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جستجوی استاد راهنمای دانشگاهی

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نمایش ۳۱-۴۵ از ۱۳۰ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Stefanie Zollmannمشاهده پروفایل

دانشیار

Aarhus UniversityDenmark

Stefanie Zollmann is an Associate Professor at the Department of Computer Science, Aarhus University. Her primary research focuses on Visual Computing, Augmented Reality, and Virtual Reality, with applications in immersive education and sports technology. She has contributed to advancements in 3D modeling, scene reconstruction, and hybrid XR systems. Her work spans technical innovations in virtual environments, including semantic-controlled rendering, panorama inpainting, and mobile sports coaching systems. She has also contributed to conference organization, serving as a Program Chair for IEEE VR 2024. Zollmann's recent publications address challenges in user localization for AR, immersive teaching via 360° storytelling, and hybrid sports spectator experiences. Her research emphasizes practical applications in education and sports, leveraging both hardware and software advancements. Collaborations include projects on situated sports coaching, mobile capture systems, and tabletop XR interfaces. While no awards are listed, her active participation in top-tier conferences underscores her scholarly impact.

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Johan Heinsenمشاهده پروفایل

استاد

Aalborg UniversityDenmark

Johan Heinsen is a Professor at the Department of Politics and Society, Faculty of Social Sciences and Humanities, Aalborg University. His research focuses on coercion, convict labor, and colonial history, particularly within the Danish Atlantic world context. Current projects: 'Run Away: Coercion and autonomy, c. 1800' (PI), 'Empire in Disarray' (Project Coordinator) Key datasets: Carceral Copenhagen, Interrogations of runaway convicts, Aalborg Adresseavis Online He leads the History Research Group at the Centre for the Study of Coercion and Accountability, and contributes to the MASSHINE MIX research center. His work intersects with UN Sustainable Development Goals through historical analysis of penal systems and labor practices. Recent publications analyze coercive networks in Copenhagen and develop dynamic historical dataset frameworks. He has received four major awards, including the Atlantic Studies Early Career Essay Prize and educational honors. Scientific awards: Årets historiske forskningsresultat (2018) Årets underviser (2020) Det Obelske Familiefonds Undervisningspris (2019) Atlantic Studies Early Career Essay Prize (2017) Heinsen actively presents at conferences on topics ranging from prison systems to maritime colonial networks, and contributes to public history initiatives through media appearances and digital archiving projects.

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Jørgen Villadsenمشاهده پروفایل

دانشیار

Technical University of DenmarkDenmark

Roles and Affiliations: Jørgen Villadsen is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Department of Applied Mathematics and Computer Science and the Algorithms, Logic and Graphs Section. He serves as Head of Study and focuses on formal logic, multi-agent systems, and computer science education. Education: MSc in Computer Science and Engineering (1989, DTU) and PhD in Computer Science (1995, DTU). Research Interests: Villadsen’s work centers on logic and its applications in computer science and artificial intelligence, including formal methods, multi-agent systems, type theory, and non-classical logics. He emphasizes the development of proof assistants like Isabelle and tools for teaching logic and formal reasoning. Recent Research Trends: His publications from 2020–2017 highlight contributions to logic education, automated reasoning, and multi-agent system design. Key areas include Isabelle-based proof systems, hybrid logic formalization, and competitive agent development in programming contests. Scientific Contributions: He has led teams in the Multi-Agent Programming Contest, published extensively in journals like Annals of Mathematics and Artificial Intelligence , and contributed to open-source tools like NaDeA and SPA. Grants and Projects: Involved in projects such as CONTROL (constraint-based language processing) and HyLoMOL (hybrid logic integration). Supervised numerous MSc and PhD students in multi-agent systems and formal methods. Labs/Teams: Active in the Multi-Agent Systems Lab, leading development of agents for competitions and educational tools. Collaborates internationally on logic, AI, and formal verification.

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Michal Zbigniew Pomianowskiمشاهده پروفایل

دانشیار

Aalborg UniversityDenmark

Michal Zbigniew Pomianowski is an Associate Professor at the Department of Construction, Urban and Environmental Engineering, Faculty of Engineering and Science, Aalborg University. His primary research focus lies in energy systems within buildings, with specific expertise in district heating, thermal comfort, and energy performance optimization. Research Group for Energy in Buildings Key projects: PRELUDE, EDYCE, IDCS His work spans energy informatics, building physics, and sustainable urban infrastructure. Recent publications emphasize fault detection in district heating systems, thermal comfort analysis, and real-time energy optimization. Scientific awards include the prestigious Årets underviser (Year's Teacher) in 2018. He contributes to energy datasets, serves as principal investigator in multiple projects, and actively participates in international conferences like AIVC and Applied Energy.

