جست‌وجوی استاد و پژوهشگر

Ole Schultzمشاهده پروفایل

دانشیار

• Internet of Things (IoT)
• Embedded Systems
• Wireless Sensor Networks
• +۵ مورد دیگر

Ole Schultz is an Associate Professor in the Department of Engineering Technology and Didactics Energy Technology and Computer Science at DTU. His work focuses on IoT, embedded systems, and sustainable development applications in education and environmental monitoring. He holds a Master's in Industrial IT from Aalborg University (2004-2006) and a Diplomingeniør from Ingeniørhøjskolen i Odense (1979-1983). Research Interests: Schultz specializes in IoT sensor networks, embedded programming, and smart infrastructure solutions. His work addresses challenges in smart cities, environmental monitoring, and educational technology. He actively contributes to UN Sustainable Development Goals related to sustainable cities and communities (SDG 11) and climate action (SDG 13). Key Projects: InnoTech TaskForce (2023-2025): Developing digital solutions for green transition. F2D2: The Community for Dynamic Data (2021-2030): Cybersecurity and smart city initiatives. Green Downspout (2021-2022): IoT-based rainwater management systems. Awards: Recipient of the prestigious AEG Elektron prisen in 2016 for outstanding contributions in electrical engineering. Labs & Teams: Leads the NeuralFidelity Initiative (2023-2024) focusing on EEG signal precision analysis and collaborates with the InnoTech and F2D2 research communities.

Jussi Ville Mikkonenمشاهده پروفایل

دانشیار

• UX Design
• Knowledge Design
• Innovative Teams
• +۶ مورد دیگر

Jussi Ville Mikkonen is an Associate Professor at the Department of Engineering Technology and Didactics at the Technical University of Denmark (DTU) . His research focuses on innovative design methodologies, knowledge sharing in interdisciplinary teams, and the integration of generative AI in creative processes. Key areas of expertise include UX design, mood board generation via GANs, e-textile fabrication, and collaborative innovation frameworks. He has published extensively on topics like cross-cohort collaboration in engineering education and knowledge design in healthcare contexts. Recipient of 2022 Honorable Mention for work with Eeva Pouta on multi-layer weave structures Active in international conferences such as SEFI, NordDesign, and IASDR Collaborations span academic and industry partners in Denmark and beyond His work bridges physical computing, human-centered design, and computational tools, emphasizing practical applications in education and healthcare sectors. Current research trends show strong focus on AI-driven design tools and material innovation in textiles.

• Education
• Special Didactics
• Inclusive Education
• +۳ مورد دیگر

Liina Malva is a Lecturer of Special Education at Tallinn University (0.6 FTE) and holds additional roles including a Post-Doc position at the Max Planck Institute (Germany, 0.5 FTE), Special Education Teacher positions at Lagedi School, and Visiting Lecturer roles. Her research focuses on inclusive education, special didactics, computational thinking integration in education, and teacher training. She has conducted studies on curriculum coherence, adaptive educational games, and teacher pedagogical knowledge assessment. Her work bridges theoretical and practical aspects of education, emphasizing policy implementation and classroom innovations. Education: Master’s degrees in Education (2015 and 2023 from University of Tartu). Research Interests: Special education, inclusive practices, computational thinking pedagogy, teacher competency development, and curriculum design. Recent publications highlight her contributions to adaptive learning technologies, school leadership’s role in inclusive education, and differentiated instructional materials for diverse classrooms. She has advised master’s theses on curriculum coherence and learning materials development.

Anca VASILESCUمشاهده پروفایل

مدرس

• IoT (Internet of Things)
• E-Learning and Distance Education
• Formal Modelling of Processes
• +۷ مورد دیگر

Anca VASILESCU is a Lecturer at the Department of Mathematics and Computer Science, part of the Faculty of Mathematics and Computer Science at Transilvania University of Brașov. Her research focuses on formal modeling of non-sequential processes, distributed systems, IoT applications in healthcare and smart living, e-learning methodologies, and cybersecurity. She has contributed to projects such as the FitPi wearable IoT solution and e-UPU emergency room triage system. Her academic work spans interdisciplinary areas including smart education technologies (Long Life Learning, Distance Learning), digital literacy, and healthcare informatics. She also explores bio-inspired architectures for wireless sensor networks and cybersecurity in IoT ecosystems. Publications highlight her expertise in machine learning for medical data processing, formal methods in hardware design, and innovative air quality monitoring systems. Her work is featured in journals like Environmental Engineering and Management Journal and conferences such as the Balkan Conference on Informatics. While no scientific awards are explicitly listed, her contributions to IoT integration in emergency scenarios and educational technology reflect impactful applied research. Advising and grants details are not provided in available materials.

