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Stefan SchweigerView profile

Professor

• Process Management
• Service Innovation
• Digitalization in Business
• +4 more

Prof. Stefan Schweiger is a Professor of Business Administration at HTWG Konstanz - University of Applied Sciences, specializing in Industrial Project Planning and Process Management. He holds a Dr.-Ing. and teaches courses such as Materials Management & Process Management (Supply Chain Management 2), Smart Services, and Management of Hybrid Value Creation. His research focuses on service innovation, digitalization in business processes, and sustainable business models. Key areas include customer engagement automation, knowledge management in industrial sectors, and resilience strategies in retail and manufacturing. Teaching Responsibilities: BWB 3: Materials Management & Process Management BWB 6/7 WP: Smart Services BWM 1: Management of Hybrid Value Creation BWM 1/2 WP: Service Innovation BWM 1/2 WP-SoSe: Seminar in Value Creation and Digitization Research Interests: AI-driven service automation and customer collaboration Digital transformation in industrial and retail sectors Sustainability in service innovation and supply chains Knowledge management systems for capital goods industries Gen Z consumer expectations in retail environments Recent Work Trends: His 2023-2025 publications emphasize AI integration in customer service, Gen Z-driven retail changes, and sustainable service models. Over 50% of recent articles focus on digitalization impacts and knowledge-based business models. No scientific awards explicitly mentioned. Advising & Grants: While formal student advisee lists aren't available, his courses suggest active involvement in mentoring students through project-based learning in value creation and digital processes. Research collaborations involve industrial partners in process optimization and service innovation. Labs/Teams: Engaged with HTWG Konstanz's industrial project planning research group, focusing on practical applications of digital tools in SMEs and manufacturing sectors.

Klaus MelchersView profile

Professor

• Personnel Selection
• Applicant Reactions
• Personality Assessment in Work Context
• +7 more

Klaus Melchers is a Professor of Work and Organizational Psychology at Ulm University, where he has held a W3 professorship since October 2012. Previously, he served as an Assistant and Senior Assistant at the Department of Psychology, University of Zurich, from 2003 to 2012. He completed his psychology studies at Philipps-University of Marburg and University College, followed by a dissertation in 2003 on stimulus processing in human learning. His research focuses on key areas in personnel selection, including applicant reactions, personality assessment in work contexts, impression management, and the effectiveness of training. He investigates how candidates respond to various selection procedures, particularly focusing on fairness, transparency, and the impact of digital tools such as video interviews and gamified assessments. The recent publication trends reveal a strong emphasis on technology-mediated interviews, applicant faking, fairness in hiring, and the validity of assessment methods. His work increasingly explores digital transformations in recruitment, including asynchronous video interviews, game-based assessments, and algorithmic bias. Themes such as psychological reattachment to work, mobile device use, and sleep also reflect a growing interest in daily work experiences and well-being. Klaus Melchers frequently collaborates with researchers such as Janine Basch, Benjamin Bill, Nina Merkl, and Martin Kleinmann. His publications appear in top journals like Personnel Psychology , Journal of Business and Psychology , and International Journal of Selection and Assessment . While there is no explicit mention of advising students or receiving awards, his extensive publication record and book chapters suggest active mentorship and leadership in the field. He leads the Department of Work and Organizational Psychology at Ulm University, contributing to both academic research and practical applications in HR diagnostics. His work bridges theory and practice, often addressing real-world challenges in personnel selection and organizational psychology.

Alfred NewenView profile

Professor

• Philosophy of Mind
• Cognitive Science
• Situated Cognition
• +5 more

Prof. Dr. Alfred Newen is a Professor of Philosophy at Ruhr-Universität Bochum since 2007 (W3 since 2010), specializing in philosophy of mind and cognition. He leads the Research Training Group 'Situated Cognition' (DFG-funded) and the Center for Mind and Cognition. His research focuses on embodied cognition, consciousness studies, animal cognition, and emotion attribution. He has held visiting positions at Oxford, Berkeley, and UC San Francisco. Notable awards include the Bennigsen-Förderpreis and the Psychiatry Philosophy Prize. Education: PhD from University of Bonn (1994), Habilitation in Philosophy (2002) Leadership roles: Vice President (2016–2018) and President (2018–2020) of the German Society for Cognitive Science (GK) Key Projects: FOR 2812 'Constructing Scenarios of the Past', ALARM Theory of Consciousness Research interests span animal consciousness, episodic memory, predictive processing, and interdisciplinary cognitive science. He co-authored The Oxford Handbook of 4E Cognition (2018) and frequently publishes in journals like Cognition and Philosophical Psychology . Awards highlight contributions to cognitive science and philosophy, including collaborative work with neuroscientists and empirical researchers.

