Proceedings of the Innovation in Engineering Education 2026 Conference (IEE 2026)

Innovation in Engineering Education 2026 Conference (IEE 2026)

📍Miskolc, Hungary🗓️ 5-6 February 2026
40 authors
Burján-Mosoni, Boglárka
On Hidden Shortcomings That Hinder Understanding: Thought-Provoking Observations from a Soft Skills Development Program for Engineering Students
Bán, Péter
Challenges in OpenSet Learning of Neural Networks
Cseh-Zelina, Gergely
Beyond the Black Box: Integrating Legal Competencies and Algorithmic Liability into the Engineering Curriculum
Csiba, Krisztina
Communication Attitudes of First-year Engineering Students: Insight and Implications
Czékmann, Zsolt
Beyond the Black Box: Integrating Legal Competencies and Algorithmic Liability into the Engineering Curriculum
Fazekas, Levente Áron
Attribute-Based Multi-Filter Bloom Tabu Search for Evaluation-Limited Flexible Flowshop Scheduling
Gadóczi, Balázs
The Role of Artificial Intelligence in Medical Imaging and Diagnostics – A Radiographer’s Perspective
Gyarmati, Gábor
Communication Attitudes of First-year Engineering Students: Insight and Implications
Hegedűs, György
From Medical Imaging to Robotic Perception: Real-Time Depalletising with Instance Segmentation
Homolya, Szilvia
Students’ Perceptions of AI Use in Mathematics Learning: Opportunities for Supporting Problem-Solving Skills
Hriczó, Krisztián
AI-Enhanced Science Education: From Data to Physical Laws
Khleel, Nasraldeen Alnor Adam
Fine-Tuning DistilBERT: A Pre-Trained Transformer Model for Software Defect Prediction
Kocsis, Imre
On Hidden Shortcomings That Hinder Understanding: Thought-Provoking Observations from a Soft Skills Development Program for Engineering Students
Kocsis, Imre
Communication Attitudes of First-year Engineering Students: Insight and Implications
Kovács, László
Challenges in OpenSet Learning of Neural Networks
Kusper, Gábor
Vibe Coding Principles
Lajos, Sándor
Peer-Review Statements
Lakatos, Andrea
The Role of Artificial Intelligence in Medical Imaging and Diagnostics – A Radiographer’s Perspective
Lénárt, József
From Medical Imaging to Robotic Perception: Real-Time Depalletising with Instance Segmentation
Molnár-Zékány, Szabina
Integration and Optimization of a 3D Scanning-Based Wound Coverage System with AI-Driven Boundary Detection
Murvai, Ervin Szabolcs
AI-Enhanced Science Education: From Data to Physical Laws
Nehéz, Károly
Fine-Tuning DistilBERT: A Pre-Trained Transformer Model for Software Defect Prediction
Nehéz, Károly
Attribute-Based Multi-Filter Bloom Tabu Search for Evaluation-Limited Flexible Flowshop Scheduling
Pék, Johanna
Why Hasn’t AI Replaced University Teachers (Yet)?
Rozgonyi, Erika
The Integration of Generative AI into a 4-Step Model for Teaching Descriptive Geometry in Higher Education
Rónai, László
Peer-Review Statements
Rónai, László
From Medical Imaging to Robotic Perception: Real-Time Depalletising with Instance Segmentation
Rónai, László
Development of Educational Program Code for Solving Kinematic Problems of RRR Type Robots
Saghegyi, Peter
Visual Enterprise Management: Strengthening C-Level Understanding via Spatial and Narrative Data Experiences
Sincak, Peter
Digital Intelligence and the Impact to University Education
Szalkó, Anett
The Role of Artificial Intelligence in Medical Imaging and Diagnostics – A Radiographer’s Perspective
Szilágyi, Brigitta
The First-Year Baseline: Evaluating Student Readiness Supplemental Learning Pathways
Török, Barbara
Communication Attitudes of First-year Engineering Students: Insight and Implications
Varga, Adrienn Vámosiné
Exploring Instructor’s Attitudes and Usage Patterns of Generative AI in Engineering
Varga, Attila Karoly
Visual Enterprise Management: Strengthening C-Level Understanding via Spatial and Narrative Data Experiences
Varga, Attila Károly
AI-Enhanced Science Education: From Data to Physical Laws
Varga, Attila Károly
The Role of Artificial Intelligence in Medical Imaging and Diagnostics – A Radiographer’s Perspective
Árvai, László
Artificial Intelligence in Computer Vision: Enabling Technologies and New Capabilities
Árvai, László
Students’ Perceptions of AI Use in Mathematics Learning: Opportunities for Supporting Problem-Solving Skills
Árvai-Homolya, Szilvia
Peer-Review Statements