جست‌وجوی استاد و پژوهشگر

• Perception Engineering
• Extended Reality
• Virtual Reality
• +۷ مورد دیگر

Mark Bo Jensen is an Assistant Professor (tenure track) at the Department of Engineering Technology and Didactics, Technical University of Denmark (DTU), specializing in Energy Technology and Computer Science. His research is centered on Perception Engineering and Extended Reality technologies, particularly Virtual Reality (VR), with applications in human cognition, computer graphics, and scientific visualization. His research interests lie at the intersection of engineering and cognitive sciences, focusing on creating immersive and convincing extended reality experiences. Jensen applies his over 10 years of expertise in real-time computer graphics to advance VR systems for perception modeling, geometric data visualization, and material appearance simulation. His work contributes to fields such as medical diagnostics, 3D annotation, and photorealistic rendering. The recent publications highlight a strong trend in leveraging VR for scientific tasks, such as anatomical landmark annotation and visual field testing, as well as advancing core graphics techniques like meshlet optimization and diffusion-based stereo image generation. His research integrates computer vision, graphics algorithms, and human-centered design. While no scientific awards are currently listed, his active participation in research projects and consistent publication output indicate a growing academic profile. He has contributed to interdisciplinary collaborations involving medical, biological, and engineering domains. Jensen has been involved in advising and research projects, including serving as a PhD student in the 'Virtual Reality-Based Visualization of Geometric Data' project and currently as a project participant in 'AL-EYE: The Visual Aid'. These projects reflect his focus on applied VR solutions and data understanding. His work is conducted within the Energy Technology and Computer Science division at DTU, where he contributes to advancing perception-driven technologies and their practical implementation in scientific and medical contexts.

Md Saifuddin Khalidمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Learning Analytics
• Digital Training Technologies
• +۳ مورد دیگر

Md Saifuddin Khalid is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on digital training technologies, learning analytics, and human-computer interaction in educational contexts. He leads and collaborates on projects exploring AI applications in education, adaptive learning systems, and the impact of digital tools on teaching and learning outcomes. His work contributes to UN Sustainable Development Goals related to quality education and industry innovation. Khalid actively supervises PhD students and has published extensively on topics such as generative AI for literature reviews, user satisfaction in AI chatbots, and usability of digital training technologies in industries like pharmaceuticals. Key Projects: MIXAP-EU: Developing mixed reality tools for teachers in Europe. HEGenAI: Integrating generative AI into higher education assessments. Methods for evaluating digital training technologies in pharmaceutical production. Editorial Roles: Peer reviews for journals like International Journal of Human-Computer Interaction and Computers & Education . Khalid’s research emphasizes practical applications of technology in education and industry, with a focus on improving user experiences and outcomes through systematic evaluations and design frameworks.

Heiko Holzمشاهده پروفایل

استادیار

• Computer Science Education
• Digitalization in Education
• Educational Technology
• +۴ مورد دیگر

Jun.-Prof. Dr. Heiko Holz is a Junior Professor at the Institute of Computer Science, focusing on Computer Science and Computer Science Didactics with an emphasis on digitalization in education. He has been in this role since April 1, 2023, and serves as Deputy Head of the institute. His work integrates computer science with pedagogical strategies to advance digital learning. His research interests lie at the intersection of technology and education, particularly in how digital tools can enhance teaching and learning processes in computer science. Areas of focus include digitalization in education , computer science didactics , educational technology , and instructional design . He is actively involved in curriculum development and conducts lectures and workshops to support pedagogical innovation. Although publication data is not detailed in the current text, his profile links to ResearchGate, Google Scholar, and OSF, indicating ongoing scholarly engagement in educational technology and computer science education. His work likely emphasizes practical applications of digital tools in academic settings. No scientific awards were explicitly mentioned. He advises on curriculum design and teaching methodologies, contributing to academic development within his institute. There is no mention of external grants or funded research projects in the provided information. He is affiliated with the Institute of Computer Science, where he contributes to leadership as Deputy Head and supports the academic mission through teaching and organizational responsibilities.