• Proactive behavior and job crafting
• Work design
• Work-related interventions
• +2 more

Dr. Elisa Lopper is a Researcher in the Department of Occupational Health Psychology at the Faculty of Life Sciences, Humboldt University of Berlin. She completed her PhD in Psychology (Dr. rer. nat.) at Humboldt University from 2018-2023, following a Master of Science in Psychology (2014-2016) and Bachelor of Science in Psychology (2011-2014), all from Humboldt University. Her academic journey includes: PhD in Psychology, Humboldt University of Berlin (2018-2023) Master of Science in Psychology, Humboldt University of Berlin (2014-2016) Bachelor of Science in Psychology, Humboldt University of Berlin (2011-2014) Dr. Lopper's research focuses on: Proactive behavior and job crafting Work design Work-related interventions Stressors-resources-well-being relationships at work Human resource development Her scholarly output demonstrates a consistent focus on how employees can proactively shape their work environments to enhance both well-being and performance. She has developed measurement tools like the Approach-Avoidance Job Crafting Scale and the MotOr scale for teacher motivational orientations. Her methodological approach often employs longitudinal and within-person designs to capture dynamic workplace processes, with a particular interest in reciprocal relationships between job crafting, work engagement, and performance. Dr. Lopper has received research funding from notable sources including the German Research Foundation (DFG) and the Berlin University Alliance. She serves as an ad hoc reviewer for prestigious journals such as Applied Psychology: An International Review, Journal of Personnel Psychology, and European Journal of Work and Organizational Psychology. She is an active member of professional organizations including: European Association of Work and Organizational Psychology (EAWOP) German Society of Psychology (DGPs) Center for Empirical Evaluation Research Her collaborative work spans multiple institutions, with significant contributions to projects examining teachers' resources, work engagement, and instructional quality, as well as interventions targeting employee well-being through physical activity and job crafting.

Janusz SurzykiewiczView profile

Professor

• Health Education
• Resilience and Prevention in Social Behavior
• Counseling and Coaching
• +4 more

Prof. Dr. Janusz Surzykiewicz holds the Chair of Social and Health Pedagogy at the Faculty of Philosophy and Education, Catholic University of Eichstätt-Ingolstadt (since 2021) and serves as Prodekan of his faculty. He maintains academic affiliations with Cardinal Stefan Wyszynski University in Warsaw (since 2008) and has conducted research across Germany, Poland, Italy, and the Vatican through transnational collaborations. Research Focus : Health education with resilience-based prevention for children/adolescents Work-family balance diagnostics and coaching Aggression typologies in youth development Spirituality as a psychosocial resource across demographics Scientific Achievements : 2013 Golden Cross of Merit (Republic of Poland) 2011 Cross of Merit (Germany) 2008 Silver Badge of Honor (Vaterstetten) Publications demonstrate cross-sectoral work in rehabilitation assessment, migration education, and spiritual well-being research spanning 2012-2020. His methodology integrates ICF classification standards with innovative counseling approaches. Academic Leadership : 2021- Present: Chair of Social and Health Pedagogy 2016-2021: Substitute Chair in Social Pedagogy 2008-2016: Professorship in Pastoral Theology and Psychology

