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Ai Test Modeling For Computer Vision System—A Case Study, Jerry Gao, Radhika Agarwal Sep 2025

Ai Test Modeling For Computer Vision System—A Case Study, Jerry Gao, Radhika Agarwal

Faculty Research, Scholarly, and Creative Activity

This paper presents an intelligent AI test modeling framework for computer vision systems, focused on image-based systems. A three-dimensional (3D) model using decision tables enables model-based function testing, automated test data generation, and comprehensive coverage analysis. A case study using the Seek by iNaturalist application demonstrates the framework’s applicability to real-world CV tasks. It effectively identifies species and non-species under varying image conditions such as distance, blur, brightness, and grayscale. This study contributes a structured methodology that advances our academic understanding of model-based CV testing while offering practical tools for improving the robustness and reliability of AI-driven vision applications.

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Uav-Based Transport Management For Smart Cities Using Machine Learning, Sweekruthi Balivada, Jerry Gao, Yuting Sha, Manisha Lagisetty, Damini Vichare Sep 2025

Uav-Based Transport Management For Smart Cities Using Machine Learning, Sweekruthi Balivada, Jerry Gao, Yuting Sha, Manisha Lagisetty, Damini Vichare

Faculty Research, Scholarly, and Creative Activity

Highlights: What are the main findings? A smart transport management system based on UAV data integrating advanced machine learning and deep learning techniques is proposed to enhance road anomaly detection and severity classification. The system employs a comprehensive multi-stage framework, integrating a high-precision obstacle detection model, six specialized severity classification models, and an aggregation model to deliver accurate anomaly assessment, enabling strategic, data-driven road maintenance and enhanced transportation safety. What is the implication of the main finding? A scalable and efficient solution is proposed to enhance road safety and optimize transportation management through intelligent anomaly detection and severity assessment. This …

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Spartan Daily, September 17, 2025, San Jose State University, School Of Journalism And Mass Communications Sep 2025

Spartan Daily, September 17, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 11

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Enhancing Clinical Named Entity Recognition Via Fine-Tuned Bert And Dictionary-Infused Retrieval-Augmented Generation, Soumya Challaru Sreenivas, Saqib Chowdhury, Mohammad Masum Sep 2025

Enhancing Clinical Named Entity Recognition Via Fine-Tuned Bert And Dictionary-Infused Retrieval-Augmented Generation, Soumya Challaru Sreenivas, Saqib Chowdhury, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

Clinical notes often contain unstructured text filled with abbreviations, non-standard terminology, and inconsistent phrasing, which pose significant challenges for automated medical information extraction. Named Entity Recognition (NER) plays a crucial role in structuring this data by identifying and categorizing key clinical entities such as symptoms, medications, and diagnoses. However, traditional and even transformer-based NER models often struggle with ambiguity and fail to produce clinically interpretable outputs. In this study, we present a hybrid two-stage framework that enhances medical NER by integrating a fine-tuned BERT model for initial entity extraction with a Dictionary-Infused Retrieval-Augmented Generation (DiRAG) module for terminology normalization. Our …

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Spartan Daily, September 16, 2025, San Jose State University, School Of Journalism And Mass Communications Sep 2025

Spartan Daily, September 16, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 10

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Evaluation Of Home Modifications For Individuals With Mobility Impairments Using Virtual Reality And Wearable Sensors, Yue Luo, Jithin Gopinadhan, Nicolas S. Grimaldi, Xiaojie Lu, Sherry Ahrentzen, Ravi Srinivasan, Boyi Hu Sep 2025

Evaluation Of Home Modifications For Individuals With Mobility Impairments Using Virtual Reality And Wearable Sensors, Yue Luo, Jithin Gopinadhan, Nicolas S. Grimaldi, Xiaojie Lu, Sherry Ahrentzen, Ravi Srinivasan, Boyi Hu

Faculty Research, Scholarly, and Creative Activity

Background: Home repurposing can help enhance accessibility for people with mobility impairments. However, residents may hesitate to implement such changes without clear evidence showing the effectiveness. Purpose: The study integrates virtual reality (VR) systems and wearable technology to provide the effectiveness evidence of home repurposing, reducing residents’ hesitancy. Here, VR allows residents to compare old and new home designs, while wearables offer direct evidence through motion and task analysis. Methods: Twenty-one participants conducted two consecutive activities of daily living (i.e., relocating the robe and going to the bathroom) in original and redesigned bedrooms simulated in the VR system. Participants’ performance …

