University Scholarship
Publications and Grants

Subject: Machine learning

FAST ID: 1004795 | WorldCat Record

Grants

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
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
Blame the Bot: Extending Attribution Dynamics in Chatbot-Consumer-Brand Interactions
Chen (Crystal) Chen; Xiaohan Hu; Xiaoyu Xu
Journal of Current Issues & Research in Advertising, 2026, journal article, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Branding (Marketing) Human-computer interaction Machine learning Natural language processing
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)
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
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
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
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
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
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
Evaluating Port Emissions Prediction Model Resilience Against Cyberthreats
Venkata Sai Sandeep Vennam; Carlos D. Paternina-Arboleda; Morteza Safaei Pour
Environmental impact analysis Machine learning Shipping
Feature Aggregation in Joint Sound Classification and Localization Neural Networks
Brendan Healy; Patrick McNamee; Zahra Nili Ahmadabadi
Acoustic localization Machine learning Neural networks (Computer science) Sound
Machine learning approach to burned area mapping for Southern California
Chandler Ross; Douglas Stow; Daniel Sousa; Megan Jennings; Atsushi Nara; Philip Riggan
International Journal of Remote Sensing, 2024, journal article, Department of Geography, Grants Research and Enterprise Writing (GREW) Fellows
Geographic information systems Machine learning Southern California Wildfires
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
A Comprehensive Survey of Recent Internet Measurement Techniques for Cyber Security
Morteza Safaei Pour; Christelle Nader; Kurt Friday; Elias Bou-Harb
Cyber intelligence (Computer security) Information technology Machine learning Telecommunication systems
Datasets and CodesPredicting households' residential mobility trajectories: A with Geographically Localized Interpretable Model-agnostic Explanation (GLIME)
Chanwoo Jin; Sohyun Park; Hui Jeong Ha; Jinhyung Lee; Junghwan Kim; John Hutchenreuther; Atsushi Nara
Data sets Geographic information systems Households Machine learning
Deducing neutron star equation of state from telescope spectra with machine-learning-derived likelihoods
Fridolin Weber
Journal of Cosmology and Astroparticle Physics, 2023, journal article, Department of Physics
Astrophysics Machine learning Neutron stars Spectrum analysis
Deducing the EOS of dense neutron star matter with machine learning
Fridolin Weber
Astronomische Nachrichten, 2023, journal article, Department of Physics
Equations of state Machine learning Neutron stars Nuclear physics
Machine learning the real discriminant locus
Edgar A. Bernal; Jonathan D. Hauenstein; Dhagash Mehta; Margaret H. Regan; Tingting Tang
Journal of Symbolic Computation, 2023, journal article, Grants Research and Enterprise Writing (GREW) Fellows, Mathematics - Imperial Valley
Discriminant analysis Geometry, Algebraic Locus (Mathematics) Machine learning
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
Predicting households’ residential mobility trajectories with geographically localized interpretable model-agnostic explanation (GLIME)
Chanwoo Jin; Sohyun Park; Hui Jeong Ha; Jinhyung Lee; Junghwan Kim; Johan Hutchenreuther; Atsushi Nara
International Journal of Geographical Information Science, 2023, journal article, Department of Geography, Grants Research and Enterprise Writing (GREW) Fellows
Geographic information systems Households Machine learning Residential mobility
Probing anharmonic phonons in WS2 van der Waals crystal by Raman spectroscopy and machine learning
Chisom Okeke; Okeke, C.; Isaac Juma; Juma, I.; Antonio Cobarrubia; Cobarrubia, A.; Nicholas Schottle; Schottle, N.; Hisham Maddah; Maddah, H.; Mansour Mortazavi; Mortazavi, M.; Sanjay Behura
Iscience, 2023, journal article, Department of Physics
Crystallography Machine learning Raman spectroscopy
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
A Hardware/Software Co-Design Vision for Deep Learning at the Edge
Flavio Ponzina; et al.
