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Pulak Baral

Pulak Baral

Assistant Professor

[email protected]
Vidwan Profile Google Scholar

Academic Information

Persuing PhD, UEM, 2025, M.Tech (2017), B.Tech(2014)

Research Areas

BlockChain layer 2 Solution

Research Interests

My research interests focus on Blockchain Layer 2 solutions, which aim to overcome the scalability and efficiency challenges of traditional Layer 1 networks. By leveraging technologies such as rollups, sidechains, and state channels, Layer 2 enhances transaction throughput, reduces costs, and maintains strong security guarantees. This area is critical for addressing the blockchain trilemma of scalability, decentralization, and security. I am particularly interested in exploring how these solutions can support real-world applications, from decentralized finance to supply chain systems, enabling mass adoption and sustainable growth of blockchain ecosystems through faster, more accessible, and user-friendly infrastructures.

Courses Taught

Data Structure and Algorithms, Design Analysis of Algorithm, Theory of Computation, Blockchain, Python, C language, Object-Oriented Programming

Positions Held

Assistant Professor

Publications

1. S. Chakrabarty, S. Jana and P. Baral, "A Data-Driven Approach for the Prediction of Team Potential and Result During Cricket Match," 2024 2nd World Conference on Communication & Computing (WCONF), RAIPUR, India, 2024, pp. 1-5, doi: 10.1109/WCONF61366.2024.10691967. 2. Behera, Rabi & Baral, Pulak & Saha, Subindu & Dash, Sujata. (2017). Emotion based Classification of Human Voice using an Optimized Machine Learning Approach Emotion based Classification of Human Voice using an Optimized Machine Learning Approach. International Journal of Control Theory and Applications. 10.