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Elisabetta GalloView profile

Professor

• Particle Physics
• High-Energy Physics
• Collider Physics
• +3 more

Elisabetta Gallo is a Professor at the University of Hamburg and a Leading Scientist at DESY, focusing on particle physics experiments. She is a core member of the CMS Collaboration at the Large Hadron Collider (LHC), specializing in Standard Model measurements, particularly Higgs boson physics, and advancing detector technologies for future upgrades. Her work includes contributions to the CMS experiment, detector operations, and the development of tracking systems for the High-Luminosity LHC. Affiliations: University of Hamburg (Professor), DESY (Leading Scientist), CMS Collaboration (Member). Research Interests: Particle physics, Higgs boson studies, collider experiments, detector technology, and future collider projects like the Future Circular Collider (FCC). Her academic career includes roles at INFN Florence (2007–2014), Imperial College London (1992–1995), and a PhD in Physics from the University of Florence (1992). She is a member of the Academy of Sciences in Hamburg (since 2015) and the European Physical Society. Her research group actively participates in Higgs boson measurements, detector innovations, and FCC feasibility studies. Key contributions include tetraquark spin-parity determinations and leadership in CMS's tracking detector upgrades.

• Corpus architectures
• Historical corpora
• Parallel corpora
• +5 more

Martin Klotz is a Researcher at the Institute for German Language and Linguistics, Humboldt University of Berlin, affiliated with the Collaborative Research Center (SFB1412) and the Research Unit for Emerging Grammars (RUEG). His work focuses on corpus linguistics, computational linguistics, and digital humanities infrastructure. He holds an MSc in Cognitive Systems (2019, University of Potsdam) and a BA in German Linguistics & Computer Science (2015, Humboldt University). Key research interests include corpus architectures, historical and parallel corpora, language modeling for non-standard varieties, and research software engineering. He contributes to projects like the RUEG corpus and FALKO learner corpus, emphasizing multilingual and multimodal corpus development. His publications span corpus design, software tools (e.g., Annatto), and analyses of heritage languages. He actively organizes academic events, such as the 2021 DGfS short working group on contrastive corpus methodology. He participates in lab collaborations like Deutsch Diachron Digital and contributes to open-source corpus tools. His work bridges computational methods with linguistic theory, focusing on dynamic language systems.

Dirk BosbachView profile

Professor

• Nuclear Waste Management
• Radionuclide Migration
• Radiochemistry
• +4 more

Prof. Dirk Bosbach is a leading academic at Forschungszentrum Jülich GmbH, holding a Professorship in the Nuclear Waste Management (IFN-2) department of the Institute of Fusion Energy and Nuclear Waste Management (IFN). His research focuses on geochemical processes relevant to nuclear waste disposal, including radionuclide migration, mineral-water interactions, and spent nuclear fuel behavior. He leads projects like iCROSS (integrity of radioactive waste disposal systems) and contributed to the DISCO project on modern spent fuel disposal. Key affiliations: Institute of Fusion Energy and Nuclear Waste Management Expertise in reactive transport modeling, synchrotron-based materials analysis, and lab-on-a-chip technologies Prominent work on radium retention in clays, uranium oxide microstructure characterization, and cementitious barrier performance Recent research highlights include AI-driven geochemical experimentation, pore-scale modeling of diffusion in unsaturated media, and development of uranium oxide reference materials for nuclear safeguards. His team combines experimental methods (microfluidics, synchrotron XRD) with advanced computational tools to understand coupled hydrogeochemical processes in geological repositories.

• Statistics
• Probability Theory
• Machine Learning
• +3 more

Thomas Augustin is a Professor at the Department of Statistics, Faculty of Mathematics, Computer Science and Statistics, Ludwig-Maximilians-Universität München. He serves as Dean of Studies and Program Coordinator, with contact details at Ludwigstr. 33, Munich. Research Interests Augustin specializes in methodological foundations of statistics and their applications, particularly focusing on imprecise probability theory, Bayesian inference under epistemic uncertainty, and machine learning under complex uncertainty scenarios. His work addresses statistical modeling, robust regression analysis, and decision-making with non-randomly coarsened observations. Publications & Research Trends Recent publications highlight advancements in imprecise Bayesian optimization, human-AI collaboration frameworks, and statistical methods for handling undecided voter data. Key themes include robust machine learning, survival analysis with frailty models, and multi-criteria benchmarking techniques. Contact & Affiliation Email: thomas.augustin@stat.uni-muenchen.de | Office: Room L250 | Phone: +49 89 2180 3520

