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.

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Submissions from 2025

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Smart Highway Construction Site Monitoring Using Artificial Intelligence, Mehran Mazari, Yahaira Nava-Gonzalez, Ly Jacky N. Nhiayi, and Mohamad H. Saleh

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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

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Bayesian deep learning for uncertainty quantification and prediction of jet grout column diameter, Rakam Tamang, Yichuan Zhu, and Joseph Coe

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Spatiotemporal Dynamic Graph Convolutional Networks for Air Route Network Congestion Prediction, Jiantang Yin, Jixin Liu, Weili Zeng, Wenbin Wei, Wen Tian, and Ying Zhang

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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

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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

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Use of Generative AI in Aiding Daily Professional Tasks: A Survey of Librarians’ Experiences, Lili Luo

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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

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The Impact of Artificial Intelligence on Data Privacy: A Risk Management Perspective, Norman Mooradian, Patricia C. Franks, and Amitabh Srivastav

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Machine Learning, Deep Learning and AI for Cybersecurity, Mark Stamp and Martin Jureček

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Artificial Intelligence in Action: Real-world Applications and Innovations, Ahmed Banafa

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Advanced Computing: 4th International Conference, IACC 2024, Bali, Indonesia, December 13–14, 2024, Revised Selected Papers, Vishnu Pendyala, Deepak Garg, Suneet Kumar Gupta, and Mohammad Najafzadeh

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Trends in Sustainable Computing and Machine Intelligence: Proceedings of ICTSM 2024 (Algorithms for Intelligent Systems), Chandrasekar Vuppalapati, Surekha Lanka, and Antonio Sarasa Cabezuelo

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Visualization Driven AI Ensuring Quality in Wearable Time-Series Sensor Data for Healthcare, Sayma Akther

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SemanticGraphRec: Lightweight Hybrid Recommendations Powered by Semantic Item Representations and Graph Collaborative Filtering, Devi Surya Kumari Akula

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Landslide Prediction Using Time-Series Decomposition, Reinforcement Learning-based Feature Selection and ML Models, Mohith Sai Venkat Ankem

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Multilingual Sentiment Analysis Using Ensemble Learning, Farhan Ansari

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Enhancing Code Review Automation with Large Language Models using QLoRA Fine-Tuning and RAGs, Sumukh Naveen Aradhya

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On the Adversarial Robustness of Quantized Neural Networks Against Common Adversaries in Time-Series Forecasting, Maanak Arora

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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

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Visiorag: A Multimodal Framework for Enhancing Recommendation System Using Vision Transformers and Rag, Anitha Balachandran and Mohammad Masum

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Generating Synthetic Malware Samples Using Generative AI, Tiffany Bao, Kylie Trousil, Quang Duy Tran, Fabio Di Troia, and Younghee Park

Poster: Synthetic Malware Generation using Generative Models, Tiffany Bao, Kylie Trousil, Quang Duy Tran, Fabio Di Troia, and Younghee Park

Poster: Synthetic Malware Generation using Generative Models, Tiffany Bao, Kylie Trousil, Quang Duy Tran, Fabio Di Troia, and Younghee Park

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Poster: Synthetic Malware Generation using Generative Models, Tiffany Bao, Kylie Trousil, Quang Duy Tran, Fabio Di Troia, and Younghee Park

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PHISHING DETECTION USING CONTINUAL LEARNING AND LARGE LANGUAGE MODELS, Gopi Prajeev Battula

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Multimodal Deception Detection via Audio-Text Fusion with Deep Learning and ASR, Sai Bhargav Vallabhaneni

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Synthetic Malware Generation using Generative AI, Phanidhar Sai Sravan Chandana

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Large Language Model powered ETL Pipeline Development A Project Report, Aditya Chandras

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Large Language Models for Bacterial Genomic Analysis, Manvendra Chavan

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AI for Social Good Education Through a Culturally Responsive Pedagogy, Yu Chen, Heather Macias, Gabriel Granco, Yunfei Hou, and Frank A. Gomez

