جست‌وجوی استاد و پژوهشگر

Alexander Hubertمشاهده پروفایل

پژوهشگر

• Classical Philology
• Renaissance Studies
• Epistolary Literature
• +۵ مورد دیگر

Dr. Alexander Hubert is a Research Assistant at the Chair of Classical Philology II (Latin Studies) at Julius-Maximilians-University Würzburg. His work focuses on Neo-Latin and Neo-Greek texts, Renaissance Humanist networks, and the epistolary works of Joachim Camerarius the Elder (1500–1574). Studied Latin, Mathematics, and Greek at Julius-Maximilians-University Würzburg. Current projects include the Camerarius digital initiative (2021–2024) and contributions to the Würzburger Jahrbücher für die Altertumswissenschaft . His research spans interdisciplinary domains, combining Classical Philology with Digital Humanities and historical correspondence analysis. He is also involved in citizen science projects like Planet Hunters TESS and has interests in linguistics and speculative literature from antiquity to modern times. Key trends in his publications include interdisciplinary approaches to spatial planning in Alpine regions, economic analyses of tourism in protected areas, and transnational conservation strategies. He has contributed to policy handbooks and strategic recommendations for the OpenSpaceAlps project, focusing on open space preservation and climate-resilient planning. Dr. Hubert is active in academic outreach, delivering lectures on Camerarius and participating in digital humanities initiatives. He is affiliated with the Institute of Classical Philology and contributes to the OpenSpaceAlps and other environmental policy projects.

• Reinforcement Learning
• Computational Decision-Making
• Machine Learning
• +۳ مورد دیگر

Carlo D'Eramo is a Professor in Reinforcement Learning and Computational Decision-Making at the Center for Artificial Intelligence and Data Science (CAIDAS) of Julius-Maximilians-Universität Würzburg (JMU). He leads the LiteRL research group and the hessian.AI independent research group, focusing on lightweight methods for adaptive autonomous agents in complex real-world environments. B.Sc., M.Sc. in Computer Engineering - Politecnico di Milano (2011, 2015) Double M.Sc. in Computer Science - University of Illinois at Chicago (2015) Ph.D. in Information Technology - Politecnico di Milano (2019) His research spans multiple RL domains including multi-task learning , curriculum learning , adversarial RL , options learning , and multi-agent coordination . Recent work explores physics-informed ML, neural network distillation, and uncertainty-driven exploration. 2025 publications highlight advancements in: Bellman update optimization via adaptive distillation uncertainty propagation in tree search multi-agent policy gradients real-world educational applications The group's work shows increasing specialization in physics-integrated RL and efficient neural architectures. Spotlight Presentation - ICML (2025) Spotlight Presentation - ICLR (2024) Oral Presentation - NeurIPS (2020) As Senior Area Chair for RLC and Area Chair for major AI conferences (AAAI, NeurIPS, ICLR), he contributes to academic governance. His team includes researchers like Ahmed Hendawy, Théo Vincent, and Georgia Chalvatzaki, with collaborations spanning TU Darmstadt and hessian.AI.

Dominic Henzeمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Smart Environments
• Machine Learning Applications
• +۱ مورد دیگر

Dominic Henze is a Professor at the Technical University of Munich (TUM), affiliated with the Faculty of Informatics and the Chair of Software Engineering . He leads research initiatives in Cyber-Physical Systems , Smart Environments , and Machine Learning Applications , with a particular focus on Fog Computing architectures. His research spans theoretical frameworks and real-world implementations, including collaborations with institutions like Carnegie Mellon University and industry partners such as Siemens AG and Zeiss IMT . His work addresses challenges in resource allocation , predictive maintenance , and blockchain integration within industrial contexts. Dr. Henze's publications reveal a consistent focus on Fog Computing architectures, IoT resource management, and educational software engineering. Key trends include self-organizing network systems , decentralized supply chain traceability , and smart environment coordination . He has advised numerous students on topics ranging from QoS negotiation to autonomous drone coordination . As an educator, he has taught multiple iPraktikum courses and seminars on iOS development and Agile Project Management since 2014, with publications exploring team composition strategies and distributed programming pedagogy.