• Cryptography
• Post-Quantum Cryptography
• Cryptographic Engineering
• +4 more

Peter Schwabe is a scientific director at the Max Planck Institute for Security and Privacy (MPI-SP) and a part-time professor in the Digital Security Group at Radboud University, Nijmegen, The Netherlands. His primary research focuses on cryptographic engineering, particularly post-quantum cryptography, secure cryptographic implementations, and high-assurance systems. He holds a PhD from Eindhoven University of Technology (2011) and a Diplom in Computer Science from RWTH Aachen University (2006). His work includes leading projects like the ERC-funded EPOQUE project, which engineered post-quantum cryptographic standards. He contributed to NIST’s post-quantum cryptography standardization efforts, notably as a core developer of CRYSTALS-Kyber and CRYSTALS-Dilithium. His research spans lattice-based cryptography, code-based cryptography, and formal verification of cryptographic software. Publications highlight advancements in secure implementations against side-channel and speculative execution attacks, high-assurance cryptographic libraries (e.g., EasyCrypt), and practical post-quantum TLS protocols. Key contributions include optimizing cryptographic algorithms for embedded systems (ARM Cortex-M) and formal verification of KEMs like ML-KEM. Scientific awards include an ERC Starting Grant (2018). He advises numerous PhD students and collaborates with industry and academia on cryptographic standards and security. His labs focus on cryptographic engineering, with teams advancing both theoretical and applied aspects of post-quantum security.

Marios C. AngelidesView profile

Professor

• Multimedia Systems
• Artificial Intelligence
• Machine Learning
• +4 more

Marios C. Angelides is a prominent academic specializing in multimedia systems, artificial intelligence, and collaborative technologies. His work focuses on integrating machine learning, IoT, and game theory into applications such as autonomous systems, disaster response, and personalized gaming. He has authored over 90 publications, including influential papers on MPEG standards and AI-driven UAV coordination. His research bridges theoretical frameworks with practical implementations in telecommunications, emergency communications, and educational technologies. Angelides collaborates extensively with researchers like Faris A. Almalki and Harry W. Agius, advancing interdisciplinary solutions in intelligent tutoring systems and adaptive multimedia.

Konrad ClewingView profile

Researcher

• Southeast European History
• Nationalism
• State Formation
• +3 more

Konrad Clewing is a Researcher at the Institute for East and Southeast European Research (IOS) since 2012, specializing in Balkan history, state formation, and political identity. His work spans monographs, edited volumes, and extensive journal contributions. Education : PhD in Southeast European history from LMU Munich (1997), with studies in Munich, Vienna, and Zagreb. Editorial Roles : Co-editor of Südost-Forschungen , Südosteuropäische Arbeiten , and Handbuch zur Geschichte Südosteuropas . Research Focus : Nationalism, post-Ottoman transitions, Kosovo conflicts, migration patterns, and interethnic relations. His 2018 analysis highlights Kosovo’s political urgency. Media Engagements : Regular commentary in outlets like Deutsche Welle , Albanian Post , and Die Furche on Balkan crises.

• Machine Translation
• Natural Language Processing
• Language Resources
• +5 more

Stelios Piperidis is a prominent researcher at the Athena Research and Innovation Center, specializing in language technologies and digital language equality initiatives across European frameworks. His work spans machine translation, language resource development, and multilingual infrastructure projects including the European Language Grid (ELG), European Language Equality (ELE) program, and META-SHARE infrastructure. His research interests focus on overcoming language barriers through advanced computational methods, with particular emphasis on scientific domain machine translation , parliamentary corpus analysis , and digital language equality metrics . He has pioneered methodologies for constructing specialized parallel corpora from scientific abstracts, news metadata, and parliamentary debates, addressing challenges in domain adaptation and multilingual resource scarcity. His publication trends reveal consistent contributions to language resource standardization, metadata schemas, and European language technology policy frameworks. Recent work centers on the European Language Data Space initiative and sustainability models for digital language equality. Piperidis has played key roles in numerous European Commission-funded projects, contributing to strategic agendas for language resource coordination and technological infrastructure development. His collaborative work spans over 50 institutions across Europe, focusing on practical implementations of language technology solutions for public sector applications and academic research. He actively participates in major language resource conferences including LREC and EAMT, contributing to community-building efforts through workshop organization and editorial work. His leadership in European language technology initiatives has helped shape strategic roadmaps for achieving full digital language equality by 2030.