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Scoping Review Of Sexual And Gender Minority Health Research In Ireland, John P. Gilmore, Tonda L. Hughes, Sean Kearns, Laurie A. Drabble, Diarmuid Stokes, Siobhán D. Thomas, Chris Noone, Lauren Bochicchio Sep 2025

Scoping Review Of Sexual And Gender Minority Health Research In Ireland, John P. Gilmore, Tonda L. Hughes, Sean Kearns, Laurie A. Drabble, Diarmuid Stokes, Siobhán D. Thomas, Chris Noone, Lauren Bochicchio

Faculty Research, Scholarly, and Creative Activity

Aim: To map existing sexual and gender minority (SGM) health research in Ireland, identify gaps in literature and outline priorities for future research and healthcare. SGM is an umbrella term that includes people who identify as lesbian, gay, bisexual, transgender, queer or intersex and is sometimes abbreviated as LGBTQI+. Design: A scoping review of peer-reviewed studies published between 2014 and 2024. Methods: The review followed Joanna Briggs Institute (JBI) guidelines and PRISMA-ScR framework for scoping reviews. Articles were identified through systematic database searches and screened independently by reviewers. Data Sources: PubMed, PsycINFO, CINAHL and Embase were searched for articles published …

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Uneven Sustainability In Academic Publishing: A Call For Transparency And Collaboration, Lili Luo Sep 2025

Uneven Sustainability In Academic Publishing: A Call For Transparency And Collaboration, Lili Luo

Faculty Research, Scholarly, and Creative Activity

Objective – To assess the sustainability practices of academic publishers and their alignment with library collection management, and to determine the nature of sustainable partnership opportunities at the intersection of library and publisher practices. Design – A cross-sectional, unobtrusive analysis of existing content. Setting – The academic publishing industry. Subjects – Sustainability practices from 16 international academic publishers selected based on their prominence in Western Libraries' print book acquisitions. Methods – The Green Audit Template, a rubric based on the United Nations’ (UN) Sustainable Development Goals (SDGs) and industry standards and inspired by lifecycle assessment (LCA) approach, was employed to …

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(De)Centralized Water Futures: Key Dimensions Of Infrastructure, Governance, And Operations, Alicia Dailey Cooperman, Jenny Linder Rempel, Ellis Adjei Adams, Alida Cantor, Manuela Muñoz Fuerte, Jeremiah Osborne-Gowey, Nicole J. Wilson, Cassandra L. Workman, Melissa Beresford, Leila M. Harris, Linda E. Méndez-Barrientos, Sameer H. Shah, Amber Wutich, Justin Stoler Sep 2025

(De)Centralized Water Futures: Key Dimensions Of Infrastructure, Governance, And Operations, Alicia Dailey Cooperman, Jenny Linder Rempel, Ellis Adjei Adams, Alida Cantor, Manuela Muñoz Fuerte, Jeremiah Osborne-Gowey, Nicole J. Wilson, Cassandra L. Workman, Melissa Beresford, Leila M. Harris, Linda E. Méndez-Barrientos, Sameer H. Shah, Amber Wutich, Justin Stoler

Faculty Research, Scholarly, and Creative Activity

Water system centralization and decentralization have variously been promoted as key to achieving household water security and Sustainable Development Goal 6.1. We argue that the lack of specificity with which scholars and practitioners use the terms centralization and decentralization limits our understanding of different water system configurations and their impacts. In this Primer, we provide a framework for thinking about levels of (de)centralization across three linked system dimensions: infrastructure, governance, and operations and maintenance. We encourage those analyzing water systems to characterize (de)centralization with respect to these multiple dimensions, as well as the system's broader political-economic and hydro-climatic contexts. Emphasizing …

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Rhizosolenia Mat Diatoms Associate With Nitrogen-Fixing Microbes, Kendra Turk-Kubo, Mar Benavides, Matthew M. Mills, Sarah R. Smith Sep 2025

