Arabovs AI Research Lab - Interactive Research Hub

👨‍🔬 Academic Profile

Mullosharaf Kurbonovich Arabov, PhD
Candidate of Physical and Mathematical Sciences, Associate Professor
Department of Data Analysis and Technical Programming
Kazan Federal University, Russia

🌐 Official KFU Profile | 📧 Email | 💻 GitHub | 🏫 University Portal

🎯 Interactive Research Demos

🚀 Live Spaces & Applications

🔬 Active Demonstrations

• NLP Analysis Suite - Multilingual language models and text processing
• Time Series Forecasting Lab - Financial and economic forecasting models
• Dynamical Systems Explorer - Limit cycles and bifurcation analysis
• PINN Experiments - Physics-Informed Neural Networks for PDEs
• AutoML Framework - Automated machine learning pipelines

📚 Educational Demos

• Machine Learning Tutorials - Interactive learning materials
• Research Benchmark Tools - Standardized evaluation platforms
• Code Examples Gallery - Reproducible implementations

🧠 Research Specialization

Core Research Areas

🔄 Natural Language Processing (NLP)

• Multilingual language models and cross-lingual transfer
• Information extraction and knowledge graph construction
• Semantic analysis and text understanding systems
• Low-resource language processing

📈 Time Series Forecasting

• Deep learning architectures for temporal data (LSTM, Transformers)
• Financial and economic forecasting models
• Anomaly detection and regime change identification
• Multivariate time series analysis

⚗️ Differential Equations & Dynamical Systems

• Analysis of limit cycles and bifurcation scenarios in nonlinear dynamical systems
• Optimal control of dynamic processes
• Numerical methods for solving differential equations
• Applications in physics, engineering, and biological systems

🧠 Physics-Informed Neural Networks (PINN)

• Hybrid modeling combining physical laws with neural networks
• Solving PDEs using deep learning approaches
• PINN applications in engineering and scientific computing

🤖 Automated Machine Learning (AutoML)

• Neural architecture search and hyperparameter optimization
• Automated feature engineering and model selection
• Development of end-to-end AutoML pipelines

Applied Domains

🏥 Medical Informatics

• Large-scale medical diagnostic systems
• Clinical decision support systems
• Medical image and data processing pipelines
• Healthcare data analytics platforms

💰 Financial Technology

• Algorithmic trading and market analysis systems
• Risk management and fraud detection platforms
• FinTech applications of machine learning
• Regulatory technology (RegTech) solutions

📊 Benchmark Development

• Creation of standardized evaluation benchmarks
• Comparative analysis of ML algorithms
• Reproducible research environments and testbeds

📚 Models & Datasets

Published Resources

• NLP Benchmark Models - Pre-trained for multiple languages
• Time Series Datasets - Curated forecasting benchmarks
• Dynamical Systems Tools - Simulation and analysis code
• PINN Implementations - Physics-informed learning frameworks

Upcoming Releases

• Medical AI diagnostic models
• Financial forecasting datasets
• Educational technology tools

🎓 Educational Resources

Interactive Learning

• Run code examples directly in your browser
• Experiment with parameters and see real-time results
• Download pre-trained models for your research
• Reproduce published results with our benchmarks

Teaching Materials

• Electronic Textbooks - Open-access books on data science
• Video Lectures - Recorded courses and tutorial content
• Methodological Guides - Practical guides for researchers
• Code Examples - Reproducible implementations

🔬 Research Publications

Complete publication list available on KFU Profile

Key Research Themes:

• NLP and Linguistic Analysis
• Forecasting Methods and Optimization
• Dynamical Systems and Limit Cycle Analysis
• PINN and Scientific Machine Learning
• Educational Methodology in Technical Sciences

🤝 Collaboration & Usage

For Researchers

• Use our models as baselines for your work
• Contribute to our benchmark datasets
• Collaborate on joint publications
• Access reproducible research code

For Students

• Experiment with our interactive demos
• Use code examples in your projects
• Learn through hands-on AI examples
• Access educational materials

For Developers

• Integrate our models into your applications
• Build upon our open-source tools
• Report issues and suggest improvements
• Contribute to our open-source projects

🏢 Academic Activities

Teaching Responsibilities

• Supervision of course projects and theses
• Development of educational programs
• Methodological work for teaching improvement

Research Supervision

• Guidance for PhD students and young researchers
• Supervision of student research projects
• Organization of scientific seminars and workshops

📞 Connect With Us

• 🌐 GitHub: arabovs-ai-lab - Full code repositories and documentation
• 📧 Email: [email protected] - Research collaborations and inquiries
• 🏫 University: KFU Data Science - Academic profile and publications
• 🔬 Research Gate - Profile link - Research network

🔄 Platform Integration

GitHub → Complete code & documentation
Hugging Face → Interactive demos & models
KFU Portal → Official publications & profile

Our multi-platform approach ensures comprehensive research dissemination

---

"From theoretical foundations to interactive applications"