جست‌وجوی استاد و پژوهشگر

Stephan Packardمشاهده پروفایل

استاد

• Media Control
• Censorship
• Surveillance
• +۱۱ مورد دیگر

Stephan Packard is a Professor for Cultures and Theories of Popularity at the Institute for Media Culture and Theatre at the University of Cologne, where he has held a full professorship since 2017. Previously, he served as Junior Professor for Media Cultural Studies at Albert Ludwig University of Freiburg (2010-2017) and was repeatedly an acting professor for Cultures and Theories of Popularity at the University of Cologne (2015-2017). His research focuses on media control (including censorship, surveillance, and propaganda), popular visual cultures with particular emphasis on comics research, and the complex relationships between factuality, fictionality, and virtuality. As a media semiotician and discourse analyst, Packard examines how meaning is constructed across different media forms and how power operates through media systems. Packard's scholarly output shows a clear trend toward examining the intersections of comics studies with broader media theory, political philosophy, and critical social analysis. His recent publications increasingly address digital sovereignty, algorithmic control, and the transformation of media landscapes in the digital age, while maintaining his foundational work in comics theory and media semiotics. His research connects historical analysis of media forms with contemporary concerns about digital media power structures. Heinz Maier-Leibnitz Prize of the German Research Foundation (2015) Packard leads several significant research projects including the OER-Verbundprojekt 'Comicforschung.nrw,' 'The Adventure as a Popular Nomad: Transformations of Adventure Narratives in Comics,' and the 'Glossary of Digital Sovereignty.' He is actively involved in multiple academic networks including the Global South Studies Center (since 2025), the Key Profile Area Skills and Structures in Language and Cognition (since 2024), and was the first chairman of the Society for Comics Research (ComFor) from 2013-2019. His work bridges theoretical media studies with practical concerns about digital citizenship and media literacy in contemporary society.

Nele Mentensمشاهده پروفایل

استاد

• Applied Cryptography
• Hardware Security
• Secure Coprocessor Design
• +۱۲ مورد دیگر

Nele Mentens is a full professor at both KU Leuven and Leiden University, where she leads cutting-edge research in applied cryptography, hardware security, and secure embedded systems. At KU Leuven, she is affiliated with the Faculty of Engineering Technology and the Electrical Engineering Department (ESAT), leading the Emerging Technologies, Systems & Security (ES&S) research group at the Diepenbeek campus. Simultaneously, she holds a full professorship at Leiden University’s Leiden Institute of Advanced Computer Science (LIACS), focusing on applied cryptography and security. She has been instrumental in numerous national and international research initiatives, including Horizon Europe and NWO-funded projects. Full Professor, KU Leuven (since 2023) Full Professor, Leiden University (since 2020) Associate Professor, KU Leuven (2014–2023) Post-doctoral Researcher & Lecturer, KHLim / KU Leuven (2007–2014) Ph.D. in Engineering Science, KU Leuven (2007) M.Sc. in Electrical Engineering, KU Leuven (2003) Her research focuses on secure and efficient hardware design, particularly for cryptographic applications on FPGAs, reconfigurable architectures, IoT security, and neuromorphic computing. She explores physical attack resistance, side-channel analysis protection, and trusted computing architectures, with applications in healthcare, industrial monitoring, and endpoint AI. Her work bridges theoretical cryptography with practical hardware implementations, emphasizing energy efficiency and real-time performance. The 15 most recent publications reflect a strong trend toward secure, energy-efficient, and intelligent embedded systems. Topics include neuromorphic AI accelerators, trusted IoT architectures, dynamic reconfiguration for side-channel protection, and secure medical data processing. These works span disciplines such as computer architecture, cybersecurity, digital design, and embedded systems, with a focus on hardware-software co-design and real-world deployment. Nele Mentens has received recognition for her contributions, including: Best Paper Award, DATE'16 Best Paper Nomination, AsianHOST'17 Best Paper Award, CHES'19 She has supervised over 15 Ph.D. students and post-docs, both current and former, and has served as principal investigator in approximately 25 funded research projects. Her work has attracted significant grants from Horizon Europe, NWO, FWO, and national innovation programs. She actively contributes to the academic community through editorial roles in top journals and leadership in major conferences. Nele Mentens leads the ES&S research group at KU Leuven and collaborates closely with LIACS at Leiden University. Her team includes Ph.D. students, post-docs, and research experts working on projects like NimbleAI, NeuroSoC, and TrustedIoT. She has also established secure electronics labs through infrastructure grants and maintains strong international ties with institutions such as EPFL, Ruhr University Bochum, and ETH Zurich.