Rhizosolenia Mat Diatoms Associate With Nitrogen-Fixing Microbes, Kendra Turk-Kubo, Mar Benavides, Matthew M. Mills, Sarah R. Smith

Faculty Research, Scholarly, and Creative Activity

Some Rhizosolenia diatoms living in oligotrophic marine ecosystems are known to form large, conspicuous mats and are thought to be sources of new nitrogen to surface waters via vertical migration to the nitracline where subsurface nitrate is accessed for growth. These vertically migrating Rhizosolenia mats are chronically under sampled, and both the diatom species comprising the mats and the associated microbiome have not been characterized using modern molecular techniques. Here we present the first DNA-based analysis of Rhizosolenia mats collected in the North Pacific Subtropical Gyre. Using sequencing of 18S rRNA and nifH genes (a proxy for N2 fixation capacity), …

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Transcultural Competence And Empathy In Language Education: Imagining The Unimaginable, Michiko Uryu Sep 2025

Transcultural Competence And Empathy In Language Education: Imagining The Unimaginable, Michiko Uryu

Faculty Research, Scholarly, and Creative Activity

The 2007 MLA report offered guidelines and competencies for foreign language majors at American universities in the age of globalization. The notion of translingual and transcultural competence suggests that today’s foreign language education is not merely a matter of language acquisition, but humanistic learning. The ultimate goal for foreign language learners should be to gain alternative ways of seeing the world, namely, “imagining the unimaginable” (Ozick, 1987). This underscores the central importance of empathy in foreign language education. Yet the true challenge lies in how to assess such an abstract concept. Even eighteen years since its initial publication, the report …

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Hemispheric Asymmetry Of Phase Partition In Mixed-Phase Clouds Based On Near Global-Scale Airborne Observations, Ching An Yang, Minghui Diao, Yang Shi, Xiaohong Liu Sep 2025

Hemispheric Asymmetry Of Phase Partition In Mixed-Phase Clouds Based On Near Global-Scale Airborne Observations, Ching An Yang, Minghui Diao, Yang Shi, Xiaohong Liu

Faculty Research, Scholarly, and Creative Activity

Mixed-phase clouds contribute to substantial uncertainties in global climate models due to their complex microphysical properties. Former model evaluations almost exclusively rely on satellite observations to assess cloud phase distributions globally. This study investigated mixed-phase cloud properties using near global-scale in situ observation data sets from 14 flight campaigns in combination with collocated output from a global climate model. The Southern Hemisphere (SH) shows significantly higher occurrence frequencies and higher mass fractions of supercooled liquid water than Northern Hemisphere (NH) based on observations at 0.2 and 100 km horizontal scales. Such hemispheric asymmetry is not captured by the model. The …

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Spartan Daily, September 11, 2025, San Jose State University, School Of Journalism And Mass Communications Sep 2025

Spartan Daily, September 11, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 9

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Temperature And Pressure Shaped The Evolution Of Antifreeze Proteins In Polar And Deep Sea Zoarcoid Fishes, Samuel N. Bogan, Nathan Surendran, Scott Hotaling, Thomas Desvignes, Iliana Bista, Luana S.F. Lins, Mari H. Eilertsen, Nathalie R. Le François, Tait Algayer, Scott L. Hamilton, Paul B. Frandsen, Federico G. Hoffmann, Joanna L. Kelley Sep 2025

Temperature And Pressure Shaped The Evolution Of Antifreeze Proteins In Polar And Deep Sea Zoarcoid Fishes, Samuel N. Bogan, Nathan Surendran, Scott Hotaling, Thomas Desvignes, Iliana Bista, Luana S.F. Lins, Mari H. Eilertsen, Nathalie R. Le François, Tait Algayer, Scott L. Hamilton, Paul B. Frandsen, Federico G. Hoffmann, Joanna L. Kelley

