Submissions from 2025
A multimodal framework for enhancing E-commerce information management using vision transformers and large language models, Anitha Balachandran and Mohammad Masum
Visiorag: A Multimodal Framework for Enhancing Recommendation System Using Vision Transformers and Rag, Anitha Balachandran and Mohammad Masum
UAV-Based Transport Management for Smart Cities Using Machine Learning, Sweekruthi Balivada, Jerry Gao, Yuting Sha, Manisha Lagisetty, and Damini Vichare
UAV-Based Transport Management for Smart Cities Using Machine Learning, Sweekruthi Balivada, Jerry Gao, Yuting Sha, Manisha Lagisetty, and Damini Vichare
LSE-Net: Integrated Segmentation and Ensemble Deep Learning for Enhanced Lung Disease Classification, Bhavan Kumar Basavaraju and Mohammad Masum
Message From the General Chairs, Antonia Bertolino, Hong Zhu, and Jerry Gao
Message From the General Chairs, Antonia Bertolino, Hong Zhu, and Jerry Gao
Fluid Antenna for Importance-based Ranking (FAIR) Semantic Communications, Shih Yu Chang and Hsiao Hwa Chen
Application of Gromov-Wasserstein Matching for Vehicular Social Network Security Profiling, Shih Yu Chang, Ji He, and Arumugam Nallanathan
Intelligent Semantic Extraction and Transformation Pipeline for Large-Scale Multimedia Data Processing, Shih Yu Chang, Sourab Rajendra Saklecha, and Yiyan Wu
Novel Distributed Multimedia Recommendation Systems Using Personalized Information, Shih Yu Chang, Hsiao Chun Wu, Kun Yan, Scott Chih Hao Huang, and Yiyan Wu
InvadeAI: INteractive ADvertising with Multimodal AI, Andrew Dunton, Riddhi Vyas, Harshal Shah, Soujanya Sankathala, and Mohammad Masum
Domain Specific Finetuning of LLMs Using PEFT Techniques, Deva Kumar Gajulamandyam, Sainath Veerla, Yasaman Emami, Kichang Lee, Yuanting Li, Jinthy Swetha Mamillapalli, and Simon Shim
AI Test Modeling for Computer Vision System—A Case Study, Jerry Gao and Radhika Agarwal
Message from the Program Chairs CAI 2025, Jerry Gao, Marco Aiello, and Massimo Mecella
Integration of UAV and Remote Sensing Data for Early Diagnosis and Severity Mapping of Diseases in Maize Crop Through Deep Learning and Reinforcement Learning, Jerry Gao, Krinal Gujarati, Meghana Hegde, Padmini Arra, Sejal Gupta, and Neeraja Buch
Advanced Computing: Preface, Deepak Garg, Vishnu Pendyala, Suneet Kumar Gupta, and Mohammad Najafzadeh
Lightweight Relevance Grader in RAG, Taehee Jeong
Large Language Models for Quantitative Analysis of Statutory Stringency and Its Correlation with Sexual Assault Crime Rates, Samhita Konduri and Vishnu S. Pendyala
Large Language Models for Quantitative Analysis of Statutory Stringency and Its Correlation with Sexual Assault Crime Rates, Samhita Konduri and Vishnu S. Pendyala
Evaluation of Intravenous Electrocardiography for Peripherally Inserted Central Catheter Placement: Use of Artificial Intelligence To Enhance Accuracy, Kichang Lee, Deva Kumar Gajulamandyam, Ki Tae Jung, Matthew C. Lee, Linda Kelly, A. Sassan Sabouri, Bonsung Koo, and Simon Shim
Evaluation of Intravenous Electrocardiography for Peripherally Inserted Central Catheter Placement: Use of Artificial Intelligence To Enhance Accuracy, Kichang Lee, Deva Kumar Gajulamandyam, Ki Tae Jung, Matthew C. Lee, Linda Kelly, A. Sassan Sabouri, Bonsung Koo, and Simon Shim
Novel Biological Prompting Technology: Automatic Directional Control by Eye-Tracking Sensor, Guannan Liu, Justin Wang, Hsiao Chun Wu, Gaojian Huang, Anil Kumar, Yiyan Wu, Shih Yu Chang, and Yue Luo
