Enhancing Automated Decision Support across Medical and Oral Health Domains with Semantic Web Technologies. - Tejal Shah; Fethi Rabhi; Pradeep Ray; Kerry Taylor (ACIS, 2013)

OSHCO: A Cross-domain Ontology for semantic interoperability across medical and oral health domains. - Tejal Shah; Fethi A. Rabhi; Pradeep Kumar Ray (Healthcom, 2013)

A Guiding Framework for Ontology Reuse in the Biomedical Domain. - Tejal Shah; Fethi A. Rabhi; Pradeep Ray; Kerry Taylor (HICSS, 2014)

Orchestrating Quality of Service in the Cloud of Things Ecosystem. - Prem Prakash Jayaraman; Karan Mitra; Saguna Saguna; Tejal Shah; Dimitrios Georgakopoulos 001; Rajiv Ranjan 001 (iNIS, 2015)

Investigating an ontology-based approach for Big Data analysis of inter-dependent medical and oral health conditions. - Tejal Shah; Fethi A. Rabhi; Pradeep Kumar Ray (Clust. Comput., 2015)

Remote health care cyber-physical system: quality of service (QoS) challenges and opportunities. - Tejal Shah; Ali Yavari; Karan Mitra; Saguna Saguna; Prem Prakash Jayaraman; Fethi A. Rabhi; Rajiv Ranjan 001 (IET Cyper-Phys. Syst.: Theory & Appl., 2016)

Designing and conceptualising ontology patterns for modelling cross-domain health information. - Tejal Shah (2016)

Associative retrieval in spatial big data based on spreading activation with semantic ontology. - Shengtao Sun; Weijing Song; Albert Y. Zomaya; Yang Xiang 001; Kim-Kwang Raymond Choo; Tejal Shah; Lizhe Wang 001 (Future Gener. Comput. Syst., 2017)

Visual Analytics Ontology-Guided I-DE System: A Case Study of Head and Neck Cancer in Australia. - Ahsan Morshed; Abdur Rahim Mohammad Forkan; Tejal Shah; Prem Prakash Jayaraman; Rajiv Ranjan 001; Dimitrios Georgakopoulos 001 (CIC, 2018)

Towards Brain Big Data Classification: Epileptic EEG Identification With a Lightweight VGGNet on Global MIC. - Hengjin Ke; Dan Chen 001; Xiaoli Li 002; Yunbo Tang; Tejal Shah; Rajiv Ranjan 001 (IEEE Access, 2018)

Realizing Edge Marketplaces: Challenges and Opportunities. - Blesson Varghese; Massimo Villari; Omer F. Rana; Philip James 002; Tejal Shah; Maria Fazio; Rajiv Ranjan 001 (IEEE Cloud Comput., 2018)

A parallel online trajectory compression approach for supporting big data workflow. - Wei Han 006; Ze Deng; Junde Chu; Jing Zhu; Peng Gao; Tejal Shah (Computing, 2018)

Cloud computing based bushfire prediction for cyber-physical emergency applications. - Saurabh Kumar Garg 001; Jagannath Aryal; Hao Wang; Tejal Shah; Gabor Kecskemeti; Rajiv Ranjan 001 (Future Gener. Comput. Syst., 2018)

Context-Based Knowledge Discovery and Querying for Social Media Data. - Jedsada Phengsuwan; Nipun Balan Thekkummal; Tejal Shah; Philip James 002; Dhavalkumar Thakker; Rui Sun; Divya Pullarkatt; Hemalatha Thirugnanam; Maneesha Vinodini Ramesh; Rajiv Ranjan 001 (IRI, 2019)

Active Hazard Observation via Human in the Loop Social Media Analytics System. - Zhenyu Wen; Jedsada Phengsuwan; Nipun Balan Thekkummal; Rui Sun; Pooja jamathi-Chidananda; Tejal Shah; Philip James 002; Rajiv Ranjan 001 (CIKM, 2020)

Ontology-based discovery of time-series data sources for landslide early warning system. - Jedsada Phengsuwan; Tejal Shah; Philip James 002; Dhavalkumar Thakker; Stuart L. Barr; Rajiv Ranjan 001 (Computing, 2020)

Semantic Web of Things for Industry 4.0. - Dhavalkumar Thakker; Pankesh Patel; Muhammad Intizar Ali; Tejal Shah (Semantic Web, 2020)

Cloud-aided online EEG classification system for brain healthcare: A case study of depression evaluation with a lightweight CNN. - Hengjin Ke; Dan Chen 001; Tejal Shah; Xianzeng Liu; Xinhua Zhang; Lei Zhang; Xiaoli Li 002 (Softw. Pract. Exp., 2020)

Use of Social Media Data in Disaster Management: A Survey. - Jedsada Phengsuwan; Tejal Shah; Nipun Balan Thekkummal; Zhenyu Wen; Rui Sun; Divya Pullarkatt; Hemalatha Thirugnanam; Maneesha Vinodini Ramesh; Graham Morgan; Philip James 002; Rajiv Ranjan 001 (Future Internet, 2021)

An ontology-based system for discovering landslide-induced emergencies in electrical grid. - Jedsada Phengsuwan; Tejal Shah; Rui Sun; Philip James 002; Dhavalkumar Thakker; Rajiv Ranjan 001 (Trans. Emerg. Telecommun. Technol., 2022)

FedMSA: A Model Selection and Adaptation System for Federated Learning. - Rui Sun; Yinhao Li; Tejal Shah; Ringo W. H. Sham; Tomasz Szydlo; Bin Qian 002; Dhaval Thakker; Rajiv Ranjan 001 (Sensors, 2022)

