Alina Banerjee is a dedicated researcher and academician specializing in Content-Based Video and Image Retrieval, Machine Learning, Deep Learning, and Optimization. She is currently pursuing her Ph.D.(Thesis Submitted) at Indira Gandhi Delhi Technical University for Women (IGDTUW), Delhi, after earning an M.Tech from Birla Institute of Technology, Mesra, and a B.Tech from Guru Gobind Singh Indraprastha University, New Delhi.
She is presently working as an Assistant Professor at K R Mangalam University, Gurugram.
She worked as an Assistant Professor at GD Goenka University, Gurugram, and serves as the International Office Coordinator. She previously held roles as Academic ERP In-Charge and Program Chair for BCA in Machine Learning and Data Analytics, where she contributed to curriculum development, student mentoring, and academic administration.
She has authored multiple Scopus and Web of Science-indexed publications, focusing on deep learning-based video retrieval, optimization techniques, and clustering methods. She has also presented at international conferences and won the Best Paper Award at AIST 2022.
Ms. Banerjee gained industry experience as a corporate trainer at CMC Ltd., Kolkata, and as a Software Engineer Trainee at Satyam Computers. She holds a Microsoft Certified Professional (MCP) certification and teaches subjects such as Advanced Machine Learning, Web Programming, and Computer System Architecture.
She remains committed to advancing AI-driven video retrieval, deep spatiotemporal features, and prototype learning for efficient data indexing and retrieval systems.
- PhD(Pursuing) from IGDTUW, Delhi
- MTech BIT Mesra – 2013
- BTech GGSSIPU – 2005
- KR Mangalam University – 5 months
- GD Goenka University – 9 Years
- WBUT – 3 Years
- CMC Ltd – 3 Years
- Alina Banerjee and Ambar Dutta, “Performance Comparison of Cosine, Haar, Walsh-Hadamard, Fourier and Wavelet Transforms for shape-based image retrieval using Fuzzy Similarity Measure”, Elsevier Procedia Technology, Vol. 10, 623 – 627, 2013.
- Alina Banerjee., Ravinder, M., & Ela Kumar. “Frame change detection in videos–challenges and research directions”. Artificial Intelligence and Speech Technology, 179-186, 2021.
- Alina Banerjee, Ela Kumar, and Ravinder M. “Conditional deep clustering based transformed spatio-temporal features and fused distance for efficient video retrieval.” International Journal of Information Technology 15.5 (2023): 2349-2355., 2023(Scopus indexed)
- Agrawal, Amrita, Deepika Garg, Dipesh Popli, Alina Banerjee, Atul Raj, and Iti Dikshit. “A review of spider monkey optimization: modification and its biomedical application.” International Journal on Interactive Design and Manufacturing (IJIDeM) (2023): 1-22. (Scopus indexed IF=2.1)
- Alina Banerjee, Ela Kumar, and Ravinder M. “Particle swarm optimized deep spatio-temporal features for efficient video retrieval.” International Journal of Information Technology 16.3 (2024): 1763-1768. (Scopus indexed)
- Alina Banerjee, Ela Kumar, and M. Ravinder. “Learning clustered deep spatio-temporal prototypes using softmax regression for video information systems.” International Journal of Information Technology 16.5 (2024): 3085-3091. (Scopus indexed)
- Alina Banerjee, Ela Kumar, and Ravinder Megavath. “Learning optimal deep prototypes for video retrieval systems with hybrid SVM-softmax layer.” International Journal of Data Science and Analytics (2024): 1-11. (ESCI indexed IF=2.6, WOS)
- Alina Banerjee, Ravinder Megavath, Ela Kumar, “Opposition-based optimized max pooled 3D convolutional features for action video retrieval”. Int. j. inf. tecnol. (2024). https://doi.org/10.1007/s41870-024-02102-7 (Scopus indexed)
- Alina Banerjee, Deepika Garg, Rachita Sethi, Mir Mohsin John, “Enhanced Redundancy Allocation in Biomedical Manufacturing using Opposition-Based Grey Wolf Optimizer”, International Journal of Simulation and Process Modelling (2024) (Scopus Indexed) (Accepted)
