Rahul Agrawal

About

Dr. Rahul Agrawal is working as Associate professor in Department of Data Science, IoT & Cyber Security (DIC) & Associate Dean R & D at G H Raisoni College of Engineering, Nagpur and has total 14 years of teaching and research experience. He has received Grant of Rs. 3.5 Lakhs from Rajiv Gandhi Science Technology Commission (RGSTC). He has received fellowship of Rs.1.44 Lakhs in Maharashtra State inter university research convection AVISHKAR organized by Mumbai University. He is member of IEEE, IEI technical societies. His research areas include Biomedical Signal processing, Data Science, Machine Learning etc. He has published 100+ research papers in the reputed International Journals and Conferences.

Employment

• G.H.Raisoni College of Engineering Associate Professor
  2014 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (102)

• Iterative multiblock framework for high frequency EEG based neurological disorder detection
  Scientific Reports 2026 DOI: 10.1038/S41598-026-37126-5
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• A Drone-Based Sensing System to Support Satellite Image Analysis for Rice Farm Mapping
  Lecture Notes in Electrical Engineering 2025 DOI: 10.1007/978-981-96-7214-1_6
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• A Review Analysis - RO Waste Water Management System with Home Automation using Green Energy
  2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2025 2025 DOI: 10.1109/SCEECS64059.2025.10941495
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• AuthentiCheck: Validating Google Maps Reviews with Metadata Verification
  2025 1st International Conference on AIML-Applications for Engineering and Technology, ICAET 2025 2025 DOI: 10.1109/ICAET63349.2025.10932250
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• Automated Pet Feeder with Integrated Medicine Dispensing System
  Lecture Notes in Electrical Engineering 2025 DOI: 10.1007/978-981-96-5066-8_13
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• Blockchain-powered integrated health profile and record management system for seamless consultation leveraging unique identifiers
  Blockchain-Enabled Internet of Things Applications in Healthcare: Current Practices and Future Directions 2025
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• Brain Tumor Identification and Diagnosis Using YOLOv10
  IEEE International Conference on "Computational, Communication and Information Technology", ICCCIT 2025 2025 DOI: 10.1109/ICCCIT62592.2025.10928129
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• Comprehensive Data Access Protection Suite
  IEEE International Conference on "Computational, Communication and Information Technology", ICCCIT 2025 2025 DOI: 10.1109/ICCCIT62592.2025.10928082
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• Coronary Heart Disease Prediction Using CNN, RNN, LSTM and Attention DNN Model
  IEEE International Conference on "Computational, Communication and Information Technology", ICCCIT 2025 2025 DOI: 10.1109/ICCCIT62592.2025.10928111
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• Design of Underwater Sonar Target Prediction Using Machine Learning
  Lecture Notes in Electrical Engineering 2025 DOI: 10.1007/978-981-96-7214-1_44
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