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 @ SJSUMaster's Projects from 2026
Exploring Steganographic Capacity of Machine Learning Models Via Bit-Level Parameter Perturbations, Akanksha Raghapur
Query Implied Generative Engine Optimization, Shilpa Ramakrishna
Spartan Write: An Academic Document Editor Supercharged by Agentic Artificial Intelligence, Vivek Raman
Reinforcement Learning-Based Scheduling of Dependent AI Workflows on the Edge-Cloud Continuum, Siva Girish Ramesh
Bilingual Video Captioning: Extending Vision-Language Models for English and Hindi, Gitika Rath
Machine Learning, Computer Vision, and Corals, Patricia Saito
Evaluating Prompt Brittleness and Robustness in Large Language Models Across Classification, Reasoning, and Retrieval Tasks, Shubh Sanghvi
Dish-to-Grocery Structured Prediction with Index-Constrained Large Language Models, Titas Sarkar
Explainable Malware Detection: Integrating Hierarchical Machine Learning with Large Language Model Reasoning on the EMBER Dataset, Pranay Shanigarapu
Sleeper Agent Behavior in Small Code Language Models, Ananta Singh
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
Investigating UI Based and AI Based Interactions in VR Environments for Human Anatomy Education, Siddharth Sondhi
Robustness of AI-Art Detectors under Generator Shift, Shivank Singh Thakur
Match Made in ML: Developing Compatibility Relationships in Evidential Reasoning Approaches with Machine Learning, Ella Jolie Thomas
A Modular Enhancement Pipeline to Improve Code Generation in Small Language Models, Sakshi Sanskruti Tripathy
Performing Data Analysis and Machine Learning Techniques on Health Data, Rachel Tsai
A BENCHMARK STUDY OF LARGE LANGUAGE MODELS ON DRUM PATTERN STYLE CLASSIFICATION, Chung-Hsuan Wu
ApplicantAI: Transforming Resume Creation, Leveraging LLMs for Job Applications, Dustin Yan
Evaluating Noise-Based Defenses Against Adversarial Attacks in Object Detection, Victor Zhen
Theses/Dissertations from 2025
Natural Language Question Answering on Tabular Data Using Large Language Models, Yashasvi Kanchugantla
Exploring Math Word Problem Generation With LLMs, Trung Hieu Vuong
Developing a Vietnamese Text Summarization Large Language Model on Limited Hardware, Tin Pho
Enhancing Medical Reasoning in Small Language Models Through Feedback-Guided Refinement, Monish Sai Lakamraju
Attitudes and perception of LIS students towards artificial intelligence(AI), Shahzadi Humbhi, Shabbir Tareen, and Alia Humbhi
Building a Data-Driven Security AI Framework Using Machine Learning Models, Christopher Chan Vi
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
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
Cluster analysis and concept drift detection in malware, Aniket Mishra and Mark Stamp
Performance and Interpretability Analysis of Code Generation Large Language Models, Vishnu S. Pendyala and Neha B. Thakur
Towards a Generalized and Optimized Apriori Approach, Artem Abdikov
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
Embedding-Driven Synthetic Malware Generation with Autoencoders and Cluster-Tangent Diffusion, Gunnika Kapoor, Sathvika Nadipalli, and Fabio Di Troia
GenAI and LLMs for Source and Channel Coding in B5G Networks, Jaswanthi Mandalapu, Abhishek Roy, and Navrati Saxena
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
Secondary Students’ Conceptions of AI in an African Country, Katharine Childs, Douglas Case, Ethel Tshukudu, Tebogo Videlmah Molebatsi, Gaokgakala Alogeng, and Emma R. Dodoo
