جست‌وجوی استاد و پژوهشگر

Sabine Pfeifferمشاهده پروفایل

استاد

• Sociology of Work
• Digital Transformation
• Industry 4.0
• +۵ مورد دیگر

Prof. Dr. Sabine Pfeiffer holds the Chair of Sociology (Technology – Work – Society) at the Nuremberg Campus of Technology, part of Friedrich-Alexander University Erlangen-Nuremberg. She is an active researcher and thought leader in the sociology of work, with particular expertise in digital transformation, Industry 4.0, and labor capacity. Her work bridges academic research and practical applications in industry, with significant collaborations including the Volkswagen study and advisory roles with government bodies. Professor Pfeiffer's research interests focus on how digitalization transforms work structures and qualifications across various sectors including mechanical engineering, office work, and critical infrastructure. She has developed the Labouring Capacity Index (AV-Index) as a tool to measure living labor capacity and experience as resources for Industry 4.0 transition. Her work examines the intersection of technology, work organization, and social inequality, with particular attention to how workers navigate digital transformation in different occupational contexts. Her recent publications reveal consistent research trends examining the dual transformation of digitalization and sustainability, with particular focus on Volkswagen as a case study. The work explores transformation experience, resources, and readiness across multiple dimensions. She also investigates how AI is perceived and integrated in workplaces, the evolution of office work in digital environments, and the measurement of work through wearables and digital assistance systems. Best Paper Award for keynote speech on 'Work 4.0' at VET Conference in Rostock (2017) Nominated for 'Influencer of the Year 2013' by the Strategy Circle for Mechanical and Plant Engineering Professor Pfeiffer serves on the Council of the World of Work appointed by the Federal Ministry of Labour and Social Affairs, and recently joined the board of directors at bidt (Bavarian Institute of Technology Assessment). She previously served on the Research Advisory Board of the Industry 4.0 Platform and advisory boards at CIDAS. Her research is frequently funded through collaborations with institutions including BIBB (Federal Institute for Vocational Training), WZB Berlin Social Science Center, and industry partners like VDMA. Her work is conducted through the Labouratory research group at the Nuremberg Campus of Technology, which focuses on empirical studies of work in the digital age. The team employs mixed methods approaches including representative surveys, qualitative case studies, and workplace observations to understand the changing nature of work. Recent projects include the diGAP project on good agile project work and studies on digital transformation in mechanical engineering and office work sectors.

Iwan Schieمشاهده پروفایل

استاد

• Raman Spectroscopy
• Biomedical Imaging
• Cancer Diagnostics
• +۳ مورد دیگر

Iwan Schie serves as Working Group Leader at the Leibniz Institute of Photonic Technology (Leibniz-IPHT) in Jena, Germany, where he leads the Spectroscopy / Imaging Multimodal Instrumentation research group. His work bridges analytical chemistry, biomedical engineering, and clinical applications with a focus on developing Raman spectroscopy-based diagnostic tools. Dr. Schie maintains an active research program with numerous publications in high-impact journals across multiple disciplines. Dr. Schie's research centers on Raman spectroscopy applications in medical diagnostics and environmental monitoring. His work demonstrates particular expertise in developing multimodal imaging systems that combine Raman spectroscopy with complementary techniques like optical coherence tomography and fluorescence imaging. His research spans both fundamental methodological development and clinical translation, with several studies focusing on cancer diagnostics across multiple organ systems including head and neck, bladder, and colon cancers. The environmental applications of his work include microplastic detection and pollen analysis. Analysis of Dr. Schie's publication record reveals a clear trajectory toward clinical implementation of Raman spectroscopy technologies. His recent work increasingly focuses on regulatory-compliant medical device development, with multiple studies conducted in accordance with European Medical Device Regulation standards. The publications demonstrate progression from ex vivo validation studies to in vivo clinical applications, with particular emphasis on workflow integration within surgical settings. His collaborative approach is evident through extensive co-authorship networks spanning physics, engineering, and clinical medicine. Dr. Schie has made significant contributions to advancing Raman spectroscopy methodology, with publications addressing critical challenges in device stability, spectral analysis, and multimodal integration. His work on establishing clinical workflows represents important steps toward routine clinical adoption of these technologies. The practical impact of his research is demonstrated through development of systems like the invaScope Raman endoscopy platform for bladder tumor diagnosis. As Working Group Leader at Leibniz-IPHT, Dr. Schie oversees research activities in spectroscopy and multimodal imaging instrumentation. His team develops advanced optical systems for biomedical applications with particular focus on real-time tissue characterization during surgical procedures. The research environment supports both fundamental methodological development and applied clinical translation, with strong emphasis on regulatory compliance for medical device development.