Mathias Fischerمشاهده پروفایل

استاد

• IT and network security
• Resilient distributed systems
• Network monitoring
• +۴ مورد دیگر

Mathias Fischer is Professor for Computer Networks at the University of Hamburg since December 2021, affiliated with the MIN Department of Informatics. He previously served as an assistant professor at Universität Hamburg (2016-2021), University Münster (2015-16), and held postdoctoral positions at the International Computer Science Institute/UC Berkeley (2014-15) and the Center for Advanced Security Research Darmstadt/TU Darmstadt (2012-14). His educational background includes a PhD in Computer Science from TU Ilmenau (2012) and a diploma in Computer Science from the same institution (2008). He also served as Head of Data Literacy Education in IT Support at the University of Hamburg's ISA Center. Professor Fischer's research spans critical areas of modern network infrastructure, with particular emphasis on IT and network security , resilient distributed systems , and network monitoring . His work addresses fundamental challenges in cybersecurity including botnet monitoring, intrusion detection, and critical infrastructure protection. His research group actively investigates P2P networks and develops innovative approaches to network security that balance functionality with privacy preservation. Analysis of his recent publications reveals a strong focus on privacy-enhancing technologies, network security protocols, and resilient distributed systems. His research trajectory shows increasing attention to practical implementations of security solutions for edge computing environments, digital twin networks, and time-sensitive networking applications. The work demonstrates sophisticated integration of cryptographic techniques with network architecture design to address emerging security challenges in distributed systems. Among his notable recognitions are the Claussen-Simon Competition for Universities (2019), the University Prize of the Claussen-Simon Foundation (2019), and an Outstanding Paper Award at ACSAC (2018). Claussen-Simon Competition for Universities (2019) University Prize of the Claussen-Simon Foundation 2019 Outstanding Paper Award at ACSAC (2018) Professor Fischer leads multiple significant research projects including SOVEREIGN (Technologically sovereign security monitoring), RESISTANT (Resilient zero-trust platform for aircraft), and Dynamic situational awareness for rescue teams. His research group comprises numerous doctoral and master's students working on cutting-edge network security challenges. Current projects focus on developing resilient data and AI platforms for crisis situations, security monitoring for critical infrastructures, and innovative home network security solutions. The Computer Networks research group at the University of Hamburg, led by Professor Fischer, maintains active collaborations with industry and academic partners. The group operates specialized laboratories focused on network security testing, intrusion detection systems, and resilient network architectures. Current research directions include QUIC protocol security, federated learning security, and privacy-preserving network analytics, with strong emphasis on practical implementations that address real-world security challenges.

Wanja Hoferمشاهده پروفایل

پژوهشگر

• Embedded Operating Systems
• Real-Time Systems
• Aspect-Oriented Programming
• +۳ مورد دیگر