• Artificial Intelligence
• Probabilistic Graphical Models
• Deep Generative Models
• +۴ مورد دیگر

Ewa Szczurek is a Professor at the University of Warsaw's Faculty of Mathematics, Informatics and Mechanics and Co-director of the Institute for AI for Health, leading joint labs at Helmholtz Munich and the University of Warsaw. Education: Master degree in Computer Science from Uppsala University, Sweden (2005) Master degree in Computer Science from University of Warsaw, Poland (2006) Doctoral degree from Max Planck Institute for Molecular Genetics, Berlin (2011) Postdoctoral fellowship at ETH Zurich, Switzerland (2011) Habilitation at University of Warsaw, Poland (2020) Visiting associate professor at Northwestern University, USA (2023) Research Focus: Her work centers on probabilistic graphical models and deep generative models applied to computational medicine, with emphasis on oncology (tumor microenvironment modeling and evolution), pulmonology, and AI-driven antimicrobial peptide design to combat antibiotic resistance. She develops specialized deep learning frameworks for spatial transcriptomics analysis, tumor evolution reconstruction, and synthetic antimicrobial compound generation. Publication Trends: Recent publications (2022-2023) demonstrate consistent innovation in AI-driven biomedical solutions, bridging machine learning with oncology and infectious disease research. Her work shows increasing focus on generative models for drug design and spatial data analysis, with strong industry-academia collaborations (e.g., Merck, IMMUcan consortium). Awards: ERC Consolidator Grant (2023) for DOG-AMP project Scientific and didactic award from Rector of University of Warsaw ETH Zurich and IMPRS fellowship awards Grants & Leadership: Leads the ERC Consolidator Grant project DOG-AMP for antimicrobial peptide design. Serves as Associate Editor for Genome Biology and participates in program committees for ISMB and RECOMB-CCB conferences. Collaborates with international consortia including IMMUcan and Merck's Oncology Bioinformatics department. Labs & Networks: Co-directs AI for Health Institute with joint labs at Helmholtz Munich and University of Warsaw. Active in ELLIS (pan-European AI network) and Polish Bioinformatics Society, driving interdisciplinary research at the AI-medicine interface.

Stefan Hagelمشاهده پروفایل

پژوهشگر ارشد

• Ancient Greek Music
• Music Archaeology
• Musical Instrument Reconstruction
• +۳ مورد دیگر

Stefan Hagel is a Research Fellow at the Austrian Academy of Sciences and Privatdozent at the University of Vienna, specializing in ancient Greek and Roman music. His work bridges archaeology, philology, and digital reconstruction to analyze ancient musical instruments, notation systems, and performance practices. His research focuses on: Reconstruction of auloi (double-pipes) and hydraulis (water organs) Computational analysis of instrument acoustics Cross-cultural transmission of musical technologies Ancient harmonic theory and notation decipherment He leads major projects including Ancient Music Beyond Hellenisation (ERC Advanced Grant), Digitising Aspects of Graphical Representation in Ancient Music (FWF), and the European Music Archaeology Project . Hagel has developed specialized software for instrument analysis and serves as editor for the Journal of Music Archaeology . His publications demonstrate consistent focus on technical aspects of ancient music through interdisciplinary methodologies.

Mariusz Dejaمشاهده پروفایل

استاد

• Additive Manufacturing
• Computer-Aided Manufacturing (CAM)
• Abrasive Machining
• +۳ مورد دیگر

Prof. Mariusz Deja serves as the Dean of the Faculty of Mechanical Engineering and Ship Technology at Gdańsk University of Technology. He holds a PhD (2001) and habilitation (2014) in Mechanical Engineering. His academic roles include Head of the Department of Manufacturing and Production Engineering (since 2019), and former Vice-Dean for Education (2016–2020) and Vice-Dean for Cooperation (2020–2024). Education: Master's in Mechanical Engineering (1993), Pedagogical Studies (1993), and postgraduate courses in TQM and ECO-Integrated Mechanical Engineering (1997). Professional experience includes roles as an assistant (1993–2001), assistant professor (2002–2017), associate professor (2017–2019), and full professor (since 2019). Research focuses on abrasive machining, additive manufacturing, and CAPP algorithms. Key interests include material removal processes, precision engineering, and tool fabrication using AM. Collaborations include visiting professorships at China's Dezhou University (2018), Germany's Technical University of Berlin (2021–present), and Sweden's KTH Stockholm (2023–2024). Awards include the Silver Cross of Merit (2016) and multiple Rector Awards for scientific, didactic, and organizational achievements. His work spans over 98 publications, with recent studies on 3D printing applications, container terminal logistics, and AI-driven defect analysis. Labs/Teams: Involved in research infrastructure related to additive manufacturing tools and precision machining systems. Active in projects like the NEPTUN initiative (Horizon Europe-funded) and Industry 4.0 collaborations.