Computer hardware description languages Deep learning (Machine learning) Edge computing Machine learning
Angle of Arrival Based Signal Classification in Intelligent Reflecting Surface-Aided Wireless Communications
Haolin Tang; Yanxiao Zhao; Wei Wang
Electromagnetic waves Machine learning Radio wave propagation Wireless communication systems
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
Automated Estimation of Construction Equipment Emission Using Inertial Sensors and Machine Learning Models
Farid Shahnavaz; Reza Akhavian
Construction equipment Inertial navigation systems Machine learning Sustainability
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
Flood Detection in Urban Areas Using Satellite Imagery and Machine Learning
Ahad Hasan Tanim; Callum Blake McRae; Hassan Davani; Erfan Goharian
Image processing Machine learning Natural disasters Remote sensing
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
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
Automated Workers’ Ergonomic Risk Assessment in Manual Material Handling Using sEMG Wearable Sensors and Machine Learning
Srimantha E. Mudiyanselage; Phuong Hoang Dat Nguyen; Mohammad Sadra Rajabi; Reza Akhavian
Electromyography Industrial safety Machine learning
Comparative Analysis of Two Machine Learning Algorithms in Predicting Site-Level Net Ecosystem Exchange in Major Biomes
Jianzhao Liu; Liu, J.; Yunjiang Zuo; Zuo, Y.; Nannan Wang; Wang, N.; Fenghui Yuan; Yuan, F.; Xinhao Zhu; Zhu, X.; Lihua Zhang; Zhang, L.; Jingwei Zhang; Zhang, J.; Sun, Y.; Ying Sun; Guo, Z.; Ziyu Guo; Guo, Y.; Yuedong Guo; Song, X.; Xia Song; Changchun Song; Song, C.; Xiaofeng Xu
Carbon cycle (Biogeochemistry) Climatic changes Computer science Machine learning
Estimating change-point latent factor models for high-dimensional time series
Xialu Liu
Journal of Statistical Planning and Inference, 2021, journal article, Department of Management Information Systems, Grants Research and Enterprise Writing (GREW) Fellows
Data mining Machine learning Multivariate analysis Time-series analysis
Identifying and Labeling Potentially Risky Driving: A Multistage Process Using Real-World Driving Data
Charles Marks; Arash Jahangiri; Sahar Ghanipoor Machiani; Ladislav Routil
Automobile driving Machine learning Traffic safety Transportation engineering
Learning Dependence Relationships of Evacuation Decision Making Factors from Tweets
Atsushi Nara
Human Dynamics in Smart Cities, 2021, book chapter, Department of Geography, Grants Research and Enterprise Writing (GREW) Fellows
Emergency management Machine learning Natural disasters Twitter
Planetary gear train microcrack detection using vibration data and convolutional neural networks
Emmanuel, S.; Yihun, Y.; Nili Ahmedabadi, Z.; Boldsaikhan, E.; Zahra Nili Ahmadabadi
Neural Computing and Applications, 2021, journal article, Department of Mechanical Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Machine learning Mechanical engineering Natural language processing Neural networks (Computer science)
The Loss Surface Of Deep Linear Networks Viewed Through The Algebraic Geometry Lens
Dhagash Mehta; Tianran Chen; Tingting Tang; Jonathan Hauenstein
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, journal article, Grants Research and Enterprise Writing (GREW) Fellows, Mathematics - Imperial Valley
Deep learning (Machine learning) Geometry, Algebraic Machine learning Neural networks (Computer science)
A Nonlinear Recursive Model Based Optimal Transmission Scheduling in RF Energy Harvesting Wireless Communications
Yu Luo; Lina Pu; Yanxiao Zhao; Wei Wang; Qing Yang
IEEE Transactions on Wireless Communications, 2020, journal article, Department of Computer Science, Grants Research and Enterprise Writing (GREW) Fellows
Electrical engineering Energy harvesting Machine learning Radio resource management (Wireless communications)
An Exploratory Approach Using Regression and Machine Learning in the Analysis of Mass Absorption Cross Section of Black Carbon Aerosols: Model Development and Evaluation
Hanyang Li
Air quality Atmospheric chemistry Machine learning Regression analysis
Automated Methods for Activity Recognition of Construction Workers and Equipment: State-of-the-Art Review
Sherafat, B.; Ahn, C.R.; Reza Akhavian; et al.