Dr. Wanja Hofer is a former research staff member at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). She specialized in embedded systems, real-time operating systems, and aspect-oriented programming. Her research focused on optimizing hardware-centric systems like Sloth and CiAO, addressing challenges in interrupt handling, scheduling, and software product line variability. Her academic journey includes a PhD in 2014 titled Sloth: The Virtue and Vice of Latency Hiding in Hardware-Centric Operating Systems . She contributed to key projects such as Sloth (time-triggered RTOS) and CiAO (aspect-oriented OS family), emphasizing scalability and configurability for automotive and embedded domains. Hofer also held roles like Web chair for EuroSys 2009 and co-maintained the EuroSys Research Directory. Her teaching involved Basics of Systems Programming in C and OS-related seminars. She advised over 15 graduate students on topics ranging from MPU-based task isolation to filesystem-level variability management. Notable contributions include hardware-accelerated interrupt handling, aspect-oriented OS design, and embedded system energy optimization. Hofer currently works at Brose Fahrzeugteile, applying her expertise in embedded systems and real-time computing to automotive technologies. Her work bridges academic innovation with industrial applications, particularly in safety-critical and resource-constrained environments.

Kai Vogeleyمشاهده پروفایل

استاد

• Social Cognition
• Psychiatric Disorders
• Brain Imaging
• +۴ مورد دیگر

Prof. Dr. Dr. Kai Vogeley serves as a University Professor and Senior Consultant at the Clinic and Polyclinic for Psychiatry and Psychotherapy, Faculty of Medicine, University of Cologne. His research program focuses on elucidating the pathophysiological mechanisms of psychiatric disorders through psychological, structural, and functional brain imaging techniques, with particular emphasis on social cognitive abilities. Dr. Vogeley's primary research investigates the dual aspects of social cognition: the ability to differentiate between self and other (including perspective-taking and agency recognition) and the capacity for self-other exchange (encompassing empathy and theory of mind). A significant portion of his work examines nonverbal communication, particularly in autism spectrum disorders, using methodologies that combine brain imaging data with cytoarchitectural properties and structural connectivity information. His research spans both healthy populations and those with psychiatric conditions to identify transitional neural mechanisms. Analysis of Dr. Vogeley's publication record reveals a consistent interdisciplinary approach integrating neuroscience, psychology, and philosophy. His work demonstrates particular expertise in studying social gaze processing, animacy perception, and cultural influences on emotion recognition. The research frequently employs fMRI and dual eye-tracking methodologies to investigate how cognitive performance relates to underlying brain processes in social interactions, with special attention to autism and substance use disorders. Dr. Vogeley maintains an extensive collaborative network, working with scientists across medicine, psychology, and philosophy at various universities and research institutions in Germany and internationally. His research group operates at the intersection of clinical psychiatry and cognitive neuroscience, focusing on translating basic research findings into potential clinical applications for understanding and treating psychiatric disorders.

Rolf Wankaمشاهده پروفایل

استاد

• Algorithms
• Combinatorial Optimization
• Swarm Intelligence
• +۳ مورد دیگر

Prof. Dr. Rolf Wanka is a Professor at the Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), specializing in efficient algorithms and combinatorial optimization. His research focuses on swarm intelligence, discrete optimization algorithms, and scheduling problems, particularly in timetabling and robotics applications. Education : Sc.D. (Dr. rer. nat.) in Computer Science His work includes theoretical and experimental analyses of particle swarm optimization (PSO) algorithms, addressing runtime complexity, stagnation behavior, and convergence properties. He has developed novel heuristics for timetabling and sorting problems, with applications in multi-robot systems and medical imaging. Notable collaborations include studies on Markov chain-based PSO and fairness in academic scheduling. Key trends in his recent publications span swarm intelligence , discrete optimization , and scheduling heuristics , with a focus on robust timetabling , runtime analysis , and stochastic algorithm behavior . While no explicit scientific awards are listed, his mentorship in the Max Weber-Programm highlights his advisory role in academia. His publications demonstrate interdisciplinary applications of algorithms in robotics , medical imaging , and parallel computing , leveraging both theoretical rigor and practical experimentation. The full description below provides exhaustive details on his academic contributions and affiliations.

