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
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 theEnterprise 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
Understanding and Evaluating Genomic Language Models, Aadit Kapoor
Multi-Modal Adversarial Activity Detection Using Keyboard and Mouse Dynamics, Johny Xiong and Amith Kamath Belman
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
Integrating Sociodemographics into Trip Chain Models for Residential Electric Vehicle Charging Schedule Simulation with Large Language Models, Yulin Zeng, Yi Fang, Yuhong Liu, and Hohyun Lee
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
Divine Feminine Energies in Vedic Anthologies: A Scientific Inquiry Using AI and Large Language Models, Chandrasekar Vuppalapati
Divine Feminine Energies in Vedic Anthologies: A Scientific Inquiry Using AI and Large Language Models, Chandrasekar Vuppalapati
Aerosol-Cloud Interactions in Cirrus Clouds Based on Global-Scale Airborne Observations and Machine Learning Models, Derek Ngo, Minghui Diao, Ryan J. Patnaude, Sarah Woods, and Glenn Diskin
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
The impact of Artificial Intelligence on Ecojustice and Ethics, Vishnu S. Pendyala
The impact of Artificial Intelligence on Ecojustice and Ethics, Vishnu S. Pendyala
Large Language Models for Quantitative Analysis of Statutory Stringency and Its Correlation with Sexual Assault Crime Rates, Samhita Konduri and Vishnu S. Pendyala
Large Language Models for Quantitative Analysis of Statutory Stringency and Its Correlation with Sexual Assault Crime Rates, Samhita Konduri and Vishnu S. Pendyala
Unraveling the Enigma of Classification of Synthetic and Genuine Information Using Machine Learning and Explainable AI, Vishnu S. Pendyala
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
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
Navigating accountability: the role of paradata in AI documentation and governance, Scott Cameron, Patricia C. Franks, Isto Huvila, and Norman Mooradian
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
The Impact of Artificial Intelligence on Data Privacy: A Risk Management Perspective, Norman Mooradian, Patricia C. Franks, and Amitabh Srivastav
Machine Learning, Deep Learning and AI for Cybersecurity, Mark Stamp and Martin Jureček
Artificial Intelligence in Action: Real-world Applications and Innovations, Ahmed Banafa
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
Trends in Sustainable Computing and Machine Intelligence: Proceedings of ICTSM 2024 (Algorithms for Intelligent Systems), Chandrasekar Vuppalapati, Surekha Lanka, and Antonio Sarasa Cabezuelo
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
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
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
Poster: Synthetic Malware Generation using Generative Models, 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
Multimodal Deception Detection via Audio-Text Fusion with Deep Learning and ASR, Sai Bhargav Vallabhaneni
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