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
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
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
State of health and remaining useful life prediction of lithium-ion batteries with conditional graph convolutional network, Yupeng Wei and Dazhong Wu
Machine learning applications in forensic DNA profiling: A critical review, Mark Barash, Dennis McNevin, Vladimir Fedorenko, and Pavel Giverts
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
Analysis and Application of Adaptive ML Algorithms for Malware Classification, Rashmi Boddukuri
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
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
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
Ensemble Model with Meta-Learning for DDoS Attack Classification in SDN, Ankith Indrakumar
Comparing Balancing Techniques for Malware Classification, Ranjit John
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
Satellite Handover Optimization Using Predicted Satellite-to-Base-Station Proximity, Pranathi Kunadi
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
Formula 1 Commentary Generator using Generative Artificial Intelligence, Hiral Moliya
Enhancing Restaurant Sales Prediction: The Dynamic Forecasting Engine, Rahul Sanjay Morishetti
Explaining the Maliciousness of URLs using SHAP and LIME, Ayush Nair
Domain Expert Bot, Amrutha Dondemadahalli Ramegowda
An Advanced Malware Detection System Based on NLP to Generate Genetic Markers, Quang Duy Tran, Jaehyun Lim, and Fabio Di Troia
Fake Malware Generation using GANs as API Calls, Saieswar Reddy Vaka
Sheet resistance prediction of laser induced graphitic carbon with transformer encoder-enabled contrastive learning, Yupeng Wei, Gerd Grau, and Dazhong Wu
Selective Partitioned Regression for Accurate Kidney Health Monitoring, Alex Whelan, Ragwa Elsayed, Alessandro Bellofiore, and David C. Anastasiu
Intelligent Caching using Continuous Machine Learning in Named Data Networking, Sai Sameer Yanamandra
Emotion Detection Using Ensemble Learning, Priya Harika Yerapothu
NOVEL APPROACH TO MUSIC ANALYSIS USING APACHE SPARK, Nidhi Zare
Submissions from 2023
From Pong to Narrative: The Evolution of AI in Gaming, Muhammad Assaf
Transformative AI: Responsible, Transparent, and Trustworthy AI Systems, Ahmed Banafa
Influence of Pavement Conditions on Commercial Motor Vehicle Crashes, Stephen Arhin, Babin Manandhar, and Adam Gatiba
Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework, Yan Chu, Kaichen Tang, Yu Chun Hsu, Tongtong Huang, Dulin Wang, Wentao Li, Sean I. Savitz, Xiaoqian Jiang, and Shayan Shams
A hybrid machine learning and natural language processing model for early detection of acute coronary syndrome, Joshua Emakhu, Egbe Etu Etu, Leslie Monplaisir, Celestine Aguwa, Suzan Arslanturk, Sara Masoud, Imokhai Theophilus Tenebe, Hashem Nassereddine, Mohamed Hamam, and Joseph Miller
Deep Learning, Machine Learning, or Statistical Models for Weather-related Crash Severity Prediction, Abimbola Ogungbire, Panick Kalambay, Hardik Gajera, and Srinivas S. Pulugurtha
Building Socially Intelligent AI Systems: Evidence from the Trust Game Using Artificial Agents with Deep Learning, Jason Xianghua Wu, Yan Wu, Kay Yut Chen, and Lei Hua
Predicting multiple sclerosis severity with multimodal deep neural networks, Kai Zhang, John A. Lincoln, Xiaoqian Jiang, Elmer V. Bernstam, and Shayan Shams
Positioning Paradata: A Conceptual Frame for AI Processual Documentation in Archives and Recordkeeping Contexts, Scott Cameron, Pat Franks, and Babak Hamidzadeh
Examining the Externalities of Highway Capacity Expansions in California: An Analysis of Land Use and Land Cover (LULC) Using Remote Sensing Technology, Serena E. Alexander, Bo Yang, Owen Hussey, and Derek Hicks