Faculty Research, Scholarly, and Creative Activity

Antifreeze proteins (AFPs) have enabled teleost fishes to repeatedly colonize polar seas. Four AFP types have convergently evolved in several fish lineages. AFPs inhibit ice crystal growth and lower tissue freezing point. In lineages with AFPs, species inhabiting colder environments may possess more AFP copies. Elucidating how differences in AFP copy number evolve is challenging due to the genes' tandem array structure and consequently poor resolution of these repetitive regions. Here, we explore the evolution of type III AFPs (AFP III) in the globally distributed suborder Zoarcoidei, leveraging six new long-read genome assemblies. Zoarcoidei has fewer genomic resources relative to …

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Aisstream-Mcp: A Real-Time Memory-Augmented Question-Answering System For Maritime Operations, Sien Chen, Ruoxian Zhao, Jian Bo Yang, Yinghua Huang Sep 2025

Aisstream-Mcp: A Real-Time Memory-Augmented Question-Answering System For Maritime Operations, Sien Chen, Ruoxian Zhao, Jian Bo Yang, Yinghua Huang

Faculty Research, Scholarly, and Creative Activity

Ports and maritime operations generate massive real-time data streams, particularly from Automatic Identification System (AIS) signals, which are challenging to query effectively using natural language. This study proposes a prototype AISStream-MCP, a memory-augmented real-time maritime question-answering (QA) system that integrates live AIS data streaming with a Model Context Protocol (MCP) toolchain to support port operations decision-making. The system combines a large language model (LLM) with four MCP-enabled modules: persistent dialogue memory, live AIS data query, knowledge graph lookup, and result evaluation. We hypothesize that augmenting an LLM with domain-specific tools significantly improves QA performance compared to systems without memory or …

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Spartan Daily, September 10, 2025, San Jose State University, School Of Journalism And Mass Communications Sep 2025

Spartan Daily, September 10, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 8

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Spartan Daily, September 9, 2025, San Jose State University, School Of Journalism And Mass Communications Sep 2025

Spartan Daily, September 9, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 7

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Spartan Daily, September 4, 2025, San Jose State University, School Of Journalism And Mass Communications Sep 2025

Spartan Daily, September 4, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 6

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Climate Change-Related Threats To Railroads: Implications For Threat, Hazard And Risk Assessment, Frances L. Edwards, Daniel C. Goodrich Sep 2025

Climate Change-Related Threats To Railroads: Implications For Threat, Hazard And Risk Assessment, Frances L. Edwards, Daniel C. Goodrich

Faculty Research, Scholarly, and Creative Activity

Climate change has created new challenges for railroads around the world. The rail systems operate in open environments, subjecting them to increased heat, changing locations of heavy rains, developing sea level rise and storm surge, and a longer and stronger wildfire season. This research investigates how an updated threat and hazard identification and risk assessment (THIRA) can lead to the development of climate adaptation strategies that limit damage and disruption to the railroad enterprise. The THIRA analyzes which threats are of most concern in a specific rail segment, and which climate change adaptation strategies give a beneficial return on investment.

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Spartan Daily, September 3, 2025, San Jose State University, School Of Journalism And Mass Communications Sep 2025

Spartan Daily, September 3, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 5

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Prevalence Of Exposures And Moral Injury In First Responders, Shira Maguen, Soma De Bourbon, Adam Batten, Michael Mason, April Sloan, Daniel Nazzareta, Joseph Graterol, Simon Pang, Miranda Worthen Sep 2025

Prevalence Of Exposures And Moral Injury In First Responders, Shira Maguen, Soma De Bourbon, Adam Batten, Michael Mason, April Sloan, Daniel Nazzareta, Joseph Graterol, Simon Pang, Miranda Worthen

Faculty Research, Scholarly, and Creative Activity

Objectives: Workers in high-stakes occupations, such as first responders, are at risk of exposure to potentially morally injurious events (PMIEs) and moral injury, yet research with first responders has been scarce. This study aimed to assess the frequency of exposure to PMIEs, the prevalence of moral injury, and the correlation between moral injury and other mental health symptoms. Methods: In this cross-sectional study, firefighters, emergency medical technicians (EMTs), and paramedics working for a large urban Fire Department in California were invited to complete an online, confidential survey using validated scales to assess exposure to PMIEs, moral injury symptoms, and symptoms …

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Acoustic Wave Manipulation Through Sparse Robotic Actuation, Tristan Shah, Noam Smilovich, Feruza Amirkulova, Samer Gerges, Stas Tiomkin Sep 2025

