Find Academic Supervisors

• Databases and Algorithms
• Data Integration
• Natural Language Processing
• +3 more

Professor Elzbieta Pustulka is a faculty member at FHNW University's School of Business, affiliated with the Institute for Business Informatics. Her research centers on databases, NLP, and AI-driven business process optimization. Research explores database pedagogy through gamification (SQL Scrolls), NoSQL implementations for ERPs, and automated information extraction techniques. Recent work emphasizes CI/CD practices in database development and educational game design for programming concepts. She supervises graduate students in projects spanning database indexing, logistics simulations, and AI-driven reporting systems. No scientific awards are noted.

• Applied Mathematics
• Computer Science
• Blockchain Technology
• +3 more

Халил Снопче is a Regular Professor (part-time) at the Faculty of Modern Sciences and Technologies, South East European University (SEEU) in Tetovo, North Macedonia. He holds a Doctorate in Computer Science and Applied Mathematics from SEEU (2011), a Master's in Numerical Analysis from the University of Tirana (2007), and a Bachelor's in Mathematics from Ss. Cyril and Methodius University (1997). His academic roles include Deputy Assembly Member of North Macedonia (2020–present), Associated Professor (2016–2020), and various administrative positions like Pro-Dean for Administrative Issues (2008–2010). His research focuses on applied mathematics, parallel processing, blockchain applications in education, and determinant calculation algorithms. Over 20+ publications since 2016 span topics like blockchain-based academic credential verification, pandemic-era online education assessment, and computational mathematics optimizations. He has contributed to interdisciplinary projects such as a national research ranking platform and an automated job-market-university curriculum matching model. His professional experience includes 15+ years in education and research roles, including teaching at high school and university levels. He has held political roles such as Head of Gostivar Municipal Council (2000–2004). Fluent in Albanian (native), Macedonian (C2), Turkish (C1), and other languages, his work bridges technical innovation with societal challenges.

• Foreign Language Education
• Tourism Management
• Intercultural Communication
• +3 more

Prof. Dr. Elena Cickovska is an Assistant Professor at the Faculty of Tourism and Hospitality Management (FTU) within Ss. Cyril and Methodius University in Skopje, specializing in German language education and intercultural communication. Her work focuses on language pedagogy tailored for tourism professionals, curricular development aligned with market needs, and the integration of digital tools in education. She collaborates closely with institutions like the Goethe-Institut, contributing to regional educational frameworks for language instruction. Research interests span multilingual communication in business contexts, the evolving role of educators in higher education, and generational learning dynamics (Gen Z). She emphasizes bridging language education with practical tourism sector demands, particularly in Macedonia and Europe. Key contributions include developing blended learning platforms for tourism students and analyzing intercultural competencies among tourist guides. Her publications address mismatches between language education offerings and industry needs, post-pandemic teaching methodologies, and the importance of multilingual skills for entrepreneurs. Ongoing work explores curriculum reforms to better serve vocational student populations and global business communication strategies.

• Cybersecurity
• Educational Technology
• Biometric Systems
• +5 more

Jelena Gavrilović is an Assistant Professor at Singidunum University's Faculty of Informatics and Computing, specializing in Computer Science with a focus on cybersecurity, educational technology, and biometric systems. She holds a Doctoral degree in Advanced Protection Systems from Singidunum University (2022), preceded by a Master's in Contemporary Information Technologies (2011) and a Bachelor's in Programming and Design (2007). Education Background: High School: Srednja Tehnička PTT škola, Beograd (2002) Bachelor: Fakultet za informatiku i računarstvo, Programming and Design (2007) Master: Fakultet za informatiku i računarstvo, Contemporary Information Technologies (2011) PhD: Singidunum University, Advanced Protection Systems (2022) Research interests include cybersecurity frameworks, adaptive learning systems, and robust biometric authentication mechanisms. Her work combines technical innovation with pedagogical applications, such as integrating dynamic mathematics software into distance education platforms. Recent projects focus on drone forensics and multi-modal biometric systems for enhanced security. Notable contributions include studies on noise uncertainty in predictive systems (2015), comparative analysis of activity-based costing models in automotive industries (2011), and development of free mathematics education tools (2012). Her publications span academic journals like Journal of Mechatronics and conference proceedings such as Sinteza and ICETRAN. She actively contributes to Singidunum University's distance learning initiatives, emphasizing interoperability between educational software and modern e-learning architectures. Current projects explore hybrid optimization algorithms for healthcare applications and AI-driven path planning for mobile robots.