Zhang Yangمشاهده پروفایل

دانشیار

• Artificial Intelligence in Biomedical Imaging
• Deep Learning for Omics Data Analysis
• Pathogen Detection and Diagnostics
• +۷ مورد دیگر

Zhang Yang is an Associate Professor at the School of Medical Engineering, Harbin Institute of Technology (Shenzhen), with a joint appointment as Visiting Professor at the University of Tokyo starting in July 2024. He holds a PhD from the University of Cambridge's Department of Pathology and an M.Phil. from the University of Hong Kong's HKU-Pasteur Research Center. Previously, he served as an Assistant Professor at Harbin Institute of Technology (Shenzhen) from September 2015 to December 2020. His research integrates computational and experimental approaches to address challenges in pathogen and cancer research. On the computational side, his work focuses on developing AI-powered microscopic imaging systems, applying deep learning to analyze multi-omics data (including proteins, DNA, miRNAs, LncRNAs, and mRNAs), and utilizing deep learning in cheminformatics for drug discovery. On the experimental side, his laboratory combines imaging, high-throughput sequencing, mass spectrometry, and chemical biology to understand disease mechanisms at the molecular level. His publication record demonstrates significant impact, with over 50 SCI-indexed papers in high-impact journals including Nature Communications, Briefings in Bioinformatics, Bioinformatics, Analytical Chemistry, and Trends in Biotechnology. His work has been cited by prestigious journals such as Nature Reviews Methods Primers and Nature Communications, with three ESI highly cited papers. His research spans multiple interdisciplinary fields, combining artificial intelligence with biomedical applications to advance diagnostic and therapeutic approaches. World's Top 2% Scientists 2021 Fellow of the Royal Society of Biology Three ESI Highly Cited Papers Five authorized national invention patents As an academic leader, he serves as Associate Editor for BMC Biology and Frontiers in Microbiology, Academic Editor for PLOS Genetics, Editorial Board Member for Communications Biology, and Guest Editor for a Special Issue on AI in analytical chemistry in Trends in Analytical Chemistry. His laboratory actively collaborates with international institutions, with graduates pursuing further studies at Hong Kong Chinese University, Hong Kong University of Science and Technology, Hong Kong Polytechnic University, Macau University, and the University of New South Wales. He teaches Introduction to Modern Biology for undergraduates and Bioanalytical Chemistry for graduate students.

• Visual Perception
• Color Vision
• Sensorimotor Integration
• +۴ مورد دیگر

Karl R. Gegenfurtner is a Professor of General Psychology at the Department of Psychology, Justus Liebig University Giessen. His research focuses on information processing in the visual system, particularly the interplay between low-level sensory processes, high-level visual cognition, and sensorimotor integration. He investigates how complex scenes are perceived, represented in the brain, and used to drive motor systems, with a specialization in color perception, material property recognition, and eye movement dynamics. Ph.D. in Experimental Psychology, New York University (1990) Diploma in Psychology, University of Regensburg (1986) Habilitation in Medical Psychology and Behavioral Neurobiology, University of Tübingen (1998) His work bridges visual neuroscience with computational modeling, examining color categorization in neural networks, cortical mechanisms of color vision, and dynamic recalibration of visual perception during eye movements. Recent projects include Color 3.0: An object-oriented approach to color (ERC Advanced Grant) and Dynamics in Vision and Touch (Marie Curie Actions). Publications highlight advancements in understanding saccadic suppression, predictive eye movements, and chromatic adaptation timelines. Scientific awards include the Wilhelm Wundt Medal (2016), Rank Prize Funds Lecture (2014), and ERC Advanced Grant (2020–2025). He has served on editorial boards of Journal of Vision , Vision Research , and Perception , and led initiatives like the Neuroscientific Workflow Assistance (NOWA) project. Collaborations span institutions in Germany, the U.S., Australia, and the U.K., with a focus on perception-action loops and neural mechanisms underlying visual stability.

