University Scholarship
Publications and Grants

Subject: Artificial intelligence

FAST ID: 817247 | WorldCat Record

Grants

Enhancing Library Access for Humanities Research
Lucy Campbell; Keven Jeffery
Gladys Krieble Delmas Foundation, 2026 - 2026, USD 12,200.00, University Library
Academic libraries Artificial intelligence Humanities Information services Libraries and education
POSE: Phase I: An Open-Source Ecosystem for the Mimetic Operators Library Enhanced (MOLE)
Valeria Barra
Directorate for Technology, Innovation and Partnerships, 2024 - 2025, USD 320,000.00, Department of Mathematics and Statistics, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Machine learning Open source software Operator theory
Using AI Models to Catalog California State Documents
Kate Holvoet
San Diego State University, 2024 - 2025, USD 7,500.00, University Library
Artificial intelligence California Cataloging State government publications
Using AI Models to Catalog California State Documents
Nerissa Lindsey
San Diego State University, 2023 - 2025, USD 7,500.00, University Library
Artificial intelligence California Machine learning Natural language processing

Academic Publications

AA-DiT: An Algorithm-Architecture Co-Design for Diffusion Transformer Acceleration
Siqi Li; Flavio Ponzina; Tajana Rosing
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2026, journal article, Department of Electrical and Computer Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Computer architecture Machine learning Transformers
Constraint-Scheduled Bayesian Optimization for Software-Hardware Co-Optimization on HDnn-PIM
Chien-Yi Yang; Flavio Ponzina; Minxuan Zhou; Raid Ayoub; Pietro Mercati; Tajana Rosing
Artificial intelligence Computer architecture Machine learning Neural networks (Computer science)
Evaluating Large Language Models for Triple Extraction from Chinese Historical Geographic Sources: A Case Study Using Sources from the China Historical GIS Project
Greta Heng; Eric H. C. Chow; Lihong Zhu; Xiaoli Li
Journal of Library Metadata, 2026, journal article, University Library
Artificial intelligence China Geodatabases Information retrieval Linked data
Generative AI as Support Infrastructure: A Design Theory of Inclusive Intelligence
Kaveh Abhari; Hossein Shirazi; Morteza Safaei Pour; Reut Segal
Artificial intelligence Assistive computer technology Machine learning Natural language processing
Generative AI Meets Cataloging Practice: Findings from a Comparative Pilot Study
Greta Heng; Patricia Lampron; Myung-Ja Han
Information Technology and Libraries, 2026, journal article, University Library
Artificial intelligence Cataloging
Semantic-Gravity Iterative Closest Point and AI-assisted navigation for Robot-Ready Construction Digital Twins
Reza Akhavian; Mani Amani; Johannes Mootz; Behrad Beheshti; Robert Ashe
Artificial intelligence Building information modeling Digital twins (Computer simulation) Robotics
The Impact of Educational LLM Agent Use on Teachers’ Curriculum Content Creation: The Chain Mediating Role of School Support and Teacher Self-Efficacy
Huifen Xu; Minjing Chen; Minjuan Wang; Jijian Lu
Artificial intelligence Curriculum planning Machine learning Natural language processing
Transparent AI Tools for Libraries: Creating the OneSearch Assistant
Lucy Campbell; Keven Jeffery
Information Technology and Libraries, 2026, journal article, University Library
Academic libraries Artificial intelligence Digital libraries Library research Natural language processing
A Comprehensive Survey on Large-Language-Model-Based Agents for Education
Yang, J.; Minjuan Wang; Du, X.; Na, R.
IEEE Transactions on Learning Technologies, 2025, journal article, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Artificial intelligence Educational technology Intelligent tutoring systems Natural language processing
AI, Acronyms, and the Future of Facets: Mnemonics as Heuristic Instructional Tools for Structuring GenAI Prompts
Lucy Campbell; Rebecca Nowicki; Keven Jeffery
Qualitative and Quantitative Methods in Libraries, 2025, journal article, University Library
Artificial intelligence Library research Machine learning Mnemonics
Autonomous Search of Real-Life Environments Combining Dynamical System-Based Path Planning and Unsupervised Learning
Uyiosa Philip Amadasun; Patrick Mcnamee; Zahra Nili Ahmadabadi; Peiman Naseradinmousavi
Artificial intelligence Autonomous robots Machine learning Robotics
Building Trust in AI Through Dialogues With Eastern Ethics: Toward Ethical Partnerships in Education
Lee, J.C.-K.; Dede, C.; Minjuan Wang; Li, X.
