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Dr. Akhila Henry

Assistant Professor, Department of Mathematics, School of Physical Sciences, Amritapuri

Qualification: Ph. D. in Mathematics
akhilahenryu@am.amrita,edu
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Research Interest: Machine Learning, Chaos Theory
Nature of Association: Regular

Bio Publications FDP / Workshops Awards Conferences Membership Invited Talk
Bio

Dr. Akhila Henry is currently working as an Assistant Professor in the Department of Mathematics at Amrita Vishwa Vidyapeetham, Amritapuri. She completed her Ph.D. at Amrita Vishwa Vidyapeetham under the guidance of Dr. Rajan Sundaravaradhan and Dr. Nithin Nagaraj.

She previously served as a Unity Programmer at AMMACHI Labs (May 2022 – March 2023), followed by her role as a Faculty Associate in the Department of Mathematics (March 2023 – June 2024). From July 2024 to June 2025, she worked as an Assistant Professor (on contract) in the Department of Computer Science.

She has qualified GATE in Mathematics (2022) and in Data Science and Artificial Intelligence (2025). Her research interests include Machine Learning and Chaos Theory.

Publications

Journal Article

Year : 2026

Self-Training the Neurochaos Learning Algorithm

Cite this Research Publication : Anusree M, Akhila Henry, Pramod Nair, Self-Training the Neurochaos Learning Algorithm, Chaos Theory and Applications, Akif Akgul, 2026, https://doi.org/10.51537/chaos.1857261

Publisher : Akif Akgul

Year : 2025

Augmented regression models using neurochaos learning

Cite this Research Publication : Akhila Henry, Nithin Nagaraj, Augmented regression models using neurochaos learning, Chaos, Solitons & Fractals, Elsevier BV, 2025, https://doi.org/10.1016/j.chaos.2025.117213

Publisher : Elsevier BV

Year : 2025

Simplified neurochaos learning architectures for data classification

Cite this Research Publication : Akhila Henry, Rajan Sundaravaradhan, Nithin Nagaraj, Simplified neurochaos learning architectures for data classification, Chaos: An Interdisciplinary Journal of Nonlinear Science, AIP Publishing, 2025, https://doi.org/10.1063/5.0263796

Publisher : AIP Publishing

Year : 2025

Neurochaos Learning for Classification using Composition of Chaotic Maps

Cite this Research Publication : Akhila Henry, Nithin Nagaraj, Neurochaos Learning for Classification using Composition of Chaotic Maps, Chaos Theory and Applications, Akif Akgul, 2025, https://doi.org/10.51537/chaos.1601947

Publisher : Akif Akgul

Year : 2025

Universal Orbits: Unveiling the Connection between Chaotic Dynamics, Normal Numbers, and Neurochaos Learning

Cite this Research Publication : Akhila Henry, Nithin Nagaraj , Rajan Sundaravaradhan, Universal Orbits: Unveiling the Connection between Chaotic Dynamics, Normal Numbers, and Neurochaos Learning, Chaos Theory and Applications, 7(1), 2025, 61-69. https://doi.org/10.51537/chaos.1560943

Conference Paper

Year : 2025

AutochaosNet: A Hyperparameter-Free Neurochaos Learning Algorithm

Cite this Research Publication : Akhila Henry, Nithin Nagaraj, AutochaosNet: A Hyperparameter-Free Neurochaos Learning Algorithm, Proceedings of the 13th ACM IKDD International Conference on Data Science, ACM, 2025, https://doi.org/10.1145/3799830.3799833

Publisher : ACM

FDP / Workshops
  1. Participated in one day Faculty Development Program “Sahabhavanam”: “Building acommunity of Inspired educators” organized by Amrita School of Spiritual and CulturalStudies on 5th October 2024.
  2. Participated in Workshop on Probability theory and its application at CentralUniversityof Kerala, Kasargod (2020)
  3. Participated in Mini-Mathematics Training and Talent Search Programme at HindustanCollege, Coimbatore (2018).
Awards
  1. GATE Mathematics 2022
  2. GATE Data Science and Artificial Intelligence2025
Conferences
  • Akhila Henry and Nithin Nagaraj, AutochaosNet: A Hyperparameter-Free Neurochaos Learning Algorithm, presented at the 13th ACM IKDD International Conference on Data Science, IISER Pune, 17–20 December 2025.
  • Akhila Henry and Nithin Nagaraj, Neurochaos Learning for Classification Using Composition of Chaotic Maps, Presented at the 4th Meeting for the Dissemination and Research in the Study of Complex Systems and their Applications (EDIESCA 2024), Universidad Panamericana, Aguascalientes, Mexico, October 28–30, 2024 (Conference, Online Mode).
Membership
  • Member, Association for Computing Machinery (ACM) 2025 – Present
Invited Talk
  • Delivered an invited talk on “Introduction to AI and Machine Learning: From Basics to Brain-Inspired ChaosNet” as part of the Bridge to Brilliance induction programme for first-year students at T. K. M. College of Arts and Science, Kollam, on 6 August 2025.
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