Specialization
Computer Science and Engineering
Email
aditya.gupta@thapar.edu
Education
- Ph.D. in Computer Science and Engineering from Dr. BR Ambedkar National Institute of Technology Jalandhar in 2023
- M. Tech in Computer Science and Engineering from Shri Mata Vaishno Devi University Katra in 2017
- B.E. in Information Technology Engineering from University of Jammu in 2015
Experience: Total Teaching Experience 6.3 years
- From July 2022 – November 2022: Assistant Professor, Department of Computer Science and Engineering, Manipal University Jaipur
- From November 2021 - July 2022: Assistant Professor, Department of Computer Science and Engineering, SRM University Delhi-NCR, Sonepat
- From December 2017-September 2021: Assistant Professor, Department of Computer Science and Engineering, Baba Ghulam Shah Badshah University Rajouri
Teaching Interests:
- Data Structures and Algorithms
- Computer Programming
- Operating Systems
Research Interest:
- Machine learning
- Edge Computing and health informatics
Service activities (within and outside of the institution)
- Reviewer of various publishing houses like ACS, AIP, Elsevier, Springer, and Wiley.
Publications:
Journals
- V. Jain, A. Gupta, P. Verma, and S. S. Gill, "TinyFed6G: federated learning with TinyML for resource-constrained intelligence in 6G edge networks," IEEE Wireless Communications, 2026.
- V. Jain, I. S. Rajput, A. Gupta, and S. Tyagi, "Heartbeat audio signal analysis for cardiovascular abnormality diagnosis using neural-networks," Health Information Science and Systems, vol. 14, no. 1, p. 12, 2026.
- A. Gupta and V. Jain, "Blockchain-assisted IoT framework for reliable monitoring and predictive analytics in perishable food supply chains," Journal of Food Process Engineering, vol. 49, no. 1, p. e70333, 2026.
- V. Jain, N. Arora, and A. Gupta, "Quantum-assisted cardiac diseases diagnosis and prediction using ECG images," The Journal of Supercomputing, vol. 81, no. 15, p. 1439, 2025.
- P. Verma, A. Gupta, R. Dangi, G. Choudhary, N. Dragoni, and I. You, "FC-CACPHS: fog-cloud assisted context-aware framework for cyber-physical healthcare system," International Journal of Ad Hoc and Ubiquitous Computing, vol. 45, no. 3, pp. 186–199, 2024.
- P. Verma, A. Gupta, V. Jain, K. Shashvat, M. Kumar, and S. S. Gill, "An AIoT-driven smart healthcare framework for zoonoses detection in integrated fog-cloud computing environments," Software: Practice and Experience, 2024.
- A. Gupta, A. Singh, "Healthcare 4.0: recent advancements and futuristic research directions," Wireless Personal Communications, ISSN: 0929-6212, 2023.
- A. Gupta, A. Singh, "EDL-NSGA-II: Ensemble deep learning framework with NSGA-II feature selection for heart disease prediction," Expert Systems, ISSN: 1468-0394, 2023.
- A. Gupta, M. Bhagat, V. Jain, "Blockchain-enabled healthcare monitoring system for early Monkeypox detection," Journal of Supercomputing, ISSN: 0920-8542, 2023.
- P. Verma, A. Gupta, M. Kumar, S. S. Gill, "FCMCPS-COVID: AI propelled fog–cloud inspired scalable medical cyber-physical system, specific to coronavirus disease," Internet of Things, ISSN: 2542-6605, 2023.
- I. S. Rajput, A. Gupta, V. Jain, S. Tyagi, "A transfer learning-based brain tumor classification using magnetic resonance images," Multimedia Tools and Applications, ISSN: 1380-7501, 2023.
- A. Gupta, A. Singh, "A Comprehensive Survey on Cyber-Physical Systems Towards Healthcare 4.0," SN Computer Science, ISSN: 2661-8907, 2023.
- V. Jain, B. Kumar, A. Gupta, "Cybertwin-driven resource allocation using deep reinforcement learning in 6G-enabled edge environment," Computer and Information Sciences, 2022.
