badhusha mohideen

About

Dr. S. Mohideen Badhusha has more than 22 years of Academic and Research experience in Mobile adhoc networks, Wireless Sensor Networks and Data analytics and Machine Learning. He has been a Resource Person for around 20 technical workshops and 6 FDPs on various disciplines such as Web oriented Applications using PHP and MySQL, Object oriented Concepts using Python, Data Analytics and Machine Learning Techninques using Python, Pythonic Programming and Applications of Mathematics in Machine Learning using Sympy. He has been a Corporate Member of Institution of Engineers (India), Kolkata for 15 years. He has published 6 SCI and scopus indexed Journal papers and published 2 book chapters in MANETs and published a book on security framework using MANETs. He has been recognized and awarded as NPTEL Domain Scholar and NPTEL Discipline Star in Programming Domain in December, 2020. He has been an approved research supervisor in Vishvesvaraya Technological University, Belagavi, Karnataka. He has been a reviewer in Elsevier Journal and awarded with an Elsevier Reviewer Recognition Certificate. He has completed a Consultancy work of Mark management System for Alva’s Homeopathy Hospital. He has got involved in the Web Gis based research project on Identification of Ayurveda plants in Shobhavana in association with IIRS, Bangalore along with students of AIET.

Employment

• Alva's Institute of Engineering and Technology Professor
  2016 - Present

Education

• Anna University Ph.D
  2010 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• An Effective Identification of Ayurveda Herbal Plants Using CNN Model
  Aip Conference Proceedings 2025 DOI: 10.1063/5.0262751
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• Ayurveda Plant Identification and Information Retrieval Using Image Processing and GenAI
  2025 Control Instrumentation System Conference Ciscon 2025 2025 DOI: 10.1109/CISCON66933.2025.11337932
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• Enhanced Deep Learning Based Multi-omics Oral Cancer Survival Prediction System
  Proceedings of 6th International Conference on Iot Based Control Networks and Intelligent Systems Icicnis 2025 2025 DOI: 10.1109/ICICNIS66685.2025.11315547
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• Intelligent Multimodal Ai System for Identity Document Forgery Detection
  2025 IEEE International Conference on Emerging Trends in Computing and Communication Etcom 2025 2025 DOI: 10.1109/ETCOM66606.2025.11436994
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• Smart Crop Health Monitoring and Disease Prediction System using IoT and Machine Learning
  Proceedings of the 2025 3rd International Conference on Inventive Computing and Informatics Icici 2025 2025 DOI: 10.1109/ICICI65870.2025.11069859
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• AN EFFECTIVE AND COMPREHENSIVE CROP RECOMMENDATION SYSTEM USING MACHINE LEARNING
  IEEE International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS) 2024
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• An Effective and Comprehensive Crop Recommendation System Using Machine Learning
  International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications Icetcs 2024 2024 DOI: 10.1109/ICETCS61022.2024.10543400
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• Improved video streaming using MSVC and nonoverlapping zone routing multipath propagation over MANETs
  International Journal of Communication Systems 2018 DOI: 10.1002/dac.3578
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• Energy efficient improved bandwidth video streaming through reliable multipath propagation in MANETs
  International Journal of Applied Engineering Research 2015
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