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André BauerView profile

Researcher

• Time Series Forecasting
• Cloud Computing
• Performance Engineering
• +3 more

Prof. Dr. rer. nat. André Bauer is a post-doctoral researcher and group leader at the Chair of Software Engineering (Informatik II) at the University of Würzburg, part of the Faculty of Mathematics and Computer Science. His research focuses on time series forecasting, cloud computing performance engineering, and auto-scaling mechanisms. He leads the Secure Software Systems Group and contributes to the SPEC Research Group and Predictive Data Analytics Group. Education: Bachelor of Computer Science (2012–2014), University of Würzburg Master of Computer Science (2014–2016), University of Würzburg with exchange at Blekinge Institute of Technology Doctoral Researcher (2016–2020), University of Würzburg Research Interests: Bauer specializes in automated hybrid time series forecasting, cloud resource management, reproducible performance evaluation, and proactive auto-scaling systems. His work bridges machine learning, performance engineering, and cloud computing to optimize system behavior and resource utilization. Awards: Summa cum laude doctoral dissertation (2020) Bavarian FameLab Contest winner (2020) Deutschland Stipendium for academic excellence (2014) Teaching & Advising: Coordinates bachelor's courses on Operating Systems and Software Practicum. Supervises bachelor's and master's theses in software engineering and performance analysis. Labs & Groups: Leads the Secure Software Systems Group and serves as Release Manager in the SPEC Research Group, advancing benchmarking standards and predictive analytics tools.

• Recommender Systems
• User Modeling
• Affective Computing
• +3 more

Marko Tkalcic is a Professor affiliated with the University of Primorska, Slovenia, with a former affiliation at the Free University of Bolzano/Bozen, Italy. His research focuses on recommender systems, user modeling, and affective computing, particularly in the context of music, multimedia, and human-computer interaction. He has contributed to over 118 publications since 2008, spanning journals, conferences, and workshops. His work emphasizes ethical AI, transparency in adaptive systems, and the integration of psychological theories into computational models. Key research areas include hybrid music recommendation systems, emotion and personality-driven recommendations, and the societal impact of AI. Tkalcic has organized and chaired multiple workshops, including HUMANIZE (Transparency in Adaptive Systems) and EMPIRE (Emotions and Personality in Personalized Systems). His recent studies explore eudaimonic/hedonic characteristics in media content and the prediction of user preferences using machine learning. He collaborates extensively with institutions like the University of Trento, TU Wien, and Tilburg University, reflecting his global academic network. Tkalcic’s publications address challenges in algorithmic fairness, user-centric design, and interdisciplinary applications of recommendation technologies. His work bridges computational methods with cognitive and social sciences, aiming to enhance human-centered digital experiences.

Volker MarklView profile

Professor

• Distributed Systems
• Scalable Data Processing
• Machine Learning
• +3 more

Volker Markl is a full professor and Chair of Database Systems and Information Management at Technische Universität Berlin. He also serves as Director of the Berlin Institute for the Foundations of Learning and Data, Chief Scientist at DFKI, and holds adjunct roles at the University of Toronto. His research focuses on distributed systems, scalable data processing, and machine learning, with over 200 publications. He has been recognized with prestigious awards including ACM Fellow and European IST Prize. Volker earned his PhD in Computer Science from TU München in 1999 under Prof. Rudolf Bayer. Education: PhD in Computer Science (1999, TU München). Research Interests: Volker’s work bridges distributed systems, scalable data processing, and machine learning. He emphasizes systems-oriented research, data programmability, and innovation in data-driven technologies like Apache Flink, fostering collaborations with industry leaders such as IBM, SAP, and Microsoft. Awards: ACM Fellow European IST Prize (2004) Humboldt Innovation Award (2019) Advising & Grants: Led the DFG-funded Stratosphere project (2010–2019) creating Apache Flink. Holds 18 patents, including UB-Tree indexing. Co-founded startups like dataArtisans and Parstream. Advises German Federal Government and EU on AI/big data policies. Labs/Teams: Leads the Intelligent Analytics for Massive Data Research Group at DFKI and directs the Berlin Institute for Learning and Data systems.