• Agricultural Economics
• Agent-Based Modeling
• Climate Change Adaptation
• +۴ مورد دیگر

Dr. Christian Troost is a Senior Researcher and Lecturer at the Department of Land Use Economics at the University of Hohenheim . His work combines agent-based modeling and bioeconomic simulation to analyze agricultural adaptation to climate variability and resource use decisions across diverse farming systems in Germany, Chile, and Ethiopia . Education : BSc in Geography (Bochum, 2006), MSc in Agricultural Economics (Hohenheim/Wageningen, 2009), PhD in Agricultural Sciences (Hohenheim, 2014) Methodology : Specializes in uncertainty analysis , high-performance computing , and model validation protocols for complex agricultural systems Troost's research advances the MPMAS software package for integrated land system modeling. His 2025-2024 work focuses on pesticide reduction policies , hybrid intelligence systems for biodiversity-productivity tradeoffs, and agroforestry as climate adaptation in Ethiopia. Scientific Recognition : Gerhard-Fürst Prize (2015) Südwestbankpreis (2015) As an educator, he teaches farm system modeling and environmental economics at PhD, MSc, and BSc levels. His collaborative projects span DFG-funded climate change research , BMBF biodiversity initiatives , and German-Ethiopian CLIFOOD graduate programs .

• Embedded Systems
• Hardware/Software Co-design
• Energy-efficient AI Accelerators
• +۷ مورد دیگر

Oliver Bringmann is a full Professor and head of the Chair of Embedded Systems at the University of Tübingen, Germany, and a member of the board of directors at the FZI Research Center for Information Technology. His research integrates embedded-system design, energy-efficient AI accelerators, dependable automotive perception, and medical AI for capsule endoscopy. Education & Career Ph.D. in Computer Science, University of Tübingen, 2001 Diploma in Computer Science, University of Karlsruhe (KIT) Head, Chair of Embedded Systems, University of Tübingen (since 2012) Deputy spokesperson & spokesperson, Dept. of Computer Science, University of Tübingen (2014-2022) Board of Directors, FZI Research Center for Information Technology Research Interests Bringmann’s group pioneers hardware/software co-design for ultra-low-power Edge-AI , developing RISC-V based accelerators, compiler-aware neural-architecture search, and real-time perception systems for autonomous driving and medical devices. Key topics include: Energy-efficient AI architectures (“Edge AI”) and custom accelerator generation Robust collective perception under adverse weather (LiDAR, camera, V2X fusion) Timing/power-predictable embedded software and system-on-chip design automation Hardware-assisted security and safety for automotive & IoT systems AI-driven capsule endoscopy localization and anomaly detection Recent Publication Trends His 2024-2025 articles reveal a strong shift toward robust multimodal perception for automated driving (snow, fog, collective LiDAR fusion) and Edge-AI medical devices (capsule endoscopy with multi-task CNNs). Core contributions span dataset generation (SCOPE, SnowyLane), safety metrics (LSM), and fast performance modeling for DNN accelerators. Professional Service & Projects Executive/Steering Committees: IEEE/ACM DATE, CODES+ISSS, CASES, ITSS conferences EU CATRENE EDA roadmap chapter lead (Embedded Software & ESL-to-RTL) Principal investigator in Scale4Edge, OCEAN12, enerDAG and other national projects on energy-efficient sensorics and secure energy trading. His group maintains extensive collaborations with automotive and semiconductor industry, focusing on dependable, energy-aware embedded intelligence.

• Internet Law
• Data Protection Law
• Information Technology Law
• +۳ مورد دیگر

Sebastian Brüggemann is a German legal scholar specialising in Internet, data-protection and IT law. Since 2013 he has been a part-time lecturer (Lehrbeauftragter) at the Faculty of Law of Eberhard Karls University of Tübingen, and he holds parallel teaching appointments in data-protection and IT law at the Universities of Applied Sciences in Kehl and Ludwigsburg as well as at ZHAW School of Management and Law in Winterthur, Switzerland. In private practice he works as in-house counsel (Syndikusrechtsanwalt) for a large international IT company, focusing on data-protection and technology law. Education: 2003-2011: Studies of Law and General Rhetoric, Eberhard Karls University of Tübingen 2009: First State Law Examination, Tübingen 2011: Magister Artium in General Rhetoric, Tübingen 2010-2012: Legal clerkship (Referendariat), including stages at the German University of Administrative Sciences Speyer and eco – Verband der Internetwirtschaft 2012: Doctorate in Law (Dr. iur.), Tübingen – dissertation on third-party disclosure claims against Internet providers in copyright enforcement 2013: Admission as attorney (Rechtsanwalt) 2013-2015: Part-time LL.M. in Information Technology Law, Carl von Ossietzky University of Oldenburg Research interests span the intersection of law and digital technology: data-protection compliance under the GDPR, cybersecurity regulation, copyright in digital media, network neutrality, M2M/IoT legal issues, and the legal framework of behavioural advertising. His work frequently analyses German, European and comparative US developments. He has authored a monograph, numerous commentaries to GDPR/BDSG provisions, model IT contracts, and more than two dozen peer-reviewed articles and case notes since 2013, identifying recurring themes such as data portability, ISP liability, streaming and copyright, and the challenges of Industrie 4.0. Professional memberships & science communication: editorial board of Privacy in Germany , core team member of the Telemedicus IT-law portal, member of IAPP, DGRI and GRUR, and co-author of sector guidelines issued by Bitkom and eco association. There is no indication of supervised doctoral or master’s students in the supplied material; his teaching activities concentrate on specialised continuing-education courses and part-time lectures.

