Dr. MOHD. AQUIB ANSARI

About

Dr. Mohd. Aquib Ansari has completed his B.E. from SATI Vidisha in Information Technology (2014). He has done his M.Tech. from MITS Gwalior in Information Technology (2017). He has done his Ph.D. from MNNIT Allahabad (Dec 2022). Currently, he is working as an assistant professor at Bennett University, Greater Noida. His research interest includes Digital Image Processing, Computer Vision, Artificial Intelligence and Network Security.

Employment

• Galgotias University Assistant Professor
  2025 - Present
• Bennett University Assistant Professor
  2023 - Present
• GLA University Assistant Professor
  2022 - 2023
• L.N.C.T. Assistant Professor
  2018 - 2018

Education

• Madhav Institute of Technology & Science M.Tech.
  2015 - 2017
• Samrat Ashok Technological Institute B.E.
  2010 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (85)

• Content‐aware Convolutional VAE for Anime Face Synthesis
  2026 DOI: 10.1002/9781394403158.ch09
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• Advanced Foundations and Future Trends in Generative AI for Visual Media
  2026 DOI: 10.1002/9781394403158.ch07
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• Stress detection using EEG signals: comparative analysis of machine learning models and feature extraction
  Life Cycle Reliability and Safety Engineering 2026 DOI: 10.1007/s41872-025-00375-w
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• Proactive maintenance for water pumps: multitask neural network for fault detection and RUL estimation
  Life Cycle Reliability and Safety Engineering 2026 DOI: 10.1007/s41872-025-00386-7
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• Optimized brain tumor segmentation using MiniSegNet, U-Net, and FCN with compressed learning techniques
  Cluster Computing 2026 DOI: 10.1007/s10586-025-05819-7
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• Hybrid recommender system for personalized healthcare: integration of content-based and collaborative filtering approaches
  International Journal of System Assurance Engineering and Management 2026 DOI: 10.1007/s13198-025-02965-4
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• Deep Insights in Brain Tumour Classification Using Deep Learning and Explainable AI Tools
  Communications in Computer and Information Science 2026 DOI: 10.1007/978-3-032-14908-4_14
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• Blockchain-Based Solutions for Enhancing Transparency and Efficiency in Organ Transplantation
  IEEE Communications Standards Magazine 2026 DOI: 10.1109/MCOMSTD.2025.3645145
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• AI-Driven Healthcare Optimization: Integrating Fog and Edge Computing for Secure and Real-Time Medical Solutions
  Advances in Science Technology and Innovation 2026 DOI: 10.1007/978-3-031-96265-3_5
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• Nutrition Meets AI
  2026 DOI: 10.4018/979-8-3373-1330-6.ch015
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