating the real-time dynamics of the Fermi–Hubbard model using superconducting quantum computers University of Kansas The Fermi–Hubbard model is a fundamental model in condensed matter physics that describes strongly correlated electrons. On the other…
• Graph theory inspired anomaly detection at the LHC Universidad de Londres A bstract Designing model-independent anomaly detection algorithms for analyzing LHC data remains a central challenge in the search for…
• Scaling State-Space Models on Multiple GPUs with Tensor Parallelism Stony Brook University Selective state space models (SSMs) have rapidly become a compelling backbone for large language models, especially for long-context…
• Toward speedup without quantum coherent access Center for Theoretical Physics Along with the development of quantum technology, finding useful applications of quantum computers has been a central pursuit. Despite…
• Artificial Intelligence in Lubricant Research—Advances in Monitoring and Predictive Maintenance R.N. SHAH et al. Artificial intelligence transforms lubricant research by linking molecular modeling, diagnostics, and industrial operations into…
• Human–Robot Interaction in the AEC Industry: A Review of Augmented and Mixed Reality Applications The University of Texas at Arlington With the architecture, engineering, and construction (AEC) industry transitioning towards Industry 5.0, there is a growing emphasis on…
• Passenger Flow Prediction of Shared Bicycles Based on Convolutional Long Short-Term Memory Network Stony Brook University In recent years, bike-sharing systems have become an integral part of urban transportation, offering residents a convenient, low-cost,…
• CACHE Challenge #3: Targeting the Nsp3 Macrodomain of SARS-CoV-2 University Health Network (CACHE) challenged computational teams to identify chemically novel ligands targeting the macrodomain 1 of SARS-CoV-2 Nsp3, a promising…
• Dimpled frames: morphing attributes, multistability and feeble memory Stony Brook University The rise of mechanically intelligent systems -- that sense, compute and adapt with minimal electronics -- is increasing the need for…
• Characterization of a fiber-coupled SPAD camera system for deep-tissue blood-flow measurement using diffuse correlation spectroscopy Stony Brook University Diffuse correlation spectroscopy (DCS) is a promising technique for noninvasive measurement of blood flow, especially for cerebral blood…
• Enhancing Conceptual Learning in Chemical Engineering and Nanotechnology Through the Flipped‐Classroom Model and AI‐Curated Modules Stony Brook University ABSTRACT As artificial intelligence (AI) tools become more effective at supporting instructional preparation, their use in science,…
• Real-Time Gesture Recognition System for Wireless Wearable Devices Based on the Lightweight MobileViT-S Model Anhui University Gesture recognition technology is the key technology for achieving natural human-computer interaction, especially in resource-limited…
• A multi-objective hierarchical control framework for battery units in DC microgrids using improved adaptive droop control University of Virginia We investigate the primary/secondary control problem for battery units with adaptive droop control in DC microgrids. A majority of…
• AI-Driven Content Curation in Adtech: Enhancing User Engagement Through Personalized Advertising Stony Brook University This study develops a unified lifecycle framework for ethical, bias-aware personalization in advertising technology (adtech), addressing…
• Supply Chain Reaction: Enhancing the Precision of Vulnerability Triage using Code Reachability Information Stony Brook University Software bill of materials (SBOMs) have become a crucial component of large-scale vulnerability triage. Existing SBOM approaches operate…
• Technological Convergence and Innovation Pathways in Sustainable Logistics Systems: An Integrated Graph Neural Network and Main Path Analysis Korea University The sustainable transformation of logistics and supply chains increasingly depends on the convergence of digital and physical…
• Machine learning prediction of a chemical reaction over 8 decades of energy Stony Brook University Recent progress in machine learning has sparked increased interest in utilizing this technology to predict the outcomes of chemical…

Query this set from any AI agent

Agents: a markdown version of this page is at https://publicmcp.org/library/stonybrook.md.