Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 15th Sept 2026, 09:35:40am EEST

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Fri13Mar
Conference Center
Aula Room
Room U I7
Room U I6
Room U I3
Room U I2
online
8:00am
9:00am
10:00am
11:00am
12:00pm
1:00pm
2:00pm
3:00pm
4:00pm
5:00pm
6:00pm
Registration 3
8:30am - 1:00pm
Conference Center
Location: Conference Center
Coffee Break 5
10:30am - 11:00am
Conference Center
Location: Conference Center
Lunch 3
1:00pm - 2:30pm
Conference Center
Location: Conference Center
Coffee Break 6
4:00pm - 4:30pm
Conference Center
Location: Conference Center
Keynote Session 4
11:00am - 12:00pm
Aula Room
Michael E. Auer, Horia Alexandru Modran
Location: Aula Room
Session Chair: Michael E. Auer, CTI Global Frankfurt
Session Chair: Horia Alexandru Modran, Transilvania University of Brasov

Oscar Karnalim (Dean of the Faculty of Smart Technology and Engineering, Maranatha Christian University, Indonesia)

"Reconciling Generative AI with Academic Ethics in Classrooms: Conflict or Collaboration?"

The speaker: Oscar Karnalim is an associate professor and the dean of the Faculty of Smart Technology and Engineering, Maranatha Christian University, Indonesia. He completed his PhD at the University of Newcastle, Australia. He serves as Editor in Chief of Sage’s Journal of Educational Technology Systems and as an editorial board member of four Scopus-indexed journals. His research interests include software engineering, learning technologies, and artificial intelligence. He is continuously developing automated technologies to maintain academic integrity. Oscar has published over 120 academic papers, with more than 1,400 citations. His Google Scholar H-Index is 21, while his Scopus H-Index is 16. Oscar has been involved in many international research and community service collaborations. His collaborators are from Australia, Canada, the USA, the Netherlands, and the UK. He received several awards, including the Michael E. Auer Young Scientists Award (IETI, 2025) and the Best Dissertation Award in the Field of Engineering Education (IEEE Education Society, 2024). He is also an IEEE senior member and a fellow of the United Board for Christian Higher Education in Asia.

Abstract: Generative Artificial Intelligence (GenAI) has profoundly reshaped academia. With students increasingly engaging with these technologies, upholding academic integrity has become a growing concern. The talk examines the tension and potential harmony between student use of GenAI and the principles of academic ethics. It explores whether these technologies compromise genuine learning and honest authorship, or whether they can be ethically integrated to support creativity, critical thinking, and academic growth. The discussion offers practical guidelines for responsible and meaningful student use of GenAI while maximising its educational advantages. The talk argues that harmonising generative AI with academic ethics is crucial to fostering both integrity and innovation in student scholarship.
Keynote Session 5
12:00pm - 1:00pm
Aula Room
Dominik May, Horia Alexandru Modran
Location: Aula Room
Session Chair: Dominik May, University of Wuppertal
Session Chair: Horia Alexandru Modran, Transilvania University of Brasov

Katrin Temmen (Professor at Paderborn University, Paderborn, Germany)

"Context Matters: Contextualising Smart Technologies and STEM Outreach in Technical and Vocational Education"

The speaker: Professor Dr Katrin Temmen is a professor of the Didactics of Technology at Paderborn University, where she has led the Department of Didactics of Technology since 2010. Since 2023, she has also served as Dean of the Faculty of Computer Science, Electrical Engineering and Mathematics. From 2027 onwards, she will take over as chair of the German Faculty Council for Electrical Engineering and Information Technology (Fakultätentag Elektrotechnik und Informationstechnik). Temmen studied electrical engineering at TU Dortmund, where she completed her doctorate in high-voltage engineering and worked as a research assistant and senior engineer for several years. At Paderborn, she plays a central role in STEM outreach and recruitment. Her department runs the coolMINT.paderborn school laboratory and the coolMINT.forscht student research centre, where pupils can explore engineering and technology through hands-on experiments. She also heads the long-standing “Frauen gestalten die Informationsgesellschaft” project (“Women Shaping the Information Society”), which offers mentoring, taster courses, and “Spring” and “Autumn University” programmes to encourage girls to consider STEM subjects at university. Temmen has received multiple teaching awards at both TU Dortmund and Paderborn University. In 2025, she and her colleague Mesut Alptekin received first place in the GOLC Online Laboratory Award (Virtual and Augmented Reality Experiments category) for PEARL (Paderborn Electrical Engineering AR Laboratory), an augmented-reality learning environment that prepares students for practical electrical engineering lab work. The research focus of her group lies at the intersection of technical education, digitalisation, and STEM outreach. Key themes in her numerous externally funded projects include contextualised learning in engineering and technical teacher education; designing and evaluating innovative learning environments, such as lecture-hall and online/AR laboratories; using digital tools to support self-regulated learning in engineering; and developing learning concepts for universities, schools, and out-of-school learning venues using innovative media.

