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 @ SJSUBooks from 2025
The Strategic Impact of Emerging Artificial Intelligence in the Ethical Realm of the Enterprise Landscape, Vishnu S. Pendyala
The Sketches of Infinite Data and Algorithms for Real-Time Data Insights, Vishnu S. Pendyala
Roadside Asset Extraction from Mobile LiDAR Point Cloud, Yushin Ahn, Riadh Munjy, and Stephen Choi
Understanding Residential Development in a High-Quality Transit Area (HQTA): An Application of Deep Learning, Dohyung Kim
Cost-Effective Automated UHI Mapping with AI: A Case Study of a Scalable Framework for Climate Equity in San José, California, Martin Alvarez Lopez
Generalizability of Existing AI Models for Automatic Disfluency Detection in Children's Speech, Caryn W. C. Iwakiri
Image Denoising Using Deep Learning Models, Kartik Mukkavilli
Models of Inquiry and the Learner: A Fresh Look, David Vickers Loertscher and MICHELLE YOUNG
Artificial Intelligence in Modern Game Development, Karan Raval
A Comprehensive Study of Impacts of “Q” Bus Rapid Transit System on Blackstone Avenue, Yertai Tanai and Kamil Ciftci
The Effects of Avatar Human-Likeness on Psychological Closeness in Virtual-Reality, Rebecca L. Chae, Hyojin Lee, and Eunsoo Kim
A Method for Synthesizing Ontology-Based Textual Design Datasets: Evaluating the Potential of Large Language Model in Domain-Specific Dataset Generation, Yunjian Qiu and Yan Jin
Unveiling the Transformative Power of Unsupervised machine learning through Clustering, Vishnu S. Pendyala
Artificial intelligence in action: Real-world applications and innovations, Ahmed Banafa
Smart Highway Construction Site Monitoring Using Artificial Intelligence, Mehran Mazari, Yahaira Nava-Gonzalez, Ly Jacky N. Nhiayi, and Mohamad H. Saleh
Bayesian deep learning for uncertainty quantification and prediction of jet grout column diameter, Rakam Tamang, Yichuan Zhu, and Joseph Coe
Spatiotemporal Dynamic Graph Convolutional Networks for Air Route Network Congestion Prediction, Jiantang Yin, Jixin Liu, Weili Zeng, Wenbin Wei, Wen Tian, and Ying Zhang
The potential for fuel reduction to reduce wildfire intensity in a warming California, Patrick T. Brown, Scott J. Strenfel, Richard B. Bagley, and Craig B. Clements
Biomechanical Risk Classification in Repetitive Lifting Using Multi-Sensor Electromyography Data, Revised National Institute for Occupational Safety and Health Lifting Equation, and Deep Learning, Fatemeh Davoudi Kakhki, Hardik Vora, and Armin Moghadam
Smart Green Energy Management for Campus: An Integrated Machine Learning and Reinforcement Learning Model, Charan Teja Madabathula, Kunal Agrawal, Vijen Mehta, Swathi Kasarabada, Sai Srimai Kommamuri, Guannan Liu, and Jerry Gao
SemanticGraphRec: Lightweight Hybrid Recommendations Powered by Semantic Item Representations and Graph Collaborative Filtering, Devi Surya Kumari Akula
Landslide Prediction Using Time-Series Decomposition, Reinforcement Learning-based Feature Selection and ML Models, Mohith Sai Venkat Ankem
Multilingual Sentiment Analysis Using Ensemble Learning, Farhan Ansari
Enhancing Code Review Automation with Large Language Models using QLoRA Fine-Tuning and RAGs, Sumukh Naveen Aradhya
On the Adversarial Robustness of Quantized Neural Networks Against Common Adversaries in Time-Series Forecasting, Maanak Arora
PHISHING DETECTION USING CONTINUAL LEARNING AND LARGE LANGUAGE MODELS, Gopi Prajeev Battula
Synthetic Malware Generation using Generative AI, Phanidhar Sai Sravan Chandana
Large Language Model powered ETL Pipeline Development A Project Report, Aditya Chandras
Large Language Models for Bacterial Genomic Analysis, Manvendra Chavan
Empowering customer service with generative AI: enhancing agent performance while navigating challenges, Charles Costa and Souvick Ghosh
Moving Target Defense with Quantized Morphence: Defense Quantification Against Common Adversaries in Image and Time Series Problems, Rithika Dhamala