Ricardo Colomo-PalaciosView profile

Professor

• Human Factors in Computing
• Project Management in Information Systems Development
• Global & Distributed Software Engineering
• +7 more

Ricardo Colomo-Palacios is a Full Professor at the Department of Computer Science and Communication at Østfold University College, Norway. He coordinates the DigiTech research group associated with the Digital Society research priority area. Previously, he worked at Universidad Carlos III de Madrid, Spain. His educational background includes a PhD in Computer Science from Universidad Politecnica of Madrid (2005) and an MBA from the Institute of Empresa (2002). He has professional experience as a Software Engineer, Project Manager, and Software Engineering Consultant, including work at INDRA, a leading Spanish IT company. Colomo-Palacios' research spans several interconnected areas focusing on human aspects of computing and software engineering. His primary interests include Human Factors in Computing, Project Management in Information Systems Development, Global & Distributed Software Engineering, and Systems, Services and Software Process Improvement & Innovation. He also investigates Management Information Systems, Computing Profession Studies, Business Software, and Innovation in IT, with recent work emphasizing cybersecurity applications in critical infrastructure. His recent publications demonstrate a strong focus on cybersecurity applications in critical infrastructure, DevSecOps frameworks, visual analytics for supply chains, and social robotics security. The research shows a clear trend toward integrating security practices throughout the software development lifecycle while addressing real-world challenges in critical systems and infrastructure. He leads several significant research projects including DigiMat (Smart, transparent and sustainable food supply chains), EduTech (Technological assistance to accessibility in Virtual Higher Education), RECYCIN (Reinforcing Competence in Cybersecurity of Critical Infrastructures), and SecuRoPS (User-centred Security Framework for Social Robots in Public Space). As Coordinator of the DigiTech research group, Colomo-Palacios oversees research initiatives within the Digital Society priority area. His work bridges academic research with practical applications in industry, particularly in the areas of software engineering process improvement and cybersecurity for critical infrastructure.

• Empirical Software Engineering
• Software Quality
• Requirement Engineering
• +3 more

Deepti Mishra is a Professor at the Department of Computer Technology and Informatics at NTNU, affiliated with the Faculty of Information Technology and Electrical Engineering. She leads the Intelligent Systems and Analytics Research Group and the Educational Technology Laboratory. Previously, she held positions as Associate Professor at Monash University (Malaysia) and Assistant Professor at Atilim University (Turkey). Her research focuses on Empirical Software Engineering, Human-Robot Interaction, and Sustainability. Current projects include collaborative research-based education for wind farms and marine plastic pollution solutions, funded by The Research Council of Norway and DIKU. Her research interests span Human-Computer Interaction, Software Quality, and Requirement Engineering. Recent work emphasizes social robotics applications in healthcare, stress mitigation, and educational environments. She actively contributes to the Excited Centre for Excellent IT Education and the NTNU Active Aging Team. Over 50 peer-reviewed publications demonstrate her expertise in AI-driven robotics, edge computing, and software ecosystem decision-making. Publications highlight innovations in gesture-controlled robotics frameworks, multi-pose action recognition systems, and ROS-based human-like robot actions. Key methodologies include systematic reviews, multi-criteria decision analysis, and deep learning architectures. Ongoing projects aim to bridge technology and societal challenges through interdisciplinary collaboration.