\nAbstract: \nContext is widely recognised as a key factor in meaningful STEM learning, yet it is often treated as an added motivational frame rather than as a core design principle. This keynote argues that context should be systematically engineered in order to make smart technologies and STEM education more relevant, engaging, and educationally effective. Drawing on research on authentic and contextualised learning, the talk discusses how different forms of authenticity—real-world, disciplinary, and personal—shape learners’ interest, motivation, perceived relevance, and, under well-designed conditions, their cognitive development.\nBased on examples from the University of Paderborn’s ecosystem, the keynote presents how contextualisation can be realised across a range of settings: outreach laboratories, mobile STEM programmes, research spaces for young learners, vocational colleges, teacher education, and engineering education. These cases show that effective contextualisation is not limited to placing content in a real-life scenario; it requires alignment of learning goals, learner characteristics, activities, materials, reflection, and participation structures. In this sense, context becomes a pedagogical design resource rather than a decorative background.\nThe keynote concludes by proposing that smart technologies in education should not only be innovative in technical terms, but also in didactical terms. Their educational value depends on whether they are embedded in contexts that learners experience as credible, meaningful, and actionable. Thus, the central question is not only what technologies can do, but how educational contexts can be designed so that these technologies support authentic learning and sustainable STEM engagement.\n
STE 2026 Closing Session
4:30pm - 5:30pm
Aula Room
Michael E. Auer, Dominik May
Location: Aula Room
Session Chair: Michael E. Auer, CTI Global Frankfurt
Session Chair: Dominik May, University of Wuppertal

This session closes STE 2026. It features the STE 2026 Best Paper Awards and will present the STE 2027 conference location.

STE PS_A6: Workshop 6
9:00am - 10:30am
Room U I7
Location: Room U I7

Global Remote Lab Initiative

Reinhard Langmann1, Michael Auer2

1: Edunet World Association, Germany; 2: International Association of Online Engineering, Austria

STE PS_A7: Parallel Session A7
2:30pm - 4:00pm
Room U I7
Karsten Henke, Daniel Cotfas
Location: Room U I7
Session Chair: Karsten Henke, Ilmenau University of Technology
Session Chair: Daniel Cotfas, Transilvania University of Brasov

Industry Applications

2:30pm - 2:48pm

Remote Survey Of Industrial Environments Via Internet-Operated Mobile Robotic Platform

Alexandru Stan1, Andrei Călin Bălan1, Cosmin Karl Bănică2, Costin Hedwig Gândescu2, Diana-Maria Cotorobai2, Claudiu Simion2, Valentin Simion2

1: University POLITEHNICA of Bucharest; 2: Lightning-Net SRL


2:48pm - 3:06pm

Work-in-Progress: Mobile Data Acquisition System used for Field Data Collecting from an Electric Vehicle Fleet used for implementation of a Holistic Energy Management System

George Ionut Sava, Rashid Muhenga, Mihai Machedon-Pisu, Paul Nicolae Borza

Universitatea Transilvania din Brașov, Romania


3:06pm - 3:24pm

Work-in-Progress: Evaluating tree height and DBH extraction from Mobile Laser Scanning using Deep Learning Workflow. A Case Study in Postăvaru Mountain

Lucian Mizgaciu, Petru Tudor Stancioiu, Marian Gheorghe Tudoran, Mihai Daniel Nita

