Academic Foundations
Doctor of Philosophy (Ph.D.) in Artificial Intelligence
Inha University, South Korea (2018-2025)
Dissertation Title: "Advancing Sign Language Recognition: A Multimodal Deep Learning Framework with Keypoint Vectorization"
Committee: Prof. Wookey Lee (Chair), Prof. Sanghoon Lee, Prof. Hyunseung Choo
Key Contributions:
Developed novel skeletal keypoint representation reducing computational latency by 40%
Created evaluation metrics for continuous sign language recognition
Implemented multi-threaded processing pipeline for real-time performance
Master of Science in Computer Science
Samarkand State University, Uzbekistan (2002)
Thesis: "Optimization Algorithms for Sparse Matrix Computations"
Advisor: Prof. Abdulla Qodirov
Bachelor of Science in Mathematics
Samarkand State University, Uzbekistan (2000)
Concentration: Applied Mathematics & Computational Methods
Professional Appointments
Postdoctoral Research Fellow (2025-Present)
SpaceTop Research Center, KAIST
Postdoctoral researcher, responsible for managing the center.
Lead investigator for ongoing projects developing AI-powered interfaces for mixed reality environments
Recruiting student projects, selecting the top ten unique and excellent ones, and providing ongoing support throughout the period.
Guiding team members, provide financial and research support, and connect them with mentors from academia and industry.
Resulting in excellent outcomes, including publications and presentations in top-tier conferences and high-ranking journals in the HCI research field.
Collaborate with the related industry, including Samsung Display on haptic feedback algorithms for AR applications
Graduate School Researcher & Teaching Assistant (2019-2025)
XVoice AI Research Lab, Inha University
Established the 3DCNN-based multimodal Sign Language model with inputs:
RGB video
Extracted 2D human keypoint data
Doppler data
Vectorised data
Outperforming recebnt SOTA approaches in the related fields.
Developed real-time sign language translation system achieving 80.3% accuracy on test set
Professor of Computer Science (2013-2018)
Tashkent University of Information Technologies
Founded and directed the Center for Artificial Intelligence Research
Designed and taught advanced courses including:
Deep Learning Architectures (Graduate Level)
Human-Centered AI Design
Ethical Considerations in Machine Learning
Advised Uzbekistan Ministry of ICT on national AI strategy development
Technical Expertise
Machine Learning & AI:
Deep Learning Architectures:
Convolutional Neural Networks (2D/3D CNNs)
Recurrent Neural Networks (LSTMs, GRUs)
Transformer Models (Vision Transformers)
Generative Adversarial Networks (DCGAN, StyleGAN)
Classical ML:
Support Vector Machines
Random Forests
Bayesian Networks
Computer Vision:
3D Human Pose Estimation
Facial Landmark Detection
Optical Flow Analysis
Action Recognition in Videos
Software & Tools:
Programming Languages:
Python (NumPy, SciPy, Pandas)
C++ (STL, OpenMP)
MATLAB (Image Processing Toolbox)
Deep Learning Frameworks:
TensorFlow (including TensorFlow Lite)
PyTorch (with TorchScript)
Keras
Cloud Platforms:
AWS SageMaker
Google Cloud AI Platform
Microsoft Azure ML
Languages:
Uzbek (Native Proficiency)
English (Professional Fluency - IELTS 8.0)
Korean (Advanced Proficiency - TOPIK Level 5)
Russian (Professional Working Proficiency)
Personal
Family: Married with three children
Personal Growth
Learning.
Reading.
Creative pursuits
Travel
Volunteer work