Novel Biological Prompting Technology: Automatic Directional Control by Eye-Tracking Sensor, Guannan Liu, Justin Wang, Hsiao Chun Wu, Gaojian Huang, Anil Kumar, Yiyan Wu, Shih Yu Chang, and Yue Luo
Novel Biological Prompting Technology: Automatic Directional Control by Eye-Tracking Sensor, Guannan Liu, Justin Wang, Hsiao Chun Wu, Gaojian Huang, Anil Kumar, Yiyan Wu, Shih Yu Chang, and Yue Luo
Smart Green Energy Management for Campus: An Integrated Machine Learning and Reinforcement Learning Model, Charan Teja Madabathula, Kunal Agrawal, Vijen Mehta, Swathi Kasarabada, Sai Srimai Kommamuri, Guannan Liu, and Jerry Gao
StarryStudioAI: Automating UI Design with Code-Based Generative AI and RAG, Bhavik Patel, Poojan Gagrani, Smeet Sheth, Kashish Thakur, Priya Varahan, and Simon Shim
The impact of Artificial Intelligence on Ecojustice and Ethics, Vishnu S. Pendyala
The impact of Artificial Intelligence on Ecojustice and Ethics, Vishnu S. Pendyala
Unraveling the Enigma of Classification of Synthetic and Genuine Information Using Machine Learning and Explainable AI, Vishnu S. Pendyala
Automated Research Review Support Using Machine Learning, Large Language Models, and Natural Language Processing, Vishnu S. Pendyala, Karnavee Kamdar, and Kapil Mulchandani
Performance and Interpretability Analysis of Code Generation Large Language Models, Vishnu S. Pendyala and Neha B. Thakur
Explainable Use of Foundation Models for Job Hiring, Vishnu S. Pendyala, Neha Bais Thakur, and Radhika Agarwal
The Effectiveness of Kolmogorov–Arnold Networks in the Healthcare Domain, Vishnu S. Pendyala and Nivedita Venkatachalam
The Effectiveness of Kolmogorov–Arnold Networks in the Healthcare Domain, Vishnu S. Pendyala and Nivedita Venkatachalam
Enhancing Clinical Named Entity Recognition via Fine-Tuned BERT and Dictionary-Infused Retrieval-Augmented Generation, Soumya Challaru Sreenivas, Saqib Chowdhury, and Mohammad Masum
BARTNet: Context-Aware Deep Learning Framework for BART Ridership Forecasting, Leela Sai Rahul Suryadevara, Nivegna Lagadapati, Venkata Sai Krishna Velamala, Yesheswini Lakshmi Spandana Potti, and Mohammad Masum
Algebraic Riccati Tensor Equations With Applications in Multilinear Control Systems, Yuchao Wang, Yimin Wei, Guofeng Zhang, and Shih Yu Chang
Covert Communication in RIS-based Integrated Sensing and Communication System, Huihui Wu, Dongqi Luo, Feifei Gao, Shih Yu Chang, Wei Su, and Xiaohong Jiang
TASE-Net: A Novel Robust Deep-Learning Network for Open-Set Few-Shot UAV Recognition, Xiao Yan, Bo Wang, Hsiao Chun Wu, Guannan Liu, Qian Wang, and Xinyue Qiao
Radio-Frequency-Based Unmanned-Aerial-Vehicle Identification Using Cyclic-Paw-Print, Xiao Yan, Minghui Zhao, Qian Wang, Hsiao Chun Wu, Guannan Liu, and Yiyan Wu
Submissions from 2024
Retrieval Augmented Generation (RAG) Based Restaurant Chatbot with AI Testability, Vani Bhat, Sree Divya Cheerla, Jinu Rose Mathew, Nupur Pathak, Guannan Liu, and Jerry Gao
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
Generalized Choi–Davis–Jensen’s Operator Inequalities and Their Applications, Shih Yu Chang and Yimin Wei
New efficient optimal FIR equalizer design, Shih Yu Chang and Hsiao Chun Wu
Random Tensor Analysis: Outlier Detection and Sample-Size Determination, Shih Yu Chang and Hsiao Chun Wu
