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Anja KleinView profile

Professor

• Wireless Communications
• Networking
• Machine Learning
• +5 more

Prof. Anja Klein is a Professor in the Department of Electrical Engineering and Information Technology at Technische Universität Darmstadt. She leads the Communications Technology group, focusing on cutting-edge research in wireless communications, edge computing, and UAV-enabled systems. Her work emphasizes optimization techniques, machine learning applications, and energy-efficient network designs. Key areas of expertise include integrated sensing and communication (ISAC), multi-agent systems, and resilient digital infrastructure. Her research spans topics such as UAV-assisted communication networks, risk-aware optimization, and decentralized learning in mobile edge computing. Notable contributions include advancements in beamforming algorithms for UAV systems, age of information minimization, and sustainable resource allocation strategies. Prof. Klein collaborates extensively on projects like the MAKI initiative, exploring future wireless network transitions and protocol-independent architectures. Her publications highlight innovations in network resilience, such as Safehaul for mmWave self-backhauling and techniques for handling imperfect feedback channels in status update systems. She also investigates socio-technical challenges, including user preferences in data forwarding and incentive mechanisms for video streaming in multi-hop networks. Her work bridges theoretical foundations with practical applications in 5G/6G networks, IoT, and smart city technologies.

Lutz M. KolbeView profile

Professor

• Information Management
• Digital Transformation
• Customer Relationship Management
• +7 more

Lutz M. Kolbe is a full Professor and Chair of Information Management at the Faculty of Economic Sciences, University of Göttingen, Germany, a position he has held since July 2007. He previously served as Dean of the Faculty from 2016 to 2018 and was a Visiting Professor at Macquarie University, Australia (2018–2019). His academic affiliations include research and teaching roles at the University of St. Gallen, Switzerland, and visiting scholar positions at IBM Research Center, New York University, and the University of Rhode Island. Ph.D., Technical University Bergakademie Freiberg, Germany (1997) Habilitation, University of St. Gallen, Switzerland (2006) Master Studies in Business Administration & Computer Science, University of Braunschweig (1989–1993) Apprenticeship in Banking, Hannover Savings Bank (1985–1987) His research centers on the intersection of information systems and business strategy, with key interests in Information Management , Digital Transformation , Customer Relationship Management , Smart Mobility , Digital Health , and Data Governance . His work bridges academic theory and industry application, particularly in service science and digital economy. He leads interdisciplinary research projects and labs, including the VR Lab, focusing on innovative digital solutions. The absence of listed publications in the source text prevents analysis of article trends, but his research trajectory indicates a consistent focus on digital innovation in business contexts. No specific scientific awards are mentioned in the provided text. Lutz M. Kolbe has supervised research groups and advised organizations in both academic and corporate settings. While no formal list of advisees is provided, he led research groups at the University of St. Gallen (2002–2007) and has held board and management roles at onValco AG, Paybox AG, and Deutsche Bank, indicating strong mentorship and leadership in applied research and innovation. There is no explicit mention of research grants, though his visiting scholar positions (e.g., funded by the Leisler Kiep Foundation) suggest prior grant support. He leads several research initiatives including the VR Lab, Smart Mobility, Digital Health, and Data Governance projects at the University of Göttingen, fostering interdisciplinary collaboration and innovation in digital technologies and their business applications.

• Information Behavior
• User Experience Design
• Health Information Systems
• +3 more

Prof. Dr. Elke Greifeneder is a full professor at the Institute of Library and Information Science (IBI) at Humboldt University, Berlin. She holds a dual role in teaching and research, specializing in Human Information Behavior, Standardization of Online Methods, and User Experience Design. Her work focuses on bridging theoretical frameworks with applied research in library accessibility, digital curation practices, and misinformation dynamics. Her research areas include health information behavior, hybrid digital methodologies (e.g., remote card sorting), and user-centric evaluations of digital platforms. Notable contributions include pioneering studies on false health information dissemination and co-developing the General Model of the Information Behavior Field . Professional Involvement: Member of the RuhrBots Advisory Board (social robotics), ISIC Steering Committee Deputy Chair, and Leibniz Institute for Educational Media Board member. Conference Leadership: Organized ISIC 2022 as General Chair and co-chaired panels for ISIC 2024. Editorial Roles: Associate Editor of Library Hi Tech (2012–2017). Recent publications emphasize accessibility in libraries, information behavior during health crises, and digital curation in cultural heritage contexts. Her work integrates ethnographic methods with innovative digital tools to address real-world challenges in information systems.

