جست‌وجوی استاد و پژوهشگر

• Biogeochemistry
• Ecosystem Ecology
• Remote Sensing
• +۳ مورد دیگر

Ulisse Gomarasca is a doctoral researcher at the Max Planck Institute for Biogeochemistry's Department Biogeochemical Integration, affiliated with the International Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC). He works within the Global Diagnostic Modelling group and Ecosystem Function from Earth Observation project team, focusing on understanding ecosystem functioning through eddy covariance fluxes and biodiversity links. Education: Master's in Ecology and Biodiversity from University of Innsbruck Research: Spatiotemporal dynamics of ecosystem functioning, Sun-Induced Chlorophyll Fluorescence, drought legacy effects on productivity Methodologies: Remote sensing integration with eddy covariance networks, biodiversity-ecosystem function analysis His publications address terrestrial ecosystem responses to climate extremes, scaling of plant traits to ecosystem level, and development of remote sensing tools like the Biodiversity Observing System Simulation Experiment (BOSSE). This work combines satellite observations with ground-based flux measurements to understand global biogeochemical patterns. Contact: ugomar@bgc-jena.mpg.de

Hannes Taubenböckمشاهده پروفایل

استاد

• Remote Sensing
• Global Urbanization
• Urban Structure Analysis
• +۶ مورد دیگر

Prof. Dr. Hannes Taubenböck holds the Chair of Global Urbanization and Remote Sensing at the Julius-Maximilians University of Würzburg (Faculty of Philosophy, Institute of Geography and Geology) since 2022 and collaborates with the German Aerospace Center (DLR). His research bridges remote sensing with urban geography, focusing on: Global urbanization patterns and structural analysis Informal settlements (slums/refugee camps) Climate change and natural hazard vulnerability Migration dynamics via remote sensing and social media He obtained his PhD (2008) and habilitation (2019) at JMU Würzburg, preceded by geography studies at LMU Munich (1999-2004). His recent publications analyze: Climate impacts on African agriculture Urban permeability and walkability Border region disparities Heat exposure modeling Methodologically, he specializes in: Deep learning for earth observation Multi-modal data fusion Urban pattern classification Building stock analysis His work informs policy applications in: EU cohesion programs Disaster risk reduction Environmental justice Urban sustainability

• Machine Learning
• Data Science
• Social Sciences
• +۷ مورد دیگر

Prof. Dr. Markus Strohmaier holds the Chair of Data Science in Economics and Social Sciences at the University of Mannheim's Business School. His research focuses on applying machine learning and data science to understand socio-economic systems and human behavior, leveraging text, relational, and emerging data types. He teaches graduate courses and supervises theses in these areas. Research interests include algorithmic fairness, behavioral analysis via computational methods, and the societal implications of AI. Notable work addresses demographic representativeness in large language models, bias mitigation in rankings, and gender gaps in blockchain adoption. His team is located at L15, 3rd floor – Room 307 in Mannheim, adjacent to the central station. Collaborations span interdisciplinary topics like social media analysis, network dynamics, and computational social science. Key contributions include developing benchmarks for neural network similarity (Resi) and frameworks for measuring algorithmic fairness perceptions (FairCeptron). Research often bridges technical innovation with societal impact, addressing ethical challenges in AI and data-driven decision-making.

Can Dincerمشاهده پروفایل

استاد

• Bioanalytical Materials
• Sensors and Microsystems
• Data Science
• +۴ مورد دیگر

Prof. Can Dincer is a Professor of Sensors and Wearables for Healthcare at the TUM School of Computation, Information and Technology, Technische Universität München (TUM). His research focuses on bioanalytical materials, wearable sensors, and AI-driven diagnostics for One-Health applications, integrating disposable sensor technology with data science. He holds a doctorate from the University of Freiburg (summa cum laude, 2016) and worked as a visiting scientist at Imperial College London before joining TUM in 2024. He is a member of the Munich Institute of Biomedical Engineering (MIBE). Key research interests include: Development of wearable biosensors for real-time health monitoring CRISPR-based diagnostics for nucleic acids and proteins AI integration for therapeutic drug monitoring in sepsis and other critical conditions Environmental health connections via point-of-need diagnostics Notable achievements include the 2021 Biosensors & Bioelectronics Best Paper Award and inclusion in Stanford's World's Top 2% Scientists since 2022. His work spans clinical applications, microfluidic platforms, and nanotechnology-based solutions for healthcare challenges. Publications highlight innovations like optogenetic bioassays (Science Advances, 2024), CRISPR-powered multiplexed biosensors, and wearable systems for continuous biomarker monitoring. His research bridges material science, electrical engineering, and biomedicine to create practical diagnostic tools. Prof. Dincer collaborates across disciplines, focusing on translating lab innovations into clinical and commercial applications through advanced sensor technologies.