Prospection of Peptide Inhibitors of Thrombin from Diverse Origins Using a Machine Learning Pipeline, Nivedha Balakrishnan, Rahul Katkar, Peter V. Pham, Taylor Downey, Prarthna Kashyap, David C. Anastasiu, and Anand K. Ramasubramanian
AI-Based Bridge and Road Inspection Framework Using Drones, Hovannes Kulhandjian
An interactive web-based tool for predicting and exploring brain cancer survivability, Gopal Nath, Austin Coursey, Yang Li, Srikanth Prabhu, Harish Garg, Shaymal C. Halder, and Saptarshi Sengupta
AI for Social Good: An Interdisciplinary Undergraduate AI Education Project, Yu Chen
Search Systems and Artificial Intelligence: Enhancing Searching as Learning Approaches to Counter Misinformation, Souvick Ghosh, Jacek Gwizdka, Dirk Lewandowski, Rebecca Reynolds, Soo Young Rieh, Tamara Heck, and Aylin Imeri
Climate warming increases extreme daily wildfire growth risk in California, Patrick T. Brown, Holt Hanley, Ankur Mahesh, Colorado Reed, Scott J. Strenfel, Steven J. Davis, Adam K. Kochanski, and Craig B. Clements
Physics-informed Machine Learning Models for Go/No-go Criteria on Reactive Metamaterials, Seungjoon Lee, Kibaek Lee, Alberto Hernández, and D. Scott Stewart
Working In Information Ethics With Dr. Norman Mooradian, Norman Mooradian
Intelligent Computing and Communication | Proceedings of 6th ICICC 2022, M. Seetha, Sateesh K. Peddoju, Vishnu Pendyala, and Vedula V. S. S. S. Chakravarthy
Data-Driven Soil Analysis and Evaluation for Smart Farming Using Machine Learning Approaches, Yixin Huang, Rishi Srivastava, Chloe Ngo, Jerry Gao, Jane Wu, and Sen Chiao
aBnormal motION capture In aCute Stroke (BIONICS): A Low-Cost Tele-Evaluation Tool for Automated Assessment of Upper Extremity Function in Stroke Patients, Syed A. Zamin, Kaichen Tang, Emily A. Stevens, Melissa Howard, Dorothea M. Parker, Allyson Seals, Xiaoqian Jiang, Sean Savitz, and Shayan Shams
Sensitivity of Pyrocumulus Convection to Tree Mortality During the 2020 Creek Fire in California, Jungmin M. Lee, Jeffrey D. Mirocha, Neil P. Lareau, Taylor Whitney, Wing To, Adam Kochanski, and William Lassman
Toward impact-based monitoring of drought and its cascading hazards, Amir AghaKouchak, Laurie S. Huning, Mojtaba Sadegh, Yue Qin, Yannis Markonis, Farshid Vahedifard, Charlotte A. Love, Ashok Mishra, Ali Mehran, Renee Obringer, Annika Hjelmstad, Shrideep Pallickara, Shakil Jiwa, Martin Hanel, Yunxia Zhao, Angeline G. Pendergrass, Mazdak Arabi, Steven J. Davis, and Philip J. Ward
System-of-Systems Integration for Civil Infrastructures Resiliency Toward MultiHazard Events, Vahid Balali
A Review for Green Energy Machine Learning and AI Services, Yukta Mehta, Rui Xu, Benjamin Lim, Jane Wu, and Jerry Gao
A Data-Light and Trajectory-Based Machine Learning Approach for the Online Prediction of Flight Time of Arrival, Zhe Zheng, Bo Zou, Wenbin Wei, and Wen Tian
Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data, Seungjoon Lee, Yorgos M. Psarellis, Constantinos I. Siettos, and Ioannis G. Kevrekidis
Spectral analysis perspective of why misinformation containment is still an unsolved problem, Vishnu S. Pendyala and Foroozan Sadat Akhavan Tabatabaii
MOVEMENT OF PEOPLE ACROSS BORDERS: TRANSDISCIPLINARY RESEARCH TO MEET THE CHALLENGES IN MIGRATION, BUSINESS, AND SOCIETY, Aida Hajro, Milda Žilinskaite, Cristina B. Gibson, Paul Baldassari, Wolfgang Mayrhofer, Chris Brewster, and Mary Yoko Brannen
Machine learning-based predictive model for prevention of metabolic syndrome, Hyunseok Shin, Simon Shim, and Sejong Oh
Machine Learning-Driven Multiscale Modeling: Bridging the Scales with a Next-Generation Simulation Infrastructure, Helgi I. Ingólfsson; Harsh Bhatia; Fikret Aydin; Tomas Oppelstrup; Cesar A. López; Liam G. Stanton; Timothy S. Carpenter; Sergio Wong; Francesco Di Natale; Xiaohua Zhang; Joseph Y. Moon; Christopher B. Stanley; Joseph R. Chavez; Kien Nguyen; Gautham Dharuman; Violetta Burns; Rebika Shrestha; Debanjan Goswami; and For full author list, see comments below