Computer vision Construction workers Human activity recognition Machine learning
Construction activity recognition with convolutional recurrent networks
Slaton, T.; Hernandez, C.; Reza Akhavian
Construction industry Deep learning (Machine learning) Human activity recognition Machine learning
Cuboctahedral stability in Titanium halide perovskites via machine learning
Maddah, H.A.; Maddah, Hisham A.; Berry, V.; Berry, Vikas; Sanjay Behura
Computational Materials Science, 2020, journal article, Department of Physics
Machine learning Materials science Natural language processing Titanium compounds
On data-driven curation, learning, and analysis for inferring evolving internet-of-Things (IoT) botnets in the wild
Morteza Safaei Pour; et al.
Behavioral cybersecurity Internet of things Machine learning
Similarity measurement on human mobility data with spatially weighted structural similarity index (SpSSIM)
Chanwoo Jin; Jin, C.; Atsushi Nara; et al.
Data mining Machine learning Spatial data mining Statistics
Collaborative innovation in the sharing economy: Profiling social product development actors through classification modeling
Kaveh Abhari
Gig economy Innovations Machine learning Technological innovations
Comprehending the IoT cyber threat landscape: A data dimensionality reduction technique to infer and characterize Internet-scale IoT probing campaigns
Morteza Safaei Pour
Internet of things Machine learning Natural language processing
Kriging-enhanced ensemble variational data assimilation for scalar-source identification in turbulent environments
Vincent Mons; Qi Wang; Tamer A. Zaki
Journal of Computational Physics, 2019, journal article, Department of Aerospace Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Computational science and engineering Kriging Machine learning Turbulence
A personalized recommendation system with combinational algorithm for online learning
Xiao, J.; Minjuan Wang; Jiang, B.; Li, J.
Journal of Ambient Intelligence and Humanized Computing, 2018, journal article, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Algorithms Machine learning Online algorithms Recommender systems (Information filtering)
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
Regime-switching factor models for high-dimensional time series
Xialu Liu
Econometrics Factor analysis 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
Improved statistical downscaling of daily precipitation using SDSM platform and data-mining methods
Hassan Davani; Nasseri, M.; Zahraie, B.
Data mining Machine learning Meteorology Precipitation forecasting
Performance assessment of different data mining methods in statistical downscaling of daily precipitation
Nasseri, M.; Hassan Davani; Zahraie, B.
Data mining Machine learning Meteorology Precipitation (Meteorology)
Affective e-Learning: Using "motional" data to improve learning in pervasive learning environment
Minjuan Wang; Shen, L.; Shen, R.
Journal of Educational Technology & Society, 2009, journal article, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Affective education Educational technology Emotional intelligence Machine learning
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
Computer-Assisted Language Learning (CALL)
Minjuan Wang; Cadiero-Kaplan, K.
Education and Technology: An Encyclopedia, 2003, book chapter, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Educational technology Language learning and language teaching Machine learning Natural language processing
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

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)
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
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
DPQ-HD: Post-Training Compression for Ultra-Low Power Hyperdimensional Computing
Nilesh Prasad Pandey; Shriniwas Kulkarni; David Wang; Onat Gungor; Flavio Ponzina; Tajana Rosing
Computer engineering Electronics Machine learning Neural networks (Computer science)
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)
FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash
Sumukh Pinge; Ashkan Moradifirouzabadi; Keming Fan; Prasanna Venkatesan Ravindran; Tanvir H. Pantha; Po-Kai Hsu; Zheyu Li; Weihong Xu; Zihan Xia; Flavio Ponzina; et al.