Suicidal Ideation Detection on Reddit using LLM-Annotated Data and Graph Neural Networks, Ikbal Singh Gurdev Singh Dhanjal
Machine Learning based Network Traffic Classification with Cosine-Similarity based Out-Of-Distribution Detection, Prabhat Edupuganti
Using AI-Powered video feedback to improve ergonomics: An analog experiment, Williams A. Espericueta Luna, Yuetong J. Wu, Yue Luo, Boyi Hu, and Nicole Gravina
Image-to-Text Transcription: Analyzing and Describing Visual Content, Zixiao Fan
Augmenting Missing Sensor Data for Robust Human Activity Recognition, Suryakangeyan kandasamy gowdaman
The ChatGPT Fact-Check: exploiting the limitations of generative AI to develop evidence-based reasoning skills in college science courses, Ursula Holzmann, Sulekha Anand, and Alexander Y. Payumo
FRAMEWORK FOR IDENTITY PRIVACY THROUGH GENDER BASED SKELETONIZATION, Harrison Hwang
RIFT - Reddit Information Falsity Tagger, Parth Joshi
Malware Generation and Classification using PixelCNN, Mounika Krishna Teja Karumudi
MediLightRAG: A System for Medical Query Response Using Fine-Tuned LLMs and Graph Based Retrieval, Rajiv Karthik Reddy Kodimala
Advanced Knowledge Extraction with Biomedical Data Using LLMs, Akshat Krishna
Simple vs. Complex Human Activity Classification via Hybrid Machine Learning Models, Anusha Kukreja
Librarians in U.S. Public Schools Without Other Kinds of Specialist Educators: The Scale of Opportunities for Instructional Leadership, Keith Curry Lance and Caitlin Gerrity
Two-Stage Emotion Detection from Multimodal Data, Xiangyi Li
riboMoE: An Application of Mixture of Experts on Artificial Riboswitch Classification, Hainian Audrey Long
Transformer Integration, Fine-tuning and Zero-Shot Learning for State of Health Estimation in Li-ion Batteries using Large Language Models, CHINMAY NILESH MAHAGAONKAR
Gen Ai for Malicious Network Data, Aneesh Maturu
Energy Considerations for Large Pre-trained Neural Networks, Leo Mei
Label-Free Visualization and Segmentation of Endothelial Cell Mitochondria Using Holotomographic Microscopy and U-Net, Raul Michael, Tallah Modirzadeh, Tahir Bachar Issa, and Patrick Jurney
The impact of artificial intelligence on data privacy: a risk management perspective, Norman Mooradian, Patricia C. Franks, and Amitabh Srivastav
SECURED DATA STORAGE MANAGEMENT WITH DEDUPLICATION IN CLOUD COMPUTING AND LOCAL GPT INTEGRATION, Pavan Myana
AI-Enabled Anticipatory Handover Predictions in 5G Networks, Ojas Ankush Naik
Identifying Red Sponges on ARMS Plates by Preprocessing Images using Histogram Equalization, Barry Ng
Retrieval-Augmented Generation (RAG) Chatbots: A Comparative Study of Claude, GPT-4o, DeepSeek, and Llama, Kalindi Vijesh Parekh
AI-Based Dynamic Spectrum Allocation Model for Wireless Network Management, Sai Sashank Peddibhotla
Automated Research Review Support Using Machine Learning, Large Language Models, and Natural Language Processing, Vishnu S. Pendyala, Karnavee Kamdar, and Kapil Mulchandani
Human vs. LLM: Interpreting Emotion from Neutral Faces in Contextually Charged Backgrounds, Sai Mounika Peteti
Multimodal Feature Fusion and Machine Learning for ADHD Detection Using Neuroimaging Data, Isabel Pham
AI Powered Legal Decision Support System, Alisha Rath
Transforming Chatbot Text: A Sequence-to-Sequence Approach to Human-Like Text Generation, Natesh Reddy
PERFORMANCE COMPARISON OF MACHINE LEARNING ACROSS METAL, CUDA, AND NEUROMORPHIC FRAMEWORKS, Ryan Saini
TraceAI: Intelligent Distributed Tracing Using Large Language Models, Mihir Dhirajlal Satra
DETECTING AI-GENERATED NEWS ARTICLES USING UNSUPERVISED MACHINE LEARNING ALGORITHMS, Lilou Sicard-Noel
SMART: Semantic Mapping and Analysis for Regional Terrain Using Multi-Scale U-Net and TOPSIS, Rashmi Sonth
Extraction of a Knowledge Graph of Biomedical Relationships, Brian Tran
MAPLE: Malware Analysis through Projection of Low-dimensional Embeddings, Quang Duy Tran
Coral Vision – Crustose Coralline Algae Detection with Computer Vision, Ryan Tseng
