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Dr. Ivan Duric is a Research Fellow at the Department of Agricultural Markets, Agricultural Marketing and World Agricultural Trade, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Halle (Saale), Germany. Since October 2008 he has led and contributed to numerous international research projects focusing on digital transformation, trade policy, and value-chain analysis in agriculture and food systems. Education: Doctorate (Dr.) “summa cum laude” in Agricultural Economics, Faculty of Agriculture, Martin Luther University Halle-Wittenberg. Research Interests: Dr. Duric’s core expertise lies at the intersection of digital technologies and agri-food economics . His work explores how machine learning, blockchain, and immersive analytics reshape agricultural value chains, enhance transparency, and improve competitiveness. He continually investigates price transmission mechanisms , the impact of trade policy shocks (e.g., export bans, import restrictions), and pathways to strengthen food security in transition and emerging economies. Across more than forty peer-reviewed articles and policy briefs, a clear trend emerges: rigorous empirical assessment of how policy interventions and digital innovations jointly determine market outcomes—from wheat-to-bread chains in Serbia to salmon value networks spanning Norway, France and Poland. Awards & Recognition: Doctoral degree awarded “summa cum laude” (highest distinction), Martin Luther University Halle-Wittenberg. Grants & Collaborative Projects: Dr. Duric has co-ordinated or served as senior researcher in major EU and German-funded initiatives including AGRICISTRADE, AgriDigital, AGRIIMMERSE, VALUMICS, SecureFood, GERUKA, eTrust-Food, DITAC, GTRS, STARLAP, TAAST, UaFoodTrade , and the IAMO XR Lab . These projects investigate global grain trade, digital platform adoption, consumer trust, resilience of food systems, and immersive data analytics. Labs & Teams: He is a founding member and scientific lead of the IAMO XR Lab , where virtual-reality and immersive analytics are leveraged to visualize and interpret complex agricultural market data, creating new avenues for stakeholder engagement and policy dialogue.

• Digitalization in agriculture
• Artificial intelligence and machine learning in agri-food systems
• Blockchain applications in agriculture and food industry
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Prof. Dr. Matthias Krauledat is a faculty member at Hochschule Rhein-Waal , specifically within the Faculty of Technology and Bionics . His academic career spans both theoretical research and industrial application, with a focus on Machine Learning and Brain-Computer Interfaces . After completing his PhD in Electrical Engineering/Computer Science at Technische Universität Berlin , he has contributed significantly to the advancement of EEG-based communication systems and neural signal processing methodologies. Born in Essen, Germany Studied Mathematics with a minor in Computer Science at University of Münster/Oxford Doctoral research at TU Berlin on Brain-Computer Interfaces Industrial experience at Henkel AG & DMT GmbH Research Interests focus on Machine Learning applications in Neuroscience and Biomedical Engineering , specifically Brain-Computer Interfaces , EEG Signal Processing , and Adaptive Classification Systems . His work explores how algorithms can be developed to enable self-learning computers to solve complex tasks involving neural data interpretation and prediction for previously unseen data in clinical and technological contexts. Publications demonstrate a consistent contribution to Neuroscience and Machine Learning fields, with particular emphasis on Brain-Computer Interface systems from 2004 through 2009. His research has focused on reducing training requirements, improving signal processing accuracy, and developing novel interaction paradigms like the Hex-o-Spell mental typewriter while addressing statistical challenges like covariate shift in neural data analysis. Professional Experience includes academic research at TU Berlin's Intelligent Data Analysis group, industrial software development roles at Henkel AG's Scientific Computing department, and TÜV Nord Group's Optical Metrology and Machine Diagnostics divisions. He maintains active research connections through collaborative publications with leading experts in the field.

