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Benjamin SchulzView profile

Research Fellow

• Educational Research
• Sociology
• Social Policy
• +5 more

Benjamin Schulz is a Research Fellow at the WZB Berlin Social Science Center, specializing in educational panel studies, migration, and social capital. He leads operations for the National Educational Panel Study (NEPS) focusing on vocational training, adult education, and lifelong learning. His work bridges survey methodology with sociological inquiry, particularly examining how digitalization, migration, and social networks shape labor market outcomes and educational trajectories. Education: Magister Artium in Sociology (University of Leipzig, 2007), PhD in Sociology (University of Mannheim, 2019). Research Interests: Digitalization in workplaces, educational equity for migrants, social capital's role in labor markets, and methodological innovations in longitudinal surveys. Key projects include NEPS Stage 8 (Adult Education) and Stage 6 (Vocational Training to Labor Market Transitions). Publications span topics like pandemic-driven digital adoption trends, immigrant integration mechanisms, and comparative analyses of educational policies. His methodological contributions include designing instruments for measuring social capital and workplace digitalization.

Rocío BravoView profile

Professor

• Political Science
• International Relations
• Indigenous Studies
• +6 more

Rocío Bravo is a Professor-Researcher at the University of the Sierra Sur (UNSIS) in Mexico, where she serves as faculty and manages the Institute of Municipal Studies and the Bachelor's program in Public Administration. Concurrently, she is a PhD student at the University of Tübingen's Institute of Political Science in Germany, where she holds a CONACYT-DAAD Doctoral Fellowship under the supervision of Prof. Dr. Andreas Hasenclever. Her academic journey includes a Bachelor's degree in Political Science and International Relations from CIDE in Mexico City, a semester abroad at the Catholic University of Lima, and a Master's degree in Political Science from the Otto Suhr Institute at the Free University of Berlin, where she also worked as a research assistant at the Iberoamerican Institute. University of the Sierra Sur (UNSIS), Mexico - Professor-Researcher University of Tübingen, Germany - PhD Student (since March 2021) CIDE (Center of Economic Research and Teaching), Mexico - Bachelor's degree Free University of Berlin - Master's degree Bravo's research focuses on political participation in indigenous communities governed by internal normative systems, human and sustainable development in indigenous communities, and institutional capacities of municipalities operating under customary law. Her PhD project analyzes religious intolerance stemming from religious divergence within indigenous communities in Oaxaca, Mexico, examining how religious pluralism interacts with traditional communal life and 21st-century modernity. Her scholarly output demonstrates consistent engagement with Oaxacan indigenous communities, political participation, and development issues. Her recent publications show a trajectory moving from electoral politics and civil society to deeper exploration of indigenous governance systems, community practices, and the intersection of traditional knowledge with modern development frameworks. The geographical focus remains predominantly on Oaxaca, with particular attention to the Southern Sierra region. CONACYT-DAAD Doctoral Fellow As an educator, Bravo has supervised numerous academic works and actively contributes to both Mexican and German academic communities. Her dual appointment reflects a transnational academic career that bridges European theoretical frameworks with Mexican indigenous realities. At UNSIS, she plays a significant administrative role managing academic programs while maintaining an active research agenda focused on indigenous governance and development. Her work with the Institute of Municipal Studies at UNSIS demonstrates her commitment to practical applications of political science in municipal governance contexts, particularly those involving indigenous communities operating under customary law systems.

Lothar R. SchadView profile

Professor

• Medical Imaging
• Radiology
• Magnetic Resonance Imaging (MRI)
• +4 more

Prof. Lothar R. Schad is a Professor at the Medical Faculty Mannheim, Heidelberg University , leading the Computer Assisted Clinical Medicine department. His research focuses on advancing magnetic resonance imaging (MRI) techniques for oncological radiotherapy planning and monitoring, including sodium imaging, diffusion tensor imaging, and lung/perfusion imaging. The group operates 3×1.5T and 2×3T MRI systems, with access to a 9.4T animal MRI system. Key research areas include: Quantitative biomarker development for diagnosis and therapy monitoring Integration of multi-modal imaging (CT/MRI/PET) Development of high-resolution protocols for clinical applications Current projects involve translational studies using animal models (rat/mouse) and bioreactor systems. Collaborations exist with radiology, neurology, and cardiology departments. Recent work emphasizes physiological MRI (perfusion, diffusion, oxygenation) in abdominal organs and sodium imaging for tissue viability assessment. Notable contributions include ultra-high-resolution glomeruli imaging in rat kidneys (9.4T), clinical diffusion kurtosis applications, and lung perfusion/ventilation mapping at 1.5T. The team also develops image-guided interventions using robotic systems like ZEEGO.