Kari RönkköView profile

Professor

• User-Centered Design
• Artificial Intelligence in Education
• Sustainable Urban Development
• +4 more

Kari Rönkkö is a Professor in Informatics at the Department of Design, Faculty of Business, Kristianstad University. He leads the Design A* Research Collaboration (DARC) and specializes in user-centered design, AI integration in education, sustainable urban development, and interaction design. His research explores AI’s ethical implications, teacher roles in digital education, and bridging gaps between algorithms and human understanding. Education Background: Prior to Kristianstad University, Rönkkö held roles at Lund University and Blekinge Institute of Technology, focusing on computer science, software engineering, and work science education. Research Interests: His work spans AI literacy in education, sustainable city co-creation, sensor-based health monitoring, and participatory design. Key projects include 'UTAI' (AI in Education) and 'HÅSS' (Sustainable Urban Development), emphasizing ethical tech integration and community-driven solutions. Publications: Over 50 peer-reviewed articles and book chapters, including studies on AI’s impact on learning, cross-cultural AI adoption, and UX methodologies. Recent work highlights AI’s role in fostering creativity and addressing educational equity. Awards: Recognized as a 'Merited teacher' for innovative pedagogical approaches. Advising & Grants: Supervised 53+ students, including doctoral candidate M. Törnblom. Actively involved in funding initiatives and serves on academic review boards. Labs/Teams: Co-founder of DARC, fostering design-driven research collaborations across disciplines.

Reinhard BernsteinerView profile

Adjunct Professor

• Internet of Things
• Augmented Reality
• Knowledge Management
• +5 more

Reinhard Bernsteiner is an Adjunct Professor at the University of Nebraska at Omaha (Department of Information Systems & Quantitative Analysis) and a long-standing lecturer at Management Center Innsbruck, where he teaches in programs including Industrial Engineering & Management (Master), Management, Communication & IT (Bachelor/Master), and Mechatronics (Bachelor). His academic career spans over two decades, with additional roles such as Lecturer at the Higher Technical Vocational School for Industrial Engineering since 1995. He holds a Dr. from the University for Health and Life Sciences (2004–2008) and a Mag. from Johannes Kepler University (1985–1989). Bernsteiner's research centers on emerging technologies and their societal impacts. Primary interests include: Internet of Things (IoT) : Applications in education and industry Augmented Reality (AR) : Industrial training and educational tools Knowledge Management : Frameworks for open innovation AI & Digital Transformation : Ethical implications and business integration Educational Technology : Enhancing learning through VR, gamification, and data analytics His 15 most recent publications (2024–2025) reveal a strong focus on IoT/AR in vocational education, AI-driven project management, blockchain in healthcare, and digital transformation challenges. Common themes include empirical studies on technology adoption, systematic literature reviews, and interdisciplinary approaches bridging engineering, business, and pedagogy. Awards & Recognition: Best Paper Award at EDULEARN for Motivating Students to Acquire Digital Skills (2021) Bernsteiner has supervised 100+ bachelor, diploma, and master theses, primarily exploring IoT, AR, data science, and business process optimization. Students investigated topics ranging from AI ethics to sustainable supply chains, reflecting his interdisciplinary mentorship. No grant or lab affiliations were documented.

• Vocational Education
• Educational Technology
• Blended Learning
• +6 more

Prof. Dr. Silvia Dreer is a Professor at the Upper Austrian University of Education (PH-OÖ) , affiliated with the Institute for Vocational Education and Training . She specializes in integrating technology into vocational pedagogy, focusing on Blended Learning , Media Education , and Industry 4.0 curriculum adaptations. Her work spans teaching, research, and Austria-wide pilot studies on digitalization in education. Education: PhD in Educational Technology (University of Duisburg-Essen, 2008); Master’s in Business Administration/E-Learning (WWEDU Worldwide Education, 2010). Research Interests: Silvia Dreer’s research emphasizes technology’s role in vocational training, including Interactive Multimedia , Curriculum Development , and Self-Directed Learning . She leads Austria-wide studies on Industry 4.0’s impact on technical college curricula and develops Blended Learning frameworks using MS Teams and Zoom. Publications & Trends: Her 15 most recent articles focus on Vocational Education and Technology Integration , with subfields like Media Didactics , Connectivist Learning , and Curriculum Modernization . These works highlight evolving digital tools in pedagogy and their alignment with industry needs. Scientific Awards: 2012: Forscherinnen-Award for Konnektivistisches Lernen mit Web 2.0 (Upper Austria Research). Advising & Grants: She advises on Blended Learning and E-learning projects, contributing to Online Campus Virtuelle PH and E-Didaktik training. Grants include Austria-wide pilot funding for Industry 4.0 curriculum research.

