جست‌وجوی استاد و پژوهشگر

• Clinical Psychology
• Psychotherapy
• Psychoanalysis
• +۷ مورد دیگر

Prof. Dr. Susanne Döll-Hentschker holds the Professorship for Clinical Psychology and Psychotherapy at Frankfurt University of Applied Sciences (Frankfurt UAS), Department 4: Social Work & Health. She works from Building 2, Room 415a, with contact via susanne.doell-hentschker@fra-uas.de . Her career spans academic research, clinical practice, and teaching in psychoanalysis and psychosocial work. Education: Diplom-Soziologie (Goethe-Universität Frankfurt), Diplom-Psychologie (Frankfurt/Main), Promotion in Psychoanalytic Psychology (Kassel, 2007) Professional Activity: Professor at Frankfurt UAS (2019-present), Director of Psychoanalytic Ambulance (2014-2019), Academic Researcher at Goethe-Universität (2001-2012) Research focuses on emotion theories , trauma , sibling relationships , transgenerational trauma transmission , and psychoanalytic treatment techniques . Her work bridges clinical practice with academic research, particularly in narrative analysis of dreams and trauma experiences. Key article trends examine narrative structures in clinical and non-clinical dream analysis, emotion regulation in psychoanalytic treatment, and transgenerational trauma patterns. These publications frequently employ qualitative case studies and quantitative dream coding systems to explore psychoanalytic processes. Professional memberships include Deutsche Psychoanalytische Vereinigung (DPV) , International Psychoanalytical Association (IPA) , German Psychological Society (DGPs) , and the International Association for the Study of Dreams . She serves on editorial boards, peer-review panels, and rehabilitation research groups. Her teaching portfolio includes psychodynamic therapy modules for Social Work (B.A.) and Psychosocial Counseling & Law (M.A.). She has delivered training on low-frequency psychoanalysis, dream theory, and trauma-informed care. Current research includes dream analysis in clinical samples and acculturation processes in displaced populations.

Bernd Eisingerمشاهده پروفایل

استاد

• Educational Economics
• Financial and Investment Planning
• Controlling Systems
• +۸ مورد دیگر

Prof. Dr. Bernd Eisinger is a faculty member at the Baden-Wuerttemberg Cooperative State University, affiliated with the Faculty of Business Administration and Department of Economics. His roles include Head of Study Programs for Business Administration in Commerce and Digital Commerce Management. Baden-Wuerttemberg Cooperative State University Faculty of Business Administration Department of Economics Dr. Eisinger's research focuses on Educational Economics , Cost Management in SMEs , Controlling Systems , and Management of Non-Profit Organisations . He specializes in Financial and Investment Planning , Indicator-Based Weakness Analysis , and Value-Oriented Management . His work bridges business administration principles with educational policy analysis. His 200+ publications span from 1995–2009, concentrating on educational cost structures, project controlling, and non-profit management. Key themes include school funding equity , cameral accounting applications , and budgeting systems across German states. Steinbeis-Transferzentrum Wirtschafts- und Sozialmanagement (1999–2020) Member of the Senate of VWA-Hochschule

Jukka Matthias Krispمشاهده پروفایل

استاد

• Location Based Services (LBS)
• Geographic Visualization
• Visual Analytics
• +۷ مورد دیگر

Prof. Dr. Jukka Matthias Krisp is a Professor of Applied Geoinformatics at the Institute of Geography, Faculty of Applied Computer Science, University of Augsburg. He leads the Applied Geoinformatics research team focusing on Location Based Services, Geographic Visualization, Spatial Modeling, and GIS applications in ecological network planning. His research interests span multiple domains within geoinformatics: Location Based Services (LBS) including context modeling, navigation systems, and mobile applications Geographic Visualization and Visual Analytics for complex spatial data representation Spatial Modeling techniques for urban environments and transportation systems Geographic Information Systems applications in ecological network planning and environmental monitoring Indoor navigation systems and 3D spatial representation Prof. Krisp's recent publications demonstrate a strong focus on bicycle routing optimization, spatial analysis of social networks, and the integration of AI technologies like ChatGPT for geospatial data generation. His work often combines traditional GIS methodologies with emerging technologies to address urban mobility challenges, traffic congestion analysis, and sustainable transportation planning. He has made significant contributions to the field of Location Based Services, particularly in context-aware computing and spatial data processing. Among his notable scientific contributions: Development of surface roughness-centric approaches to bicycle routing Innovative methods for estimating night populations using mobile network data Integration of big data and cartographic techniques for understanding urban mobility patterns Application of fuzzy inference systems for traffic congestion analysis Narrative approaches to indoor navigation using 360-degree camera documentation Prof. Krisp actively supervises students and collaborates with researchers internationally. His team includes Pablo Löw, Zulfa Nur'aini Afifah, and former members like Lika Zhvania. He teaches courses such as Advanced Spatial Analysis, Geoinformation Systems and Cartography, and Visual Geodata Mining at the University of Augsburg.