Charles E. Leisersonمشاهده پروفایل

استاد

• Parallel Computing
• Performance Engineering
• Algorithms
• +۶ مورد دیگر

Charles E. Leiserson is a Professor of Computer Science and Engineering at MIT, holding the Edwin Sibley Webster Professorship in Electrical Engineering and Computer Science. He leads the Supertech Research Group and is Faculty Director of the MIT-Air Force AI Accelerator. His work focuses on parallel computing, performance engineering, and algorithms. Leiserson is renowned for co-authoring the foundational textbook Introduction to Algorithms , widely used in computer science education globally. He has pioneered technologies like the Cilk multithreaded programming language and contributed to supercomputing architectures such as the Connection Machine CM-5. His research bridges theoretical computer science with practical applications, emphasizing cache-oblivious algorithms and compiler optimizations. Leiserson has received multiple awards for his academic contributions and educational impact, including the ACM-IEEE Ken Kennedy Award and Margaret MacVicar Fellow distinction at MIT. Education: B.S., Yale University, 1975 Ph.D., Carnegie Mellon University, 1981 Research Interests: Leiserson’s work addresses performance engineering challenges in post-Moore’s Law computing. His group develops algorithms, software systems, and hardware strategies for scalable parallelism. Key areas include parallel programming frameworks (e.g., OpenCilk), cache-aware algorithms, and compiler optimizations. He emphasizes making parallel computing accessible to mainstream programmers through tools like Cilk and educational initiatives such as MIT’s Software Performance Engineering course. Projects & Leadership: Leiserson leads the Supertech Research Group and contributed to the Cilk Arts Inc. venture, acquired by Intel. He chairs the MIT Undergraduate Practice Opportunities Program (UPOP) and teaches courses on algorithms and discrete mathematics. His leadership workshops for faculty have educated hundreds worldwide on team management in academia. Awards & Recognition: 2014 ACM-IEEE Ken Kennedy Award IEEE Taylor L. Booth Education Award ACM Paris Kanellakis Theory and Practice Award Member of the National Academy of Engineering Labs & Teams: Active in MIT’s CSAIL, Leiserson collaborates through the Supertech Group and Theory of Computation communities. His current projects include Tapir compiler infrastructure, graph neural network applications for anti-money laundering, and deterministic parallel scheduling algorithms.

• Perception Engineering
• Extended Reality
• Virtual Reality
• +۷ مورد دیگر

Mark Bo Jensen is an Assistant Professor (Tenure track) at the Department of Engineering Technology and Didactics, Energy Technology and Computer Science at the Technical University of Denmark (DTU). His work bridges engineering and cognitive sciences through the emerging field of Perception Engineering. His research focuses on Extended Reality (XR) and Virtual Reality (VR) technologies to model and understand human perception and cognition. With over 10 years of expertise in real-time computer graphics, he develops immersive systems for applications in data visualization, medical testing, and geometric morphometrics. His recent publications highlight a strong trend in leveraging VR for precise human interaction tasks, such as anatomical landmark annotation and visual field testing, as well as advancing rendering techniques using diffusion models and mesh optimization. This reflects a multidisciplinary approach combining computer science, perception, and real-world applications. He has contributed to multiple research projects, including AL-EYE: The Visual Aid and Virtual Reality-Based Visualization of Geometric Data, where he served both as a PhD student and a project participant. These projects emphasize VR-based tools for data understanding and visualization. Assistant Professor (Tenure track), DTU PhD in Virtual Reality-Based Visualization of Geometric Data, completed June 2023 Project participant in AL-EYE: The Visual Aid (2025) While no formal advisees are listed, his role as a faculty member suggests future student supervision. He has collaborated extensively with researchers such as Jeppe R. Frisvad, Jakob Andreas Bærentzen, and Vedrana A. Dahl.