Joseph Colganمشاهده پروفایل

استادیار

• Genomics
• Evolutionary Biology
• Ecological Genomics
• +۵ مورد دیگر

Dr. Joseph Colgan is an Assistant Professor and Group Leader at the Institute of Organismic and Molecular Evolution at Johannes Gutenberg-Universität Mainz, Germany. His research group focuses on ecological and evolutionary genomics of social insects, particularly bumblebees and mason bees, using integrative approaches combining behavioral, molecular, genomic, immunological, and computational techniques. Dr. Colgan's educational background includes: PhD in Zoology from University of Dublin, Trinity College (2008-2014) MSc in Immunology and Global Health from Maynooth University (2007-2008) BSc in Zoology from University College Dublin (2003-2007) Postgraduate Certificate in Teaching & Learning in Higher Education from University College Cork (2018-2019) His research program centers on three interconnected themes. His work on phenotypic plasticity examines how single genotypes produce multiple phenotypes in social insects, particularly focusing on the genomic architecture underlying caste differentiation. In ecological and evolutionary genomics, he investigates how pollinators respond to environmental challenges including habitat loss, pesticide exposure, and climate change, with recent work applying population genomics to assess genetic diversity in wild bee populations. His immunogenomics research explores host-parasite interactions, examining molecular mechanisms of immune responses to pathogens and environmental stressors, with particular focus on how mating, diapause, and nematode infections alter immune gene expression in bumblebees. Analysis of Dr. Colgan's publication record reveals a consistent focus on insect genomics with increasing specialization in social insect systems. His early work included salmonid genomics, but his research has increasingly concentrated on bumblebees and other pollinators, with a growing emphasis on pesticide impacts, immune system evolution, and evolutionary adaptations. His recent publications demonstrate sophisticated integration of genomic, transcriptomic, and proteomic approaches to address fundamental questions in evolutionary biology and pressing concerns in pollinator conservation. Dr. Colgan supervises a diverse research team including six PhD students (Jannik Möllmann, Max Bolder, Hongfei Xu, Safira Moog, Dean Hodapp, and Eva Baumgarten), four Master's students, and multiple Bachelor's students. His group actively pursues projects in population and comparative genomics of wild bees, evolution of dormant phenotypes, signatures of sexual antagonism, queen specialization in social insects, insect immune system evolution, and genomic approaches to bee conservation. The research group maintains strong international collaborations, particularly with institutions in Ireland and the UK where Dr. Colgan previously conducted postdoctoral research.

• 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 .

Adamantios Arampatzisمشاهده پروفایل

استاد

• Biomechanics
• Movement Science
• Neuromuscular Control
• +۳ مورد دیگر

Adamantios Arampatzis is a Professor of Movement Science and Head of the Department of Training and Movement Sciences at Humboldt University of Berlin. He also serves as Spokesperson for the Berlin School of Movement Science (BSMS). A graduate of the German Sport University Cologne with a doctorate in 1995 and habilitation in biomechanics in 2002, his work focuses on neuromuscular adaptation, locomotion mechanics, and muscle-tendon interactions under healthy and pathological conditions. His research group investigates mechanical stimuli for improving musculoskeletal properties, neuromuscular control during locomotion, and neural pathway organization. Key methodologies include analytical, experimental, and computational approaches to understand stability and adaptability in movement systems.

