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Dr. Archudha A

Assistant Professor, School of Artificial Intelligence, Coimbatore

Qualification: Ph.D
a_archudha@cb.amrita.edu
Google Scholar Profile
Research Interest: Machine Learning, Deep Learning, Graph Neural Networks

Bio Publications Qualification Experience Courses taught Awards Conferences Attended
Bio

Dr. Archudha A is an Assistant Professor at Amrita School of Artificial Intelligence since May 2025. She holds a Ph.D. in Information and Communication Engineering from Anna University, awarded in 2021. With a passion for innovation and knowledge dissemination, she embarked on a full-time teaching and research career in 2023. Dr.Archudha has published several research papers in reputed international journals and conferences and has filed four patents reflecting her commitment to impactful research. She is a recognized Innovation Ambassador by the Institution’s Innovation Council (IIC), Ministry of Education, Government of India. Her current research interests include Machine Learning, Deep Learning, and Graph Neural Networks, with a focus on solving real-world problems through intelligent systems

Publications

Journal Article

Year : 2025

Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability

Cite this Research Publication : Sathvik Sharath Chandra, Rakesh Kumar, Archudha Arjunasamy, Sakshi Galagali, Adithya Tantri, Sujay Raghavendra Naganna, Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability, Scientific Reports, Springer Science and Business Media LLC, 2025, https://doi.org/10.1038/s41598-025-89606-9

Publisher : Springer Science and Business Media LLC

Year : 2025

Impact of meteorological factors and ventilation coefficient on diurnal and seasonal variations of tropospheric ozone in Bangalore

Cite this Research Publication : H.N. Sowmya, B.S. Surendra, Archudha Arjunasamy, E.K. Reshma, M. Bhaskar, K.S. Kavitha, G.P. Shivashankara, H.K. Ramaraju, Impact of meteorological factors and ventilation coefficient on diurnal and seasonal variations of tropospheric ozone in Bangalore, Research in Cold and Arid Regions, Elsevier BV, 2025, https://doi.org/10.1016/j.rcar.2025.03.007

Publisher : Elsevier BV

Year : 2024

MREM-IUP – A MultiRegressor Based Ensemble Model for Assessing the Internet Addiction in Youth Using Physical and Behavioural Indicators

Cite this Research Publication : Karthiga M, Sureshraja Ramar, Archudha A, Kavya D N, Deepshree Buchade, Asesh Kumar Tripathy, MREM-IUP - A MultiRegressor Based Ensemble Model for Assessing the Internet Addiction in Youth Using Physical and Behavioural Indicators, South Eastern European Journal of Public Health, Uphills Publishers LLC, 2024, https://doi.org/10.70135/seejph.vi.2370

Publisher : Uphills Publishers LLC

Year : 2019

Relationship Based Heuristic for Selecting Friends in Social Internet of Things

Cite this Research Publication : Archudha Arjunasamy, S. Rathi, Relationship Based Heuristic for Selecting Friends in Social Internet of Things, Wireless Personal Communications, Springer Science and Business Media LLC, 2019, https://doi.org/10.1007/s11277-019-06344-8

Publisher : Springer Science and Business Media LLC

Year : 2017

Advanced Heuristics for Selecting Friends in Social Internet of Things

Cite this Research Publication : Thangarajan Ramasamy, Archudha Arjunasamy, Advanced Heuristics for Selecting Friends in Social Internet of Things, Wireless Personal Communications, Springer Science and Business Media LLC, 2017, https://doi.org/10.1007/s11277-017-4759-1

Publisher : Springer Science and Business Media LLC

Conference Proceedings

Year : 2024

AI-ML-Powered IoT approach for designing a smart wheelchair for individuals with disabilities

Cite this Research Publication : J. Kamalakumari, A. Archudha, R. Kiruthikaa, N. Saranya, S. Kaliappan, G. Pavithra, T. C. Manjunath, AI-ML-Powered IoT approach for designing a smart wheelchair for individuals with disabilities, AIP Conference Proceedings, AIP Publishing, 2024, https://doi.org/10.1063/5.0225355

Publisher : AIP Publishing

Year : 2016

A proficient heuristic for selecting friends in social Internet of Things

Cite this Research Publication : Archudha Arjunasamy, Thangarajan Ramasamy, A proficient heuristic for selecting friends in social Internet of Things, 2016 10th International Conference on Intelligent Systems and Control (ISCO), IEEE, 2016, https://doi.org/10.1109/isco.2016.7727014

Publisher : IEEE

Qualification
  • PhD (Year): 2016-2021
    Specialization: Information and Communication Engineering
    Thesis title: Heuristics for Friendship Selection in Social Internet of Things
  • M.Tech (Year): 2014-2016
    Specialization: Computer Science and Engineering
    Thesis title: Advanced Heuristics for Selecting Friends in Social Internet of Things
Experience
  • Post-doctoral Experience
    Post-doctoral Scholar
    Institute Post-doctoral Fellow
  • Current Position
    Assistant Professor, 2025
  • Past Position
    Assistant Professor, 2023
Courses taught
  • Social Network Analysis,2023, 4th Year, UG
  • Machine Learning Essentials,2024, 2nd Year UG
  • Research Methodology and IPR, 2024, 3rd Year, UG
  • Deep Learning,2025, 3rd Year, UG
Awards
  • “R&D and Academic Excellence Award” by Karpagam College of Engineering 2023.
Conferences Attended
  1. IEEE MysuruCON 2023
  2. IEEE Conference on Data Science and Network Security, 2024
  3. IEEE International Conference on Communications and Computer Science, 2024.
  4. Session Chair for International Conference on Recent Trends in Science, Technology and Management,2024.
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