AI Mentor & Strategist, Founder, Investor

Jumabek Alikhanov

Bridging Computer Vision, Cybersecurity, and Positive Computing through innovative AI research

About Me

I am an AI researcher and entrepreneur with a unique interdisciplinary background spanning Computer Vision, cybersecurity, and data science for mental health. I completed my PhD in February 2025, conducting research across multiple labs in collaboration with professors from the USA, Europe, and South Korea. As Founder of HumbleBee.AI, I lead AI research and product development, delivering cutting-edge solutions to clients globally. My work focuses on developing efficient, practical AI systems that bridge the gap between academic research and real-world applications.

Education

PhD (February 2025)

Combined studies in computer networks, cybersecurity, positive computing, data science for mental health, and Computer Vision

Master's Degree

AI / Deep Learning / Computer Vision, Inha University

Bachelor's Degree

Computer Software Engineering, Tashkent University of Information Technology

Key Skills & Expertise

Machine LearningDeep LearningComputer VisionMulti-Object TrackingPyTorchTensorFlowYOLOCybersecurityData SciencePositive ComputingNetwork Intrusion DetectionEdge AI Deployment

Research Contributions

My research bridges multiple domains, creating novel methodologies that address real-world challenges in AI and machine learning.

LITE & PRIME

Developed innovative paradigms for Multi-Object Tracking in video analytics, integrating efficient ReID features and optimizing the speed-accuracy trade-off in tracking systems.

Context-Filtered Features (CFF)

Created methodologies for detecting opportune moments in sensor data for mental health interventions.

Impact of Sampling in ML

Investigated how sampling strategies affect machine learning performance in cybersecurity applications, particularly in network intrusion detection systems.