Salim UllahView profile

Researcher

• Approximate Computing
• FPGA-Based Hardware Accelerators
• Embedded Systems Design
• +3 more

Salim Ullah is a researcher in the Department of Embedded Systems at Ruhr University Bochum. His work focuses on FPGA-based approximate computing, hardware accelerators, and embedded systems design. He leads the Embedded Systems Team, contributing to advancements in reconfigurable logic and neuromorphic computing. Research Interests: Approximate arithmetic circuits, FPGA design methodologies, neural network implementation on FPGAs Key Projects: AxOCS (approximate operator scaling), AxOMaP (mathematical programming for arithmetic operators), AxOSpike (spiking neural networks for operator design) Publications (2024-2020) highlight innovations in error resilience, quantization techniques, and hardware-software co-design. Collaborations include work on RISC-V emulation (NvMISC), energy-efficient multipliers, and embedded AI acceleration frameworks.

Stefan IrnichView profile

Professor

• Logistics Management
• Operations Research
• Vehicle Routing Problems
• +5 more

Prof. Stefan Irnich is a Professor at the Chair of Logistics Management, Johannes Gutenberg University Mainz. His research focuses on logistics optimization, vehicle routing problems, and operations research. He leads projects like the DFG-funded 'BiPISh: Bin Packing with Irregular Shapes' (2025), aiming to develop methods for packing irregular 2D shapes. His work bridges theoretical advancements and practical applications, such as integrating drones into routing systems and optimizing last-mile delivery networks. Notably, his former students Dr. Katrin Heßler and Dr. Timo Hintsch won the 2025 EURO Excellence in Practice Award for their BinPACKER project. Dr. Jeanette Schmidt received the Alfred Teves Foundation Prize for her dissertation on routing problem solutions. Irnich also organizes academic events like the SynchroTrans 2013 workshop on synchronization in transport. He maintains an active role in teaching, overseeing Master’s and Bachelor’s seminars in logistics. His research spans algorithm design (e.g., branch-price-and-cut methods), network optimization, and sustainability in transportation. Recent publications address challenges in scattered storage systems, multi-depot routing, and public transport integration.

Stefan SackmannView profile

Professor

• Business Information Systems
• IT Risk Management
• Compliance Automation
• +7 more

Prof. Dr. Stefan Sackmann is a full Professor and Chairholder of Business Information Management at the Institute of Business Information Systems, Faculty of Law and Economics, Martin Luther University Halle-Wittenberg. He holds a doctorate and habilitation from Albert-Ludwigs-University Freiburg and has been a professor at MLU since 2010. His academic leadership includes organizing major conferences and workshops in IT security, risk, and compliance. His research interests include: Business Information Systems IT Risk Management Compliance Automation in Cloud and Flexible Workflows Business Process Management (BPM) Resilience in Socio-Technical Infrastructures Data Privacy and Ubiquitous Computing Disaster Response and Volunteer Coordination Systems His recent work emphasizes the integration of compliance controls in dynamic environments (e.g., 'Sticky Controls') and the development of mobile platforms like 'Hands2Help' for crisis response. These projects bridge academic research with practical applications in public safety and enterprise IT governance. His publications from 2010–2015 reflect a strong focus on IT risk, compliance automation, and resilience, particularly in business processes and disaster management. The recurring themes include control mechanisms in flexible workflows, privacy in ubiquitous computing, and the economic aspects of compliance. His scientific accolades include: Best Paper Award, ISCRAM 2015 Distinguished Paper Award, Business Information Systems Conference 2013 Adolf Lampe Dissertation Prize, University of Freiburg (2003) Best Paper Awards at HICSS 2001 and Business Information Systems Conference 2001 Scidea Competition Winner (Service Category, 2013) State Graduate Funding (LGFG Scholarship, 2002) Prof. Sackmann has actively advised on IT risk and compliance in industry collaborations (e.g., with VW Financial Services) and has secured recognition for innovative research applications. He has chaired tracks and workshops at major conferences such as MKWI, ARES, and IEEE CPSCom, demonstrating leadership in the academic community. His work on 'Hands2Help' indicates engagement with applied grants or innovation funding, though specific grants are not listed. He has also contributed as editor to special issues in journals like Electronic Markets and Wirtschaftsinformatik . He leads research initiatives focused on resilient information systems, particularly through workshops like RISI (Resilience and IT-Risk in Social Infrastructures) and ReISOC. His team explores how IT can enhance organizational and societal resilience, especially in crisis scenarios. The 'Hands2Help' project exemplifies a lab-like initiative aimed at real-world deployment of volunteer coordination technology.

