Akshara Makrariya Makrariya

About

Dr. Akshara Makrariya is a Ph.D. in Mathematics from National Institute of Technology (SVNIT) Surat, India, specializing Computational and Bio Mathematics. She has completed her Post-Doctoral Research under the Young Scientist Fellowship (NPDF) programme, from Science & Engineering Research Board (SERB), DST, Govt. of India. She completed her M.Sc. from Bundelkhand University Jhansi and is a Gold Medalist in M.Phil which she completed from Jiwaji University, Gwalior. Dr. Makrariya has 15 years of academic and research experience. She has publications in reputed journals like International Journal of Biomathematics, International Journal of Heat and Mass Transfer, Cancer Informatics, International Journal of simulation and Modelling etc. She is a recipient of Young Scientist Award, twice. Her research interest includes computational models to study temperature distribution in extended spherical and ellipsoidal shaped human organs, computational models to study, thermal disturbances due to tumours, and their modelling with different numerical methods like fractional calculus, finite volume method, and by using optimization techniques. She is a reviewer of many reputed journals namely, JMIHI, IJB, Computer medicine and biology and IET System biology. She is also an editorial board member of American Research Journals, Science Letters, Adaptation and Personalization (ADP) and many more.

Employment

• VIT Bhopal University Assistant Dean /Associate Professor/ Assistant Director Placement
  2018 - Present
• Maulana Azad National Institute of Technology Post Doctoral Fellow NPDF
  2016 - 2018
• Sagar Institute of Research and Technology Assistant Professor
  2009 - 2016
• Madhav Institute of Technology & Science Lecturer
  2005 - 2005
• DVPG College ORAI jalaun Lecturer
  2002 - 2003

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Mathematical Model to Optimize the Cloth Materials for Physical Activity
  2025 DOI: 10.1007/978-981-97-6794-6_23
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• A Machine Learning validation to identify the difference between Cysts and Malignant tumours in Breast Cancer
  2023 DOI: 10.22541/au.169090039.93096244/v1
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• A Review on Nature-Inspired Algorithms for Cancer Disease Prediction and Classification
  Mathematics 2023 DOI: 10.3390/math11051081
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• Computational and analytic methods in biological sciences: Bioinformatics with machine learning and mathematical modelling
  Computational and Analytic Methods in Biological Sciences: Bioinformatics with Machine Learning and Mathematical Modelling 2022
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• Machine Learning Validation of Numerical Method Based Computational Analysis of Cysts and Malignant Tumors in Breast
  ResearchSquare 2022 DOI: 10.21203/rs.3.rs-1586801
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• Machine Learning approach for Numerical technique for classifying Cysts and Malignant Tumors in Breast
  ResearchSquare 2022 DOI: 10.21203/rs.3.rs-1640235
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• Mathematical Simulation of Behavior of Female Breast Consisting Malignant Tumor During Hormonal Changes
  IEEE Access 2022 DOI: 10.1109/ACCESS.2022.3202630
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• Mathematical modelling of transient heat conduction in biological system by finite element method and coding in MATLAB
  Computational and Analytic Methods in Biological Sciences: Bioinformatics with Machine Learning and Mathematical Modelling 2022
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• Numerical solution of physiological thermoregulatory disturbances in cold environment
  Computational and Analytic Methods in Biological Sciences: Bioinformatics with Machine Learning and Mathematical Modelling 2022
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• One-Dimensional Steady State Heat Conduction Equation with and Without Source Term by FVM
  2022 DOI: 10.1007/978-3-030-99792-2_67
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