Prof. Dr. Nina Gantert is a distinguished Professor of Probability Theory at the Technical University of Munich (TUM) , affiliated with the TUM School of Computation, Information and Technology . She has held faculty positions at Karlsruhe Institute of Technology and the University of Münster prior to joining TUM in 2011. Her research focuses on probability theory , particularly stochastic processes , large deviations , and random media . She investigates random walks in random environments as models for transport in disordered systems and explores applications in physics and biology . Recent publications highlight her work on branching random walks , mixing times , biased random walks , and large deviation principles for complex stochastic systems. She has co-authored studies on random walks in dynamical percolation , interacting edge-reinforced processes , and extremal point processes in branching models. Scientific Awards: Elected fellow of the IMS (2016) Her academic career spans institutions including ETH Zürich, University of Bonn, Technical University of Berlin, and TUM. She has supervised numerous Bachelor’s and Master’s theses on topics ranging from mixing time analysis to percolation theory , often collaborating with international co-authors.
Prof. Senthold Asseng is a Professor of Digital Agriculture at the Technical University of Munich (TUM), leading the Hans Eisenmann Forum for Agricultural Sciences since 2021. His research focuses on climate-plant-soil systems modeling, addressing global food security, sustainable agriculture, and digital technologies like vertical farming and autonomous robotics. He holds a PhD from Humboldt University Berlin and habilitation from TUM, with prior roles at CSIRO Australia and the University of Florida (as Full Professor and Director of the Florida Climate Institute). His honors include AAAS Fellow, Web of Science Highly Cited Researcher, and multiple teaching/mentorship awards. Education: BSc/MSc in Agronomy & Horticulture, Humboldt University Berlin (1989-1990) PhD in Agronomy, Humboldt University Berlin (1994) Habilitation in Agronomy, TUM (2004) Research Interests: Climate change impacts on crops, digital agriculture technologies, systems analysis for autonomous farming, and vertical farming sustainability. His work integrates modeling, robotics, and environmental control to enhance agricultural resilience and productivity. Awards: AAAS Fellow (2019) Highly Cited Researcher (2019) UF Research Foundation Professor (2016-2019) Grants & Leadership: Led interdisciplinary projects like AgMIP-Wheat, SECC, and FAO advisory roles. Active in editorial roles for journals like Global Change Biology and Environmental Research Letters . Labs/Teams: Chair of Digital Agriculture at TUM, collaborating on projects like Smartfield and Proteins4Singapore , focusing on automation, controlled environment agriculture, and climate-smart solutions.
Andreas Rietbrock is Professor and Director of the Geophysical Institute (GPI) at the Karlsruhe Institute of Technology (KIT) , Germany, where he also serves as Dean of Studies for Geophysics . He is a leading expert in earthquake seismology, seismic tomography, and subduction zone dynamics, with a strong focus on integrating advanced observational techniques and computational methods. Education: While specific degrees are not listed in the provided text, his extensive publication record and leadership roles indicate advanced academic training in geophysics and seismology. Research Interests: His work spans a wide range of topics including: Seismic imaging of subduction zones (e.g., Nazca, Lesser Antilles) Earthquake rupture dynamics and fault mechanics Volcanic seismology and magma transport Full waveform inversion and AI-enhanced seismic analysis Distributed Acoustic Sensing (DAS) applications Induced seismicity and reservoir monitoring Research Trends: His recent publications (2022–2025) emphasize the use of dense seismic arrays, AI-based data processing, and multi-method tomography to study complex tectonic environments. Key themes include high-resolution imaging of slab structures, fluid migration in subduction zones, and the integration of DAS and machine learning for seismic monitoring. Scientific Contributions: Andreas has led major international projects such as the ANTICS Large-N deployment in Albania and the VoiLA project in the Lesser Antilles. He has published extensively in top-tier journals like Nature , Geophysical Research Letters , and Journal of Geophysical Research , with over 200 peer-reviewed articles. Teaching and Supervision: He teaches courses such as "Introduction to Geophysics II", "Seismology", and "Current Topics in Seismology and Risk". While specific student names are not listed, his role as Dean and principal investigator on numerous projects indicates active supervision of graduate students and postdocs. Labs and Teams: He leads the seismology group at GPI, coordinating large-scale deployments of seismic instruments, including ocean-bottom seismometers and fiber-optic DAS systems. His team collaborates globally with institutions in Europe, South America, and Asia.