Dominik KremerView profile

Researcher

• Place-based GIS of health and wellbeing
• Geocommunication and Place-based Content Delivery
• Experiencing place in digital media
• +3 more

Dr. Dominik Kremer is a Researcher and Research Technology Coordinator at the Leibniz Institute for Regional Geography (IfL) since July 2025. His roles include managing institute operations and advancing digital research infrastructure. Previously, he held postdoctoral positions at Friedrich-Alexander-Universität Erlangen and Otto-Friedrich-Universität Bamberg, alongside extensive experience as an IT consultant in geo-content delivery. His research focuses on geocommunication, place-based GIS analysis, and digital tools for education and heritage. Key projects include the GeoExplorer app for fieldwork and public trails, and SpaceLog for tracking green space experiences. He actively contributes to the Visual Regional Geographies initiative and the EEGA Science Campus. Kremer is deeply engaged in digital humanities, co-editing the book Geographical Research in the Digital Humanities and leading initiatives on theory and project management. He chairs committees in the German Society of Geography and the Digital Humanities community, advocating for interdisciplinary collaboration. His work bridges technology and human geography, emphasizing practical applications in education and public engagement. Recent projects explore mobile GIS for wellbeing studies and collaborative research methodologies like Scrum in academic contexts.

Daniel LohmannView profile

Professor

• Operating system construction
• Embedded systems
• System software for dependable real-time systems
• +6 more

Daniel Lohmann is a Full Professor and Fachgebietsleiter (Head of Department) at the Department of Operating Systems and Middleware within the College of Engineering and Computer Science at Leibniz Universität Hannover . His research focuses on operating system construction , embedded systems , and dependable real-time systems , with a strong emphasis on generative approaches , software product lines , and hardware-RTOS co-design .

Christian GrimmeView profile

Associate Professor

• Multiobjective Evolutionary Computation
• Social Media Analysis
• Disinformation Detection
• +4 more

Prof. Dr.-Ing. Christian Grimme is an Associate Professor and Extraordinary Professor in the Department of Information Systems at the University of Münster. He leads the Computational Social Science and Systems Analysis research group. His roles include acting professorships, research group leadership, and academic co-direction of the ERCIS Competence Center for Social Media Analytics. He holds a Dr.-Ing. in Computer Science and has extensive postdoctoral and habilitation experience. Education Timeline: 2015–2018: Habilitation and venia legendi in Information Systems 2006–2012: PhD in Computer Science (Dr.-Ing.) 1999–2006: Diploma in Computer Science Research Interests focus on Multiobjective Evolutionary Computation, Social Media Analysis, Disinformation Detection, and AI Ethics. His work bridges algorithmic innovation (e.g., optimization algorithms) with societal challenges (e.g., automated propaganda detection). Recent projects include analyzing Large Language Models' role in disinformation mitigation and real-time social media content analysis using human attention mechanisms. Awards include the Best Teaching Award (2024), PPSN XIV Best Paper Award (2016), and multiple travel grants from ACM and DAAD. He actively participates in conferences like GECCO and EMO, contributing to both theoretical and applied research. Advising and grants highlight his role in guiding over 20 theses, spanning Master's and Bachelor's projects in IS/WI. Notable grants include DAAD-funded collaborations and internal university funding for projects like MODERAT! (moderation tools) and ERCIS SMA Competence Center. Labs/Teams: Leads the Computational Social Science & Systems Analysis group, collaborating with global partners via ERCIS. Engages in initiatives like CLAIRE and the Integrity & Security Initiative to address AI ethics and information security challenges.

