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 2025
A multimodal framework for enhancing E-commerce information management using vision transformers and large language models, Anitha Balachandran and Mohammad Masum
Cluster analysis and concept drift detection in malware, Aniket Mishra and Mark Stamp
Open Access and AI - How to Safeguard Your Published Work in a Time of Unmitigated Co-option, Carmen Estela Kennedy Saleh
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
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
Modeling Lensed Quasars with Neural Posterior Estimation: Complex Mass Models, Logan C. O’Brien
Understanding and Evaluating Genomic Language Models, Aadit Kapoor
Roadside Asset Extraction from Mobile LiDAR Point Cloud, Yushin Ahn, Riadh Munjy, and Stephen Choi
Machine Learning Identification of Athlete Sport Type Through ECG Analysis, Lucas B. Cofer, Timothy W. Churchill, Rishi Bhuptani, Aditya Inampudi, Manav Rajvanshi, Bjarni Atlason, Simon S.Y. Shim, Shaan Khurshid, Eugene H. Chung, Aaron Baggish, J. Sawalla Guseh, Kichang Lee, Aaron Baggish, Eugene Chung, Timothy Churchill, Meagan Wasfy, Katie M. Stewart, and Rory Weiner
A systematic review of machine learning in groundwater monitoring, Mrunmayee Dhapre, Shrikant Jadhav, Debanjana Das, Jehanzeb Khan, Youngsoo Kim, Sen Chiao, and Thomas Danielson
Understanding Residential Development in a High-Quality Transit Area (HQTA): An Application of Deep Learning, Dohyung Kim
Machine learning-guided field site selection for river classification, Zhihao Wang, Gregory Brian Pasternack, Yufang Jin, Costanza Rampini, Serena Alexander, Nikhil Kumar, Rune Storesund, K. Martin Perales, Christopher Lim, Stephanie Moreno, and Igor Lacan
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
Data and AI mystification: Ownership, control, and financialization in the platform, Andrew W. Alexander
Screening/Diagnosing Sarcopenia with Machine Learning–Powered Risk Assessment: The SARCO X Study, Murat Kara, Yasin Ceran, Pelin Analay, Mahmud Fazıl Aksakal, Mahmut Esad Durmuş, Tülay Tiftik, Beyzanur Çıtır, Fatıma Edibe Şener, Mehmet Emin Yılmaz, Evrim Coşkun, Zeliha Ünlü, Pelin Yıldırım, Eda Gürçay, Orhan Güvener, Hacer Doğan Varan, Eda Çeker, Esra Çataltepe, and Fatih Güngör
Explainable Use of Foundation Models for Job Hiring, Vishnu S. Pendyala, Neha Bais Thakur, and Radhika Agarwal
Digital Technology Adoption: Go Together With Supply Chain Partners, Xun Xu and Jonathan E. Jackson
LSE-Net: Integrated Segmentation and Ensemble Deep Learning for Enhanced Lung Disease Classification, Bhavan Kumar Basavaraju and Mohammad Masum
Revolutionizing Intensive Care Unit Care: A Scoping Review of Multimodal Family Engagement Technologies, Steven Calver
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
How to use social media and artificial intelligence to promote mental health among Chinese and Chinese American college students in the U.S., Ni Zhang, Jingru Guan, Terry Zou, Tianqin Shi, and Kaikai Liu
Learning by confusion: The phase diagram of the Holstein model, George Issa, Owen Bradley, Ehsan Khatami, and Richard Scalettar
The Effects of Avatar Human-Likeness on Psychological Closeness in Virtual-Reality, Rebecca L. Chae, Hyojin Lee, and Eunsoo Kim
Deep Learning for Non-Invasive Blood Pressure Monitoring: Model Performance and Quantization Trade-Offs, Anbu Valluvan Devadasan, Saptarshi Sengupta, and Mohammad Masum
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
Integrating AI into Library Systems: A Perspective on Applications and Challenges, Ian Tai and Souvick Ghosh
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
Renewable Electricity Management Cloud System for Smart Communities Using Advanced Machine Learning, Yukta Mehta, Vincent Lo, Vijen Mehta, Kunal Agrawal, Charan Teja Madabathula, Eugene Chang, and Jerry Gao
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
Use of Generative AI in Aiding Daily Professional Tasks: A Survey of Librarians’ Experiences, Lili Luo
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
Visualization Driven AI Ensuring Quality in Wearable Time-Series Sensor Data for Healthcare, Sayma Akther
SemanticGraphRec: Lightweight Hybrid Recommendations Powered by Semantic Item Representations and Graph Collaborative Filtering, Devi Surya Kumari Akula