Stephan Conermann serves as Professor of Islamic Studies and Dean of the Faculty of Arts and Humanities at the University of Bonn, where he has held continuous academic appointments since 2003. His institutional leadership includes directorship of the Annemarie Schimmel Kolleg (2010-2022), Bonn Center for Transcultural Narratology, and significant administrative roles culminating in his current deanship since 2023. Academic Background: Doctorate in Oriental Philology/Islamic Studies (Kiel University, 1996, magna cum laude) Magisterstudium in Asian History, Oriental and Slavic Philology (Kiel University, 1992) Conermann's research examines pre-modern Islamic societies through narrative strategies in historiography, with specialized focus on Mamluk Sultanate governance (1250-1517), Delhi Sultanate/Mughal transitions, and Transottomanica mobility dynamics. His work uniquely connects asymmetrical dependencies (particularly slavery systems), power structures, and global entanglements across South Asia, Middle East, and Eastern Europe. His extensive publication portfolio shows consistent thematic evolution toward comparative frameworks analyzing slavery beyond Eurocentric models, narrative construction of power across cultures, and mobility as historical catalyst. Recent scholarship increasingly integrates transcultural methodology with digital humanities approaches. Academic Leadership: Supervised 290+ theses (59 PhD, 96 Magister, 47 Master, 88 Bachelor) Acquired ~9 million euros in third-party funding (DFG, BMBF, DAAD) Editor of 15+ publication series including Mamluk Studies and Dependency and Slavery Studies Conermann directs the Bonn Center for Transcultural Narratology and co-leads the EXC 2036 'Beyond Slavery and Freedom' cluster, fostering interdisciplinary research on pre-modern dependency systems through international collaborations across Europe, Asia, and the Americas.
Benjamin Lange is a Research Professor and Junior Research Group Leader in the Ethics of AI and Machine Learning at Ludwig Maximilians University of Munich (LMU) and the Munich Center for Machine Learning (MCML). He is also an Associate Research Fellow at the Oxford Uehiro Institute for Practical Ethics and a member of LMU's Zentrum für Ethik und Philosophie in der Praxis (ZEPP). His research bridges foundational ethical theory with practical challenges in technology, business, and organizational ethics. Lange holds a BSc from the London School of Economics, and a B.Phil and D.Phil from the University of Oxford. He previously held visiting positions at Google’s Responsible Innovation team and the University of Hamburg. His research focuses on ethical frameworks for AI, digital ethics, and corporate responsibility. Key themes include the ethics of human-AI collaboration, moral partiality in relationships, and organizational ethics. He has advised the European Commission on AI governance and developed assurance audit methodologies for algorithmic systems, including work for NYC’s AI Bias Law. His consulting practice focuses on helping organizations build ethical cultures through capabilities like moral imagination and compliance frameworks. Lange’s work has been featured in media such as CBS News, Business Insider, and ZDF heute journal. He is completing a book on the ethics of interpersonal relationships and partiality, aiming to connect philosophical insights with practical applications. His recent publications explore moral imagination in engineering teams, bias mitigation in AI systems, and the ethical implications of digital duplication technologies. He advises Fortune 500 companies, startups, and public institutions across sectors including finance, technology, and education. His approach emphasizes aligning ethical practices with organizational growth and social impact through tailored ethical frameworks and stakeholder engagement strategies.
