Cellular Automata, Machine Learning, Deep Learning.

1. First rank holder (Gold Medalist ) in Master of Engineering (Department of Computer Science and Engineering)
2. Achieved prestigious Visvesvaraya Fellowship during Ph.D
3. Visited University of Turku, Finland on the project “Exploring Cellular Automata Model for Hardware Security” for research collaboration of IIEST, Shibpur with University of Turku, Finland sponsored by SPARC project, MHRD, Govt. of India
4. GATE scholarship from MHRD during M.E
5. Best Paper award in International Conference on Advances in Data Science and Computing Technologies (ADSC 2022)
6. Selection of Ph.D. thesis work at PhD forum in Second Asian Symposium on Cellular Automata Technology (ASCAT 2023).
7. Outstanding paper award in Engineering and Technology including Emerging Technologies of 6th Regional Science & Technology Congress (2023-2024) 
8. Awarded Short Research Trip to France (SRTF) under the Scientific High Level Visiting Fellowships (SSHN) programme funded by the French Institute in India (IFI), Embassy of France in India to work on higher order cellular automata under prof. Enrico Formenti in Université Côte d’Azur
9. Invited as research fellow in University of Turku, Finland by Prof. Jarkko Kari to work on non-uniform cellular automata from 1.10.2025 to 31.10.2025

PUBLISHED JOURNALS 

1. Paty, Soumyadeep, and Supreeti Kamilya. "Identification of different types of rocks and ores using cellular automata assisted CNN models: an application of mining Industry." Natural Computing 25, no. 1 (2026): 14. 
2. Shamama Anwar, Prashant Pranav, and Supreeti Kamilya. "Light weight encryption technique: a cellular automaton based approach for securing health records." Scientific Reports 15.1 (2025): 23945. doi: https://doi.org/10.1038/s41598-025-07674-3.
3. S A. Twinkle, S. Kamilya, J. Mukherjee, “EchoCNN-Denoiser: A Reservoir Computing Inspired Deep Learning Model For Enhanced SAR Image Despeckling”, Journal of Applied Remote Sensing 19.2 (2025): 026501-026501.
4. S. Karmakar, S. Kamilya, C. Koley, and T. Pal, “A deep learning technique for real time detection of cognitive load using optimal number of eeg electrodes,” IEEE Transactions on Instrumentation Measurement, vol 74 (2502311), 2025.
5. S. Paty, A. Biswas, S. Kamilya, S. djebali, and G. Guérard, “Iot-enabled methane monitoring and lstm-based forecasting system for enhanced safety in underground coal mining,” ACM Transactions on Internet of Things, Nov. 2024.  doi: 10.1145/3703460.
6. S. Karmakar, S. Kamilya, P. Dey, et al., “Real time detection of cognitive load using fnirs: A deep learning approach,” Biomedical Signal Processing and Control, vol. 80, p. 104 227, 2023.
7. S. Paty and S. Kamilya, “A cellular automaton-based technique for estimating mineral resources.,” Complex Systems, vol. 32, no. 2, 2023.
8. S. Kamilya, S. Das, and B. K. Sikdar, “Simulation of non-uniform cellular automata by classical cellular automata and its application in embedded systems.,” Journal of Cellular Automata, vol. 16, 2021.
9. S. Kamilya and J. Kari, “Nilpotency and periodic points in non-uniform cellular automata,” Acta Informatica, vol. 58, no. 4, pp. 319–333, 2021.
10. S. Kamilya, S. Adak, S. Das, and B. K. Sikdar, “Sacas:(non-uniform) cellular automata that converge to a single fixed point.,” Journal of Cellular Automata, vol. 14, 2019.
11. S. Kamilya and S. Das, “A study of chaos in non-uniform cellular automata,” Communications in Nonlinear Science and Numerical Simulation, vol. 76, pp. 116–131, 2019.
12. S. Kamilya and S. Das, “A study of chaos in cellular automata,” International Journal of Bifurcation and Chaos, vol. 28, no. 03, p. 1 830 008, 2018.

INTERNATIONAL CONFERENCES (PUBLISHED)