San Jose Urban Forest – An Open-Source Tree Canopy Surveying and Assessment Tool, Martin Alvarez Lopez, Manan Choksi, Sai Yaaminie Ganda, Vaibhavi Hiteshkumar Savani, and Bernardo Flores
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
Enhancing Enrollment and Participation in Computing Ethics through CIRCLE: Cross-Campus Responsible Computing Learning Experiences, Nada Attar, Souvick Ghosh, Michele A.L. Villagran, and Darra Hofman
Visiorag: A Multimodal Framework for Enhancing Recommendation System Using Vision Transformers and Rag, Anitha Balachandran and Mohammad Masum
Generating Synthetic Malware Samples Using Generative AI, Tiffany Bao, Kylie Trousil, Quang Duy Tran, Fabio Di Troia, and Younghee Park
PHISHING DETECTION USING CONTINUAL LEARNING AND LARGE LANGUAGE MODELS, Gopi Prajeev Battula
Navigating accountability: the role of paradata in AI documentation and governance, Scott Cameron, Patricia C. Franks, Isto Huvila, and Norman Mooradian
Synthetic Malware Generation using Generative AI, Phanidhar Sai Sravan Chandana
Large Language Model powered ETL Pipeline Development A Project Report, Aditya Chandras
Comparison between Ribosomal Assembly and Machine Learning Tools for Microbial Identification of Organisms with Different Characteristics, Stephanie Chau, Carlos Rojas, Jorjeta G. Jetcheva, Mary Markart, Sudha Vijayakumar, Sophia Yuan, Vincent Stowbunenko, Amanda N. Shelton, and William B. Andreopoulos
Large Language Models for Bacterial Genomic Analysis, Manvendra Chavan
AI for Social Good Education Through a Culturally Responsive Pedagogy, Yu Chen, Heather Macias, Gabriel Granco, Yunfei Hou, and Frank A. Gomez
Self-Disclosure and Social Support in a Web-Based Opioid Recovery Community: Machine Learning Analysis, Yu Chi, Huai Yu Chen, and Khushboo Thaker
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
InvadeAI: INteractive ADvertising with Multimodal AI, Andrew Dunton, Riddhi Vyas, Harshal Shah, Soujanya Sankathala, and Mohammad Masum
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
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models, Anoushka Gade, Jorjeta G. Jetcheva, and Hardi Trivedi
Domain Specific Finetuning of LLMs Using PEFT Techniques, Deva Kumar Gajulamandyam, Sainath Veerla, Yasaman Emami, Kichang Lee, Yuanting Li, Jinthy Swetha Mamillapalli, and Simon Shim
Augmenting Missing Sensor Data for Robust Human Activity Recognition, Suryakangeyan kandasamy gowdaman
SJ Urban Impact: Generative AI Powered System for Participatory Civic Engagement Among Young Adults, Michelle Ha and Yu Chen
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
Association Between Risk Factors and Major Cancers: Explainable Machine Learning Approach, Xiayuan Huang, Shushun Ren, Xinyue Mao, Sirui Chen, Elle Chen, Yuqi He, and Yun Jiang
FRAMEWORK FOR IDENTITY PRIVACY THROUGH GENDER BASED SKELETONIZATION, Harrison Hwang
Lightweight Relevance Grader in RAG, Taehee Jeong
Advanced Carbon Monitoring in Agriculture Using Remote Sensing and Machine Learning Techniques, Ann John, Priyanka Bhyregowda, Madhulika Dutta, Sahana Prabhuswamy, Supriya Vasagiri, Jun Liu, and Jerry Gao
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
Personalized vs. non-personalized engagement for at-risk new users in data-scarce contexts, Sumin Lim, Chul Ho Lee, Yasin Ceran, and Keumseok Kang
Two-Stage Emotion Detection from Multimodal Data, Xiangyi Li
riboMoE: An Application of Mixture of Experts on Artificial Riboswitch Classification, Hainian Audrey Long
The Impact of Tree Data on Urban Heat Island Mapping: A San José Case Study, Martin Alvarez Lopez and Magdalini Eirinaki
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
Smart City AI Traffic Cloud - City Traffic Analysis and Monitoring Using AI Models, Yukta Mehta, Aishwarya Ashok, Deepthi Desharaju, Padhmavathy Cebolu Srinivasan, Sowmya Manchikanti, and Jerry Gao
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
StarryStudioAI: Automating UI Design with Code-Based Generative AI and RAG, Bhavik Patel, Poojan Gagrani, Smeet Sheth, Kashish Thakur, Priya Varahan, and Simon Shim
AI-Based Dynamic Spectrum Allocation Model for Wireless Network Management, Sai Sashank Peddibhotla
Unraveling the Enigma of Classification of Synthetic and Genuine Information Using Machine Learning and Explainable AI, Vishnu S. Pendyala
