Samarjeet Borah

About

Samarjeet Borah is a prominent researcher at the intersection of the Internet of Things (IoT) and machine learning (ML), with a focus on developing intelligent systems for real-world applications. His most-cited work, "A Comprehensive Study of Contemporary IoT Technologies and Varied Machine Learning (ML) Schemes" (2020, 8 citations), provides a foundational survey that bridges the gap between IoT infrastructure and ML algorithms, offering critical insights into how data-driven models can enhance IoT functionality. Beyond this, Borah has contributed to advancing computational methods in areas such as data mining, soft computing, and predictive analytics, often emphasizing the integration of ML with IoT for smart environments. His research has been instrumental in shaping how modern IoT systems leverage ML for tasks like anomaly detection, resource optimization, and decision-making. With a growing citation impact, Borah’s work is recognized for its practical relevance and interdisciplinary reach, making him a key voice in the evolution of intelligent, connected technologies.

Research Focus

Key Achievements

Top Papers

1. 1
   A Comprehensive Study of Contemporary IoT Technologies and Varied Machine Learning (ML) Schemes

   8 citations · 2020

Key Collaborators

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