Sandeep Kumar Hegde

About

Dr.Sandeep Kumar Hegde is accomplished academician and researcher with over 15 years of progressive teaching experience complemented by 3 years of industry engagement at Tata Consultancy Services (TCS). Holds a Ph.D., M.Tech, and B.E. in Computer Science and Engineering from Visvesvaraya Technological University, Belagavi, with specialized research in applying Machine Learning algorithms for chronic disease prediction and analysis.He has published paper several SCI-indexed journal papers and more than 30 papers in prestigious international and national conferences.He is presently working as Associate Professor at NMAM Institute of Technology,NITTE(Deemed to be University),Nitte.

Employment

• NMAM Institute of Technology Assistant Professor
  2016 - Present
• NITTE(Deemed to be University),Department of CSE, NMAM Institute of Technology(NMAMIT),Nitte Associate Professor

Education

• NMAM Institute of Technology B.E
• Visvesvaraya Technological University M.Tech

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• A Novel Ensembled Deep Machine Learning Framework for the Prediction of Chronic Disease
  2024 DOI: 10.4018/979-8-3693-7462-7.ch012
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• Smart Traffic Monitoring and Control Using Drone Swarms Technology in Urban Areas
  2024 DOI: 10.4018/979-8-3693-2093-8.ch012
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• Cloud Robotics and Automation
  Shaping the Future of Automation With Cloud-Enhanced Robotics 2024 DOI: 10.4018/979-8-3693-1914-7.ch004
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• Early Prediction of Thyroid Cancer using Hybrid Combination of Swarm Optimization and Meta Classifier based Machine Learning Algorithm
  2nd International Conference on Intelligent Cyber Physical Systems and Internet of Things, ICoICI 2024 - Proceedings 2024 DOI: 10.1109/ICoICI62503.2024.10696686
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• An Automated Text Summarization and Machine Learning-Based Framework for Heart Disease Prediction
  Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies 2023 DOI: 10.4018/978-1-6684-8145-5.ch010
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• An Energy-Efficient Keyless Approach to Home Security Using Internet of Things
  Energy Systems Design for Low-Power Computing 2023 DOI: 10.4018/978-1-6684-4974-5.ch012
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• Hybrid generative regression-based deep intelligence to predict the risk of chronic disease
  International Journal of Intelligent Computing and Cybernetics 2022 DOI: 10.1108/IJICC-06-2021-0103
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• Machine Learning-Based Approach for Predictive Analytics in Healthcare
  Deep Learning Applications for Cyber-Physical Systems 2021 DOI: 10.4018/978-1-7998-8161-2.ch010
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• Secure data transmission in wireless networks using SRTN scheduling algorithm
  IET Conference Publications 2013
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