Mr. Saad Ilyas is a seasoned faculty member holding a Master of Science in Data Science from the University of Malaya, Malaysia, and a Bachelor of Science in Computer Science from COMSATS Institute of Information Technology, Islamabad. With years of experience across both industry and academia, he brings a practical perspective to teaching and research. He has taught a range of courses in data science and computer science and supervised students on final year projects. As a Data Scientist and Computer Scientist, he has developed algorithms for data analysis and predictive modeling, as well as software applications utilizing Python, Java, and C++, alongside data analysis tools such as R, MATLAB, and SAS. He has published research papers in reputable peer-reviewed journals and conferences.

EDUCATIONAL QUALIFICATIONS

TEACHING EXPERIENCE

PROFESSIONAL EXPERIENCE

RESEARCH AREAS & INTERESTS

• Data Science
• Machine Learning
• Predictive Modeling
• Data Mining
• Big Data Analytics

JOURNAL PUBLICATIONS

1. Comparing motor cortex vs. cerebellar transcranial-direct current-stimulations (tDCS) as stroke-patient: a systematic review including meta-analysis (2024).
2. Comparison of a single session of tDCS on cerebellum vs. motor cortex in stroke patients: a randomized sham-controlled trial (2023).
3. Short term effects of anodal cerebellar vs. anodal cerebral transcranial direct current stimulation in stroke patients: a randomized control trial (2022).
4. Additional Effects of Xbox Kinect Training on Upper Limb Function in Chronic Stroke Patients: A Randomized Control Trial. Healthcare (2021).