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 2024
Redefining Reference Services in the 21st Century, Johanna Tunon
The Evolution of Artificial Intelligence in Gaming, Aditi Jorapur
Bridging Sociotechnical Divides: Trustworthy AI for Community Well-Being and Fair Decision-Making, Souvick Ghosh
Estimating Models for Engineering Costs on the State Highway Operation and Protection Program (SHOPP) Portfolio of Projects, Elhami Nasr, Tariq Shehab, Nigel Blampied, and Vinit Kanani
Artificial Intelligence for Pedestrian and Bicyclist Safety: Using AI to Detect Near-Miss Collisions, Mohammad Pourhomayoun
Teacher and Student Perspectives of Technology Use in Elementary School Classrooms, Anthony Oskar Alvarado
Controllable Physics-Informed Latent Space for Acoustic Wave Manipulation, Tristan Shah
Harnessing Artificial Intelligence for an Affordable Quality of Life, Vishnu S. Pendyala
Tai Chi Expertise Classification in Older Adults Using Wrist Wearables and Machine Learning, Yang Hu, Mengyue Huang, Jonathan Cerna, Rachneet Kaur, and Manuel E. Hernandez
KritiSamhita: A machine learning dataset of South Indian classical music audio clips with tonic classification, Samhita Konduri, Kriti V. Pendyala, and Vishnu S. Pendyala
Synthetic Malware Using Deep Variational Autoencoders and Generative Adversarial Networks, Aaron Choi, Albert Giang, Sajit Jumani, David Luong, and Fabio Di Troia
Malware Classification Using Dynamically Extracted API Call Embeddings, Sahil Aggarwal and Fabio Di Troia
Development of the Roadway Pothole Management Program, DingXin Cheng
Cost-effectiveness Analysis of Colorectal Cancer Screening Strategies Using Active Learning and Monte Carlo Simulation, Amirhossein Fouladi, Amin Asadi, Eric A. Sherer, and Mahboubeh Madadi
Analysis of Multilanguage Regional Music Tracks Using Representation Learning Techniques in Lower Dimensions, Vishnu S. Pendyala, Samhita Konduri, and Kriti V. Pendyala
A Catalogue and analysis of ultra-diffuse galaxy spectroscopic properties, Jonah S. Gannon, Anna FerrCrossed D Sign©-Mateu, Duncan A. Forbes, Jean P. Brodie, Maria Luisa Buzzo, and Aaron J. Romanowsky
Camera-Based Crime Behavior Detection and Classification, Jerry Gao, Jingwen Shi, Priyanka Balla, Akshata Sheshgiri, Bocheng Zhang, Hailong Yu, and Yunyun Yang
Smart Robot Design and Implementation to Assist Pedestrian Road Crossing, Hovannes Kulhandjian
iSchool Student Research Journal, Vol.14, Iss.1
Looking Ahead: Incorporating AI in MLIS Competencies, Souvick Ghosh and Denise McCoy
Into the Unknown: Developing AI Policies for the Student Research Journal, Marc Hoffeditz
AI in Academia: Policy Development, Ethics, and Curriculum Design, Odin Halvorson
Opinion: How Artificial Intelligence Can Transform St. Louis Traffic, Vishnu S. Pendyala
Tensor-Based Least-Squares Solutions for Multirelational Signals and Applications, Shih Yu Chang and Hsiao Chun Wu
Efficient learning of accurate surrogates for simulations of complex systems, A. Diaw, M. McKerns, I. Sagert, L. G. Stanton, and M. S. Murillo
The use of machine learning for the determination of a type/model of firearms by the characteristics on cartridge cases, Pavel Giverts, Ksenia Sorokina, Mark Barash, and Vladimir Fedorenko
Explaining Misinformation Detection Using Large Language Models, Vishnu S. Pendyala and Christopher E. Hall
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems, Derek Lilienthal, Paul Mello, Magdalini Eirinaki, and Stas Tiomkin
Artificial Intelligence and Data Science in Healthcare, Shayan Shams
The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs, Saroj Gopali, Akbar S. Namin, Faranak Abri, and Keith S. Jones
Analysis of Various Machine Learning Algorithms for Using Drone Images in Livestock Farms, Jerry Gao, Charanjit Kaur Bambrah, Nidhi Parihar, Sharvaree Kshirsagar, Sruthi Mallarapu, Hailong Yu, Jane Wu, and Yunyun Yang
Optimization of Sensor Placement for Modal Testing Using Machine Learning, Todd Kelmar, Maria Chierichetti, and Fatemeh Davoudi Kakhki
Anonymous Traffic Detection Based on Feature Engineering and Reinforcement Learning, Dazhou Liu and Younghee Park