Erwan LE PENNECView profile

Professor

• Data Science
• Artificial Intelligence
• Statistics
• +5 more

Erwan LE PENNEC is a Professor in the Department of Applied Mathematics at École Polytechnique, France, where he has been since 2013. He is affiliated with the Center for Applied Mathematics (CMAP) and the SIMPAS team, focusing on data science, artificial intelligence, statistics, and signal processing. His research spans health applications (notably women’s health) and reinforcement learning, often collaborating with interdisciplinary teams. He leads programs like the MScT Data Science and AI for Business, and contributes to executive education initiatives at Polytechnique. Education: Habilitation à Diriger des Recherches (HdR), Université Paris Sud, 2013 PhD in Applied Mathematics, École Polytechnique, 2002 Master in Mathematics and Artificial Intelligence, ENS Cachan, 1997 Research interests emphasize health and AI-driven solutions, with contributions to medical diagnostics (e.g., neonatal acidemia detection via DeepCTG®), image processing, and robust reinforcement learning. His work bridges theoretical foundations and practical applications, including collaborations with industry partners like Air Liquide and Sonio. Teaching includes courses on data science, statistics, and Python/R tools. He has advised over 20 PhD/PostDoc students, focusing on topics like reinforcement learning, medical imaging, and statistical modeling.

Jbid ArsenyanView profile

Associate Professor

• Collaborative Product Development
• Open Innovation
• Crowdsourcing
• +5 more

Dr. Jbid Arsenyan is an Associate Professor in the Strategy and Innovation Academic Area at Rennes School of Business, where he has been employed since September 2017. His academic background includes a PhD in Industrial Engineering from Galatasaray University (2011), an M.Sc. from Grenoble (2005), and a B.Sc. in Industrial Engineering from Galatasaray University (2004). Previously, he served as Assistant Professor at Bahcesehir University (2013-2017) and held teaching roles there from 2008-2012. His research focuses on collaborative product development , open innovation , crowdsourcing , fuzzy decision-making , and AI in management . He has published extensively on virtual influencers, AI ethics, crowdsourcing methodologies, and multi-criteria decision frameworks. Notable collaborations include Agata Mirowska and Anke Piepenbrink. Recent publications highlight trends in human-virtual agent interaction (e.g., empathy in social media engagement), AI's role in management research , and digital frugality in organizational contexts. His computational literature reviews and empirical studies bridge AI, ethics, and business strategy. Scientific awards include the Certificate of Merit at ICMEEM’11 and the Bourse d’Excellence from the French government. His work has appeared in International Journal of Human-Computer Studies , Technological Forecasting and Social Change , and IEEE Transactions on Engineering Management . He contributes to pedagogic innovation through instructional design and knowledge management frameworks.

• Machine Learning
• Enterprise Architecture
• Conceptual Modeling
• +3 more

Philipp-Lorenz Glaser is a PreDoc Researcher at the Department of Business Informatics, Technische Universität Wien. His research focuses on conceptual modeling, enterprise architecture, machine learning applications, and knowledge graph construction. Role: PreDoc Researcher (E194-03) Contact: philipp-lorenz.glaser@tuwien.ac.at His work explores methods for encoding semantic information in conceptual models to improve machine learning applications, with a focus on FAIR datasets and hybrid modeling approaches. Key themes include: Enterprise architecture modeling practices Graph-based data representation Integration of textual and graphical modeling Development of modeling tools (e.g., Sprotty-based solutions)

