Hardworking, honest and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to achieve organizational goals.
Role: JRF/ SRF (National Scholar)
Funded Project by- Science and Engineering Research Board, (DST) India
Project Title: Development of an Automated Intelligent System to comprehend Non-Communicable Autistic Expression
Project Code: ECR/2016/001085 (2016 -2019)
PI : Dr. Shouvik Dey
Journals
1.Banerjee R, De S, Dey S, “A Survey on Various Deep Learning Algorithms for an Efficient Facial Expression Recognition System”- International Journal of Image and Graphics Vol. 22, No. 1 (2021) [Scopus]
2. Banerjee R, De S, Dey S.,” A Novel Facial Expression Recognition System using BMCSA based Adaptive Neuro-Fuzzy Inference System”. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 2021 Nov 5. [SCIE]
3. Banerjee R, De S, Dey S. ,”WTAOF-ILPB Based Feature Learning and LFSSOA-RBFNN Based Classification for Facial Micro-Expression Recognition.” Wireless Personal Communications. 2021 Aug 20:1-20.[SCIE]
4. Banerjee R, De S, Dey S. ,”Human Emotion Recognition from Body Movements with the Help of Deep Learning and Effective Dimensionality Reduction Technique” , Multimedia Tools and Applications[Communicated]
Book Chapter
1. Banerjee R, De S, Dey S, “ A Behavioural Model for Persons with Autism based on Relevant Case Studies”, Computational Intelligence for Human Action Recognition, https://doi.org/10.1201/9780429061486 (Taylor & Francis)
2. Dey, P., Adhikari, S. K., De, S., & Banerjee, R. (2024). Applications of Internet of Things and Machine Learning Technologies in Healthcare. In Internet of Things-Based Machine Learning in Healthcare (pp. 1-18). Chapman and Hall/CRC.
Conferences
1. Banerjee R, De S, Dey S, “A hybrid multi-layered PCA-Eigenfaces system for facial emotion recognition of persons with Autism”, International Conference on Emerging Trends in Engineering and Technology (ICETET 2019), 2019.