Book

1. Subashini, P., Lalitha, P., Janani, R., Janifer, M.B., Mohana, M., (2024). Python for Chemistry (Yet to be Published)

Book Chapters

1. M.Mohana, (2024). Convolutional Neural Networks and Explainability with XAI in Medical Image Analysis , Cutting-edge Computational Intelligent in Healthcare with Convolution and Kronecker Convolutional based approaches, Elsevier (In process)
2. M.Mohana*, Aleph Campos da Silveira*, P.Subashini, Gheorghita Ghinea,Celso Alberto Saibel Santos, (2024). Technology Enhanced Mulsemedia Learning (TEML) Through Design for Learners with Dyslexia for Enhancing the Quality of Experience(QoE), In: Huang, R., Liu, D., Adarkwah, M.A., Wang, H., Shehata, B. (eds) Envisioning the Future of Education Through Design. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-97-0076-9_10
3. M., Mohana, Nandhini K., and Subashini P (2022). Review on Artificial Intelligence and Robots in STEAM Education for Early Childhood Development: The State-of-the-Art Tools and Applications. In A. Betts & K. Thai (Eds.), Handbook of Research on Innovative Approaches to Early Childhood Development and School Readiness (pp. 468-498). IGI Global. https://doi.org/10.4018/978-1-7998-8649-5.ch019

Journals

1. Mohana Murugan, Parthasarathy Subashini, Gheorghita Ghinea, (2024). XAI: Explainable-based Deep Semi-Supervised Convolutional Sparse Autoencoder for Enhancing Facial Expression Recognition , Signal, Image, and Video Processing, Springer (Under Review)
2. Mohana Murugan, Aleph Campos da Silveira, Parthasarathy Subashini, Celso Alberto Saibel Santos, Gheorghita Ghinea, (2024).Towards Enhancing STEM Learner Experience by Leveraging Mulsemedia Technology , Multimedia Tools and Application, Springer (Under Review)
3. Mohana, M., P.Subashini, P., (2024). Performance Comparison of Autoencoders in Facial Emotion Recognition from Facial Expression, Neural Processing Letter, Springer (Under Review)
4. Divyasri, S., Mohana*, M., Dhivyaprabha, T.T., Subashini, P.,(2024). Empowering Young Learners: M-Learning Application with Adaptive Learning and CCI Standards, International Journal of Technology Enhanced Learning, Inderscience Publishers. (Accepted for Publication)
5. Mohana, M., Subashini, P., (2024) Facial Expression Recognition Using Machine Learning and Deep Learning Techniques: A Systematic Review, SN COMPUT. SCI. 5, 432 (2024). https://doi.org/10.1007/s42979-024-02792-7
6. Mohana, M., Subashini, P., & Shukla, D. (2024) Revisiting face detection: Supercharging Viola-Jones with particle swarm optimization for enhanced performance. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-15. https://doi.org/10.3233/JIFS-238947
7. Mohana, M.,Subashini, P., (2024) Analysing the Performance of Viola-Jones and Multi-Task Convolution Neural Network (MTCNN) Face Detection algorithms using video sequences. International Journal of Computational Vision and Robotics. Inderscience Publishers, (Article in Press), https://doi.org/10.1504/IJCVR.2024.10061831
8. Mohana, M., Subashini, P., & Krishnaveni, M. (2023). Emotion Recognition from Facial Expression Using Hybrid cnn–lstm Network. Int. J. Pattern Recognit. Artif. Intell, 37(8), 2356008. https://doi.org/10.1142/S0218001423560086

Conferences

1. Mohana, M., da Silveira, A.C., Subashini, P., Santos, C.A.S., Ghinea, G. (2023). Technology Enhanced Mulsemedia Learning: Insights of an Evaluation. In: da Silva, H.P., Cipresso, P. (eds) Computer-Human Interaction Research and Applications. CHIRA 2023. Communications in Computer and Information Science, vol 1997. Springer, Cham. https://doi.org/10.1007/978-3-031-49368-3_3
2. Mohana, M., Valliammal, N., Suvetha, V., Krishnaveni, M., Subashini, P., & Ghinea, G. (2023). A Study on Technology-Enhanced Mulsemedia Learning for Enhancing Learner's Experience in E-Learning. In 2023 International Conference on Network, Multimedia and Information Technology (NMITCON) (pp. 01-06). IEEE. https://doi.org/10.1109/NMITCON58196.2023.10275964.
3. Mohana, M., Subashini, P. (2023). Convolutional Sparse Autoencoder for Emotion Recognition. In: Hassanien, A.E., et al. The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023. AICV 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-031-27762-7_1
4. Mohana, M., & Subashini, P. (2023). Emotion Recognition using Deep Stacked Autoencoder with Softmax Classifier . In 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) (pp. 864-872). IEEE. https://doi.org/10.1109/ICAIS56108.2023.10073937.
5. Mohana, M., & Subashini, P. (2023). Emotion Recognition using Autoencoders: A Systematic Review. In 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS) (pp. 438-443). IEEE. https://doi.org/10.1109/ICISCoIS56541.2023.10100563.

Workshop

1. Mohana, M., Da Silveira, A. C., Suvetha, V., Subashini, P., Ghinea, G., & Santos, C. A. S. (2023). Technology Enhanced Mulsemedia Learning (TEML) for Learners with Dyslexia . In Proceedings of the 2023 ACM International Conference on Interactive Media Experiences Workshops (pp. 62-65). https://doi.org/10.1145/3604321.3604357

Mulsemedia in Education

Deliver seminar at Short Term Capacity Building Programme on Artificial Intelligence in Education, Avinashilingam University

Chat-GPT in Education

Deliver seminar at Short-Term Capacity Building Programme on Artificial Intelligence in Education, Avinashilingam University

Knowledge sharing with Research Scholars in Avinashilingam University

Conducted one day Workshop on how to use Systematic Review and Meta-Analysis (SRMA) methodologies, including PRISMA guidelines, for writing review papers.

Guest Speaker

Contacted a workshop on Data Analytics using Excel, GASC College

Guest Speaker

Delivered lecture on Artificial Intelligence and Career Opportunities, GASC College