Howida A. Shedeed
Papers
9
Total Citations
116
H-Index
6
About
Dr. Howida A. Shedeed is a pioneering researcher at the intersection of biomedical engineering, artificial intelligence, and nanotechnology, whose work is forging new pathways in both neurorehabilitation and targeted cancer therapy. Her primary research areas encompass Brain-Computer Interfaces (BCI), EEG signal processing, and swarm-intelligence-driven nanorobotics. Dr. Shedeed’s most influential contribution is her seminal 2013 paper on using brain EEG signals to control a robotic arm, which has garnered 61 citations and laid foundational methods for non-muscular communication channels in motor-impaired patients. She has significantly advanced this field by developing novel data normalization techniques for EEG classification, as detailed in her 2016 work (12 citations), and by extending her analysis to recognize specific hand movements (2023, 9 citations), directly aiding motor rehabilitation. In a parallel stream of innovation, Dr. Shedeed has introduced a groundbreaking strategy for cancer treatment, employing Directed Particle Swarm Optimization (DPSO) and Quorum Sensing techniques to guide nanorobots precisely to tumor sites, thereby minimizing the harmful side effects of conventional therapies. Her comparative studies of the Jaya and DPSO algorithms (2020) further demonstrate her commitment to optimizing drug delivery systems. With a growing body of work that bridges computational intelligence and life-saving medical applications, Dr. Shedeed stands as a leading figure in the quest to restore human function and combat disease.
Research Focus
Key Achievements
Top Papers
- 1Brain EEG signal processing for controlling a robotic arm61 citations · 2013
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- 4Recognizing Hand Movements Using EEG-Signal Classification9 citations · 2023
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- 6Directed jaya algorithm for delivering nano-robots to cancer area8 citations · 2020
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- 93D Reconstruction from JPG Images1 citations · 2025