Fabian IsenseeView profile

Researcher

• Medical Image Segmentation
• Deep Learning
• Computer Vision
• +2 more

Dr. Fabian Isensee serves as Head of the Applied Computer Vision Lab within the Helmholtz Imaging Support Unit at the German Cancer Research Center (DKFZ), where he leads efforts to translate cutting-edge AI methodologies into practical solutions for Helmholtz Association researchers. His work focuses on developing domain-agnostic software for AI-based image analysis and algorithm evaluation across diverse biomedical applications. He earned his PhD from DKFZ's Division of Medical Image Computing, where he pioneered nnU-Net—the now de facto standard for medical image segmentation that earned publication in Nature Methods and multiple international competition victories. His research centers on deep learning for 3D semantic segmentation in biological and medical contexts, emphasizing automated pipeline design and open-science dissemination of tools. Analysis of his 2023–2025 publications reveals dominant trends in medical image segmentation with 85% focused on 3D architectures, particularly lesion detection (PET/CT), anatomical structure segmentation (vascular/circle of Willis), and trauma assessment (pelvic fractures/TBI). Key innovations include promptable segmentation frameworks, active learning evaluation, and federated benchmarking for healthcare AI. While specific award names aren't documented, his methods have secured victories in numerous international segmentation competitions including FeTS, AutoPET, and TopCoW challenges. His leadership extends to developing evaluation frameworks like Metrics Reloaded for rigorous validation of medical AI systems. As head of the Applied Computer Vision Lab, he directs collaborative projects across Helmholtz centers, providing consulting services and developing tools like nnU-Net variants that address segmentation challenges in oncology, neurology, and cardiology. His team's work supports over 15 major challenges including KiTS21 and PENGWIN, with active grants focused on decentralized AI evaluation and longitudinal lesion analysis.

Susanne FeistelView profile

Researcher

• Research Data Management
• Marine Data Science
• Data Curation
• +3 more

Dr. Susanne Feistel is a Researcher at the Leibniz Institute for Baltic Sea Research (IOW) in Warnemünde, Germany, affiliated with the IT & Data Management department under the Directorate. She holds a Dr. rer. nat. from Ludwig Maximilian University of Munich (2012) and a Dipl. Biol. from the University of Rostock (2004). Her research focuses on marine data management systems, with specialization in research data curation, metadata frameworks (notably IOWMETA), and oceanographic database development (IOWDB/ODIN2). Key domains include: Research data lifecycle management for marine science Baltic Sea hydrographic and hydrochemical data analysis Data provenance and reproducibility frameworks Development of FAIR data standards for ocean research Her publications demonstrate consistent focus on marine data systems, with recent work emphasizing standardized data management practices for large-scale research collaborations, geospatial analysis of Baltic Sea conditions, and reproducible data workflows. Publications show strong thematic clustering around metadata systems, hydrographic assessment methodologies, and research data governance. As Data Steward, she contributes to institutional and national research data management strategies, including DAM (German Marine Research Alliance) initiatives. No awards or student supervision information was found in the source materials.

Maria-Esther VidalView profile

Professor

• Data Science
• Semantic Web
• Knowledge Graphs
• +7 more

Prof. Dr. Maria-Esther Vidal is the head of the Scientific Data Management Research Group at Technische Informationsbibliothek (TIB) , a member of the L3S Research Centre at Leibniz Universität Hannover, and a full professor (on-leave) at Universidad Simón Bolívar, Venezuela. She lectures Master courses at the Faculty of Electrical Engineering and Computer Science, Leibniz Universität Hannover.

Jana EberleinView profile

Professor

• Management Accounting
• Cost Accounting
• Performance Measurement
• +5 more

Prof. Dr. Jana Eberlein serves as Professor and Dean of the Faculty of Economics at Harz University of Applied Sciences, where she also holds membership in the Academic Senate and previously chaired the Budget and Structure Commission until June 2020. Her academic home is the Department of Economics within the Faculty of Economics, and she maintains active membership in the International Controller Association. Her research spans critical areas including budgeting and variance analysis, performance measurement systems, process costing, and service controlling, with growing emphasis on sustainability accounting and digital transformation. Current projects investigate the intersection of controlling, internal control, and compliance frameworks, alongside sustainability controlling implementations in corporate environments. She examines how digital tools reshape traditional accounting practices through SAP integration and real-time analytics. Recent publications (2020-2023) reveal three dominant trends: the digitalization of controlling processes through visualized reporting and ERP systems, the integration of sustainability metrics into core accounting functions, and the evolving strategic role of controllers in risk management. Her work consistently bridges theoretical frameworks with practical SAP implementations, particularly in activity-based costing and process-oriented contribution margin accounting. Prof. Eberlein supervises bachelor's and master's theses through structured guidelines for academic papers and established the "Career Orientation: Management Accounting" program for bachelor students. She founded the "Controlling Network of the Harz University of Applied Sciences" on XING to facilitate professional networking among graduates and practitioners in controlling fields.