Florentin WörgötterView profile

Professor

• Computational Neuroscience
• Artificial Neural Networks
• Experimental Neuroscience
• +3 more

Prof. Dr. Florentin Wörgötter is a Professor of Physics at Georg-August University Göttingen, specializing in Computational Neuroscience and Biophysics. He holds affiliations with the Bernstein Center for Computational Neuroscience and the Computational Neuroscience Group (CNS) . His career includes roles as a visiting professor at institutions like the Academia Sinica (Beijing, China) and KTH (Stockholm, Sweden), and directorships such as leading the INCITE Institute. Research focuses on computational models of neural systems, synaptic plasticity, and visual system dynamics. Active in interdisciplinary fields including brain-machine interfaces and developmental neuroscience. His work bridges experimental and theoretical approaches, with recent publications addressing dynamical systems modeling, unsupervised learning, and infant motor behavior analysis. Notably, he has contributed to frameworks for smart environment control via neural interfaces. Awards section: No specific scientific awards listed in the provided text. Advising/Grants: The text does not explicitly list advised students or grants, though his extensive collaborations suggest active mentorship and funding. Labs/Teams: Leads the CNS Group at Göttingen, affiliated with the Physics of Biological and Complex Systems (IMPRS) and Theoretical and Computational Neuroscience research clusters.

Debopam BhattacherjeeView profile

Researcher

• AI Systems
• Networked Systems
• Low-Earth Orbit Satellite Networks
• +1 more

Debopam Bhattacherjee is a Senior Researcher at Microsoft Research, Bangalore, focusing on AI Systems, Networked Systems, and Low-Earth Orbit (LEO) Satellite Networks. He holds a PhD in Computer Science from ETH Zürich (2021) and a dual Erasmus Mundus Master's in Security and Mobile Computing. His work has been recognized with the IRTF Applied Networking Research Prize (2020) and multiple Best Paper/Dataset Awards. Research interests include LEO satellite networks, sustainable AI systems, network topology design at hypersonic speeds (27,000 km/hour), and green computing via modular data centers. His publications span ACM SIGCOMM, USENIX ATC, IEEE COMSNETS, and arXiv, with recent patents on AI-driven LLM training and inference systems. Key awards: IRTF Applied Networking Research Prize (2020) Best Paper Award at ACM IMC 2020 Best Dataset Award at ACM IMC 2020 He has supervised numerous PhD/Master's students at ETH Zürich and Microsoft Research, including Tella Rajashekhar Reddy, Shubham Tiwari, and Saksham Bhushan. His educational background includes a B.E. in Computer Science & Engineering from Jadavpur University (2009) and a research fellowship at the Max Planck Institute (2019).

Norbert HanikView profile

Associate Professor

• Optical Communications
• Signal Processing
• Information Theory
• +3 more

Prof. Norbert Hanik is an Associate Professor at the Technical University of Munich (TUM), leading the Chair of Wired Communications. His research focuses on modeling, design, and optimization of optical and copper-based communication systems, integrating methods from communications engineering, information theory, and quantum physics. He has held roles at Deutsche Telekom Technology Center and was a visiting professor at DTU Photonics in Denmark. Education: Diploma in Electrical Engineering (TUM, 1989), Dr.-Ing. in Communications Engineering (TUM, 1995). Research Interests: Optical communication system optimization, nonlinear fiber effects, polymer optical fibers, short-reach copper communications, and advanced modulation schemes. His work includes developing high-capacity optical transmission systems and investigating novel materials like silicon nitride waveguides for wavelength conversion. Grants and Collaborations: Funded by BMBF, EU, and industry partners. Projects include SENDATE (secure data center networks) and FICUS (flexible infrastructure for secure communication). Labs/Teams: Active in the Wireline Transmission Technology group, focusing on physical modeling, simulation, and optimization of optical systems. Collaborates with industry leaders like ADVA Optical Networking.