Olga Bodroža-Pantićمشاهده پروفایل

استاد

• Graph Theory
• Combinatorics
• Theoretical Computer Science
• +۳ مورد دیگر

Olga Bodroža-Pantić is a Professor at the Department of Mathematics and Informatics , Faculty of Sciences , University of Novi Sad . Her research spans Graph Theory , Combinatorics , and Discrete Mathematics , with significant contributions to the study of Hamiltonian cycles , 2-factors , and Kekule structures in grid graphs and topological surfaces like torus and Klein bottle. Email: bodroza@dmi.uns.ac.rs Recent publications focus on graph enumeration and structural analysis in grid graphs, alongside interdisciplinary applications in mathematical biology and food production processes . Her work on the MTE-model highlights interests in mathematics education.

Christian Budtzمشاهده پروفایل

مدرس

• Cloud Computing
• Data Assimilation
• Cybersecurity
• +۳ مورد دیگر

Christian Budtz is an External Lecturer at the Department of Engineering Technology and Didactics, Technical University of Denmark. His work focuses on cloud systems, data assimilation, and cybersecurity. He contributes to projects involving cloud infrastructure design, data transport security, and agricultural technology integration. Research interests include developing methodologies for data assimilation in environmental monitoring, securing cloud endpoints, and optimizing farm management systems. His publications emphasize collaborative reports on cloud configuration, data storage solutions, and project planning frameworks. He participated in the 'Nitrogen Sensor for Soil Sustainability' project (2019–2021), addressing soil sustainability and weather forecasting through sensor technologies. Despite no listed awards, his contributions to cloud and agricultural systems highlight technical expertise in interdisciplinary engineering solutions.

Bo Ea Holst-Christensenمشاهده پروفایل

دانشیار

• Computer Science
• Network Security
• Education Technology
• +۳ مورد دیگر

Bo Ea Holst-Christensen is an Associate Professor in the Department of Engineering Technology and Didactics at the Technical University of Denmark. Their expertise spans Computer Science , Network Security , and Education Technology , with a focus on practical teaching methods and secure digital systems. Key Research Areas: Network Security, Email Systems, Healthcare Technology, and Pedagogical Innovation Notable Contributions: Development of telemedicine platforms for learning, optimization of lecture time through active learning techniques Holst-Christensen has contributed to research on SMTP-based email security and telemedicine systems , with publications spanning topics like authentication protocols, distributed systems, and clinical rehabilitation technologies. Their work aligns with UN Sustainable Development Goals in healthcare and digital security. They have participated in projects such as the IT Sikkerhedsambassadør (2019-2022) and the Diplomingeniøruddannelse i Sundhedsteknologi (2008-2012), and have delivered presentations at cybersecurity summer schools and conferences on motivation management in education.

• User Experience (UX)
• Usability Engineering
• Interaction Design
• +۵ مورد دیگر

Armin Egli is a Lecturer at the Lucerne School of Computer Science and Information Technology, part of Lucerne University of Applied Sciences and Arts. His expertise spans UX/UI design, usability, interaction design, and human-centered innovation methods. He focuses on digital transformation that prioritizes human needs, blending creativity with technical implementation through design thinking and prototyping. Educations: Master of Arts in Design (ZHdK) CAS in Higher Education Didactics (HSLU) CAS in Industrial Design (HSLU) Electrical Engineering with IT Specialization (FH Rapperswil) His research explores how art, design, and technology intersect to create impactful innovations. He emphasizes creative coding, IoT applications, and student-centered pedagogy in education. With over two decades of industry experience, he has worked as a developer, architect, and UX specialist. No scientific awards or specific grants/advising activities are listed in the provided information.