Rana X. Adhikariمشاهده پروفایل

استاد

• Gravitational Wave Detection
• Quantum Metrology
• Precision Measurement
• +۶ مورد دیگر

Rana X. Adhikari is a Professor of Physics at the California Institute of Technology (Caltech) in the Division of Physics, Mathematics and Astronomy, and an Associate Faculty member at the International Centre for Theoretical Sciences of the Tata Institute of Fundamental Research (ICTS-TIFR) in Bengaluru, India. His career spans over two decades in experimental physics, with significant contributions to gravitational wave detection and quantum metrology. Professor of Physics at Caltech since 2012 (tenured) Assistant Professor at Caltech (2006-2012) Adjunct Professor at ICTS-TIFR since 2012 Postdoctoral Researcher at Caltech LIGO project (2004-2006) Adhikari's research focuses on experimental physics of gravitational wave detection, quantum metrology, precision measurement, and intelligent control systems. His work aims to surpass fundamental physical limits to discover new phenomena related to gravity, quantum mechanics, and the nature of space and time. He has pioneered noise reduction techniques in laser interferometers, which were critical for LIGO's successful detection of gravitational waves in 2015. His research group at Caltech develops new detector technologies for fundamental physics experiments including gravitational waves, dark matter, and near-field gravity. He also collaborates extensively with the international gravitational-wave community including OzGrav, KAGRA, and GEO600. Analysis of his recent publications shows consistent focus on advancing gravitational wave detection capabilities across multiple fronts - from improving ground-based detectors like KAGRA to developing concepts for space-based systems like TianGO. His work bridges theoretical concepts with practical experimental implementations, particularly in quantum measurement techniques applied to gravitational physics. New Horizons in Physics Prize (2019) Albert Einstein Medal (2017) Princess of Asturias Award (2017) Bruno Rossi Prize (2017) Royal Astronomical Society Group Achievement Award (2017) Gruber Cosmology Prize (2016) Breakthrough Prize in Fundamental Physics (2016) Adhikari actively mentors students through the International LIGO SURF program, which hosts talented undergraduate students from Indian institutions. He has secured significant funding for the LIGO-India project, which aims to build a gravitational-wave observatory in India. His laboratory at Caltech collaborates with the Materials Science Department to advance mechanical oscillators, nonlinear optics, acoustic metamaterials, and high-efficiency photodetection for quantum measurements. He is also involved in interdisciplinary projects combining science and art, including scientific installations and collaborations with artists exploring gravitational wave concepts.

• Construction Robotics
• Building Information Modeling
• Robotic Simulation
• +۳ مورد دیگر

Mohammad Reza Kolani is a Researcher at the Chair of Computing in Civil and Building Engineering, Technical University of Munich, specializing in construction robotics and simulation frameworks for automated construction processes. His research focuses on Construction Robotics , Building Information Modeling (BIM) , and Robotic Simulation , with emphasis on tower crane automation, robot dog applications for site surveying, and collaborative brick wall assembly. His work bridges digital models and physical construction through advanced simulation-driven task planning. Recent publications (2024-2025) demonstrate expertise in BIM-robotics integration, featuring simulation frameworks for multi-robot coordination, autonomous data acquisition, and fabrication planning. Key trends include high-fidelity simulation for real-world construction automation and translating digital models into executable robotic tasks. Kolani actively supervises Master's theses in robotic construction, including: Knauer, A. (2025): Framework for Robotic Fabrication and Automation in Timber Construction using COMPAS FAB Fernández, M. (2024): Robotized Construction using Advanced Robotic Simulation: the case of brick assembly Karim, T. (2024): Development of Autonomous Robot Grasping and Manipulation Solutions He contributes to the Construction Robotics Simulation Framework project within TUM's BIM-Lab and Digital Twinning research group, advancing applications in construction site automation and robotic fabrication.

