Mohd Shoaib Khan

About

I did my masters in pure mathematics from Aligarh Muslim University and Ph.D. in applied mathematics from South Asian University, New Delhi, India. I am interested in the classification and clustering problems of machine learning. The ultimate goal of these problems is to distinguish between data points by some classifier. Nowadays, we have more challenging datasets where traditional classifiers show compromised accuracies. Therefore, I am more motivated to do Topological Data Analysis (TDA) to enhance machine learning algorithms by extracting qualitative information, like connected components, holes, voids, etc., from data.

Employment

• M S Ramaiah University of Applied Sciences Assistant Professor
  2023 - Present
• KL University Research Faculty
  2022 - 2023

Education

• Aligarh Muslim University M.Sc.
• South Asian University Ph.D.
  ? - 2021

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• An approach to extract topological information from Intuitionistic Fuzzy Sets and their application in obtaining a Natural Hierarchical Clustering Algorithm
  Applied Soft Computing 2024 DOI: 10.1016/j.asoc.2024.111691
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• Topological analysis of intuitionistic fuzzy distance measures with applications in classification and clustering
  Engineering Applications of Artificial Intelligence 2022 DOI: 10.1016/j.engappai.2022.105415
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• Existence of Intuitionistic Fuzzy Additive Definite Integral by an Optimized Subtraction Operation
  2022 DOI: 10.21203/rs.3.rs-1221865/v1
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• Difference sequence-based distance measure for intuitionistic fuzzy sets and its application in decision making process
  Soft Computing 2021 DOI: 10.1007/s00500-021-05875-2
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• Necessary and sufficient condition for the existence of Atanassov's Intuitionistic Fuzzy based additive definite integral
  IEEE International Conference on Fuzzy Systems 2021 DOI: 10.1109/FUZZ45933.2021.9494450
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• Atanassov's intuitionistic fuzzy measure based on the Sugeno integral induced by (α, β)-cut
  IEEE International Conference on Fuzzy Systems 2020 DOI: 10.1109/FUZZ48607.2020.9177633
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• New bounded variation based similarity measures between Atanassov intuitionistic fuzzy sets for clustering and pattern recognition
  Applied Soft Computing 2019 DOI: 10.1016/j.asoc.2019.105529
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• Existence of Atanassov's Intuitionistic Fuzzy Definite Integrals
  IEEE International Conference on Fuzzy Systems 2019 DOI: 10.1109/FUZZ-IEEE.2019.8862468
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• A novel sequence space related to Lp defined by Orlicz function with application in pattern recognition
  Journal of Inequalities and Applications 2017 DOI: 10.1186/s13660-017-1541-6
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• Sequence spaces M(ϕ) and N(ϕ) with application in clustering
  Journal of Inequalities and Applications 2017 DOI: 10.1186/s13660-017-1333-z
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