• Hispanic Literature
• Digital Humanities
• Cultural Networks
• +۵ مورد دیگر

Dr. Adriana Rodriguez Alfonso is a Research Associate in Hispanic Literature and Cultural Studies at the University of Tübingen's Romance Studies Department. Her work bridges digital humanities with 19th-20th century Iberian and Latin American literature, focusing on intellectual networks, cultural magazines, and intersections between medical discourse and aesthetic philosophy. She holds a doctorate (2022) and Master's (2018) from Universidad de Salamanca, preceded by a BA (2017) from Universidad de La Habana. Current research examines fin de siècle representations of insanity in Iberian cultural fields using AI-driven analysis of large literary corpora. Principal Investigator: Interdisciplinary project combining literary theory, cultural sociology, and medical history Methodology: Close/distant reading, LLM techniques, network visualization Grants: Athene Grant 2024/2025, DAAD Postdoc-Programm, Global Encounters Fellowship Key publications include monographs on literary networks in Argentina, computational analyses of Global South book markets, and AI-driven explorations of madness imaginaries. Her 2024 De Gruyter monograph maps transnational editorial ecosystems. Scientific awards include multiple DAAD grants for international collaboration, the 2022/2023 Universidad de Salamanca prize for outstanding research, and LASA travel grants. Teaching focuses on Medienbildung: Digital Humanities and Fin de Siècle Spanish Literature . She maintains active research collaborations with institutions in Germany, Spain, and Latin America.

Carsten Marohnمشاهده پروفایل

پژوهشگر

• Agroecology
• Land Use Modeling
• Soil Conservation
• +۵ مورد دیگر

Dr. Carsten Marohn is a Researcher at the University of Hohenheim, affiliated with the Institute of Agricultural Sciences in the Tropics (Hans-Ruthenberg Institute) and the Department of Agronomy in the Tropics and Subtropics. His work focuses on agroecology, land use modeling, soil conservation, and remote sensing applications in tropical and subtropical regions. He has contributed to interdisciplinary projects such as SustainSahel (2020–2025), addressing sustainable resource use and livelihood systems in West Africa. His research integrates biophysical and socioeconomic models to assess impacts of land use changes on ecosystems and food security, with a focus on Africa, Southeast Asia, and Latin America. Key contributions include developing models like LUCIA for simulating plant-animal interactions in African savannas and using MODIS EVI for food insecurity prediction in Ethiopia. He has collaborated with institutions like the World Agroforestry Centre and the Kenya Agricultural and Livestock Research Organisation. His recent projects involve scenario modeling for climate-resilient agricultural systems and analyzing historical land use change patterns using farmer decision rules. Marohn’s work emphasizes interdisciplinary approaches to sustainable agriculture, combining remote sensing, participatory research, and policy analysis. He has secured grants from the EU and DFG, contributing to global debates on food system resilience and climate adaptation strategies.

• Educational Technology
• Learning Analytics
• Artificial Intelligence in Education
• +۳ مورد دیگر

Marcus Specht is a Professor affiliated with Delft University of Technology and Leiden University, Netherlands. His research focuses on Educational Technology, Learning Analytics, and Artificial Intelligence in Education. He has contributed to projects involving agent-based social skills training, hybrid intelligence for cognitive process analysis, and computational thinking assessment in higher education. His work spans mobile learning, collaborative learning analytics, and gamification in MOOCs. He collaborates extensively with researchers like Marco Kalz, Roland Klemke, and Hendrik Drachsler. Notable contributions include the Presentation Trainer for public speaking feedback and the DojoIBL platform for inquiry-based learning. His research emphasizes multimodal learning systems, including AR/VR applications and sensor-based training tools. He explores the integration of AI into educational platforms, as seen in projects like JELAI and the ARTES architecture for social skills training.

