Research at ADA University School of IT & Engineering is driven by innovation, applied problem-solving, and strong academic rigor. Our teams work on modern technologies including Artificial Intelligence, Data Science, Computer Vision, and Natural Language Processing. We focus on building practical, real-world solutions through interdisciplinary collaboration and industry-connected research. This environment helps faculty, researchers, and students translate ideas into measurable impact.
Abazdin Adamov
Head of CeDAR
CeDAR serves as a core research center for data analytics and AI initiatives at SITE. The center is led by Abazdin Adamov and supports collaborative work between academia and industry, including projects with MegaSec. Its research portfolio emphasizes applied analytics, intelligent systems, and real-world implementation.
Team Lead: Jamaladdin Hasanov
The CV Lab focuses on image processing, computer vision pipelines, and AI-driven visual understanding systems for practical applications.
Jamaladdin Hasanov
Team Lead, CV Lab
An end-to-end ANPR system for detecting vehicles, localizing license plates, and recognizing plate text from surveillance feeds. Built for difficult real-world conditions such as noise, motion blur, low resolution, varying illumination, and partially obscured plates using deep learning and image processing for reliable Azerbaijani plate recognition.
A robust surveillance-oriented face detection and recognition pipeline focused on low-resolution inputs. It filters false positives and partial faces, then performs recognition with discriminative embeddings stable across pose changes, orientation differences, and minor occlusions.
An Azerbaijani Sign Language recognition initiative starting with dactyl fingerspelling and extending to broader translation tasks. It includes dedicated AzSL datasets, including 750 sentences by 20 actors, and supports robust recognition under real-world signing variation with recognition at Teknofest.
An AI-driven medical imaging project with clinical partners focused on breast cancer classification and segmentation and thyroid cancer diagnosis. It includes PACS integration, labeling workflows, and machine learning pipelines for diagnostic support and image analysis.
Team Lead: Samir Rustamov
The NLP Lab develops methods for text analysis, language modeling, and chatbot-oriented systems to support language technologies.
Samir Rustamov
Team Lead, NLP Lab
AI chatbot for Azerbaijani language with speech recognition and synthesis.
View ProjectOnline tool for correcting Azerbaijani text with high accuracy.
View ProjectAI platform for analyzing legal documents in Azerbaijani.
View ProjectConverts Azerbaijani speech into text using AI models.
View ProjectGenerates human-like Azerbaijani speech using neural networks.
View ProjectDetects similarity between Azerbaijani texts using ML.
View ProjectAnalyzes Azerbaijani text structure and language patterns.
View ProjectEach laboratory is organized into several project sections (sub-research areas), where every teacher or researcher leads a dedicated stream. These project sections represent ongoing research topics, active collaborations, and long-term development tracks connected to current industry and academic needs.
SITE currently has 5 PhD students actively contributing to research laboratories and project sections.
Abbas Aliyev
PhD Researcher
Nuraddin Sadili
PhD Researcher
Ismayil Shahaliyev
PhD Researcher
Zamina Guliyeva
PhD Researcher
Pasha Pashazade
PhD Researcher