Acoustic Wave Manipulation Through Sparse Robotic Actuation, Tristan Shah, Noam Smilovich, Feruza Amirkulova, Samer Gerges, Stas Tiomkin

Faculty Research, Scholarly, and Creative Activity

Recent advancements in robotics, control, and machine learning have facilitated progress in the challenging area of object manipulation. These advancements include, among others, the use of deep neural networks to represent dynamics that are partially observed by robot sensors, as well as effective control using sparse control signals. In this work, we explore a more general problem: the manipulation of acoustic waves, which are partially observed by a robot capable of influencing the waves through spatially sparse actuators. This problem holds great potential for the design of new artificial materials, ultrasonic cutting tools, energy harvesting, and other applications. We develop …

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Using Large Language Models To Investigate The Origin Of Chronic Wasting Disease, G. Kent Webb Sep 2025

Using Large Language Models To Investigate The Origin Of Chronic Wasting Disease, G. Kent Webb

Faculty Research, Scholarly, and Creative Activity

This use case reports on the impressive output, hallucinations, instability, and limitations of three Large Language Models (LLMs): ChatGPT, Gemini, and Grok. The LLMs were prompted in an investigative sequence and responses checked. The collected information supports the common theory that chronic wasting disease (CWD) in North America originated in 1967 at a research facility in Fort Collins, Colorado, where deer were reported to have been exposed to sheep with a similar disease - scrapie. Findings include that: no sheep with scrapie were detected in the area around Fort Collins prior to 1967; domestic sheep reportedly exposed to scrapie were …

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Exploring The Use And Misuse Of Large Language Models, Hezekiah Paul D. Valdez, Faranak Abri, Jade Webb, Thomas H. Austin Sep 2025

Exploring The Use And Misuse Of Large Language Models, Hezekiah Paul D. Valdez, Faranak Abri, Jade Webb, Thomas H. Austin

Faculty Research, Scholarly, and Creative Activity

Language modeling has evolved from simple rule-based systems into complex assistants capable of tackling a multitude of tasks. State-of-the-art large language models (LLMs) are capable of scoring highly on proficiency benchmarks, and as a result have been deployed across industries to increase productivity and convenience. However, the prolific nature of such tools has provided threat actors with the ability to leverage them for attack development. Our paper describes the current state of LLMs, their availability, and their role in benevolent and malicious applications. In addition, we propose how an LLM can be combined with text-to-speech (TTS) voice cloning to create …

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Deep Learning-Based Drowsiness Detection System For Driver’S Safety, Sindhu Vidyanathan Dixith, Shrikant Jadhav, Youngsoo Kim, Naveenkumar Jayakumar Sep 2025

Deep Learning-Based Drowsiness Detection System For Driver’S Safety, Sindhu Vidyanathan Dixith, Shrikant Jadhav, Youngsoo Kim, Naveenkumar Jayakumar

Faculty Research, Scholarly, and Creative Activity

Driver drowsiness is a leading contributor to road accidents, accounting for over 100,000 crashes and approximately ~1000 fatalities each year in the United States alone, as per National Safety Council (NSC). To mitigate this urgent public-safety risk, we propose a real-time Driver Drowsiness Detection System that achieves both high accuracy and fast inference on standard hardware. Our key idea is to combine two complementary deep-learning strategies: 1) a custom Convolutional Neural Network (CNN) paired with a Support Vector Machine (SVM) classifier, and 2) a lightweight transfer-learning model built upon a pre-trained convolutional backbone. We evaluate these approaches on two datasets: …

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Decadal Change In Deep-Ocean Dissolved Oxygen In The North Atlantic Ocean And North Pacific Ocean, Henry A. Ruhl, Christine L. Huffard, Monique Messié, Thomas P. Connolly, Thomas Soltwedel, Frank Wenzhöfer, Rodney J. Johnson, Nicholas R. Bates, Susan Hartman, Anita Flohr, Edward W. Mawji, David M. Karl, James Potemra, Fernando Santiago-Mandujano, Tetjana Ross, Kenneth L. Smith Sep 2025