Georg Grothمشاهده پروفایل

استاد

• Plant Physiology
• Photosynthesis Research
• Enzyme Inhibition
• +۵ مورد دیگر

Georg Groth serves as Professor at the Institute of Biochemical Plant Physiology, Heinrich Heine University Düsseldorf. His research integrates structural biology, biochemistry, and plant physiology to address global food security challenges through innovative approaches to weed management. His primary research focuses on developing targeted inhibitors against key enzymes in C4 photosynthesis—specifically pyruvate phosphate dikinase (PPDK) and phosphoenol-pyruvate carboxylase (PEPC)—to protect C3 crops from climate-change-advantaged weeds. This work bridges fundamental enzyme mechanism studies with practical agricultural applications. Analysis of his publication record (2002-2023) reveals consistent thematic focus on enzyme inhibition strategies, with recent work emphasizing delivery mechanisms (2023), protein-protein interaction interference (2021), and advanced screening methods (2019). His research spans structural characterization, inhibitor design, and physiological testing across multiple plant systems. His laboratory maintains active research programs in: C4 photosynthesis enzyme inhibition Plant hormone signaling modulation Structural basis of enzyme regulation Climate-resilient crop development Current methodological approaches combine computational modeling, structural biology, and plant physiological testing to develop sustainable agricultural solutions addressing climate change impacts on food production.

Miltos Tsiantisمشاهده پروفایل

استاد

• Plant Development
• Evolutionary Biology
• Morphogenesis
• +۶ مورد دیگر

Professor Miltos Tsiantis serves as Director of the Department of Comparative Development and Genetics at the Max Planck Institute for Plant Breeding Research in Cologne, Germany. Originally from the United Kingdom, he has built an international career spanning Greece, England, and the United States before settling at the Max Planck Institute. His research program, which began at this institution in 2013 after relocating from the University of Oxford where he worked for over 20 years, focuses on fundamental questions in plant biology regarding morphogenesis and evolutionary diversity. Dr. Tsiantis's research centers on understanding how genotypes translate into organismal forms through morphogenesis and how conservation versus divergence in morphogenetic networks yields different forms during evolution. His lab has pioneered the use of Cardamine hirsuta (hairy bittercress), an Arabidopsis thaliana relative, as a model system for comparative evolutionary developmental studies. This approach allows his team to investigate key morphological differences between species, particularly in leaf shape, shoot branching, floral structure, and fruit development. His work integrates genetics with biological imaging, genomics, and computational modeling to develop predictive frameworks for understanding plant form. Analysis of his recent publications (2019-2024) reveals a strong focus on leaf morphogenesis, with particular attention to genetic modules involving transcription factors like RCO (REDUCED COMPLEXITY), CUC (CUP-SHAPED COTYLEDON), and KNOX genes, as well as hormonal signaling pathways involving auxin and cytokinin. His research increasingly incorporates advanced computational approaches, including deep learning for 3D image analysis and growth modeling. A consistent theme across his work is the investigation of how small genetic changes can generate significant morphological differences between closely related species. Dr. Tsiantis leads a vibrant research group comprising numerous PhD students, postdocs, and technicians working across two main subgroups: Organ Development and Morphogenesis, and Natural Variation. His lab has developed extensive experimental tools for C. hirsuta , including genome assemblies, mutant populations, and gene expression systems, supporting their comparative work with A. thaliana .

Hoa Khanh Damمشاهده پروفایل

استاد

• Software Engineering
• Artificial Intelligence
• Software Analytics
• +۴ مورد دیگر

Hoa Khanh Dam is Professor and Deputy Head of School (Research) & Head of Postgraduate Studies in the School of Computing and Information Technology at the University of Wollongong, Australia. He serves as Co-Director of the Decision System Lab where he leads research at the intersection of Software Engineering and Artificial Intelligence. His research focuses on developing AI-driven solutions for software quality, cybersecurity, and productivity enhancement. Key interest areas include: AI/IoT autonomous and cyber resilient systems Software Analytics and Mining Software Repositories Large Language Models for software engineering tasks Defect prediction and vulnerability analysis Agile project management optimization Analysis of Dam's 12 publications from 2018-2025 reveals consistent application of machine learning to software engineering challenges. His work shows progressive evolution from traditional ML techniques toward LLM-based frameworks, with major contributions in defect prediction (DeepJIT), vulnerability analysis, microservice recommendation, and agile effort estimation. The research demonstrates strong industry relevance through practical implementations in code review, component prediction, and security systems. Dam co-leads the Decision System Lab at UOW, which develops intelligent decision support systems using AI and data analytics. The lab's work bridges theoretical AI advancements with real-world software engineering applications, particularly in cybersecurity and autonomous systems development.

