جست‌وجوی استاد و پژوهشگر

Kim van Oorschotمشاهده پروفایل

استاد

• Systems Thinking
• System Dynamics
• Operations Management
• +۴ مورد دیگر

Kim van Oorschot is a Professor in the Department of Accounting and Operations Management at BI Norwegian Business School. Previously, she served as an Associate Professor at BI (2011-2016), Assistant Professor at Eindhoven University of Technology (2008-2011), Post-Doc at Tilburg University, and Research Fellow at INSEAD. She also worked as a consultant at Minase Consulting BV from 2002-2006, serving major clients like ASML, DSM, KPN, NXP, and Stork Fokker. Dr. van Oorschot holds a PhD (2001) and MSc (1996) from Eindhoven University of Technology. Her research focuses on decision-making, trade-offs, and tipping points in dynamically complex settings like supply chains and new product development projects. She specializes in identifying 'decision traps'—short-term beneficial decisions that have counterproductive long-term effects—using system dynamics modeling based on organizational data. Her work spans operations and supply chain management, project management, systems thinking, and product development. The analysis of her recent publications reveals a consistent focus on system dynamics approaches to complex organizational challenges. Her research demonstrates strong interdisciplinary connections between operations management, healthcare systems, sustainability reporting, and digital service delivery. A notable trend is her increasing focus on resilience in critical supply chains, particularly medicine supply systems during crises like Brexit and the COVID-19 pandemic. Her work often combines qualitative case studies with system dynamics modeling to reveal underlying patterns in complex systems. Dr. van Oorschot teaches system dynamics, operations and supply chain management, and project management to executive and master's students at BI Norwegian Business School. She has published in top-tier journals including Academy of Management Journal, Journal of Operations Management, Production and Operations Management, and Journal of Product Innovation Management. Her research has practical implications for organizations dealing with complex, dynamically evolving challenges where traditional analytical approaches fall short.

• Strategic Competence Management
• Entrepreneurship Theory
• SME Management
• +۳ مورد دیگر

Jörg Freiling is a Professor at the University of Bremen, affiliated with the Faculty of Economics and the SCOUT Institute for Strategic Competence Management. His research focuses on strategic competence management, entrepreneurship theory, SME management, business start-ups, strategic management, and service management. He leads the LEMEX Chair for Small Business, Entrepreneurship, and Start-up Management. His research explores theoretical and practical aspects of competence-based strategies in dynamic business environments. Key themes include resource orchestration, internationalization processes, service innovation, and entrepreneurial marketing. His work integrates evolutionary economics, systems dynamics, and network theory to analyze competitive advantage. Freiling's publications (2002-2006) predominantly address competence-based management frameworks, international business strategies, and service innovation. Recent articles emphasize empirical validation of theoretical models, cross-border expansion challenges, and dynamic capabilities in SMEs. He directs the LEMEX research group, focusing on entrepreneurial processes and SME competitiveness. No awards or grants are documented in this text.

Shmuel Avidanمشاهده پروفایل

استاد

• Object Tracking
• 3D Object Modeling
• Computer Vision
• +۳ مورد دیگر

Prof. Shmuel Avidan serves as a Professor in the School of Electrical Engineering at Tel Aviv University's Iby and Aladar Fleischman Faculty of Engineering. Holding a Ph.D. from Hebrew University's School of Computer Science (1999), he brings extensive industry experience from Adobe, Mitsubishi Electric Research Labs, MobilEye, and Microsoft Research to his academic role. His educational trajectory features: Ph.D. in Computer Science, Hebrew University of Jerusalem (1999) Avidan's research centers on pixel-centric computational problems, with seminal contributions in video object tracking and 3D object modeling from 2D images. His work spans computer vision, image processing, and machine learning, emphasizing practical applications in industrial settings. Current investigations explore neural rendering, foundation models, and diffusion-based architectures for visual understanding. Recent publications (2023-2025) demonstrate concentrated innovation in neural radiance fields (NeRF), category-agnostic pose estimation, and texture-aware segmentation. These works increasingly integrate foundation models with domain-specific applications in medical imaging, autonomous systems, and materials science, reflecting a strategic shift toward scalable vision systems. Though specific awards aren't documented in source materials, his prolific publication record and sustained industry partnerships signify substantial field impact. His research group maintains active collaboration with leading technology firms, translating academic discoveries into real-world solutions. Professor Avidan mentors graduate students in computer vision while securing competitive grants for projects at the intersection of theoretical computer vision and industrial implementation. His lab focuses on developing robust algorithms for challenging visual environments, particularly in autonomous driving and medical imaging contexts. Leading an active research group within Tel Aviv University's Electrical Engineering department, he drives innovation in neural rendering and vision-language models. The team regularly contributes to premier conferences including CVPR, ICCV, and ECCV, maintaining strong industry ties through ongoing partnerships with automotive and imaging technology companies.

