Specialization

Blockchain, Machine Learning and Internet of Things

Email

charu.krishna@thapar.edu

Education
1.    PhD in Computer Science and Engineering from National Institute of Technology Allahabad, Prayagraj.
o    Title – Transparent and Trustworthy Healthcare System using Blockchain  
2.    M. Tech. in Computer Science and Engineering from Delhi Technological University, New Delhi.
3.    B. Tech. in Computer Science and Engineering from Dr. A. P. J. Abdul Kalam Technical University, Lucknow. 
4.    Schooling from Loreto Convent, Lucknow.

Trainings
1.    Certifications in various QIPs/FDPs/STC from organizations like IITs, NIT Allahabad, AICTE etc.
Experience
1.    Assistant Professor, Computer Science and Engineering Department, Thapar University Patiala, India (May 2024 - present)
2.    Assistant Professor, Computer Science and Engineering Department,Institute of Engineering and Rural Technology, Allahabad, India (August 2021 – June 2022)
3.    Assistant Professor, Computer Science and Engineering Department, Babu Banarasi Das, Luckcnow, India (July 2019 – January 2021)

Journal publications
1.    Charu Krishna, Dinesh Kumar and Dharmender Singh Kushwaha, “A Comprehensive Survey on Pandemic Patient Monitoring System: Enabling Technologies, Opportunities, and Research Challenges.” Wireless Pers Commun 131, 2125–2172 (2023). https://doi.org/10.1007/s11277-023-10535-9 (Impact Factor-1.9, SCI Indexed).
2.    Charu Krishna, Divya Kumar and Dharmender Singh Kushwaha, “MedBlockSure: Blockchain-based Insurance System”, Cognitive Computation and Systems, Wiley, (Accepted) (Impact Factor-2.5, ESCI Indexed).
3.    Keerti Singh, Charu Krishna and Divya Kumar, “Professional Ethics, Challenges and Opportunities for BlockchainTechnology in Healthcare Sector: A Systematic Review”, Recent Advances in Computer Science and Communications; Volume 17, Issue 1, Year 2024, e201123223664. DOI: 10.2174/0126662558263462231020111428 (Impact Factor-1.302, SCOPUS Indexed).

Conference publications
1.    Atul Kumar, Charu Krishna, Keerti Singh and Divya, “Stock Price Prediction Using CABC Trained Neural Network”, in 2nd International Conference on Computer, Electronics, Electrical Engineering and their applications (IC2E3 2024), IEEE,  Uttrakhand, India.  (Accepted) (SCOPUS Indexed).
Book Chapter publication
2.    Charu Krishna, Divya Kumar and Dharmender Singh Kumar, "Use Cases of Blockchain in Post-Covid Healthcare." In Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things, pp. 167-179. CRC Press. (SCOPUS Indexed).

Peer reviewer for Journals
●    Wireless Personal Communications Journal
Honours and Achievements
●    Qualified Graduate Aptitude Test in Engineering (GATE) with 97 percentile in 2014.
●    Qualified Graduate Aptitude Test in Engineering (GATE) numerous times.
●    Qualified National Eligibility Test (UGC-NET) for Assistant Professor in December 2015.