Ahmed Almaghasilah
Education
- B.S in Electrical Engineering with math minor – UMaine 2016
- M.S in Electrical Engineering with a focus on Wireless and Communication – UMaine 2018
- Thesis: Wireless Sensor System for Mild Cognitive Impairment Diagnosis
Brief Biography
I am a second year PhD student in the Graduate School of Biomedical Science and Engineering program at University of Maine. My Master’s thesis focused on diagnosing the early sign of mild cognitive impairment, through piezoresistive sensors that capture sleep signals, to halt or treat the progression of Alzheimer’s Disease before it escalates and becomes severe. Prior to joining the GSBSE program, I was developing gradient tracking mathematical models for G-Protein Coupled Receptor (GPCR) signaling pathways in Saccharomyces cerevisiae at Dr. Joshua Kelley’s lab at the University of Maine.
My current research, performed under Dr. Clarissa Henry supervision, focuses on the molecular, cellular and genetic basis of muscular myopathies and dystrophies such as Duchenne Muscular Disease. The Henry Lab utilizes the zebrafish model and CRISPR Cas9 technology to mimic human muscle dystrophies. The Henry Lab images muscle fiber fluorescence and
neuromuscular junction (NMJ) images on a confocal Leica SP8 microscope. To quantify our research, I train Deeplab v3+ network , a convolutional neural network (CNN) designed for semantic image segmentation, with a pre-trained Resnet-50 network to automate the process.