• Digital Geography
• Cultural Geography
• Health Geography
• +۷ مورد دیگر

Blake Walker serves as Professor for Digital Geography/Cultural Geography at the Institute of Geography, Friedrich-Alexander-Universität Erlangen-Nürnberg since September 2019. His academic journey includes previous positions as Visiting Researcher and Visiting Lecturer at the Geographical Institute, Humboldt University of Berlin, and extensive research and teaching experience at Simon Fraser University in Vancouver, Canada, where he earned his PhD in Geography. Dr. Walker's research spans diverse areas at the intersection of digital and cultural geography, with particular emphasis on health geography, environmental medicine, interpersonal violence, and the digitalization of space-related cultural narratives in media such as video games. His methodological expertise combines critical geoinformatics, remote sensing, and spatial statistics with qualitative approaches to create nuanced understandings of complex spatial phenomena. His scholarly work demonstrates consistent engagement with pressing contemporary issues including neighborhood resilience during public health emergencies, urban green spaces and mental wellbeing, video game geography, and spatial epidemiology of violence. Dr. Walker employs innovative methodologies ranging from mobile app-based data collection (SpaceLog) to exploratory spatial data analysis of volunteered geographic information and virtual environments. Dr. Walker leads or contributes to significant research projects including REKKE (Resilience through Cultural Landscape in Climate Change), VIBRANCE (Violence in Brazil), STAGE (Spatial Transcoding of Artificial Geographical Environments), and PURE SPACE (Prospective Urban and Rural Epidemiology). His teaching portfolio encompasses GIS in Cultural Geography, Digital Geographies, cultural geography seminars on globalization and socioeconomics, quantitative and qualitative methodology including spatial statistics, and field seminars on space and identities.

• Machine Learning
• Collaborative Robotics
• Software-driven Robotics
• +۵ مورد دیگر

Daniel Bermuth is a Researcher at the Chair of Software Engineering within the Institute for Software & Systems Engineering at the University of Augsburg . His work focuses on the intersection of Machine Learning and Collaborative Robotics , with a particular emphasis on Software-driven Robotics and Automation . Education Master in Computer Science (2017-2020), University of Augsburg Bachelor in Computer Science (2014-2017), University of Augsburg Research Interests Development of AI-based safety mechanisms for human-robot collaboration Real-time human pose estimation using RGBD imaging and voxel fusion techniques Efficient spoken language understanding architectures via n-grams, tries, and finite state transducers Privacy-aware voice assistants operating in offline environments Fast speech-to-text models for multilingual applications Publications demonstrate expertise in Robotics , Artificial Intelligence , Computer Vision , and Natural Language Processing . Key subfields include Human-Robot Interaction , 3D Pose Estimation , Speech Recognition , Privacy-preserving AI , Efficient Parsing Algorithms , and Multilingual Language Models . Laboratory Works within the Institute for Software & Systems Engineering under Prof. Dr. Wolfgang Reif Active in developing software solutions for robotics and speech processing

John Friesenمشاهده پروفایل

استاد

• Informal Settlement Analysis
• Urban Remote Sensing
• Population Estimation
• +۵ مورد دیگر