Transilvania University of Brasov, Romania


3:24pm - 3:42pm

Transforming the Ball and Plate System into an Industrial Control Training Setup

Ammar Urgan1, Onur Akbati2

1: Yildiz Technical University, Turkiye; 2: İstanbul Technical University, Turkiye


3:42pm - 4:00pm

InternBot: Robotics and Digital Platform for Next-Generation Workflows

Simona Mihaela Bibic1,2,4, Mara Muntenașu1,3,4, Petru Cristian Grămescu1,3,4, Flavius Lung1,3,4, Andreea-Teodora Cornea1,3,4

1: National University of Science and Technology POLITEHNICA Bucharest, Romania; 2: Department of Applied Mathematics; 3: Faculty of Electrical Engineering; 4: Center for Research and Training in Innovative Techniques of Applied Mathematics in Engineering, National University of Science and Technology Politehnica Bucharest, Romania

STE PS_B6: Special Session KICK 4.0 1/2
9:00am - 10:30am
Room U I6
Claudius Terkowsky, Johannes Kubasch, Nils Kaufhold
Location: Room U I6
Session Chair: Claudius Terkowsky, TU Dortmund University
Session Chair: Johannes Kubasch, University of Wuppertal
Session Chair: Nils Kaufhold, TU Dortmund University

Special Session: Exploring Human–AI Collaboration in Cross-Reality Laboratories: From Opportunities to Risks – and Back Again (Kick 4.0)

Cross-reality laboratories (XR labs), integrating digital media, remote access, and virtual/augmented reality, are increasingly shaping laboratory-based teaching and learning across all study levels in STEM education. These environments not only foster subject-specific knowledge but also support the development of collaborative and agile learning skills essential for the future of work. With the rapid emergence of AI-based natural language processing (NLP) systems, however, new competence demands arise that go far beyond traditional laboratory education.\nThe Special Session builds on the ongoing project KICK 4.0, which explores how human–AI collaboration can be embedded into STEM laboratories to empower students both technically and reflexively. The aim of the session is twofold: first, to highlight innovative pedagogical designs that enable students to critically and productively interact with AI in laboratory contexts; second, to open a discussion on the broader implications of integrating XR labs and AI for higher STEM-education and vocational teacher training.  Contributions are invited that present empirical findings, conceptual frameworks, or practical implementations related to XR-enhanced, AI-supported laboratory teaching. \nWe aim to discuss the strengths of XR- and AI-enhanced labs, the weaknesses and limitations that challenge their effectiveness, the opportunities for fostering new forms of competence development, and the threats or risks that may arise from their broader implementation. Importantly, the session also invites perspectives from educators who may not wish to integrate such systems themselves yet but whose students nevertheless use them. These viewpoints can provide valuable insights into the challenges, tensions, and opportunities that arise when institutional teaching practices and students’ self-directed technology use diverge.\nBy bringing together researchers, educators, and practitioners, this Special Session aims to advance the debate on how digital transformation, XR labs, and human–AI collaboration can be systematically aligned with the goals of competence development, reflexivity, and sustainable innovation in STEM education
9:00am - 9:18am

AR-Flow: A Unity-Based Platform for Structured, Level-Oriented Learning in Fluid Mechanics

Alexander S. Sommer-Behr1, Daniel Aurich2, Jakub Neumann2, Daniel Figge1, Benedikt Tobias Müller3, Konrad E. R. Boettcher1, Andreas Brümmer2

1: Department of Biochemical and Chemical Engineering, Laboratory of Equipment Design, TU Dortmund University, Germany; 2: Department of Mechanical Engineering, Chair of Fluidics, TU Dortmund University, Germany; 3: Center for Higher Education, TU Dortmund University, Germany


9:18am - 9:36am

Redesigning a Problem-Based Wind Channel Laboratory with AI and AR Support: An Evaluation of Learning Effectiveness and AI Literacy

Nils Kaufhold, Konrad Boettcher, Marcel Schade, Claudius Terkowsky

TU Dortmund University, Germany


9:36am - 9:54am

Remote Laboratories Integrated with Artificial Intelligence: Design Principles for teaching

Fiorella Lizano-Sánchez1, Ignacio Idoyaga2, Luis Rodríguez-Gil3, Carlos Arguedas-Matarrita1

