Jurnal məqalələri
“Deep learning-based extractive and abstractive summarization for the Azerbaijani language”. PeerJ Computer Science. Web of Science SCIE. Q2, IF=3.1. https://www.researchgate.net/publication/408506298_Deep_learning-based_extractive_and_abstractive_summarization_for_the_Azerbaijani_language
Design and Development of a Controlled Multi-Agent Conversational System Using Large Language Models for Public Services: A Case Study. Journal of Advances in Information Technology. Web of Science SCIE. Q3, IF=1.3. (accepted)
Automated Detection of Cognitive Distortions in Azerbaijani for Mental Health Applications. Journal of Advances in Information Technology. Web of Science SCIE. Q3, IF=1.3. (accepted)
Annotation-Free Character Recognition for Azerbaijani License Plates: GAN Generator Diversity and Multi-Architecture Detection. IEEE Access. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=11687739
Deep Features, Classical Models: Binary vs. Multiclass Deepfake Detection. Artificial Intelligence for Digital Transformations. AIDT 2026. Communications in Computer and Information Science, vol 3023. Springer, Cham. https://doi.org/10.1007/978-3-032-31319-5_16
Improving Named Entity Recognition for the Azerbaijani Language Using Neural and Conditional Random Fields-Based Models. Artificial Intelligence for Digital Transformations. AIDT 2026. Communications in Computer and Information Science, vol 3023. Springer, Cham. https://doi.org/10.1007/978-3-032-31319-5_14
An Ensemble Approach to Deepfake Video Detection Using Pre-trained CNNs and Statistical Feature Aggregation. 3rd International Conference on Information Technologies and Their Applications (ITTA 2026). Baku, Azerbaijan.
Multimodal Fake-Information Detection for Low-Resource Language in Case of Azerbaijani Language. 7th International Conference on Natural Language Processing and Artificial Intelligence (NLPAI 2026), Urumqi, China. Best Presentation Award.
A Hybrid Search System for Academic Library Discovery Using BGE-M3 and LLM-Based Agents. 7th International Conference on Natural Language Processing and Artificial Intelligence (NLPAI 2026), Urumqi, China.
AI-Augmented Explainable University Major Recommendation for Azerbaijani Higher Education via LLM-Assisted RIASEC Taxonomy Construction and Agent-Based Personalized Guidance. 7th International Conference on Natural Language Processing and Artificial Intelligence (NLPAI 2026), Urumqi, China.
ASR for Low-Resource Languages: The Case of Azerbaijani. 7th International Conference on Natural Language Processing and Artificial Intelligence (NLPAI 2026), Urumqi, China.
Exploring the Use of Knowledge Graphs in Enhancing Natural Language Understanding for Conversational AI. 7th International Conference on Natural Language Processing and Artificial Intelligence (NLPAI 2026), Urumqi, China.