Evolution of Reference Services in the Era of Generative Artificial Intelligence, José Aguiñaga, Norman Mooradian, Souvick Ghosh, and Darra Hofman
The Future of Academic Writing in the Age of Generative AI, Marlene Holmner, Sandra Hirsh, Anika Meyer, Anna Mierzecka, and Abebe Rorissa
Tracing the Past, Predicting the Future: A Systematic Review of AI in Archival Science, Gaurav Shinde, Tiana Kirstein, Souvick Ghosh, and Patricia Franks
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
From Queries to Conversations: Examining Human–GenAI Information-Seeking through Belkin's Cognitive Communication Model, Camille Charette and Souvick Ghosh
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
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
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
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
Deciphering Speech Through Vision: A Deep Learning Lip Reading System, Srujith Rao Ambati and Sayma Akther
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
Synthetic Social Engineering Scenario Generation Using LLMs for Awareness-Based Attack Resilience, Jade Webb, Faranak Abri, and Sayma Akther
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
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
UAV-Based Transport Management for Smart Cities Using Machine Learning, Sweekruthi Balivada, Jerry Gao, Yuting Sha, Manisha Lagisetty, and Damini Vichare
Enhancing Clinical Named Entity Recognition via Fine-Tuned BERT and Dictionary-Infused Retrieval-Augmented Generation, Soumya Challaru Sreenivas, Saqib Chowdhury, and Mohammad Masum
Library Science Literature, 2019–2025: An Exploration Using Critical Bibliometric Methods, Nick Szydlowski
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
Data Centers and Water: Challenges and Solutions for Sustainable Cooling, Leila Khatib, Anh Pham, Khaled Ahmed, and Val S. Frenkel
Thrust Coefficient Prediction In Hydrokinetic Turbines Using Supervised and Unsupervised Machine Learning, Advika Arya, Uma Nair, and Sohail Zaidi
AI/ML Approach for Predictive Modeling of RNA Structures and Chemical Reactivity Profiles, Jatin Sarabu and Sohail Zaidi
Projecting and Comparing Obesity Trends Worldwide via Machine Learning Models, Manasvini Tammineedi, Sandhya Kumar, Devi Nair, and Sohail Zaidi
Time Series Modelling of Landslides using Reinforcement Learning for Feature Selection, Mohith Sai Venkat Ankem, Navrati Saxena, and Akshay Ravi
A Comparative Study of Ensemble Learning Methodologies for Multilingual Sentiment Analysis, Farhan Ansari, Navrati Saxena, and Aditya Kulkarni
A Comparative Study of Retrieval-Augmented Generation (RAG) Chatbots, Kalindi Vijesh Parekh, Navrati Saxena, and Mohammad Adil Ansari
Acoustic Wave Manipulation Through Sparse Robotic Actuation, Tristan Shah, Noam Smilovich, Feruza Amirkulova, Samer Gerges, and Stas Tiomkin
Acoustic Wave Manipulation Through Sparse Robotic Actuation, Tristan Shah, Noam Smilovich, Feruza Amirkulova, Samer Gerges, and Stas Tiomkin
Energy-Efficient Machine Learning Based Denoising Techniques for Sustainable Medical Imaging, Vidula V. Meshram, Vishal A. Meshram, Pallavi Rege, Kailas Patil, Shrikant Jadhav, and Gandharva Thite
Energy-Efficient Machine Learning Based Denoising Techniques for Sustainable Medical Imaging, Vidula V. Meshram, Vishal A. Meshram, Pallavi Rege, Kailas Patil, Shrikant Jadhav, and Gandharva Thite
Exploring the Use and Misuse of Large Language Models, Hezekiah Paul D. Valdez, Faranak Abri, Jade Webb, and Thomas H. Austin