• Computer Science
• Machine Learning
• Health Monitoring Systems
• +۷ مورد دیگر

Muhammad Waqas is a researcher affiliated with COMSATS University Islamabad , where he holds a position in the Department of Meteorology under the School of Applied Sciences and Humanities . His academic collaborations span institutions like Bahria University, National University of Technology, and University of Bahrain, indicating a multidisciplinary approach. Research interests include Mechanisms for integrating fuzzy logic and machine learning in health monitoring Application of deep learning to medical imaging and clinical diagnostics Development of smart sensors for wearable technology in biomechanics Analysis of social media data for public health surveillance and sentiment analysis Investigation of digital citizenship and ICT leadership in educational contexts Trends in his 15 most recent publications (2025-2024) reveal a focus on medical diagnostics (e.g., monkeypox, breast cancer), smart infrastructure (e.g., sensor placement, structural health monitoring), and social media analytics for health and behavioral insights. These works leverage machine learning , fuzzy systems , and multi-objective optimization .

Michael Möhringمشاهده پروفایل

استاد

• Data Science
• Big Data Analytics
• Industry 4.0
• +۴ مورد دیگر

Prof. Dr.-Ing. Michael Möhring is a Professor of Data Science at Reutlingen University's Faculty of Informatics. He serves as Prodekan for the Herman Hollerith Zentrum (HHZ) and leads research in data analytics, Industry 4.0, and process mining. Previously, he held roles as an IT consultant, project manager at Bosch Group/BSH, and academic researcher. Education: Dr.-Ing. (PhD) in Business Informatics M.Sc. in Business Informatics B.Sc. in Business Informatics Research Interests: Focuses on leveraging structured/unstructured data for industrial applications, enterprise architecture management, digital twins integration, and AI-driven decision support. Specializes in bridging technical systems with organizational processes in manufacturing and service industries. Lab Affiliations: AI-Real Lab AIDA Future Mobility Lab Internet of Things Lab Virtual Reality Lab Articles Trends: Recent work emphasizes practical implementations of AI in production failure analysis (language models), energy optimization systems (HollerithEnergyML), and technical debt management in SMEs. Consistently explores data integration challenges across manufacturing, service ecosystems, and digital twin frameworks. Grants & Collaborations: Active in EU-funded projects like 5G-PreCiSe and bwHealthApp. Collaborates with industry partners on digital transformation initiatives through HHZ's applied research programs.

• Experimental Fluid Dynamics
• Data Assimilation
• Network Science
• +۳ مورد دیگر

Prof. Dr.-Ing. David E. Rival is a full Professor at the Institute of Fluid Mechanics within the Faculty of Mechanical Engineering at Technische Universität Braunschweig. His research spans interdisciplinary domains at the intersection of experimental fluid dynamics, data assimilation, network science, and bio-inspiration, with applications in renewable energy systems and bio-mimetic engineering. Former Associate Professor at Queen’s University, Canada Doctoral work on dragonfly flight aerodynamics at TU Darmstadt Alexander von Humboldt research fellowship recipient (2020) Postdoctoral associate at MIT studying shape morphing in nature Research chair at University of Calgary on atmospheric sensing His work focuses on unsteady flow phenomena, bio-inspired design, and advanced measurement techniques. Key projects include: Co-chairing NATO AVT task group on flow separation International collaborations with AFOSR, NATO, and ONR Development of cost-effective flow-tracking sensors for natural environments Investigations into shear-thinning suspension dynamics and vortex ring behavior Recent publications demonstrate a strong emphasis on: Large-scale particle tracking with natural light and UAVs Machine learning for sparse data reconstruction in fluid flows Soft coastal protection methods and ecohydraulics Advanced sensing techniques for atmospheric and industrial applications Scientific Awards: 2020: Alexander von Humboldt Research Fellowship Notable research achievements include textbook authorship on Biological and Bio-Inspired Fluid Dynamics (Springer) and media features in The Nature of Things (David Suzuki) and Discovery Channel’s Daily Planet .