Stephan HuberView profile

Researcher

• User Research
• UX evaluation methods
• Accessibility & Inclusive Design
• +3 more

Dr. Stephan Huber is a Researcher at the Psychological Ergonomics group within the Institute for Human-Computer-Media at Julius-Maximilians-University Würzburg's Faculty of Human Sciences. He holds a PhD in Human-Computer Interaction with his doctoral thesis titled 'Proxemo: Documenting Observed Emotions in HCI'. Huber completed his B.Sc. and M.Sc. in Human-Computer Systems and Human-Computer Interaction at the University of Würzburg, including a research internship with Prof. Dr. Penelope Sanderson at the University of Queensland. Before his academic career, he worked as a software tester for automotive infotainment systems at GARMIN. His research focuses on User Research, UX evaluation methods, Accessibility & Inclusive Design, and User Experience Design in Safety-Critical Areas. Huber's work bridges human factors, psychological ergonomics, and practical applications in healthcare and safety-critical domains. His recent publications demonstrate a strong focus on AI-human teaming in medical contexts, inclusive design solutions, and novel evaluation methodologies. Analysis of his recent publications (2023-2025) reveals a clear trajectory toward Human-AI collaboration in healthcare settings, particularly in anesthesiology. His work spans multiple subfields including emotion recognition, inclusive design for visually impaired users, multispecies interaction, and safety-critical systems. A recurring theme is the development of novel evaluation methods and tools for assessing user experience in complex contexts. As a research associate since 2015, Huber has been actively involved in multiple projects including 'InterMem,' 'FUTURE,' and 'CASSANDRA listens and helps: An AI team member for anesthesia.' His teaching portfolio includes Accessibility & Inclusive Design, Methods of user-centered design, Usability and software ergonomics, Interaction Guidelines, and Interaction Prototyping. Huber collaborates extensively within the Psychological Ergonomics team at Würzburg, working closely with Prof. Dr. Jörn Hurtienne, Dr. habil. Tobias Grundgeiger, and other researchers. His work often involves interdisciplinary collaboration between computer science, psychology, and medical domains, particularly evident in his recent projects focused on healthcare applications.

• Database Systems
• Heterogeneous Computing
• GPU Acceleration
• +4 more

David Broneske is a Researcher at the Otto von Guericke University of Magdeburg , Germany. His work spans Database Systems , Heterogeneous Computing , and Machine Learning Applications , with a focus on GPU/FPGA Acceleration and Non-volatile Memory (NVM) Optimization . He has contributed to projects like ADAMANT (co-processor integration) and GridTables (H2TAP data stores). Key Research Areas : Database acceleration via specialized hardware, Graph database applications in clinical/biological domains, and AutoML for domain-aware model selection. Collaborations : Frequent co-author with Gunter Saake, Bala Gurumurthy, and Sajad Karim on topics like NVM Storage and GPU-based Query Execution . Publications : Over 105 papers (2012–2025) covering Protein Identification Systems , Entity Resolution , and Software Evolution Datasets . Workshops : Co-organized the Workshop on Novel Data Management Ideas on Heterogeneous (Co-)Processors (NoDMC) and contributed to standards like Backlogs/Interval Timestamps for temporal graph queries.

Rachel WarnockView profile

Professor

• Phylogenetics
• Paleobiology
• Bayesian Inference
• +3 more

Professor Rachel Warnock leads the Systems Paleobiology research group at the GeoZentrum Nordbayern , part of Friedrich-Alexander University Erlangen-Nuremberg (FAU). Her work bridges paleontological and molecular data through advanced phylogenetic methodologies. Develops Bayesian phylodynamic frameworks Specializes in fossil data integration Focus on speciation/extinction processes Recent publications emphasize Bayesian phylogenetic inference , fossilized birth-death modeling , and macroevolutionary analysis across biological and cultural systems. She co-authored the FossilSim and FossilSimShiny packages for fossil occurrence simulation. Her research team includes collaborators from computational biology, paleontology, and evolutionary ecology domains, operating within FAU's Paleontology Department .