- A. Gupta, I. Singh, G. Soni, V. Jain, "NSGA-II-XGB: Meta-heuristic feature selection with XGBoost framework for diabetes prediction," Concurrency and Computation: Practice and Experience, 2022
- A. Gupta, A. Singh, "An Intelligent Healthcare Cyber-Physical Framework for Encephalitis Diagnosis based on Information Fusion and Soft-Computing Techniques," New Generation Computing, ISSN: 1882-7055, 2022.
- A. Gupta, A. Singh, "An optimal multi-disease prediction framework using hybrid machine learning techniques," Kuwait Journal of Science, ISSN: 2307-4108, 2022.
- A. Gupta, V. Jain, A. Singh, "Stacking Ensemble Based Intelligent Machine Learning Model For Predicting Post-COVID-19 Complications," New Generation Computing, ISSN: 1882-7055, 2021
- Vibha Jain, Bijender Kumar, Aditya Gupta, ”Cybertwin-driven resource allocation using deep reinforcement learning in 6G-enabled edge environment”, Computer and Information Sciences (published by ScienceDirect), Impact Factor: 6.9, (SCIE).
- Aditya Gupta, Ishwari Singh, Gunjan, Vibha Jain, Soni,”NSGA-II-XGB: Meta-heuristic feature selection with XGBoost framework for diabetes prediction”, Concurrency and Computation: Practice and Experience, (published by Wiley), Impact Factor: 2.0, (SCIE).
- Aditya Gupta, Amritpal Singh, “An Intelligent Healthcare Cyber-Physical Framework for Encephalitis Diagnosis based on Information Fusion and Soft-Computing Techniques”, New Generation Computing (published by Springer), ISSN: 1882-7055, Impact Factor: 2.6, (SCIE).
- Aditya Gupta, Amritpal Singh, “An optimal multi-disease prediction framework using hybrid machine learning techniques”, Kuwait Journal of Science, ISSN: 2307-4108, Impact Factor: 1.4, (SCIE).
- Aditya Gupta, Amritpal Singh, “Healthcare 4.0: recent advancements and futuristic research directions”, Wireless Personal Communications, ISSN: 0929-6212, Impact Factor: 2.2, (SCIE).
- Aditya Gupta, Amritpal Singh, “EDL-NSGA-II: Ensemble deep learning framework with NSGA-II feature selection for heart disease prediction”, Expert Systems, ISSN: 1468-0394, Impact Factor: 3.3, (SCIE).
- Aditya Gupta, Monu Bhagat, Vibha Jain “Blockchain-enabled healthcare monitoring system for early Monkeypox detection”, Journal of Supercomputing, ISSN: 0920-8542, Impact Factor: 3.3, (SCIE).
- Prabal Verma, Aditya Gupta, Mohit Kumar, Sukhpal Singh Gill,“FCMCPS-COVID: AI propelled fog–cloud inspired scalable medical cyber-physical system, specific to coronavirus disease”, Internet of Things, ISSN: 2542-6605, Impact Factor: 5.9, (SCIE).
- Ishwari Singh Rajput, Aditya Gupta, Vibha Jain, Sonam Tyagi,“A transfer learning-based brain tumor classification using magnetic resonance images”, Multimedia Tools and Applications, ISSN: 1380-7501, Impact Factor: 3.6, (SCIE).
- Aditya Gupta, Amritpal Singh, “A Comprehensive Survey on Cyber-Physical Systems Towards Healthcare 4.0 ”, SN Computer Science, ISSN: 2661-8907, (SCOPUS).
Details of Sponsored Project (PI)
1. Title: Intelligent Healthcare Systems Assisted by Data Analytics and Mobile Computing
Status: Completed
Role: Principal Investigator
Amount: 6.05 Lacs
Funding Agency: AICTE, Government of India
Duration: July 2019-September 2021
2. Title: Fog-Cloud Centric IoT Assisted Technologies in Healthcare
Status: Completed
Role: Principal Investigator
Amount: 2.90 Lacs
Funding Agency: NPIU, a unit of the Ministry of Education, Government of India
Duration: January 2020-September 2021
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