• Additive Manufacturing
• Design Research Methodology
• Product Design Education
• +۵ مورد دیگر

Violeta Catarina Marques Clemente is an Associate Professor at the University of Aveiro, affiliated with the Superior School of Design, Management and Production Technologies of Aveiro-Norte. She holds multiple roles, including member of the School Council, Management Committee for Higher Professional Technical Courses, and leadership in research groups such as CTESP (Direction in Mold Design and Mechatronic/Production Systems) and Cet DM (Electrical Installations and Industrial Automation). Her research focuses on design methodologies, additive manufacturing, sustainable materials, and educational innovation in design and technology. She is actively involved in research projects like NANO-SIM 3D (metal/plastic composites), CULTU-RURAL (cultural heritage and creative tourism), and Manufatura Aditiva com cortiça (cork-based additive manufacturing). Her work bridges academic research with practical applications in industry and education. Her publications emphasize educational tools for design research, digital storytelling, and innovative manufacturing techniques. She has supervised several theses on topics ranging from computational design tools to smart sports protection systems. Research Affiliations: Instituto de Investigação em Design, Media e Cultura (2020–2024) Key Projects: NANO-SIM 3D (2018–2022), CULTU-RURAL (2024–2028)

Thomas Fischerمشاهده پروفایل

مدرس

• IT Outsourcing
• Global Sourcing
• Bank IT
• +۴ مورد دیگر

Dr. Thomas Fischer is a Lecturer affiliated with the University of Bern and the Lucerne University of Applied Sciences and Arts . His academic work focuses on IT outsourcing, digital banking, and SME financing . He serves as a Project Manager at the Institute for Financial Services Zug (IFZ) . Dr. rer. oec. in Business Information Systems, University of Bern (2012) Diploma in Business Information Systems, University of Erlangen-Nuremberg (2005) CAS Global Negotiator, University of St. Gallen CAS IT Management in Banking, Rochester-Berne CAS in Higher Education Didactics, University of Bern His research explores IT outsourcing governance, digital transformation in banking, and SME loan dynamics . Recent work includes studies on KMU-Banking, AI applications in finance, and core banking system sourcing . Publications span books, peer-reviewed journals, and presentations at industry forums. Professional engagements include roles at PostFinance (2023), Bern Cantonal Bank (2016-2023), and Pricewaterhouse Coopers (2005-2009) . Teaching activities extend to University of Bern, Bern University of Applied Sciences, and ESSEC Business School .

Sonja Isabel Veithمشاهده پروفایل

پژوهشگر

• Science Education
• Phenomenography
• Physics Education
• +۶ مورد دیگر

Dr. Sonja Isabel Veith is a Scientific Staff member at the Institute for Special Education, Faculty of Philosophy, Leibniz University Hannover. Her work focuses on research and teaching in the fields of scientific and technical education, with a strong emphasis on phenomenography and inclusive didactics. Phenomenographic Research Science Education Physics & Computer Science Teaching Biomedical Optics Artificial Intelligence Applications Educational Background: M.Sc. in Physics (minor: Meteorology), Leibniz University Hannover B.Sc. in Physics (minor: Computer Science), Leibniz University Hannover Fellow of the International Max Planck Research School on Gravitational Wave Astronomy Dr. Veith's research explores children's perceptions of physics concepts like sound, interdisciplinary science education, and racism-critical teaching methods. She has developed innovative didactic approaches for visualizing sound and integrating computational thinking in elementary education. Her publications show a consistent focus on: Phenomenographic analysis of science concepts Physics education in elementary schools Interdisciplinary teaching methods AI applications in sensor data analysis Historical and societal contexts in science Inclusive didactic frameworks Scientific Honors: Fellow of the International Max Planck Research School on Gravitational Wave Astronomy Dr. Veith has collaborated extensively across disciplines, working with institutions such as the Albert Einstein Institute and Laser Zentrum Hannover. Her career spans multiple domains including physics, computer science, biomedical optics, and educational theory.