• Software Engineering
• Clean Code
• Professional Software Development
• +۱ مورد دیگر

Roland Gisler is a Lecturer at the Lucerne School of Computer Science and Information Technology, part of the Lucerne University of Applied Sciences and Arts (HSLU). He is based at the Campus Zug-Rotkreuz and specializes in professional software development, clean code practices, and software engineering. His professional experience includes roles as a software developer, architect, and coach at companies like komax AG, Softec AG, Syseca AG, and Gisler Informatik. Education: Fachhochschuldiplom in Informatik from HTL Abendtechnik der Innerschweiz, Certificate in University Didactics from HSLU. He is actively involved in the professional community as a member of the Java User Group Switzerland (JUGS) and the Schweizer Informatik Gesellschaft (si) . His expertise spans software architecture, clean code implementation, and software engineering methodologies.

Oliver Hirschiمشاهده پروفایل

مدرس

• Information Security
• Cybersecurity
• Risk Management
• +۴ مورد دیگر

Oliver Hirschi is a Lecturer and Head of the «eBanking – aber sicher!» project at the Lucerne School of Computer Science and Information Technology, Hochschule Luzern. He also serves as Managing Director of SecAware GmbH since 2019. His professional background includes over 15 years of expertise in information security, covering roles as Senior Researcher and IT Teacher. Hirschi holds advanced qualifications including a Master of Science in Business Information Technology, a Master of Advanced Studies in Information Security, and certifications in university didactics and ISO/IEC 27001 Lead Auditor. His research focuses on cybersecurity, risk management, and awareness programs, particularly in banking and SME sectors. Education highlights include: CAS in University Didactics (HSLU, 2016–2019) M.Sc. in Business Information Technology (HSLU, 2013–2015) MAS in Information Security (HSLU, 2009–2010) Dipl. Ing. Informatik FH (HSLU, 1997–2000) Research interests emphasize practical cybersecurity solutions, including secure banking practices, threat analysis, compliance frameworks, and employee awareness campaigns. His publications include the widely cited Informationssicherheitshandbuch für die Praxis and annual reports on eBanking security trends. He actively engages in national studies on Swiss SME cybersecurity challenges and frequently presents at conferences on emerging cyber threats and mitigation strategies. Achievements include: ISO/IEC 27001:2013 Lead Auditor certification Leadership in the «eBanking – aber sicher!» initiative since 2013 Contributions to national cybersecurity awareness campaigns He advises on information security strategies for financial institutions and SMEs, combining academic research with industry实践. His team collaborates with banks and technology firms to develop practical security solutions, emphasizing real-world applicability and regulatory adherence.

Aygul Zagidullinaمشاهده پروفایل

مدرس ارشد

• Data Science
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Aygul Zagidullina is a Senior Lecturer and Researcher at the Lucerne University of Applied Sciences and Arts, specifically affiliated with the Lucerne School of Computer Science and Information Technology. She serves as Head of Applied Data Intelligence in Continuing and Executive Education, contributes to teaching and research in Data Science, Machine Learning, and Artificial Intelligence, and co-organizes academic initiatives like Women in AI and the Women in Data Science (WiDS) conference in Zürich. Ph.D. in Quantitative Methods (specialization: High-Dimensional Covariance Matrix Estimation) Diploma in Applied Mathematics (B.Sc. + M.Sc.) Postgraduate Machine Intelligence Program in Computer Science Certificate in Didactics for Higher Education Her research focuses on data-driven solutions at the intersection of Statistics, Computer Science, and Finance, with applications in portfolio optimization, NLP bias mitigation, and image quality assessment. She emphasizes the societal impact of AI and its integration into industry workflows. Recent projects include hydropower digital twins, AI for procurement documentation, and LLM training via user feedback. She authored a Springer textbook on High-Dimensional Covariance Matrix Estimation in 2021 and has co-authored peer-reviewed articles in the Journal of Financial Econometrics (2021, 2024). Her work spans theoretical rigor and practical implementation across finance, energy, and healthcare domains. Aygul contributes to academic leadership through roles such as Module Responsible in AI Competition (Kaggle Challenge), Co-Head of the CAS Machine Learning and Data Science for Medicine and Health programs, and Thesis Supervisor in AI & ML. She collaborates with industry partners (e.g., Paretolabs, Konplan) and leads research at the AI Robotics Research Lab.