IEEE Transactions on Learning Technologies, 2025, journal article, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Artificial intelligence Ethics Natural language processing Trust
Culturally-attuned AI: Implicit learning of altruistic cultural values through inverse reinforcement learning
Nigini Oliveira; Jasmine Li; Koosha Khalvati; Rodolfo Cortes Barragan; et al.
Altruism Artificial intelligence Machine learning Reinforcement learning
DSRnet: Hybrid Deep Learning-Based Channel Estimation for RIS-Aided Wireless Communication
Syed Samiul Alam; Haolin Tang; Guang Yang; Changqing Luo; Wei Wang; Yanxiao Zhao
Lecture Notes in Computer Science, 2025, book chapter, Department of Computer Science, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Deep learning (Machine learning) Neural networks (Computer science) Wireless communication systems
Editorial: Journey to the Future: Extended Reality and Intelligence Augmentation
Minjuan Wang; Lee, J.C.-K.
IEEE Transactions on Learning Technologies, 2025, journal article, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Artificial intelligence Augmented reality Technology Virtual reality
Empowering Consumers: The Role of Avatar Choice in Consumer-Chatbot Interaction and Psychological Ownership
Xiaohan Hu; Xiaoyu Xu; Chen (Crystal) Chen
International Journal of Human–Computer Interaction, 2025, journal article, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Artificial intelligence Chatbots Human-computer interaction Natural language processing
Enhancing the flipped classroom model with generative AI and Metaverse technologies: insights from lag sequential and epistemic network analysis
Chu, X.; Minjuan Wang; et al.
Educational Technology Research and Development, 2025, journal article, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Artificial intelligence Educational technology Flipped classrooms Natural language processing
GlucoseHD: Predicting Glucose Levels Using Hyperdimensional Computing
Flavio Ponzina; Mialyssa Gomez; Congge Xu; Tajana Šimunić Rosing
Artificial intelligence Bioinformatics Diabetes Machine learning
Navigating the Textual Maze: Enhancing Textual Analytical Skills Through an Innovative GAI Prompt Framework
Li, X.; Li, T.; Minjuan Wang; et al.
IEEE Transactions on Learning Technologies, 2025, journal article, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Artificial intelligence Critical thinking Machine learning Natural language processing
Preface to the Special Issue-Reviews (IWARA 2024)
Fridolin Weber
Astronomische Nachrichten, 2025, journal article, Department of Physics
Artificial intelligence Computer vision Machine learning Robotics
The importance of process in inquiry: Why ChatGPT and other AI chatbots don’t offer the shortcut we think they do
Suzanne Maguire
Journal of Information Ethics, 2025, journal article, University Library
Artificial intelligence Information literacy Misinformation Undergraduates
Transforming Education With Generative AI (GAI): Key Insights and Future Prospects
Lang, Q.; Minjuan Wang; Yin, M.; Liang, S.; Song, W.
IEEE Transactions on Learning Technologies, 2025, journal article, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Academic achievement Artificial intelligence Educational technology Natural language processing
A Survey of Knowledge Tracing: Models, Variants, and Applications
Shen, S.; Shuanghong Shen; Liu, Q.; Qi Liu; Huang, Z.; Zhenya Huang; Yonghe Zheng; Zheng, Y.; Minghao Yin; Yin, M.; Minjuan Wang; et al.
IEEE Transactions on Learning Technologies, 2024, journal article, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Artificial intelligence Educational technology Machine learning Modeling
An Energy Efficient Soft SIMD Microarchitecture and Its Application on Quantized CNNs
Pengbo Yu; Flavio Ponzina; et al.
IEEE Transactions on Very Large Scale Integration (Vlsi) Systems, 2024, journal article, Department of Electrical and Computer Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Computer architecture Neural networks (Computer science) SIMD (Computer architecture)
Assessing Trust in Construction AI-Powered Collaborative Robots Using Structural Equation Modeling
Newsha Emaminejad; Lisa Kath; Reza Akhavian
Artificial intelligence Construction industry Robotics Trust
Modeling Student Performance Using Feature Crosses Information for Knowledge Tracing
Lixiang Xu; Xu, L.; Wang, Z.; Zhanlong Wang; Suojuan Zhang; Zhang, S.; Xin Yuan; Yuan, X.; Minjuan Wang; et al.