Klaus DiepoldView profile

Professor

• Machine Learning
• Signal Processing
• Ethical AI
• +2 more

Prof. Dr.-Ing. Klaus Diepold is a Full Professor and Chair of Data Processing at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology. He earned his PhD in Electrical Engineering from TUM in 1992. His research focuses on machine learning, multimedia signal processing, moral machines, and affect modeling for cognitive systems. He actively promotes entrepreneurship through the Center for Digital Technology and Management (CDTM). Academic Career: Diepold held visiting professorships at the University of Alberta, Canada, and NICTA, Australia. He served as Dean of Studies at TUM (2005–2010) and Senior Vice President for Diversity and Talent Management (2013–2015). He has contributed to MPEG standards and led projects in telepresence (SFB-453) and cognitive systems (CoTeSys). Research Interests: His work spans ethical AI, reinforcement learning, biomedical applications of machine learning, and interdisciplinary education. Notable projects include CellFace, Sirrel, and the development of AI-driven diagnostic tools using digital holographic microscopy. Awards: He has received the TUM Teaching Prize (2004), Fellowship for Innovation in University Teaching (2012), and the 2024 IEEE German Education Conference Best Paper Award. His work on 'Komputer & Creativität' highlights innovative teaching at the intersection of engineering, AI, and theater. Labs & Teams: His team includes researchers like Sven Gronauer and Alice Hein, focusing on projects like GenAI chatbot agents, clinical applications of computational medicine, and cybersecurity. The Chair of Data Processing collaborates with industry partners like fortiss and Rohde & Schwarz.

Mingshuai ChenView profile

Assistant Professor

• Formal Verification
• Programming Theory
• Logical Aspects of Computer Science
• +5 more

Mingshuai Chen is an Assistant Professor at Zhejiang University, leading the Formal Verification Group. He previously held a postdoctoral position at RWTH Aachen University. Education: Ph.D. in Computer Science from Institute of Software, Chinese Academy of Sciences (2019) B.Sc. in Computer Science from Jilin University (2013) His research focuses on formal verification, synthesis, programming theory, and probabilistic/quantum systems. Notable contributions include Exact Bayesian Inference and Lower Bounds for Probabilistic Programs . Scientific awards include: NSFC Excellent Young Scientists Fund Program (Overseas) Distinguished Paper Award at ATVA 2018 Best Paper Award at FMAC 2019 CAS-President Special Award (2019) 2nd Prize@ChinaSoft'24 He serves on program committees for OOPSLA 2026, TACAS 2026, and multiple other conferences.

• Computational Humanities
• Text Technology
• Quantitative Corpus Linguistics
• +7 more

Prof. Dr. Alexander Mehler is a full professor of Computational Humanities and Text Technology at the Goethe University Frankfurt , where he leads the Text Technology Lab (TTLab) . He has held leadership roles in multiple academic societies including the German Society for Computational Linguistics & Language Technology and the German Society of Semiotics , and is a founding member of the German Society for Network Research (DGNet) . His research focuses on quantitative analysis of textual units in spoken/written communication, linguistic network modeling , and 4D text technologies integrating Virtual/Augmented Reality. Current projects include ENTAILab (DFG-funded infrastructure for social sciences), FACES (VR-based survey research), and C08/B05 modules in the Critical Online Reasoning (COR) framework. He has supervised numerous PhD candidates in areas spanning multilingual NLP , 3D scene generation from text , stemma analysis tools , and network-theoretic approaches to language classification . His lab's work intersects with machine learning , cognitive modeling , and digital humanities infrastructure . As principal investigator, he leads projects funded by DFG (SPP 2431, SFB 1629, FID 326061700) and LOEWE programs , with recent developments in mimodockerized NLP pipelines and VR-based learning systems . Key collaborations include ACM Conference on Hypertext and KONVENS NLP conferences . His methodological expertise spans multimodal data analysis , neural active learning , and cross-linguistic computational models . He has developed open-source infrastructures for digital humanities research and educational analytics , including the TextImager platform .