Heiner Giefersمشاهده پروفایل

استاد

• Cloud Computing
• Hardware Acceleration
• Field-Programmable Gate Arrays
• +۷ مورد دیگر

Heiner Giefers is a Professor for Cloud Computing at the Department of Computer Science and Natural Sciences at Southwestphalia University of Applied Sciences since 2018. Prior to this position, he worked as a Research Staff Member at IBM Research - Zürich (2013-2018), focusing on hardware acceleration in cloud environments, implementation of big data algorithms on FPGAs, and development of hardware platforms for approximate and in-memory computing. Dr. Giefers received his doctorate (Dr. rer. nat.) from Universität Paderborn in 2012 with a dissertation titled "Design and Programming of Reconfigurable Mesh based Many-Cores." His academic journey at Universität Paderborn includes serving as an Academic Council Member (Akademischer Rat a.Z.) from 2008-2013 and as a Scientific Staff Member from 2006-2012, where he taught digital technology and computer architecture. Professor Giefers' research focuses on energy-efficient computing, particularly through hardware acceleration using FPGAs for cloud and AI workloads. His work spans cloud computing infrastructure, hardware-software co-design, approximate computing, in-memory computing, and energy-efficient implementations of machine learning algorithms. He has made significant contributions to the field of reconfigurable hardware for high-performance computing applications. His recent publications show a strong trend toward applying hardware acceleration techniques to artificial intelligence and machine learning workloads, with a particular focus on energy efficiency. His work bridges the gap between theoretical computer science and practical hardware implementation, often resulting in patented technologies that address real-world computing challenges in cloud environments. Best Paper Award for "Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance" (2016) Best Paper Award Nomination for "Energy-Efficient Stochastic Matrix Function Estimator for Graph Analytics on FPGA" (2016) Best Paper Award Nomination for "Analyzing the energy-efficiency of dense linear algebra kernels by power-profiling a hybrid CPU/FPGA system" (2014) Best Paper Award Nomination for "A Triple Hybrid Interconnect for Many-Cores: Reconfigurable Mesh, NoC and Barrier" (2010) Professor Giefers actively supervises numerous Bachelor's and Master's students, with over 50 completed theses covering topics from machine learning and cloud computing to IoT systems and hardware acceleration. He leads the "Energy-efficient AI" project (eki), which aims to increase the energy efficiency of AI systems through approximation techniques for FPGA implementation. Additionally, he collaborates with Prof. Dr. Christian Plessl on the "Digital teaching materials with Jupyter Notebooks" project, creating interactive learning materials that integrate teaching content, program code, and results into a single document. His work extends to practical applications through multiple patents related to FPGA implementations, neural networks, and memory systems, demonstrating his commitment to translating research into real-world solutions.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۵ مورد دیگر

Christian Eichhorn is an Assistant Professor in the Department of Computer Science at Technical University of Munich, specializing in Human-Computer Interaction, Virtual Reality, and Augmented Reality applications. His research primarily focuses on developing serious games and immersive technologies for healthcare, education, and older adults. He has established a strong collaborative network, particularly with David A. Plecher and Gudrun Klinker, resulting in numerous publications in top HCI and VR venues. Dr. Eichhorn's research interests center around creating accessible and engaging technology applications. His work demonstrates particular expertise in developing serious games for various educational purposes (language learning, history education), healthcare applications (rehabilitation, dementia care), and technologies specifically designed for older adults. His research combines technical innovation in AR/VR systems with practical applications addressing real-world challenges in healthcare and education. Analysis of his recent publications (2022-2025) reveals a consistent focus on practical applications of immersive technologies. His work spans educational tools for programming and language learning, healthcare applications for rehabilitation and clinical training, and specialized technologies for older adults. The research demonstrates a strong interdisciplinary approach, bridging computer science with healthcare, education, and gerontology. His technical contributions include innovations in AR/VR system design, collaborative environments, and novel interaction techniques. Dr. Eichhorn has been actively involved in organizing workshops and contributing to major conferences in the VR/AR field, including IEEE VR and ISMAR. His collaborative approach is evident in his extensive co-authorship network spanning multiple institutions. His laboratory work focuses on developing practical AR/VR applications, with particular emphasis on creating systems that bridge virtual and physical experiences. Current projects include serious games for health behavior change, rehabilitation assessment tools using wearable sensors, and social VR environments for older adults.