Jörg Rainer Noennigمشاهده پروفایل

استاد

• Digital City Science
• Urban Systems
• Knowledge Architecture
• +۶ مورد دیگر

Prof. Dr.-Ing. Jörg Rainer Noennig is Professor of Digital City Science at HafenCity University Hamburg (HCU) and Head of the WISSENSARCHITEKTUR Laboratory of Knowledge Architecture at TU Dresden. With a background in architecture (Bauhaus Universität Weimar, Waseda University Tokyo), he practiced in Tokyo before transitioning to academia. He has held visiting professorships in Italy, France, Russia, and Japan. His research focuses on digital urban systems , including smart cities, participatory planning, and knowledge architecture. He explores AI applications in urban design, agent-based simulations for mobility, and transdisciplinary frameworks for sustainability. Recent projects include TOSCA (open-source urban tools), SmartFly (eVTOL integration), and MICADO (migrant integration platforms). Publications emphasize data-driven urban methodologies , spanning synthetic data generation, pedestrian modeling, and sustainable infrastructure design. His work integrates materials science (e.g., auxetic structures) with digital twins for resilient cities. Awards include the Grand Prix of the European Association for Architectural Education (EAAE). He leads Hamburg’s Digital City Science team and coordinates international collaborations, including Indo-German urban development projects. He directs the WISSENSARCHITEKTUR Laboratory , focusing on knowledge synthesis for urban innovation. Courses taught at HCU include 'Knowledge Architecture', 'Digital City Science', and 'Smart City Technologies'.

Fabian Gerd Mederمشاهده پروفایل

دانشیار

• Surface phenomena
• Contact electrification
• Soft robotics
• +۳ مورد دیگر

Prof. Fabian Meder is an Associate Professor at the BioRobotics Institute of Scuola Superiore Sant'Anna in Pisa, Italy, leading the Lab for Surface Phenomena and Integrated Systems . He holds a PhD in Materials Science (2013) from the University of Bremen and has held positions at EMPA (Switzerland), University College Dublin (Ireland), and the Max Planck Institute (Germany). His research focuses on surface phenomena and their applications in energy harvesting, soft robotics, and biohybrid systems, particularly leveraging plant surfaces for sustainable technologies. Education: Bachelor's in Bio- and Nanotechnology (2008) – South Westphalia University of Applied Sciences PhD in Materials Science (2013) – University of Bremen Research Interests: Triboelectric charging and energy conversion on biological surfaces Plant-inspired biohybrid systems for autonomous energy generation Epicuticular electrification mechanisms and their ecological implications Soft robotics and sensor technologies integrated with natural systems Grants & Awards: ERC Consolidator Grant (2024) for the EpiC project on epicuticular electrification National Italian Habilitation (ASN) as Associate Professor in Physical Chemistry (2022) Labs & Teams: Leads the Lab for Surface Phenomena and Integrated Systems, collaborating on interdisciplinary projects in biohybrid robotics and energy harvesting.

Daniel Kühbacherمشاهده پروفایل

مربی

• Environmental Monitoring
• Greenhouse Gas Monitoring
• Urban Emissions
• +۳ مورد دیگر

Daniel Kühbacher is a Tutor and researcher at the Chair of Environmental Sensing and Modeling at Technische Universität München (TUM). He specializes in developing high-resolution urban emission inventories for CO2, CH4, and co-emitted species, and leads the setup of a 100-sensor CO2 network in Munich to assess sector-specific emission factors. His work bridges environmental monitoring, sensor technology, and urban climate science. Teaching roles include tutoring the Environmental Sensing and Modeling lecture and advanced seminar, as well as the joint practical course Gemeinschaftspraktikum MST . Research focuses on integrating traffic simulation data, mobile measurement units, and flux footprint modeling to quantify urban greenhouse gas emissions. Education: M.Sc. in Environmental Engineering Affiliations: Member of the ICOS Cities project and contributor to the ICOS Science Network Publications emphasize urban GHG monitoring innovations, including sensor network optimization, flux measurement validation, and inventory intercomparison studies. His work supports policy-relevant insights into emission hotspots and mitigation strategies. Currently develops the SCOUT project for street-level carbon observatories and explores human respiration emissions using mobile network data.