Paul BossauerView profile

Researcher

• Mobility Research
• Data Markets
• Innovation and Information Management
• +4 more

Paul Bossauer is a Researcher and Managing Director at the Institute for Consumer Informatics at the University of Applied Sciences Bonn-Rhein-Sieg. His work spans Mobility Research, Data Markets, Innovation and Information Management, Usability & User Experience, Blockchain & Cryptocurrencies, and Platform Economy. Research Focus Mobility Research: Sustainable transport systems, shared mobility, autonomous vehicles. Data Markets: Data governance, privacy, value creation through consumer data. Blockchain: Applications in sharing economy and trust mechanisms. User Experience: Design of digital interfaces, usability in emerging technologies. Publication Trends His recent work emphasizes machine learning applications in mobility, blockchain for decentralized systems, and user acceptance of autonomous vehicles. Collaborative projects focus on open-source mobility platforms like MIAAS and trust frameworks for peer-to-peer carsharing. Scientific Contributions CHI '19 Honorable Mention for co-design studies on autonomous vehicles Best Paper Award (2017) for autonomous public transport research Co-editor of "Verbraucherinformatik: Grundlagen und Anwendungsfelder der digitalen Konsumgesellschaft" (2024)

Jochen GüntherView profile

Professor

• Digital Transformation
• Digital Workplace
• Social Business
• +6 more

Prof. Dr.-Ing. Jochen Günther is a full Professor of Business Informatics at Heilbronn University, Germany, where he also serves as Vice-Dean (Prodekan). He is affiliated with the Faculty of Business Informatics and teaches courses such as Social Media, Audiovisual Communication, Digital Business Models, and Digital Leadership. His research focuses on digital transformation, the digital workplace, enterprise 2.0, and agile organizations. University: Heilbronn University School: Faculty of Business Informatics Department: Department of Business Informatics Academic Rank: Professor Email: jochen.guenther@hs-heilbronn.de His research spans key areas in modern digital business, including the digital workplace, social computing, cloud computing, and sustainable digitalization. He investigates how digital technologies reshape work environments, organizational structures, and business models, particularly through collaborative platforms and agile methodologies. His work emphasizes human-centered digital transformation and the integration of technology in knowledge work. The recent publications highlight a strong focus on digital workplace design, cloud computing strategies, sustainability in digitalization, and identity management. These works reflect trends in enterprise digital transformation, with an emphasis on practical implementation, governance, and socio-technical systems. His editorial roles in specialized proceedings indicate active engagement in the informatics research community. Prof. Günther actively supervises bachelor's and master's theses in alignment with his research interests. While no specific grants are mentioned, his leadership in applied research projects like the Cybersecurity Teaching/Learning Lab AITRACQ suggests involvement in funded academic initiatives. His role as CIO of the Faculty of Business further underscores his integration of academic and technological leadership. He leads research initiatives in digital transformation, including the Cybersecurity Teaching/Learning Lab AITRACQ, which focuses on applied cybersecurity education. His work fosters interdisciplinary collaboration between technology and business domains, particularly in the context of digital workplace innovation and secure digital identities.

• Distributed Systems & Applications
• Machine Learning
• Cloud & High Performance Computing
• +3 more

Prof. Dr. Heinz-Josef Eikerling is a full professor at the Faculty of Engineering and Computer Science, Osnabrück University of Applied Sciences, specializing in distributed systems, cloud computing, and mobile applications. His research bridges machine learning and interactive sensor systems with practical education methods. Teaching: Offers courses on distributed systems, algorithms, operating systems, and mobile application development at both bachelor's and master's levels. Research Trends: Focuses on scalable sensor networks, contactless gait analysis, and gaming technology applications in education, with recent work on kinematic estimation and rehabilitation monitoring . Scientific Collaborations: Has co-authored publications with Michael Uelschen, Jaap Buurke, and others, presented at conferences like ICAMPAM , EMBEC , and HEALTHINF . Projects: Led initiatives such as KI Nordwest for industrial posture analysis and Listroots for root damage detection via sensor data. Contact: h.eikerling@hs-osnabrueck.de

• Machine Learning Security
• Adversarial Machine Learning
• AI for Healthcare
• +5 more