• Postharvest Technology
• Food Packaging
• Sustainable Food Systems
• +9 more

Tuany Gabriela Hoffmann is a Scientist in the Department of Systems Process Engineering at the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) in Potsdam, Germany, and a PhD researcher at Humboldt-Universität zu Berlin. Her interdisciplinary work bridges food engineering, postharvest technology, and sustainable bioeconomy, with a focus on digital solutions for cold chains and eco-friendly packaging systems. PhD Researcher , Humboldt-Universität zu Berlin, 2023–present Scientist , ATB Potsdam, Department of Systems Process Engineering, 2022–present Adjunct Professor , University of Blumenau, 2021 Research Engineer , University of Blumenau, 2019–2022 Her research interests include IoT-based monitoring in food storage , digital twin development (e.g., Fruity-Twin), condensation and mass loss modeling , biodegradable food packaging , and waste valorization in the circular bioeconomy . She has contributed to numerous high-impact publications in journals such as Postharvest Biology and Technology , Journal of Cleaner Production , and Materials Today Communications . The most recent articles highlight a strong trend toward digitalization of cold chains , real-time predictive modeling , and sustainable material innovation . Her work integrates experimental validation with IoT platforms (Raspberry Pi, Kafka, InfluxDB) and advanced modeling to optimize food storage, reduce waste, and improve energy efficiency. The projects often involve international collaboration and are funded by organizations such as the German Research Foundation (DFG). Scientific Awards No awards explicitly mentioned in the text. Advising and Grants Actively involved in DFG-funded project Fruity-Twin (Project number: 521409147) on digital twins for apple storage. Collaborates on interdisciplinary teams; co-authored multiple review and research papers on food packaging, safety, and sustainability. Contributes to early-career research leadership as a Committee Member of the Young Professional Network, EurAgEng. Labs and Teams Works within the Systems Process Engineering unit at ATB, focusing on sensor integration, data streaming, and digital twin platforms. Part of a research group developing IoT-enabled cold chain monitoring systems using Raspberry Pi, Kafka, and InfluxDB. Engaged in collaborative research with Humboldt-Universität zu Berlin and international partners.

Marcelo ArenasView profile

Professor

• Data Management
• Semantic Web
• Database Theory
• +3 more

Marcelo Arenas is a Professor at the Department of Computer Science and the Institute for Mathematical and Computational Engineering at the Pontifical Catholic University of Chile. He is a Fellow of the Association for Computing Machinery (ACM), former director of the Millennium Institute for Foundational Research on Data, and co-founder of the Center for Semantic Web Research. His Ph.D. in Computer Science was obtained from the University of Toronto in 2005. Research interests include data management , applications of logic in computer science , and Semantic Web technologies. He has published extensively on topics such as SPARQL query complexity , graph database systems , and incomplete database theory , with notable works like MillenniumDB and Foundations of Data Exchange . Scientific accolades: 2016 SWSA Ten-Year Award for "Semantics and Complexity of SPARQL" IBM Ph.D. Fellowship (2004) Nine Best Paper Awards across PODS, ISWC, ICDT, ESWC, WWW, and NeurIPS His work on approximate counting algorithms (e.g., FPRAS for #NFA) and explainable AI frameworks has influenced database theory, while serving on program committees for ICDT 2015, ISWC 2015, and PODS 2018 demonstrates leadership in the field. Current projects focus on probabilistic explanations for decision trees and temporal regular path queries in knowledge graphs.

Ansgar ScherpView profile

Professor

• Data Science
• Big Data Analytics
• Text Analytics
• +7 more

Professor Ansgar Scherp is a leading academic in Data Science and Big Data Analytics at Ulm University , Germany. His career spans multiple institutions including University of Essex, University of Stirling, and Kiel University, where he led the EU Horizon 2020 MOVING project. He holds a habilitation thesis on Semantic Media Management and has pioneered research in combining symbolic and statistical methods for data analysis. Current: Professor for Data Science & Big Data Analytics (Ulm University) Previous: Professor for Knowledge Discovery (Kiel University), Juniorprofessor roles (Mannheim, Koblenz-Landau) Skills: Semantic Web, Graph Mining, Text Analytics, Multimedia Systems His research interests focus on integrating Information Retrieval, Data Mining, Machine Learning, and Semantic Web technologies. He has developed innovative methods like HCF-IDF for semantic profiling and SchemEX for schema-level indexing of Linked Data. His work addresses challenges in media companies' digital transformation and large-scale Knowledge Graph analysis. Scientific awards include: Best Paper Award, Symposium on Document Engineering (2021) Best Student Paper Award, Symposium on Document Engineering (2019) ACM SIGMM Rising Stars Symposium Speaker (2016) Double Winner of Billion Triple Challenge (2008, 2011) klickTel Award (2013) He has supervised 12 PhD theses and over 15 Master's theses , with students now working at Google, Capgemini, and academic institutions. His email addresses are ansgar.scherp@uni-ulm.de and mail@ansgarscherp.net .