• RFID Technology
• Internet of Things (IoT)
• Wireless Sensor Networks
• +۳ مورد دیگر

Luca Catarinucci is affiliated with the University of Salento in Lecce, Italy. His research focuses on RFID technology, IoT systems, wireless sensor networks, and antenna design. He has collaborated extensively with researchers like Riccardo Colella and Luciano Tarricone, producing impactful work in smart healthcare systems, energy-autonomous sensors, and 3D-printed electromagnetic devices. His contributions span theoretical advancements in circuit design and practical applications in fields like environmental monitoring and biomedical research. Recent work emphasizes energy-efficient solutions and integration of AI-driven microcontrollers. Key research interests include improving RFID tag performance, developing IoT-aware architectures for healthcare, and advancing additive manufacturing techniques for antenna prototyping. His publications reflect a deep engagement with both hardware innovation and system-level integration of smart technologies. Notable projects include energy-autonomous parking sensors and novel RFID-based medical monitoring systems. Collaborations involve cross-disciplinary efforts in electrical engineering, computer science, and biomedical engineering, with applications ranging from industrial automation to personalized healthcare solutions. While no formal awards are listed, his prolific publication record and repeated funding of experimental platforms indicate significant academic influence.

• Computational Thinking
• Neural Networks
• Machine Learning
• +۶ مورد دیگر

Anthony V. Robins is a Professor in the Department of Computer Science at the University of Otago, New Zealand. His work spans neural networks , computational cognition , computer science education , and machine learning . With over three decades of publication history, Robins has contributed to understanding catastrophic forgetting , prototype analysis , and reinforcement learning in artificial neural networks. His recent research (2024-2025) focuses on Hopfield networks and Boltzmann neural networks , particularly their applications in state classification , supra-classical logic , and sequential learning . Collaborations with researchers like Hayden McAlister and Lech Szymanski highlight his work in memory systems and Hebbian learning . Robins has also made significant contributions to high school computing education in New Zealand, analyzing curriculum implementation , student perspectives , and teacher challenges through publications in venues like ACM Trans. Comput. Educ. and ACE. His work on self-regulated learning and educational frameworks addresses systemic issues in computing education.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۵ مورد دیگر

Jing Zhao is a Professor at Beijing Institute of Technology's School of Automation, Department of Computer Science, with an extensive publication record spanning artificial intelligence, computer vision, medical imaging, and robotics. Their interdisciplinary research bridges theoretical computer science with practical applications in healthcare, agriculture, and engineering. Research interests focus on cutting-edge AI methodologies including deep learning architectures, neural rendering techniques, and multimodal systems. Notable work includes advancements in 3D reconstruction (Gaussian Splatting), medical image analysis for cancer diagnosis, and novel approaches to EEG-based emotion recognition. The research demonstrates strong interdisciplinary connections between computer science and domain-specific applications. Recent publications reveal a consistent trend toward practical AI implementations across diverse fields. Jing Zhao's work shows expertise in adapting theoretical machine learning concepts to solve real-world problems in medical diagnostics, agricultural monitoring, and robotics. The research portfolio demonstrates particular strength in developing novel neural network architectures for specialized applications. As a corresponding author on numerous high-impact publications, Jing Zhao appears to lead a productive research group with collaborations spanning multiple institutions and disciplines. The publication record indicates significant contributions to both theoretical computer science and applied AI solutions across various domains.

Ingmar Ickerottمشاهده پروفایل

استاد

• Logistics Management
• Digitalization in Supply Chains
• Smart Glasses Applications
• +۳ مورد دیگر

Prof. Dr. Ingmar Ickerott is a faculty member at Osnabrück University of Applied Sciences, affiliated with the School of Management, Kultur und Technik (MKT, Campus Lingen) under the University management department. His academic career spans over two decades, focusing on logistics management, digitalization in supply chains, and smart technology applications like Smart Glasses and Augmented Reality . Academic Background : Diplom-Kaufmann in Business Administration (2001), Ph.D. in Economics (2006). Professional Roles : Senior Project Manager at arvato (2008–2010), Professor since 2010, Dean of MKT since 2019, Vice President for Digitalization since 2019. His research emphasizes logistics innovation , Lean Management , and digital solutions in rural healthcare . Key projects include Land.Digital (2019–2022) and LEAN 4.0 (Erasmus+, 2019–2021). Publications since 2004 cover agent-based simulation , Smart Device economics , and AR in logistics . He actively lectures on topics like Logistics 4.0 and Digital Onboarding . Projects & Grants : Land.Digital : €165,000+ (Erasmus+), 2019–2021. Dorfgemeinschaft 2.0 : €1.46M (BMBF), 2015–2021. Glasshouse : €208,557 (BMBF), 2015–2019.

