software and Informatis

Software Engineering Department ActivitySeminar title : AI as a CO- Pilot, Not CrutchPresented by : Bnar M. GhafourOn 30 April 2026Abstract: Using AI as a co-pilot means treating it as a collaborator that accelerates research, drafts, and data analysis while keeping human judgment, creativity, and accountability in the driver’s seat. It enhances productivity by breaking […]

Software Engineering Department SeminarsTitle: A customized CNN for Multi class Autism’s classification using the CARS ADK dataset .Presented by: M. Rana LaithOn: 28 April 2026Abstract: customized CNN for multiclass autism classification using the Childhood Autism Rating Scale – Autism Dataset for Kids (CARS-ADK) involves designing a specialized, lightweight architecture to process behavioral features, usually extracted

Software Engineering Department SeminarTitle : AI Routing : Intelligent Decision- Making for Efficient systemsPresented by : M. Nyan D. SalmanDate: 27 April 2026Abstract :AI routing represents a transformative shift from static, rule-based systems to dynamic, intelligent decision-making that optimizes efficiency across logistics, networking, and customer service. By utilizing machine learning, predictive analytics, and real-time data,

Abstract : Due to the widespread use of solar energy in recent times, detecting damage in photovoltaic panels has become a major focus for researchers worldwide. Consequently, Image processing techniques have emerged as an effective and widely appealing approach for identifying defects and faults in these panels. This paper is a review study that explains:

Software Engineering SeminarPresenter : Ass. Prof. Dr. Mahdi SabirOn: 23th April 2026Abstract :(box plots) are visual tools for analyzing data distribution, highlighting the five-number summary: minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum. They display data spread, skewness, and outliers via a box representing the middle 50% and lines (“whiskers”) showing variability.

Software Engineering Department By : Dr Polla Abdulhameed Fattah On : 26/2/2026 Abstract :The development of robust language technologies for Kurdish is primarily hindered by its status as a multi-script, low-resource language. Unlike many Western languages that benefit from standardized orthographies and massive digital corpora, Kurdish is fragmented between the Arabic-based Sorani script and the

Software Engineering DepartmentPresenter: Ammar Omer HassanDate: 22/2/2026Abstract: The Arduino Programming Environment (IDE)The Arduino Integrated Development Environment – or Arduino Software (IDE) – contains a text editor for writing code, a message area, a text console, a toolbar with buttons for common functions and a series of menus. It connects to the Arduino hardware to upload

Abstract : Skin disease detection using deep learning utilizes Convolutional Neural Networks (CNNs) and Transfer Learning (e.g., ResNet, VGG19, EfficientNet) to automatically analyze dermatoscopic images, achieving over 95% accuracy in classifying conditions like melanoma and eczema. These AI models improve early diagnosis, offering a scalable, non-invasive alternative to traditional clinical inspections Presenter : Dr. Abbas