• Network Routing
• Segment Routing
• Software Defined Networking
• +۶ مورد دیگر

Marco Polverini is an active computer networking researcher with a prolific publication record spanning over a decade, with 59 publications documented from 2012 to 2025. His work primarily focuses on advanced networking technologies including Segment Routing, Software Defined Networking, and Network Function Virtualization. His research interests center around network routing optimization, traffic engineering, and network monitoring. He has made significant contributions to Segment Routing technology, developing novel behaviors for low-latency communication, black hole detection mechanisms, and traffic matrix assessment techniques. His recent work integrates artificial intelligence approaches, particularly reinforcement learning, with traditional networking protocols to create more adaptive and efficient network systems. He has also been exploring the application of Digital Twin technology for network management and optimization. Analysis of his publication trends shows a clear evolution from foundational work on energy-efficient networking and traffic engineering to more recent innovations in Segment Routing, in-band network telemetry, and AI-driven network optimization. His publications consistently appear in top networking venues including IEEE JSAC, IEEE Transactions on Network and Service Management, INFOCOM, and NOMS, demonstrating his standing within the networking research community. Throughout his career, Polverini has maintained strong collaborative relationships, particularly with Antonio Cianfrani (54 joint publications), Marco Listanti (33 publications), and Francesco Giacinto Lavacca (16 publications), suggesting he works within a well-established research group focused on next-generation networking technologies.

• Database Systems
• Operating Systems
• Distributed Systems
• +۳ مورد دیگر

Athinagoras Skiadopoulos is a computer systems researcher at Stanford University's School of Engineering, Department of Computer Science, focusing on the intersection of database systems and operating systems. His work centers around the innovative DBOS (Database-oriented Operating System) project and large-scale machine learning infrastructure, collaborating with prominent researchers including Christos Kozyrakis and Michael Stonebraker. His primary research interests include: Database-oriented Operating Systems (DBOS) Distributed systems for large-scale machine learning Resource management and optimization in data-intensive systems Transaction processing and data governance High-performance networking for accelerated computing Fault tolerance in distributed training systems Skiadopoulos's research trajectory shows a clear evolution from foundational DBOS architecture toward applications in large-scale machine learning systems. His early publications established the DBOS framework for operating system design using database principles, while his recent work addresses critical challenges in distributed training of massive neural networks. Systems like ReCycle and SlipStream demonstrate innovative approaches to pipeline adaptation and failure recovery during distributed training. His most recent 2025 work on accelerating Mixture-of-Experts training represents the cutting edge of efficient large model training infrastructure. Through his research, Skiadopoulos has established himself in both the database and systems research communities, with publications in premier venues including SOSP, OSDI, VLDB, and CIDR. His work consistently bridges theoretical database concepts with practical systems implementations, demonstrating how database techniques can solve real-world systems challenges in modern computing environments.

Julia Oswaldمشاهده پروفایل

استاد

• Hospital Finance
• Healthcare Management
• Business Administration
• +۳ مورد دیگر

Prof. Dr. Julia Oswald is a Professor of Business Administration with a focus on Hospital Finance and Management at the Faculty of Economics and Social Sciences , Osnabrück University of Applied Sciences. Her work bridges academic theory with practical applications in healthcare governance, organizational culture, and financial systems. University: Osnabrück University of Applied Sciences Department: Faculty of Economics and Social Sciences Email: j.oswald@hs-osnabrueck.de Research Interests: She specializes in hospital financial systems, healthcare organizational culture, and strategic management frameworks. Her recent projects explore ecological sustainability in hospitals and the integration of nursing staff into leadership structures. Scientific Contributions: Her publications and lectures analyze the intersection of economics, policy, and operational efficiency in healthcare. Key themes include profit-center models, decentralized management, and nursing workforce dynamics. Committee Work: She serves as an external reviewer for academic appointments and accreditation processes, including roles at Hochschule Hannover, Hochschule Fulda, and the Virtual University of Bavaria. Her leadership extends to alumni networks and editorial boards like the Krankenhaus-Report .

