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 2026

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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

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JAVATUTOR: AN INTEGRATED LLM FRAMEWORK FOR STRUCTURED PROGRAMMING TUTORING AND PROBLEM-SOLVING IN JAVA, Amey Makarand Dhongade

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Real-time Defect Detection in Ceramic Additive Manufacturing Using Deep Convolutional Neural Networks, Dylan Doan, Amir Armani, and Marcia Golmohamadi

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Predicting Traffic Collision Injury Severity in San Jose, Benjamin Fong

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SAFE-R2R: A Safety-Aware and Budget-Optimized Retrieval Controller for RAG Systems, Mandar Sunil Gondane

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Empowering Students to Engage With Climate Change Action: A Project-Based Module for Artificial Intelligence Literacy and Sustainability Thinking, Gabriel Granco, Yu Chen, Heather Macias, Yunfei Hou, and Frank A. Gomez

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Generation of Impact Factor-Driven Security Rating Questionnaire Using LLMs for AIoT Applications, Yuna Han, Simon Shim, Deva Kumar Gajulamandyam, Yeji Choi, Hyunwoo Lee, and Hangbae Chang

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ScholarConnect: An AI-Powered Research Discovery Platform for Graduate Students, Abhi Jain

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Emotion-Based Music Recommendation System, Harshini Kanamathareddy

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Adversarial Machine Learning for Robust Fraud Detection in Financial Systems, Rohan Kapdi

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MediniAI: Spatially Grounded Agentic AI System for Urban Intelligence and Real Estate Reasoning, Shantanu Shivraj Khanapure

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Transforming Visual Communication: The Role of Large Language Models in Media Content Creation, Tina Korani

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Classifying and Generating Externally Visible Characteristics from Human DNA using Transformer Architectures and Neural Networks, Andy Kuei

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A Temporal Evaluation Framework for Pedagogical Scope Compliance in RAG Tutoring Systems, Kranthi Kusal Latchupathula

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Structured Chain-of-Thought Reasoning to Mitigate Hallucinations in Large Language Models, Jerry Liu

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Reason, Review, Repeat: Hybrid Chain of Thought to Mitigate Hallucinations in Large Language Models, Jerry Liu, Melody Moh, and Teng Sheng Moh

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Evaluating Opcode based NLP and Graph Representations for Synthetic Malware, Jonathan Macoco

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AI CONTEXTUAL LEARNING TOOL: TEACHING MACHINE LEARNING VIA CONCEPTUAL TRANSFER, Shishir Dongre Mala

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Mitigating API Hallucination in LLM-Generated Code via Structured Grounding, Selective Augmentation, and Validator-Guided Repair, Aniket Ramesh Mali

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Rethinking Library OPAC: From Siloed Retrieval to AI and ML-Driven Discovery Using FastAPI and MySQL, Sukumar Mandal

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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

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Multimodal Emotion Detection System, Shubhankar Sameer Munshi

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Modeling Sealed Deck Construction in Collectible Card Games Using Learning-to-Rank Approach, Michael Dinh Nguyen

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Computer Vision Pipeline for Archaeological Artifact Detection Using Faster R-CNN, Mithi Pandey

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Benford’s Law for Malware Detection: Class-Aware Feature Selection with Cascade Hybrid Classification, Vaibhav Reddy Panyala

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RelCheck: Training-Free Detection and Correction of Relational Hallucinations in Multimodal Large Language Model Outputs, Siddhi Sarjerao Patil

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Multi-Scale Alcohol Consumption Behavior Detection from Wearable Motion Sensors, Ananya Penuballi

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Exploring Steganographic Capacity of Machine Learning Models Via Bit-Level Parameter Perturbations, Akanksha Raghapur

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Query Implied Generative Engine Optimization, Shilpa Ramakrishna

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Spartan Write: An Academic Document Editor Supercharged by Agentic Artificial Intelligence, Vivek Raman

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Reinforcement Learning-Based Scheduling of Dependent AI Workflows on the Edge-Cloud Continuum, Siva Girish Ramesh

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Bilingual Video Captioning: Extending Vision-Language Models for English and Hindi, Gitika Rath

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Machine Learning, Computer Vision, and Corals, Patricia Saito

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Evaluating Prompt Brittleness and Robustness in Large Language Models Across Classification, Reasoning, and Retrieval Tasks, Shubh Sanghvi

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Dish-to-Grocery Structured Prediction with Index-Constrained Large Language Models, Titas Sarkar

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Explainable Malware Detection: Integrating Hierarchical Machine Learning with Large Language Model Reasoning on the EMBER Dataset, Pranay Shanigarapu

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Sleeper Agent Behavior in Small Code Language Models, Ananta Singh

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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

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Investigating UI Based and AI Based Interactions in VR Environments for Human Anatomy Education, Siddharth Sondhi

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Robustness of AI-Art Detectors under Generator Shift, Shivank Singh Thakur

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Match Made in ML: Developing Compatibility Relationships in Evidential Reasoning Approaches with Machine Learning, Ella Jolie Thomas

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A Modular Enhancement Pipeline to Improve Code Generation in Small Language Models, Sakshi Sanskruti Tripathy