Xiaojun Xu is a Professor at the School of Computer Science, Beijing Institute of Technology, with a prolific research career spanning machine learning security, medical AI, and robotics. Their work demonstrates strong interdisciplinary collaboration across computer science, healthcare, and engineering domains. Institution: Beijing Institute of Technology, School of Computer Science Research Focus: AI security, medical imaging, robotics, and remote sensing applications Collaborations: Extensive work with Bo Li (29 papers), Dawn Song (11 papers), and medical researchers Xu's research interests center on adversarial machine learning, with significant contributions to model security, backdoor detection, and LLM unlearning. They've pioneered techniques like Meta Neural Analysis for Trojan detection and developed frameworks for certified robustness. Their medical imaging work focuses on quantitative susceptibility mapping for neurodegenerative diseases, particularly Parkinson's and Alzheimer's. In robotics, they've advanced control systems for quadruped and amphibious vehicles. Recent publications reveal a strong trend toward large language model security, with multiple 2024-2025 papers on machine unlearning and watermarking techniques. Their work bridges theoretical security with practical healthcare applications, particularly in medical image analysis where they've developed tools for subcortical nucleus segmentation and brain age prediction. Key venues: NeurIPS, CCS, IEEE S&P, NeuroImage, IEEE Transactions Research impact: High citation count with consistent top-tier publication record Xu has secured significant research funding, evidenced by the volume and diversity of publications across multiple domains. Their work on blockchain-enabled IoT systems and RAFT-based private blockchain demonstrates expertise in distributed systems. The medical imaging research shows strong hospital collaborations, particularly in developing tools for Parkinson's diagnosis. Current projects appear focused on LLM security challenges and multimodal medical AI systems with potential clinical applications.

• Visual Analytics
• Information Visualization
• Cybersecurity
• +7 more

Graziano Blasilli is an Assistant Professor at Sapienza University of Rome's Department of Computer, Control and Management Engineering within the School of Engineering. With a prolific publication record spanning from 2018 to 2025, he has established himself as a significant contributor to the fields of visual analytics, information visualization, and cybersecurity. His research primarily focuses on applying visualization techniques to complex domains including cybersecurity, healthcare, and business process management. Blasilli's research interests center around visual analytics for cybersecurity, with numerous publications on network security visualization, vulnerability analysis, and cyber situational awareness. He has also made significant contributions to healthcare informatics through visual analytics for network medicine and digital twins. His technical expertise extends to developing visualization frameworks for machine learning interpretability, clustering quality assessment, and process mining. His work consistently bridges theoretical visualization concepts with practical applications in critical domains. His recent publications demonstrate an expanding research trajectory into healthcare digital twins, explainable AI for deep learning, and visual perception-based analysis of clustering algorithms. Blasilli frequently collaborates with researchers including Marco Angelini, Simone Lenti, and Giuseppe Santucci, forming a productive research group at Sapienza University of Rome. His work appears in top-tier visualization venues including IEEE Transactions on Visualization and Computer Graphics, VizSec, EuroVis, and AVI. Blasilli's research has practical implications across multiple sectors, particularly in cybersecurity operations where his visualization techniques help security analysts detect threats and understand complex network behaviors. His work on healthcare applications shows promise for improving clinical decision support systems through better data visualization.

• Software Engineering
• Code Readability
• API Compatibility
• +5 more

Rocco Oliveto is a prominent researcher in software engineering with extensive contributions across multiple domains including code quality assessment, smart contracts, Docker configuration analysis, and healthcare applications of AI. His collaborative work spans numerous institutions, with frequent co-authorship with researchers such as Simone Scalabrino, Gabriele Bavota, and Emanuela Guglielmi. Dr. Oliveto's research interests focus on practical software engineering challenges with emphasis on code readability, API compatibility, bug prediction, and smart contract maintenance. His work bridges theoretical research with practical applications, particularly evident in recent projects applying machine learning to healthcare diagnostics and video game quality analysis. His research demonstrates a consistent trajectory toward addressing real-world software engineering problems with innovative methodological approaches. Analysis of his recent publications reveals a strong trend toward interdisciplinary research, particularly at the intersection of software engineering and healthcare applications. His work shows increasing focus on practical applications of AI in medical diagnostics, rehabilitation technology, and patient monitoring systems, while maintaining strong contributions to core software engineering topics like code quality and developer productivity. The diversity of publication venues—from top software engineering journals like Empirical Software Engineering and ACM TOSEM to healthcare conferences like BIOSTEC—demonstrates the breadth of his research impact. Dr. Oliveto has demonstrated significant research leadership through numerous collaborative projects, particularly evident in his participation in the QualAI project focused on continuous quality improvement of AI-based systems. His work shows consistent funding support through collaborative research initiatives that bridge academic and practical software engineering concerns.

