Ph.D. Scholar
Ankush Manocha
His research interests include the development of intelligent smart monitoring frameworks using Internet of Things (IoT) and Digital Twin technologies. His work focuses on integrating deep learning and artificial intelligence techniques for predictive analytics and real-time decision-making. He is also interested in edge analytics, federated environments, and quantum-inspired computing to enhance system efficiency and scalability. Additionally, his research explores applications in smart healthcare, environmental monitoring, and sustainable agriculture. His contributions further extend to remote sensing, intelligent sensing systems, and cyber-physical system optimization. Overall, his research aims to design scalable, reliable, and data-driven intelligent systems for next-generation smart environments.
🎓 Academic Details
- Education: MCA (2012-2015)
- Ph.D Joined: January 2023
- Research Area: Digital Twin (DT) Internet of Things (IoT), Artificial Intelligence (AI), Quantum Computing, Edge Computing, Blockchain Technology
🔬 Research Publications
| S.No. | Author(s) | Title | Journal | IF | Vol. | Page | Year |
|---|---|---|---|---|---|---|---|
| 1 | Ankush Manocha, Munish Bhatia, Prashant Pandey | Quantum Computing-Driven Digital Twin Architecture for Optimized Load Distribution in IoT Networks | IEEE Internet of Things Journal | 8.9 | - | - | 2026 |
| 2 | Ankush Manocha, Munish Bhatia, Sandeep Kumar Sood | Leveraging Quantum Computing for Enhanced Load Balancing in Real-time IoT Systems through Digital Twin Integration | Mobile Networks and Applications (Springer) | 2.0 | Nov | 1-18 | 2025 |
| 3 | Ankush Manocha, Munish Bhatia, Sandeep Kumar Sood | Analyzing Groundwater Quality in Healthcare: A Digital Twin Framework Approach | IEEE Internet of Things Journal | 8.9 | 12 | 54664-54671 | 2025 |
| 4 | Ankush Manocha, Sandeep Kumar Sood, Munish Bhatia | Transformative Approach to Pandemic Response: Leveraging Explainable-AI and Deep Learning for Enhanced Smart Monitoring | IEEE Internet of Things Journal | 8.9 | 12 | 53156-53163 | 2025 |
| 5 | Ankush Manocha, Sandeep Kumar Sood, Munish Bhatia | Edge intelligence-assisted smart healthcare solution for health pandemic: a federated environment approach | Cluster Computing (Springer) | 4.1 | 27 | 5611-5630 | 2024 |
| 6 | Ankush Manocha, Sandeep Kumar Sood, Munish Bhatia | Digital-Twin-Assisted Academic Environment Monitoring for Anxiety Disorder | IEEE Internet of Things Journal | 8.9 | 11 | 13563-13570 | 2024 |
| 7 | Ankush Manocha, Yasir Afaq, Munish Bhatia | Intelligent analysis of irregular physical factors for panic disorder using quantum probability | Journal of Experimental and Theoretical AI | 1.7 | 36 | 1053-1074 | 2024 |
| 8 | Ankush Manocha, Sandeep Kumar Sood, Munish Bhatia | IoT-Dew Computing-Inspired Real-Time Monitoring of Indoor Environment for Irregular Health Prediction | IEEE Transactions on Engineering Management | 5.2 | 71 | 1669-1682 | 2024 |
| 9 | Ankush Manocha, Sandeep Kumar Sood, Munish Bhatia | Federated learning-inspired smart ECG classification: an explainable artificial intelligence approach | Multimedia Tools and Applications (Springer) | 2.0 | 84 | 21673-21696 | 2025 |
| 10 | Ankush Manocha, Sandeep Kumar Sood, Munish Bhatia | IoT-digital twin-inspired smart irrigation approach for optimal water utilization | Sustainable Computing: Informatics and Systems (Elsevier) | 5.7 | 41 | 1-11 | 2024 |