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Self-Disclosure and Social Support in a Web-Based Opioid Recovery Community: Machine Learning Analysis, Yu Chi, Huai Yu Chen, and Khushboo Thaker

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Selective Model Retraining for Malware Detection Using Drift Detection, Christofer Washington Berruz Chungata

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Empowering customer service with generative AI: enhancing agent performance while navigating challenges, Charles Costa and Souvick Ghosh

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Moving Target Defense with Quantized Morphence: Defense Quantification Against Common Adversaries in Image and Time Series Problems, Rithika Dhamala

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Suicidal Ideation Detection on Reddit using LLM-Annotated Data and Graph Neural Networks, Ikbal Singh Gurdev Singh Dhanjal

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InvadeAI: INteractive ADvertising with Multimodal AI, Andrew Dunton, Riddhi Vyas, Harshal Shah, Soujanya Sankathala, and Mohammad Masum

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Machine Learning based Network Traffic Classification with Cosine-Similarity based Out-Of-Distribution Detection, Prabhat Edupuganti

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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

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Image-to-Text Transcription: Analyzing and Describing Visual Content, Zixiao Fan

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It's About Time: Incorporating Temporality in Retrieval Augmented Language Models, Anoushka Gade, Jorjeta G. Jetcheva, and Hardi Trivedi

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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

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Augmenting Missing Sensor Data for Robust Human Activity Recognition, Suryakangeyan kandasamy gowdaman

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SJ Urban Impact: Generative AI Powered System for Participatory Civic Engagement Among Young Adults, Michelle Ha and Yu Chen

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Modelling Cognitive Brain Processes, Adithya Harish Kumar

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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

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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

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FRAMEWORK FOR IDENTITY PRIVACY THROUGH GENDER BASED SKELETONIZATION, Harrison Hwang

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SyntheticPop: An Investigation Into Poisoning Automated Speaker Verification Systems, Eshaq Jamdar

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Lightweight Relevance Grader in RAG, Taehee Jeong

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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

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RIFT - Reddit Information Falsity Tagger, Parth Joshi

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Malware Generation and Classification using PixelCNN, Mounika Krishna Teja Karumudi

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MediLightRAG: A System for Medical Query Response Using Fine-Tuned LLMs and Graph Based Retrieval, Rajiv Karthik Reddy Kodimala

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Advanced Knowledge Extraction with Biomedical Data Using LLMs, Akshat Krishna

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Multi-Model Unit Test Generation Framework With Reinforcement Learning, Tasman Kuang

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Simple vs. Complex Human Activity Classification via Hybrid Machine Learning Models, Anusha Kukreja

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AI-Powered User Activity Prediction and Contextual App Recommendation System, Naveen Kumar Potta

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EvoRGCN: Harnessing ESM-2 Evolutionary Embeddings with Relational GCNs for High-Fidelity Protein-Protein Interaction Prediction, Mohit Kunder

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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

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Diffusion Model On API Call Classification, Dan Le

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Evaluating Conditional Diffusion-Based Data Augmentation in InsightFace Based Facial Recognition Systems, Jason Li

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Personalized vs. non-personalized engagement for at-risk new users in data-scarce contexts, Sumin Lim, Chul Ho Lee, Yasin Ceran, and Keumseok Kang

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Multimodal Deception Detection via Audio-Text Fusion with Deep Learning and ASR, Xiangyi Li

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riboMoE: An Application of Mixture of Experts on Artificial Riboswitch Classification, Hainian Audrey Long

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The Impact of Tree Data on Urban Heat Island Mapping: A San José Case Study, Martin Alvarez Lopez and Magdalini Eirinaki

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On the Effectiveness of Large Language Models for Classifying Malicious URLs, Jhanvi Lotwala

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Transformer Integration, Fine-tuning and Zero-Shot Learning for State of Health Estimation in Li-ion Batteries using Large Language Models, CHINMAY NILESH MAHAGAONKAR