1. Md R. Ansari, S. Kamilya, and S. Anwar. "Assessing Cognitive Load Levels via TAR-Based EEG Analysis and Machine Learning Models." In 2025 IEEE Silchar Subsection Conference (SILCON), pp. 1-4. IEEE, 2025. (DOI: 10.1109/SILCON67893.2025.11327253)
2. S Kamilya, and S Paty. "Quantum Dot Cellular Automata: Breaking Barriers in Electronics Circuitry for Tomorrow’s Technologies." In Advances in Quantum Inspired Artificial Intelligence: Techniques and Applications, pp. 51-66. Cham: Springer Nature Switzerland, 2025.
3. S. A. Twinkle, S. Kamilya, and J. Mukherjee, “Despeckling Images using Elementary Cellular Automata”, accepted in Fourth Asian Symposium on Cellular Automata Technology, Springer, 2025.  
4. S. Kamilya, H. Ritesh, C. S Vinod, S. Karmakar, T. Pal, “Subject-Specific Temporal Analysis of Cognitive Load Using fNIRS: A Machine Learning Approach”, accepted in Computing Conference, Springer, 2025.
5. E. Formenti and S. Kamilya, “On second order elementary cellular automata,” in Third Asian Symposium on Cellular Automata Technology, Springer, 2024.
6. S. Paty and S. Kamilya, “Rock image classification using cnn assisted with pre-processed cellular automata-based grain detected images,” in Third Asian Symposium on Cellular Automata Technology, Springer, 2024.
7. S. A. Twinkle, S. Kamilya, and J. Mukherjee, “Edge Preserving Multiplicative Noise removal of SAR Images through Convolutional Neural Network  and Anisotropic Diffusion,” in 2024 IEEE India Geoscience and Remote Sensing Symposium, IEEE, 2024.
8.  S. Paty, S. Adak, and S. Kamilya, “A cellular automata-based approach on assessment of thickness of stratified mineral deposits,” in Proceedings of Second Asian Symposium on Cellular Automata Technology: ASCAT 2023, Springer, 2023, pp. 105–114.
9. V. Sarraju, P. Jaya, and S. Kamilya, “SRS: Gender-based heart disease prediction using stratified random sampling approach,” in Machine Intelligence with Applications (ICMIA), AIP Proceedings, 2023.
10. S. Paty and S. Kamilya, “Grade estimation of mineral resources: An application of cellular automata,” in Proceedings of First Asian Symposium on Cellular Automata Technology: ASCAT 2022, Springer, 2022, pp. 45–54.
11. S. Paty and S. Kamilya, “Identification of rock images in mining industry: An application of deep learning technique,” in International Conference on Advances in Data Science and Computing Technologies, Springer, 2022, pp. 235–242.
12. S. Kamilya and S. Paty, “Detection of chaotic cellular automata using convolutional neural networks: A comparative study,” in International Conference on Advances in Data Science and Computing Technologies, Springer, 2022, pp. 667–676.
13. V. Sarraju, P. Jaya, and S. Kamilya, “Performance analysis of supervised learning algorithms on different applications,” in 9th International Conference on Foundations of Computer Science & Technology (CST 2022), AIRCC, vol. 12, 2022.
14. S. Kamilya, “A universal platform that emulates any cellular automaton,” in 2018 Fifth International Conference on Emerging Applications of Information Technology (EAIT), IEEE, 2018, pp. 1–4.
15. B. Das, S. Kamilya, and B. K. Sikdar, “Design of ca based scheme for evenhanded data migration in cmps,” in 2016 Sixth International Symposium on Embedded Computing and System Design (ISED), IEEE, 2016, pp. 117–121.

ACM Membership

1. Project Title: Study on biomedical terahertz imaging based on wide-band gap semiconductor IMATT source

Funding Agency and Role: Research Centre of Biomedical Engineering, Tokyo Medical and Dental University, Japan. (Role - Co-PI)

Amount: JPY 300,000       

Status Complete

Duration: 2023 – 2024

2. Project Title: Spatio-temporal predictive modelling of mental well-being using GIS, climate and environmental determinants in India

Funding Agency: DHR (ICMR),

Role: Co-PI

Amount: 2.42 Crore INR

Status: Ongoing

Duration: 3 years (25.03.2026 – 25.03.2029)  

1. Kamilya, S., A. Biswas, and S. Peng, Water Informatics: Challenges and Solutions Using State of Art Technologies (Water Informatics for Water Resource Management). Springer Nature Singapore, 2024, isbn: 9789819715176. url: https://books.google.co.in/books?id=QUqS0AEACAAJ.
2. Supreeti Kamilya, Sukanta Das, Enrico Formenti. Cellular Automata Technology. 4th Asian
   Symposium, ASCAT 2025. Communications in Computer and Information Science, volume 2499. DOI:
   https://doi.org/10.1007/978-3-031-94121-4. ISBN: 978-3-031-94120-7. url: https://link.springer.com/book/10.1007/978-3-031-94121-4

Indian Patent 

Patent No: 408037-001

Status: Granted

Date of Grant: 19/02/2024

Title: Device for Soil Testing

Name of Inventors: Gurudas Mandal,  Santu Mondal, Supreeti Kamilya, Sheuli Chakraborty, Mrinal Kanti Sarkar, Arindam Biswas

1. Program Committee member in  Asian Symposium on Cellular Automata Technology 2023.
2. Program Committee member in  Asian Symposium on Cellular Automata Technology 2024.
3. Program Chair/Convenor in Fourth  Asian Symposium on Cellular Automata Technology 2025.