1: Universidad Estatal a Distancia, Costa Rica; 2: Universidad de Buenos Aires, Argentina; 3: LabsLand, Spain


9:54am - 10:12am

From Individual to Collaborative Learning - Extending a Mixed Reality Application for Engineering and Language Education in Laboratory Context

Mesut Alptekin1, Katrin Temmen1, Frederick Dunn2

1: Paderborn University, Germany; 2: Purdue University, USA


10:12am - 10:30am

ChemSPARK: A Virtual Reality Approach to Deep Learning and Curriculum Coherence in Biochemical and Chemical Engineering

Sophia M. Hamelbeck, Konrad E. R. Boettcher, Alexander S. Sommer-Behr, Tobias R. Ortelt, Norbert Kockmann

TU Dortmund, Germany

STE PS_B7: Special Session KICK 4.0 2/2
2:30pm - 4:00pm
Room U I6
Claudius Terkowsky, Johannes Kubasch, Nils Kaufhold
Location: Room U I6
Session Chair: Claudius Terkowsky, TU Dortmund University
Session Chair: Johannes Kubasch, University of Wuppertal
Session Chair: Nils Kaufhold, TU Dortmund University

Special Session: Exploring Human–AI Collaboration in Cross-Reality Laboratories: From Opportunities to Risks – and Back Again (Kick 4.0)

Cross-reality laboratories (XR labs), integrating digital media, remote access, and virtual/augmented reality, are increasingly shaping laboratory-based teaching and learning across all study levels in STEM education. These environments not only foster subject-specific knowledge but also support the development of collaborative and agile learning skills essential for the future of work. With the rapid emergence of AI-based natural language processing (NLP) systems, however, new competence demands arise that go far beyond traditional laboratory education.\nThe Special Session builds on the ongoing project KICK 4.0, which explores how human–AI collaboration can be embedded into STEM laboratories to empower students both technically and reflexively. The aim of the session is twofold: first, to highlight innovative pedagogical designs that enable students to critically and productively interact with AI in laboratory contexts; second, to open a discussion on the broader implications of integrating XR labs and AI for higher STEM-education and vocational teacher training.  Contributions are invited that present empirical findings, conceptual frameworks, or practical implementations related to XR-enhanced, AI-supported laboratory teaching. \nWe aim to discuss the strengths of XR- and AI-enhanced labs, the weaknesses and limitations that challenge their effectiveness, the opportunities for fostering new forms of competence development, and the threats or risks that may arise from their broader implementation. Importantly, the session also invites perspectives from educators who may not wish to integrate such systems themselves yet but whose students nevertheless use them. These viewpoints can provide valuable insights into the challenges, tensions, and opportunities that arise when institutional teaching practices and students’ self-directed technology use diverge.\nBy bringing together researchers, educators, and practitioners, this Special Session aims to advance the debate on how digital transformation, XR labs, and human–AI collaboration can be systematically aligned with the goals of competence development, reflexivity, and sustainable innovation in STEM education
2:30pm - 2:48pm

Work-In-Progress: Integration of an RAG Chatbot into a Fluid Mechanics Course

Johannes Kubasch1, Dominik May1, Nahin Uday1, Claudius Terkowsky2, Nils Kaufhold2, Konrad Boettcher2, Alina Meimers2, Justus Göring2, Uwe Wilkesmann2

1: University of Wuppertal, Germany; 2: TU Dortmund University


2:48pm - 3:06pm

Using AI to improve Learning Outcomes via LabCAR (Lab Constructive Alignment Recommender)

Tobias R. Ortelt, Benedikt Tobias Müller

TU Dortmund University, Center for Higher Eduction, Germany


3:06pm - 3:24pm

KICK 4.0: Human-AI Collaboration in Cross-Reality STEM Laboratories - A Brief Narrative Literature Review through the Lens of McLuhan’s Laws of Media

Claudius Terkowsky1, Nils Kaufhold1, Konrad Boettcher1, Alina Meimers1, Justus Göring1, Johannes Kubasch2, Dominik May2, Uwe Wilkesmann1

1: TU Dortmund University, Germany; 2: University of Wuppertal, Germany


3:24pm - 3:42pm

Digital Readiness in Museums: Integrating Telepresence Robots, VR/AR, and AI for Inclusive Learning