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Daniel Russoمشاهده پروفایل

دانشیار

Aalborg UniversityDenmark

Dr. Daniel Russo is an Associate Professor in the Department of Computer Science at Aalborg University, Copenhagen. He holds a PhD from the University of Bologna and previously conducted postdoctoral research at University College Cork and Lero. His research focuses on empirical software engineering, AI adoption in development processes, diversity in software teams, and pandemic-driven work transformations. He has secured €1M+ in research funding and authored over 50 peer-reviewed publications. Key collaborations include defense agencies and multinational banks. Education Background: PhD in Computer Science and Engineering, University of Bologna Postdoctoral Researcher, University College Cork/Lero Research Interests: Russo explores how AI integration impacts software lifecycle practices, investigates Agile scaling effectiveness, and examines diversity's dual role in fostering innovation while managing team conflicts. His work emphasizes human-centered approaches to AI adoption, ensuring ethical and inclusive technological progress. Article Trends: Recent publications highlight generative AI's ethical implications, hybrid work models' evolution, and empirical studies on Agile methodologies. His work bridges technical innovation with organizational and human factors. Awards: ACM Future of Computing Academy (2019) Grants & Advising: Lead/co-investigator on projects totaling €1M+ funding. Advises on AI ethics, Agile transformations, and pandemic-era workplace adaptations. Collaborates with industry partners to translate research into practical solutions. Labs/Teams: Active in cross-disciplinary collaborations involving Lero, defense agencies, and financial institutions, focusing on applied software engineering challenges.

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Ju Fengمشاهده پروفایل

پژوهشگر

Technical University of DenmarkDenmark

Ju Feng is a Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in Wind Energy Systems , Wind Farm Optimization , and Control Strategies . He contributes to research in Floating Offshore Wind Farms , Multi-Disciplinary Optimization , and Noise Propagation . His work includes developing simulation tools, wake models, and control frameworks for wind farms in complex environments. Research Interests: Optimization of wind farm design and operation Advanced wake and flow modeling AI-driven wind energy solutions Noise control and acoustic propagation Multi-fidelity/multi-disciplinary modeling Cost-effective wind farm technologies Publication Trends: Ju Feng's recent work (2022-2024) focuses on floating offshore wind farms , noise constraints , and multi-disciplinary integration . Older articles (2012-2017) emphasize control algorithms , wake modeling , and optimization frameworks . Advising: Supervising PhD Student Wang R. (AI-Augmented Wind Farm Design Optimization, 2025-2028) Co-supervising Nyborg C. M. (Noise Control in Wind Farms, 2019-2023) Collaboration Network: Active in international projects like DecoWind, ModFarm, and FarmConners. Collaborates with institutions such as DTU Wind Energy and researchers including Shen W. Z. , Réthoré P.-E. , and Bredmose H. .

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Jimmy Jessen Nielsenمشاهده پروفایل

دانشیار

Aalborg UniversityDenmark

Jimmy Jessen Nielsen is an Associate Professor in the Department of Electronic Systems at Aalborg University, under The Technical Faculty of IT and Design, Denmark. His research focuses on wireless communications, particularly in ultra-reliable low-latency communication (URLLC), 5G/6G networks, Internet of Things (IoT), satellite communications, and energy-autonomous networks. He is actively involved in several EU- and ESA-funded research initiatives such as PAINLESS, WILLOW, ONE5G, and SATNEX V, where he serves as principal investigator or key participant. His research interests lie at the intersection of wireless access technologies, network optimization, and cyber-physical systems. He explores topics including network slicing, UAV-based access points, software-defined radio, and indoor localization using building plans. His work contributes to UN Sustainable Development Goals in Communication and Informatics, Mathematics and Statistics, and Energy Engineering. His recent publications show a strong trend toward real-time adaptive networking, human-in-the-loop control over wireless links, and infrastructure-less communication systems. These works often involve collaborations with leading researchers such as Petar Popovski and Bosch Soret, and are published in high-impact IEEE venues including IEEE Transactions on Haptics and IEEE Open Journal of the Communications Society. Scientific Awards: Best Paper Award (2021) – for research on Micro Aerial Vehicle Networks and Access Points Nielsen has supervised and examined multiple PhD students and has been an active academic reviewer and committee member. He led the Department of Electronic Systems as chair starting in 2022 and has participated in numerous PhD defenses as both internal and external examiner. He also contributes to public discourse through media appearances on topics like Wi-Fi optimization and future mobile networks for robotics. He is affiliated with the Connectivity section at Aalborg University and maintains an active research profile with ongoing projects extending into 2025. His work emphasizes practical, deployable solutions for next-generation communication systems.

