I am a Marie Skłodowska-Curie COFUND (FutureData4EU) PhD Fellow working on the project “AI-based Neurobiological Phenotyping of Patients with Expansion Repeats and Brain Disorders,” which develops an AI-driven platform integrating genomic, epigenetic, multimodal MRI, and clinical data to improve diagnosis, classification, and prognosis of neurodegenerative diseases such as Huntington’s disease, Amyotrophic Lateral Sclerosis, Myotonic Dystrophies, Alzheimer’s disease, and Spinocerebellar Ataxias. I hold a graduate degree in Computer Science from NCBA&E Multan (September 2022, CGPA 3.55/4.0) and have a strong interest in optimizing smart transportation systems, machine learning, deep learning, medical disease detection, and data science. I have published more than 30 research articles in reputed journals and conferences and maintain an active Google Scholar profile (AWAD BINNAEEM). My publications span intelligent road management systems for autonomous, non-autonomous, and VIP vehicles; early gender identification of date palm using machine learning; systematic literature reviews of routing protocols in MANET for disaster management; comparative analyses of algorithms for breast cancer diagnosis; improved hybrid routing approaches for MANET disaster management; private cloud hybrid architectures for secure data communication; uncovering spam on Twitter using machine learning; and hypothyroidism disease diagnosis using machine learning algorithms. I have also contributed to AI-guided analysis of cough sounds for COVID-19 screening. Building on my master’s thesis on road transportation systems, I combine academic and industry experience: three years as Senior Web Developer at Infinite Byte IT Solution Multan, one year as Web Developer at Mux, one year as Lecturer at the Virtual University Multan City Campus, three years as Senior IT Lecturer at Exclusive International Multan, and most recently (2022–2024) as Lecturer at the National College of Business Administration and Economics.
