☰

Research

Google Scholar Profile:
Access my complete list of publications, citation metrics, and research impact on Google Scholar.

View Google Scholar →

Research Areas

  • Ontology
  • Big Data Analytics
  • Semantic Web
  • Internet of Things (IoT)
  • Complex Event Processing
  • Knowledge Graphs

Publications

Patent

  1. Title: Intelligent IoT-Based Cost-Effective Health Monitoring Device for Wheelchair and Bedridden Users with Predictive Analytics.
    Authors: Ritesh Chandra, Sonali Agarwal, Navjot Singh.
    Application No.: 202411063899. Granted Patent No.: 595678.
  2. Title: A WEARABLE ASSISTIVE SYSTEM WITH INTEGRATED REAL-TIME HEALTH AND EMOTION MONITORING OF LOWER-LIMB DISABLED PERSONS.
    Authors: Ritesh Chandra, Sadhan Tiwari, Sonali Agarwal.
    Application No.:202611052999 (Published).
  3. Title: Portable Vision-Based Locomotor Disability Assessment and Quantification System with Agentic AI.
    Authors: Ritesh Chandra, Shashi Shekhar Kumar, Partha Pratim Roy, Sonali Agarwal.
    Application No.:202611105172 (Filed).

Tutorial

  1. Ritesh Chandra, “Mining Useful Information Via Complex Network Visualization,” IEEE VIS 2023.

Copyright

  1. Title: Ontology-Driven Knowledge Modeling for IoT-Based Health Monitoring of Wheelchair Users.
    Applicant: Ritesh Chandra.
    Diary No.: LD-12519/2026-CO Registered
    Date: 19/03/2026.

Journals

  1. Ritesh Chandra, Sonali Agarwal, Navjot Singh, and Sadhana Tiwari, “A Review of Ontology-Driven Big Data Analytics in Healthcare: Challenges, Tools, and Applications,” Knowledge and Information Systems, Accepted for publication, 2026.
  2. Ritesh Chandra, Sonali Agarwal, Navjot Singh, “Semantic sensor network ontology based decision support system for forest fire management,” Ecological Informatics, https://doi.org/10.1016/j.ecoinf.2022.101821, 2022.
  3. Ritesh Chandra, Sadhana Tiwari, Sonali Agarwal, Navjot Singh, “Semantic Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules,” Knowledge-Based Systems, 274, https://doi.org/10.1016/j.knosys.2023.110645, 2023.
  4. Ritesh Chandra, Tiwari, S., Rastogi, S., Agarwal, S. “A diagnosis and treatment of liver diseases: integrating batch processing, rule-based event detection and explainable artificial intelligence,” Evolving Systems, 16(2), 1–26, https://doi.org/10.1007/s12530-025-09679-9, 2025.
  5. Ritesh Chandra, Kumar, S. S., Patra, R., Agarwal, S. “Decision support system for forest fire management using ontology with big data and LLMs,” Cluster Computing, 28(8), 548, 2025.
  6. Ritesh Chandra, Sonali Agarwal, Navjot Singh, “Ontology-based knowledge modeling approach for big data analysis of interdependent health conditions in the diagnosis of non-communicable diseases,” Knowledge and Information Systems, 68(1), 90, 2026.
  7. Mohammad Zohair, Ritesh Chandra, Sadhana Tiwari, Sonali Agarwal, “A model fusion approach for severity prediction of diabetes with respect to binary and multiclass classification,” International Journal of Information Technology, https://doi.org/10.1007/s41870-023-01463-9, 2023.
  8. Kumar, S. S., Ritesh Chandra, Agarwal, S. “A real-time approach for smart building operations prediction using rule-based complex event processing and SPARQL query,” The Journal of Supercomputing, 2024, https://doi.org/10.1007/s11227-024-06276-6.
  9. Shashi Shekhar Kumar, Ritesh Chandra, Sonali Agarwal, “Rule based complex event processing for an air quality monitoring system in smart city,” Sustainable Cities and Society, Volume 112, 105609, 2024, https://doi.org/10.1016/j.scs.2024.105609.
  10. Kumar, S. S., Ritesh Chandra, Harsh, A., Agarwal, S. “Fuzzy rule-based intelligent cardiovascular disease prediction using complex event processing,” The Journal of Supercomputing, 81(2), 402, 2025, https://doi.org/10.1007/s11227-024-06911-2.

