Prof.(Dr.) Binsu C. Kovoor is a Professor in the Department of Information Technology, CUSAT with more than 25 years of experience. Her research interests include pattern recognition, computer vision, Data Security, and Big Data. She has over 40 research publications to her credit, and to date, four candidates have obtained Ph.D. degrees under her supervision. She has presented papers at several international conferences and serves as a reviewer for many national and international peer-reviewed journals. She is also a member of the technical program committee for many national and international conferences. She is the Chairperson of the Board of Studies for Information Technology at CUSAT and also serves as a Board of Studies member for various autonomous colleges. She is the former Head of the Department of Information Technology at CUSAT. She is a member of professional societies such as the Institution of Engineers, CSI, ISTE and ACM.

Affective Computing, Approximate Computing, Biometric Security, Computer Vision, Machine Learning, pattern recognition

Scopus	:	https://www.scopus.com/authid/detail.uri?authorId=57194778322
Google Scholar	:	https://scholar.google.com/citations?hl=en&user=WYpOVb8AAAAJ&view_op=list_works&sortby=pubdate

Dual-stage dynamic hierarchical attention framework for saliency-aware explainable diabetic retinopathy grading, Engineering Applications of Artificial Intelligence , Elsevier Vol. 148, 2025

Unifying convolution and transformer: a dual stage network equipped with cross-interactive multi-modal feature fusion and edge guidance for RGB-D salient object detection , Journal of Ambient Intelligence and Humanized Computing, Springer 2024

A state-of-the-art framework for Video Question Answering: A Survey” Journal of Visual Communication and Image Representation, Journal of Visual Communication and Image Representation, Elsevier 2024

Balancing Simplification and Detail Preservation in Low Poly Image Abstraction through Edge-Preserved Seed Point Generation, International Journal of Image, Graphics and Signal Processing., Vol. 16, 2024

Modelling and Stability Analysis of a Rumour Propagation Model with Sentiments as Microscopic Observation, Journal of Information and Knowledge Management, , Vol. 22, 2023

Visual Saliency Modeling with Deep Learning: A Comprehensive Review, Journal of Information and Knowledge Management, , Vol. 22, 2023

Object-Assisted Question Featurization and Multi-CNN Image Feature Fusion for Visual Question Answering, International Journal of Intelligent Information Technologies , IGI Global Vol. 19, 2023

GenSpecVidOnt: a reference ontology for knowledge based video analytics with multimodal genre detection, Multimedia Tools and Applications ,https://doi.org/10.1007/s11042-023-15040-6, Springer 2023

Parallel multi-head attention and term-weighted question embedding for medical visual question answering, Multimedia Tools and Applications https://doi.org/10.1007/s11042-023-14981-2, Springer 2023

Generative Inpainting of High-resolution Images: Redefined with Real-ESRGAN, International Journal on Artificial Intelligence Tools, Vol. 31, 2022

Explainable AI Insights into a Time Series Weather Prediction Model Using Stacked LSTM. , Data Science and Network Enginnering , NIT Agarthala Lecture notes in networks and systems, 2025

Explainable Transfer Learning for Maternal Fetal Plane classification, 9th international conference on Soft Computing Theories and Application at MNIT, Jaipur, Springer, 2024

A Video Question Answering framework for women’s safety in Metro Surveillance, IEEE 5th International Conference on Innovative Trends in Information Technology (ICITIIT), 2024

Lower-part Alternate-bit Truncated Approximate Adder for Power-efficient Edge Detection in Images, First International Conference on Communication Systems (ICOCS-2023) held at NIT Puducherry, 2024

DenseASPP Enriched Residual Network Towards Visual Saliency Prediction, International Conference on Computer Vision and Image Processing,, Communications in Computer and Information Science, 2022

The SEPNS Model of Rumor Propagation in Social Networks, Pervasive Computing and Social Networking and Lecture Notes in Networks and Systems, Springer, Vol. 317 , 0, 2022

Residual Decoder based U-Net for Semantic Segmentation, International Conference on Innovative Computing and Communications. and Advances in Intelligent Systems and Computing,, Springer, Vol. 1388 , 0, 2021

EEMD-Based Wind Speed Forecasting System Using Bidirctional LSTM Networks, IEEE 11th international Conference on Computer Communication and Informatics 2021, 2021

Convolutional Neural Network Based Malaria Parasite Infection Detection using Thin Microscopic Blood Smear Samples, , IEEE 2nd International Conference on Inventive Research in Computing Applications(ICIRCA 2020), 2020

Keyword Template based Semi- Supervised Topic Modelling in Tweets, International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, 2020

RESEARCH PROJECTS

"Enhanced Multimodal Biometric Security System" (TEQIP- 2013 -2014 , Total outlay Rs.50000)

"Bigdata Weather Forecasting Systems Using Deep Learning" (RUSA- 2023 -2025 , Total outlay Rs.4750254)