Oliver Mischkeمشاهده پروفایل

پژوهشگر

• Side-Channel Cryptanalysis
• Efficient Cryptographic Implementation
• Hardware Security
• +۳ مورد دیگر

Dr. Oliver Mischke is an academic researcher focusing on hardware security and cryptographic implementations. He was affiliated with the Chair for Embedded Security at the Horst Görtz Institute for IT Security, Ruhr-University Bochum. His research emphasizes side-channel cryptanalysis, efficient cryptographic algorithms, and secure hardware design. Mischke completed his PhD in Security in Information Technology at Ruhr-University Bochum (2011–2013), with a year abroad at Purdue University (2007–2008). He has held roles as a Security Engineer (ESCRYPT GmbH) and an intern at Qualcomm's Product Security Group. His research interests include FPGA-based cryptographic implementations, fault analysis, and countermeasures against side-channel attacks. Notable contributions involve dynamic logic reconfiguration for FPGA security, glitch-resistant masking schemes, and evaluation of AES countermeasures. Mischke's publications span conferences like HOST, CHES, and IEEE venues, focusing on cryptographic hardware security, timing attacks, and secure embedded systems. His work bridges theoretical cryptography with practical hardware implementations, addressing vulnerabilities in reconfigurable and embedded systems. He has contributed to projects such as the MicroACP crypto-processor and IPSec core designs. His collaborations include prominent institutions and industry partners, reflecting a strong emphasis on applied security solutions.

• Virtual Reality
• Augmented Reality
• Mixed Reality
• +۷ مورد دیگر

Pascal Knierim is a researcher in the Department of Computer Science at Ludwig Maximilian University of Munich, Germany. He completed his PhD at the same institution in 2020 with a dissertation titled "Enhancing interaction in mixed reality: the impact of modalities and interaction techniques on the user experience in augmented and virtual reality." His research focuses on human-computer interaction, particularly in virtual and augmented reality environments, with an ORCID identifier 0000-0001-9578-9953. Knierim's research interests span virtual reality, augmented reality, mixed reality, ubiquitous computing, and extended reality systems. He has made significant contributions to understanding user interaction in immersive environments, privacy considerations in VR/AR, biometric identification using thermal imaging, and universal interaction frameworks. His work often combines technical innovation with user-centered design principles, resulting in numerous publications at top-tier venues including CHI, MUM, UbiComp, and IEEE Pervasive Computing. Recent work has explored content blocking in extended reality, social anxiety in VR proxemics, user awareness of privacy permissions, and framework development for ubiquitous research preservation. Knierim has collaborated extensively with researchers such as Thomas Kosch, Florian Alt, and Albrecht Schmidt, forming a productive research group within LMU Munich's computer science department. He has also contributed to the academic community through editorial roles for major conferences including Mensch und Computer 2023 and the 22nd International Conference on Mobile and Ubiquitous Multimedia (MUM 2023), demonstrating leadership within his research community. His research demonstrates a strong commitment to both theoretical advancement and practical applications of immersive technologies, with particular attention to user experience, privacy, and accessibility considerations.

Miriam Clincyمشاهده پروفایل

استاد

• Mathematics Education
• Physics Education
• STEM Teacher Training
• +۳ مورد دیگر