Professor Knut Reinert is a leading figure in algorithmic bioinformatics at the Free University of Berlin, where he holds a professorship in the Department of Mathematics and Computer Science. He also maintains a significant affiliation with the Max Planck Institute for Molecular Genetics in Berlin, where he leads the Efficient Algorithms for Omics Data group. His research spans both institutions through the Reinert Lab, which focuses on developing novel computational approaches for biological data analysis. Reinert's educational background includes a Diploma in Computer Science (1994) and a Doctorate (Dr. Ing./Ph.D., 1999, with honors) from the Max-Planck-Institut for Computer Science and Universität des Saarlandes in Saarbrücken. Prior to his professorship, he worked as a computer scientist under Prof. Gene Myers at Celera Genomics in Rockville, USA (1999-2002). His primary research interests center on algorithmic bioinformatics with specific focus on developing novel algorithms and data structures for biomedical mass data analysis. This includes creating mathematical models for genomic sequence analysis and algorithms for mass spectrometry data to detect differential protein expression between normal and diseased samples. His work bridges the gap between computational tool development and practical biological applications, with particular emphasis on NGS and proteomics data. The publications and projects led by Prof. Reinert demonstrate a consistent focus on advancing computational methods in bioinformatics. His research spans genomic sequence analysis, RNA research (particularly long non-coding RNAs), parallel computing applications, and GPU acceleration for biological data processing. The work shows increasing sophistication in handling large-scale biological datasets through innovative algorithmic approaches. Intel® Parallel Computing Center designation for his lab CUDA Research Center status DFG funding of 530 thousand Euros for RNA research de.NBI funding of 2 million Euros BMBF funded projects 'LIVE-DREAM' and 'EssBar' Prof. Reinert leads multiple significant research projects and has established strong collaborations with international partners including Texas A&M, Kings College London, Eberhardt-Karls Universität Tübingen, Robert-Koch-Institute, and various Turkish institutions. His lab receives funding from major organizations including DFG, BMBF, and Intel. The Reinert Lab maintains active teaching responsibilities at FU Berlin, offering courses at BSc, MSc, and PhD levels using both traditional and innovative learning concepts like e-learning and inverted classrooms. The Reinert Lab consists of two interconnected research groups that work closely with experimental biologists and medical researchers to develop practical computational solutions for real-world biological problems. The lab has established itself as a key player in the German and international bioinformatics community through its development of the widely-used SeqAn library and participation in national infrastructure initiatives.
Prof. Dr. Ina Christin Meier serves as Head of Department and Head of Research Unit for Functional Forest Ecology at the University of Hamburg, within the Faculty of Mathematics, Computer Science and Natural Sciences. She is affiliated with the Institute of Wood Sciences (Institut für Holzwissenschaften) in the Department of Biology, where she leads research on forest ecosystem responses to global environmental changes at Ohnhorststrasse 18, 22609 Hamburg. Dr. Meier's research focuses on the impacts of global change factors —including increasing atmospheric CO 2 concentration, summer drought, nitrogen deposition, and intensified management—on the biogeochemistry and biodiversity of temperate, boreal, Mediterranean, and global forest biomes. Her work spans functional ecology of forest trees and grasslands , interactions between roots, mycorrhizal fungi and soil , ecophysiology , and long-term changes in forest ecosystems . She has made significant contributions to understanding root carbon allocation, tropical forest responses to climate change, and the role of mycorrhizal relationships in forest ecosystems. Analysis of Dr. Meier's publication record reveals a strong emphasis on belowground ecology and global change biology , with particular attention to root systems across diverse biomes. Her research bridges plant physiology, ecosystem ecology, and climate science, often synthesizing data from multiple studies to identify broader patterns. She frequently investigates how carbon allocation to root exudates affects soil sequestration and drought response, and has developed important frameworks for understanding root trait responses to multiple global change drivers. Dr. Meier actively collaborates with international research teams across continents. Her work on Nature's Contributions to People has demonstrated that securing essential ecosystem services requires maintaining at least 20-25% semi-natural habitat in human-modified landscapes. She also investigates the chemical complexity of root exudates and their ecological significance, contributing methodological advances to this challenging area of research.
