Student Achievements

Innovative projects, research, and startups of students of Almaty University of Energy and Communications named after Gumarbek Daukeev.

Design and modeling of a university telecommunications network with VLAN segmentation and data protection
Telecommunications computer networks Cisco Packet Tracer VLAN routing network technologies information security LAN/WAN OSPF DHCP network design

Design and modeling of a university telecommunications network with VLAN segmentation and data protection

This project focuses on the development and modeling of a modern telecommunications network for a university. This work involves creating a logical and physical network architecture, including routers, switches, servers, and workstations.The network is divided into VLANs to effectively manage traffic between different user groups: students, faculty, administration, and server infrastructure. Inter-VLAN routing and dynamic routing protocols (such as OSPF) are used to ensure communication between segments.Particular attention is paid to information security: ACLs (access control lists), network segmentation, port security, and basic traffic filtering mechanisms are implemented.The project is modeled using Cisco Packet Tracer or GNS3, enabling network performance testing, device connectivity, routing, and resource access.The result is a functional, scalable, and secure telecommunications infrastructure that can be used in real-world educational settings.

A computer vision system for real-time object and action recognition based on neural networks
Computer Vision Deep Learning Neural Networks Real-Time Detection YOLO OpenCV AI Object Recognition Action Recognition

A computer vision system for real-time object and action recognition based on neural networks

The project aims to develop an intelligent computer vision system capable of real-time object and action recognition using deep learning neural networks. The system processes camera video, detects objects, and classifies actions (e.g., human movement, gestures, and interactions with objects).The solution can be based on modern architectures such as YOLO, SSD, or Faster R-CNN for object detection, as well as LSTM or 3D-CNN models for action sequence analysis.The project can be applied in security systems, smart video surveillance, industrial automation, and educational systems.