SJSU faculty and students produce AI research that pushes their fields forward, and King Library's SJSU ScholarWorks helps make sure that research is shared with readers around globe. SJSU's Office of Research has identified emerging technology, including artificial intelligence and machine learning, as an area of research strength at SJSU.
AI @ SJSUSubmissions from 2026
ASSESSING AWARENESS AND USE OF ARTIFICIAL INTELLIGENCE TOOLS AMONG LIBRARY PERSONNEL IN PUBLIC AND PRIVATE INSTITUTIONS IN EKITI STATE, NIGERIA, THOMAS AANU OJO
Deep Learning Framework for Quantifying Self-Organization in Myxococcus xanthus, Jiangguo Zhang, Eduardo A. Caro, Peiying Chen, Trosporsha Tasnim Khan, Patrick A. Murphy, Lawrence J. Shimkets, Ankit B. Patel, Roy D. Welch, and Oleg A. Igoshin
Agentic Hallucination Risk Scoring for Medical LLMs via Uncertainty Quantification and Clinical Knowledge Injection, Mayank Kapadia and Mohammad Masum
Rosetta-Xai: An Automated Evaluation and Explainability Framework for Code Translation Models, Vishnu S. Pendyala and Neha Bais Thakur
Library 5.0 and Predictive Intelligence: A Conceptual Literature Review, Shrikant Ramteke
Artificial Intelligence and ChatGPT in Libraries: A Bibliometric Analysis of Social Science Research (2022–2026), Shrikant W. Ramteke and Yogesh B. Daphal
Reconstruction of Information System Acceptance Model in the Era of Integrated Artificial Intelligence: A Systematic Literature Review, Ilham and Merlin Apriliyanti
KNOWLEDGE CREATION AND INFORMATION SHARING THROUGH OPEN EDUCATION RESOURCES, Dr. Sankar P
SAGEComm: Semantic-Aware Generation and Encoding for Next-Gen Communication, Shih Yu Chang, Yi Chih Kao, and Zhu Han
AI4Qual: A Comprehensive Field Guide to LLM-Supported Qualitative Research (Tutorial), He Zhang, Jie Cai, Jingyi Xie, Chuhao Wu, Chan Min Kim, and John M. Carroll
Multi-Agent LLM for Reducing Unsheltered Homelessness, Shravya Kothapalli, Samhita Juloori, Vishvaas Vasudeva Rao, Joshna Medisetty, and Ahmed Hambaba
Understanding Tradeoffs in Clinical Text Extraction: Prompting, Retrieval-Augmented Generation, and Supervised Learning on Electronic Health Records, Tanya Yadav, Aditya Tekale, Jeff Chong, and Mohammad Masum
Activation-Guided Layer Selection for LoRA, Aditya Dawadikar, Pooja Shyamsundar, Rashmi Vishwanath Bhat, and Navrati Saxena
Large Language Models: Cybersecurity, Privacy, and Trust, Abbas Moallem, Wojciech Cellary, and Krzysztof Walczak
Artificial Intelligence and Large Language Models: A Scientific Perspective, Abbas Moallem, Helmut Degen, and Stavroula Ntoa
Formal Privacy Guarantee in Predictive Autoscaling by Differentially Private Federated Training, Alan Chuang, Melody Moh, and Teng Sheng Moh
Comprehensive Analysis of Large Language Models on CNN-based Deepfake Detection, Toey Lui, Quang Duy Tran, and Younghee Park
A Comprehensive Study on the Effectiveness of Machine Learning Models to Mitigate the Impact of Cyberbullying, Shweta Singh, Fred Barez, and Riti Gour
Critical Thinking and Academic Writing in the Age of Generative AI: A Call to LIS Educators and Librarians, Sandra Hirsh
Building Next-Gen ESG Platforms with IoT and AI for Sustainable Development Goals, Chandrasekar Vuppalapati
Fusing Channel State Information and Computer Vision in an Agentic AI Workflow for Accurate Human Activity Recognition and Crisis Prevention, Vishnu S. Pendyala and Milind Patil
Development of a Framework for Identifying Asphalt Pavement Cracking Distresses Using Machine Learning, DingXin Cheng
DSMC: A Statistical Mechanics Perspective, Alejandro Garcia
Exploring Music Representation Learning for Detection of Finer-Grained Details, Vishnu Pendyala, Samhita Konduri, and Kriti Pendyala
Explainable Multi-Modal Deep Learning for Transparent Cancer Diagnosis: Integrating Radiology, Clinical Features, and Decision Visualization, Sital Dash, Laxmi Bewoor, Yashwant Dongre, Amol Bhosle, Kailas Patil, Shrikant Jadhav, Banani Mohapatra, and Bhavnish Walia