• Machine Learning
• Brain-Computer Interface
• Signal Processing
• +3 more

Professor Reinhold Bopp serves at the University of Economics and Environment (Hochschule für Wirtschaft und Umwelt) as Professor of Automotive and Mobility Management since 2010, specializing in Development and Production Management within the Institute of Automotive Management. His educational background includes: Doctorate in Engineering from University of Stuttgart (2000), dissertation: "A method for optimizing residual value at the end of a product's life cycle" Master of Science in Mechanical Engineering/Economics from Northwestern University, USA (1991-1992) under DAAD scholarship Diploma in Mechanical Engineering from University of Stuttgart (1985-1992) Professor Bopp's research integrates engineering principles with business management in the automotive sector, focusing on development processes, production optimization, and product lifecycle management. His work bridges theoretical frameworks with practical industry applications, particularly in automotive manufacturing systems and mobility solutions. His academic recognition includes a DAAD scholarship for international study and his engineering doctorate earned under Prof. Dr.-Ing. habil. Prof. e.h. mult. Dr. hc mult. Hans-Jörg Bullinger at the University of Stuttgart. Professor Bopp maintains an extensive international academic presence with visiting professorships at Babes-Bolyai University (Romania), National Institute of Development Administration (Thailand), and Stanford University's Center for Design Research (2023), plus guest lectures at institutions across Jordan, Czech Republic, and Spain. Prior to his academic career, he held significant industry positions including various management roles at automotive supplier Magna (2003-2010), Managing Partner at ingeniCON GmbH (1999-2003), and Project Manager at Fraunhofer Institute for Industrial Engineering (1997-1999).

• Automotive Management
• Mobility Management
• Development Management
• +5 more

Prof. Monika Fuchs serves as a Professor at HTW Berlin within the Department of Clothing Technology/Ready-Made Clothing (B), actively engaged in teaching and research. Her institutional role encompasses leadership in academic projects and student supervision while maintaining regular office hours during academic semesters. Her research integrates sustainability principles across product lifecycle domains, with specialized focus on ergonomics in household laundry systems and vocational education frameworks. Key investigations address procurement management inefficiencies in textile supply chains, sustainable design of ready-made clothing, and behavioral aspects of consumer laundry practices. This interdisciplinary work bridges engineering, environmental science, and educational theory to advance circular economy models in apparel industries. Prof. Fuchs demonstrates significant scholarly productivity through 29 publications and leadership in 24 research projects, though specific award recognitions are not documented in available materials. Her methodological approach combines empirical user studies with systemic sustainability assessments. She has supervised 3 doctoral candidates and contributes to academic governance through assessment activities. Current office hours during winter semesters occur Wednesdays 2:00-3:00 PM, with individual appointments available after January 15, 2025, reflecting ongoing mentorship commitments. Her project portfolio indicates active collaboration with industry partners on sustainable textile innovation.

• Product management
• procurement management
• ergonomics
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Professor Siegfried Handschuh holds dual academic appointments as Associate Professor at the University of Passau and Ordinary Professor for Data Science at the University of St. Gallen. His research spans semantic technologies, information linguistics, and artificial intelligence applications in the humanities, with significant funding from the EU, Science Foundation Ireland, and Enterprise Ireland. His research focuses on making big data workable for humanities scholars through innovative AI approaches. Handschuh's work addresses critical challenges in digital humanities including inconsistent and non-integrated data with varying quality. His research interests encompass semantic technologies, information linguistics, information extraction, and distributional semantics, with particular emphasis on applying AI to art history and cultural heritage. Handschuh has coordinated numerous international research projects including the Digital Aristotle project initiated by Microsoft founder Paul Allen, which aimed to develop AI-powered educational tools. His Neoclassica project teaches machines to recognize neoclassical objects through formal language processing, while the PACE initiative establishes the Passau Centre for eHumanities as a research hub. Other significant projects include EU-Project MARIO for healthy aging with care robots and various studies on human-machine interaction. His scientific contributions focus on developing new tools for humanities researchers that leverage artificial intelligence to uncover novel contexts and relationships in cultural data. Handschuh's work bridges computer science with humanities disciplines, creating practical applications for semantic technologies in cultural heritage analysis.

• Semantic Technologies
• Information Linguistics
• Information Extraction
• +4 more

Christoph Heinzl is a Professor of Cognitive Sensor Systems at the University of Passau since September 2022. He leads the Knowledge-based Image Processing research group at the Fraunhofer Development Center X-ray Technology (EZRT) . His academic background includes a PhD in Informatics and a Habilitation in 2022 , both from TU Wien . Research Focus: Scientific visualization, visual analytics, immersive analytics, virtual/augmented reality, machine learning, and X-ray computed tomography (XCT). Key Trends: Development of novel visualization techniques for complex volumetric data (e.g., dynamic volume lines, visual coherence frameworks), parameter space analysis, and cross-virtuality collaboration tools. Applications: Aerospace component inspection, defect analysis in composites (CFRP, GFRP), porosity quantification, and 4DCT time-series exploration.