• Additive Manufacturing in Construction
• Building Information Modeling (BIM)
• Digital Twinning
• +۳ مورد دیگر

Martin Slepicka is a researcher at the Chair of Computing in Civil and Building Engineering at the Technical University of Munich. His work focuses on bridging Building Information Modeling (BIM) with additive manufacturing and digital twinning technologies. Department: Civil and Building Engineering Research Group: Digital Twinning, Construction Robotics Research Highlights: Slepicka specializes in: Integrating BIM with digital fabrication workflows Developing closed-loop systems for additive manufacturing Real-time data exchange in construction robotics Automated parameter calibration using machine learning Semantic enrichment of BIM through multi-sensor platforms Academic Contributions: Recent publications demonstrate expertise in: Extrusion-based additive manufacturing control Non-planar path planning for 3D-printed components Autonomous robot grasping solutions From fabrication models to simulation frameworks Laboratories: Active in: BIM-Lab Robotic Fabrication Lab Mobile Machinery development

• Urban Climate Research
• Thermal Comfort
• Urban Air Quality
• +۶ مورد دیگر

Prof. Dr. Uwe Schlink is a leading Professor at the Institute of Meteorology, University of Leipzig, and Senior Researcher at the Department of Urban & Environmental Sociology, Helmholtz Centre for Environmental Research - UFZ. His work focuses on urban climate research , thermal comfort , urban air quality , and statistical modelling with Bayesian inference. He leads the working group on urban climate and personal exposure, bridging environmental science with societal resilience. Affiliation: University of Leipzig (since 2009) and UFZ (since 2013) Research Themes: Urban heat islands, personal exposure to environmental stressors, statistical climate models, and health impacts of air pollution His research spans environmental health , urban climatology , and resilient city planning , with significant contributions to understanding thermodynamic interactions between urban structures and climate. He has pioneered methods for high-resolution land surface temperature analysis and green infrastructure performance in mitigating heat stress. Recent publications (2023-2025) highlight his work on PM2.5-bound PAH exposure , anthropogenic heat impacts in Beijing, and Asian plateau climate dynamics . Collaborative projects address urban heat stress , green roofs , and health-focused urban planning .

Chao Pengمشاهده پروفایل

پژوهشگر

• Software Testing
• Program Repair
• LLM for Code Generation
• +۳ مورد دیگر

Chao Peng is a Principal Research Scientist at ByteDance where he leads the Software Engineering Lab, focusing on AI agents for software engineering. He holds a part-time position as a Postgraduate Student Mentor at Fudan University's School of Computer Science. His research bridges industry and academia, with significant contributions to software testing, program repair, and LLM applications in software development. Education: PhD in Informatics, 2021, University of Edinburgh, UK MSc in High Performance Computing and Data Science, 2017, University of Edinburgh, UK BEng in Computer Science and Technology, 2016, Xuzhou University of Technology, China Dr. Peng's research interests center on the intersection of artificial intelligence and software engineering. He explores how large language models can transform traditional software development practices, particularly in code generation, testing, and bug fixing. His work on LLM4Code has led to innovative frameworks like CodeVisionary for evaluating code generation capabilities and Trae Agent for software engineering tasks with test-time scaling. He investigates the synergy between machine learning techniques and compiler optimizations to enhance software reliability and developer productivity. His recent publications reveal a strong focus on practical evaluation frameworks for LLMs in real-world software engineering contexts. Rather than theoretical benchmarks, his work emphasizes real-world applicability, as seen in RepoMasterEval which evaluates code completion in actual repository settings. He examines multi-faceted challenges including code generation, bug reproduction, issue resolution, and repository-level question answering, consistently addressing the gap between laboratory evaluations and practical development environments. Scientific Awards: Distinguished Reviewer for FSE'25 Invited to program committees for FSE'26, SANER 2026, ASE 2025, and others School of Informatics Scholarship (fully-funded PhD) Multiple national scholarships during undergraduate studies Honours Spot Bonus at ByteDance Dr. Peng actively mentors postgraduate students at Fudan University while leading research initiatives at ByteDance that foster university collaborations. His laboratory work translates academic research into practical tools for software development, with several frameworks deployed in industrial settings. He serves on multiple conference program committees, contributing to the advancement of software engineering research through rigorous peer review and community building. His Software Engineering Lab at ByteDance operates at the forefront of AI-assisted development, exploring how agent-based systems can automate complex software engineering tasks. The team's work on frameworks like AEGIS for bug reproduction and DialogAgent for code question answering demonstrates their commitment to solving practical challenges faced by developers in real-world settings.