PhotoProof: A Mobile Application for Verifying the Authenticity of Images, Pruthviraj Urankar
EduRAG: Improving AI Teaching Assistants with Retrieval-Augmented Generation, Geethika Vadlamudi
Retrieval-Augmented Generation for Survival Analysis in Cancers: Methods and Evaluation on the Surveillance, Epidemiology, and End Results Database, Jyothi Vaidyanathan
Breaking the Cycle: Countering Popularity Bias for Diverse Content Discovery, Brandon Weaver, Melody Moh, and Teng Sheng Moh
Social Engineering Scenario Generation for Awareness-Based Attack Resilience, Jade Webb
Domain-Specific Graph RAG Pipelines: Optimized Approaches for Building Efficient Personal Knowledge Repositories, Omkar Yadav
Books from 2024
Quantitative analysis of Machine Learning model performance and the need to consider explainability, Vishnu S. Pendyala
Redefining Reference Services in the 21st Century, Johanna Tunon
How artificial intelligence incidents affect banks and financial services firms? A study of five firms, Isarin Durongkadej, Wenyao Hu, and Heng Emily Wang
The Evolution of Artificial Intelligence in Gaming, Aditi Jorapur
Envisioning Archival Images with Artificial Intelligence, Jessica Bushey
Bridging Sociotechnical Divides: Trustworthy AI for Community Well-Being and Fair Decision-Making, Souvick Ghosh
Estimating Models for Engineering Costs on the State Highway Operation and Protection Program (SHOPP) Portfolio of Projects, Elhami Nasr, Tariq Shehab, Nigel Blampied, and Vinit Kanani
Empirical study of machine learning for intelligent bearing fault diagnosis, Armin Moghadam and Fatemeh Davoudi Kakhki
Social Media and Crisis Informatics Research in LIS, Ly Dinh, Lingzi Hong, Catherine Dumas, Beth Patin, Souvick Ghosh, Lingyao Li, and Christy Khoury
AI for Library and Information Science (AI4LIS): Towards a Research Agenda, Darra Hofman, Alamir Novin, Souvick Ghosh, and Ehsan Mohammadi
Artificial Intelligence for Pedestrian and Bicyclist Safety: Using AI to Detect Near-Miss Collisions, Mohammad Pourhomayoun
Research on Federated Learning's Contribution to Trustworthy and Responsible Artificial Intelligence, Shijia Huang, Yaxin Liang, Fangzhou Shen, and Fanru Gao
Community Detection Using Deep Learning: Combining Variational Graph Autoencoders with Leiden and K-Truss Techniques, Jyotika Hariom Patil, Petros Potikas, William B. Andreopoulos, and Katerina Potika
Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries, Junchuan Shi, Yupeng Wei, and Dazhong Wu
Teacher and Student Perspectives of Technology Use in Elementary School Classrooms, Anthony Oskar Alvarado
Controllable Physics-Informed Latent Space for Acoustic Wave Manipulation, Tristan Shah
Harnessing Artificial Intelligence for an Affordable Quality of Life, Vishnu S. Pendyala
Tai Chi Expertise Classification in Older Adults Using Wrist Wearables and Machine Learning, Yang Hu, Mengyue Huang, Jonathan Cerna, Rachneet Kaur, and Manuel E. Hernandez
KritiSamhita: A machine learning dataset of South Indian classical music audio clips with tonic classification, Samhita Konduri, Kriti V. Pendyala, and Vishnu S. Pendyala
Smart City Community Watch—Camera-Based Community Watch for Traffic and Illegal Dumping, Nupur Pathak, Gangotri Biswal, Megha Goushal, Vraj Mistry, Palak Shah, Fenglian Li, and Jerry Gao
Synthetic Malware Using Deep Variational Autoencoders and Generative Adversarial Networks, Aaron Choi, Albert Giang, Sajit Jumani, David Luong, and Fabio Di Troia
Malware Classification Using Dynamically Extracted API Call Embeddings, Sahil Aggarwal and Fabio Di Troia
Development of the Roadway Pothole Management Program, DingXin Cheng
Cost-effectiveness Analysis of Colorectal Cancer Screening Strategies Using Active Learning and Monte Carlo Simulation, Amirhossein Fouladi, Amin Asadi, Eric A. Sherer, and Mahboubeh Madadi
Analysis of Multilanguage Regional Music Tracks Using Representation Learning Techniques in Lower Dimensions, Vishnu S. Pendyala, Samhita Konduri, and Kriti V. Pendyala