• Scientific Visualization
• Visual Analytics
• Immersive Analytics
• +3 more

Sebastian Heilmann is a Professor at the University of Trier , where he holds the Chair of Politics and Economics of China. He previously served as founding director of the Mercator Institute for China Studies (MERICS) in Berlin from 2013 to 2018, establishing it as Europe's leading China think tank. Research Focus : His work analyzes China's political economy, industrial and technology policies, and cross-sectoral governance through comparative and historical lenses. Key areas include policy experimentation, state-led development planning, and adaptive governance mechanisms in authoritarian systems. Academic Trends : His publications reveal sustained engagement with China's institutional flexibility, global economic influence, and hybrid policy frameworks blending centralized planning with localized experimentation. Collaborations with Harvard and Oxford institutions underscore his international academic prominence.

• Political Economy
• Chinese Studies
• Economic Policy
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Sarah Ruth Sippel is a Professor in Human Geography at the Institute of Geography, University of Münster. Her research spans critical agrarian and agri-food studies, financialization of nature, digital farming technologies, and sustainable livelihoods, with regional focus on the Mediterranean, Australia, and the US. She leads major research projects funded by the German Research Foundation and has received the prestigious Marie Skłodowska-Curie Global Fellowship. PhD in Geography, Leipzig University (2012) Habilitation in Geography, Leipzig University (2020) Magister Artium, Middle Eastern Studies and Philosophy, Leipzig University (2007) Her research explores the financialization of farmland, digital agriculture, and alternative economic futures, with a strong emphasis on political and social geography. She investigates how digital technologies, financial actors, and global capital reshape land use, labor, and food systems, particularly in Australia and Morocco. Recent publications highlight trends in digital farming, land assetization, and food sovereignty. Her work critically engages with the role of venture capital, startups, and data in transforming agriculture, while also exploring grassroots resistance and alternative economic models. Marie Skłodowska-Curie Global Fellowship Sippel has supervised and collaborated with numerous researchers across institutions including the University of Queensland, University of Graz, and the International Institute of Social Studies. She is actively involved in teaching courses on economic geography, globalization, and critical debates in human geography, and leads field schools in Italy. She is currently on parental leave until summer 2025. She is a principal investigator in the Collaborative Research Centre SFB 1199 ‘Processes of Spatialization Under the Global Condition’ and has led multiple interdisciplinary projects on land, finance, and sustainability.

• Critical Agrarian Studies
• Agri-Food Studies
• Financialization of Nature
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Dr. Xiaomin Liu is a Group Leader at the Max Planck Institute for Polymer Research's Department of Molecular Spectroscopy, specializing in optical super-resolution microscopy and laser technology. Her work focuses on developing advanced imaging techniques using nanomaterials and fluorescence dyes. PhD in Optical Engineering, Technical University of Denmark (2011) Postdoctoral Research, Technical University of Denmark (2011-2015) Postdoctoral Research, Max Planck Institute for Polymer Research (2015-2017) Her research explores fluorescent blinking mechanisms of nanomaterials and super-resolution imaging applications , leveraging laser systems and novel fluorescence dyes. Recent publications emphasize nanographene-based microscopy tools and room-temperature phosphorescence in advanced materials. Key trends in her work include: Development of broadband wavelength-tunable femtosecond fiber lasers Investigation of acid-induced fluorescence enhancement in nanographenes Engineering room-temperature phosphorescence via molecular charge-transfer effects Designing polarized emission materials through asymmetric center manipulation Her group collaborates with international researchers in laser technology and material science, supported by Danish FTP and NIH grants. She works with partners like Klaus Müllen, Mischa Bonn, and Andrey Turchinovich.

