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 2023
Remaining useful life prediction of bearings with attention-awared graph convolutional network, Yupeng Wei and Dazhong Wu
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
Graph deep learning hashtag recommender for reels, Sriya Balineni and William B. Andreopoulos
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
Distress Signal Recognition Using Pose Estimation and Neural Networks, Palash Shankar Bhusari, Shreya Nagaraddy Hunur, Ravi Kumar Tanti, Saurabh Ramesh Warathe, and Magdalini Eirinaki
Classifying Real and Bot Users Based on their News Spread for Combating Misinformation, Thi Bui, Anson Pham, Warada Kulkarni, Yutong Yao, and Katerina Potika
Detecting Twitter Bots with Machine Learning and Propagation Graph Analysis, Thi Bui and Katerina Potika
Enhancing Driver Distraction Detection Through the Synergy of Deep and Traditional Machine Learning, Gowtham Chandrasekaran
Gesture Recognition with Deep Learning, Chaz Chang
An interactive web-based solar energy prediction system using machine learning techniques, Priyanka Chawla, Jerry Zeyu Gao, Teng Gao, Chengchen Luo, Huimin Li, and Yiqin We
Yelp Restaurant Popularity Score Calculator, Sneh Bindesh Chitalia
Editorial: The governance of artificial intelligence in the “autonomous city”, Federico Cugurullo, Sarah Barns, Vincent J. Del Casino, Natalie M. Gulsrud, Tan Yigitcanlar, and Xiaoling Zhang
WIKIPEDIA WEB TABLE INTERPRETATION, KEYWORD-BASED SEARCH, AND RANKING, Kartikee Dabir
Classifying World War II Era Ciphers with Machine Learning, Brooke Dalton
Archivist in the machine: paradata for AI-based automation in the archives, Jeremy Davet, Babak Hamidzadeh, and Patricia Franks
ML-Based User Authentication Through Mouse Dynamics, Sai Kiran Davuluri
Enhancing Facial Emotion Recognition Using Image Processing with CNN, Sourabh Deokar
Estimating Air Pollution Levels Using Machine Learning, Srujay Rao Devaraneni
Comparative Analysis of Transformer-Based Models for Text-To-Speech Normalization, Pankti Dholakia
Fintech adoption dynamics in a pandemic: An experience from some financial institutions in Nigeria during COVID-19 using machine learning approach, Onome Christopher Edo, Egbe Etu Etu, Imokhai Tenebe, Oluwarotimi Samuel Oladele, Solomon Edo, Oladapo Ayodeji Diekola, and Joshua Emakhu
Automatic TCAD Model Parameter Calibration using Autoencoder, Matthew Eng and Hiu Yung Wong
IMAGE CLASSIFICATION USING ENSEMBLE MODELING AND DEEP LEARNING, Kaneesha Gandhi
RideShare using Degrees of Separation: A Social Network-Based Approach, Gokul Garikipati
Real Time Panoramic Image Processing, Matthew Gerlits
INTEREST-BASED RECOMMENDATION SYSTEM USING GMAIL TOPIC MODELLING, Pranav Ghaskadbi
ENSEMBLE TRANSFORMER ARCHITECTURE FOR EFFICIENT AND REAL TIME SIGN LANGUAGE TRANSLATION, Sumeet Ghegade
Image Captioning using Reinforcement Learning, Venkat Teja Golamaru
Serverless Architecture for Machine Learning, Ikshaku Goswami
Location and Environment aware mmWave Beam Selection using Vision Transformer, Srajan Gupta
Efficient mmWave Beam Selection using ViTs and GVEC: GPS-based Virtual Environment Capture, Srajan Gupta, Navrati Saxena, Abhishek Roy, and Akshay Ravi
Prediction of 2024 Indian PM Election Results Using Sentiment Analysis on Twitter Data, Surabhi Gupta
Automatic Presentation Slide Generation Using LLMs, Tanya Gupta
SPIDAR: System-level Physics-Informed Detection of Anomalies in Reactors, Ezgi Gursel, Bhavya Reddy, Benjamin Smith, Shahrbanoo Rezaei, Katy Daniels, Jamie Baalis Coble, Mahboubeh Madadi, Vivek Agarwal, Ronald Boring, Vaidav Yadav, and Anahita Khojandi
Deep Learning in AI Medical Imaging for Stroke Diagnosis, James Mario Guzman
Emotions Recognition Using Multimodal Spontaneous Emotion Database and Deep Learning Technology, Shruthi Hassan Sathish
A Framework for Autonomous Vehicle Testing Using Semantic Models, Yejun He, Muslim Razi, Jerry Gao, and Chuanqi Tao
Counter-story in machine learning, Esperanza Huerta Espinosa
Container Caching Optimization based on Explainable Deep Reinforcement Learning, Divyashree Jayaram
The Bias Report: An Automated News Aggregator for Political Bias Classification and News Summarization, Anant Joshi
Malware Classification using Opcode N-grams and Word Embeddings, Siddhita Joshi
Personalized Tweet Recommendation Using Users’ Image Preferences, Shashwat Avinash Kadam
Convolutional Neural Networks for Fault Diagnosis and Condition Monitoring of Induction Motors, Fatemeh Davoudi Kakhki and Armin Moghadam
CONTEXT AWARE NEURAL MACHINE TRANSLATION USING GRAPH ENCODERS, Saurabh Kale
Job Tailored Resume Content Generation, Sumedh Kale
Job Tailored Resume Content Generation, Sumedh S. Kale and William B. Andreopoulos
Airport Assignment for Emergency Aircraft using Reinforcement Learning, Saketh Kamatham
NuanceNet: Comparative Analysis of AI in Complex Language Interpretation for Disaster Detection, Pavan Koushik Kommuri
Uncertainty-aware and Explainable Artificial Intelligence for Identification of Human Errors in Nuclear Power Plants, Bhavya Reddy Kotla
Explainable Artificial Intelligence for Identification of Human Errors in Nuclear Power Plants, Bhavya Reddy Kotla, Ezgi Gursel, Katy Daniels, Anahita Khojandi, Jamie Baalis Coble, Vivek Agarwal, Vaibhav Yadav, Ronald L. Boring, and Mahboubeh Madadi
Spam Comments Detection in YouTube Videos, Priyusha Kotta
Explainable AI for Android Malware Detection, Maithili Kulkarni
Twitter Bot Detection using NLP and Graph Classification, Warada Jayant Kulkarni
Dynamic Predictions of Thermal Heating and Cooling of Silicon Wafer, Hitesh Kumar
Characterizing Sequencing Artifacts, Kathy Thanh Lam
Analyzing Improvement of MASK R-CNN on ARMS plates (and Sponges and Coral), James Lee
Archeota Fall/Winter 2023, Amanda Leung, Benja Thompson, Katrina Williams, Amelia Smith, and Lawrence Lorraine Mullen
Enhancing Malware Detection Using 'Genetic Markers' and Machine Learning, Jaehyun Lim, Quang Duy Tran, and Fabio Di Troia
Siamese Neural Networks for Content-based Visual Art Recommendation, Ran Li, Melody Moh, and Teng Sheng Moh
Detecting the Onion Routing Traffic in Real-Time by using Reinforcement Learning, Dazhou Liu
Resource Coordination Learning for End-to-end Network Slicing Under Limited State Visibility, Xiang Liu