Martin MatznerView profile

Professor

• Business Process Management
• Business Process Analytics
• Service Research
• +3 more

Prof. Martin Matzner is a Full Professor at Friedrich-Alexander University Erlangen-Nuremberg, leading the Department of Digital Industrial Service Systems. Previously, he held positions as Research Assistant and Academic Rat at the University of Münster. His expertise spans Business Process Management, Service Systems, and Cyber-Physical Systems, with notable contributions to peer-to-peer charging infrastructure and collaborative consumption platforms. He completed a Habilitation (2016) and PhD (2012) in political science and business informatics. Education: Habilitation in Business Informatics (2016), PhD in Political Science (2012), Diplom in Business Informatics (2007) from University of Münster, with studies at Turku School of Economics (2005). Research focuses on digital service innovation, including projects like CrowdStrom (P2P electric vehicle charging) and smartmarket² (location-based retail solutions). Awards include the Best Prototype Award (2017) and Emerald Citations of Excellence (2015). Advised students include Christian Rest (2015 Master’s thesis on sharing platforms). Key projects include FOKUS:SE (service engineering network), RISE_BPM (EU-funded BPM innovation), and federal initiatives in e-Government (FIM project). Active in international collaborations with Brazil and Russia.

• Gravitational Wave Astronomy
• Precision Interferometry
• Instrumental Noise Modeling
• +3 more

Dr. Olaf Hartwig is a Senior Scientist at the Albert Einstein Institute (AEI) in both Potsdam and Hannover. His research focuses on precision interferometry and fundamental interactions, specifically for the Laser Interferometer Space Antenna (LISA) project. He holds a PhD in Physics from the University of Hannover (2021) and has held postdoctoral positions at SYRTE - Observatoire de Paris and AEI. His work bridges instrumental modeling, data processing, and noise reduction for space-based gravitational wave detection. Education: BSc and MSc in Physics (University of Hannover), PhD in Physics (University of Hannover via AEI Potsdam) Current Roles: Split post-doctoral position between AEI Potsdam (global fit for LISA) and AEI Hannover (Performance and Operations team) Research Interests revolve around space-based gravitational wave detectors, with emphasis on: Instrumental Modeling - Refining noise models, addressing data gaps, and mitigating glitches in LISA data Data Processing - Developing simulations, performance models, and software tools like PyTDI Detector Optimization - Clock synchronization, light-travel time estimation, and onboard optical delay compensation Publication Trends (15 most recent) show a focus on LISA instrumentation, with key topics including time-delay interferometry (TDI), stochastic gravitational wave background reconstruction, instrumental noise characterization, and intersatellite ranging. His work frequently integrates GPU acceleration, Python-based toolchains, and end-to-end simulation pipelines.

Michael MuehlebachView profile

Researcher

• Machine Learning
• Dynamical Systems
• Control Theory
• +3 more

Michael Muehlebach is a Research Group Leader at the Max Planck Institute for Intelligent Systems in Tuebingen, Germany, leading the Learning and Dynamical Systems group. He holds a B.Sc. and M.Sc. in Mechanical Engineering from ETH Zurich (2010, 2013) and a Ph.D. from the Institute for Dynamic Systems and Control (2018), advised by Prof. R. D'Andrea. He later pursued postdoctoral research under Prof. Michael I. Jordan at UC Berkeley. Research Interests: Machine Learning, Dynamical Systems, Control Theory, Optimization, Physics-Informed Learning for Cyber-Physical Systems. Scientific Awards: Outstanding D-MAVT Bachelor Award, Willi-Studer Prize, ETH Medal, HILTI Prize, Branco Weiss Fellowship (2018), Emmy Noether Fellowship (2020), Amazon Fellowship (2024). Students: Supervised Julien Kohler (Master's thesis on Quadrotor Control). Projects: Developed Floaty (wind-energy robot), Flying Platform (ducted fan actuation testbed), One-Wheel Cubli (3D inverted pendulum), and electromagnetic navigation systems.