Jakob FrankeView profile

Professor

• Plant Biosynthetic Pathways
• Metabolic Engineering
• Ecosystem Services
• +4 more

Prof. Dr. Jakob Franke is a W2 Tenure Track Professor for the Biochemistry of Plant Specialised Metabolites at the Institute of Botany, Leibniz University Hannover , Germany. He serves as an Emmy Noether Group Leader and Junior Research Group Leader under Prof. Russell Cox, focusing on plant biosynthetic pathways and metabolic engineering. Education: PhD in Chemistry (2011-2015) and MSc in Chemistry (2009-2011) from Ludwig Maximilians University Munich; BSc in Biochemistry (2006-2009) from Technical University Munich. His research bridges plant biochemistry with ecosystem service assessment, particularly in agricultural and coastal environments. Recent work includes standardizing ecosystem condition indicators, modeling pollinator habitats, and evaluating digital agriculture impacts using Bayesian networks. Key article trends (2025-2018) span Environmental Science , Ecology , and Computational Modeling , with subfields like ecosystem accounting, soil biodiversity, marine service mapping, and socio-ecological frameworks. Collaborative projects often involve Prof. Burkhard and teams across Europe, China, and Southeast Asia. Scientific Awards: Emmy Noether Group Leader He has advised on national ecosystem service indicators and contributed to Horizon Europe projects. His lab integrates biochemical research with large-scale environmental modeling, emphasizing sustainability and policy-relevant outcomes.

J. Peter M. SchulerView profile

Part-Time Lecturer

• Information Systems
• Software Engineering
• Digitalization
• +3 more

J. Peter M. Schuler is a part-time lecturer and research assistant at the University of Duisburg-Essen, Faculty of Business and Economics . He specializes in Information Systems , focusing on digitalization, process management , and quality models for hybrid products and sociotechnical systems. His work includes developing semantically structured web solutions for higher education and analyzing IT systems in decentralized organizational contexts. Education: Diplom in Business Informatics (2008), University of Duisburg-Essen. His research explores quality factors in self-tracking solutions , smart connected products , and holistic quality management . He has contributed to the design of microformats for course catalogues and evaluated IT carve-out processes . Articles highlight trends in agile software development , blockchain systems , and user-centered design across disciplines. As a project manager for WIWI-TYPO3 , he leads digital transformation initiatives and chairs committees for habilitation and appointment processes . His supervised theses cover Logistics 4.0, AI voice assistants, and technology ethics , though student names are not explicitly listed.

Maaike HarbersView profile

Professor

• Artificial Intelligence
• Ethics of AI
• Design of Interactive Systems
• +3 more

Maaike Harbers serves as Professor of Artificial Intelligence & Society at Rotterdam University of Applied Sciences, affiliated with the Creating 010 knowledge center and holding a senior lecturer position in the Creative Media and Game Technologies program. Her work bridges AI ethics and design, focusing on responsible integration of intelligent systems through ethical consideration of design choices across process, product, and context. Her academic background includes: PhD in Artificial Intelligence from Utrecht University (2011) Dual master's degrees: MSc in Artificial Intelligence and MA in Philosophy from the University of Groningen (2006) Professor Harbers investigates how designers can responsibly treat AI as design material by addressing ethical implications throughout development cycles. Her research emphasizes value sensitive design , privacy preservation , and power dynamics in sociotechnical systems , developing practical methods like boundary objects and Socratic dialogue to facilitate ethical reflection. Current projects include the Design in the 21st Century and Data Driven Society initiatives within the Creating 010 Privacy Lab. Her publication trajectory (2018-2024) reveals concentrated efforts in operationalizing responsible AI through design interventions, particularly addressing multi-stakeholder dialogue frameworks, power relation materialization, and value tensions in media recommenders. This work demonstrates consistent application of design research methods to translate ethical principles into context-specific AI development practices across media and smart city domains. Scientific Recognition: No awards or fellowships were documented in source materials As an educator, she leads the 'betrokken technoloog' (engaged technologist) curriculum direction, embedding ethical competencies in student training. While specific grant details remain unlisted, her project leadership indicates active research funding engagement. She mentors through design-focused coursework though no formal advisees are named. She actively contributes to the Creating 010 Privacy Lab and collaborative projects including 'Design in the 21st Century' and 'Data Driven Society', working with multidisciplinary teams of designers, ethicists, and technologists to develop practical frameworks for ethical AI implementation in real-world contexts.

