National Institute of Technology Rourkela | India

Mr. Sandesh Aryal holds a B.Tech in Electronics and Communication Engineering from the National Institute of Technology Rourkela (2021-2025) and has rapidly emerged as a research innovator in the domain of deep-learning–based biomedical image analysis. His work focuses on the classification of white blood cells via attention-augmented convolutional networks. His standout publication, “AFMNet: Adaptive Feature Modulation Network for Classification of White Blood Cells”, was published in Biocybernetics and Biomedical Engineering, and leverages adaptive spatial–channel feature modulation to achieve state-of-the-art classification performance. (Citation data: the article is indexed on ScienceDirect and ResearchGate.) His research interest spans machine learning, computer vision, biomedical signal processing, and image-based disease diagnostics. During his internship at Nepal Telecom, he gained practical exposure to wireless, transmission and power systems, complementing his core computational skills. His scholarship-supported undergraduate tenure and leadership roles (such as captain of his institute’s volleyball team) reflect a combination of technical excellence and organisational ability. With a proven ability to translate deep learning methods into biomedical applications, Sandesh is poised to contribute significantly to the intersection of AI and healthcare diagnostics.