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
Why Minds Need Bodies: Organismic Unity and Limits of Artificial Consciousness, Renée SNOW
The Characterization of Bridging Waters and Ions in Protein-RNA Complexes, Leslie Duong
Accessibility Fairness Practices in AI Applications for People with Disabilities, Megan Gross
Lightweight Streaming LLMs: Attention Layer Pruning for Memory-Efficient Long-Sequence Inference, Ashley Irawan
Eye-Tracking Based Direction Control Using Machine Learning Technique, Lakshmi Bharathy Kumar
Explainable Deepfake Audio Detection Using Fine-Tuned Foundation Models, Janani Kripa Manoharan
Image Layer Decomposition Using Deep Reinforcement Learning, Lindsey A. Raven
Bit Sliced Vectors Native Tensor-Core Kernels for Compressed LLM Inference, Poorna Ravuri
LLM-Driven Static Malware Detection From Compressed PE Signals, Yilin Sun
Match Made in ML: Developing Compatibility Relationships in Evidential Reasoning Approaches with Machine Learning, Ella Jolie Thomas
Rebranding on Social Media: How Grammarly Became Superhuman, Miriam Nadine Weber
Interpretable Wellness Prediction from Passive Wearable Sensor Data Using Large Language Models, Cheng-Huan Yu
Artificial Intelligence and Challenges of Sustainable Library Services for children and young adults in Nigeria, Ishioma Nwanapayi Iwegbue and Chigozie Blessing Mba
Preparing Today’s Workforce for Tomorrow’s Autonomous Transportation: Bridging Electrical and Civil Engineering Disciplines, Masoud Ghodrat Abadi and Rohollah Moghadam
SMART-TWIN: Systematic Modeling and Real-Time Transportation with Digital Twins, Hovannes Kulhandjian
Non-Negotiable Responsibilities of Librarians despite the Presence of Generative-AI Powered Chatbots: An Overview, EMMANUEL CHIDIADI ONWUBIKO
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
Generative and Large Language Models for Library Knowledge Graphs, Partha Sarathi Mandal and Sukumar Mandal Dr
Agentic Hallucination Risk Scoring for Medical LLMs via Uncertainty Quantification and Clinical Knowledge Injection, Mayank Kapadia and Mohammad Masum
BEYOND THE STACKS: BORROWING OF IMMERSIVE TECHNOLOGIES AND SMART ECO SYSTEMS TO REIMAGINE LIBRARIES., Vuppala Lingaiah
Reframing the AI Narrative: A Call for Social Sciences and Public Interest Technology, Anne Marie Todd
Big Data Research in Library and Information Science: A Bibliometric Analysis in India, Dr. Prafulla Kumar Mahanta
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
Predicting Unstable Handovers in Dense Cellular Networks, Niyati Aggarwal
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
Efficient Automated JSDoc Comment Generation Using Compressed Abstract Syntax, Kevin Benelli
A Comparative Analysis of Malware Image Transformations Using Grad-CAM and Hybrid Machine Learning Models, Vibha Bhavikatti
Agentic AI for Cerebral Tumor Personalized Clinical Decision Support, Amey Bhide
Detection and Characterization of Cancer Using cfDNA Fragmentomic Analysis, Guneet Bhogal
When Agents Disagree: A Multi-Agent Debate Approach to Clinical Reasoning, Shreyas Bhoyar
BiLSTM-Based FoG Detection in Parkinson’s Disease: Evaluating Temporal, Frequency, and Biographical Features, GIOVANNI CANALES
Secure and Resilient Federated Learning for Malware Classification, Chandrakanth Reddy Challa
Teaching Tip Teaching Undergraduate IS Students Hands-on Generative AI Development Skills, Yee Kit Chan, Erica Lai, and Yu Chen
AV-AGENT-INSPIRED HYBRID MALWARE DETECTION WITH EXPLAINABLE ENSEMBLES AND LLM REASONING ON BODMAS, Prudhvi Sai Raj Dasari
Selective Fine Tuning for Large Language Models, Aditya Prashant Dawadikar
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
JAVATUTOR: AN INTEGRATED LLM FRAMEWORK FOR STRUCTURED PROGRAMMING TUTORING AND PROBLEM-SOLVING IN JAVA, Amey Makarand Dhongade
Real-time Defect Detection in Ceramic Additive Manufacturing Using Deep Convolutional Neural Networks, Dylan Doan, Amir Armani, and Marcia Golmohamadi
Predicting Traffic Collision Injury Severity in San Jose, Benjamin Fong
SAFE-R2R: A Safety-Aware and Budget-Optimized Retrieval Controller for RAG Systems, Mandar Sunil Gondane
ScholarConnect: An AI-Powered Research Discovery Platform for Graduate Students, Abhi Jain
Emotion-Based Music Recommendation System, Harshini Kanamathareddy
Adversarial Machine Learning for Robust Fraud Detection in Financial Systems, Rohan Kapdi
MediniAI: Spatially Grounded Agentic AI System for Urban Intelligence and Real Estate Reasoning, Shantanu Shivraj Khanapure
Transforming Visual Communication: The Role of Large Language Models in Media Content Creation, Tina Korani
A Temporal Evaluation Framework for Pedagogical Scope Compliance in RAG Tutoring Systems, Kranthi Kusal Latchupathula
Structured Chain-of-Thought Reasoning to Mitigate Hallucinations in Large Language Models, Jerry Liu
Reason, Review, Repeat: Hybrid Chain of Thought to Mitigate Hallucinations in Large Language Models, Jerry Liu, Melody Moh, and Teng Sheng Moh
Evaluating Opcode based NLP and Graph Representations for Synthetic Malware, Jonathan Macoco
AI CONTEXTUAL LEARNING TOOL: TEACHING MACHINE LEARNING VIA CONCEPTUAL TRANSFER, Shishir Dongre Mala
Mitigating API Hallucination in LLM-Generated Code via Structured Grounding, Selective Augmentation, and Validator-Guided Repair, Aniket Ramesh Mali
Rethinking Library OPAC: From Siloed Retrieval to AI and ML-Driven Discovery Using FastAPI and MySQL, Sukumar Mandal
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
Multimodal Emotion Detection System, Shubhankar Sameer Munshi
Modeling Sealed Deck Construction in Collectible Card Games Using Learning-to-Rank Approach, Michael Dinh Nguyen
Computer Vision Pipeline for Archaeological Artifact Detection Using Faster R-CNN, Mithi Pandey
Benford’s Law for Malware Detection: Class-Aware Feature Selection with Cascade Hybrid Classification, Vaibhav Reddy Panyala
RelCheck: Training-Free Detection and Correction of Relational Hallucinations in Multimodal Large Language Model Outputs, Siddhi Sarjerao Patil
Multi-Scale Alcohol Consumption Behavior Detection from Wearable Motion Sensors, Ananya Penuballi