Sheet resistance prediction of laser induced graphitic carbon with transformer encoder-enabled contrastive learning, Yupeng Wei, Gerd Grau, and Dazhong Wu
State of health and remaining useful life prediction of lithium-ion batteries with conditional graph convolutional network, Yupeng Wei and Dazhong Wu
Introduction to Artificial Intelligence (AI), Ahmed Banafa
Machine learning applications in forensic DNA profiling: A critical review, Mark Barash, Dennis McNevin, Vladimir Fedorenko, and Pavel Giverts
Personalized Multimedia Recommendation Systems Using Higher-Order Tensor Singular-Value-Decomposition, Shih Yu Chang, Hsiao Chun Wu, Kun Yan, Xinjia Chen, Scott Chih Hao Huang, and Yiyan Wu
A natural language processing approach to Malware classification, Ritik Mehta, Olha Jurečková, and Mark Stamp
Assessing the Reliability of Machine Learning Models Applied to the Mental Health Domain Using Explainable AI, Vishnu Pendyala and Hyungkyun Kim
A Two-stage Machine Learning Approach for Fake News Detection and News Article Categorization, Snegdha Adusumilli
Deciphering Speech through Vision: A Deep Learning Lip Reading System, Srujith Rao Ambati
Ethical considerations of generative AI-enabled human resource management, Pierre Andrieux, Richard D. Johnson, Jalal Sarabadani, and Craig Van Slyke
NFT Price Prediction using Machine Learning, Akhil Patil Bagili
Image Segmentation by Convolutional Neural Networks in Coral Resilience Research, Jennifer Benbow
Optimization of Inter-Satellite Routing using LSTM-based Path Prediction Model, Yash Bhamare
Robustness of Learning Models to Label Flipping Attacks, Sarvagya Bhargava
AI-Driven Credit Card Fraud Detection with Enhanced User Interaction, Toshi Bhat
ActivePCA: A Novel Framework Integrating PCA and Active Machine Learning for Efficient Dimension Reduction, Priyanka Bhyregowda, Mohammad Masum, Lohuwa Mamudu, Mohammed Chowdhurv, Sai Chandra Kosaraiu, and Hossain Shahriar
Analysis and Application of Adaptive ML Algorithms for Malware Classification, Rashmi Boddukuri
Federated Multimedia Recommendation Systems with Privacy Protection, Shih Yu Chang, Hsiao Chun Wu, Kun Yan, Scott Chih Hao Huang, and Yiyan Wu
Enhancing Medical Chatbots with Image Diagnosis, Swatisri Chavali
Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using Sentinel-2 Remote Sensing Data, Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, Ali Mehran, Mohsen Jafari, and Amir Masoud Chegoonian
Artifacts in Low-Pass Whole Genome Sequencing, Nguyen Mai Anh Do
Fine-Tuning Optimization of Small Language Models: A Novel Graph-Theoretical Approach for Efficient Prompt Engineering, Venkata Gadiraju, Hao Yu Tsai, Hsiao Chun Wu, Manali Singha, C. H. Scott Huang, Guannan Liu, Shih Yu Chang, and Yiyan Wu
Fast Software-Based Real Time Panoramic Image Processing, Matthew Gerlits, Melody Moh, and Teng Sheng Moh
Distinguishing Chatbot from Human, Gauri Anil Godghase
Instagram Data Analysis Using Machine Learning, Lakshmi Prasanna Gorrepati
ML-Based User Identification Through Mouse Dynamics, Rakshit Gupta
SPIDARman: System-Level Physics-Informed Detection of Anomalies in Reactor Collected Data Considering Human Errors, Ezgi Gursel, Bhavya Reddy, Katy Daniels, Jamie Baalis Coble, Mahboubeh Madadi, Vivek Agarwal, Ronald Boring, Vaibhav Yadav, and Anahita Khojandi
Towards a Dynamic Data Driven Wildfire Digital Twin (WDT): Impacts on Deforestation, Air Quality and Cardiopulmonary Disease, M. Halem, A. K. Kochanski, J. Mandel, J. Sleeman, B. Demoz, A. Bargteil, S. Patil, S.Shivadekar, A. Iorga, J. Dorband, J. Mackinnon, S. Chiao, Z. Yang, Ya Yesha, J. Sorkin, E. Kalnay, S. Safa, and C. Da
MULTI-PLATFORM CYBERBULLYING DETECTION USING NLP AND MACHINE LEARNING, Chinmayi Lokeshwar Hegde
Ensemble Model with Meta-Learning for DDoS Attack Classification in SDN, Ankith Indrakumar
MULTIMODAL EMOTION DETECTION IN CONVERSATIONS AND DIALOGUES: A FUSION MODEL APPROACH, Abhinay Jatoth
Comparing Balancing Techniques for Malware Classification, Ranjit John
