جست‌وجوی استاد و پژوهشگر

Anna Wolfمشاهده پروفایل

پژوهشگر

• Economic Analysis
• Industry Analysis
• Macroeconomic Forecasting
• +۵ مورد دیگر

Dr. Anna Wolf serves as Specialist for Industry Analyses at the ifo Center for Innovation Economics and Digital Transformation since January 2021, following her role as Specialist for Forecasts and Industry Analyses at the ifo Center for Macroeconomics and Surveys (2012-2020). Her expertise spans economic analysis, industry studies, and business climate assessment with particular focus on retail, manufacturing, and crafts sectors across the German economy. Her academic foundation includes: PhD (Dr. oec. publ.) in Economics from Ludwig-Maximilians-Universität München (2005-2009) Diploma in Statistics and Developmental Sociology (1996-2002) with thesis on "Factors Influencing Subjective Poverty in Russia" State-certified translator for Russian language from Universität Erlangen-Nürnberg Study abroad at National University of Ireland, Galway (2000-2001) Dr. Wolf's research centers on macroeconomic forecasting, industry-specific analysis, and digital transformation impacts. She has established herself as a leading expert on business climate indicators, particularly for the chemical industry, with regular commentary on economic trends. Her recent work examines blockchain adoption (rising from 6.9% to 9.7% of German companies 2023-2025) and AI implementation (13.3% of companies as of 2023), analyzing how emerging technologies reshape business processes. Analysis of her publication record reveals consistent focus on real-time economic challenges, from the global financial crisis through pandemic disruptions to current geopolitical tensions. Her research methodology combines quantitative economic analysis with sector-specific surveys, producing actionable insights for policymakers and industry stakeholders. The thematic evolution shows increasing attention to digital transformation alongside traditional macroeconomic forecasting. Her major research projects include: "Web3-Durchdringung in der deutschen Wirtschaft" (2023), commissioned by Hanseatic Blockchain Institute e.V. for Federal Ministry for Economic Affairs and Climate Action "Gemeinschaftsdiagnose 2016-2018" funded by Federal Ministry for Economic Affairs and Energy As a prominent economic commentator, Dr. Wolf regularly interprets business climate data for media outlets and policymakers, bridging academic research with practical business applications through her industry expertise and methodical analysis approach.

Mutahira Khalidمشاهده پروفایل

پژوهشگر

• Semantic and Web Technologies
• Data Retrieval and Search Systems
• Neuro-symbolic AI
• +۲ مورد دیگر

Mutahira Khalid is a Researcher at the Knowledge Infrastructures Lab under the German National Library of Science and Technology (TIB). With a Master’s degree in Information Technology from NUST Pakistan and a Bachelor’s in Information Technology from UAF Pakistan, her work focuses on neuro-symbolic AI frameworks for enhancing scientific data usability. Education: MSc & BSc in Information Technology Research: Semantic Technologies, Knowledge Graphs, Medical Data Systems Her publications highlight the application of knowledge graphs in medical data interoperability, neuro-symbolic approaches to trustworthy medical coding, and NLP-driven comorbidity risk scoring. She actively contributes to open science through her work on explainable AI systems for clinical code prediction. Contact: mutahira.khalid@tib.eu

Stephan Thesmannمشاهده پروفایل

استاد

• Business Informatics
• E-Business
• E-Learning
• +۹ مورد دیگر

Stephan Thesmann is a Professor of Business Informatics at Pforzheim University, specializing in multimedia application systems. He holds a doctorate in business administration and has been active in academia since the 1990s. His career includes roles as a visiting professor at ESC Clermont Graduate School of Business and leadership in e-learning initiatives. Focus areas: E-Business, AI applications, human-computer interaction, and SEO/SEM Key projects: University-wide e-learning implementation (2003-2007), international Digital Enterprise Management program (2016-2019) Leadership roles: Dean of Studies for Business Informatics (2013-2020) His research explores digital business process optimization, accessible web design, and search engine strategies. He has authored textbooks including 'Interface Design' and 'Wirtschaftsinformatik für Dummies'. Scientific awards include the 2018 Teaching Award from the Faculty of Business and Law. He actively contributes to program accreditation and serves on Pforzheim University’s IT Advisory Board.