Conference Proceedings

  1. Ritesh Chandra, Sonali Agarwal, Navjot Singh, “Ontology-Based Integration and Analysis of NoSQL and RDF Data for IoT-Driven Healthcare Systems,” Proceedings of the 2025 OITS International Conference on Information Technology (OCIT), pp. 1051–1056, IEEE, 2025.
  2. Ritesh Chandra, Sonali Agarwal, Sadhana Tiwari, “Ontology-Based Forest Fire Management Using Complex Event Processing and Large Language Models,” International Conference on Database and Expert Systems Applications, Springer Nature Switzerland, pp. 98–112, 2025.
  3. Singh, H., Tiwari, S., Ritesh Chandra, Agarwal, S., Sonbhadra, S. K., & Singh, V., “Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions,” International Conference on Database and Expert Systems Applications, Springer Nature Switzerland, pp. 322–328, August 2025.
  4. Ritesh Chandra, Tiwari, S., Agarwal, S., & Singh, N., “Ontology-Driven Semantic Interoperability Approach for Big Data Analytics in Healthcare IoT Systems,” International Conference on Cloud Computing, Data Science and Engineering, Springer Nature Singapore, pp. 263–273, January 2025.
  5. Ritesh Chandra, Tiwari, S., Kumar, S. S., Agarwal, S., “Diabetic Retinopathy Prediction Based on CNN and AlexNet Model,” 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence), IEEE, pp. 382–387, January 2024.
  6. Ritesh Chandra, Kumar, S. S., Tiwari, S., Patra, R., Agarwal, S., “An Enhancement of Breast Cancer Abnormalities Detection Using Deep CNN,” OITS International Conference on Information Technology (OCIT), IEEE, pp. 108–113, December 2024.
  7. Kumar, A., Kumar, S. S., Ritesh Chandra, & Kumar, A., “Software Defect Prediction Using Data Mining Techniques,” Artificial Intelligence and Information Technologies, CRC Press, pp. 36–42, 2024.
  8. Mishra, M., Tiwari, S., Ritesh Chandra, Agarwal, S., & Sonbhadra, S. K., “Geolocated Event Detection using Graph Mining Approach on Real-Time Multimodal Data,” 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, pp. 1–7, June 2024.
  9. Ritesh Chandra, Shukla, A., Tiwari, S., Agarwal, S., Syafrullah, M., Adiyarta, K., “Natural Language Processing and Ontology Based Decision Support System for Diabetic Patients,” 9th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), IEEE, pp. 13–18, October 2022.
  10. Tiwari, S., Ritesh Chandra, Agarwal, S., “An Optimized Hybrid Solution for IoT-Based Lifestyle Disease Classification Using Stress Data,” International Conference on Neural Information Processing, Springer Nature Singapore, pp. 433–445, November 2022.
  11. Kumar, S. S., Kumar, A., Ritesh Chandra, Agarwal, S., Syafrullah, M., Adiyarta, K., “Leveraging Regression Models for Rule-Based Complex Event Processing,” 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), IEEE, pp. 528–533, September 2023.
  12. Kumar, S. S., Kumar, A., Ritesh Chandra, Agarwal, S., Syafrullah, M., Adiyarta, K., “Rule Extraction Using Machine Learning Classifiers for Complex Event Processing,” 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), IEEE, pp. 355–360, September 2023.
  13. Ritesh Chandra, Tiwari, S., Kumar, A., Agarwal, S., Syafrullah, M., Adiyarta, K., “Autism Spectrum Disorder Detection Using Autistic Image Dataset,” 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), IEEE, pp. 54–59, September 2023.
  14. Ritesh Chandra, Tiwari, S., Kumar, S. S., Agarwal, S., Syafrullah, M., Adiyarta, K., “Deep Neural Networks for Brain Tumor Image Segmentation and Detection,” 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), IEEE, pp. 25–30, September 2023.
  15. Tiwari, S., Zohair, M., Ritesh Chandra, Agarwal, S., Agarwal, P., “AI-Enabled Learning for Imbalanced Class Data Using Spark Streaming Concepts,” OITS International Conference on Information Technology (OCIT), IEEE, pp. 982–987, December 2023.
  16. Geed, A., Ritesh Chandra, Tiwari, S., Agarwal, S., Singh, K. P., “A Personalized Cancer Diagnosis Using Text-Based Clinical Data with Machine Learning Models,” OITS International Conference on Information Technology (OCIT), IEEE, pp. 988–993, December 2023.
  17. Kumar, S. S., Agarwal, S., Ritesh Chandra, Kumar, A., “Predictive Stream Analytics for Threshold-Based Approach: A Case Study of Temperature Anomaly,” IEEE 7th Conference on Information and Communication Technology (CICT), IEEE, pp. 1–6, December 2023.

Book Chapter

  1. Title: Integrating Statistical Models and Ontology-Based Semantic Reasoning for Forecasting and Analytics of Pandemic Outbreaks.
    Authors: Sadhana Tiwari, Ritesh Chandra, Prof. Sonali Agarwal.
    Publication Date: November 2025.
    Book: Data Protection, Cyber Security, AI Infrastructure & Governance 2025.
    Volume: 8.
    Pages: 134–141.
    Publisher: ABDI 8th Book Series.