Veronika Eyring serves as Head of the Earth System Model Evaluation and Analysis Department at the German Aerospace Center (DLR) Institute of Atmospheric Physics and Professor of Climate Modelling at the University of Bremen. She holds dual appointments at these leading institutions, directing cutting-edge research at the intersection of climate science and artificial intelligence. Education: 2008: Habilitation in Environmental Physics at the University of Bremen 1999: PhD in Physics from the University of Bremen 1994: Diploma in Physics from the University of Erlangen Professor Eyring's research program focuses on improving climate models and projections through innovative integration of machine learning techniques and spaceborne Earth observations. Her work spans process-oriented modeling, development of observationally-based performance metrics, and understanding systematic biases in climate models. She has pioneered approaches to weighting model projections based on their performance using machine learning, significantly advancing the field of climate model evaluation. Her research has critical applications across multiple sectors including aeronautics, space research, transportation, and energy systems. Analysis of her recent publications reveals a clear trajectory toward deeper integration of machine learning with traditional climate modeling approaches. Her work has increasingly focused on developing community tools like the Earth System Model Evaluation Tool (ESMValTool) and leading major international initiatives such as the USMILE project (Understanding and Modelling the Earth System with Machine Learning). The publications span climate science, machine learning, Earth system modeling, and remote sensing, with specific emphasis on climate model evaluation, parameterization techniques, and improved climate projections. Scientific Awards: AGU Ambassador Award (2024) TUM Distinguished Affiliated Professor (2024) Gottfried Wilhelm Leibniz Prize (2021) ERC Synergy Grant (2019) Thomson Reuters Highly Cited Researcher (2016-2021) Top female researchers award, Helmholtz-Society (2015) Professor Eyring actively supervises a large research group comprising PhD students working on ML-based sea ice parameterizations, causal model evaluation for air-sea interactions, and machine learning-based detection of droughts in climate projections. She leads the prestigious ERC Synergy Grant USMILE and secured significant funding through the DFG Gottfried Wilhelm Leibniz Prize. Her research group at DLR includes multiple postdocs, research scientists, and software engineers working collaboratively on climate informatics projects. Professor Eyring leads the Earth System Model Evaluation and Analysis Department at DLR, which encompasses research groups focused on CMIP model evaluation, ESMValTool development, and machine learning applications in climate science. She founded and supervises the 'Climate Informatics' Group at the DLR Institute for Data Science in Jena. Her department maintains strong international collaborations, particularly with the National Center for Atmospheric Research (NCAR) in Boulder, Colorado, where she serves as an Affiliate Scientist.
Cumrun Vafa is an Iranian-American theoretical physicist and the Hollis Professor of Mathematicks and Natural Philosophy at Harvard University. His research spans string theory, quantum gravity, and the interplay between geometry and quantum field theories. Born in Tehran, Iran (1960) BS in Mathematics and Physics from MIT (1981) PhD in Physics from Princeton University (1985) under Edward Witten His work includes foundational contributions to F-theory, black hole entropy via solitonic states, and geometric engineering of quantum field theories. He has published over 300 articles with collaborators like Robbert Dijkgraaf and Hirosi Ooguri. Recent research focuses on string dualities, mirror symmetry, and applications to unresolved particle physics problems. His articles emphasize connections between Toda theories, matrix models, and supersymmetric gauge systems. Notable awards include: ICTP Dirac Medal (2008) Dannie Heineman Prize for Mathematical Physics (2016) Breakthrough Prize in Fundamental Physics (2017) Mustafa Prize (2021) Election to American Academy of Arts and Sciences (2005) Election to National Academy of Sciences (2009) He has advised prominent students such as Freddy Cachazo and Daniel Jafferis. Vafa is also a trustee of the Network of Iranians for Knowledge and Innovation (NIKI).
