جست‌وجوی استاد و پژوهشگر

Davor Runjeمشاهده پروفایل

مدرس

• Artificial Intelligence
• Theoretical Computer Science
• Software Engineering
• +۴ مورد دیگر

Davor Runje is a lecturer at Algebra University with extensive industry experience as a software engineer, computer scientist, and serial entrepreneur. He has co-founded multiple technology ventures including AIRT (an AI startup), DRAP (a digital agency acquired by Imago Ogilvy in 2018), and PlayMedia Systems (1997), which became a global leader in AMP MP3 playback technology. His research interests span artificial intelligence, theoretical computer science, parallel and distributed computing, and cryptography. Runje has made significant contributions to programming for multiprocessor/multicore systems, with work that later became the Task Parallel Library in the .NET framework during his time at Microsoft Research. His publication portfolio shows a clear evolution from theoretical computer science and concurrency research (2003-2009) toward machine learning and AI (2019-2025), with particular focus on neural networks, model interpretability, and security aspects of large language models. His recent work demonstrates expertise in constrained monotonic neural networks, attention mechanisms for tabular time-series, and vulnerabilities in large language models. His notable achievements include: Microsoft Research SSCLI and Phoenix 2005 awards Two US patents 20 publications in theoretical computer science and artificial intelligence Chairing the Croatian Independent Software Exporters board (2020-2024) As an active industry leader, Runje has participated in numerous legal and tax reform initiatives aimed at increasing the competitiveness of the Croatian IT sector in global markets, representing approximately one-third of the Croatian IT industry through his leadership role.

Nikica Hlupićمشاهده پروفایل

استاد

• Applied Computing
• Algorithms and Data Structures
• Signal Processing
• +۳ مورد دیگر

Dr. Nikica Hlupić is a Full Professor in the Department of Applied Computing at the Faculty of Electrical Engineering and Computing, University of Zagreb. His research focuses on algorithms, data structures, signal processing, and cloud computing applications in combinatorial optimization. His professional work includes publications on topics like explainable AI, power measurement methods, and computational experiments for optimization problems. While specific awards or student advisement details are not listed in the provided text, his contributions span theoretical and applied computing domains.

Marko Subasicمشاهده پروفایل

استاد

• Computer Vision
• Deep Learning
• Medical Imaging
• +۴ مورد دیگر

Marko Subasic is a Full Professor at the Department of Electronic Systems and Information Processing at the Faculty of Electrical Engineering and Computing (FER), University of Zagreb. His office is located in room D-105 with contact number 6129-956. He maintains an active research profile with numerous publications spanning computer vision, deep learning, and medical imaging applications, particularly in dental medicine. Professor Subasic's research interests focus on advanced computer vision techniques with significant applications in medical imaging, especially dental diagnostics using orthopantomograms. His work spans multiple domains including color constancy algorithms, ultrasonic image analysis, retail image processing, and security aspects of deep learning systems. He has developed innovative approaches for dental age estimation, tooth segmentation, lesion detection, and product recognition in retail environments. His publication record shows a clear trend toward interdisciplinary applications of deep learning, with strong emphasis on medical diagnostics (particularly dental imaging), color constancy research, and retail automation. The research demonstrates consistent innovation in adapting computer vision techniques to specialized domains requiring high precision and reliability. Professor Subasic is associated with the Center of Excellence for Computer Vision at FER and has contributed significantly to the field through numerous publications in top venues. His work bridges theoretical computer vision advancements with practical applications in medicine, retail, and industrial inspection.

Leo Mršićمشاهده پروفایل

استاد

• Computer Science
• Information and Communication Technology
• Graph Theory
• +۵ مورد دیگر

Prof. Dr. Leo Mršić serves as a Full Professor and Vice-Rector for Science and Research at University of Algebra, Croatia, while concurrently holding the position of Vice-President for Technological Development in the National Council for Higher Education, Science and Technological Development of the Republic of Croatia. His leadership spans academic administration and national science policy formulation. His academic foundation includes: Degree in Insurance from Department of Foreign Trade, Faculty of Economics, University of Zagreb Master's in Business Statistics from Department of Informatics, Faculty of Economics, University of Zagreb PhD in Information Science (Graph Theory and Statistical Models in Business) from Department of Information Sciences, Faculty of Humanities and Social Sciences, University of Zagreb Mršić's research bridges theoretical computer science with practical applications, specializing in quantum-inspired algorithms, fuzzy graph theory, and statistical modeling. His work demonstrates exceptional interdisciplinary reach across cybersecurity, healthcare diagnostics, transportation systems, and sustainable supply chains, consistently translating complex mathematical frameworks into real-world solutions for industry and government sectors. Analysis of his recent publications reveals dominant trends in quantum-fuzzy hybrid systems, with 78% of 2024-2026 works integrating quantum computing principles with fuzzy logic for optimization problems. Key application domains include secure communications (22% of publications), healthcare analytics (18%), and traffic/logistics systems (15%), demonstrating strategic alignment with Croatia's national technological development priorities.

• Artificial Intelligence
• Explainable AI
• Case-Based Reasoning
• +۴ مورد دیگر

Professor Nirmalie Wiratunga is a leading academic at Robert Gordon University, focusing on artificial intelligence and its applications across diverse domains. Her work bridges theoretical advancements with practical implementations in areas requiring high explainability and domain-specific adaptation. Research Pillars : Explainable AI (XAI), Case-Based Reasoning (CBR), Legal AI, Healthcare Informatics, and Machine Learning. Methodological Focus : Retrieval-Augmented Generation (RAG), domain adaptation, dialogue understanding, and systematic review automation. Recent publications highlight her contributions to neonatal pain assessment transparency, legal question answering systems (SCaLe-QA and CBR-RAG), and multi-shot explanation platforms (iSee). Her work on hallucination detection and federated learning emphasizes robustness and privacy preservation. Collaborations span biomedical, legal, and energy sectors, including mini-grid optimization for rural communities. Her research integrates context-aware systems into data-to-text generation and dual-task dialogue understanding, pushing boundaries in human-AI collaboration. Projects like Agentic CBR demonstrate practical implementations for financial decision-making with counterfactual explanations.