Predicting Instability at Home and in Foster Care, Challenges and Opportunities, S. Ayca Erdogan, Nafiseh Saberi, Afreen Chaus, and Egemen Ilkimen
Design of Intelligent Traffic Signal Control Using Reinforcement Learning, Chunchen Lin, Ayca Erdogan, and Hongrui Liu
AI-Driven Algorithmic Engine: Transforming Crypto Asset Management with Clustering Technique, E. Poongothai, S. Hariharan, A. Thiruvenkata Muhilan, and Pujitha Bobbili
Exploring K–12 Teacher Motivation to Engage with AI in Education, Ethel Tshukudu, Katharine Childs, Gaokgakala Alogeng, Emma R. Dodoo, Douglas R. Case, and Tebogo Videlmah Molebatsi
NTDscope: A multi-contrast portable microscope for disease diagnosis, María Díaz de León Derby; Zaina L. Moussa; Carlos F. Ng; Abdul M. Bhuiya; Joana P. Cabrera; Dipayan Banik; Charles B. Delahunt; Matthew D. Keller; Anne Laure M. Le Ny; Jaime Garcia-Villena; Elena Dacal; David Bermejo-Peláez; Daniel Cuadrado; Miguel Luengo-Oroz; Hugues C. Nana Djeunga; Joseph Kamgno; Linda Djune Yemeli; Victor Pahl; Neil A. Switz; and For full author list, see comments below
A Comparative Study of Linear and Non-Linear Dimensionality Reduction for Opcode-Frequency Malware Classification, Chandler Lu and Fabio Di Troia
AI-Assisted Qualitative Analysis of Formative Feedback To Support Student-Centered Learning in Physiology, Sulekha Anand, Ursula Holzmann, and Alexander Y. Payumo
Flip This Library Again! A Metaphorphosis: Evolving the School Library into an Innovation Lab & Library Learning Commons (ILLC), David Vickers Loertscher and Fran Kompar
HybridSense-LLM: A Structured Multimodal Framework for Large-Language-Model–Based Wellness Prediction from Wearable Sensors with Contextual Self-Reports, Cheng Huan Yu and Mohammad Masum
CodeGen-3D: A Benchmark for Evaluating LLMs in Zero-Shot and Iterative 3D Modeling in Blender, Hao Ji, Kotha Aditya, Sebastian Escalante, and Yunjian Qiu
Generative Algorithms for Wildfire Progression Reconstruction from Multi-Modal Satellite Active Fire Measurements and Terrain Height, Bryan Shaddy, Brianna Binder, Agnimitra Dasgupta, Haitong Qin, James Haley, Angel Farguell, Kyle Hilburn, Derek V. Mallia, Adam Kochanski, Jan Mandel, and Assad A. Oberai
The In(significance) of Sentience, Anand Jayprakash Vaidya and Manjula Menon
Evaluating impact of occupational exoskeletons on physical fatigue using wearable sensors and deep learning, Hardik Vora, Fatemeh Davoudi Kakhki, and Armin Moghadam
Ga2O3 TCAD Mobility Parameter Calibration Using Simulation Augmented Machine Learning With Physics-Informed Neural Network, Edric Khai Jieh Ong, Le Minh Long Nguyen, Matthew Eng, Yuhao Zhang, and Hiu Yung Wong
Modeling Single-Crystal Battery Materials: From Fundamental Understanding to Performance Evaluation, Suyue Yuan, Stephen E. Weitzner, Wonseok Jeong, Shenli Zhang, Bo Wang, Longsheng Feng, Jonas L. Kaufman, Kwangnam Kim, Yue Qi, and Liwen F. Wan
A Recurrent Neural Network for Forecasting Dead Fuel Moisture Content with Inputs from Numerical Weather Models, Jonathon Hirschi, Jan Mandel, Kyle Hilburn, and Angel Farguell
Code Reviews on a Budget: Memory-Efficient Fine-Tuning with QLoRA and RAG for Big Code Applications, Sumukh Naveen Aradhya, Melody Moh, and Teng Sheng Moh
Detection and Characterization of Cancer Using cfDNA Fragmentomic Analysis, Guneet Bhogal
Teaching Tip Teaching Undergraduate IS Students Hands-on Generative AI Development Skills, Yee Kit Chan, Erica Lai, and Yu Chen
How Do AI and LLMs Change Our Lives? Reflections and Outlook, Helmut Degen; Stavroula Ntoa; Abbas Moallem; Joerg Beringer; Carrie Ching; Lance Chong; Thomas Geis; Pei Hsuan Hsieh; Khalid Kattan; Prabhat Kumar; André Frank Krause; Carsten Lanquillon; Rebecca McNulty; Mark Mittrick; Mark Nuppnau; Abraham Moore Odell; Ming Qian; Adrienne Raglin; Robert G. Reynolds; and For full author list, see comments below
Real-time Defect Detection in Ceramic Additive Manufacturing Using Deep Convolutional Neural Networks, Dylan Doan, Amir Armani, and Marcia Golmohamadi
