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
From Pong to Narrative: The Evolution of AI in Gaming, Muhammad Assaf
Influence of Pavement Conditions on Commercial Motor Vehicle Crashes, Stephen Arhin, Babin Manandhar, and Adam Gatiba
Deep Learning, Machine Learning, or Statistical Models for Weather-related Crash Severity Prediction, Abimbola Ogungbire, Panick Kalambay, Hardik Gajera, and Srinivas S. Pulugurtha
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
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
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
System-of-Systems Integration for Civil Infrastructures Resiliency Toward MultiHazard Events, Vahid Balali
Spectral analysis perspective of why misinformation containment is still an unsolved problem, Vishnu S. Pendyala and Foroozan Sadat Akhavan Tabatabaii
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
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
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
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
Enhancing Driver Distraction Detection Through the Synergy of Deep and Traditional Machine Learning, Gowtham Chandrasekaran
Gesture Recognition with Deep Learning, Chaz Chang
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
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
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
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
Prediction of 2024 Indian PM Election Results Using Sentiment Analysis on Twitter Data, Surabhi Gupta
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
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
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
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
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
Video Sign Language Recognition using Pose Extraction and Deep Learning Models, Shayla Luong
Malware Classification using Graph Neural Networks, Manasa Mananjaya
Leveraging Tweets for Rapid Disaster Response Using BERT-BiLSTM-CNN Model, Satya Pranavi Manthena
Influence maximization based on community detection and dominating sets, Ameya Marathe
Practical Battery Design and Control, Naoki Matsumura
A Natural Language Processing Approach to Malware Classification, Ritik Mehta
AI-Driven Management of Dynamic Multi-Tenant Cloud Networks, Nader F. Mir
On Measuring the Degree of Resource Isolation in Elastic Network Slicing, Nitin Datta Movva
Image-Based Malware Classification on Noise Extraction, Venkata Sai Sathwik Nadella
Application of Adversarial Attacks on Malware Detection Models, Vaishnavi Nagireddy
Determining the temporal factors of survival associated with brain and nervous system cancer patients: A hybrid machine learning methodology, Gopal Nath, Austin Coursey, Joseph Ekong, Elham Rastegari, Saptarshi Sengupta, Asli Z. Dag, and Dursun Delen
Cirrus Microphysical Properties and the Controlling Factors Using A Machine Learning Approach, Derek D. Ngo
Generative adversarial networks and image-based malware classification, Huy Nguyen, Fabio Di Troia, Genya Ishigaki, and Mark Stamp
Robust Cache System for Web Search Engine Yioop, Rushikesh Padia
Modeling Sequencing Artifacts in Artificial Low Frequency Cancer Data, Hannele Padre
Image-Based Malware Detection using Convolutional Neural Network Techniques, Brandon Palomino
NFT Artifact Prediction using Machine Learning, Rishabh Pandey
Misinformation Containment Using NLP and Machine Learning: Why the Problem Is Still Unsolved, Vishnu S. Pendyala
Analyzing and Addressing Data-driven Fairness Issues in Machine Learning Models used for Societal Problems, Vishnu S. Pendyala and Hyungkyun Kim
XAI-Driven CNN for Diabetic Retinopathy Detection, Vikas Shenoy Pete
Federated Learning for Protecting Medical Data Privacy, Abhishek Reddy Punreddy
Visual Scene Classification using Ensemble of Machine Learning Classifiers, Rahul Ranganath