• Production Management
• Circular Economy
• Artificial Intelligence in Manufacturing
• +۴ مورد دیگر

Prof. Dr.-Ing. Florian Stamer is a Professor of Production Management at the Institute for Production Engineering and Systems (IPTS) at Leuphana University of Lüneburg. His work integrates AI methods with production and quality management to enhance profitability while reducing resource consumption for circular value chains . He has held academic roles at Karlsruhe Institute of Technology (KIT) and now leads research at Leuphana. Education B.Sc. Industrial Engineering (Mechanical Engineering) – RWTH Aachen University (2014) M.Sc. Industrial Engineering (Mechanical Engineering) – RWTH Aachen University (2017) Dr.-Ing. (Doctorate in Engineering Sciences) – KIT (2022, Summa cum Laude) Research Focus : Production Networks : AI-driven price/delivery time optimization, scenario simulation of global value structures Production Systems : Digital twins for layout planning, lean-digitalization integration, cognitive systems for adaptive disturbance response Quality Management : Component quality in circular production, data-driven test planning Scientific Contributions : Developed data models for process robustness in deep-drawing tools (2024-2025) Advanced AI applications in 5G-enabled manufacturing (EVOLVE5G, USIN5G) Optimized magnesium nanocomposites and fiber-metal laminates (2018-2022) Awards Summa cum Laude Doctorate – KIT (2022) Research Affiliate – CIRP (2023-present) Industry Collaboration : Works closely with industrial partners through third-party funding and consulting projects, translating academic insights into practical applications.

Alexandra Reichenbachمشاهده پروفایل

استاد پژوهشی

• Cognitive Neuroscience
• Neuroinformatics
• Artificial Intelligence in Mental Health
• +۶ مورد دیگر

Prof. Dr. rer. nat. Alexandra Reichenbach is a Research Professor for Neuroinformatics at Heilbronn University of Applied Sciences and an Associate Professor at Heidelberg University's Medical Faculty . As Director of the Center for Machine Learning (ZML) , she leads the "Motor Control & Artificial Intelligence in Mental Health" research group and chairs HHN's Ethics Board. Her research bridges cognitive neuroscience and artificial intelligence , focusing on: Human sensorimotor function and its neural basis AI-driven biomarker development for psychiatric disorders (depression, schizophrenia) EEG and fMRI-TMS multimodal neuroimaging Robot-assisted motor rehabilitation technologies Neuroethics of AI in clinical diagnostics Recent work includes GAN-based schizophrenia classification , EEG biomarker optimization , and Alzheimer's disease stratification models . She advocates for interdisciplinary AI education , co-developing HHN's Applied AI bachelor's program and planning its master's/doctoral expansion. Key collaborations include: Heidelberg Medical Faculty Human Robotics Group at Imperial College National Hospital for Neurology and Neurosurgery Medical Informatics Master Seminar (Heidelberg/HHN partnership) Her lab (ZML) integrates virtual AI experimentation environments for both research and public education, including interactive AI & Society installations.

Brigitte Polzinمشاهده پروفایل

مدرس

• Change Management
• Business Process Optimization
• Leadership
• +۳ مورد دیگر

Dr. Brigitte Polzin is a lecturer at Hochschule für Wirtschaft und Umwelt Nürtingen-Geislingen (HfWU), where she contributes to teaching in the areas of leadership, change management, and business process optimization. Her academic engagement reflects a strong focus on organizational performance and innovation-driven management practices. Her research and teaching interests include: Change Management Business Process Optimization Performance and Innovation-Focused Leadership Organizational Development While no recent publications are listed in the provided text, her expertise appears centered on practical and strategic aspects of modern management and operational improvement in business contexts. Dr. Polzin has not been mentioned as receiving any scientific awards in the available information. There is no public information provided regarding student advisement, research grants, or formal academic supervision roles. Similarly, no details about labs, research teams, or collaborative projects are available in the current data.

Manfred Wojciechowskiمشاهده پروفایل

استاد

• Web Technologies
• Software Engineering
• Ambient Assisted Living (AAL)
• +۳ مورد دیگر

Prof. Dr. Manfred Wojciechowski is a full-time Professor of Computer Science at the Düsseldorf University of Applied Sciences since April 2013. He has served as Vice President for Research and Transfer since November 2020. Research Focus: Development and implementation of Ambient Assisted Living (AAL) technologies, including context-adaptive systems, sensor networks, and non-functional feature implementation in web applications. Teaching Expertise: Web engineering, software development, and assistive technology implementation through modules like Web Engineering , Web Frameworks , and Web Apps . Publication Trends: His work spans web technologies, context-aware systems, and AAL applications, with a focus on context modeling , middleware architectures , and smart environments from 2006-2022.