Dr. John Friesen serves as Professor and Chair of Remote Sensing at the Department of Remote Sensing within the Faculty of Philosophy at the University of Würzburg. His work bridges geography, engineering, and public health through advanced spatial analysis techniques. Current affiliations include leadership in the Earth Observation Research Cluster and co-direction of the EO4CAM project since 2024. His educational background spans mechanical engineering (B.Sc. TU Darmstadt 2013, M.Sc. RWTH Aachen 2016) and fluid systems engineering, culminating in a Dr.-Ing. (2021) on urban informal settlement modeling. Notably, he concurrently pursues human medicine studies at Goethe University Frankfurt since 2020, creating a unique interdisciplinary profile. Friesen's research centers on spatial-temporal analysis of informal settlements , with pioneering work on slum population estimation and infrastructure resilience. His methodologies integrate equation-based modeling agent-based simulations remote sensing data fusion cardiovascular process modeling to address urban poverty and health disparities. Recent publications reveal expanding focus toward climate adaptation in Bavarian cities and global healthcare accessibility. Analysis of his 15 most recent publications shows strong thematic continuity in slum dynamics (60% of output) with growing emphasis on climate-resilient urban planning (25%) health-geography intersections (15%) Methodologically, he increasingly combines traditional remote sensing with AI-driven analysis and medical data integration. His academic leadership includes group direction at TU Darmstadt's Institute of Fluid Systems (2021-2024) and ongoing teaching at DHBW Karlsruhe since 2020. Current research is anchored in the EO4CAM project, focusing on urban infrastructure resilience through advanced spatial analytics. Friesen operates within the Earth Observation Research Cluster at Würzburg's Hubland Nord campus, utilizing the department's remote sensing infrastructure for global settlement analysis. His dual-engineering/medical training enables innovative approaches to urban health challenges, particularly in Global South contexts.

• Virtual Reality
• Augmented Reality
• Computer Vision
• +۴ مورد دیگر

Prof. Dr. Didier Stricker is a leading academic in computer science, serving as Scientific Director at the German Research Center for Artificial Intelligence (DFKI) and Professor at the University of Kaiserslautern-Landau (RPTU). His career spans over two decades, including leadership roles at Fraunhofer IGD and founding the Augmented Vision research unit at DFKI/RPTU, which now includes ~30 researchers. Education: Electrical Engineering (Technical University of Grenoble, Karlsruhe) PhD: Computer Vision-based Calibration and Tracking Methods for Augmented Reality (2002, TU Darmstadt) His research focuses on virtual and augmented reality , computer vision , human-computer interaction , and on-body sensor networks . He leads major EU/national projects like LUMINOUS (Language-Augmented XR) and SHARESPACE (Ethical Hybrid Shared Spaces), with industrial partnerships including Sony, Google, and John Deere. Recent publications emphasize 3D reconstruction , neural network optimization , and XR systems . Key trends include event camera processing , scene flow estimation , and multimodal AI for industrial applications . He holds patents in AR tracking and has received the 2006 Innovation Prize from the German Society of Computer Science. Scientific Awards : Innovation Prize (2006) Best Paper/Demonstration Awards at ISMAR, EUSIPCO, CVPR, and ICRA As a reviewer for journals and conferences in VR/AR and computer vision, he contributes to shaping research standards. His lab ( AG Augmented Vision ) combines academic and industrial collaborations to advance cognitive interfaces and extended reality systems.