Merle Laurits1, Sirje Virkus2

1: Tallinn University, Estonia; 2: Tallinn University, Estonia


3:42pm - 4:00pm

Integrating LLMs and PINNs in a Computational Fluid Dynamics Course: AI Literacy, Cognitive Load, Effectiveness and Motivation in Remote Laboratories

Konrad Boettcher, Nils Kaufhold

TU Dortmund, Germany

STE PS_C6: Special Session MusicAI 1/2
9:00am - 10:30am
Room U I3
Fulvia Anca Constantin
Location: Room U I3
Session Chair: Fulvia Anca Constantin, Gheorghe Dima National Music Academy

Special Session: Artificial Intelligence and Music (MusicAI)

The MusicAI section showcases the transformative potential of artificial intelligence in the world of music. Participants will discover innovative tools that support creative and technical processes—from generating musical ideas and mastering tracks to creating backing accompaniments, separating stems, and designing entirely new sounds.\nAI can generate melodies, harmonies, and rhythms tailored to specific genres, preferences, or moods, serving as an inspiring starting point for fresh compositions. Through advanced techniques such as spectral compression and professional-grade mastering, AI systems can produce realistic vocal performances from MIDI inputs or craft unique vocal samples and instrument-like sounds from human voices. Beyond creation, AI enhances the entire music production ecosystem: it offers lyrical inspiration, restores archival recordings, analyzes listening behavior to recommend playlists, predicts emerging trends, and provides data-driven insights valuable to artists, marketers, and record labels alike.\nThis session invites participants to explore the boundless opportunities of integrating artificial intelligence and smart technologies into music. Both existing solutions and visionary concepts will be presented—encouraging innovation, experimentation, and new ways of thinking about the art and science of music creation.
9:00am - 9:18am

Digital Correlation Of Movements In Improving Violin Playing Techniques

Mădălina Făgădău1, Mircea Mihalcica1, Alina Maria Nauncef2, Mariana Domnica Stanciu1

1: Departament of Mechanical Engineering, Transilvania University of Brașov, Brasov, B-dul Eroilor 29, 500036 Romania; 2: Faculty of Music, Transilvania University of Brașov, B-dul Eroilor 29, 500360 Brașov, Romania


9:18am - 9:36am

AI-Enhanced Receptive Music Therapy for Hypertension Computational Analysis of Musical Features and Cardiovascular Outcomes

Ionut Poinareanu1,2, Madalina Dana Rucsanda1, Alexandra Belibou1, Andrea Elena Neculau1, Ruxandra Mirea2, Horatiu Rus1

1: Transilvania University of Brasov, Romania; 2: Ovidius University of Constanta, Romania


9:36am - 9:54am

The Synergy Between Nature, Art, Musical Culture, Engineering And Education - A Model Of Interdisciplinary Use Of Wood

Mariana Domnica Stanciu1,2, Florin Dinulica1, Aureliu Florin Halalisan1, Cristian Tilea3,4, Lucian Tilea4, Alin Rosioru4, Sebastian Rosioru4,5

1: Transilvania University of Brasov, Romania; 2: Romanian Society of Acoustics, 266 Pantelimon, 2 Sector, Office 4, 021652 București, Romania; 3: “Dunărea de Jos” University of Galati, Str. Domnească nr.111, Galaţi, 800201, Romania; 4: Tilia- Art Light Brăila, Bdul. Alexandru Ioan Cuza 231, Brăila, 810125, Romania; 5: National University of Science and Technology POLITEHNICA Bucharest, Splaiul Independentei no. 313, sector 6, Bucharest, 060042, Romania


9:54am - 10:12am

AI “Maestro”: A Pedagogical Partner in the Technical-Vocal and Interpretative Development of Opera Singers

Liviu-Valentin Iftene

Transilvania University of Brasov, Romania


10:12am - 10:30am

Analysis Of The Acoustic Models Of Stands For Forest Therapy

Mariana Domnica Stanciu1,2, Florin Dinulica1, Janos Timar1, Doru Ursutiu1,3, Maria Magdalena Vasilescu1

