Dr. Mayank Dixit

About

Dr. Mayank Dixit completed his Bachelor of Engineering (B.E.) in Computer Science & Engineering from the Institute of Engineering & Technology, Dr. B. R. Ambedkar University, Agra, India, in 2005, and his Master of Engineering (M.E.) in Software Systems from BITS-Pilani, Pilani Campus, India, in 2008. He earned his Ph.D. in Computer Science and Engineering from Bennett University, Greater Noida, India.

He is currently serving as an Associate Professor at Galgotias College of Engineering & Technology, Greater Noida, India. Prior to joining academia, he worked in the IT industry. His research interests include Remote Sensing, Computer Vision, and Deep Learning. He has published several research articles in SCIE/Scopus-indexed journals and international conferences and is actively involved as a reviewer for multiple SCI- and Scopus-indexed journals and conferences.

Employment

• Galgotias College of Engineering & Technology Associate Professor
  2023 - Present
• Galgotias College of Engineering and Technology Assistant Professor
  2014 - 2023
• Tata Consultancy Services IT Analyst
  2011 - 2014
• Hewlett-Packard (India) Technology Consultant
  2008 - 2011

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (21)

• Introduction to Data Analytics, Big Data, and Machine Learning
  Studies in Big Data 2024 DOI: 10.1007/978-981-97-0448-4_1
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• Brain Tumor Segmentation from MRI Images using Deep Learning Techniques
  ArXiv 2023
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• Multiple Features Extraction from High Resolution Multi-Spectral Satellite Images using Deep Learning Technique
  2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) 2022 DOI: 10.1109/icac3n56670.2022.10074033
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• Road Extraction from Medium Resolution Satellite Images using Deep Learning Techniques
  2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) 2022 DOI: 10.1109/icac3n56670.2022.10074065
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• Building Extraction from High-Resolution Satellite Images using 2D-Attention Mechanism with Deep Learning
  2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) 2022 DOI: 10.1109/icccis56430.2022.10037742
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• 6+: A Novel Approach for Building Extraction from a Medium Resolution Multi-Spectral Satellite
  Sustainability 2022 DOI: 10.3390/su14031615
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• Automatic Building Extraction From Remote Sensing Satellite Images
  2022
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• Deep learning based water feature mapping using sentinel-2 satellite image
  SPIE Future Sensing Technologies 2021 2021 DOI: https://doi.org/10.1117/12.2603975
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• Machine Learning Based Prediction of H1N1 and Seasonal Flu Vaccination
  Communications in Computer and Information Science 2021 DOI: 10.1007/978-981-16-0401-0_11
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• Dilated-ResUnet: A novel deep learning architecture for building extraction from medium resolution multi-spectral satellite imagery
  Expert Systems with Applications 2021 DOI: 10.1016/j.eswa.2021.115530
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