Transforming Visual Communication: The Role of Large Language Models in Media Content Creation, Tina Korani
Reason, Review, Repeat: Hybrid Chain of Thought to Mitigate Hallucinations in Large Language Models, Jerry Liu, Melody Moh, and Teng Sheng Moh
Toward a Clearer Framework for Machine Learning–Powered Risk Assessment: Insights From the SARCO X Study, Pelin Menemencioğlu, Yasin Ceran, Murat Kara, and Levent Özçakar
Machine Learning, Computer Vision, and Corals, Patricia Saito
GenAI and LLMs for Beyond 5G Networks, Sukhdeep Singh, Madhan Raj Kanagarathinam, Mohan Rao GNS, Yulei Wu, Navrati Saxena, Ashok Kumar Reddy Chavva, and Ali Kashif Bashir
Match Made in ML: Developing Compatibility Relationships in Evidential Reasoning Approaches with Machine Learning, Ella Jolie Thomas
Theses/Dissertations from 2025
Natural Language Question Answering on Tabular Data Using Large Language Models, Yashasvi Kanchugantla
Exploring Math Word Problem Generation With LLMs, Trung Hieu Vuong
Developing a Vietnamese Text Summarization Large Language Model on Limited Hardware, Tin Pho
Enhancing Medical Reasoning in Small Language Models Through Feedback-Guided Refinement, Monish Sai Lakamraju
Building a Data-Driven Security AI Framework Using Machine Learning Models, Christopher Chan Vi
A multimodal framework for enhancing E-commerce information management using vision transformers and large language models, Anitha Balachandran and Mohammad Masum
Evaluation of Intravenous Electrocardiography for Peripherally Inserted Central Catheter Placement: Use of Artificial Intelligence To Enhance Accuracy, Kichang Lee, Deva Kumar Gajulamandyam, Ki Tae Jung, Matthew C. Lee, Linda Kelly, A. Sassan Sabouri, Bonsung Koo, and Simon Shim
Evaluation of Intravenous Electrocardiography for Peripherally Inserted Central Catheter Placement: Use of Artificial Intelligence To Enhance Accuracy, Kichang Lee, Deva Kumar Gajulamandyam, Ki Tae Jung, Matthew C. Lee, Linda Kelly, A. Sassan Sabouri, Bonsung Koo, and Simon Shim
Cluster analysis and concept drift detection in malware, Aniket Mishra and Mark Stamp
Performance and Interpretability Analysis of Code Generation Large Language Models, Vishnu S. Pendyala and Neha B. Thakur
Towards a Generalized and Optimized Apriori Approach, Artem Abdikov
Forecasting Pediatric Emergency Department Arrivals: Evaluating the Role of Exogenous Variables Using Deep Learning Models, Egbe Etu Etu, Jordan Larot, Kindness Etu, Joshua Emakhu, Sara Masoud, Imokhai Tenebe, Gaojian Huang, Satheesh Gunaga, and Joseph Miller
Embedding-Driven Synthetic Malware Generation with Autoencoders and Cluster-Tangent Diffusion, Gunnika Kapoor, Sathvika Nadipalli, and Fabio Di Troia
GenAI and LLMs for Source and Channel Coding in B5G Networks, Jaswanthi Mandalapu, Abhishek Roy, and Navrati Saxena
A Project-Based Approach To Enhance Student AI Detection Skills in a Social Media Marketing Course, Gema Vinuales and Gauri Kulkarni
Open Access and AI - How to Safeguard Your Published Work in a Time of Unmitigated Co-option, Carmen Estela Kennedy Saleh
Secondary Students’ Conceptions of AI in an African Country, Katharine Childs, Douglas Case, Ethel Tshukudu, Tebogo Videlmah Molebatsi, Gaokgakala Alogeng, and Emma R. Dodoo
Secondary Students’ Conceptions of AI in an African Country, Katharine Childs, Douglas Case, Ethel Tshukudu, Tebogo Videlmah Molebatsi, Gaokgakala Alogeng, and Emma R. Dodoo
Evolution of Reference Services in the Era of Generative Artificial Intelligence, José Aguiñaga, Norman Mooradian, Souvick Ghosh, and Darra Hofman
The Future of Academic Writing in the Age of Generative AI, Marlene Holmner, Sandra Hirsh, Anika Meyer, Anna Mierzecka, and Abebe Rorissa
Tracing the Past, Predicting the Future: A Systematic Review of AI in Archival Science, Gaurav Shinde, Tiana Kirstein, Souvick Ghosh, and Patricia Franks