• Artificial Intelligence
• Machine Learning
• Internet of Things
• +4 more

Prof. Dr. Peter Loos is affiliated with Saarland University and the Institute for Business Information Systems at the German Research Center for Artificial Intelligence (DFKI). His academic rank is Professor, with research focusing on the intersection of Artificial Intelligence and Business Information Systems . Institution: Saarland University Department: Business Information Systems Academic Rank: Professor Research Interests: Peter Loos explores AI applications in pharmacovigilance ( PVRadar ), mobility-on-demand platforms ( KIMonoS ), ergonomic industrial practices ( ErgoBest ), and production planning ( ExPro ). His work emphasizes human-computer interaction , ergonomic optimization , and machine learning in administrative and industrial contexts. Recent Publications: His 2023–2025 work highlights trends in digital governance , knee posture analysis , and cyber-physical systems . Key themes include transparency in AI-driven public services , wearable sensor integration , and model factory experimentation . Labs & Teams: He collaborates with the Institute for Business Information Systems at DFKI and leads a multidisciplinary research group focused on AI and process modeling.

Golnaz ElmamoozView profile

Research Fellow

• Sensor-based Data Analytics
• Spatio-temporal Data Analytics
• Context-aware Activity Recognition
• +4 more

Golnaz Elmamooz is a Research Fellow at the University of Bamberg, Germany, within the Faculty of Business Information Systems and Applied Computer Science, specifically in the Department of Computer Science (Chair of Mobile Systems). She has held this position since 2016, contributing to the university's research initiatives in mobile systems and data analytics. Education Master of Science in Computer Software Engineering, Islamic Azad University, Najafabad, Iran (2013). Thesis: Predicting Type 2 Diabetes using Bayesian classifiers. Research Interests Her expertise spans sensor-based data analytics with emphases on spatio-temporal data analysis, context-aware activity recognition, and indoor location-based services. She specializes in continuous management of location-based data streams from heterogeneous sensors, integrating these into context-aware applications. Current work focuses on data stream management technologies with practical implementations in smart city infrastructure and precision agriculture systems, enabling real-time environmental monitoring and resource optimization. Scientific Awards No scientific awards or fellowships were documented in the source materials. Advising and Grants Information regarding graduate student supervision, research grants, or funded projects was not provided in the available documentation. Labs and Teams Dr. Elmamooz actively participates in the Chair of Mobile Systems research group at Bamberg University, collaborating on projects including Explanym (explanation systems), Crowdanym (crowd sensing), FutureIOT Living Lab Bamberg (smart environment testing), and SIMUTOOL (simulation tools for mobility applications). These initiatives focus on sensor network deployment, mobility pattern analysis, and context-aware service development across urban and agricultural settings.

Verena S. HoffmannView profile

Researcher

• Clinical Trials
• Prognostic Research
• Systematic Reviews
• +4 more

PD Dr. Verena S. Hoffmann serves as Head of the DIFUTURE Analysis Group at the Institute for Medical Informatics, Biometry, and Epidemiology (IBE) within LMU Munich's Faculty of Medicine, focusing on biostatistical methodology for clinical research. Her career spans roles at Helmholtz Zentrum München and LMU's Department of Infectious Diseases, establishing her as a key figure in medical data science. Her academic foundation includes: High School Diploma (2001) Studies in Statistics at LMU (2001-2003) Data Analysis and Management at University of Dortmund (2003-2006) Interdisciplinary studies in Political Science, Statistics, and Computer Science at LMU (2005-2008) Promotion (PhD) in 2013 Dr. Hoffmann specializes in clinical trial design , prognostic modeling , and systematic reviews with meta-analyses , pioneering distributed analysis frameworks like DataSHIELD for privacy-preserving multi-institutional research. Her work bridges oncology (chronic myeloid leukemia registries) and diabetes research (risk prediction for pediatric type 1 diabetes), emphasizing real-world evidence generation. Analysis of her 2013-2019 publications reveals consistent focus on large-scale registry studies (e.g., EUTOS for CML) and methodological innovation in distributed analytics. She integrates survival analysis with population health metrics across oncology, cardiology, and geriatrics, demonstrating expertise in translating complex statistical models into clinical decision tools. As leader of the DIFUTURE consortium's analysis arm, she directs projects including Multiple Sclerosis and Stroke use cases, alongside the CORIMO initiative for pandemic risk monitoring. Her grant-funded work involves cross-institutional collaboration with Helmholtz Association partners, securing infrastructure for national medical data integration. Her DIFUTURE Analysis Group develops secure computational pipelines for federated data analysis, partnering with German university hospitals to advance precision medicine through privacy-compliant analytics—particularly impactful in rare disease research and public health surveillance.