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Subhrangshu Adhikary
PeerJ Author & Reviewer
105 Points

Contributions by role

Reviewer 105

Contributions by subject area

Ecosystem Science
Soil Science
Environmental Impacts
Spatial and Geographic Information Science
Artificial Intelligence
Data Mining and Machine Learning
Network Science and Online Social Networks
Text Mining
Autonomous Systems
Computer Vision

Subhrangshu Adhikary

PeerJ Author & Reviewer

Summary

Subhrangshu Adhikary is a dynamic and accomplished individual who is shaping the landscape of technology and research. He graduated with a BTech degree from Dr. B.C. Roy Engineering College, Durgapur, in 2022, and he is currently pursuing his PhD at NIT Durgapur. His academic journey is marked by excellence and a commitment to pushing the boundaries of knowledge.

With a remarkable track record, Subhrangshu has earned the distinction of winning 4 prestigious national-scale awards, a testament to his exceptional contributions and dedication to his field. As an active researcher, he has made substantial strides in research and development, with an impressive portfolio of over 25 papers published in Tier 1 conferences and journals. His insights and expertise have also been recognized through his role as a reviewer, having assessed over 700 papers for 18 journals.

Subhrangshu's expertise in drones and applied remote sensing technologies is at the forefront of his contributions. His groundbreaking work includes the development of an AI-enabled plantation monitoring system using drones for the West Bengal Forest Department, showcasing his innovative approach to environmental conservation. His expertise extends beyond research, as he has shared his knowledge through invited talks at esteemed institutions, highlighting the practical applications of data processing and sensor technology in drone systems.

His specialization in algorithmic development and data processing for UAVs has resulted in impactful research published in high-ranked international scientific conferences. Subhrangshu's pioneering spirit is further evident in his groundbreaking work using UAV technology for real-time oil spill monitoring in marine environments, as well as the development of mechanisms for monitoring marine chlorophyll using remote sensing technologies.

Additionally, Subhrangshu's repertoire includes the development of various UAV-based surveillance systems, ranging from traffic management to forest fire mapping. His multifaceted contributions underscore his commitment to technological innovation and addressing real-world challenges.

Subhrangshu Adhikary's journey is a testament to his relentless pursuit of excellence, pioneering research, and visionary contributions to the fields of drone technology and remote sensing. His impact on research and his commitment to creating a positive change are hallmarks of his remarkable career.

Data Mining & Machine Learning Data Science

Work details

Director

Spiraldevs Automation Industries Pvt. Ltd.
July 2020
Research and Development

PeerJ Contributions

  • Articles 2
  • Reviewed 2
April 30, 2025
Fish species identification on low resolution—a study with enhanced super-resolution generative adversarial network (ESRGAN), YOLO and VGG-16
Subhrangshu Adhikary, Saikat Banerjee, Rajani Singh, Ashutosh Dhar Dwivedi
https://doi.org/10.7717/peerj-cs.2860
May 8, 2024
Global marine phytoplankton dynamics analysis with machine learning and reanalyzed remote sensing
Subhrangshu Adhikary, Surya Prakash Tiwari, Saikat Banerjee, Ashutosh Dhar Dwivedi, Syed Masiur Rahman
https://doi.org/10.7717/peerj.17361 PubMed 38737741

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

August 19, 2024
Joint coordinate attention mechanism and instance normalization for COVID online comments text classification
Rong Zhu, Hua-Hui Gao, Yong Wang
https://doi.org/10.7717/peerj-cs.2240
August 1, 2024
Soil organic carbon estimation using remote sensing data-driven machine learning
Qi Chen, Yiting Wang, Xicun Zhu
https://doi.org/10.7717/peerj.17836 PubMed 39099659