A Framework for Trustworthy AI in Credit Risk Management: Perspectives and Practices, Sourav Mazumder, Subhankar Dhar, and Avinash Asthana
Effectiveness variation of different census outreach activities: An empirical analysis from the state of Illinois using machine learning and user interface technologies for participatory data collection, Anton Rozhkov, Ahoura Zandiatashbar, Dean Massey, Jaeyong Shin, Janet Smith, and Moira Zellner
Entropy regularized reinforcement learning using large deviation theory, Argenis Arriojas, Jacob Adamczyk, Stas Tiomkin, and Rahul V. Kulkarni
Darknet traffic classification and adversarial attacks using machine learning, Nhien Rust-Nguyen, Shruti Sharma, and Mark Stamp
Introduction to Internet of Things (IoT), Ahmed Banafa
Malware classification with Word2Vec, HMM2Vec, BERT, and ELMo, Aparna Sunil Kale, Vinay Pandya, Fabio Di Troia, and Mark Stamp
Attention-Based Data Analytic Models for Traffic Flow Predictions, Kaushal Kumar and Yupeng Wei
Biological research and self-driving labs in deep space supported by artificial intelligence, Lauren M. Sanders; Ryan T. Scott; Jason H. Yang; Amina Ann Qutub; Hector Garcia Martin; Daniel C. Berrios; Jaden J.A. Hastings; Jon Rask; Graham Mackintosh; Adrienne L. Hoarfrost; Stuart Chalk; John Kalantari; Kia Khezeli; Erik L. Antonsen; Joel Babdor; Richard Barker; Sergio E. Baranzini; Philip Heller; and For full author list, see comments below
Biomonitoring and precision health in deep space supported by artificial intelligence, Ryan T. Scott; Lauren M. Sanders; Erik L. Antonsen; Jaden J.A. Hastings; Seung min Park; Graham Mackintosh; Robert J. Reynolds; Adrienne L. Hoarfrost; Aenor Sawyer; Casey S. Greene; Benjamin S. Glicksberg; Corey A. Theriot; Daniel C. Berrios; Jack Miller; Joel Babdor; Richard Barker; Sergio E. Baranzini; Philip Heller; and For full author list, see comments below
Exploring facilitators, barriers and concerns of police using social media when investigating missing children, Eleanor Howlings and Reka Solymosi
Artificial Intelligence (AI) Student Assistants in the Classroom: Designing Chatbots to Support Student Success, Yu Chen, Scott Jensen, Leslie J. Albert, Sambhav Gupta, and Terri Lee
Using artificial intelligence to detect human errors in nuclear power plants: A case in operation and maintenance, Ezgi Gursel, Bhavya Reddy, Anahita Khojandi, Mahboubeh Madadi, Jamie Baalis Coble, Vivek Agarwal, Vaibhav Yadav, and Ronald L. Boring
Analyzing and Addressing Data-driven Fairness Issues in Machine Learning Models used for Societal Problems, Vishnu S. Pendyala and HyungKyun Kim
Wildfire Progression Prediction and Validation Using Satellite Data and Remote Sensing in Sonoma, California, Daisy Adhikari, Wan Chen, Yunao Guo, Lilin Huang, and Jerry Gao
Malware Classification using API Call Information and Word Embeddings, Sahil Aggarwal
CodEval, Aditi Agrawal
BASE STATION LOAD PREDICTION IN 5G-V2X HANDOVER, Madhujita Ranjit Ambaskar
ACOUSTIC CLOAK DESIGN VIA GRADIENT-BASED OPTIMIZATION, Angel Avina, Samer Gerges, Feruza A. Amirkulova, and Winncy Du
Prediction of Thrombin Inhibitor Peptides from Various Habitats Using Machine Learning, Nivedha Balakrishnan
Graph Deep Learning Based Hashtag Recommender for Reels on Social Media, Sriya Balineni
Hate Speech Detection in Hindi, Pranjali Prakash Bansod
Bias Detector Tool for Face Datasets using Image Recognition, Jatin Vamshi Battu
Enhancing Deep Learning Classifiers for Dynamic Keystroke Authentication via GANs, Jonathan A. Bazan
Visualizing classification errors and mislabeling in machine learning, Vedashree Bhandare