1: Transilvania University of Brasov, Romania; 2: Romanian Society of Acoustics, 266 Pantelimon, 2 Sector, Office 4, 021652 București, Romania; 3: Academy of Romanian Scientists, str. Ilfov nr. 3, sector 5, București, Romania

STE PS_C7: Special Session MusicAI 2/2
2:30pm - 4:00pm
Room U I3
Fulvia Anca Constantin
Location: Room U I3
Session Chair: Fulvia Anca Constantin, Gheorghe Dima National Music Academy

Special Session: Artificial Intelligence and Music (MusicAI)

The MusicAI section showcases the transformative potential of artificial intelligence in the world of music. Participants will discover innovative tools that support creative and technical processes—from generating musical ideas and mastering tracks to creating backing accompaniments, separating stems, and designing entirely new sounds.\nAI can generate melodies, harmonies, and rhythms tailored to specific genres, preferences, or moods, serving as an inspiring starting point for fresh compositions. Through advanced techniques such as spectral compression and professional-grade mastering, AI systems can produce realistic vocal performances from MIDI inputs or craft unique vocal samples and instrument-like sounds from human voices. Beyond creation, AI enhances the entire music production ecosystem: it offers lyrical inspiration, restores archival recordings, analyzes listening behavior to recommend playlists, predicts emerging trends, and provides data-driven insights valuable to artists, marketers, and record labels alike.\nThis session invites participants to explore the boundless opportunities of integrating artificial intelligence and smart technologies into music. Both existing solutions and visionary concepts will be presented—encouraging innovation, experimentation, and new ways of thinking about the art and science of music creation.
2:30pm - 2:48pm

Integrating Technology and 21st-Century Skills in Music Theory Education

Alexandra Belibou, Mădălina Dana Rucsanda

Transilvania University of Brasov, Romania


2:48pm - 3:06pm

Is There Room for Digital Technologies in Classical Vocal Pedagogy?

Noemi Karacsony, Ciprian Țuțu

Transilvania University of Brasov, Faculty of Music, Romania


3:06pm - 3:24pm

Edge AI for Music Therapy – Innovations in Sensing, Computing and Security

Crinela Pislaru, Doru Ursutiu, Cornel Samoila

Universitatea Transilvania Brasov, Romania


3:24pm - 3:42pm

Using AI to Analyze the Reception of Electroacoustic Music

Fulvia Anca Constantin

Gheorghe Dima National Music Academy, Romania

STE PS_D6: Parallel Session D6
9:00am - 10:30am
Room U I2
Maria Teresa Restivo, Petru Adrian Cotfas
Location: Room U I2
Session Chair: Maria Teresa Restivo, University of Porto
Session Chair: Petru Adrian Cotfas, Universitatea Transilvania Brasov

AI in Education & Industry

9:00am - 9:18am

Re-evaluating Laboratory Learning Activities in the Age of Online Laboratories and Artificial Intelligence

Catherine Mary Hills1, Ananda Maiti2, Alexander A Kist1

1: University of Southern Queensland, Australia; 2: Deakin University, Australia


9:18am - 9:36am

AI Virtual Student/Worker: An Approach to Design, Training, and Performance Optimization

Simona Mihaela Bibic1,3, Nicoleta Popa2,3, Vlad Dicu2,3

1: Departament of Applied Mathematics, National University of Science and Technology POLITEHNICA Bucharest, Romania; 2: Faculty of Applied Sciences, National University of Science and Technology POLITEHNICA Bucharest, Romania; 3: Center for Research and Training in Innovative Techniques of Applied Mathematics in Engineering, National University of Science and Technology POLITEHNICA Bucharest, Romania


9:36am - 9:54am

Education in Systems Engineering Aided by Artificial Intelligence

Galyna Tabunshchyk1, Nico Oblisz1, Peter Arras2, Alexander Fay1

1: Ruhr University Bochum, Germany; 2: KU Leuven, Belgium


9:54am - 10:12am

Advanced Seminar on Artificial Intelligence Technologies in a Product Development-oriented Mechanical Engineering Curriculum

Mario Wolf1, Julian Rolf1, Monika Thol2, Detlef Gerhard1

1: Digital Engineering Chair, Ruhr University Bochum, Germany; 2: Thermodynamics, Ruhr University Bochum, Germany


