Intelligent systems for real-world challenges
Professor and researcher dedicated to shaping the next generation of computing talent and building systems that bridge academic rigor with real-world impact.
def academic_cycle():
# [Teaching] From C basics to mobile apps and AI
courses = ["Algorithms", "Data Structures", "Mobile Development"]
for course in courses:
train_new_talent(course)
# [Research] Computer vision & applied AI
while real_challenges_exist:
solution = build_model(focus="Deep Learning")
academic_and_practical_impact(solution)
academic_cycle()Focus areas
Computer Vision
Image classification, object detection, and complex pattern analysis from visual data.
Deep Learning
Design and optimization of deep neural networks for high-accuracy, high-performance solutions.
Algorithms & Programming
Advanced programming logic and data structures for high-performance software development.
Applied AI
Embedding intelligent models into real-world scenarios, from edge devices to industrial processes.
Latest research
Forest species identification from macroscopic wood images
Benchmark of 15 YOLO models (v8, 11, and 26) for automated identification of 73 forest species from macroscopic wood images. Four models reached 99.87% test accuracy; YOLO26m offered the best accuracy–speed trade-off. Published in Scientific Reports (2026).