Specialization

Blockchain Technologies & IoMT networks

Email

aashima.sharma@thapar.edu

Education
1.    PhD in Computer Science and Engineering Thapar Institute of Engineering & Technology, Patiala
o    Title – Blockchain-based secure framework for efficient management of IoT-generated healthcare data.
2.    M. Tech. in Computer Science and Engineering from Thapar Institute of Engineering & Technology, Patiala
3.    B. Tech. in Information Technology from Beant College of Engineering & Technology. 

Trainings
1.    Certifications in various FDPs from organizations like NITTTR Chandigarh, AICTE etc.

Experience
1.    Assistant Professor, Computer Science and Engineering Department, Thapar University Patiala, India (November 2024 - present)
2.    Assistant Professor, Computer Science and Engineering Department, Chitkara University, Rajpura, India (April 2024 – October 2024)

Journal Publications
1.    Sharma, Aashima, Sanmeet Kaur, and Maninder Singh. "A comprehensive review on blockchain and Internet of Things in healthcare." Transactions on Emerging Telecommunications Technologies 32.10 (2021): e4333. “Top Downloaded Article Certificate by the Journal”
2.    Sharma, A., Kaur, S., & Singh, M. (2023). A secure blockchain framework for the internet of medical things. Transactions on Emerging Telecommunications Technologies, e4917. https://onlinelibrary.wiley.com/doi/abs/10.1002/ett.4917. 
3.    Sharma, Aashima, Sanmeet Kaur, and Maninder Singh. "Enhancing healthcare security: Time‐based authentication for privacy‐preserving IoMT sensor monitoring framework leveraging blockchain technology." Concurrency and Computation: Practice and Experience: e8213

Whitepapers:

1.    White Paper on porting TLS to AURIG-2G within Infineon Technologies.
2.    White Paper on firewalls in the automotive domain within Infineon Technologies

Patents:
1.    Advanced Healthcare Management System for Liver Disease Detection through Hybrid Machine Learning and Data Analytics Integration by Combining Support Vector Machine, DenseNet, Recurrent Neural Networks, and Natural Language Processing.

Conference Publications

1.    Simarjit Kaur, Shweta Bansal, Aashima Sharma, and Arzoo Miglani, “Electricity demand prediction in residential buildings using machine learning: A comparative analysis”, in International Conference on Signal Processing, Communication, Power, and Embedded Systems, IEEE, Advances in Intelligent System and Computing, Odisha, India, vol. 1287, pp. 81-87, 2024. (SCOPUS Indexed).

Book Chapter Publications
1.    Simarjit Kaur, Aashima Sharma, and Shweta Bansal, “Future Trends and Emerging Possibilities in AI,” Handbook of Navigating Data Science, Emerald Publishing, vol. 1132, pp. 417-437, 2024. DOI:10.1007/978-3-030-40305-8_24. (SCOPUS Indexed).

Peer reviewer for Journals
•    Wiley ETT
•    Sensors
•    Wireless Networks - Springer