10:12am - 10:30am

Smart Technologies and Social Care Work under Disasters: Ethical and Pedagogical Challenges in Professional Training

Carmen Elisa Goras

University of Bucharest, Romania

STE PS_D7: Parallel Session D7
2:30pm - 4:00pm
Room U I2
Alexander A Kist, Petru Adrian Cotfas
Location: Room U I2
Session Chair: Alexander A Kist, University of Southern Queensland
Session Chair: Petru Adrian Cotfas, Universitatea Transilvania Brasov

AI in Education & Industry

2:30pm - 2:48pm

Humans Behind the Algorithms: Trust and Transparency in the Age of AI Workplaces

Flavia Zaim-Oprea, George-Andrei Niță-Pîrvu, Dan Gabriel Badea, Alexandru-Nicolae Negru

National University of Science and Technology POLITEHNICA Bucharest, Romania


2:48pm - 3:06pm

Forward Synergy: AI, Big Data, Remote and XR‑enhanced Technologies in Engineering Education

Maria Teresa Restivo

University of Porto, Portugal


3:06pm - 3:24pm

The Impact of Artificial Intelligence on the Academic Environment. A Qualitative Analysis on the Perspectives of Romanian Students

Diana-Andreea Moga

University of Bucharest, Romania


3:24pm - 3:42pm

Bridging Theory and Practice in Telecom Engineering: Spiral Projects with Linux, Software-Defined Radio and Artificial Intelligence

Emil Sorecau1,2, Mirela Sorecau1,2, Paul Bechet2

1: Land Forces Academy "Nicolae Bălcescu", Romania; 2: EMC ROBETECH, Romania


3:42pm - 4:00pm

Cybersecurity Education with AI-Generated Adversarial Scenarios

Ștefan-Vasile Nițu1, Bogdan Sibișan2, Tiberiu-Teodor Cocias3

1: Transilvania University of Brasov, Romania; 2: Transilvania University of Brasov, Romania; 3: Transilvania University of Brasov, Romania

STE-R PS6: Remote Session 6
9:00am - 10:30am
online
Marcel Freimuth, Christian Sauder
Location: online
Session Chair: Marcel Freimuth, University of Wuppertal
Session Chair: Christian Sauder, University of Wuppertal
9:00am - 9:18am

Environmentally Responsible Use of Generative Artificial Intelligence in Schools: Students’ and Teachers' Perspectives

Oscar Karnalim, Mewati Ayub, Maresha Caroline Wijanto, Wenny Franciska Senjaya

Maranatha Christian University, Indonesia


9:18am - 9:33am

Bridging Symbolic AI Planning and Robotic Control through Simulation in NVIDIA Isaac Sim

Igor Michael Verner, Erez Karpas, Sergei Gamer

Technion - Israel Institute of Technology, Israel


9:33am - 9:51am

Work-in-Progress: 9 Years Dedicated to Developing Students' Skills for the Industry of the Future

Pascal Vrignat1, Frédéric Kratz2, Manuel Avila1, Stéphane Begot1, Florent Duculty1, Jean-Chistophe Bardet1

1: Orleans University, France; 2: INSA Centre Val de Loire


9:51am - 10:06am

Leveraging Adjacent Information in DNNs for Image Denoising

Simona Mihaela Bibic1,5, Ana-Maria Marin2,5, Giulia Maria Gheorghiu2,5, Ioana Corina Bogdan3,5, Călin Tudor Topan4,5

1: Department of Applied Mathematics, National University of Science and Technology POLITEHNICA Bucharest, Romania; 2: Faculty of Electrical Engineering, National University of Science and Technology POLITEHNICA Bucharest, Romania; 3: Faculty of Electrical Engineering and Computer Science Transilvania University of Brasov, Romania; 4: Karlsruhe Institute of Technology: Karlsruhe, Baden-Wurttemberg, Deutschland; 5: Center for Research and Training in Innovative Techniques of Applied Mathematics in Engineering, National University of Science and Technology POLITEHNICA Bucharest, Romania

STE-R PS7: Remote Session 7
2:30pm - 4:00pm
online
Location: online