Deep Learning-Based Drowsiness Detection System for Driver’s Safety, Sindhu Vidyanathan Dixith, Shrikant Jadhav, Youngsoo Kim, and Naveenkumar Jayakumar
Using Large Language Models to Investigate the Origin of Chronic Wasting Disease, G. Kent Webb
Inter-Device User Keystroke Analysis, Austin Erwin-Martinetti and Amith Kamath Belman
Poster: Cloudsweeper: Leveraging Large Language Models to Personalize Sensitive Archive Search, Victor Escuerdo, Sergio Talavera, Gautam Santhanu Thampy, Ivan Torres, Daniel Vega Lojo, Chris Kanich, and Magdalini Eirinaki
Poster: Cloudsweeper: Leveraging Large Language Models to Personalize Sensitive Archive Search, Victor Escuerdo, Sergio Talavera, Gautam Santhanu Thampy, Ivan Torres, Daniel Vega Lojo, Chris Kanich, and Magdalini Eirinaki
SyntheticPop: Attacking Speaker Verification Systems With Synthetic VoicePops, Eshaq Jamdar and Amith Kamath Belman
Cyber-Security Dashboard: An Extensible Intrusion Detection System for Distributed Controls Systems, Aidan Jones, Ankita Jaswal, Arpitha Srinivas, Regenel Anastacio, and Mahima Agumbe Suresh
Cyber-Security Dashboard: An Extensible Intrusion Detection System for Distributed Controls Systems, Aidan Jones, Ankita Jaswal, Arpitha Srinivas, Regenel Anastacio, and Mahima Agumbe Suresh
Context-Aware Natural Language Processing for Malware Detection, Helen Liu, Summer Mccune, Quang Duy Tran, Fabio Di Troia, and Younghee Park
Synthetic Malware Image Generation Based on Generative Models Against Zero-Day Attacks, Arjun Sudheer, Ayesha Ahmed, Fabio Di Troia, and Younghee Park
Synthetic Malware Image Generation Based on Generative Models Against Zero-Day Attacks, Arjun Sudheer, Ayesha Ahmed, Fabio Di Troia, and Younghee Park
Poster: Threat Intelligence & Modeling Practices for IoMT Devices using Wi-Fi Communications, Eva Wilson, Cody Ourique, and Bernardo Flores
Poster: Threat Intelligence & Modeling Practices for IoMT Devices using Wi-Fi Communications, Eva Wilson, Cody Ourique, and Bernardo Flores
Dynamics and lipid membrane coupling of the RAS-RAF complex revealed via multiscale simulations, Timothy S. Carpenter; Fikret Aydin; Chris Neale; Que N. Van; Xiaohua Zhang; Harsh Bhatia; Jason W. Sidabras; Peter H. Frank; Konstantia Georgouli; Jeremy O.B. Tempkin; Violeta Burns Casamayor; Gulcin Gulten; Rebika Shrestha; Debanjan Goswami; Francesco Di Natale; Joseph R. Chavez; Liam G. Stanton; and For full author list, see comments below
Dynamics and lipid membrane coupling of the RAS-RAF complex revealed via multiscale simulations, Timothy S. Carpenter; Fikret Aydin; Chris Neale; Que N. Van; Xiaohua Zhang; Harsh Bhatia; Jason W. Sidabras; Peter H. Frank; Konstantia Georgouli; Jeremy O.B. Tempkin; Violeta Burns Casamayor; Gulcin Gulten; Rebika Shrestha; Debanjan Goswami; Francesco Di Natale; Joseph R. Chavez; Liam G. Stanton; and For full author list, see comments below
Deep Learning for the Early Detection of Invasive Ductal Carcinoma in Histopathological Images: Convolutional Neural Network Approach With Transfer Learning, Naga Shreya Chilumukuru, Pragya Priyadarshini, and Yawo Ezunkpe
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
The Effectiveness of Kolmogorov–Arnold Networks in the Healthcare Domain, Vishnu S. Pendyala and Nivedita Venkatachalam
The Effectiveness of Kolmogorov–Arnold Networks in the Healthcare Domain, Vishnu S. Pendyala and Nivedita Venkatachalam
Robust Underactuated Point-Feet Bipedal Locomotion Using Deep Reinforcement Learning and a Balance Recovery System, Aref Amiri, Soroush Zare, and Mojtaba Sharifi