Katharina Drechslerمشاهده پروفایل

استادیار

• Digital Innovation
• Digital Transformation
• Innovation Actors
• +۴ مورد دیگر

Katharina Drechsler is an Assistant Professor for Digital Transformation and Innovation at the University of Cologne's Faculty of Management, Economics and Social Sciences. Her research focuses include Digital Innovation, Digital Transformation, Innovation Actors (particularly Innovation Champions), and Digital Technologies like Industrial IoT, Artificial Intelligence, and Blockchain. Educational Background M.Sc. in Information Systems from Goethe University, Frankfurt (Main), 2015–2017 B.Sc. in Economics from Ludwig-Maximilians-University, Munich, 2010–2014 Dr. rer. pol. in Information Systems from the University of Bamberg, 2018–2022 (summa cum laude) Her research investigates the intersection of digital technologies and organizational evolution, with particular attention to social network dynamics of innovation actors, design of digital platforms for intrapreneurship, and the application of Industrial IoT in infrastructure transformation. She has published extensively in journals like IEEE Transactions on Engineering Management and Journal of Information Technology , covering topics such as virtual multisensory experiences, digital governance, and event study analyses of Chief Digital Officers' appointments. The trends in her recent articles emphasize the practical implementation of digital options in industrial contexts, blockchain's role in innovation ecosystems, and the strategic integration of AI into organizational workflows. Katharina Drechsler is affiliated with the Cologne Institute for Information Systems (CIIS), contributing to the University of Cologne's interdisciplinary research infrastructure and the broader academic excellence in digital transformation studies.

Michaela Noreikمشاهده پروفایل

استاد

• Obesity Research
• Geriatric Nutrition
• Dietetics
• +۳ مورد دیگر

Prof. Dr. Michaela Noreik serves as Professor in the Department of Nutritional Science at Niederrhein University of Applied Sciences, Mönchengladbach, where she teaches Interdisciplinary Casework, Planetary Health Diet, and Special Seminar in Nutrition Research. She directs the Laboratory for Nutritional Status and maintains active consultation hours for student engagement. Her educational foundation includes a Dr. rer. medic. in nutritional therapy evaluation from Universität zu Köln (2009-2012) and dual degrees in Oecotrophology (Fachhochschule Münster) and Nutrition and Dietetics (Fachhochschule Nimwegen, NL) completed between 2004-2008. Noreik's research centers on obesity interventions, geriatric nutrition, and sustainable dietary systems. She leads projects including OWL (Online Weight Loss programmes), CReDDI (dietary intervention metabolism studies), and SwapSHOP (digital grocery interventions). Her work bridges clinical practice with academic rigor, emphasizing evidence-based approaches to nutritional assessment and therapy standardization. Recent publications (2013-2021) reveal strong focus on digital health interventions for weight management, dietary approaches to type 2 diabetes, and nutritional implications in neurodegenerative conditions. Her methodology frequently employs randomized controlled trials and systematic reviews, with growing emphasis on planetary health frameworks and sustainable food systems. Her scientific recognition includes: 2019 Award of Excellence for Consistent Outstanding Performance (Oxford University) Noreik has secured significant third-party funding for clinical studies in obesity and oncology during her Oxford tenure. Current student projects involve developing nutrition assessment databases and implementing mobee®360 digital platforms. She actively supervises interdisciplinary casework modules with healthcare disciplines. She established the Laboratory for Nutritional Status at Niederrhein University and previously built nutrition teams at St. Marien-Hospital Köln. Her international collaborations include Hogeschool van Arnhem en Nijmegen and Umeå University for planetary health initiatives, reflecting her commitment to transnational research networks.