• Creative Coding
• Art and Technology
• Web Technologies
• +۳ مورد دیگر

Hanna Züllig is a Lecturer at the Lucerne School of Computer Science and Information Technology (Lucerne University of Applied Sciences and Arts). She holds a Master's in Media and Computer Science Didactics (completed at PH SZ, UZH, PHLU, and HSLU) and has an interdisciplinary background merging art, design, and technology. Her primary teaching focuses include Creative Coding and Web Technologies for interdisciplinary students. Education: Studied Vermittlung von Kunst und Design at the Zurich University of the Arts (formerly HGKZ), and completed a Master's in Media and Computer Science Didactics. Her research emphasizes Creative Coding as an artistic practice and learning culture, alongside pedagogical frameworks for interdisciplinary collaboration. She proposes the concept of a 'Trading Zone'—a space facilitating situational understanding across disciplinary divides without full conceptual alignment. Züllig co-curated the early art space «projekt raum» in Zurich, exhibited her own artistic work, and founded the digital studio «internauta» in the 1990s, creating web applications for architecture, design, and art clients. She has also received multiple funding awards for her work. Grants/Awards: Various Förderpreise for her artistic and interdisciplinary projects.

Benoît Frénayمشاهده پروفایل

استاد

• Machine Learning
• Data Analysis
• Artificial Intelligence
• +۴ مورد دیگر

Benoît Frénay is a Professor at the Faculty of Computer Science of the University of Namur (UNamur), affiliated with the Namur Digital Institute and the Research Institute in Didactic and Education. He holds a Doctor of Science in 'Uncertainty and Label Noise in Machine Learning' from Université Catholique de Louvain (2013). His research focuses on machine learning, data analysis, and their applications in domains like sign language recognition, environmental monitoring, and medical imaging. He leads major projects such as SMARTSENS (sensors and machine learning for environmental monitoring) and VAMOS (Venus atmospheric exploration). His work bridges theoretical advances with real-world applications, including healthcare, industrial anomaly detection, and open government data systems. Notable contributions include developing robust clustering algorithms, energy-efficient neural networks, and interactive visualization tools for dimensionality reduction. Education: Ph.D. in Machine Learning (2013, UCLouvain) Key Projects: SMARTSENS, VAMOS, SafeTransRNN Research Themes: Explainable AI, Computer Vision, Sign Language Processing His publications span over 127 articles, emphasizing interdisciplinary collaborations. He actively participates in conferences and workshops, contributing to the AI ethics discourse and educational outreach initiatives like School-IT for computer science education.

• Algorithms
• Computer Science Education
• Didactics in Computing
• +۳ مورد دیگر

Justin David Calle is affiliated with the Professur Algorithmen und Didaktik at ETH Zurich, part of the School of Computer and Communication Sciences . He holds the role of Staff of Professorship for Algorithms and Didactics, contributing to the Department of Computer Science. His work focuses on algorithms and pedagogical approaches within computing education. No specific research awards, publications, or advisees are documented in the provided text.

Elizabeta Cavarمشاهده پروفایل

پژوهشگر

• Algorithms
• Computer Science Education

Elizabeta Cavar is a Researcher in the Department of Computer Science at ETH Zurich, affiliated with the Professorship for Algorithms and Didactics. Her current research focuses on Algorithms and Computer Science Education , reflecting her role in a dedicated computer science professorship. Previously, she conducted experimental research in Condensed Matter Physics with emphasis on surface phenomena and nanoscale systems. Her publication record (2005-2011) reveals consistent use of scanning tunneling microscopy to investigate nanomaterials, including fullerene crystals, hexagonal boron nitride layers, and semiconductor nanowires. These studies centered on atomic-scale characterization of growth mechanisms, interfacial chemistry, and electronic properties in low-dimensional systems. She operates within the research infrastructure of the Professorship for Algorithms and Didactics at ETH Zurich, contributing to computer science education initiatives alongside algorithmic research.