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 @ SJSUMaster's Projects from 2024
Enhancing Medical Chatbots with Image Diagnosis, Swatisri Chavali
Optimizing Web Design Code Generation: A Comparative Study of Finetuning, Pretrained Models, and RAG (Retrieval Augmented Generation), Srinivas Rao Chavan
Biomedical Relation Extraction Using LLMs and Knowledge Graphs, Pranav Chellagurki, Sai Prasanna Kumar Kumaru, Rahul Raghava Peela, Neeharika Yeluri, Carlos Rojas, and Jorjeta Jetcheva
Skin Cancer Detection using Reinforcement Learning, Vikas Chercadu
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
Defect Detection and Closed-loop Feedback Using Machine Learning for Fused Filament Fabrication, Amaris De La Rosa, Amir Armani, and Marcia Golmohamadi
HINDI IMAGE CAPTIONING USING INDICTRANS2 AND ENCODER-DECODER ARCHITECTURE, Anahita Vayalombrone Dinesh
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
Wall-E: An Autonomous AI Rover for Precision Agriculture, Simar Ghumman
Distinguishing Chatbot from Human, Gauri Anil Godghase
The Applicability of LLMs in Generating Textual Samples for Analysis of Imbalanced Datasets, Saroj Gopali, Faranak Abri, Akbar Siami Namin, and Keith S. Jones
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
INTEGRATING CHATGPT WITH A-FRAME FOR USER-DRIVEN 3D MODELING, Ivan Hernandez
Ensemble Model with Meta-Learning for DDoS Attack Classification in SDN, Ankith Indrakumar
Multirelational Twitter Bot Detection using Graph Neural Networks, Ketan Jadhav
Personalizing Image Generation from Prompts Using Generative AI, Mit Ramesh Jain
A Rule-Based Hybrid Translation Model for Context-Aware Speech to Indian Sign Language Tasks, Dania Jaison
MULTIMODAL EMOTION DETECTION IN CONVERSATIONS AND DIALOGUES: A FUSION MODEL APPROACH, Abhinay Jatoth
Comparing Balancing Techniques for Malware Classification, Ranjit John
Leveraging Large Language Models for Transforming Student Information into Actionable Data, Sree Hari Karri
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
Learning to Play the Trading Game: Exploring Reinforcement Learning-Based Stock Trading Bots, Neeraj Kulkarni, Petros Potikas, and Katerina Potika
Advanced DDoS Attack Classification using Ensemble Model with Meta-Learner, Ankith Indra Kumar and Genya Ishigaki
EXPLORING GENDER BIAS IN LARGE LANGUAGE MODELS: CROSS-LINGUISTIC COMPARISONS AND EVALUATION LETTERS ANALYSIS, Athira Kumar
Satellite Handover Optimization Using Predicted Satellite-to-Base-Station Proximity, Pranathi Kunadi
Opinion Graphs Construction for Reviews using Transfer Learning and Large Language Models, Yichen Lin
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
Rapid Simulation Framework for Superconducting Qubit Readout System Inverse Design and Optimization, Albert Lu and Hiu Yung Wong
Navigating Enterprise Constraints: Building a Hybrid Multi-Modal Mobile Intelligent App, Ketan Malempati, Akshat Gupta, and Kaikai Liu
An Empirical Analysis of Adversarial Attacks in Federated Learning, Rohit Mapakshi
Temporal Dynamics in Diabetes Prediction: A Sensor-Driven Time-Series Exploration, Monica Meduri
DEEP-LEARNING APPROACHES TO PREDICT REMAINING USEFUL LIFE OF HARD DISKS, Rohan Mohapatra
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
Knowledge Graph-based Multiple-Choice Question Generation, Durga Muralidharan
SDEBuddy - Code Documentation using Large Language Models, Nischay Nagendra
Explaining the Maliciousness of URLs using SHAP and LIME, Ayush Nair
Fine-tuning Large Language Models for Folder Structure Generation, Likhith Nemani
TCAD Structure Input File Generation Using Large Language Model, Le Minh Long Nguyen, Albert Lu, and Hiu Yung Wong
Deception Detection Models from Speech, Tien Nguyen
Deception and Lie Detection Using Reduced Linguistic Features, Deep Models and Large Language Models for Transcribed Data, Tien Nguyen, Faranak Abri, Akbar Siami Namin, and Keith S. Jones
Resume Content Generation Using Llama 2 With Adapters, Navaneeth Sai Nidadavolu