• Optical Engineering
• Super-resolution Microscopy
• Laser Technology
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Philip Wadler is Professor of Theoretical Computer Science at the University of Edinburgh and Senior Research Fellow at IOHK. He is an ACM Fellow, Fellow of the Royal Society, and Fellow of the Royal Society of Edinburgh. His work spans programming language design, type systems, and formal verification, with significant contributions to Haskell, Java, and XQuery. He has held leadership roles in ACM SIGPLAN and served on editorial boards for major journals. Research Interests: Wadler's research focuses on the foundations of programming languages , including Gradual and session typing Language-integrated query Functional and logic programming XML data models Parametricity and free theorems Verification of smart contracts Publication Trends: Recent articles emphasize type safety, formal verification, and blockchain applications. Key themes include gradual typing (blame calculus), session types for concurrency, and logical foundations of programming. His 2015–2025 papers show sustained focus on type theory and language design . Awards & Recognition: POPL Most Influential Paper (2003 for 1993 work) SIGPLAN Distinguished Service Award Best Paper SBMF 2018 Royal Society-Wolfson Fellowship (2004–2009) ACM Fellow (2007) Fellow of Royal Society of Edinburgh (2005) Advising & Grants: He has supervised numerous PhD students in programs like the Centre for Doctoral Training in Pervasive Parallelism. His EPSRC Programme Grant "From Data Types to Session Types" (2013–2020) funded major advances in concurrency theory. Current work with IOHK explores blockchain verification using Haskell-based Plutus.

• Theoretical Computer Science
• Functional Programming
• Programming Language Foundations
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Dr. Stefan Janke is an academic staff member at the University of Mannheim within the School of Social Sciences. His office is located at A 5, 6, Room B313 in Mannheim, Germany, and he can be contacted via email at stefan.janke@uni-mannheim.de. As a Privatdozent (PD), he holds a position that follows the completion of habilitation in the German academic system, granting him the right to teach independently at the university level. Dr. Janke's research program spans several interconnected domains in educational psychology. His primary focus is on motivation in educational contexts, particularly examining achievement goals and their relationship to academic dishonesty, faculty motivation, and how instructional practices influence student motivation. He has developed significant expertise in understanding how different goal orientations affect academic behaviors and outcomes. A second major research strand involves the digitalization of educational processes, where he investigates online self-assessment tools, AI applications in educational guidance systems, cheating behaviors in web-based testing environments, and how motivation and well-being are affected in online learning contexts. His work in this area has become increasingly relevant with the digital transformation of education. His recent publications (2022-2025) reveal a strong focus on achievement goal theory, academic integrity, digital educational tools, and the impact of social factors on educational outcomes. Many studies examine how social norms influence academic behavior, how motivation affects learning outcomes, and how digital tools can be optimized for educational guidance. There's also significant attention to equity issues, particularly how migration background and parental education affect students' sense of belonging and academic success. The research often employs longitudinal designs and international comparisons, with a growing emphasis on the impact of digitalization and the pandemic on educational processes. Dr. Janke serves as principal investigator for multiple externally funded projects including 'KISTE-BW' (developing an AI-supported procedure for measuring study interests), 'NEST-BW' (refining state-level initiatives for optimal student selection in higher education), and 'ZiFo' (in-depth studies on achievement goals in research, funded by the German Research Foundation). Previously, he led projects on academic dishonesty (CHEAT) and self-reflection tests for prospective students (SMArt²). He also supervises bachelor's and master's theses, contributing to student development and academic training.

• Motivation in Education
• Achievement Goals
• Academic Dishonesty
• +14 more

Prof. Dr. Cedrik Meier is a faculty member at the University of Paderborn , affiliated with the Faculty of Natural Sciences and serving as the head of the Department of Physics . He holds the academic rank of Professor and chairs the Audit Committee. Education: Diplom in Physik, Ruhr-Universität Bochum (1998) Dr. rer. nat. in Experimentalphysik, Ruhr-Universität Bochum (2001) Habilitation, Universität Duisburg-Essen (2007) His research focuses on Nanophotonics , Plasmonics , Metamaterials , and Nonlinear Optics . The work involves developing novel photonic devices using nanofabrication techniques and materials like zinc oxide (ZnO) and silicon metasurfaces . Recent publications highlight advancements in third harmonic generation , correlated photon sources , and nonlinear optical effects in nanostructured materials. Key projects include TRR 142 (Tailor-Made Nonlinear Photonics) and studies on quantum dot positioning and liquid crystal-tunable devices . Scientific Awards: Golden Chalk for teaching physics (2016) Junge Kolleg, NRW Academy of Sciences (2007) Gottschalk-Diederich Baedeker Prize (2007) NanoFutur Award (2006) DFG Postdoc Fellowship (2003) Evangelical Study Association Villigst Scholarship (1998) He has led research groups at multiple institutions and currently oversees the Nanophotonics & Nanomaterials working group. His teaching includes Experimental Physics D and Lab Projects .