Tensor-Based Least-Squares Solutions for Multirelational Signals and Applications, Shih Yu Chang and Hsiao Chun Wu
Tensor z -Transform, Shih Yu Chang and Hsiao Chun Wu
Tensor MIMO Perfect-Equalizer Design Using New Projection-Based Method and Approximation-Error Analysis, Shih Yu Chang, Hsiao Chun Wu, and Yi Chih Kao
Robust Multichannel Decorrelation via Tensor Einstein Product, Shih Yu Chang, Hsiao Chun Wu, and Guannan Liu
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
Federated Multimedia Recommendation Systems with Privacy Protection, Shih Yu Chang, Hsiao Chun Wu, Kun Yan, Scott Chih Hao Huang, and Yiyan Wu
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
Novel Graph-Theoretical Multiple Access-Point/Router Deployment Approach for Full Line-of-Sight Coverage over Arbitrary Indoor Polygonal/Prismatic Areas, Venkata Gadiraju, Hsiao Chun Wu, Hao Yu Tsai, Scott C.H. Huang, Costas Busch, Prasanga Neupane, Guannan Liu, and Shih Yu Chang
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
AI Test Modeling and Analysis for Intelligent Chatbot Mobile App - A Case Study on Wysa, Jerry Gao, Prerna Garsole, Radhika Agarwal, and Shengqiang Liu
Genie: Enhancing information management in the restaurant industry through AI-powered chatbot, Megha Gupta, Venkatasai Dheekonda, and Mohammad Masum
CMI: Cluster-Centric Missing Value Imputation with Feature Consistency, Megha Gupta, Shripal Shah, Mohammad Masum, and Sai Chandra Kosaraju
KritiSamhita: A machine learning dataset of South Indian classical music audio clips with tonic classification, Samhita Konduri, Kriti V. Pendyala, and Vishnu S. Pendyala
Comorbidities and their association with COVID-19 mortality in Mexico between January 2020 and August 2021, Ryan J. Lowhorn, Mohammed Chowdhury, Symon Kimitei, Sammie Haskin, Mohammad Masum, and A. K.M.Fazlur Rahman
Investigating Large-Scale RIS-Assisted Wireless Communications Using GNN, Shuai Lyu, Limei Peng, and Shih Yu Chang
Smart City Community Watch—Camera-Based Community Watch for Traffic and Illegal Dumping, Nupur Pathak, Gangotri Biswal, Megha Goushal, Vraj Mistry, Palak Shah, Fenglian Li, and Jerry Gao
Assessing the Reliability of Machine Learning Models Applied to the Mental Health Domain Using Explainable AI, Vishnu Pendyala and Hyungkyun Kim
Harnessing Artificial Intelligence for an Affordable Quality of Life, Vishnu S. Pendyala
How Bay Area cities can leverage the power of AI to build safer, more secure communities, Vishnu S. Pendyala
Why Scientific Publishing Culture Needs a Major Overhaul in the age of Generative AI, Vishnu S. Pendyala
Will AI be another unsustainable environmental disaster?, Vishnu S. Pendyala
Explaining Misinformation Detection Using Large Language Models, Vishnu S. Pendyala and Christopher E. Hall
Analysis of Multilanguage Regional Music Tracks Using Representation Learning Techniques in Lower Dimensions, Vishnu S. Pendyala, Samhita Konduri, and Kriti V. Pendyala
Multi-Link Prediction for mmWave Wireless Communication Systems Using Liquid Time-Constant Networks, Long Short- Term Memory, and Interpretation Using Symbolic Regression, Vishnu S. Pendyala and Milind Patil
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
Robust metabolic syndrome risk score based on triangular areal similarity, Hyunseok Shin, Simon Shim, and Sejong Oh
Novel Audio Mosaic Using LPC-Coefficient and Excitation-Codeword Permutations, Morris C.H. Tsai, Hsiao Chun Wu, Scott C.H. Huang, and Shih Yu Chang