• Software Engineering
• Requirements Engineering
• Variability Modeling
• +4 more

Paul Grünbacher is a Lecturer at the Technische Universität Wien , affiliated with the Department of Information Systems Engineering . His research focuses on Software Engineering , Requirements Engineering , and Variability Modeling , with a particular emphasis on value-based approaches and stakeholder management. Grünbacher’s research interests are centered around improving software quality and traceability through value-based decision-making. He explores Variability Modeling to address software complexity, Traceability for requirement alignment, and Stakeholder Management in global development contexts. His publications highlight advancements in Value-Based Software Engineering , Variability Modeling , and Requirements Traceability . Key trends include cost-benefit analysis, automated traceability tools, and stakeholder-oriented methodologies in software development. Grünbacher has supervised several students, including D. Winkler , C. Pichler , and F. Schnitzhofer , guiding their work in areas like heterogeneous environments and business document modeling. Contact: paul.gruenbacher@tuwien.ac.at

Ernest TenienteView profile

Professor

• Software Engineering
• Database Systems
• Conceptual Modeling
• +4 more

Ernest Teniente is a full professor at the Universitat Politècnica de Catalunya — BarcelonaTech and director of the inLab FIB . He specializes in software engineering, databases, and IoT systems, with a focus on conceptual modeling, data integration, and automated reasoning. His research spans 20 years, yielding over 60 peer-reviewed publications and leading roles in national/international projects like SUDOQU and DAGIA. He has supervised numerous students across BSc, MSc, and PhD levels, contributing to projects such as an AI-based police patrol tool and semantic IoT infrastructure monitoring. Teaching experience includes undergraduate/postgraduate courses on software analysis, requirements engineering, and advanced databases. He has collaborated with institutions like Mossos d’Esquadra and Barcelona City Council on projects like the Artificial Intelligence-assisted police patrol manager and LinDaFIX for social welfare data analysis. His work bridges academia and industry, emphasizing practical applications in transportation optimization (SORT project) and cybersecurity. Research Highlights : Conceptual modeling and automated reasoning for database schemas IoT semantic integration and critical infrastructure monitoring Artifact-centric business process modeling in UML Projects : SUDOQU (data quality via ontologies) DAGIA (threat detection in ICT infrastructures) REMEDiAL (ontology-based software development) He regularly serves on program committees for top conferences and has coordinated projects funded by Spain’s Ministry of Science. His labs and teams, notably inLab FIB, drive innovation in AI applications, DevOps benchmarking, and IoT ecosystems.

Arantza AldeaView profile

Senior Lecturer

• Artificial Intelligence
• Healthcare Technology
• Data Analysis
• +3 more

Dr. Arantza Aldea is a Senior Lecturer in Computing at the School of Engineering, Computing and Mathematics, Oxford Brookes University. She coordinates the Computing Foundation program and oversees foundation degree collaborations with partner colleges. Her research focuses on AI-driven healthcare solutions, particularly diabetes management systems, and spans areas such as decision support systems, usability engineering, and semantic technologies. She leads projects like ABLE DOC (Avatar-Based Learning for Diabetes) and COORDINATE (Cloud-based Diabetes Management in Colombia), emphasizing interdisciplinary collaboration between computing, healthcare, and education. Her educational background includes a BSc and PhD in relevant fields. Research interests include healthcare technology, data analytics, and software engineering, with affiliations to the Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute, and groups like the Applied Software Engineering and Data Analytics Group (ASEDA). Recent work highlights the development of mHealth applications and cloud platforms for diabetes care, validated through clinical trials in Colombia. Dr. Aldea’s publications reflect her focus on healthcare informatics, with notable contributions to AI-based decision support systems, semantic multi-criteria analysis, and educational tools like PILET for programming education. Her work bridges technological innovation with real-world healthcare challenges, aiming to improve patient outcomes through personalized and accessible solutions.