Enhancing Product Designing with the Help of Artificial Intelligence, Dhyeykumar Nikalwala and Minnie H. Patel
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
Advancing Phishing Protection: Employing Sophisticated Methods for Precise URL Evaluation, Abbhinav Reddie NomuIIa
The Accuracy of Domain Specific and Descriptive Analysis Generated by Large Language Models, Denish Omondi Otieno, Faranak Abri, Sima Siami-Namini, and Akbar Siami Namin
Optimization of Swim Pose Estimation and Recognition with Data Augmentation, Jonathan Ouyang, Derrick Trinh, and Chang Charles Choo
Community Detection using Deep Learning: Variational Graph Autoencoder enhanced with Leiden and K-Truss techniques, Jyotika Hariom Patil
Impact of Data Heterogeneity on AI/ML Model Accuracy in Assisting Pneumonia Type Prediction, Manasvi Pinnaka, Krishnaveni Parvataneni, and Sohail Zaidi
Integrating Machine Learning Techniques to Improve Pneumonia Diagnostics by Analyzing Chest X-ray Scans, Manasvi Pinnaka and Sohail Zaidi
Integrating Advanced IBM Cloud-Based AI/Machine Learning Platform to Develop Predictive Models for Medical Applications, Manasvi Pinnaka, Sohail Zaidi, and Vimal Viswanathan
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
Multimodal Retrieval-Augmented Generation: Design and Application, Charul Rathore
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
Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems, Suruchi Sharma, Volodymyr Makarenko, Gautam Kumar, and Stas Tiomkin
STEM Approach to Enhance Robot-Human Interaction Through AI Large Language Models and Reinforcement Learning, Siddhartha Shibi and Sohail Zaidi
Computer Vision Intelligence Test Modeling and Generation: A Case Study on Smart OCR, Jing Shu, Bing Jiun Miu, Eugene Chang, Jerry Gao, and Jun Liu
COMPARITIVE ANALYSIS OF TIME SERIES FORECASTING USING FREQUENCY INFORMED DENSE NEURAL NETWORKS AND LSTM, Avinash Mangalore Suresh
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
Leveraging remote sensing data and machine learning models to estimate suspended sediment concentration (SSC), a vital water quality parameter to assess soil erosion effects, Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, Mohsen Jafari, Hani Ghasemi, and Ali Mehran
AI Generated Text Detection & Source Identification, Anjana Priyatham Tatavarthi
Impact of AI in Product Lifecycle, Atmesh Tiwari and Minnie H. Patel
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
Assessing Policy Effectiveness Using AI and Language Models: Applications for Economic and Social Sustainability, Chandrasekar Vuppalapati
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
Conditional variational transformer for bearing remaining useful life prediction, Yupeng Wei and Dazhong Wu
Selective Partitioned Regression for Accurate Kidney Health Monitoring, Alex Whelan, Ragwa Elsayed, Alessandro Bellofiore, and David C. Anastasiu
Digital Twin Based Satellite Orbit Prediction for Internet of Things (IoT) Systems, Xinchen Xu, Hong Wen, Yongfeng Wang, Huanhuan Song, Tian Liu, and Shih Yu Chang
Intelligent Caching using Continuous Machine Learning in Named Data Networking, Sai Sameer Yanamandra
Multi-Label Text Classification with Transfer Learning, Likhitha Yelamanchili, Ching Seh Mike Wu, Chris Pollett, and Robert Chun
Emotion Detection Using Ensemble Learning, Priya Harika Yerapothu
ENHANCED INTER-SATELLITE ROUTING WITH MULTI-PATH SELECTION AND CONGESTION MODELING, Jaesung Yoo
Emulating Human Personality with Large Language Models through Contextual Prompts and Fine-tuning, Mrunal Zambre
NOVEL APPROACH TO MUSIC ANALYSIS USING APACHE SPARK, Nidhi Zare
Characterizing Nanopore Sequencing Artifacts with Deep Learning, David Zhou
Enhancing Supply Chain Efficiency Through Retrieve-Augmented Generation Approach in Large Language Models, Beilei Zhu and Chandrasekar Vuppalapati
Data-Driven End-to-End Lighting Automation Based on Human Residential Trajectory Analysis, Jack Zhu, Jingwen Tan, and Wencen Wu
Submissions from 2023
Artificial intelligence can take the politics out of policymaking, Vishnu S. Pendyala
