software and Informatis

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 […]

Software Engineering Department By: M. kanar Shukr MohammedOn 15 February 2026 Abstract : Red Fox Optimization (RFO) is a nature-inspired algorithm modeled on the hunting behavior of the Red Fox. It balances exploration and exploitation to efficiently find optimal solutions and avoid local optima. RFO is used in engineering and machine learning optimization problems

Software Engineering SeminarBy: Dr. Narin Khalida Baitullah ShukriOn 11/2/2026 This seminar was a discussion about the cognitive challenges created by AI-driven systems, arguing that the main limitation today is no longer computation but human cognition.It proposes moving beyond traditional usability toward Cognitive HCI, where attention, memory, reasoning, and mental models are treated as engineering constraints.

Software Department SeminarPresented by: Lecturer Nawroz IbrahimOn 8 Feb, 2026Abstract :Satellites communicate in space primarily by using radio frequency (RF) signals to send and receive data between space-based, solar-powered transponders and ground-based antenna stations. They use high-frequency waves (1–50 GHz) to beam data, voice, or video, which are often relayed across global networks via geostationary