| 11 | Ankush Manocha, Yasir Afaq, Munish Bhatia | Mapping of water bodies from sentinel-2 images using deep learning-based feature fusion approach | Neural Computing and Applications (Springer) | 5.0 | 35 | 9167-9179 | 2024 |
| 12 | Ankush Manocha, Munish Bhatia, Gulshan Kumar | Smart monitoring solution for dengue infection control: A digital twin-inspired approach | Computer Methods and Programs in Biomedicine | 4.8 | 257 | 108459 | 2024 |
| 13 | Ankush Manocha, Yasir Afaq, Munish Bhatia | Digital Twin-assisted Blockchain-inspired irregular event analysis for eldercare | Knowledge-Based Systems (Elsevier) | 7.6 | 260 | 1-14 | 2023 |
| 14 | Ankush Manocha, Gulshan Kumar, Munish Bhatia, Amit Sharma | IoT-inspired machine learning-assisted sedentary behavior analysis in smart healthcare industry | J. Ambient Intelligence and Humanized Computing (Springer) | 7.1 | 14 | 5179-5192 | 2023 |
| 15 | Ankush Manocha, Sandeep Kumar Sood, Munish Bhatia | Digital Twin-assisted Fuzzy Logic-inspired Intelligent Approach for Flood Prediction | IEEE Sensors Journal | 4.5 | Oct | 1-8 | 2023 |
| 16 | Ankush Manocha, Sandeep Kumar Sood, Munish Bhatia | Artificial intelligence-assisted water quality index determination for healthcare | Artificial Intelligence Review (Springer) | 13.9 | 56 | 2893-2915 | 2023 |
| 17 | Ankush Manocha, Gulshan Kumar, Munish Bhatia | IoT Analytics-inspired Real-time Monitoring for Early Prediction of COVID-19 Symptoms | Computer Journal | 1.5 | 66 | 144-159 | 2023 |
| 18 | Munish Bhatia, Tariq Ahamed Ahanger, Ankush Manocha | Artificial intelligence based real-time earthquake prediction | Engineering Applications of Artificial Intelligence (Elsevier) | 8.0 | 120 | 1-14 | 2023 |
| 19 | Ankush Manocha, Munish Bhatia | A novel deep fusion strategy for COVID-19 prediction using multimodality approach | Computers and Electrical Engineering (Elsevier) | 4.9 | 103 | 1-16 | 2022 |
| 20 | Munish Bhatia, Ankush Manocha, Tariq Ahamed Ahanger, Abdullah Alqahtani | Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control | Artificial Intelligence in Medicine (Elsevier) | 6.2 | 127 | 1-14 | 2022 |
| 21 | Munish Bhatia, Ankush Manocha | Cognitive Framework of Food Quality Assessment in IoT-Inspired Smart Restaurants | IEEE Internet of Things Journal | 8.9 | 9 | 6350-6358 | 2020 |
| 22 | Ankush Manocha, Munish Bhatia | IoT-Inspired monitoring framework for real-time stereotypic movement analysis | IEEE Systems Journal | 4.4 | 16 | 2788-2796 | 2022 |
| 23 | Ankush Manocha, Munish Bhatia, Gulshan Kumar | Dew computing-inspired health-meteorological factor analysis for early prediction of bronchial asthma | Journal of Network and Computer Applications (Elsevier) | 8.9 | 179 | 1-14 | 2021 |
| 24 | Ankush Manocha, Ramandeep Singh, Munish Bhatia | Cognitive Intelligence assisted FogCloud Architecture for Generalized Anxiety Disorder (GAD) Prediction | Journal of Medical Systems (Springer) | 5.7 | 44 | 1-20 | 2020 |
| 25 | Munish Bhatia, Ankush Manocha | Machine learning-based predictive analytics for healthcare monitoring | Computers in Biology and Medicine (Elsevier) | 7.7 | 112 | 103-115 | 2019 |
| 26 | Ankush Manocha, Munish Bhatia | Smart healthcare monitoring system using wearable IoT devices | IEEE Sensors Journal | 4.3 | 19 | 7890-7898 | 2019 |
| 27 | Munish Bhatia, Ankush Manocha | Deep learning-based anomaly detection in IoT networks | IEEE Access | 3.9 | 7 | 88900-88912 | 2019 |
📧 Contact
Email: ankushmanocha31@gmail.com