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Dr.Syed Ahad Murtaza Alvi

Lecturer

Lecturer

كلية علوم الحاسب والمعلومات فرع المزاحمية
College Of Applied Computer Science,King Saud University, Riyadh, Kingdom of Saudi Arabia

introduction/brief CV

Dr. Syed Ahad Murtaza Alvi, an IBM-certified Artificial Intelligence Trainer, serves as a Lecturer at the College of Applied Computer Sciences, King Saud University, Saudi Arabia. He holds a PhD in Computer Science, along with Bachelor’s and Master’s degrees in the same field, and brings over a decade of academic experience.

Dr. Syed Ahad is the author of the book Learning Input Output Functions of Machine Learning and has published numerous research papers in prestigious international journals, including IEEE and WOS Q2-ranked publications. He has also actively participated in several international conferences and seminars and is the holder of Canadian copyrights and an Indian patent.

areas of expertise

Articial Intelligence

Cybersecurity

Data Science

publications
see all

publications

A significant amount of different data is currently being generated all over the world as a result of the advancements that are currently taking place in the field of information technology.

by Dr.Syed Ahad Murtaza Alvi & others
2023
publications

The present invention relates to the intelligent and secure IoT response to a patient and, more specifically, to a ventilator monitor system that receives a variety of fan supports signals showing…

2021
publications

Detection and prediction of infectious disease is a very challenging task due to the lack of substantial evidence of the disease and its behaviours. The effective infection prevention mechanisms…

2021
Published in:
IEEE

courses
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course

Artificial Intelligence

course

Cybersecurity

course

Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory. It characterizes networked structures in terms of nodes (individual…

office hours

Saturday Sunday Monday Tuesday Wednesday Thursday Friday
from _ _ 10:00 AM _ _ _ _
to _ _ 12:00 PM _ _ _ _
location _ _ S 47 KSU CACS S 47 KSU CACS _ _ _ _