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Veit Schwämmleمشاهده پروفایل

دانشیار

University of Southern DenmarkDenmark

Veit Schwämmle is an Associate Professor in Computational Proteomics and Bioinformatics at the Department of Biochemistry and Molecular Biology, University of Southern Denmark (SDU), where he leads the Computational Proteomics Group. His research focuses on developing computational solutions for large-scale omics data analysis, particularly in proteomics and post-translational modifications. PhD in Physics, University of Stuttgart (2006) Postdoctoral Fellowships: Centro de Pesquisas Fisicas (Rio de Janeiro), ETH Zürich Postdoctoral Researcher and Assistant Professor, University of Southern Denmark Research interests include software and workflow development for protein mass spectrometry data analysis, chromatin biology through histone modifications, tools for omics data quantification and interpretation, and the application of deep learning methods to improve proteomics data processing. His work bridges physics-based modeling and biological data science, with a strong emphasis on open, reproducible research. His recent publications highlight trends in machine learning for proteomics, benchmarking of analysis workflows, and community-driven bioinformatics standards. He is actively involved in international initiatives like EuBIC-MS and bio.tools, promoting software interoperability and training. Member of the European Bioinformatics Community for Mass Spectrometry (EuBIC-MS) Contributor to the bio.tools registry for life sciences software Advocate for open science and reproducible workflows He supervises researchers and students in computational proteomics and has contributed to numerous collaborative projects in systems biology and biomedical mass spectrometry. His group develops tools such as VIQoR, CrossTalkMapper, and MetaboLink, supporting the broader scientific community. Visit the group’s webpage: http://computproteomics.bmb.sdu.dk

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Thiago Rocha Silvaمشاهده پروفایل

دانشیار

University of Southern DenmarkDenmark

Thiago Rocha Silva is an Associate Professor in the Software Engineering group at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU). His work bridges software engineering, human-robot interaction, and end-user development, with a focus on making robotic systems accessible through intuitive programming interfaces. University: University of Southern Denmark Institute: Maersk Mc-Kinney Moller Institute Department: Software Engineering Academic Rank: Associate Professor His research interests are centered on end-user development , domain-specific languages , and interactive systems , particularly in the context of robotics and software engineering. He investigates how users can program robots without deep technical expertise, using gesture-based interfaces, visual-textual synchronization, and low-code environments. The recent publications highlight a strong trend in human-robot collaboration , focusing on user-centric design, behavior modeling, and programming frameworks that empower non-experts. These works span robotics, software engineering, and human-computer interaction, often employing participatory and user-centered methodologies. Thiago actively leads and contributes to major research initiatives, including projects on sustainable human-robot synergy in extended reality and low-code programming for mobile robotics. He supervises students and teaches courses such as End-User Development and Software Engineering and Organization . He is involved in interdisciplinary collaborations, particularly in projects integrating AI, robotics, and Earth observation data. His work emphasizes practical applications in smart societies, logistics, and physical training.

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Jacob Friis Shersonمشاهده پروفایل

استاد

University of CopenhagenDenmark

Jacob Friis Sherson is a Professor at the Niels Bohr Institute , University of Copenhagen, specializing in Quantum Optics and Photonics. His research focuses on quantum technology education, physics pedagogy, and the development of innovative teaching tools. He leads initiatives like the Quantum Technology Open Master and collaborates across Europe on projects supporting the Quantum Flagship. Research Interests Quantum Physics Education Curriculum Transformation in STEM Interactive Learning Platforms (e.g., Quantum Composer) Hybrid Intelligence in Educational Design Quantum Industry Workforce Development Recent Publications emphasize quantum education frameworks, gamification strategies, and bridging academia and industry through accessible training programs. Labs & Collaborations Sherson works within the Quantum Optics group at the Niels Bohr Institute, partnering with international institutions on EU-wide quantum education initiatives.