• Artificial Intelligence
• Building Information Modelling & Processing
• Digital Twinning
• +۳ مورد دیگر

Florian Noichl is a Group Lead in Spatial Computing at the Chair of Computing in Civil and Building Engineering at the Technical University of Munich . His work focuses on methods for creating digital twins of industrial environments, particularly car manufacturing plants, and includes collaborative projects with Siemens . He was a Visiting Researcher at the Department of Geomatics Engineering at the University of Calgary, Canada (May–August 2023). Research interests include Spatial computing Digital twinning Point cloud processing Artificial intelligence in construction Scan planning optimization GeoAI for retrofitting Recent publications emphasize automation in point cloud segmentation, material passport creation for steel structures, semantic facade analysis, and energy efficiency estimation using vision-language models. His work often integrates BIM with laser scanning and AI . Teaching includes Bau- und Umweltinformatik 1 (WS22/23, WS23/24) and Softwarelab . He supervises theses on topics like UAV mission planning Point cloud enrichment Image-based localization CAD model matching BIM design reviews Review activities cover journals such as Automation in Construction , IEEE Sensors Journal , and Remote Sensing . He is listed on OrcID : 0000-0001-6553-9806 Google Scholar ResearchGate Labs associated with include the BIM-Lab and Robotic Fabrication Lab . His work intersects digital construction with industrial AI applications.

• Computer Graphics
• Interactive Environments
• Visualization
• +۴ مورد دیگر

Prof. Dr. André Hinkenjann is the Founding Director of the Institute for Visual Computing and holds a Research Professorship in Computer Graphics and Interactive Systems at Bonn-Rhein-Sieg University of Applied Sciences. His research spans computer graphics, interactive environments, and visualization, with applications in VR/AR, digital twins, and scientific data analysis. He leads multidisciplinary projects funded by institutions like BMBF and Zukunftsfonds NRW. His research integrates: Computer Graphics : Real-time global illumination, foveated rendering, and GPU optimization Interactive Systems : Haptic interfaces, large-display collaboration, and spatial interaction techniques Applied VR/AR : From trauma therapy to industrial training and cultural heritage preservation Recent publications emphasize mixed-reality interaction, neural rendering, and perceptual optimization, reflecting a consistent focus on bridging theoretical graphics with human-centered applications. His lab frequently contributes to high-impact venues like ACM SIGGRAPH, IEEE VR, and Eurographics. Notable projects under his direction include: PInBiM: Gamified citizen science for museum-based insect research DT4MP: Digital twins for urban/industrial multiphysics simulations GTN: State-wide network advancing game technology in NRW Witality: VR for sensory wine analysis

Claus Munkمشاهده پروفایل

استاد

• Financial Economics
• Portfolio Management
• Life-Cycle Planning
• +۴ مورد دیگر

Claus Munk is a Professor at Copenhagen Business School's Department of Finance, where he researches dynamic asset allocation, life-cycle financial planning, and housing economics. His work employs stochastic modeling to analyze consumption-investment decisions under uncertainty. Research interests focus on: Optimal portfolio strategies across life stages Housing market interactions with financial decisions Retirement savings mechanisms and decumulation Stochastic interest rate and income risk modeling Welfare implications of financial regulations Publication analysis reveals consistent focus on life-cycle finance since 1998, with recent emphasis on retirement systems (2019), mortgage structures (2018), and ETF-based portfolios (2024). Methodologically, his work combines theoretical frameworks with empirical validation using household data. Professor Munk maintains research collaborations with Goethe University Frankfurt economists and co-advises projects through Copenhagen Business School. His personal academic website is available at: http://sites.google.com/view/clausmunk/home

