Ministry of Education
Caxton Emerald Sathia Jeevan
VIDWAN ID: 647944

Dr Caxton Emerald Sathia Jeevan

Male Doctor of Philosophy
Assistant Professor | Department of Statistics and Data Science
Christ University, Bangalore
Expertise: Computer Science Artificial Intelligence
ORCID 0000-0002-7763-3987 Scopus 57576533600 ResearcherID ABH-8080-2022 Google Scholar OgCHQv4AAAAJ
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10 Publications
0 Projects
5 Scopus Citations
10 CrossRef
2 Years 7 Months Total Experience
Publications
10 Total
Articles
3
Chapters
4
Proceedings
3
Activity

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Scopus Scopus
5 Citations
1 h-index
CrossRef CrossRef
10 Citations
3 h-index
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Professional Recognition

Pondicherry University Gold Medal
2015
Pondicherry University (A Central University), Puducherry
UGC NET Junior Research Fellow
2022
University Grants Commission
UGC NET Senior Research Fellow
2024
University Grants Commission

Community & Membership

University AI Task Force - AI in Research, CHRIST (Deemed to be University)
Core Team Member
Jan 2026
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Personal Details

Doctor of Philosophy
2026
BEAMS
Master of Science
2015
BEAMS
Assistant Professor
Oct 2025 – Present
Christ University, Bangalore | Department of Statistics and Data Science
Assistant Professor
Apr 2018 – Apr 2019
Theivanai Ammal College for Women,(Autonomous),Chennai-Trichy Trunk Road | Department of Computer Science and Computer Applications
Guest Faculty
Nov 2015 – May 2016
Pondicherry Univeristy, Puducherry | Department of Computer Science
Engineering and Technology
Computer Science Artificial Intelligence

Related Profiles

Scholarly Work

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Scholarly Publications

Au@CeO2 nanozyme based smart colourimetric sensor for cholesterol: A neural network powered point of care solution model

Journal Article
Biochemical Engineering Journal. Year: 2026. Volume: 225 .
Authors: Poornima Govindharaj; Nihad Alungal; Caxton Emerald. S; Kannan. S
DOI 10.1016/j.bej.2025.109908 Crossref Crossref: 3 Scopus Scopus: 3

Approximating the Sine Function with the Universal Approximator: An Experimental Study with Visualisations

Book Chapter
Year: 2026. Pages: 299-308 .
Authors: S. Caxton Emeral; T. Vengattaraman
DOI 10.1007/978-981-96-9196-8_20

Interpretable Neural Network Design for Approximating the Generalized Absolute Value Function

Book Chapter
Year: 2026. Pages: 195-208 .
Authors: S. Caxton Emerald; T. Vengattaraman
DOI 10.1007/978-981-95-0626-2_16

Neural Network Coordinates: A Python Package for Studying Artificial Neural Networks

Book Chapter
Year: 2026. Pages: 183-193 .
Authors: S. Caxton Emerald; T. Vengattaraman
DOI 10.1007/978-981-95-0626-2_15

Understanding the Role of Neurons and Layers in One-Dimensional Three-Class Classifiers

Book Chapter
Year: 2026. Pages: 433-442 .
Authors: S. Caxton Emerald; T. Vengattaraman
DOI 10.1007/978-981-96-9196-8_29

Explainable Artificial Intelligence with Single Layer Feedforward Neural Network and Improved Crowned Porcupine Optimization Algorithm for Classification Problems

Open Access
Journal Article
Engineering, Technology & Applied Science Research. Year: 2025. Volume: 15 , Issue: 2 , Pages: 21593-21598 .
Authors: Emerald, S. Caxton; Vengattaraman, T.
DOI 10.48084/ETASR.10070 Crossref Crossref: 3

NNVisualiser: An Emerging Framework for Visualising Artificial Neural Networks

Conference Paper
Year: 2025. Pages: 1-6 .
Authors: S, C.E.; T, V.
DOI 10.1109/ICDSAAI65575.2025.11011573

Neural network optimization via inactive neuron removal and neuron merging in single input single output architectures

Journal Article
International Journal of Information Technology. Year: 2025. Volume: 17 , Issue: 6 , Pages: 3397-3404 .
Authors: Caxton Emerald, S.; Vengattaraman, T.
DOI 10.1007/S41870-025-02545-6 Crossref Crossref: 3
Showing 1 to 8 of 10 publications