IEEE Transactions on Learning Technologies, 2024, journal article, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Academic achievement Artificial intelligence Data mining Machine learning
Study of Reconfigurable Intelligent Surface Deployment for Non-Orthogonal Multiple Access Wireless Communication Networks
Guga Esitashvili; Krishna Murthy Kattiyan Ramamoorthy; Wei Wang; Yanxiao Zhao
Lecture Notes in Networks and Systems, 2024, book chapter, Department of Computer Science, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Machine learning Wireless communication systems
The Impact of Artificial General Intelligence-Assisted Project-Based Learning on Students' Higher Order Thinking and Self-Efficacy
Zheng, R.; Xu, H.; Minjuan Wang; Lu, J.
IEEE Transactions on Learning Technologies, 2024, journal article, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Artificial intelligence Machine learning Natural language processing Student-centered learning
Unleashing ChatGPT's Power: A Case Study on Optimizing Information Retrieval in Flipped Classrooms via Prompt Engineering
Mo Wang; Minjuan Wang; et al.
IEEE Transactions on Learning Technologies, 2024, journal article, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Artificial intelligence Flipped classrooms Machine learning Natural language processing
世界一流高校探索生成式人工应用规范的经验及对我国的启示——基于LDA主题模型分析的文本挖掘.
Minjuan Wang
Artificial intelligence China Education Machine learning
Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference
Marco Rios; Flavio Ponzina; Alexandre Levisse; Giovanni Ansaloni; David Atienza
IEEE Transactions on Emerging Topics in Computing, 2023, journal article, Department of Electrical and Computer Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Computer architecture Natural language processing Neural networks (Computer science)
Chaotic Motion Planning for Mobile Robots: Progress, Challenges, and Opportunities
Ahuraka, F.; Farida Ahuraka; McNamee, P.; Patrick Mcnamee; Qixu Wang; Wang, Q.; Ahmadabadi, Z.N.; Zahra Nili Ahmadabadi; et al.
Artificial intelligence Autonomous robots Mobile robots
Overflow-free Compute Memories for Edge AI Acceleration
Flavio Ponzina; Marco Rios; Alexandre Levisse; Giovanni Ansaloni; David Atienza
Acm Transactions on Embedded Computing Systems, 2023, journal article, Department of Electrical and Computer Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Edge computing Machine learning Microprocessors
Riding a bicycle while building its wheels: the process of machine learning-based capability development and IT-business alignment practices
Mucha, T.; Ma, S.; Kaveh Abhari
Artificial intelligence Cycling Information technology Machine learning
Application of machine learning approaches in the analysis of mass absorption cross-section of black carbon aerosols: Aerosol composition dependencies and sensitivity analyses
Andrew A. May; Hanyang Li
Artificial intelligence Atmospheric chemistry Environmental sciences Machine learning
Constructing an Edu-Metaverse Ecosystem: A New and Innovative Framework
Minjuan Wang; et al.
IEEE Transactions on Learning Technologies, 2022, journal article, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Artificial intelligence Educational technology Internet VIRTUAL REALITY IN EDUCATION
Estimating mass-absorption cross-section of ambient black carbon aerosols: Theoretical, empirical, and machine learning models
Hanyang Li; Andrew A. May
Artificial intelligence Carbon-black Machine learning
Improving quantitative analysis of spark-induced breakdown spectroscopy: Multivariate calibration of metal particles using machine learning
Hanyang Li; Leonardo Mazzei; Christopher D. Wallis; Anthony S. Wexler
Artificial intelligence Calibration Machine learning Spectrum analysis
The Effect of Multi-mode Stimuli of Feedforward and Eye Tracking on Metacognition— An Exploratory Study Using Digital Dictionaries
Minjuan Wang; et al.
