Saikat Banerjee

About

Mr. Saikat Banerjee is a distinguished aerospace engineer with a profound passion for UAV technology and advanced materials analysis. Holding a Bachelor's degree in Mechanical Engineering and a Master's degree in Aerospace Engineering, specializing in Unmanned Aerial Vehicles (UAVs), Mr. Banerjee has carved an exceptional path in the field of aerospace innovation.

During his academic journey, Mr. Banerjee exhibited exemplary dedication and brilliance. His Master's thesis, conducted at the prestigious Indian Institute of Remote Sensing (IIRS), Indian Space Research Organisation (ISRO), showcased his profound commitment to research excellence. This experience not only enriched his understanding of UAV technology but also exposed him to the intricacies of remote sensing applications.

Mr. Banerjee's intellectual prowess extends to his contributions to academia. He has authored several publications in esteemed journals and conferences, reflecting his substantial insights into cutting-edge UAV research and technological advancements. His collaborations extend globally, including an association with King Fahad University in Dubai, underscoring his capability to foster international partnerships and engage in cross-disciplinary collaborations.

Since 2016, Mr. Banerjee has dedicated himself to the realm of drone design and advanced material analysis. His expertise in this domain has enabled him to create innovative solutions that push the boundaries of conventional aerospace engineering. His proficiency in remote sensing data analysis further amplifies his impact, as he harnesses technology to derive meaningful insights from data collected by UAVs.

Employment

• CSID TECHNOMATRICS PVT LTD FOUNDER & CTO
  2023 - Present
• WINGBOTICS Co-Founder
  2017 - 2025
• Indian Railways Production Management (intern)
  2014 - 2014
• Steel Authority of India Limited Project Intern
  2013 - 2013
• MSME-TECHNOLOGY DEVELOPMENT CENTRE Design Engineer (training)
  2012 - 2013

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (22)

• Fish species identification on low resolution—a study with enhanced superresolution generative adversarial network (ESRGAN), YOLO and VGG-16
  Peerj Computer Science 2025 DOI: 10.7717/peerj-cs.2860
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• Global marine phytoplankton dynamics analysis with machine learning and reanalyzed remote sensing
  Peerj 2024 DOI: 10.7717/PEERJ.17361
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• AUTOMATIZED MARINE VESSEL MONITORING FROM SENTINEL-1 DATA USING CONVOLUTION NEURAL NETWORK
  Arxiv 2023 DOI: 10.48550/arXiv.2304.11717
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• COVID-19 Spreading Prediction and Impact Analysis by using Artificial Intelligence for Sustainable Global Health Assessment
  Arxiv 2023 DOI: 10.48550/arXiv.2304.11733
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• Dependence of Physiochemical Features on Marine Chlorophyll Analysis with Learning Techniques
  Arxiv 2023 DOI: 10.48550/arXiv.2304.12325
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• Higgs Boson Detection from Monte Carlo Simulation Tensors using Wide and Deep Networks
  2023 3rd International Conference on Artificial Intelligence and Signal Processing Aisp 2023 2023 DOI: 10.1109/AISP57993.2023.10134889
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• Improved Large-Scale Ocean Wave Dynamics Remote Monitoring Based on Big Data Analytics and Reanalyzed Remote Sensing
  Nature Environment and Pollution Technology 2023 DOI: 10.46488/NEPT.2023.V22I01.026
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• Estimation of Chlorophyll-a From Oceanographic Properties-An Indirect Approach
  International Geoscience and Remote Sensing Symposium IGARSS 2022 DOI: 10.1109/IGARSS46834.2022.9883294
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• Fish Species Identification on Low Resolution - A Study with Enhanced Super Resolution Generative Adversarial Network (ESRGAN), YOLO and VGG-16
  Research Square 2022 DOI: 10.21203/rs.3.rs-2266266/v2
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• Introduction to Distributed Nearest Hash: On Further Optimizing Cloud Based Distributed kNN Variant
  Procedia Computer Science 2022 DOI: 10.1016/j.procs.2023.01.135
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