Caxton Emerald Sathia Jeevan

About

I am a doctoral researcher in Computer Science at Pondicherry University, India, investigating the mechanistic interpretability of low-dimensional universal-approximator artificial neural networks (ANNs). My work unifies theoretical analysis with empirical results and optimisation via the JeevanRuth Neural Network Optimisation Algorithm, which reduces redundant neurons while preserving accuracy for a specific class of low dimensional ANNs. I develop and maintain the open-source python packages NNVisualiser and NeuralNetworkCoordinates, enabling fine-grained visual analysis of neuron-level transformations; corresponding model repositories are hosted on Hugging Face to support reproducibility. My research has appeared in Scopus-indexed journals and conferences. One of my research presentations at ICACS 2025 has gotten the Best Research Paper Award. Broadly, I aim to advance responsible, explainable AI by revealing how compact ANN architectures learn and generalise.

Apart from my interests in Mechanistic Interpretability, I also aim to contribute towards AGI. My hobby learning interests range from the Quantum realms of physics to Black holes of the Verse, from Cognitive Neuroscience to Evolutionary Developmental Biology

Employment

• Christ (Deemed to Be University) Assistant Professor
  2025 - Present
• Theivanai Ammal College for Women (Autonomous) Assistant Professor
  2018 - 2019
• HTC Holdings Private Ltd (Group of HTC Global Services) Software Development Engineer
  2016 - 2018
• Pondicherry University (A Central University) Guest Faculty
  2015 - 2016

Education

• Pondicherry University (A Central University) Doctor of Philosophy (Computer Science and Engineering)
  2019 - 2026
• Pondicherry University (A Central University) M.Sc. (Five Year Integrated Course)
  2010 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Bimetallic Silver-Copper Micro Flower Nanozyme-Based Colorimetric Sensor Assisted by Artificial Neural Network for Point-of-Care Uric Acid Detection
  Langmuir 2026 DOI: 10.1021/acs.langmuir.6c03725
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• Au@CeO2 nanozyme based smart colourimetric sensor for cholesterol: A neural network powered point of care solution model
  Biochemical Engineering Journal 2026 DOI: 10.1016/j.bej.2025.109908
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• Approximating the Sine Function with the Universal Approximator: An Experimental Study with Visualisations
  2026 DOI: 10.1007/978-981-96-9196-8_20
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• Interpretable Neural Network Design for Approximating the Generalized Absolute Value Function
  2026 DOI: 10.1007/978-981-95-0626-2_16
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• Neural Network Coordinates: A Python Package for Studying Artificial Neural Networks
  2026 DOI: 10.1007/978-981-95-0626-2_15
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• Understanding the Role of Neurons and Layers in One-Dimensional Three-Class Classifiers
  2026 DOI: 10.1007/978-981-96-9196-8_29
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• Explainable Artificial Intelligence with Single Layer Feedforward Neural Network and Improved Crowned Porcupine Optimization Algorithm for Classification Problems
  Engineering, Technology & Applied Science Research 2025 DOI: 10.48084/ETASR.10070
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• NNVisualiser: An Emerging Framework for Visualising Artificial Neural Networks
  International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI) 2025 DOI: 10.1109/ICDSAAI65575.2025.11011573
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• Neural network optimization via inactive neuron removal and neuron merging in single input single output architectures
  International Journal of Information Technology 2025 DOI: 10.1007/S41870-025-02545-6
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• Chaotic Ant Swarm based Feature Subset Selection with Concept Drift Detection and Classification Model for Data Streaming Applications
  Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022 2022 DOI: 10.1109/ICAIS53314.2022.9742928
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