Multi-modal prediction of breast cancer using particle swarm optimization with non-dominating sorting. - Vijayalakshmi S; John A 001; Sunder R; Senthilkumar Mohan; Sweta Bhattacharya; Rajesh Kaluri; Guang Feng; Usman Tariq (Int. J. Distributed Sens. Networks, 2020)

Suspicious activity detection using deep learning in secure assisted living IoT environments. - G. Vallathan; A. John 001; Chandrasegar Thirumalai; Senthilkumar Mohan; Gautam Srivastava 001; Jerry Chun-Wei Lin (J. Supercomput., 2021)

Maritime UAV Patrol Tasks Based on YOLOv4 Object Detection. - Yi-Yu Chang; John Ayeelyan; Pao-Ann Hsiung (CSCI, 2022)

A Smart and Private Blockchain-enabled Framework for Digital Assets. - Wei-Shan Lee; John A 001; Hsiu-Chun Hsu; Pao-Ann Hsiung (ICBTA, 2022)

Federated Trustworthy AI Architecture for Smart Cities. - Sapdo Utomo; A. John 001; Adarsh Rouniyar; Hsiu-Chun Hsu; Pao-Ann Hsiung (ISC2, 2022)

SPChain: A Smart and Private Blockchain-Enabled Framework for Combining GDPR-Compliant Digital Assets Management With AI Models. - Wei-Shan Lee; John A 001; Hsiu-Chun Hsu; Pao-Ann Hsiung (IEEE Access, 2022)

A Synergic Approach of Deep Learning towards Digital Additive Manufacturing: A Review. - Ayush Pratap; Neha Sardana; Sapdo Utomo; John Ayeelyan; P. Karthikeyan 004; Pao-Ann Hsiung (Algorithms, 2022)

DOA tracking for seamless connectivity in beamformed IoT-based drones. - N. M. Balamurugan; Senthilkumar Mohan; M. Adimoolam; A. John 001; G. Thippa Reddy; Weizheng Wang 001 (Comput. Stand. Interfaces, 2022)

A hybrid learning approach for the stage-wise classification and prediction of COVID-19 X-ray images. - M. Adimoolam; Karthi Govindharaju; John A 001; Senthilkumar Mohan; Ali Ahmadian; Tiziana Ciano (Expert Syst. J. Knowl. Eng., 2022)

A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems. - M. Adimoolam; Senthilkumar Mohan; John A 001; Gautam Srivastava 001 (Int. J. Interact. Multim. Artif. Intell., 2022)

An approach to forecast impact of Covid-19 using supervised machine learning model. - Senthilkumar Mohan; John A 001; Ahed Abugabah; M. Adimoolam; Shubham Kumar Singh; Ali Kashif Bashir; Louis Sanzogni (Softw. Pract. Exp., 2022)

Analysis of Defect Associated with Powder Bed Fusion with Deep Learning and Explainable AI. - Ayush Pratap; Neha Sardana; Sapdo Utomo; A. John 001; P. Karthikeyan 004; Pao-Ann Hsiung (KST, 2023)

AIX Implementation in Image-Based PM2.5 Estimation: Toward an AI Model for Better Understanding. - Sapdo Utomo; A. John 001; Ayush Pratap; Zhi-Sheng Jiang; P. Karthikeyan 004; Pao-Ann Hsiung (KST, 2023)

Federated learning design and functional models: survey. - John Ayeelyan; Sapdo Utomo; Adarsh Rouniyar; Hsiu-Chun Hsu; Pao-Ann Hsiung (Artif. Intell. Rev., 2025)

When explainable artificial intelligence meets data governance: Enhancing trustworthiness in multimodal gas classification. - Sapdo Utomo; Ayush Pratap; Periyasami Karthikeyan; John Ayeelyan; Hsiu-Chun Hsu; Pao-Ann Hsiung (Inf. Fusion, 2026)