Dr. Ismail Keshta

Ismail Keshta received his B.Sc. and the M.Sc. degrees in computer engineering and his Ph.D. in computer science and engineering from the King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, in 2009, 2011, and 2016, respectively. He was a lecturer in the Computer Engineering Department of KFUPM from 2012 to 2016. Prior to that, in 2011, he was a lecturer in Princess Nourahbint Abdulrahman University and Imam Muhammad ibn Saud Islamic University, Riyadh, Saudi Arabia. He is currently an assistant professor in the computer science and information systems department of Al Maarefa University, Riyadh, Saudi Arabia. His research interests include software process improvement, modeling, and intelligent systems.

Ebooks

DATA STRUCTURES FOR MODERN APPLICATIONS

Internet of Things (IoT): Principles and Applications in Engineering

MORPHOLOGICAL IMAGE PROCESSING AND INTENSITY TRANSFORMATIONS

BLOCKCHAIN AND THE INTERNET OF THINGS (IOT): A CONVERGENCE OF TECHNOLOGIES

PRACTICAL MACHINE LEARNING APPLICATIONS

APPLICATIONS BEYOND CRYPTOCURRENCIES - NON-FINANCIAL USE CASES FOR BLOCKCHAIN TECHNOLOGY

AI, IOT AND MACHINE LEARNING BASICS

FUTURE TRENDS IN BLOCKCHAIN SCALABILITY, INTEROPARABILITY, AND BEYOND MACHINE LEARNING

INTERPRETABLE AI: TECHNIQUES FOR MAKING MACHINE LEARNING MODELS TRANSPARENT

DEEP LEARNING FOR DATA MINING UNVEILING COMPLEX PATTERNS WITH NEURAL NETWORKS

REINFORCEMENT LEARNING: FOUNDATIONS, ALGORITHMS AND APPLICATIONS

CLIMATE CHANGE IMPACT ASSESSMENT ON AGRICULTURE WITH ML

MACHINE LEARNING FOR IMAGE GENERATION AND STYLE TRANSFER

QUANTUM COMPUTING FOR BEGINNERS

REINFORCEMENT LEARNING FUNDAMENTALS - LEARNING THROUGH REWARDS AND PUNISHMENTS

BLOCKCHAIN FUNDAMENTALS CORE AND CONCEPTS AND DECENTRALIZED LEDGER TECHNOLOGY

HEALTHCARE SOLUTIONS USING MACHINE LEARNING