2025 IEEE/Acm International Conference on Computer Aided Design (Iccad), 2025, conference paper, Department of Electrical and Computer Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Information storage and retrieval systems Machine learning Natural language processing Semiconductor storage devices
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
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
Machine Learning Enabled Hybrid Image Compression With Implicit Neural Representation For Wireless Semantic Communications
Yahui Jiang; Thu Vu; Xiaocan Wang; Wei Wang
2025 IEEE International Conference on Communications Workshops (Icc Workshops), 2025, conference paper, Department of Computer Science, Grants Research and Enterprise Writing (GREW) Fellows
Deep learning (Machine learning) Image compression Machine learning Wireless communication systems
Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs
Le Zhang; Quanling Zhao; Run Wang; Shirley Bian; Onat Gungor; Flavio Ponzina; et al.
Cloud computing Environmental monitoring Machine learning Sustainability
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
Filament-Free Bulk RRAM with High Endurance and Long Retention for Neuromorphic Few-Shot Learning On-Chip
Ashwani Kumar; Yucheng Zhou; Sai Praneeth Potladurthy; Jeong-Hoon Kim; Weihong Xu; Flavio Ponzina; et al.
2024 IEEE International Electron Devices Meeting (Iedm), 2024, conference paper, Department of Electrical and Computer Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Electronics Machine learning Neural networks (Computer science) Nonvolatile random-access memory
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
HyperECG: ECG Signal Inference From Radar With Hyperdimensional Computing
Matilda Gaddi; Flavio Ponzina; Fatemeh Asgarinejad; Baris Aksanli; Tajana Rosing
2024 IEEE 24Th International Conference on Bioinformatics and Bioengineering (Bibe), 2024, conference paper, Department of Electrical and Computer Engineering, Grants Research and Enterprise Writing (GREW) Fellows
Biomedical engineering Electrocardiography Machine learning Signal processing
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
Research Agenda 2030: The Great Questions of Immersive Learning Research
Dengel, A.; Steinmaurer, A.; Müller, L.M.; Platz, M.; Minjuan Wang; et al.
Communications in Computer and Information Science, 2024, conference paper, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Academic achievement Educational technology Machine learning VIRTUAL REALITY IN EDUCATION
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.)
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
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
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
A Near Real-Time Scheme for Collecting and Analyzing IoT Malware Artifacts at Scale
Joseph Khoury; Morteza Safaei Pour; Elias Bou-Harb
Proceedings of the 17Th International Conference on Availability, Reliability and Security, 2022, conference paper, Department of Management Information Systems, Grants Research and Enterprise Writing (GREW) Fellows
Computer security Internet of things Machine learning Real-time data processing
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
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)
Sanitizing the IoT Cyber Security Posture: An Operational CTI Feed Backed up by Internet Measurements
Morteza Safaei Pour
2021 51St Annual IEEE/Ifip International Conference on Dependable Systems and Networks (Dsn), 2021, conference paper, Department of Management Information Systems, Grants Research and Enterprise Writing (GREW) Fellows
Cyber intelligence (Computer security) Information technology Internet of things Machine learning
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
Data-driven Curation, Learning and Analysis for Inferring Evolving IoT Botnets in the Wild
Morteza Safaei Pour
Proceedings of the 14Th International Conference on Availability, Reliability and Security, 2019, conference paper, Department of Management Information Systems, Grants Research and Enterprise Writing (GREW) Fellows
Computer networks Data curation Internet of things Machine learning
Surgical phase recognition using movement data from video imagery and location sensor data
Atsushi Nara; Allen, C.; Izumi, K.
Advances in Geographic Information Science, 2017, conference paper, Department of Geography, Grants Research and Enterprise Writing (GREW) Fellows
Biomedical engineering Machine learning Medical informatics Surgery
An exploration of intelligent learning (iLearning) systems
Minjuan Wang; Hauze, S.; Olmstead, W.; Aziz, B.; Zaineb, B.; Ng, J.
Proceedings of IEEE International Conference on Teaching, Assessment and Learning for Engineering: Learning for the Future Now, Tale 2014, 2015, conference paper, Grants Research and Enterprise Writing (GREW) Fellows, School of Journalism and Media Studies
Computer-assisted instruction Educational technology Intelligent tutoring systems Machine learning
Construction activity recognition for simulation input modeling using machine learning classifiers
Reza Akhavian; Behzadan, A.H.
Engineering Machine learning Modeling Simulation
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