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Performing Data Analysis and Machine Learning Techniques on Health Data, Rachel Tsai

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Artificial Intelligence and Data Science in Agriculture Specialty Crops and Climate Change Modeling, Chandrasekar Vuppalapati

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A BENCHMARK STUDY OF LARGE LANGUAGE MODELS ON DRUM PATTERN STYLE CLASSIFICATION, Chung-Hsuan Wu

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ApplicantAI: Transforming Resume Creation, Leveraging LLMs for Job Applications, Dustin Yan

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Evaluating Noise-Based Defenses Against Adversarial Attacks in Object Detection, Victor Zhen

Theses/Dissertations from 2025

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Natural Language Question Answering on Tabular Data Using Large Language Models, Yashasvi Kanchugantla

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Exploring Math Word Problem Generation With LLMs, Trung Hieu Vuong

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Developing a Vietnamese Text Summarization Large Language Model on Limited Hardware, Tin Pho

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Enhancing Medical Reasoning in Small Language Models Through Feedback-Guided Refinement, Monish Sai Lakamraju

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Attitudes and perception of LIS students towards artificial intelligence(AI), Shahzadi Humbhi, Shabbir Tareen, and Alia Humbhi

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Building a Data-Driven Security AI Framework Using Machine Learning Models, Christopher Chan Vi

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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

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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

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Cluster analysis and concept drift detection in malware, Aniket Mishra and Mark Stamp

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Performance and Interpretability Analysis of Code Generation Large Language Models, Vishnu S. Pendyala and Neha B. Thakur

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Towards a Generalized and Optimized Apriori Approach, Artem Abdikov

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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

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Embedding-Driven Synthetic Malware Generation with Autoencoders and Cluster-Tangent Diffusion, Gunnika Kapoor, Sathvika Nadipalli, and Fabio Di Troia

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GenAI and LLMs for Source and Channel Coding in B5G Networks, Jaswanthi Mandalapu, Abhishek Roy, and Navrati Saxena

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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

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Secondary Students’ Conceptions of AI in an African Country, Katharine Childs, Douglas Case, Ethel Tshukudu, Tebogo Videlmah Molebatsi, Gaokgakala Alogeng, and Emma R. Dodoo

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Evolution of Reference Services in the Era of Generative Artificial Intelligence, José Aguiñaga, Norman Mooradian, Souvick Ghosh, and Darra Hofman

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The Future of Academic Writing in the Age of Generative AI, Marlene Holmner, Sandra Hirsh, Anika Meyer, Anna Mierzecka, and Abebe Rorissa

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Tracing the Past, Predicting the Future: A Systematic Review of AI in Archival Science, Gaurav Shinde, Tiana Kirstein, Souvick Ghosh, and Patricia Franks

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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

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From Queries to Conversations: Examining Human–GenAI Information-Seeking through Belkin's Cognitive Communication Model, Camille Charette and Souvick Ghosh

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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

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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

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Wildfire Emergency Response and Evacuation Framework Using Drones: Phase I, Hovannes Kulhandjian

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Special issue on big data computing service and machine learning applications, Katerina Potika, Magdalini Eirinaki, Monica Vitali, Anna Bernasconi, and Hiroyuki Fujioka

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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

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Deciphering Speech Through Vision: A Deep Learning Lip Reading System, Srujith Rao Ambati and Sayma Akther

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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

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Synthetic Social Engineering Scenario Generation Using LLMs for Awareness-Based Attack Resilience, Jade Webb, Faranak Abri, and Sayma Akther

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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

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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

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UAV-Based Transport Management for Smart Cities Using Machine Learning, Sweekruthi Balivada, Jerry Gao, Yuting Sha, Manisha Lagisetty, and Damini Vichare

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Enhancing Clinical Named Entity Recognition via Fine-Tuned BERT and Dictionary-Infused Retrieval-Augmented Generation, Soumya Challaru Sreenivas, Saqib Chowdhury, and Mohammad Masum

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Library Science Literature, 2019–2025: An Exploration Using Critical Bibliometric Methods, Nick Szydlowski

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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

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Data Centers and Water: Challenges and Solutions for Sustainable Cooling, Leila Khatib, Anh Pham, Khaled Ahmed, and Val S. Frenkel

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Thrust Coefficient Prediction In Hydrokinetic Turbines Using Supervised and Unsupervised Machine Learning, Advika Arya, Uma Nair, and Sohail Zaidi

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AI/ML Approach for Predictive Modeling of RNA Structures and Chemical Reactivity Profiles, Jatin Sarabu and Sohail Zaidi

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Projecting and Comparing Obesity Trends Worldwide via Machine Learning Models, Manasvini Tammineedi, Sandhya Kumar, Devi Nair, and Sohail Zaidi

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Time Series Modelling of Landslides using Reinforcement Learning for Feature Selection, Mohith Sai Venkat Ankem, Navrati Saxena, and Akshay Ravi

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A Comparative Study of Ensemble Learning Methodologies for Multilingual Sentiment Analysis, Farhan Ansari, Navrati Saxena, and Aditya Kulkarni