Arabov Mulosharaf Kurbanovich
Department of Data Analysis and Software Technology, Kazan Federal University · Kazan Federal University
Research Interests
Natural Language Processing (NLP), Large Language Models (LLMs), Parameter-Efficient Fine-Tuning (LoRA, QLoRA, PEFT), Time Series Forecasting, Computer Science, Machine Learning, Deep Learning
Biography
Highly motivated researcher and software engineer with a PhD in Physical and Mathematical Sciences and 10+ years of experience in academic research, teaching, and full-stack development. Senior Lecturer at Kazan Federal University teaching ML, NLP, and time series forecasting. Research focuses on differential equations, dynamical systems, and applied machine learning. Published in peer-reviewed journals and conferences. Supervised 25+ Master's projects in AI.
Education
PhD (Candidate of Sciences) in Physical and Mathematical Sciences, Institute of Mathematics, Academy of Sciences of Tajikistan (2012–2016). Specialist Degree in Computer Science & Software Engineering, Tajik National University (2007–2012).
Recent Scopus Publications
- Character-Level Transformer for Tajik-Persian Transliteration with a Parallel Lexical Corpus
- Identification of the Original Author of a Social Media Post Based on Text Analysis, Time Dependencies, and the Structure of Reposts Using Combined Neural Networks
- Comparative Analysis of Intelligent Methods for Automatic Anomaly Detection in Industrial and Distributed Systems Based on Machine Learning and Deep Learning Algorithms
- Comparative Analysis of FCN and U-Net for Retinal Blood Vessels Segmentation: A Performance Evaluation
- Comparative Analysis of Ensemble and Linear Machine Learning Models in the Task of House Price Prediction
Links
- ORCID https://orcid.org/0000-0003-2525-1183
- Google Scholar https://scholar.google.com/citations?user=2ljbCVIAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=57199509352