• Medical Robotics
• Artificial Intelligence
• Radiosurgery
• +۳ مورد دیگر

Prof. Achim Schweikard is a Full Professor at the University of Lübeck's Institute for Robotics and Cognitive Systems, where he has led pioneering research since 2002. His academic journey spans Stanford University's neurosurgery and computer science departments and Technical University of Munich, establishing him as a leading figure in medical technology translation. His research focuses on Medical Robotics and Artificial Intelligence with transformative clinical applications. Key achievements include inventing correlation-based tracking for cancer radiosurgery (now global standard of care) and developing stereotactic arrhythmia radioablation (STAR) protocols. Current projects address critical challenges in cardiac radioablation through the RAVENTA multicenter trial, MATRIX-VT imaging fusion study, and SonoBox robotic ultrasound system for pediatric diagnostics. His publication record shows sustained high impact with 15+ articles in 2023-2025 in top journals including Radiotherapy and Oncology and Heart Rhythm. These works demonstrate progression from foundational robotics to clinical implementation, with recent focus on cardiac motion estimation, target transfer automation, and S-ICD patient treatment solutions. As Academic Director of UNI Luebeck's Grad School (2025), he oversees doctoral training while leading the Robotics Laboratory (RobLab). The lab maintains active grants supporting: RAVENTA trial: German multicenter feasibility study for ventricular tachycardia radioablation DYNAMIC phantom development for end-to-end treatment validation ECG-gated 4D CT motion modeling for precision targeting Landmark-based ultrasound-CT fusion techniques Students gain comprehensive experience across the medical technology pipeline - from hardware prototyping to clinical trial participation - within an internationally collaborative environment spanning the STOPSTORM.eu consortium and multiple EU research networks.

Gesine Richterمشاهده پروفایل

پژوهشگر

• Medical Ethics
• Research Ethics
• Biobanking
• +۳ مورد دیگر

Gesine Richter is a Researcher at the Institute of Experimental Medicine within the Faculty of Medicine at Kiel University, specializing in the ethical, legal, and social dimensions of medical data and biobanking. Holding a doctorate in medicine (Dr. rer. medic.), an MA in political science, and an MBA in higher education management, she bridges clinical, legal, and administrative perspectives in health research ethics. Her educational background includes: Doctorate in Medicine (Dr. rer. medic.) Master of Arts in Political Science MBA in Higher Education and Science Management Richter's research centers on consent frameworks for secondary medical data use, with emphasis on biobank governance, data donation models, and pediatric/adolescent inclusion. She investigates public and patient attitudes toward data sharing, ethical challenges in public-private health data partnerships, and cross-national regulatory comparisons. Her work directly informs policy through advisory roles for the University Hospital of Schleswig-Holstein's biobanks and Kiel Medical Faculty researchers. Analysis of her 2018-2024 publications reveals consistent focus on consent innovation (broad consent, dynamic models), societal trust in data reuse, and ethical infrastructure for health data ecosystems. Her interdisciplinary approach spans bioethics, health informatics, and public policy, employing mixed-methods surveys to address tensions between research advancement and individual privacy across German and international contexts. As an active member of the Institute of Experimental Medicine's working group, Richter contributes to projects in medical ethics, clinical ethics consultation, and evolutionary medicine. She provides critical research ethics guidance to institutional biobanks and scientists, shaping responsible data practices in Schleswig-Holstein's medical research landscape.

Alberto Gimeno Sandigمشاهده پروفایل

استاد

• Family Business Management
• Entrepreneurship
• Strategic Management
• +۳ مورد دیگر

Alberto Gimeno Sandig serves as Full Professor in the Department of General Management and Strategy at ESADE Business School, Ramon Llull University. He concurrently holds research positions at GRIE (Research Group on Entrepreneurial Initiative) and EEI (ESADE Entrepreneurship Institute), while co-founding Family Business Knowledge (FBK) - an applied research firm specializing in family business management tools and studies. His career uniquely bridges academic rigor and practitioner experience through prior roles as founder of Tecnologías del Medio Ambiente, SL and General Manager of United Port Services and Productos Frit Ravich. His academic credentials include: Doctor of Business Administration and Management from ESADE Bachelor's Degree in Business Administration and Management from ESADE Master's Degree in Business Management from ESADE Professor Gimeno Sandig's research pioneers the application of complexity theory to family business systems, resulting in the globally adopted structural risk model. His work systematically analyzes how family dynamics intersect with business governance, examining 'familiness' as both strategic asset and potential liability. Current investigations focus on ethical leadership ('nobility of spirit'), professionalization frameworks beyond analytical approaches, and transgenerational value creation mechanisms - all contributing to practical management tools through FBK. His publication trajectory shows consistent output in top family business venues like Harvard Deusto Business Review and Edward Elgar handbooks, with recent work emphasizing internationalization through innovation narratives (2020) and institutional work in family firms (2018). The research demonstrates evolving sophistication from foundational structural risk modeling to contemporary explorations of cultural dynamics and ethical frameworks in family enterprises. Through FBK, he develops actionable management protocols for family businesses while advising owning families globally. His industry background informs a practitioner-oriented research approach that translates theoretical complexity into governance structures, succession tools, and professional association frameworks - directly impacting how family businesses navigate generational transitions and institutionalization challenges.