Artificial intelligence Cognitive psychology Human-computer interaction Metacognition
教育元宇宙：新一代互联网教育形态的创新与挑战
Minjuan Wang
Artificial intelligence Education Metaverse Virtual reality
Agent-Based Modeling
Atsushi Nara
Oxford Bibliographies in Geography, 2021, book chapter, Department of Geography, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Complex adaptive systems Computer simulation System analysis
An interaction-based bayesian network framework for surgical workflow segmentation
Luo, N.; Nana Luo; Atsushi Nara; Izumi, K.; Kiyoshi Izumi
International Journal of Environmental Research and Public Health, 2021, journal article, Department of Geography, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Diagnostic imaging Machine learning Surgery
Online search of unknown terrains using a dynamical system-based path planning approach
Zahra Nili Ahmadabadi
Artificial intelligence Dynamics Geographic information systems Robotics
A multi-system chaotic path planner for fast and unpredictable online coverage of terrains
Karan Sridharan; Sridharan, K.; Sridharan, Karan; Zahra Nili Ahmadabadi
IEEE Robotics and Automation Letters, 2020, journal article, Department of Mechanical Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Chaotic behavior in systems Online algorithms Robotics
Design and Implementation of Augmented Reality for English Language Education
Zhang, D.; Minjuan Wang; Wu, J.G.
Springer Series on Cultural Computing, 2020, book chapter, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Artificial intelligence Augmented reality in education Educational technology English Language Education Council
Team-based mobile learning supported by an intelligent system: case study of STEM students
Zhu, Q.; Minjuan Wang
Artificial intelligence Case studies Educational technology Intelligent tutoring systems
Coupling human activity recognition and wearable sensors for data-driven construction simulation
Reza Akhavian; Behzadan, A.H.
Artificial intelligence Construction industry Human activity recognition Machine learning
Convolutional autoregressive models for functional time series
Xialu Liu
Artificial intelligence Deep learning (Machine learning) Machine learning Time-series analysis
Construction equipment activity recognition for simulation input modeling using mobile sensors and machine learning classifiers
Reza Akhavian; Behzadan, A.H.
Artificial intelligence Classifiers (Linguistics) Construction equipment Machine learning
Closure to "Knowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining" by Reza Akhavian and Amir H. Behzadan
Reza Akhavian; Behzadan, A.H.
Artificial intelligence Data mining Machine learning Process mining
Erratum: "knowledge-based simulation modeling of construction fleet operations using multimodal-process data mining" by Reza Akhavian and Amir H. Behzadan
Reza Akhavian; Behzadan, A.H.
Artificial intelligence Data mining Machine learning Natural language processing
Design and implementation of C-iLearning: A cloud-based intelligent learning system
Xiao, J.; Minjuan Wang; Wang, L.; Zhu, X.
International Journal of Distance Education Technologies, 2013, journal article, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Artificial intelligence Cloud computing Educational technology Intelligent tutoring systems
Talking while Computing in Groups: The Not-So-Private Functions of Computational Private Speech in Mathematical Discussions
William Zahner; Judit Moschkovich
Artificial intelligence Communication in small groups Educational technology Human-computer interaction
Community-organizing agent: An artificial intelligent system for building learning communities among large numbers of learners
Yang, F.; Minjuan Wang; Shen, R.; Han, P.
Artificial intelligence Machine learning Student learning communities
The Impact of Artificial General Intelligence-Assisted Project-Based Learning on Students’ Higher Order Thinking and Self-Efficacy
Minjuan Wang
Artificial intelligence Machine learning Project method in teaching Self-efficacy

Conference Presentations

Assessing the environmental ethics of artificial intelligence: Applying the SDSU ethical AI assessment tool in academic contexts. [Virtual Presentation]
Michelle Mussuto; Sarah Tribelhorn
Csu Libraries Conference: Building Community, June 2, 2026, 2026, conference presentation, University Library
Artificial intelligence Educational technology Environmental ethics San Diego State University
Community-embedded artificial intelligence literacies: Critical frameworks of research, praxis, and authentic impact [Panel]
Bharat Mehra; Sarah Tribelhorn; Kuun Lu; Darra Hofman; Souvick Ghosh
Iconference 2026, March 29–April 2, 2026, Edinburgh, Scotland, Uk, 2026, conference presentation, University Library
Academic libraries Artificial intelligence Critical theory Literacy
Defining and Implementing AI Literacy Education Programs Across the CSU: An Update and Preliminary Report
Lucy Campbell
Csu Libraries Conference, 2026, conference paper, University Library
Artificial intelligence California State University Education, Higher Educational technology
From Questions to Queries: Using AI to surface metadata in library search
Lucy Campbell; Keven Jeffery
Cilip Metadata & Discovery Group Conference, 2026, conference paper, University Library
Artificial intelligence Library research Library science Metadata
From Questions to Queries: Using AI to surface metadata in library search
Lucy Campbell
Cilip Metadata & Discovery Group 2026, 2026, conference poster, University Library
Artificial intelligence Natural language processing Querying (Computer science) Question-answering systems
Prompting the Primo Search API for Pedagogical Purposes: Building an AI Discovery Assistant
Lucy Campbell; Keven Jeffery
Ex Libris User Group of North America Annual Conference, 2026, conference presentation, University Library
Artificial intelligence Educational technology Library catalogs Library research
QMC: Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design
Nilesh Prasad Pandey; Jangseon Park; Onat Gungor; Flavio Ponzina; Tajana Rosing
Artificial intelligence Electronics in military engineering Machine learning Neural networks (Computer science)
ACRL AI Competencies for Library Workers
Keven Jeffery; Jason Coleman
Generative Ai in Libraries (Gail) Virtual Conference, 2025, conference presentation, University Library
Academic libraries Artificial intelligence Association of College and Research Libraries Core competencies
AI guiding principles at SDSU Library. [Virtual Presentation]
Lucy Campbell; Connor Franklin Rey; Keven Jeffery; Rayyon Robinson; Sarah Tribelhorn
Ecaug 2025 Conference, 2025, conference presentation, University Library
Academic libraries Artificial intelligence Machine learning San Diego State University. Library
Can you get quality descriptive metadata for electronic State Documents using Large Language Learning Models?