EMPLOYING LARGE LANGUAGE MODELS AND RETRIEVAL AUGMENTED GENERATION FOR ENHANCED PREDICTIVE FLEXIBILITY IN CANCER MORTALITY PREDICTION, Mridang Kejriwal
Machine Learning Based Sensor Selection for Modal Testing, Todd Kelmar and Maria Chierichetti
BIRDSONG CLASSIFICATION USING DEEP LEARNING AND MIXIT, Sasanka Kosuru
Creating valid adversarial examples of malware, Matouš Kozák, Martin Jureček, Mark Stamp, and Fabio Di Troia
Advanced DDoS Attack Classification using Ensemble Model with Meta-Learner, Ankith Indra Kumar and Genya Ishigaki
Satellite Handover Optimization Using Predicted Satellite-to-Base-Station Proximity, Pranathi Kunadi
Facial Expression Mood Classification Using Machine Learning, Tiantong Li
A Real-Time Anonymous Traffic Detection Based on Reinforcement Learning, Dazhou Liu and Younghee Park
Regional Sea Level Rise Prediction in Monterey Bay with LSTMs and Vertical Land Motion, Branden Lopez
A comparison of adversarial malware generators, Pavla Louthánová, Matouš Kozák, Martin Jureček, Mark Stamp, and Fabio Di Troia
An Empirical Analysis of Adversarial Attacks in Federated Learning, Rohit Mapakshi
Temporal Dynamics in Diabetes Prediction: A Sensor-Driven Time-Series Exploration, Monica Meduri
Formula 1 Commentary Generator using Generative Artificial Intelligence, Hiral Moliya
IS KNOWLEDGE MANAGEMENT (FINALLY) EXTRACTIVE? – FULLER’S ARGUMENT REVISITED IN THE AGE OF AI, Norman Mooradian
Enhancing Restaurant Sales Prediction: The Dynamic Forecasting Engine, Rahul Sanjay Morishetti
Explaining the Maliciousness of URLs using SHAP and LIME, Ayush Nair
The Study of Feature Engineering in Machine Learning and Deep Learning for Network Intrusion Detection Systems, Steven Ning, Khanh Nguyen, Sohini Bagchi, and Younghee Park
Optimization of Swim Pose Estimation and Recognition with Data Augmentation, Jonathan Ouyang, Derrick Trinh, and Chang Charles Choo
Impact of Data Heterogeneity on AI/ML Model Accuracy in Assisting Pneumonia Type Prediction, Manasvi Pinnaka, Krishnaveni Parvataneni, and Sohail Zaidi
Fine-Tuned Variational Quantum Classifiers for Cyber Attacks Detection Based on Parameterized Quantum Circuits and Optimizers, Md Abdur Rahman, Mst Shapna Akter, Emily Miller, Bogdan Timofti, Hossain Shahriar, Mohammad Masum, and Fan Wu
Domain Expert Bot, Amrutha Dondemadahalli Ramegowda
Uncertainty-Aware and Explainable Human Error Detection in the Operation of Nuclear Power Plants, Bhavya Reddy, Ezgi Gursel, Katy Daniels, Anahita Khojandi, Jamie Baalis Coble, Vivek Agarwal, Ronald Boring, Vaibhav Yadav, and Mahboubeh Madadi
Stuck-at Faults in ReRAM Neuromorphic Circuit Array and their Correction through Machine Learning, Vedant Sawal and Hiu Yung Wong
Intelligent Caching in Named Data Networking, Deep Pradipbhai Shah
Ensemble of Pruned Bagged Mixture Density Networks for Improved Water Quality Retrieval Using Sentinel-2 and Landsat-8 Remote Sensing Data, Alireza Taheri Dehkordi, Hossein Hashemi, Amir Naghibi, and Ali Mehran
AI Generated Text Detection & Source Identification, Anjana Priyatham Tatavarthi
An Advanced Malware Detection System Based on NLP to Generate Genetic Markers, Quang Duy Tran, Jaehyun Lim, and Fabio Di Troia
Advancing Discourse Analysis in Multiparty Meetings: Comprehensive Classification of Argument and Relation Types, Vishal Vaitla
Fake Malware Generation using GANs as API Calls, Saieswar Reddy Vaka
Exploring the Use and Misuse of Large Language Models (LLMs), Hezekiah Paul D. Valdez
E-SMOTE: Entropy Based Minority Oversampling for Heart Failure and AIDS Clinical Trails Analysis, Sainath Veerla, Anbu Valluvan Devadasan, Mohammad Masum, Mohammed Chowdhury, and Hossain Shahriar
REDQT: a method for automated mobile application GUI testing based on deep reinforcement learning algorithms, Fengyu Wang, Chuanqi Tao, and Jerry Gao
Breaking the Cycle: Countering Popularity Bias for Diverse Content Discovery, Brandon J. Weaver
Controlling Popularity Bias in Sequential Recommendation Models, Brandon Weaver, Melody Moh, and Teng Sheng Moh
Selective Partitioned Regression for Accurate Kidney Health Monitoring, Alex Whelan, Ragwa Elsayed, Alessandro Bellofiore, and David C. Anastasiu