Ignacio Ojea Quintana serves as Assistant Professor at Ludwig Maximilian University of Munich's Faculty of Philosophy, Philosophy of Science and Religious Studies within the Chair of Philosophy of Science. He joined LMU in 2022 after a three-year research fellowship at the Australian National University's School of Philosophy. His academic foundation includes a PhD in Philosophy from Columbia University (2019), supervised by Philip Kitcher with focus on formal social epistemology, and prior Masters/BA degrees in Philosophical Logic from the University of Buenos Aires where he collaborated with the Buenos Aires Logic Group. Ojea Quintana's research employs formal methodologies to examine digital technologies' impact on knowledge organization across scientific and public spheres. His work intersects Social Epistemology , Philosophy of Data Science , and Autonomous Systems Ethics , with significant contributions to social media network analysis of controversial movements. Current projects analyze Twitter dynamics in racial justice movements, ethical constraints in AI decision systems, and consensus formation in scientific modeling. His 2021-2022 publications reveal an interdisciplinary trajectory bridging philosophy, computer science, and social sciences. Key trends include computational analysis of online discourse, formal modeling of group rationality under uncertainty, and ethical frameworks for AI systems. Works appear in high-impact venues including Nature Humanities and Social Sciences Communications and the AAAI/ACM Conference on AI, Ethics, and Society. Ojea Quintana maintains active collaborations with the "Humanising Machine Intelligence" initiative (formerly at ANU) and the Buenos Aires Logic Group. His research program demonstrates sustained engagement with technology's societal implications through formal modeling approaches and empirical digital trace analysis.
Jun Liu is a distinguished scientist and academic, serving as a Battelle Fellow at Pacific Northwest National Laboratory (PNNL) and holding the position of Campbell Chair Professor at the University of Washington. His career spans over three decades in materials science and energy storage research, with significant leadership roles including Director of the Battery500 Consortium, a major DOE initiative focused on developing next-generation battery technologies. Dr. Liu earned his Bachelor's degree in Chemical Engineering from Hunan University, followed by a Master's degree in Ceramic Engineering and a Ph.D. in Materials Science and Engineering, both from the University of Washington. His educational background provided the foundation for his extensive career in advanced materials development. Dr. Liu's research focuses on the development, synthesis, and characterization of new materials for energy applications, with particular emphasis on battery technologies. His work spans lithium-ion batteries, lithium-sulfur systems, redox flow batteries, and magnesium-based energy storage solutions. He has pioneered approaches to improve energy density, cycle life, and safety of battery systems through innovative materials design and interface engineering. Analysis of Dr. Liu's recent publications reveals a strong focus on practical battery applications, with particular attention to lithium metal anodes, solid electrolyte interphases, and high-energy battery systems. His research increasingly addresses the challenges of translating laboratory discoveries into commercially viable battery technologies, with growing emphasis on pouch cell development and real-world performance metrics. Distinguished Inventor of Battelle (2007) PNNL's Inventor of the Year (2012, 2016) Electrochemical Society Battery Division Technology Award DOE EERE Exceptional Achievement Award PNNL Lifetime Achievement Award Fellow of the American Association for the Advancement of Science Fellow of the Materials Research Society Member of the Washington State Academy of Science Dr. Liu has secured substantial research funding through his leadership of the Battery500 Consortium and other DOE initiatives. He has mentored numerous researchers and students throughout his career, contributing to the development of the next generation of energy storage scientists. His research group at PNNL collaborates extensively with academic institutions, national laboratories, and industry partners to advance battery technology. Dr. Liu leads the Battery500 Consortium, a major collaborative effort involving multiple national laboratories, universities, and industry partners focused on developing lithium-metal batteries with significantly higher energy density than current technologies. His research group at PNNL maintains state-of-the-art facilities for materials synthesis, characterization, and battery testing, enabling comprehensive investigation of next-generation energy storage systems.