Kate Holvoet; Greta Heng; Nerissa Lindsey
Core Forum 2025, 2025, conference presentation, University Library
Artificial intelligence Machine learning Natural language processing
Can you get quality descriptive metadata for electronic state documents using large language models?
Nerissa Lindsey; Greta Heng; Kate Holvoet
Ala Core Conference, 2025, conference presentation, University Library
Artificial intelligence Electronic government information Natural language processing
Defense Against Adversarial Attacks for Channel Estimation Models in RIS-assisted Communication
S. Alam; H. Tang; Y. Zhao; C. Luo; Wei Wang; N. Dhar
IEEE Global Communications Conference (Globecom), 2025, conference paper, Department of Computer Science, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Machine learning Signal processing Telecommunication systems
E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning
Le Zhang; Onat Gungor; Flavio Ponzina; Tajana Rosing
Artificial intelligence Edge computing Machine learning Neural networks (Computer science)
ENHANCED TEMPERATURE PREDICTION IN WIRE ARC-DIRECTED ENERGY DEPOSITION USING PHYSICS-INFORMED NEURAL NETWORKS
Xie, H.; Sharma, G.; Bassett, J.; Storey, J.; sara adibi; et al.
Proceedings of Asme 2025 Aerospace Structures Structural Dynamics and Materials Conference Ssdm 2025, 2025, conference paper, Department of Mechanical Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Additive manufacturing Artificial intelligence Machine learning Neural networks (Computer science)
From principles to practice: Developing artificial intelligence applications for discovery in the academic library space
Hartman, M; Lucy Campbell; Kohn, T; Napoleone, M; Keven Jeffery
Coalition for Networked Information (Cni), 2025, conference paper, University Library
Academic libraries Artificial intelligence Digital libraries Machine learning
Generative AI for Bibliographic Description: What Works, What Doesn’t
HanMyung-Ja [MJ] K.; Greta Heng
Proceedings of the International Conference on Dublin Core and Metadata Applications, 2025, conference paper, University Library
Artificial intelligence Information organization
HyperDrone: An Accurate, Robust, Fast, and Energy-Efficient Approach for Drone Classification
Shriniwas Kulkarni; Flavio Ponzina; Tajana Rosing
2025 IEEE 43Rd International Conference on Computer Design (Iccd), 2025, conference paper, Department of Electrical and Computer Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Computer vision Drone aircraft Machine learning
Representation and authenticity in AI generated, curated, and mediated Archives
Robert Riter; Zack Lischer-Katz; Bharat Mehra; Alexander Poole; Sarah Tribelhorn; Travis Wagner
88Th Annual Meeting of the Association for Information Science & Technology, November 17, Washington Dc, United States, 2025, conference poster, University Library
Archives Artificial intelligence Information literacy
Assessing fair AI use: Rubric development for assessing ethical and social equity concerns in AI
Sarah Tribelhorn
Ach2024: The Virtual Conference of Association for Computers and the Humanities, 2024, conference presentation, University Library
Artificial intelligence Ethics Fairness Social justice Universities and colleges
Enhancing Cataloging of Electronic Government Documents with Programming and OpenAI
Kate Holvoet; Greta Heng; Nerissa Lindsey
Code4Lib, 2024, conference presentation, University Library
Artificial intelligence Cataloging Programming (Mathematics)
ENHANCING MATERIAL PROPERTY PREDICTION IN HIGH ENTROPY ALLOYS THROUGH MACHINE LEARNING
Osuna, O.; sara adibi
Asme International Mechanical Engineering Congress and Exposition Proceedings Imece, 2024, conference paper, Department of Mechanical Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Machine learning Materials science
Finding keywords: a multilingual information search in the age of AI
Maria Amor
