Research

    Mission                  

To provide high quality

training's and support to both

staff and students

in

research and innovation.

Goals

2023-2024 Semester 2 (452)

23 JAN - 24

Collaborative Recommender Systems: Similarity Computation and Learning

12:00pm – 1:00pm

Recommender systems proactively recommend relevant items to users. When appropriate. “Proactively” means the items just show up — users don’t need to search for them or even be aware of their existence. “Relevant” means users tend to engage with them when they show up. What exactly “engage with them” means depends on the context. For movies, engage might mean watch; for products buy. “When appropriate” is key, this is also where “intelligence” comes in.

B13 Room: 1-2-72

Dr. Mohammed Yahya AlShamri, Associate Professor, Computer Engineering

30 JAN - 24

Signals and Images PROCESSING: Information Systems for serious pathologies' Exploring

12:00pm – 1:00pm

Signal processing is a broad engineering discipline that is concerned with extracting, manipulating, and storing information embedded in complex signals and images. Methods of signal processing include: data compression; analog-to-digital conversion; signal and image reconstruction/restoration; adaptive filtering; distributed sensing and processing; and automated pattern analysis. 

B13 Room: 1-2-72

Prof. Ahmed ElMokhtar Ben Hmida, Professor, Information Systems

06 FEB - 24

Fuzzy analytical hierarchy process (Fuzzy AHP) and full consistency method (FUCOM)

12:00pm – 1:00pm

The research presents a fuzzy analytical hierarchy process (Fuzzy AHP) and full consistency method (FUCOM) to rank the relative importance of factors (set of variable) and their dimensions in any domain of interest.

B13 Room: 1-2-72

Dr. Naim Ahmad, Assistant Professor, Informatics and Computer Systems

How it works

    Mission

                            Aspire to develop scientific research skills among faculty members and graduate students in the field of computing and informatics.

2023-2024 Semester 1 (451)

01 NOV - 23

Detecting Crypto-Ransomware in loT Networks based on Energy Consumption Footprint 

03:00pm – 03:30pm

Publisher: Springer 
Journal: Journal of Ambient Intelligence and Humanized Computing

Hall 31-G, PG Building

Amjad Saeed Al Raiza , Student - Information Systems

01 NOV - 23

Heterogeneous programming using OpenMP and CUDA/HIP for hybrid CPU-GPU scientific applications

03:45pm – 04:15pm

Publisher: Sage Journals.
Journal: The International Journal of High Performance Computing Applications

Hall 31-G, PG Building

 Zahra Fouad Sheekheen, Student - Computer Engineering

08 NOV - 23

Efficient Data-Driven Machine Learning Models for Cardiovascular Diseases Risk Prediction

03:00pm – 03:30pm

Publisher: MDPI
Journal: Sensors

Hall 31-G, PG Building

Asma Mubarak Alqahtani, Student - Computer Science

Promising AI Research Tools Based on Advanced Methodologies Dedicated to Health Monitoring

Software based Artificial Intelligence for 

COVID 19 - Prognosis

Classification and Detection of Malicious Attacks in Health Care

Advanced research for Medicine of nowadays is growing rapidly by using new technologies based on Artificial Intelligence ‘AI’ Techniques that could be efficiently maneuvered in order to provide very useful Diagnosis Aided Platforms ‘DAP’. This wide research field for various and serious pathologies aims to offer important health monitoring tools that could automatize different clinical actions facilitating rapid and exhaustive pathological exploration. ‘AI’ techniques for medicine needs concerns mainly the Medical Images’ Processing

Medical imaging plays a pivotal role in pathology detection and treatment due to its multifaceted advantages and growing array of applications. These imaging modalities offer invaluable insights into tissue characteristics and functions while minimizing invasive procedures for patients. Furthermore, the expanding adoption of digital medical records for the storage and management of patient health data, especially medical images, is propelling the healthcare software sector. Medical image analysis tools are emerging as indispensable assets for hospitals and clinics

The IoT interface must be monitored almost in real time in order to ensure the safety and security of productive activities. An intrusion detection system (IDS) is one of the prominent forms of network security technology that is used to safeguard the network. When confronted with the unpredictability of n/w technology and the diverse array of attack techniques, ML methodologies based intrusion detection systems seem useless. The use of deep learning strategies has shown the capability of accurately spotting intrusion anomalies in a broad range of scientific disciplines. 

Project Head:

Project Head:

Project Head:

ahmida@kku.edu.sa

nkraiem@kku.edu.sa 

prigues@kku.edu.sa 

Deep learning techniques to design an algorithm to secure enterprise documents against tampering and counterfeiting

IoT based Advanced Intelligent Hospital Management System

Investigation of heat dissipation in FinFET devices

In today's world, information security is a critical responsibility. With the rapid development of Internet technologies such as the Internet of Things (IoT), big data, and cloud computing, individuals, government officials, and the military are encountering data security issues. With the rapid growth of data, researchers face a difficult issue in determining how to safely and effectively manage enormous amounts of data while building smart cities. The proposed algorithm determines whether or not the digital content has been tampered with. While the document features are kept, the produced code is spread to every pixel of the document, not just in non-interest pixels.

The healthcare sector in this post-pandemic is currently facing a number of difficulties, including an inefficient workflow and serious concern of the public hesitant towards hospitals as considering a safe environment for further aversion of any contamination. Hospitals are one of the most essential and unavoidable things for the human health diagnostics but pandemic turns even hospitals into a harmful zone where people are highly worried about virus spread and other contaminants. Hence, this project proposal is made as a post pandemic Initiative to storm as a breakthrough for the health care industry by using RFID based MegaTag and Real Time Location Services RTLS solution (RTLS) towards the high safety filled Hospital Management Systems (HMS).

Heat transfer problems in integrated circuits and especially in FinFET and MOSFET devices have a great importance in the semiconductor manufacturing in the last few years. Due to the continuous reduction of the channel length in nano transistors, the heat source becomes very important in nano transistors. To define the losses during energy consumption, two components have been identified; Dynamic power during uses and heat losses due to energy consumption. To solve this problem, a thermal and electrical study is necessary to reduce or eliminate the parasitic effects of energy consumption in nano transistors.

Project Head:

Project Head:

Project Head:

ygraby@kku.edu.sa 

Nalasbali@kku.edu.sa

matri@kku.edu.sa