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Keisuke Yoneharaمشاهده پروفایل

پژوهشگر

Aarhus UniversityDenmark

Keisuke Yonehara is a Visiting Researcher at DANDRITE - Yonehara Group , Aarhus University, Denmark. His research spans neuroscience, neurobiology, and neuromodulation. Education: D.V.M., Ph.D. His research focuses on retinal ganglion cell dynamics, amacrine cell function, and neuromodulation mechanisms. He investigates how neural circuits encode visual information and how interventions like vagus nerve blockade affect anesthesia and neural oscillations. Recent publications highlight advancements in retinal circuit analysis and clinical neuromodulation applications , including open-source tools like RoentVR for neuroscience research. Yonehara leads projects on vagus nerve modulation, retinal computational motifs, and brain network topology, funded by organizations such as Jascha Fonden . Collaborations: S. Arvin, A. Glud, A. Matsumoto.

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Nebojsa Jakicaمشاهده پروفایل

مدرس

University of Southern DenmarkDenmark

Nebojsa Jakica is a Lecturer at the University of Southern Denmark, specializing in Civil and Architectural Engineering. His research focuses on integrating renewable energy systems into building facades, with a particular emphasis on Building-Integrated Photovoltaics (BIPV) , additive manufacturing , and lightweight membrane architecture . He has contributed extensively to sustainable design methodologies, energy-efficient building systems, and advanced simulation techniques. PhD, Department of Technology and Innovation Teaching: Facade Design, Passive Solar Design His work explores dynamic shading systems , smart building readiness , and circular economy principles in construction. Recent publications highlight 3D printing in architectural skins and environmental performance evaluation . Collaborations span international institutions, focusing on transformative building technologies and renewable energy deployment. Key trends in his research include solar integration , parametric design , and environmental adaptation in architectural systems. While no explicit awards are mentioned, his 33 publications and patents underscore significant contributions to facade engineering and sustainable building technologies.

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Karl Werderمشاهده پروفایل

دانشیار

IT University of CopenhagenDenmark

Karl Werder is an Associate Professor in the Section of Digital Business Innovation at the IT University of Copenhagen. His research focuses on resolving inherent trade-offs in digital innovation, emphasizing tensions between qualities like complexity/agency in AI and their impact on trustworthiness. He collaborates internationally, including visiting roles at Laval University (CA) and Georgia State University (US). Associate Editor: Communications of the Association for Information Systems, Business & Information Systems Engineering Journal Editorial Review Board: Decision Sciences Journal His work appears in leading journals across information systems (Journal of Management Information Systems), software engineering (IEEE Transactions on Software Engineering), and management (California Management Review). Recent research spans responsible AI, design methods, and emotional dynamics in technology adoption. Notable awards include the 2025 Honourable Mention Award. Media engagements include IEEE Spectrum and BLOG@CACM, addressing generative AI consistency and licensing errors in public AI datasets.

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Nicholas Haasمشاهده پروفایل

دانشیار

Aarhus UniversityDenmark

Nicholas Haas is an Associate Professor at the Department of Political Science, Aarhus University. His research focuses on bargaining behavior, political communication, collaborative research methodology, and experimental political science. Research Trends: His recent work explores cross-national bargaining dynamics (2023), historical revisionism in political theory (2022), social media data linkage errors (2021), collaborative research team challenges (2021), vaccine demand in conflict zones (2023), and political affirmative action effectiveness (2021). Advising: Supervises PhD student Olivia Elsebeth Belling-Nami. Projects: Involved in the 'Peace through Nonviolence' consultancy project (2021) and ongoing research revisions (2023).

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Anders Lassenمشاهده پروفایل

مدرس پاره‌وقت

University of CopenhagenDenmark

Anders Lassen is a Part-Time Lecturer at the Department of Computer Science , University of Copenhagen, under the Faculty of Science . His academic career combines software engineering with interdisciplinary collaborations in medical imaging and neuroscience . Specializes in database modeling and software complexity analysis Key collaborator in neuroimaging research (SPECT, MRI, GISAXS) Applies computational methods to biomedical and materials science challenges Research trends over two decades show expertise in both software metrics (Function Point Analysis, COCOMO models) and computational neuroscience (dopamine receptor imaging, brain volumetry). His work bridges relational database design and advanced imaging algorithms for biomedical applications. Contact: knh487@di.ku.dk | Mobile: +45 2089 8668

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