Dec, 2023
ISE Dept. - MS Thesis Defense - Mohammed Karrar Qusai
Deep Learning-based Multi-Objective Resource Allocation for Infrastructure Network Resilience
MATH Dept. - Seminar - Iterative algorithms for nonlinear non-expansive type operators - Prof. Vasile Brinde
The solution of many nonlinear problems, like monotone inclusion problems, convex optimization problems, variational inequality problems,...
COE Dept. - MS Thesis Defense - Adnan Munir
Unmanned aerial vehicle (UAV) detection using computer vision and deep learning algorithms is a rapidly growing topic of research that at...
ICS-JRCAI - KIKX Seminar - ‘’Revolutionizing Healthcare: Exploring the Transformative Applications of Large Language Models (LLMs)’’ - Dr. Rasheed Mohammed
This seminar delves into the dynamic intersection of language models and healthcare, unraveling the transformative potential that LLMs br...
ICS-JRCAI - KIKX Seminar - AI: Then and Now
Like many new disciplines, Artificial Intelligence (AI) has developed through a series of fits and starts—lurching and reeling from side ...
Nov, 2023
ICS-JRCAI - KIKX Seminar - Deep Dive into Bacterial Immune System Annotation with Deep Learning - Mr. Sven Hauns
In this seminar, Sven Hauns will delve into the innovative application of deep learning systems for the annotation of bacterial immune sy...
ISE Dept. - Seminar - "Experimental Investigation of Design Parameters on Geometrical Accuracy of Selective Laster sintered parts" - Mr. Muhammad Ahmad Iqbal
Elective Laser Sintering (SLS) is increasingly being favored for manufacturing polymer parts in medium-sized batches. To ensure consisten...
ICS Dept. - PhD Dissertation Defense - Nora Al-Turayeif
Multi-Task Learning Frameworks for Stance Detection with a Focused Case Study on Arabic Microblogs.
Oct, 2023
COE Dept. - KIKX Webinar - Blockchain for IoT Networks - Prof. Mohammed Younis
The major advances in body-mounted sensors wireless technologies have been revolutionizing the healthcare industry, where patient's condi...
COE Dept. - Seminar - "LoRaWAN: Technology Overview and Research Opportunities" - Dr. Louai Al-Awami
LoRaWAN is a promising Low-Power WAN wireless IoT technology. It offers long-range communication for battery-powered devices over the uns...
COE Dept. - Seminar - "Emerging Frontiers in Accelerated Computing: From Research Innovations to Real-world Applications" - Dr. Ayaz Khan
In the seminar, Dr. Ayaz ul Hassan Khan offers an insightful exploration into the transformative realm of accelerated computing. The pres...
ICS Dept. - Seminar - “Building Hacker-Resilient Software: The Role of Software Security Engineering.” - Dr. Mahmood Niazi
Software has increasingly become the backbone of our technical development and major global industries. Software security breaches these ...
ICS Dept. - Seminar - Complete protection of ICS/OT and infrastructure? A concept or reality?
This talk offers a practical solution to safeguard OT systems from even the most advanced cyber threats, including nation-state attacks. ...
COE Dept. - Seminar - Unsupervised Deconvolution Neural Network for High-Quality Ultrasound Imaging - Dr. Shujaat Khan
High-quality Ultrasound imaging demands a large number of measurements that can increase the cost, size, and power requirements. Therefor...
COE - Short Course - “Fundamentals of Accelerated Computing with CUDA C/C++” - Dr. Ayaz Khan
This course teaches the fundamental tools and techniques for accelerating C/C++ applications to run on massively parallel GPUs with CUDA®...
Sep, 2023
ICS Dept. - Seminar - Cancer Driver Gene Prediction Using Graph Neural Network-based Model - by Dr. Van Dinh Tran
Cancer has been known as the leading cause of death worldwide. Many studies have been conducted in the direction of finding effective tre...
May, 2023
ISE Dept. - MS Thesis Defense - AlDabbagh AlHassan Mohammed Hany
Metaheuristic Approach for Artificial Neural Network Optimization.
COE Dept. - MS Thesis Defense - Ibrahim Alhussain
FPGA Acceleration of Stencil-Based Computation.
COE Dept. - MS Thesis Defense - Ahmed Hazim Hamad
SZ Lossy Compression On FPGA using OpenCL.
ISE Dept. - MS Thesis Defense - Mohammed Ayman
Integrated Workforce Scheduling and Routing Problem Optimization in the construction Industry.