• Machine Learning
• Computer Vision
• Signal Processing
• +3 more

Chenguang Liu is a researcher at Institut Polytechnique de Paris , France, with a focus on computational methods, machine learning, and control systems. His work bridges theoretical and applied research across multiple domains including computer vision, signal processing, and operations research. Key research areas: Machine Learning, Computer Vision, Computational Physics, Control Theory Notable publication trends: Develops novel algorithms for parallel computing, peridynamic modeling, and real-time systems Recent contributions include Bayesian neural networks for gas-bearing prediction, multi-agent reinforcement learning for UAV swarms, and domain adaptation techniques in object detection. He collaborates extensively with researchers in electrical engineering and applied mathematics disciplines.

• Applied Computer Science
• Space Geodesy
• VLBI (Very Long Baseline Interferometry)
• +7 more

Dr. Alexander Neidhardt is a research scientist and software engineer at the Geodetic Observatory Wettzell, part of the Forschungseinrichtung Satellitengeodäsie (FESG) at the Technical University of Munich (TUM). He leads the group for microwave techniques (VLBI – GNSS – DORIS) and serves as the network manager for TUM networks at the observatory. He is also a member of the ESA GENESIS Science Exploitation Team and the IVS Network Coordinator. His work is central to the development and automation of control systems for geodetic instruments, particularly within the VGOS framework. Neidhardt's research focuses on applied computer science for space geodesy, especially the development of remotely controllable and autonomous systems for geodetic observatories. He has pioneered advancements in the automation of VLBI and SLR systems, contributing significantly to projects like e-RemoteCtrl and the integration of seamless auxiliary data. His expertise bridges software engineering and high-precision geodetic measurement technologies. His recent publications reflect a strong trend in the automation, monitoring, and technical enhancement of geodetic infrastructure, particularly radio telescopes. Topics include system monitoring for seamless auxiliary data, automation of SLR systems, and the technical status of the TWIN radio telescopes. His work is instrumental in advancing next-generation VLBI networks (VGOS) and improving the accuracy and reliability of geodetic observations. Dr. Neidhardt is actively involved in international collaborations, including IVS, ESA, and DFG projects. He has contributed to major scientific efforts such as the PRIDE technique for Mars Express, tracking of lunar and planetary spacecraft, and the development of Ka-band VLBI networks. He also participates in educational initiatives, delivering lectures for the ESPACE and Transportation Systems master’s programs. He has held various leadership and coordination roles, including chair of the IVS Task Force on Seamless Auxiliary Data Archives, safety representative at Wettzell, and technical expert for safety equipment. His career has been marked by continuous innovation in the software and operational frameworks that support modern geodetic observatories.

• Artificial Intelligence
• Multimedia Systems
• Robotic Interaction
• +5 more

Wang Yufei is affiliated with Xiamen University, China, holding positions across the School of Informatics, Institute of Artificial Intelligence, Center for Digital Media Computing, and School of Film. The research spans interdisciplinary domains, integrating artificial intelligence, robotics, and multimedia systems for real-world applications. Wang Yufei's research primarily focuses on artificial intelligence , computer vision , robotic interaction , and multimedia systems . Key areas include 3D scene modeling using Gaussian splatting, diffusion models for storytelling and image generation, reinforcement learning for interactive instruction, and AI applications in healthcare, agriculture, and urban planning. The work emphasizes robustness, real-time feedback, and human-centered design. The recent publications demonstrate a strong trend in deep learning applied to vision and multimodal systems , with increasing focus on interactive AI , embodied environments , and domain adaptation . Topics such as differentiable trajectory optimization, backdoor attacks in compression models, and context-aware assistance systems reflect both technical depth and societal relevance. Wang Yufei has not been mentioned in relation to any scientific awards in the provided text. No information is available regarding student advising or research grants. However, the breadth and volume of publications suggest active research leadership and likely involvement in funded projects. Research is conducted in collaboration with teams at Xiamen University, particularly within the Institute of Artificial Intelligence and the Center for Digital Media Computing, focusing on intelligent multimedia and robotic systems. The integration of AI with cultural and educational applications, such as piano instruction and heritage preservation, highlights a unique interdisciplinary lab environment.