Zeynep Akata is the Liesel Beckmann Distinguished Professor of Computer Science at the Technical University of Munich (TUM) and Director of the Institute for Explainable Machine Learning at Helmholtz Munich. Previously she was a W3 Professor at the University of Tübingen (2019-2023) and held faculty and post-doctoral positions at the University of Amsterdam, UC Berkeley and the Max Planck Institute for Informatics. Her research focuses on multimodal learning and explainable artificial intelligence . Education: PhD, University of Grenoble / INRIA Rhône-Alpes, 2014 MSc, RWTH Aachen University, 2010 BSc, Trakya University, Turkey, 2008 Research Interests: Professor Akata’s group develops algorithms that learn from vision, language and other modalities simultaneously, with a strong emphasis on zero-shot, few-shot and continual learning . A central theme is making decisions interpretable, leading to work on explainable AI, concept bottleneck models, multimodal reasoning and human-aligned representation learning . Recent projects investigate large-scale multimodal language models, dataset distillation, model merging and continual knowledge editing. Publication Trends: Her 2024-2025 publications reveal a shift toward foundational large-scale models (diffusion, LLMs, vision-language transformers) while retaining the core themes of interpretability and generalization under limited supervision . Topics span dataset distillation, model merging, continual learning, fairness auditing of generative models and novel evaluation protocols for zero-shot learning systems. Scientific Awards: Lise-Meitner Award for Excellent Women in Computer Science (2014) Young Scientist Honour, Werner-von-Siemens-Ring Foundation (2019) ERC Starting Grant, European Commission (2019) DAGM German Pattern Recognition Award (2021) ECVA Young Researcher Award (2022) Alfried Krupp Award (2023) Advising & Funding: Prof. Akata currently supervises or co-supervises 25+ PhD students across TUM and the University of Tübingen via ELLIS and IMPRS-IS doctoral programs. She holds major grants including an ERC Starting Grant and DARPA Explainable AI funding, and is a frequent program chair and area chair for premier conferences (CVPR 2024, ECCV 2026, NeurIPS, ICML, etc.). Labs & Teams: She leads the Institute for Explainable Machine Learning at Helmholtz Munich and heads the Multimodal Learning and Explainable AI group at TUM. The institute collaborates closely with the ELLIS Institute Tübingen and Cyber Valley ecosystem, and maintains close ties with the Max Planck Institute for Intelligent Systems and Informatics.
Professor Rainer Böhme is a prominent academic in the field of IT security and privacy at the University of Münster's School of Business and Economics, Department of Information Systems. He also holds a professorship for Security and Privacy at the University of Innsbruck's Institute of Computer Science. His research spans multiple dimensions of digital security, with particular expertise in steganography, digital forensics, privacy-enhancing technologies, and the economic aspects of cybersecurity. Dr. Böhme earned his Doctoral Degree from TU Dresden's Faculty of Computer Science in 2008, following studies in Communications, Economics and Computer Science at Technische Universität Dresden and Université Paris XII. His academic journey includes positions as Assistant Professor at the University of Münster (2010-2015), Postdoctoral Fellow at the International Computer Science Institute in Berkeley (2009-2010), and Scientific Staff at TU Dresden's Chair of Privacy and Data Security. His research interests focus on steganography and steganalysis, digital forensics, privacy-enhancing technologies, security and usability, economic and behavioral aspects of information privacy, virtual currencies, and the economics of information security. His work bridges technical security mechanisms with economic and behavioral considerations, creating a unique interdisciplinary approach to cybersecurity challenges. Analysis of his recent publications reveals a strong trend toward the economics of security, particularly regarding blockchain technologies, cryptocurrency, and privacy valuation. His work increasingly examines the intersection of technical security mechanisms with market dynamics, regulatory frameworks, and user behavior. The research spans theoretical game-theoretic models, empirical studies of user behavior, and practical applications in digital forensics and privacy protection. Program Co-Chair, Financial Cryptography and Data Security (2015) Program Co-Chair, New Security Paradigms Workshop (NSPW) (2015) General Chair, 8th International Conference on IT Security Incident Management & IT Forensics (2014) Organizer and Program Co-Chair, 1st Workshop on Bitcoin Research (2014) Associate Editor, Electronic Commerce Research (since 2013) Associate Editor, EURASIP Journal on Information Security (since 2013) Professor Böhme has supervised multiple Master's theses in Information Systems, including work on static code analysis for smart contracts, remote maintenance protocol security, and application protection requirements in retail banking. His research is supported by significant grants from the German Federal Ministry of Research, Technology and Space, the DFG, and the EU FP7 program, with projects focusing on digital forensics, privacy-enhancing technologies, and cryptocurrency crime prevention. He leads the IT Security Research Group at the University of Münster, which investigates theoretical and applied aspects of information security with particular emphasis on the economic dimensions of security decisions.