Learning partial correlation graph for multivariant sensor data and detecting sensor communities in smart buildings. - Xiang Xie; Manuel Herrera; Tejal Shah; Mohamad Kassem; Philip James 002 (LDAC, 2023)

Tiny-Impute: A Framework for On-device Data Quality Validation, Hybrid Anomaly Detection, and Data Imputation at the Edge. - Shamil Al-Ameen; Bharath Sudharsan; Tomasz Szydlo; Roua Al-Taie; Tejal Shah; Rajiv Ranjan 001 (UCC, 2023)

Explainable AI (XAI): Core Ideas, Techniques, and Solutions. - Rudresh Dwivedi; Devam Dave; Het Naik; Smiti Singhal; Omer F. Rana; Pankesh Patel; Bin Qian 002; Zhenyu Wen; Tejal Shah; Graham Morgan; Rajiv Ranjan 001 (ACM Comput. Surv., 2023)

LEAP: Lifelong Learning Edge-Cloud Adaptive Fused Framework for Mobility Prediction. - Shamil Al-Ameen; Bharath Sudharsan; Roua Al-Taie; Tejal Shah; Rajiv Ranjan 001 (IEEE Big Data, 2024)

Poly Instance Recurrent Neural Network for Real-time Lifelong Learning at the Low-power Edge. - Shamil Al-Ameen; Bharath Sudharsan; Tejus Vijayakumar; Tomasz Szydlo; Tejal Shah; Rajiv Ranjan 001 (IEEE Big Data, 2024)

Dual Variational Knowledge Attention for Class Incremental Vision Transformer. - Haoran Duan 001; Rui Sun; Varun Ojha 001; Tejal Shah; Zhuoxu Huang; Zizhou Ouyang; Yawen Huang; Yang Long 001; Rajiv Ranjan 001 (IJCNN, 2024)

From Sora What We Can See: A Survey of Text-to-Video Generation. - Rui Sun; Yumin Zhang; Tejal Shah; Jiahao Sun; Shuoying Zhang; Wenqi Li; Haoran Duan 001; Bo Wei; Rajiv Ranjan 001 (CoRR, 2024)

Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching. - Xingyu Miao; Haoran Duan 001; Varun Ojha 001; Jun Song 003; Tejal Shah; Yang Long 001; Rajiv Ranjan 001 (CoRR, 2024)

Rehearsal-free Federated Domain-incremental Learning. - Rui Sun; Haoran Duan 001; Jiahua Dong; Varun Ojha 001; Tejal Shah; Rajiv Ranjan 001 (CoRR, 2024)

ExactDreamer: High-Fidelity Text-to-3D Content Creation via Exact Score Matching. - Yumin Zhang; Xingyu Miao; Haoran Duan 001; Bo Wei; Tejal Shah; Yang Long 001; Rajiv Ranjan 001 (CoRR, 2024)

Dataset Distillation-based Hybrid Federated Learning on Non-IID Data. - Xiufang Shi; Wei Zhang; Mincheng Wu; Guangyi Liu; Zhenyu Wen; Shibo He; Tejal Shah; Rajiv Ranjan 001 (CoRR, 2024)

Exemplar-condensed Federated Class-incremental Learning. - Rui Sun; Yumin Zhang; Varun Ojha 001; Tejal Shah; Haoran Duan 001; Bo Wei; Rajiv Ranjan 001 (CoRR, 2024)

Digital literacy in undergraduate pharmacy education: a scoping review. - Mashael Alowais; Georgina Rudd; Victoria Besa; Hamde Nazar; Tejal Shah; Clare L. Tolley (J. Am. Medical Informatics Assoc., 2024)

LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic Segmentation. - Yumin Zhang; Haoran Duan 001; Rui Sun; Yue Cheng; Tejal Shah; Rajiv Ranjan 001; Bo Wei (AAAI, 2025)

A Circular Construction Product Ontology for End-of-Life Decision-Making. - Kwabena Adu-Duodu; Stanly Wilson; Yinhao Li; Aanuoluwapo Oladimeji; Talea Huraysi; Masoud Barati; Charith Perera; Ellis Solaiman; Omer F. Rana; Rajiv Ranjan 001; Tejal Shah (SAC, 2025)

D2Fusion: Dual-domain fusion with feature superposition for Deepfake detection. - Xueqi Qiu; Xingyu Miao; Fan Wan; Haoran Duan 001; Tejal Shah; Varun Ojha 001; Yang Long 001; Rajiv Ranjan 001 (Inf. Fusion, 2025)

FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation. - Yumin Zhang; Yan Gao; Haoran Duan 001; Hanqing Guo; Tejal Shah; Rajiv Ranjan 001; Bo Wei (CoRR, 2025)

D2Fusion: Dual-domain Fusion with Feature Superposition for Deepfake Detection. - Xueqi Qiu; Xingyu Miao; Fan Wan; Haoran Duan 001; Tejal Shah; Varun Ojha 001; Yang Longa; Rajiv Ranjan 001 (CoRR, 2025)

Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields. - Xingyu Miao; Haoran Duan 001; Yang Bai; Tejal Shah; Jun Song 003; Yang Long 001; Rajiv Ranjan 001; Ling Shao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Parameter Efficient Fine-Tuning for Multi-modal Generative Vision Models with Möbius-Inspired Transformation. - Haoran Duan 001; Shuai Shao; Bing Zhai; Tejal Shah; Jungong Han; Rajiv Ranjan 001 (Int. J. Comput. Vis., 2025)