Prof. Miriam Clincy is a Professor of Mathematics, Physics, and STEM Teacher Training at Hochschule Esslingen University of Applied Sciences. She holds roles as University Representative for Higher Education and Associated Member of the Tübingen School of Education (TüSE). Her work focuses on innovative educational technologies, particularly online assessment systems like STACK in Moodle, and teacher training methodologies. Education: PhD in Physics, University of Edinburgh (2003) Physics Diploma (M.Sc. equivalent), Universität Heidelberg & University of Edinburgh (2000) Research Interests: Prof. Clincy bridges theoretical physics and STEM education. Key areas include online testing innovations, peer feedback systems, and teacher training through simulation-based assessments. She also maintains research on non-equilibrium systems from her earlier work in statistical mechanics. Publications: Recent work emphasizes educational technology (e.g., sandbox testing environments, Moodle integration) alongside foundational physics contributions in driven systems and phase transitions. Awards: Baden-Württemberg-Zertifikat für Hochschuldidaktik (2020) Advising & Grants: As Dean of Study (2019–2021), she oversaw TVET teacher training accreditation. Current projects include collaborative initiatives with the University of Tübingen and participation in the „Lehre hoch n“ network for educational innovation. Labs/Teams: Active in Hochschule Esslingen’s Basic Sciences faculty, contributing to curriculum development and assessment frameworks.

• Geothermal Energy
• Structural Geology
• Geophysical Modeling
• +۳ مورد دیگر

Prof. Florian Wellmann is a University Professor at RWTH Aachen University's Chair of Numerical Geosciences, Geothermal Energy and Reservoir Geophysics within the Faculty of Georesources and Materials Engineering. His research focuses on integrating machine learning with geoscience applications, particularly in geothermal energy, structural modeling, and uncertainty quantification. He leads the CG³ research group, developing open-source tools like GemPy and GemGIS for 3D geological modeling. Notably, he received a KI-Campus fellowship for advancing AI in geoscience education. His work includes projects such as the Horizon Europe GeoHEAT initiative, exploring geothermal systems and repurposing idle wells for energy. Education details are not explicitly provided, but his academic roles indicate expertise in numerical geosciences and geothermal engineering. Research interests span physics-based machine learning, subsurface characterization, and probabilistic modeling. His fellowship highlights contributions to digital education, blending AI with geological curricula. Recent publications emphasize sensitivity analysis, fault modeling, and geothermal reservoir optimization. Prof. Wellmann's awards include the KI-Campus fellowship (2021). His grants and advising efforts are reflected in collaborative projects like GeoHEAT and software development. Labs/teams include the CG³ group at RWTH Aachen, equipped with advanced geophysical instruments for field and lab analysis.

• Innovation Management
• Digital Transformation
• Decision-Making Biases
• +۵ مورد دیگر

Prof. David Antons is a Professor at the University of Bonn and holds an affiliated position at RWTH Aachen University's Institute for Technology and Innovation Management (TIM). He previously served as a former co-director of TIM and held visiting roles at the University of Cambridge and Melbourne University. His research focuses on innovation management, decision-making biases, and digital transformation, with notable work on hybrid intelligence and human-AI collaboration. Education: PhD in Technology and Innovation Management (RWTH Aachen, 2013), Habilitation in text mining for management research (RWTH Aachen). Research Interests include organizational climate, psychological factors in decision-making, and applications of natural language processing. His work bridges academia and industry, collaborating with sectors like healthcare, finance, and civil engineering. Awards include the RWTH Lecturer Award for distinguished teaching and research, multiple DAAD scholarships, and recognition for interdisciplinary work. His research has been shortlisted for prestigious awards like the 'Innovating Innovation' Award by HBR/McKinsey. Key contributions address organizational identity threats, agile vs. stage-gate development, and leveraging machine learning for service innovation. His studies on infection control in hospitals highlight impacts of organizational practices on MRSA rates.

• Natural Language Processing
• Computational Linguistics
• Artificial Intelligence
• +۷ مورد دیگر

Jing Jiang is a prominent researcher at Singapore Management University, specializing in Natural Language Processing (NLP), Computational Linguistics, and Artificial Intelligence. His work spans diverse areas including Vision-Language Models, Machine Translation, Knowledge Graph Reasoning, Sentiment Analysis, and Social Media Discourse Modeling. Key contributions include frameworks for consistent client simulation in mental health counseling and counterfactual contrastive prefix-tuning for many-class classification. He has pioneered methods in zero-shot VQA with interpretable reasoning graphs , cross-lingual understanding with universal syntax , and modularized zero-shot architectures . His research often combines theoretical insights with practical implementations, as seen in works on stereotypical bias in vision-language models (VLStereoSet), tensorized self-attention for dependency modeling, and collaborative relation-augmented attention for knowledge graph completion. Jing Jiang's collaborations span global experts in NLP and AI, with co-authors from institutions like SMU, Waseda University, and Microsoft Research.