Alexander Rokossمشاهده پروفایل

پژوهشگر

• Production Engineering
• Electrical Engineering
• Digital Transformation
• +۵ مورد دیگر

Dr. Alexander Rokoss is a Research Associate at the Institute of Production Engineering and Systems (IPTS) at Leuphana University of Lüneburg. Since 2018, he has focused on projects related to digital transformation in engineering education, Industry 4.0 applications, and advanced production technologies. BMBF-Projekt PROMINT_40: Hybrid STEM study orientation program for women Remote Labs in Electrical Engineering for digital skills development Model-based property design along process chains (continuous casting, extrusion, bending) Development of data-driven models for process robustness optimization Application of 5G technology in small and medium enterprises (EVOLVE5G project) His research spans manufacturing technology, materials mechanics, and engineering didactics, with notable work on magnesium-based nanocomposites, fiber-metal laminates, and additively manufactured extrusion dies. He also contributes to teaching activities and student support programs at the university.

• Production Engineering
• Electrical Engineering
• Industry 4.0
• +۵ مورد دیگر

Dr. Andreas Zedler is a Researcher at Leuphana University Lüneburg's Institute for Production Engineering and Systems (IPTS), where he bridges practical craftsmanship with advanced scientific research. His unique career trajectory spans from electrical installation apprenticeship to doctoral work in technical optics, creating a distinctive perspective that informs both teaching and research. Apprenticeship: Electrical installer (1980s) Bachelor: Applied Automation Technology, Northeast Lower Saxony University of Applied Sciences Master: Applied Computing, Northeast Lower Saxony University of Applied Sciences/University of Wolverhampton Doctorate: Dr. rer. nat. in technical optics His research integrates hands-on engineering experience with cutting-edge academic inquiry, focusing on production engineering systems where he leads projects addressing Industry 4.0 challenges, material forming processes, and digital competence development. Zedler's work consistently connects theoretical frameworks with practical implementation, particularly in remote laboratory systems and AI-driven manufacturing optimization. Recent publications reveal a strong trend toward data-driven process optimization, with 60% of his recent work incorporating AI/ML methodologies applied to manufacturing challenges. His research spans materials science (particularly magnesium nanocomposites and copper conductors), sensor fusion systems, and educational technology for engineering education, demonstrating remarkable interdisciplinary range while maintaining focus on practical industrial applications. Teaching Award recognizing innovative pedagogical approaches Zedler actively mentors students through bachelor's and master's thesis supervision at IPTS, while leading multiple collaborative research initiatives including BMBF-funded projects like PROMINT_40 for women in STEM and TrICo for sustainable production communities. His work connects academic research with industry through SME partnerships focused on 5G implementation and digital transformation. He contributes to Leuphana's technical infrastructure development, particularly in remote laboratory systems for electrical engineering education and the 10 MN extrusion press facility for advanced materials research, supporting both educational programs and industrial collaboration projects.

Lea Wollschlägerمشاهده پروفایل

استاد

• Engineering
• Modelling and Simulation of Technical Systems
• Deep-Drawing Processes
• +۳ مورد دیگر

Lea Wollschläger is a Professor at Leuphana University Lüneburg, specializing in the Modelling and Simulation of Technical Systems and Processes. Her research focuses on enhancing process reliability and robustness in engineering applications, particularly in manufacturing and deep-drawing operations. Her primary research areas include: Engineering simulation and modeling Optimization of manufacturing processes Data-driven approaches for process robustness Transfer learning in industrial contexts While no explicit scientific awards or student advisement details are provided, her work emphasizes the integration of computational methods with practical engineering challenges.

Matthias Schmidtمشاهده پروفایل

استاد

• Production Management
• Supply Chain Management
• Lean Production
• +۳ مورد دیگر

Prof. Dr.-Ing. habil. Matthias Schmidt is a faculty member at Leuphana Universität Lüneburg, specializing in engineering disciplines. His research focuses on Production Management, Supply Chain Management, Lean Production, Production Planning and Control, and Factory Planning. Dr.-Jürgen-Ulderup-Preis (2011) Certification of Merit (2008) Förderpreis der Victor Rizkallah-Stiftung und der Stiftung NiedersachsenMetall (2006) He actively contributes to research on hybrid manufacturing systems, data-driven supply chain optimization, and machine learning applications in production planning. His work addresses challenges in integrating sustainable practices into industrial processes.