• Metallurgical Process Engineering
• Metal Recycling
• Extractive Metallurgy
• +۷ مورد دیگر

Professor Karl Bernhard Friedrich serves as Universitätsprofessor and Chair of Metallurgical Process Engineering and Metal Recycling at RWTH Aachen University's Faculty of Georesources and Materials Engineering. He leads the Institute for Metallurgical Science and Electrometallurgy (IME), with his office located in Building 1401, Room 108 at Intzestraße 3 in Aachen. His leadership extends to numerous EU-funded research initiatives focused on sustainable metallurgy and circular economy principles. Professor Friedrich's research interests span metallurgical process engineering, metal recycling, extractive metallurgy (pyrometallurgy and hydrometallurgy), battery recycling technologies, lithium recovery processes, and vacuum metallurgy. His work emphasizes resource efficiency and sustainable practices in metal production and recycling, with particular focus on developing environmentally sound processes for electronic waste and battery recycling. The institute under his leadership has pioneered several innovative recycling concepts for lithium-ion batteries and electronic scrap. Analysis of his recent publications reveals a strong focus on battery recycling technologies, particularly lithium recovery from spent batteries through both pyrometallurgical and hydrometallurgical routes. His research group has developed advanced processes for black mass treatment, slag valorization, and metal recovery optimization. The work demonstrates increasing integration of digital technologies and multi-objective modeling in metallurgical process development. Honorary doctorate from Montanuniversität Leoben (2025) recognizing outstanding scientific achievements and commitment to promoting young scientists Long-standing collaboration with Montanuniversität Leoben through the Aachen-Leoben Workshop for non-ferrous metallurgists Professor Friedrich actively supervises numerous doctoral students and has established several collaborative research programs including the DFG priority program 'engineered artificial minerals,' and doctoral programs 'circular electronics' and 'circular e-cars.' His institute maintains strong industry connections, with growing demand for TBRC and VAR trial campaigns. The institute recently commissioned a new large-scale arc furnace and is preparing for leadership transition in early 2027. The IME under Professor Friedrich's leadership operates extensive research facilities focused on vacuum metallurgy, pyrometallurgy, and hydrometallurgy. The institute collaborates with industry partners through the GDMB Zinc & Lead Technical Committee and participates in numerous European research networks. Current research activities focus on developing sustainable processes for battery recycling, electronic waste treatment, and critical metal recovery with emphasis on circular economy principles.

Petra Ahrweilerمشاهده پروفایل

استاد

• Technology and Society
• Innovation Networks
• Policy Modeling
• +۳ مورد دیگر

Prof. Petra Ahrweiler is a full professor of Sociology of Technology and Innovation at the Johannes Gutenberg University Mainz (since 2013), with a focus on social simulation and innovation policy. She previously served as Director of the EA European Academy for Technology Assessment (2013–2017) and held a professorship at University College Dublin. Her research explores technology-society interactions, innovation networks, and AI ethics, emphasizing participatory approaches and policy modeling. She leads initiatives like the TISSS LAB and Sensorithm Digital Transformation Lab, focusing on AI, climate action, and societal impact. A recipient of fellowships from acatech and AcademiaNet, she also served as ESSA President (2020–2022). Education: PhD in Social Sciences from the Free University of Berlin (on AI), Habilitation from the University of Bielefeld (simulation in science studies). Former roles include research at MIT (USA) and leadership at the Innovation Research Unit (IRU), UCD. Research Interests: Her work bridges sociology and computational modeling, addressing topics like participatory AI, innovation dynamics, and policy simulation. Recent foci include culture-sensitive AI, climate action catalysts, and pandemic response modeling. She co-leads major projects such as AI FORA, CECAN, and PEERE, advancing interdisciplinary collaboration. Awards & Leadership: Acatech and AcademiaNet fellowships, ESSA presidency, and leadership in international research consortia. Her work emphasizes ethical AI, societal engagement, and systemic innovation. Labs & Teams: Core leader of TISSS LAB (Technology Innovation & Simulation Science) and the Sensorithm Lab, which develop adaptive sensor systems and participatory AI tools. Collaborates globally on digital transformation and social simulation.