• Nanophotonics
• Plasmonics
• Metamaterials
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Prof. Dr. Harald Ritz serves as Professor of Practical Computer Science, especially Business Informatics, at the Technical University of Central Hesse (THM) within the Department of Mathematics, Natural Sciences and Computer Science since 2003. He holds leadership roles as Chair of Examination Committees for B.Sc. and M.Sc. Business Information Systems and Spokesperson for the MNI department in the Business Informatics Working Group (AKWI). His educational background includes a Diplom in Business Informatics (Dipl.-Wirtsch.-Inform.) and doctorate (Dr. rer. pol.) from the Technical University of Darmstadt, following professional experience at SAP SI AG and a professorship at Heilbronn University of Applied Sciences. Ritz's research centers on AI-driven digital transformation for data-driven enterprises, with focus on the “Data to Decision” value chain encompassing Framing, Allocation, Analytics, and Preparation phases. His work integrates business intelligence, data warehousing, machine learning, and SAP ecosystems to address challenges in SME digitalization, operational IT management, and educational technology. Current projects emphasize AI applications in higher education, including intelligent tutoring systems and automated feedback mechanisms. Analysis of his 15 most recent publications reveals a consistent trajectory toward applied AI solutions in business contexts, particularly in intelligent chatbots for educational support, financial trading algorithms, and cloud-based data infrastructure. The research demonstrates increasing integration of no-code platforms, real-time analytics, and domain-specific AI applications across logistics, banking, and procurement sectors. No scientific awards were documented in the source materials. Professor Ritz actively supervises academic development through bachelor’s and master’s theses, doctoral research, and collaborative projects. Current initiatives include the “Winfy” AI chatbot (v4.0, 2025), AI-based feedback systems for educational content (Freiraum 2025 grant), the frits intelligent tutoring project with Prof. Kammer, and doctoral research on AI adoption in SMEs. His work bridges theoretical research with practical implementation in SAP environments and cloud platforms. He operates within THM’s MNI department infrastructure, collaborating through the Business Informatics Working Group (AKWI) and contributing to the Digital Classroom communication platform for online education.

• Business Informatics
• Artificial Intelligence
• Business Intelligence
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Prof. Dr. Martin Luccarelli serves as Professor of Industrial and Material Design and Deputy Head of the Teaching and Research Centre for Interactive Materials (LFZ IMAT) at Reutlingen University's TEXOVERSUM School of Textiles. His expertise bridges sustainable design, material innovation, and user-centered product development. Teaching Areas: Industrial/material design Location: Building 1, Room 116 Research focuses on green design cues , interactive materials , and sustainable product personality , particularly in automotive contexts. Publications highlight interdisciplinary approaches to design education , eco-friendly material perception , and user interface optimization . Key projects include InBiO (bio-based car interiors) and KICKup (AI-driven cellulose cycles). Contact: martin.luccarelli@reutlingen-university.de

• Sustainable Design
• Industrial Design
• Material Design
• +5 more

Prof. Dr. phil. Sebastian Vogt is a full-time faculty member at the Technische Hochschule Mittelhessen (University of Applied Sciences Mittelhessen), specializing in media production and media technology . His research focuses on technologically induced educational and media innovation, emphasizing media didactics, system engineering of IT-supported broadcast systems, and the development of lifelong learning frameworks in audiovisual media. He actively contributes to academic self-governance as a member of the Sustainability Board , the Media Informatics Bachelor Study Committee , and the IT Project Committee . His teaching portfolio includes courses such as Media Design , Audiovisual Media , and Research Seminars on topics like studio and film production technologies. Laboratory : Leads the Laboratory for Moving Images and Sound (formerly Media Laboratory), focusing on practical and theoretical aspects of audiovisual systems.

• Educational Innovation
• Media Technology
• Media Didactics
• +5 more