Ifla Mcultp Mini–Conference. Virtual Event, 2024, conference paper, University Library
Artificial intelligence Machine learning Multilingualism Natural language processing
HDXpose: Harnessing Hyperdimensional Computing's Explainability for Adversarial Attacks
Fatemeh Asgarinejad; Flavio Ponzina; Onat Gungor; Tajana Rosing; Baris Aksanli
Artificial intelligence Computer security Machine learning
Multi-Model Inference Composition of Hyperdimensional Computing Ensembles
Flavio Ponzina; Rishikanth Chandrasekaran; Anya Wang; Seiji Minowada; Siddharth Sharma; Tajana Rosing
2024 IEEE 42Nd International Conference on Computer Design (Iccd), 2024, conference paper, Department of Electrical and Computer Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Ensemble learning (Machine learning) Heterogeneous distributed computing systems Neural networks (Computer science)
Multi-Objective Software-Hardware Co-Optimization for HD-PIM via Noise-Aware Bayesian Optimization
Chien-Yi Yang; Minxuan Zhou; Flavio Ponzina; et al.
Artificial intelligence Computer architecture Machine learning
Prompting the Robot: Testing Heuristic Acronyms for Successful AI Faceted Searching: Testing heuristic acronyms for successful AI faceted searching
Lucy Campbell; Keven Jeffery; Rebecca Nowicki
2024 American Library Annual Conference, 2024, conference poster, University Library
Artificial intelligence Heuristic algorithms Information retrieval Search engines
Resource-Efficient Continual Learning for Personalized Online Seizure Detection
Amirhossein Shahbazinia; Flavio Ponzina; Jose A. Miranda; Jonathan Dan; Giovanni Ansaloni; David Atienza
2024 46Th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Embc), 2024, conference paper, Department of Electrical and Computer Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Deep learning (Machine learning) Machine learning National Institute of Neurological Disorders and Stroke (U.S.)
AI-Governance and AI for Governance: A Political Economy Perspective
Eisenberg, D.; Kaveh Abhari
29Th Annual Americas Conference on Information Systems, Amcis 2023, 2023, conference paper, Department of Management Information Systems, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Economics Politics, Practical
Can OpenAI Be Taught to Catalog?
Kate Holvoet; Greta Heng; Nerissa Lindsey
American Library Association Annual Conference, 2023, conference poster, University Library
Artificial intelligence Cataloging Library catalogs Machine learning
Can we teach OpenAI to catalog?
Nerissa Lindsey; Greta Heng; Kate Holvoet
American Library Association Conference, 2023, conference poster, University Library
Artificial intelligence Cataloging
Data-Centric Machine Learning Approach for Early Ransomware Detection and Attribution
A. Vehabovic; H. Zanddizari; N. Ghani; F. Shaikh; E. Bou-Harb; Morteza Safaei Pour; et al.
Noms 2023-2023 IEEE/Ifip Network Operations and Management Symposium, 2023, conference paper, Department of Management Information Systems, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Computer networks Computer security Machine learning
Establishing an Ethical Framework of Legal Accountability for Artificial Intelligence
Eisenberg, D.; Kaveh Abhari
29Th Annual Americas Conference on Information Systems, Amcis 2023, 2023, conference paper, Department of Management Information Systems, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Ethics Machine learning Technology and law
Responsible Digital Innovation in Dark: Toward Access-Control-Transparency Theory
Kaveh Abhari; Xiao, B.; Eisenberg, D.
29Th Annual Americas Conference on Information Systems, Amcis 2023, 2023, conference paper, Department of Management Information Systems, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Computer science Data protection Transparency (Ethics)
Shaping the Future of Work: Responsible Design and Public Policy for Generative AI
Kaveh Abhari; Eisenberg, D.