Gotthard Meinelمشاهده پروفایل

پژوهشگر ارشد

• Geoinformatics
• Remote Sensing
• Land Use Monitoring
• +۵ مورد دیگر

Gotthard Meinel is a Senior Fellow at the Leibniz Institute of Ecological Urban and Regional Development (IOER) since 2023, with a distinguished career spanning over three decades in geoinformatics and spatial analysis. Previously, he served as Head of the Research Department for Spatial Information and Modeling (2009-2022) and held various leadership positions within the institute since joining in 1992. Meinel received his education at the Technical University of Dresden, graduating in Information Technology in 1981. He pursued postgraduate studies in biomathematics and earned a specialist mathematician degree between 1981-1992, culminating in his promotion (PhD equivalent) in 1987. His research focuses on geoinformatics, particularly remote sensing image processing and the automated analysis of large geospatial datasets. Meinel specializes in monitoring land-use developments and building stock through advanced spatial analysis methods. His work encompasses the development of indicators and visualization technologies for understanding settlement patterns and open space dynamics. With expertise spanning computer science, mathematics, and spatial analysis, Meinel has made significant contributions to the field of land use monitoring in Germany. Analysis of Meinel's recent publications reveals a strong focus on land use monitoring systems, spatial data infrastructure, and the integration of survey and geospatial data. His research increasingly emphasizes interdisciplinary approaches, combining urban planning, environmental science, and data science to address complex spatial challenges. Key trends include the development of comprehensive monitoring frameworks, analysis of building stock characteristics, and exploration of sustainable land use practices across Germany. Meinel has led or participated in numerous significant research projects including the Social-Spatial Research Data Infrastructure (SORA), the Research Database for Non-Residential Buildings (ENOB:DataNWG), OpenGeoEdu, and the Competence Center for Scalable Data Services and Solutions (ScaDS). These projects demonstrate his leadership in developing innovative spatial data infrastructures and analytical approaches. As project leader and principal investigator, Meinel has supervised numerous research initiatives and likely mentored students and junior researchers, though specific advisees are not documented in the provided materials. His work has significantly influenced spatial planning practices and land use monitoring methodologies in Germany. Meinel's research is closely associated with the IOER Monitor, a comprehensive spatio-temporal research data infrastructure for settlement and open space development in Germany. His team has developed sophisticated methodologies for analyzing land use change, building stock dynamics, and urban structure through the integration of topographic data, remote sensing, and statistical approaches.

Sebastian Ottمشاهده پروفایل

استاد

• Business Information Systems
• Computer Science

Sebastian Ott is a Professor in the Faculty of Computer Science at Hof University of Applied Sciences, specializing in Business Information Systems. Based at Campus Hof, Building B, Room B129, he maintains office hours every Tuesday from 13:00 to 14:00 and can be contacted via phone (+49 9281 409 - 4812) or email. His research focuses on Business Information Systems, bridging computer science and business management to develop information systems that optimize organizational processes and decision-making. This interdisciplinary field integrates software engineering, data management, and business process modeling to address real-world enterprise challenges.

Xiliu Yangمشاهده پروفایل

پژوهشگر

• Human-Robot Collaboration
• Augmented Reality in Construction
• Computational Design
• +۳ مورد دیگر

Xiliu Yang is a Research Associate at the Institute of Computational Design and Construction (ICD) , University of Stuttgart. Bachelor of Arts in Architecture, University of Hong Kong Master of Science (Distinction), ITECH programme, University of Stuttgart Her research explores the intersection of human–robot collaboration (HRC) , augmented reality (AR) systems , and timber prefabrication . She investigates how AR interfaces can enhance multi-user workflows with industrial robots, focusing on safety protocols, task allocation, and user agency in automated environments. Recent publications highlight her work on large-scale multi-human-robot systems , error-handling in AR-assisted construction , and asymmetric AR instruction methods . Her studies often involve industry partnerships and real-world fabrication demonstrators, such as the livMatS biomimetic shell and Spatial Lacing composite systems. Scientific Awards: IntCDC Thesis Grant Research Residency at Autodesk Technology Centre She previously co-founded 3DNA , a startup developing cloud-based platforms for eyewear manufacturing, and contributed to distributed robotic platforms for fibrous material fabrication.

