0000-0002-7628-5693 About
Dr. Dillip Narayan Sahu is working as an assistant professor in the Department of MCA at Gangadhar Meher University (GMU). He graduated with honours in physics. He secured a Master of Computer Application and a Master of Technology in Computer Science. He secured M.Phil. and Ph.D. degree in computer science. He is doing research in the field of AI (machine learning). He has been in the teaching profession for more than 15 years. He has authored several books published worldwide. He has presented and published several papers in national and international peer reviewed journals, conferences, and symposiums. He has several National and International Patents and Copyrights. He has been awarded by 06 International awards. He is the Life Member of several International Academic and Research organizations. His areas of interest include artificial intelligence, machine learning, analysis and design of algorithms, data science, and the Internet of Things.
Employment
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Gangadhar Meher University Assistant professor2020 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (78)
- The classification approach for face spoof detection in artificial neural networks based on IoT concepts Save
- A Fuzzy Logic Based (FLB) Hybrid Level of Approach in the Evaluation of Security Impact in Healthcare Type of Web Applications for Secure Informations Save
- Image-based time series forecasting: A deep convolutional neural network approach Save
- Harnessing Biomedical Signals: Hadoop Infrastructure, AI, and Fuzzy Logic in Healthcare Save
- Fuzzy-Based Hybrid Approach for Security Impact Evaluation in Healthcare Web Applications Save
- Cutting-edge communication: Integrated satellite aerial for 6g networks Save
- CHROMOSOMAL ANEUPLOIDIES: A TERTIARY CARE CENTER STUDY Save
- AI-Based Bolt Loosening Diagnosis with Deep Learning from Laser Ultrasonic Wave Data Save
- AI based Framework for Sustainable Business Management using Machine Learning Models Save
- Development of Enhance-Net Deep Learning Approach for Performance Boosting on Medical Images Save