Bettina Valeska Lotschمشاهده پروفایل

استاد

• Nanochemistry
• Solid-State Chemistry
• Materials Science
• +۹ مورد دیگر

Prof. Bettina Valeska Lotsch serves as Director of the Nanochemistry Department at the Max Planck Institute for Solid State Research in Stuttgart and holds honorary professorships at both the University of Stuttgart and Ludwig-Maximilians-Universität München (LMU). She leads a research group focused on the rational synthesis of multifunctional materials with engineered properties, combining solid-state chemistry, molecular chemistry, and nanochemistry approaches. Her research interests span nanochemistry, solid-state chemistry, materials science, energy storage, catalysis, photocatalysis, and the development of two-dimensional materials, porous frameworks, and photonic nanostructures. She investigates structure-property-activity relationships in functional materials with applications in sensing, catalysis, and photo- and electrochemical energy conversion and storage. Her group employs diffraction, spectroscopic, and microscopic techniques to explore these materials. Prof. Lotsch's publication record demonstrates significant contributions to materials chemistry, with over 330 papers, 27,577 citations, and an h-index of 83 (as of February 2025). Her recent work focuses on integrated solar batteries, covalent organic frameworks, metal-organic frameworks, and novel materials for energy applications. The research shows strong emphasis on materials for renewable energy technologies, particularly in the areas of photocatalysis, energy storage, and photoelectrochemical systems. Gottfried Wilhelm Leibniz-Preis (2025) Highly Cited Researcher, Web of Science (2023-2024) Materials Lectureship Award, University of Warwick (2023) ERC Starting Grant (2014) EU-40 Materials Prize, European Materials Research Society (2017) Elected Member of the Heidelberger Akademie der Wissenschaften (2021) Prof. Lotsch leads the SOLBAT initiative funded by the Max Planck Foundation, which focuses on pioneering work in solar batteries and optoionics. She serves on multiple advisory boards including Quantum BW, SFB 1452 CLINT, and the Scientific Advisory Board of ICMol at the University of Valencia. Her department provides extensive research infrastructure including advanced characterization techniques for materials analysis.

Lars Lauterbachمشاهده پروفایل

استاد

• Molecular Genetics
• Biochemistry
• Biocatalysis
• +۶ مورد دیگر

Dr. Lars Lauterbach is a University Professor at RWTH Aachen University , leading the Department of Synthetic Microbiology . His research focuses on molecular genetics, biochemistry, and gas-converting biocatalysts, particularly hydrogen-dependent enzymatic processes. Institution: RWTH Aachen University Role: Institute Head Contact: lars.lauterbach@rwth-aachen.de His work spans hydrogen metabolism , metalloenzymes , and electrobiochemistry , with recent publications emphasizing CO2 conversion, hydrogenase engineering, and enzymatic cofactor regeneration. Key research areas include: Hydrogen-driven biocatalytic cascades Oxygen-tolerant hydrogenases Carbon dioxide valorization Multi-step enzymatic synthesis Hydrogen storage and utilization Redox chemistry in metalloproteins The 2023-2025 article list reflects trends in CO2-based biotechnology , biocatalytic hydrogenation , and synthetic microbial systems , with applications in pharmaceuticals, fine chemicals, and sustainable energy.

Philipp Lensingمشاهده پروفایل

استاد

• Virtual Reality
• Augmented Reality
• Mixed Reality
• +۵ مورد دیگر

Prof. Dr.-Ing. Philipp Lensing serves as a Professor in the Faculty of Engineering and Computer Science at Osnabrück University of Applied Sciences. His academic work focuses on cutting-edge developments in virtual and augmented reality systems, computer graphics, and game programming. His research interests span Virtual Reality , Augmented Reality , Mixed Reality , Game Programming , Computer Graphics , and Natural User Interfaces . Prof. Lensing has pioneered work in real-time global illumination techniques, avatar calibration systems, and the integration of virtual content with real environments. His research has been applied across diverse domains including landscape planning, physics education, medical rehabilitation, and industrial engineering. Prof. Lensing's recent publications reveal a strong trend toward practical applications of VR/AR technologies in scientific, educational, and industrial contexts. His work increasingly focuses on multimodal interaction, haptic feedback systems, and the integration of VR with complex scientific instrumentation like scanning probe microscopy. He has supervised numerous student projects focused on VR/AR applications, game development, and 3D modeling. His teaching includes courses on Computer Graphics, 3D Game Programming, Virtual and Augmented Realities, and 3D Modeling and Animation. Prof. Lensing leads several research projects including GROWTH (funded by BMBF), VRnano (BMBF), VRFlow Suite, VR-Physio-BOX, and MoDal-MR, all exploring innovative applications of immersive technologies in various practical contexts.