Decadal Change In Deep-Ocean Dissolved Oxygen In The North Atlantic Ocean And North Pacific Ocean, Henry A. Ruhl, Christine L. Huffard, Monique Messié, Thomas P. Connolly, Thomas Soltwedel, Frank Wenzhöfer, Rodney J. Johnson, Nicholas R. Bates, Susan Hartman, Anita Flohr, Edward W. Mawji, David M. Karl, James Potemra, Fernando Santiago-Mandujano, Tetjana Ross, Kenneth L. Smith

Faculty Research, Scholarly, and Creative Activity

Declining dissolved oxygen concentrations are documented at upper and mid ocean depths, but less is known about the deep ocean. Long time-series measurements of dissolved oxygen analyzed with Winkler titration over several decades reveal regional differences at six stations in the abyssal North Atlantic Ocean and North Pacific Ocean. A significant decline in dissolved oxygen was evident at two stations in the northeast Pacific Ocean at 4000–4200 m depth (Stations PAPA and M). A similar decreasing but insignificant trend was recorded in the Arctic region of the North Atlantic Ocean (HAUSGARTEN). However, there was no significant decrease in dissolved oxygen …

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Covid-19 Prevention Behaviors Are Congruent Within Social Networks Of Disenfranchised Hispanic And Criminal Legal Involved Community Members, Victoria Umutoni, Khavita Bhavan, Nickolas Zaller, Amelia Knopf, Moctezuma Garcia, Russell A. Brewer, Makenna Meyer, Faye Taxman, O’Dell Johnson, Matthew Aalsma, John Schneider Aug 2025

Covid-19 Prevention Behaviors Are Congruent Within Social Networks Of Disenfranchised Hispanic And Criminal Legal Involved Community Members, Victoria Umutoni, Khavita Bhavan, Nickolas Zaller, Amelia Knopf, Moctezuma Garcia, Russell A. Brewer, Makenna Meyer, Faye Taxman, O’Dell Johnson, Matthew Aalsma, John Schneider

Faculty Research, Scholarly, and Creative Activity

The COVID-19 (COVID) pandemic has had a disproportionate impact on people who have low income and identify as Hispanic or Latinx (PLIH) as well as those with criminal Legal Involvement (CLI). These two groups, and their intersection, are often disenfranchised from livable wage employment, basic social services, and healthcare, which are vital to prevent the spread of COVID. We examined baseline data from the Community Network-Driven COVID Testing of Marginalized Population in the Central US (C3) which included 1036 participants: 32.1% PLIH, 39.6% CLI, 10.6% who identified as both PLIH and CLI, and 17.6% who were neither PLIH nor CLI. …

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Spartan Daily, August 28, 2025, San Jose State University, School Of Journalism And Mass Communications Aug 2025

Spartan Daily, August 28, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 4

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Spartan Daily, August 27, 2025, San Jose State University, School Of Journalism And Mass Communications Aug 2025

Spartan Daily, August 27, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 3

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Accelerating The Fusion Workforce In The Usa, Carlos Paz-Soldan, Eva Belonohy, Troy Carter, Laleh E. Coté, Evdokiya Kostadinova, Calvin Lowe, Subash L. Sharma, Sybil De Clark, Jaydeep Deshpande, Kate Kelly, Bobbi Makani, David A. Schaffner, Kathreen E. Thome Aug 2025

Accelerating The Fusion Workforce In The Usa, Carlos Paz-Soldan, Eva Belonohy, Troy Carter, Laleh E. Coté, Evdokiya Kostadinova, Calvin Lowe, Subash L. Sharma, Sybil De Clark, Jaydeep Deshpande, Kate Kelly, Bobbi Makani, David A. Schaffner, Kathreen E. Thome

Faculty Research, Scholarly, and Creative Activity

The fusion energy research and development landscape has seen significant advances in recent years, with important scientific and technological breakthroughs and a rapid rise of investment in the private sector. The workforce needs of the nascent fusion industry are growing at a rate that academic workforce development programs are not currently able to match. This paper presents the findings of the Workforce Accelerator for Fusion Energy Development Conference held in Hampton, Virginia, United States of America (USA), on 29-30 May 2024, which was funded by the National Science Foundation of the USA. A major goal of the conference was to …

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