Dr. Ankit Kumar

About

Research Interests: Mathematical Analysis of Nonlinear Partial Differential Equations, Mathematical Image Processing, Numerical Analysis, Applications of Fractional Calculus, and Deep Learning.

Ankit Kumar earned his B.Sc. and M.Sc. (Mathematics) degrees from Panjab University Chandigarh, India. He further advanced his academic journey by completing his Ph.D. from the National Institute of Technology Hamirpur, India. His academic excellence is reflected in his qualification of prestigious National-level examinations, including CSIR-NET/JRF and GATE in Mathematical Sciences. His academic journey highlights his dedication to rigorous analysis and contributes meaningfully to the field of mathematics and its applications.

Employment

• Bennett University Assistant Professor
  2025 - Present
• Manav Rachna International Institute of Research and Studies Assistant Professor
  2025 - 2025

Education

• National Institute of Technology Hamirpur PhD
  2020 - 2025

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Telegraph-guided coupled deformable model for ultrasound image segmentation under Nakagami distributed speckle noise
  Communications in Nonlinear Science and Numerical Simulation 2026 DOI: 10.1016/j.cnsns.2026.110716
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• Intelligent ultrasound image segmentation using adaptive coupled fractional deformable model
  Journal of the Franklin Institute 2026 DOI: 10.1016/j.jfranklin.2026.109019
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• Robust image segmentation through a coupled fractional deformable model: Addressing speckle noise and severe intensity inhomogeneity
  Computers and Electrical Engineering 2025 DOI: 10.1016/j.compeleceng.2025.110768
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• Ultrasound Image Segmentation: A Systematic Review of Deformable Models from Classical Techniques to Intelligent Advancements
  Information Fusion 2025 DOI: 10.1016/j.inffus.2025.103768
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• Fractional Coupled Active Contour Model for Image Segmentation
  2025 DOI: 10.1007/978-981-96-2179-8_27
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• ECDM: Enhanced Edge Based Coupled Deformable Model for Image Segmentation in the Presence of Speckle Noise and Severe Intensity Inhomogeneity
  Applied Mathematical Modelling 2024 DOI: 10.1016/j.apm.2024.01.039
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• A Fractional Order Derivative Based Active Contour Model for Simultaneous Image Despeckling and Segmentation
  2024 DOI: 10.1007/978-3-031-58535-7_23
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• A Coupled System for Simultaneous Image Despeckling and Segmentation
  Computational Intelligence in Pattern Recognition 2023 DOI: 10.1007/978-981-99-3734-9_41
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• CDM: A coupled deformable model for image segmentation with speckle noise and severe intensity inhomogeneity
  Chaos, Solitons & Fractals 2023 DOI: 10.1016/j.chaos.2023.113551
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• Deformable models for image segmentation: A critical review of achievements and future challenges
  Computers & Mathematics with Applications 2022 DOI: 10.1016/j.camwa.2022.05.034
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