جستجوی استاد راهنمای دانشگاهی

Professor Nada Lavrač is a leading researcher at the Jožef Stefan Institute and Full Professor at the University of Nova Gorica , Slovenia. With over 40 years of experience in machine learning and data mining, she has made groundbreaking contributions to inductive logic programming, computational creativity, and biomedical data analysis. Her work spans applications in medicine, public health, bioinformatics, and industrial systems, with a focus on explainable AI and knowledge discovery. Head of ICT Programme at Jozef Stefan International Postgraduate School Principal researcher in EU projects H2020 FNS-Cloud and EMBEDDIA Author of 163-page monograph Representation Learning: Propositionalization and Embeddings (Springer, 2021) Research highlights include developing neuro-symbolic AI frameworks for conference scheduling, creating ontology-driven graph-based learning systems, and pioneering feature selection methods for high-dimensional biomedical datasets. Her work on tax2vec for taxonomy-based text classification has transformed short text analysis approaches. She has also led advancements in grapevine disease modeling using multi-omics data integration. Scientific accolades: 1984 national research excellence prize , 1997 Ambassador of Science of Slovenia , ECCAI Fellow (2007) , and Zois Recognition Award (2013) . Her citation metrics include 16,141 Google Scholar citations (h=54) and 4,622 WoS citations (h=31).

• machine learning
• data mining
• inductive logic programming
• +۵ مورد دیگر

Roman Kamnik is a Full Professor at the Faculty of Electrical Engineering, University of Ljubljana, Slovenia, where he serves as a Higher Education Teacher and is affiliated with the Laboratory for Robotics. His academic position encompasses teaching, research, and leadership in advanced engineering disciplines within the university's primary technical faculty. Professor Kamnik's research program spans critical domains in modern engineering, with emphasis on: Robotics and manufacturing systems integration Embedded systems for industrial automation Intelligent mobile transport solutions Biomechanics applications (Module C) Electro-mechanical product design Advanced robotic measurement technologies His work bridges theoretical innovation with practical implementation, particularly through the Laboratory for Robotics where he develops cutting-edge solutions for automation and intelligent systems. The research demonstrates consistent focus on real-world applications in manufacturing, transportation, and biomedical engineering contexts.

• Robotics
• Embedded Systems
• Automation
• +۴ مورد دیگر

Marko Munih is a full professor at the Faculty of Electrical Engineering, University of Ljubljana, Slovenia. He serves as a higher education teacher and leads the Laboratory for Robotics, contributing to advancements in automation and robotic systems. Research interests: Robotics, Embedded Systems in Automation, Microcomputer Systems, Robot Kinematics and Dynamics, Robotic Mechanisms, and Measurement Systems. His work bridges theoretical and applied aspects of mechatronics and computer science. Labs & Teams: Associated with the Laboratory for Robotics at the Faculty of Electrical Engineering, focusing on robot design, control systems, and practical applications.

• Robotics
• Embedded Systems in Automation
• Microcomputer Systems
• +۵ مورد دیگر

Aleš Jaklič is an Assistant Professor affiliated with the Computer Vision Laboratory . His work spans computer vision, 3D reconstruction, and educational technologies, with a focus on practical applications in archaeology, meteorology, and STEM-C education. Research interests include: 3D modeling from point clouds Superquadric parameter prediction from depth images IoT-based educational tools for computer science Historical artifact digitization Image processing algorithms His publications since 2000 demonstrate expertise in geometric modeling, computer vision, and educational technology. Highlights include work on superquadric recovery (2000, 2003), archaeological modeling (2015), and IoT education frameworks (2020). Recent research (2021) explores neural network approaches to depth image analysis. Active in research programs funded by the Slovenian Research Agency (ARRS) since 2009, including the ongoing P2-0214 - Computer Vision program (2019-2024). He has also contributed to the ŠIPK 5 project on IoT education (2020).

• Computer Vision
• 3D Reconstruction
• Machine Learning
• +۳ مورد دیگر

Assoc. Prof. Dejan Lavbič is an Associate Professor at the University of Ljubljana, Faculty of Computer and Information Science with 15+ years of academic experience. His research focuses on intelligent agents, multi-agent systems, ontologies, and blockchain-based smart contracts , particularly in semantic web technologies, AI services ecosystems, and information quality assessment . Doctor of Philosophy in Computer Science, University of Ljubljana (2010) Bachelor of Science in Computer Systems and Informatics, University of Ljubljana (2004) His scientific contributions span semantic web frameworks, blockchain applications, and machine learning systems, with 20+ peer-reviewed publications. Recent works include: Smart contract classification with AI Cardano blockchain identity systems Information quality metrics with gamification Awards include Cambridge CAE certification and multiple industry certifications. He mentors students in decentralized applications, AI development, and smart city ecosystems , having guided 6+ diploma/master theses on topics like automated essay grading and air quality data collection.

• Intelligent agents
• Multi-agent systems
• Ontologies
• +۷ مورد دیگر