Olaf Landsiedelمشاهده پروفایل

استاد

• Distributed Systems
• Wireless Sensor Networks
• Peer-to-Peer Systems
• +۴ مورد دیگر

Olaf Landsiedel is a Full Professor and head of the Distributed Systems Group at Kiel University, where he leads research in distributed computing, wireless sensor networks, and peer-to-peer systems. He has been a key contributor to the field since joining COMSYS in 2006 and earning his PhD in 2010. His research interests center on enabling accurate, scalable, and energy-efficient network simulations and protocols. He focuses on bridging the gap between simulation and real-world deployment, improving timing accuracy, modeling power consumption, and designing robust communication for unstable wireless environments. His work emphasizes modularity, flexibility, and reliability in distributed systems. The 15 most recent publications reflect a strong trend toward enhancing simulation fidelity, addressing bursty wireless links, enabling dynamic software updates in sensor networks, and developing tools for realistic experimentation. His work spans both theoretical models and practical implementations, often validated through simulation frameworks and testbeds. Olaf Landsiedel has advised numerous students on topics ranging from routing protocols to modular communication frameworks and ontology design, primarily during his time at RWTH Aachen University. While no specific grants are mentioned, his sustained publication record suggests consistent research funding and collaborative projects. He leads the Distributed Systems Group, which conducts cutting-edge research in network simulation, protocol development, and sensor network reliability. The group's work includes tools like KleeNet for bug detection and Horizon for parallel simulation, indicating a strong focus on practical system building and validation.

Arnold Arz von Straussenburgمشاهده پروفایل

پژوهشگر

• Internet of Things (IoT)
• Artificial Intelligence
• Data Integration
• +۳ مورد دیگر

Arnold Arz von Straussenburg is a Researcher at the University of Koblenz, Department of Business Information Systems and Smart Data, since October 2022. He holds an M.Sc. and has experience in academic and corporate roles, including student assistantships at the Universities of Koblenz-Landau and Münster, and working as a tutor and working student in software development and verification training. His research focuses on IoT data platforms, AI integration, sensor technologies, and educational technology. He has contributed to projects like responsible LLM-based grading systems, CO2-based occupancy detection in smart spaces, and hybrid architectures for AI-driven chatbots. His work emphasizes practical applications of technology in education and urban environments. Education includes studies in Business Information Systems, reflected in his roles as a member of the Board of Symposium Oeconomicum Münster eV and his academic publications. His research spans IoT interoperability, AI literacy, and high-availability data architectures. Key research trends in his articles include leveraging IoT for smart city solutions, integrating large language models ethically in education and chatbots, and optimizing sensor-based systems for workplace efficiency. He has developed frameworks for evaluating conversational agents and improving data model flexibility in IoT systems. Arnold has no listed scientific awards but has been actively involved in collaborative projects and academic organizations. His work on automated application deployment and sensor-based smart parking demonstrates his interest in both theoretical and applied computing.

Nodir Djanibekovمشاهده پروفایل

پژوهشگر

• Land reform and agricultural restructuring
• Agricultural and water management institutions
• Sustainability and resilience
• +۴ مورد دیگر

Dr. Nodir Djanibekov is a Researcher at the Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO) , serving as Deputy Head of the Agricultural Policy Department since 2012. He leads the CARe research group on rural community resilience and acts as IAMO's contact for Central Asia international collaboration . Doctorate from University of Bonn's Center for Development Research (ZEF) Specializes in Central Asian agriculture , focusing on: Land and water governance Behavioral economics in farming Institutional analysis of agricultural reforms Climate change adaptation strategies His recent publications focus on water governance challenges (2025), economic integration impacts (2025), and adoption of sustainable practices (2024-2025). Research employs experimental economics and bio-economic modeling across Kazakhstan, Uzbekistan, and Kyrgyzstan. Key projects include: UzFarmBarometer - Understanding sustainable practice adoption AGRIWANET - Climate change and water scarcity CAWAMNET - Water conflicts and migration SUSADICA - Doctoral program on sustainable agriculture

Andreas Anterمشاهده پروفایل

استاد

• Political Education
• German Political System
• Max Weber Studies
• +۵ مورد دیگر

Prof. Dr. Andreas Anter is a distinguished Professor at the Faculty of Economics, Law and Social Sciences of the University of Erfurt , Germany. His academic focus centers on political education , with particular emphasis on the German political system , Max Weber studies , political sociology , and democracy analysis . As a leading authority on Weberian theory, he contributes extensively to understanding state theory , modernity , and secularization processes in contemporary societies. His research output includes critical analyses of democratic institutions , political leadership , and the evolution of nation-states under globalization pressures. Anter's publications frequently examine Weber's conceptual frameworks for political rationality , charismatic authority , and modern governance challenges . His work bridges classical sociological theory with contemporary German political debates , particularly on constitutional development and state-society relations . Anter maintains active engagement with media and public discourse, appearing in Frankfurter Allgemeine Zeitung , Neue Zürcher Zeitung , and television/radio programs like MDR Aktuell and Deutschlandfunk . His scholarship informs discussions on power dynamics , political legitimacy , and crisis of democratic institutions . He can be contacted at andreas.anter@uni-erfurt.de .