• Quantum Mechanics
• Quantum Computing
• Atomic Physics
• +۱۱ مورد دیگر

Sølve Selstø is a Professor at the Department of Information Technology , Faculty of Technology, Art and Design, Oslo Metropolitan University. He specializes in theoretical physics and quantum mechanics, teaching mathematics and physics to engineering students. Research interests include quantum computing, photoionization dynamics, relativistic quantum physics, and non-Hermitian quantum systems. His work focuses on quantum particle behavior under light interaction and computational approaches to quantum education. Recent publications address relativistic effects in photoionization, computational quantum physics, and educational frameworks for quantum computing students. Research groups include ADvanced hEalth intelligence and brain-insPired Technologies (ADEPT) and Mathematical Modelling . Outreach involves public communication on quantum computing, quantum physics, and AI through media appearances and lectures.

• Instructional Design
• Cognitive Psychology
• Memory Studies
• +۴ مورد دیگر

Gesa van den Broek is an Assistant Professor at Utrecht University's Faculty of Social and Behavioural Sciences , specializing in Education and Learning: Development in Interaction . Her research focuses on instructional design, cognitive psychology, and memory studies, particularly in foreign language pedagogy and higher education research. Areas of Expertise: Instructional Design, Cognitive Psychology, Memory Studies, Foreign Language Pedagogy Research Themes: Dynamics of Youth (DoY), Game Research, Higher Education Research Her recent work investigates retrieval practice mechanisms, stepwise worked examples, and multimedia learning effects. She actively collaborates on educational technology tools like ET_cam_home and participates in public engagement activities, including media contributions to Dutch outlets like Volkskrant and Trouw.

Leo van Waverenمشاهده پروفایل

استاد

• Vocational Education
• Educational Technology
• Teacher Training
• +۳ مورد دیگر

Prof. Dr. Leo van Waveren is a Professor and Head of the Technical Didactics Group at RheinMain University of Applied Sciences (RPTU/Koziel). His academic career includes postdoctoral research at the University of Stuttgart (2018-2022) and academic roles at Technische Universität Kaiserslautern. He holds a PhD (Dr. phil.) from the University of Stuttgart (2017) and a Diplom in Technikpädagogik (Dipl.-Gwl. Informatik/Chemie). His research focuses on vocational education, ICT integration in teaching, and the impact of artificial intelligence (AI) on education. Recent work emphasizes AI's role in curriculum design and teacher training. He actively participates in national and international conferences, delivering keynote speeches on topics like generative AI in classrooms and digital transformation in vocational training. Research interests include technical competency modeling, dual education systems, and educational technology. Notable contributions include studies on vocational competencies in automation technology and teacher job satisfaction across career pathways. His work bridges theoretical frameworks with practical applications, such as smartphone-based experiments in STEM education. Prof. van Waveren leads the RPTU's efforts in digital education initiatives, including the DIGILL@Praxis program. He collaborates with regional and international institutions to advance educational innovation. Despite no listed awards, his extensive publication record and active speaking engagements underscore his scholarly impact.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۴ مورد دیگر

Prof. Frank-Peter Schilling is a Senior Lecturer at Zurich University of Applied Sciences (ZHAW) School of Engineering and Deputy Director of the Centre for Artificial Intelligence (CAI). He leads the Intelligent Vision Systems group and coordinates the PhD Programme in Data Science with the University of Zurich. As an Adjunct Professor at Victoria University of Wellington, he specializes in AI, Machine Learning, and applications in healthcare and physical sciences. His research focuses on deep learning-based computer vision, MLOps, and trustworthy AI certification frameworks. Education: PhD in Physics (University of Heidelberg, 2001) Dipl.-Phys. (MSc equivalent in Physics, University of Heidelberg, 1998) CAS University Didactics (PH Zurich, 2024) Research Interests: Developing AI systems for medical imaging (e.g., CBCT artifact reduction) Certification schemes for AI trustworthiness (e.g., certAInty project) Applications of deep learning in particle physics and industrial vision Achievements: Recipient of the EPS HEP Prize (2013) for contributions to the Higgs boson discovery at CERN Lead author of over 20 peer-reviewed articles on AI, MLOps, and medical imaging Principal investigator for projects like AI-BRIDGE (responsible AI development) and GenAI4SKA (Square Kilometre Array simulations) Teaching: Courses in MLOps, Machine Learning Operations, and Computer Vision at BSc and MSc levels. Developed the CAS Advanced Machine Learning program. Labs & Networks: Active in ELLIS (European Lab for Learning and Intelligent Systems), CLAIRE (AI research), and ZHAW’s Digital Health/Datalab initiatives.