29Th Annual Americas Conference on Information Systems, Amcis 2023, 2023, conference paper, Department of Management Information Systems, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Machine learning Natural language processing Public policy (Law)
Testing the Efficacy of ChatGPT and Generative AI Tools in the Discovery of Quality Trade Sources: A Comparative Study
Timothy Tully
Beyond the Numbers, 2023, conference paper, University Library
Artificial intelligence Information retrieval Machine learning Natural language processing
An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs
Flavio Ponzina; Miguel Peon-Quiros; Giovanni Ansaloni; David Atienza
2022 IEEE International Conference on Omni-Layer Intelligent Systems (Coins), 2022, conference paper, Department of Electrical and Computer Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Deep learning (Machine learning) Efficiency wage theory
Automation, Augmentation, and Activation Process: A Process behind the Emergence of Successful ML-based Business Solutions
Kaveh Abhari; Mucha, T.M.; Ma, S.
International Conference on Information Systems, Icis 2022: "Digitization for the Next Generation", 2022, conference paper, Department of Management Information Systems, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Automation Entrepreneurship Machine learning
Beyond MLOps: The Lifecycle of Machine Learning-based Solutions
Mucha, T.M.; Ma, S.; Kaveh Abhari
28Th Americas Conference on Information Systems, Amcis 2022, 2022, conference paper, Department of Management Information Systems, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Automation Machine learning Operations research
Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge
Marco Rios; Flavio Ponzina; Giovanni Ansaloni; Alexandre Levisse; David Atienza
Proceedings of the Great Lakes Symposium on Vlsi 2022, 2022, conference paper, Department of Electrical and Computer Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Deep learning (Machine learning) Edge computing Machine learning
A Flexible In-Memory Computing Architecture for Heterogeneously Quantized CNNs
Flavio Ponzina; Marco Rios; Giovanni Ansaloni; Alexandre Levisse; David Atienza
2021 IEEE Computer Society Annual Symposium on Vlsi (Isvlsi), 2021, conference paper, Department of Electrical and Computer Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Deep learning (Machine learning) Neural networks (Computer science) Parallel processing (Electronic computers)
Running Efficiently CNNs on the Edge Thanks to Hybrid SRAM-RRAM In-Memory Computing
Marco Rios; Flavio Ponzina; Giovanni Ansaloni; Alexandre Levisse; David Atienza
2021 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (Date), 2021, conference paper, Department of Electrical and Computer Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Edge computing Machine learning Neural networks (Computer science)
Smart Entrepreneurial Systems: An Application of Deep Reinforcement Learning in Improving Entrepreneurship Mentorship
Kaveh Abhari; Williams, D.; Pawar, P.; Panjwani, K.
Advances in Intelligent Systems and Computing, 2021, conference paper, Department of Management Information Systems, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Entrepreneurship Mentoring Reinforcement learning
Psychology of business intelligence tools: Needs-affordances-features perspective
Kaveh Abhari; Vomero, A.; Davidson, E.J.
Proceedings of the Annual Hawaii International Conference on System Sciences, 2020, conference paper, Department of Management Information Systems, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Business intelligence Decision making Psychology
Redefining education in the digital economy: The role of social innovation-based learning in information systems education
Kaveh Abhari; Koobchehr, F.; Huxford, C.; Kohsuwan, P.; Olivares, F.; Sosa, L.
26Th Americas Conference on Information Systems, Amcis 2020, 2020, conference paper, Department of Management Information Systems, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Economic and Social Research Council (Great Britain) Education Machine learning
Wearable sensor-based activity recognition for data-driven simulation of construction workers' activities
Reza Akhavian; Behzadan, A.
Artificial intelligence Construction industry Human activity recognition Wearable technology
Client-server interaction knowledge discovery for operations-level construction simulation using process data
Reza Akhavian; Behzadan, A.H.
Construction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress, 2014, conference paper, Department of Civil, Construction, and Environmental Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Data mining Machine learning Operations research
Automated knowledge discovery and data-driven simulation model generation of construction operations
Reza Akhavian; Behzadan, A.H.
Proceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, Wsc 2013, 2013, conference paper, Department of Civil, Construction, and Environmental Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Artificial intelligence Building information modeling Computer-aided design Machine learning
Intelligent mobile cloud education: Smart anytime-anywhere learning for the next generation campus environment
Minjuan Wang; Ng, J.W.P.
Proceedings - 8Th International Conference on Intelligent Environments, Ie 2012, 2012, conference paper, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Artificial intelligence Cloud computing Educational technology Mobile computing