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
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
Novel Subject-Dependent Human-Posture Recognition Approach Using Tensor Regression, Kun Yan, Guannan Liu, Rende Xie, Shih Hau Fang, Hsiao Chun Wu, Shih Yu Chang, and Li Ma
Submissions from 2023
Distributed IoT Community Detection via Gromov-Wasserstein Metric, Shih Yu Chang, Yi Chen, Yi Chih Kao, and Hsiao Hwa Chen
Multi-Relational Data Characterization by Tensors: Perturbation Analysis, Shih Yu Chang and Hsiao Chun Wu
Theoretical and Algorithmic Study of Inverses of Arbitrary High-Dimensional Multi-Input Multi-Output Linear-Time-Invariant Systems, Shih Yu Chang and Hsiao Chun Wu
Tensor Extended Kalman Filter and its Application to Traffic Prediction, Shih Yu Chang, Hsiao Chun Wu, and Yi Chih Kao
Tensor Levenberg-Marquardt Algorithm for Multi-Relational Traffic Prediction, Shih Yu Chang, Hsiao Chun Wu, Yen Cheng Kuan, and Yiyan Wu
Variable-Bit-Rate Video Frame-Size Prediction by the Extended Kalman Filter Using Levenberg-Marquardt Algorithm, Shih Yu Chang, Hsiao Chun Wu, and Kun Yan
Novel Personalized Multimedia Recommendation Systems Using Tensor Singular-Value-Decomposition, Shih Yu Chang, Hsiao Chun Wu, Kun Yan, Xinjia Chen, and Yiyan Wu
Automatic Modulation Classification of Frequency-Hopping Signals Using High-Dimensional Phase Diagrams, Qibo Chen, Kun Yan, Hsiao Chun Wu, Shih Yu Chang, Xiao Yan, Yiyan Wu, and Haonan Chang
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
IEEE Day Panel Discussion on Ethical AI: Shaping the Future Responsibly, Meenakshi Jindal, Chinmay Nerurkar, Katharina Koerner, Kumaravel Appavoo, and Vishnu S. Pendyala
Physics-informed Machine Learning Models for Go/No-go Criteria on Reactive Metamaterials, Seungjoon Lee, Kibaek Lee, Alberto Hernández, and D. Scott Stewart
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
Artificial intelligence can take the politics out of policymaking, Vishnu S. Pendyala
Misinformation Containment Using NLP and Machine Learning: Why the Problem Is Still Unsolved, Vishnu S. Pendyala
The Rapid Pace of Innovation Calls for a Drastic Revamp of the National Science Foundation, Vishnu S. Pendyala
Toward an AI-Driven Democracy. Newsweek, Apple News+, Microsoft Network, Qoshe, and others, Vishnu S. Pendyala
Want a 4-day workweek? Invest in AI, Vishnu S. Pendyala
Analyzing and Addressing Data-driven Fairness Issues in Machine Learning Models used for Societal Problems, Vishnu S. Pendyala and Hyungkyun Kim
Analyzing and Addressing Data-driven Fairness Issues in Machine Learning Models used for Societal Problems, Vishnu S. Pendyala and HyungKyun Kim
Spectral analysis perspective of why misinformation containment is still an unsolved problem, Vishnu S. Pendyala and Foroozan Sadat Akhavan Tabatabaii
Reconnoitering Generative Deep Learning Through Image Generation From Text, Vishnu S. Pendyala and VigneshKumar Thangarajan
On Collaborative Multi-UAV Trajectory Planning for Data Collection, Shahnila Rahim, Limei Peng, Shihyu Chang, and Pin Han Ho
Intelligent Computing and Communication | Proceedings of 6th ICICC 2022, M. Seetha, Sateesh K. Peddoju, Vishnu Pendyala, and Vedula V. S. S. S. Chakravarthy
Predictive Auto-scaler for Kubernetes Cloud, Simon Shim, Ankit Dhokariya, Devangi Doshi, Sarvesh Upadhye, Varun Patwari, and Ji Yong Park