Martina Artmann is a Research Professor in Green Infrastructure at the University of Applied Science Weihenstephan-Triesdorf, Germany. She leads the Leibniz Junior Research Group URBNANCE on Urban Human-Nature Resonance at the Leibniz Institute of Ecological Urban and Regional Development (IOER) in Dresden. Her work spans urban ecology, green infrastructure, and sustainability transformation, with a focus on human-nature interactions in cities. PhD in Natural Sciences, University of Salzburg & Bavarian Academy for Nature Protection MSc in Landscape, Regional and Urban Management, University of Salzburg BSc in Agricultural Science, University of Hohenheim Her research centers on urban ecosystem services, green infrastructure, and edible cities as nature-based solutions for urban sustainability. She investigates how urban agriculture, soil sealing, and green space planning contribute to resilient cities. Her work integrates transdisciplinary methods, citizen science, and policy evaluation to foster human-nature resonance and transformative change. Her recent publications reflect a strong trend toward systemic assessments of urban agriculture, sustainability transformation, and the role of relational values in urban ecology. Themes include edible cities, green infrastructure, urban human-nature interactions, and the integration of ecological and social dimensions in urban planning. Student Award, German IALE-D (2012–2014) Doctoral Scholarship, German Federal Foundation for Environment (DBU, 2011) TUD Young Investigator, TU Dresden (2013) Fellowships for study in China (2005) and New Zealand (DAAD) Artmann has led multiple funded research projects, including DFG’s Edible Cities, BMBF’s Future Town Dresden, and BMVI’s meinGrün. She mentors students through project-based teaching at TU Dresden and has served as a visiting professor at the University of Bucharest. She is a Review Editor for Frontiers in Environmental Science and actively contributes to academic networks such as the Society for Urban Ecology (SURE) and the China Centre for Urban Ecology (CCUE). She is involved in research labs and teams including the URBNANCE Junior Research Group at IOER and collaborates with interdisciplinary teams on urban sustainability projects. Her work emphasizes transdisciplinary research, stakeholder engagement, and the co-creation of knowledge for sustainable urban development.
Prof. Dr. Christian Homburg holds the Chair of Business-to-Business Marketing, Sales & Pricing at the University of Mannheim's Faculty of Business Administration. Since 2007, he has been a Professorial Fellow at the University of Melbourne. His research spans marketing strategy, sales management, pricing, and customer relationship management, with a focus on business-to-business contexts. He collaborates with global firms such as Accenture, BOSCH, SAP, and BASF. Research Interests: Prof. Homburg explores topics like sales force automation, key account management, IoT in marketing, and augmented reality in sales. His work bridges academic theory and practical implementation, emphasizing organizational systems driving customer and competitor responsiveness. Scientific Awards: Hermann Billing Prize (1989) Multiple Best Paper Awards from the American Marketing Association (1997-2010) Louis W. Stern Award (2009) Best Paper Awards from Journal of the Academy of Marketing Science and Journal of Business to Business Marketing Publications: Author of 7+ editions of Marketing Management , co-editor of the Handbook of Customer Loyalty Management , and contributor to leading journals like Journal of Marketing and Strategic Management Journal .