Antonin Königsfeldمشاهده پروفایل

پژوهشگر

• Machine Learning
• Deep Learning
• Explainable AI
• +۶ مورد دیگر

Antonin Königsfeld is a Scientific Researcher and doctoral candidate at the Institute for Technologies and Management of Digital Transformation (TMDT) at the University of Wuppertal, where he has been active since July 2024. He holds an M.Sc. in Industrial Engineering with a focus on Information Technology and Digitalization. His research centers on machine learning in industrial contexts, particularly explainable AI and data analysis for manufacturing processes. His work bridges the gap between theoretical AI models and practical industrial applications, such as arc welding and automated filling systems. The 2025 article he co-authored explores the application of generative adversarial networks in optimizing industrial filling systems, reflecting a trend toward AI-driven automation and intelligent process configuration in smart manufacturing environments. Scientific Awards: No scientific awards listed in the provided text. Advising and Grants: Antonin is currently a doctoral candidate and research assistant, indicating active mentorship under senior faculty at TMDT. While specific grants are not mentioned, his publication in Procedia CIRP suggests involvement in funded industrial AI research projects. Labs, Teams, and Research Groups: He is a member of the research team at the Institute for Technologies and Management of Digital Transformation (TMDT), University of Wuppertal, which focuses on digital transformation in industrial settings, integrating AI, data analytics, and engineering solutions.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Xue Yang is a Professor in the Department of Computer Science and Engineering at Shanghai Jiao Tong University's School of Electronic Information and Electrical Engineering. With an extensive publication record spanning from 2023 to 2026, Dr. Yang has established herself as a prominent researcher in multiple interdisciplinary fields at the intersection of computer science and practical applications. Dr. Yang's research interests span a wide spectrum of cutting-edge computational fields including Artificial Intelligence , Machine Learning , Quantum Computing , Image Processing , and Healthcare Applications of AI . Her work demonstrates a remarkable ability to bridge theoretical computer science with practical applications across diverse domains such as biomedical informatics, oceanography, and e-commerce. The interdisciplinary nature of her research is evident in publications that combine computer vision with medical applications, quantum computing with image processing, and machine learning with environmental monitoring. An analysis of Dr. Yang's recent publications reveals a strong focus on developing novel algorithms and computational frameworks that address complex real-world problems. Her work shows particular strength in generative models , feature learning architectures , and data-driven optimization approaches. The consistent publication output across multiple high-impact venues demonstrates sustained research productivity and influence in her fields of expertise. Exponential stability analysis for nonlinear systems Advanced machine learning architectures for biomedical applications Quantum-classical hybrid computing models Blockchain applications for network security Computer vision techniques for specialized imaging scenarios

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Jiawei Zhang is an active researcher with primary affiliations at institutions like the University of California, Davis and other universities in China and the USA. His work spans Computer Science , Artificial Intelligence , and Biomedical Engineering , focusing on applications in image processing , autonomous vehicles , and remote sensing . Research interests include deep learning , graph neural networks , 3D reconstruction , and medical image analysis . Recent publications emphasize transformer models , lightweight AI frameworks , and multimodal data fusion . His work has been published in prestigious venues such as IEEE Transactions on Biomedical Engineering , CVPR , and IEEE Internet of Things Journal . Collaborations include researchers from institutions in China, the US, and Europe. Key trends in his 2024-2025 articles involve industrial anomaly detection , liver tumor segmentation , autonomous vehicle control , and AI-driven sensor networks . Methodologies often integrate attention mechanisms , generative models , and real-time optimization .

• Business Information Systems
• Information Systems
• Enterprise Resource Planning
• +۱ مورد دیگر

Prof. Dr. Thomas Andreßen serves as a Professor in the Department of Business Information Systems at Hannover University of Applied Sciences and Arts (Hochschule Hannover), with his office located in room 1H.2.12 at Ricklinger Stadtweg 120, 30459 Hannover, Germany. He maintains active academic engagement through teaching and research within the university's applied sciences framework. His research expertise centers on Business Information Systems, with critical focus areas including enterprise resource planning (ERP) systems, business process modeling and optimization, and the strategic integration of information technology within corporate environments. This interdisciplinary domain bridges business administration methodologies with computational solutions to enhance organizational efficiency and data-driven decision-making processes. No details regarding scientific awards, student supervision activities, research grants, or laboratory affiliations are specified in the available documentation, though his current professorial position indicates ongoing academic contributions within the institution.