• Software Architecture
• Software Quality
• Software Evolution
• +۵ مورد دیگر

Professor Ralf Heinrich Reussner is a faculty member at Karlsruhe Institute of Technology (KIT), working at the Institute of Program Structures and Data Organization within the Software Design and Quality group. His research focuses on systematic approaches to software construction with predictable quality characteristics. His research interests include software architecture, component-based software systems, performance prediction and capacity planning, quality-centric evolution of long-living software systems, and consistency management in cyber-physical systems development. Professor Reussner has developed methods and tools for architecture- and quality-centric software evolution, with particular emphasis on predictable quality characteristics in component-based systems. His notable scientific recognition includes the prestigious Emmy Noether Junior Research Group award from the German Research Foundation (DFG), which supports outstanding early-career researchers in establishing independent research groups. Principal Investigator for multiple DFG-funded projects including material grants and priority programs Speaker of SFB 1608: Consistency in the View-Based Development of Cyber-Physical Systems Co-speaker of National Research Data Infrastructure for and with Computer Science Former speaker of SPP 1593: Design for Future - Managed Software Evolution Scientific coordinator of SPP 1593 Professor Reussner has led research on cross-domain maintainability assessments, integrated observation and modeling techniques for software adaptation, and formalization of consistency concepts in collaborative research centers. His work bridges theoretical computer science with practical software engineering applications, particularly in the domain of evolving software systems within elastic platform technologies.

Anna Maria Oberländerمشاهده پروفایل

استادیار

• Digital Transformation
• Digital Innovation
• Digital Ecosystems
• +۷ مورد دیگر

Anna Maria Oberländer is Assistant Professor for Business Information Systems and Digital Transformation at the University of Bayreuth, Director of the FIM Research Institute for Information Management, and holds a leading position in Fraunhofer FIT's Business Information Systems division. She co-founded the Digital Innovation Workshop, bridging academic research with industrial practice in digital transformation initiatives across public and private sectors. Her educational background includes a Master of Science with Honors in Finance and Information Management from Technical University of Munich and University of Augsburg (2015), featuring research at Queensland University of Technology, and participation in the Bavarian Elite Academy's 16th class focused on value-based leadership across Germany, Belgium, China, and Vietnam. Prof. Oberländer's research integrates three core perspectives: organizational (digital transformation patterns, ecosystem dynamics via OCO theory, ambidexterity), innovation (resource-centric digital opportunities for incumbents, crisis-driven innovation patterns), and technological (socio-economic impacts of IoT/AI, twin transformation frameworks). Her work uniquely connects established firms' digital journeys with sustainability imperatives and ecosystem orchestration. Recent publications (2024-2025) reveal dominant trends in digital ecosystems, twin transformation, and AI adoption. Key journals include Information Systems Journal and Business & Information Systems Engineering, with practical applications spanning public administration, printing industry sustainability, SME knowledge management, and dairy sector innovation. Her research consistently develops actionable frameworks like the OCO theory and capability maturity models. Her scientific recognition includes: Science Prize 2020 of the University Association Bayreuth eV Prof. Oberländer leads consortium research projects (e.g., AI in printing industry sustainability) and company-specific applied research through FIM and Fraunhofer FIT. While specific student advisees aren't documented, her doctoral supervision role at University of Bayreuth drives next-generation research in digital transformation. She directs the FIM Research Institute's multi-domain initiatives (Digital Business, Manufacturing, Health, Government, Sustainability) and leverages Fraunhofer FIT's prototyping capabilities for real-world implementation, notably the central digital postal system for public administration and semantic search solutions for SMEs.