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Gen Ai for Malicious Network Data, Aneesh Maturu

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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

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Energy Considerations for Large Pre-trained Neural Networks, Leo Mei

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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

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SECURED DATA STORAGE MANAGEMENT WITH DEDUPLICATION IN CLOUD COMPUTING AND LOCAL GPT INTEGRATION, Pavan Myana

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AI-Enabled Anticipatory Handover Predictions in 5G Networks, Ojas Ankush Naik

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Identifying Red Sponges on ARMS Plates by Preprocessing Images using Histogram Equalization, Barry Ng

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Retrieval-Augmented Generation (RAG) Chatbots: A Comparative Study of Claude, GPT-4o, DeepSeek, and Llama, Kalindi Vijesh Parekh

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Detecting Malicious Encrypted Network Traffic Using Deep Learning and CNN-Based Feature Representations, Suyash Pasari

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StarryStudioAI: Automating UI Design with Code-Based Generative AI and RAG, Bhavik Patel, Poojan Gagrani, Smeet Sheth, Kashish Thakur, Priya Varahan, and Simon Shim

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AI-Based Dynamic Spectrum Allocation Model for Wireless Network Management, Sai Sashank Peddibhotla

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Automated Research Review Support Using Machine Learning, Large Language Models, and Natural Language Processing, Vishnu S. Pendyala, Karnavee Kamdar, and Kapil Mulchandani

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Human vs. LLM: Interpreting Emotion from Neutral Faces in Contextually Charged Backgrounds, Sai Mounika Peteti

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Multimodal Feature Fusion and Machine Learning for ADHD Detection Using Neuroimaging Data, Isabel Pham

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Collision Scenario Analysis for Autonomous Vehicles Using Multimodal Deep Learning Models, Johnny Qiu, Lin Zhu, Manyu Zhang, Yuan Pan, Peng Xu, Jerry Gao, and Jun Liu

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AI Powered Legal Decision Support System, Alisha Rath

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Transforming Chatbot Text: A Sequence-to-Sequence Approach to Human-Like Text Generation, Natesh Reddy

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A Hierarchical Two-Stage Adversarial Training Framework for Defending LLMs Against Jailbreak Attacks, Revanth Reddy Shada

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Enhancing LLM’s Mathematical and Theorem Proving Abilities, Naga Rohan Kumar Bayya

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AUTOMATED CORAL DETECTION USING MASK R-CNN FOR RESTORATION MONITORING AT THE FLORIDA AQUARIUM, Sadaf Sadre Arhami

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PERFORMANCE COMPARISON OF MACHINE LEARNING ACROSS METAL, CUDA, AND NEUROMORPHIC FRAMEWORKS, Ryan Saini

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RAG ENHANCED LLM-BASED ASSISTANT FOR ACADEMIC SUPPORT IN PROGRAMMING, Devam Sanjay Sheth

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Improving Gemini’s Ability to Generate Mermaid Code, Pawan Sarma

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TraceAI: Intelligent Distributed Tracing Using Large Language Models, Mihir Dhirajlal Satra

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Semantic and Structural Fusion for Code Smell Detection Using CodeBERT and Random Forest, Sohail Shaik

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Predicting Sleep Stages from Activity Patterns, Sandeep Shandilya Katna

AI Career Paths and Skills for Information Systems Graduates, Ashraf Shirani

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AI Career Paths and Skills for Information Systems Graduates, Ashraf Shirani

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DETECTING AI-GENERATED NEWS ARTICLES USING UNSUPERVISED MACHINE LEARNING ALGORITHMS, Lilou Sicard-Noel

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SMART: Semantic Mapping and Analysis for Regional Terrain Using Multi-Scale U-Net and TOPSIS, Rashmi Sonth

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Assessing Pre-processing, Data Augmentation, and Traditional Edge Detection on Arabian Gulf Corals, Maya Talpai-Vasinthascha

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AI-Generated Text Detection and Source Identification, Anjana Priyatham Tatavarthi, Faranak Abri, and Nada Attar