Integration of UAV and Remote Sensing Data for Early Diagnosis and Severity Mapping of Diseases in Maize Crop Through Deep Learning and Reinforcement Learning, Jerry Gao, Krinal Gujarati, Meghana Hegde, Padmini Arra, Sejal Gupta, and Neeraja Buch
From Queries to Conversations: Examining Human–GenAI Information-Seeking through Belkin's Cognitive Communication Model, Camille Charette and Souvick Ghosh
AI and Social Justice in LIS, Hengyi Fu, Souvick Ghosh, Darra Hofman, and Bharat Mehra
AI and Social Justice in LIS, Hengyi Fu, Souvick Ghosh, Darra Hofman, and Bharat Mehra
Human-AI Collaborative Content Analysis: Investigating the Efficacy and Challenges of LLM-Assisted Content Analysis for TikTok Videos on Palliative Care, Souvick Ghosh, Ketan Malempati, and Camille Charette
Wildfire Emergency Response and Evacuation Framework Using Drones: Phase I, Hovannes Kulhandjian
Special issue on big data computing service and machine learning applications, Katerina Potika, Magdalini Eirinaki, Monica Vitali, Anna Bernasconi, and Hiroyuki Fujioka
Machine Learning for Dissolved Oxygen Prediction in the Manawatu River Catchment, New Zealand, Imokhai T. Tenebe, Eunice O. Babatunde, Nkpa M. Ogarekpe, Egbe Etu Etu, Joshua Emakhu, Kindness E. Etu, Obiora B. Ezeudu, and Oluwarotimi S. Oladele
Deciphering Speech Through Vision: A Deep Learning Lip Reading System, Srujith Rao Ambati and Sayma Akther
Deciphering Speech Through Vision: A Deep Learning Lip Reading System, Srujith Rao Ambati and Sayma Akther
Temporal Dynamics of Diabetes Prediction: A Sensor-Based Time-Series Investigation, Monica Meduri and Sayma Akther
Temporal Dynamics of Diabetes Prediction: A Sensor-Based Time-Series Investigation, Monica Meduri and Sayma Akther
Synthetic Social Engineering Scenario Generation Using LLMs for Awareness-Based Attack Resilience, Jade Webb, Faranak Abri, and Sayma Akther
Synthetic Social Engineering Scenario Generation Using LLMs for Awareness-Based Attack Resilience, Jade Webb, Faranak Abri, and Sayma Akther
Novel Biological Prompting Technology: Automatic Directional Control by Eye-Tracking Sensor, Guannan Liu, Justin Wang, Hsiao Chun Wu, Gaojian Huang, Anil Kumar, Yiyan Wu, Shih Yu Chang, and Yue Luo
Novel Biological Prompting Technology: Automatic Directional Control by Eye-Tracking Sensor, Guannan Liu, Justin Wang, Hsiao Chun Wu, Gaojian Huang, Anil Kumar, Yiyan Wu, Shih Yu Chang, and Yue Luo
Novel Biological Prompting Technology: Automatic Directional Control by Eye-Tracking Sensor, Guannan Liu, Justin Wang, Hsiao Chun Wu, Gaojian Huang, Anil Kumar, Yiyan Wu, Shih Yu Chang, and Yue Luo
The Power of Patterns in Detecting News Articles Written by AI, Lilou Sicard-Noel, Eric Wu, and Mike Wu
The Power of Patterns in Detecting News Articles Written by AI, Lilou Sicard-Noel, Eric Wu, and Mike Wu
UAV-Based Transport Management for Smart Cities Using Machine Learning, Sweekruthi Balivada, Jerry Gao, Yuting Sha, Manisha Lagisetty, and Damini Vichare
UAV-Based Transport Management for Smart Cities Using Machine Learning, Sweekruthi Balivada, Jerry Gao, Yuting Sha, Manisha Lagisetty, and Damini Vichare
Enhancing Clinical Named Entity Recognition via Fine-Tuned BERT and Dictionary-Infused Retrieval-Augmented Generation, Soumya Challaru Sreenivas, Saqib Chowdhury, and Mohammad Masum
Library Science Literature, 2019–2025: An Exploration Using Critical Bibliometric Methods, Nick Szydlowski
AISStream-MCP: A Real-Time Memory-Augmented Question-Answering System for Maritime Operations, Sien Chen, Ruoxian Zhao, Jian Bo Yang, and Yinghua Huang
Data Centers and Water: Challenges and Solutions for Sustainable Cooling, Leila Khatib, Anh Pham, Khaled Ahmed, and Val S. Frenkel
Data Centers and Water: Challenges and Solutions for Sustainable Cooling, Leila Khatib, Anh Pham, Khaled Ahmed, and Val S. Frenkel
Thrust Coefficient Prediction In Hydrokinetic Turbines Using Supervised and Unsupervised Machine Learning, Advika Arya, Uma Nair, and Sohail Zaidi
