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Saad Ilyas

Saad Ilyas

Senior Lecturer
Department of Artificial Intelligence

Profile summary

Mr. Saad Ilyas is a seasoned faculty member with a Master of Science in Data Science from the University of Malaya, Malaysia, and a Bachelor of Science in Computer Science. With years of experience in both industry and academia, He brings a unique perspective to teaching and research.

He has taught a range of courses related to data science and computer science, In addition to teaching, Saad has supervised students on final year projects related to data science and computer science.

As a Data Scientist, Saad has developed and implemented algorithms for data analysis and predictive modeling, and as a Computer Scientist, Saad has developed software applications utilizing skills in programming languages such as Java, Python, and C++. Saad has also conducted research in the field of data science, with a focus on machine learning and predictive modeling, and has published research papers in reputable journals and conferences.

With a strong foundation in programming languages such as Python, Java, and C++, and experience using data analysis tools such as R, MATLAB, and SAS.

Qualification

Degree Field Institution Year
MS Data Science University of Malaya, Kuala Lumpur, Malaysia
Ranked 59th in QS World University Rankings
2018
BS Computer Science COMSATS Institute of Information Technology, Islamabad 2015

Teaching Experience

Position Institution Duration
Senior Lecturer Shifa Tameer-e-Millat University, Islamabad Since 2022
Lecturer Capital University of Science & Technology (Islamabad) 2021-2022
Lecturer University of Central Punjab (Lahore) 2019-2021

Professional Experience

Position Organization Duration
Android Developer and Software Developer Triple I International (Islamabad) 2015-2017

Research Areas / Interests

No. Research Area / Interest
1. Data Science
2. Machine Learning
3. Predictive Modeling
4. Data Mining
5. Big Data Analytics

Journal Publications

No. Title
1. Comparing motor cortex vs. cerebellar transcranial-direct current-stimulations (tDCS) as stroke-patient the 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)