• Scientific Software Development
• High Performance Computing
• Molecular Dynamics
• +۳ مورد دیگر

Dr. Torsten Stuehn serves as IT Group Leader at the Max Planck Institute for Polymer Research (MPI-P) in Mainz, Germany, leading scientific software development and HPC infrastructure since joining in 2003. He oversees the ESPResSo++ simulation package and collaborates with the University of Mainz and Max Planck Compute and Data Facility (MPCDF). Education: Diploma in Physics, University of Mainz, 1999 Doctorate in Physics, University of Mainz, 2005 His research focuses on scientific software engineering for exascale computing, developing neural network-based force fields, adaptive resolution methods, and load balancing algorithms to advance molecular simulation capabilities. This work addresses critical challenges in maintaining computational leadership for soft matter physics. Recent publications reveal a clear evolution in ESPResSo++ toward exascale readiness, integrating machine learning with multiscale modeling and parallel computing innovations. The software's progression reflects broader trends in computational physics where AI-driven methods and heterogeneous architecture optimization are becoming indispensable. Stuehn directs MPI-P's computational infrastructure team and contributes to major initiatives including Transregio SFB 146 and the European E-CAM project, driving open-source scientific software development for the global research community.

Gregory Gayمشاهده پروفایل

دانشیار

• Software Testing
• Search-Based Software Engineering
• AI for Software Engineering
• +۴ مورد دیگر

Gregory Gay is an Associate Professor in the Interaction Design and Software Engineering division within the Department of Computer Science and Engineering at Chalmers University of Technology and the University of Gothenburg, Sweden. His academic profile spans numerous software engineering conferences where he has served as committee member, program chair, and active researcher since at least 2018. Dr. Gay's research focuses on the intersection of software engineering and artificial intelligence, with particular emphasis on: Software Testing and Analysis Search-Based Software Engineering AI for Software Engineering (AI4SE) AI Engineering Automation of development tasks Software Carbon Footprint and sustainability His recent publications demonstrate a strong trend toward applying AI and optimization techniques to software testing challenges, with increasing focus on sustainability aspects of software development. Many studies take an industrial perspective, examining real-world applications in automotive software systems. His work blends theoretical foundations with practical applications, making significant contributions to both academic research and industrial practice in software engineering. Dr. Gay has been actively involved in numerous top software engineering conferences including ASE, ICSE, ESEC/FSE, ISSTA, and ICST, serving on program committees and organizing tracks. His research methodology typically combines optimization, artificial intelligence, and machine learning to help developers deliver complex systems in a safe, secure, and efficient manner.

Sam Malekمشاهده پروفایل

استاد

• Software Engineering
• Software Analysis and Testing
• Mobile Computing
• +۳ مورد دیگر

Sam Malek is a Professor in the Department of Informatics at the University of California, Irvine's School of Information and Computer Sciences, where he directs the Software Engineering and Analysis Laboratory. Previously serving as Director of the Institute for Software Research (2018-2022), his academic leadership spans software engineering research and institutional management. His research centers on software engineering with specialized expertise in software analysis and testing , mobile computing , security , software architecture , and accessible computing . Malek's work consistently focuses on developing practical techniques and tools for constructing, analyzing, and maintaining large-scale software systems, with recent emphasis on accessibility challenges in mobile and web environments. His publication trends reveal a strategic shift toward accessible computing since 2020, where he pioneered frameworks like Ma11y for web accessibility testing and Groundhog for mobile app crawling. Earlier work established foundations in energy testing (2020), GUI input generation (2021), and architectural analysis, demonstrating methodological evolution from core software engineering to human-centered accessibility solutions. ACM SIGSOFT test-of-time award (2020) National Science Foundation CAREER award (2013) GMU Emerging Researcher/Scholar/Creator award (2013) GMU Computer Science Department Outstanding Faculty Research Award (2011) Malek serves on editorial boards for ACM Transactions on Software Engineering and Methodology and ACM Transactions on Autonomous and Adaptive Systems , while frequently acting as a software expert witness in intellectual property litigation. His research group actively recruits PhD students through UCI's Software Engineering PhD program, with current projects focusing on AI-driven accessibility solutions and mobile testing frameworks. The Software Engineering and Analysis Laboratory under his direction maintains strong industry connections through sponsored research and tool development, particularly in accessibility testing and mobile application quality assurance.