Farjana Ferdousi Tamanna

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About

Dr. Farjana Ferdousi Tamanna is a pioneering researcher at the intersection of human-computer interaction, biomedical engineering, and artificial intelligence. Her primary research focuses on developing intelligent prosthetic and assistive technologies, with a particular emphasis on EMG-controlled bionic systems. Her landmark 2020 paper, "EMG Controlled Bionic Robotic Arm using Artificial Intelligence and Machine Learning," has garnered 13 citations and established a foundational framework for integrating surface electromyography (sEMG) with machine learning algorithms to achieve precise, real-time gesture recognition. This work directly addresses the critical challenge of creating intuitive, non-invasive interfaces for controlling prosthetic limbs, enabling more natural and functional human-machine interaction. Dr. Tamanna's contributions are particularly notable for advancing the practical application of AI in biomedical devices, bridging the gap between theoretical gesture classification and real-world prosthetic control. Her research holds profound implications for improving the quality of life for amputees and individuals with motor impairments, showcasing how intelligent systems can restore dexterity and independence. Through her innovative approach, Dr. Tamanna is shaping the future of bionic technology and human augmentation.