• Data Science
• Artificial Intelligence
• Knowledge Engineering
• +9 more

Christoph Lange-Bever (publishing as Christoph Lange) is a senior researcher in computer science, specializing in data science and artificial intelligence, affiliated with the Fraunhofer Institute for Applied Information Technology FIT and the Chair for Information Systems at RWTH Aachen University since 2019. He leads the Data Science and Artificial Intelligence department at Fraunhofer FIT and previously headed the Knowledge Pipelines department from 2019–2021. His career spans roles at the University of Bonn, Fraunhofer IAIS, University of Birmingham (as an honorary research fellow until 2017), and University of Bremen. PhD from Jacobs University Bremen (2011) on semiformal mathematical knowledge collaboration Focus areas include knowledge engineering, semantic web, data infrastructures , and FAIR principles Applications span enterprise data integration , research infrastructures , and cross-organization data spaces His recent publications (2023–2025) emphasize FAIR data spaces , LLM integration , semantic interoperability , and knowledge graph tools . While no specific scientific awards are listed, he has co-supervised 10 PhD students and contributed to international standards (OMG, W3C). He teaches courses like Knowledge Graph Lab and Sovereign Data Exchange , blending research with practical applications for global enterprises.

Ulf GräweView profile

Researcher

• Particle Dynamics
• Tropical/Subtropical Coastal Circulations
• Wind Waves
• +3 more

Ulf Gräwe is a researcher at the Leibniz Institute for Baltic Sea Research , focusing on coastal and estuarine dynamics, with expertise in particle transport, wave-flow interactions, and Baltic Sea hydrology. His work bridges numerical modeling and empirical analysis of marine systems. Key research areas: Particle Dynamics, Coastal Circulations, Wave-Flow Coupling Primary affiliation: Leibniz Institute for Baltic Sea Research (Warnemünde, Germany) Email: ulf.graewe@io-warnemuende.de Research Trends : Recent publications emphasize extreme sea level events , storm surge uncertainties , machine learning applications in discharge forecasting, and military legacy contamination in the Baltic Sea. His studies integrate 3D hydrodynamic modeling , Lagrangian transport analysis , and climate change impact assessments on coastal systems. Projects : Involved in M-LAB (sea level rise impacts on coastal defenses) and BMIP (Baltic Sea model intercomparison), with a focus on anthropogenic interventions like channel deepening and ecosystem responses to stratification and salinity changes.

Matthias LabrenzView profile

Professor

• Microbial Ecology
• Bacterial Taxonomy
• Microplastics Pollution
• +3 more

Prof. Dr. Matthias Labrenz is a Professor at the University of Rostock and heads the Environmental Microbiology working group at the Leibniz Institute for Baltic Sea Research (IOW) in Rostock, Germany. He holds a Diplom in Biology (1995) and a PhD (1999) from Christian-Albrechts-University Kiel, followed by postdoctoral research at the University of Wisconsin-Madison and the German Research Center for Biotechnology. He completed his Habilitation in Microbiology at the University of Rostock in 2008. His research focuses on: Microbial diversity in extreme environments Microplastics pollution and environmental impacts Pathogenic Vibrio ecology in the Baltic Sea Bacterial taxonomy and biogeochemical cycling Development of in situ microbial technologies Labrenz leads major projects including OTC-Genomics (BMBF) for environmental DNA monitoring and BaltVib (EU) on pathogenic Vibrio control. He has published extensively on microbial responses to pollutants, nutrient cycling in redox zones, and microplastic-biofilm interactions. He directs IOW's genetic engineering facility and oversees doctoral researchers in microbial ecology. His group develops innovative methods like microplastic immobilization techniques and autonomous sampling systems.