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Research and Development Expert in AI
Umid Abidjanov
Working across AI Implementation Group, AI Security Lab and Cyber State University. Turning applied AI, SOC/SIEM and DLP research into production-ready security products.
Research and Development Expert in AI
Working across AI Implementation Group, AI Security Lab and Cyber State University. Turning applied AI, SOC/SIEM and DLP research into production-ready security products.
Secure digital identity & anti-spoofing verification platform
Real-time face liveness detection with anti-spoofing AI. Detects masks, photos and deepfakes instantly.
Download on the App StoreResearch-backed security products built around analytics, monitoring and anti-fraud.
AI video analytics for assessing safety theory, practical activity and learning outcomes.
Intelligent log monitoring for detecting hidden cyberthreats and prioritizing analyst response.
Cognitive-motor pattern analysis for anti-fraud scoring and suspicious behavior detection.
As Head of the AI & Cybersecurity IT Laboratory, I oversee the full research and development cycle. The lab combines staff training, practical cyber range work, AI audits, SOC/SIEM monitoring and data protection products under aisecurity.uz.
The lab roadmap focuses on three tracks: training cybersecurity and AI specialists, building practical AI security products, and publishing research on cognitive-motor patterns, personal data protection and anti-fraud systems.
Scans and removes malicious files from systems in real time. Monitors Telegram bots and channels for threats and suspicious activity.
Open in TelegramSecurity Operations Center and SIEM workflow for real-time alert monitoring, incident triage and infrastructure threat detection. The platform supports analyst-focused monitoring through hackai.uz.
Visit PlatformEndpoint-focused Data Loss Prevention system with global overview, live intercept feed, risk scoring, activity logs, sensitive data scanning, email control, browser history, saved-password checks and login activity review.
Face ID attendance system powered by artificial intelligence — automated biometric check-in for universities and enterprises.
A decade-long plan to transform national cybersecurity — from building core AI infrastructure in Uzbekistan to exporting world-class technology on the global stage.
Built an analytical foundation in Statistics at TSUE. Launched the TrustID eKYC platform at AIG. Became Head of AI lab at Cyber State University.
Optimizing complex computer vision and ML architectures for high-load biometrics and security monitoring.
Establishing a high-tech AI R&D hub. Deploying fault-tolerant platforms to bridge academic research and industry.
Leading national AI initiatives. Integrating advanced biometrics and threat detection into government digital infrastructure.
Scaling proprietary AI products to international markets. Exporting high-performance computer vision and security technology.
Identifying anomalies and threats through behavioral and visual pattern analysis in real-time security systems.
Unified framework for data detection and encryption across heterogeneous AI systems and infrastructure layers.
Testing AI systems against model manipulation, data leakage and unsafe integrations, then converting findings into practical controls.
Uzbek-language practical training environment that connects theory, guided learning and safe hands-on exercises for students and analysts.