Swagatika Sahoo

Assistant Professor

Now I am Assistant Professor [I] at KIIT University and pursuing Ph.D. at IIT Patna under the supervision of Dr. Raju Halder. My research focuses on using blockchain technology to build secure and robust applications while leveraging the potential of language tools and associated technologies. Additionally, I enjoy investigating and resolving problems pertaining to language tools and cryptography.

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Research Interests
Blockchain Technology, Formal Methods Language Tools, Federated Systems, Access Control Paradigms

Projects
Peer-to-Peer Networking and Applications Journal, TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE.

Awards & Honours
Best Paper Award in ACSS 2022 Conference

Memberships
IEEE membership

Outreach Activity
• Taught a module and assisted in workshop on ”Introduction to Blockchain Technology: Cryptocurrency and Beyond” at IITP under AICTE Training and Learning (ATAL), 2019. • Taught a module and assisted in workshop on AICTE Training and Learning (ATAL) FDP ”Blockchain Technology - Future of Cyber Security” conducted by IIT, Patna, 2020.
Books :
Swagatika Sahoo, Akshay M. Fajge, Raju Halder & Agostino Cortesi
Applied Sciences • Volume 9 (11): 1-20 • MDPI • 2019

Conference Papers -

(1) BLRS: An Automated Land Records Management System using Blockchain Technology
Swagatika Sahoo, Saksham Jha, Somenath Sarkar & Raju Halder
Proc. of the 9th International Symposium on Applied Computing for Software and Smart Systems (ACSS '22)

(2) Blockchain-based Forward and Reverse Supply Chains for E-Waste Management
Swagatika Sahoo & Raju Halder
Proc. of the 7th International Conference on Future Data and Security Engineering (FDSE '20)

(3) BDmark: A Blockchain-driven Approach to Big Data Watermarking
Swagatika Sahoo, Rishu Roshan, Vikash Singh & Raju Halder
Proc. of the 12th Asian Conference on Intelligent Information and Database Systems (ACIIDS '20)

(4) A parallel forecasting approach using incremental K-means clustering technique
Swagatika Sahoo
Proc. of the Computational Intelligence in Data Mining (AISC '17)