Manuela SchulzView profile

Researcher

• Gerontology
• Social Policy
• Sustainability
• +4 more

Manuela Schulz is a Researcher at the Institute for Gerontology (IfG) at the University of Vechta. Her work focuses on social inequality, environmental proactivity, and decision-making processes in aging populations. She holds a B.Sc. in Nursing Science from the Evangelical University of Nuremberg (2016) and an M.Sc. in Gerontology from Friedrich-Alexander University Erlangen-Nürnberg (2019). Prior to her academic career, she worked as a healthcare professional (2014–2017). Her recent research explores topics such as response time effects on decision consistency in aging, agency in later life, and sustainability transitions. Educational Background: B.Sc. Nursing Science, Evangelische Hochschule Nürnberg (2016) M.Sc. Gerontology, Friedrich-Alexander-Universität Erlangen-Nürnberg (2019) Her research interests emphasize interdisciplinary approaches to aging studies, blending sociology, environmental science, and cognitive psychology. Presentations include discussions on social inequality in relocation decisions and environmental proactivity’s role in societal transformation. She is actively involved in the N4 project addressing sustainability in Northwest Lower Saxony. Advising and grants are not explicitly mentioned in the provided text, but her professional trajectory includes roles as a research assistant (2017–2022) and current affiliation with the University of Vechta’s Institute for Gerontology.

Gerald AcknerView profile

Professor

• Human Factors in Automotive Systems
• Driver Assistance Technology
• Human-Machine Interaction (HMI)
• +3 more

Prof. Gerald Ackner is a Professor at the University of Applied Sciences Furtwangen, based at the Tuttlingen campus. His research focuses on human factors in automated driving systems, driver behavior analysis, and human-machine interaction (HMI) design. He specializes in optimizing driver assistance systems, collision warning strategies, and visual attention management in automotive interfaces. His work bridges cognitive science and engineering, with a strong emphasis on improving road safety through better understanding of driver-system interactions. Key research interests include: Design and evaluation of proactive voice assistance systems in automated vehicles Reduction of unnecessary collision alarms through adaptive assistance strategies Analysis of non-driving task engagement in highly automated environments Development of LED-based visual attention guidance systems His publications from 2016-2025 consistently address challenges in automated driving safety, with a thematic focus on: Driver-vehicle interface design Collision avoidance system efficacy Driver behavior under automation Human perception vs. system perception discrepancies He participated in the interdisciplinary UR:BAN-MV research project, contributing to urban mobility HMI design and driver behavior prediction. His work reflects a commitment to both theoretical and applied research in automotive human factors.

• Cognitive Psychology
• Psychophysiology
• Computational Modeling
• +3 more

Dr. Victor Mittelstädt is a Post-doc Researcher at the Chair of Biological Psychology, University of Tübingen, where he investigates cognitive control mechanisms using behavioral and computational approaches. Affiliated with the Faculty of Science, his research bridges cognitive psychology, psychophysiology, and decision neuroscience. Education: Ph.D. in Psychology, University of Freiburg (2018) M.Sc. in Psychology, RWTH Aachen University (2015) B.Sc. in Psychology, University of Ulm (2012) Research Focus: His work centers on cognitive architecture in conflict tasks, including: Dynamic adjustments in distractor suppression and proactive control Neurocognitive mechanisms of task switching and voluntary action Computational modeling of aging effects on conflict processing Cross-modal transfer of cognitive control Awards & Fellowships: Feodor Lynen Research Fellowship (Humboldt Foundation) DAAD Research Grant Scholarly Contributions: He serves as a reviewer for 30+ journals including Journal of Experimental Psychology , Cognition , and Psychological Research , and evaluates grants for the German Research Foundation (DFG). His publications employ advanced methodologies like diffusion modeling and EEG to dissect cognitive processes.

• 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.

• Artificial Intelligence
• Multi-Agent Systems
• Evolutionary Computation
• +4 more

Jörg Denzinger is a Professor at the University of Calgary, Canada, specializing in artificial intelligence, multi-agent systems, and automated testing. His work bridges evolutionary computation, cybersecurity, and game-based simulations, with a focus on emergent behavior and cooperative strategies. Key Research Areas: Multi-Agent Systems, Evolutionary Algorithms, Automated Theorem Proving, Game AI, Data Mining, Cybersecurity, Distributed Systems. Recent Trends: He has concentrated on applying exploratory evolutionary testing to security policy optimization, using deep learning for medical imaging, and modeling emergent coordination in self-organizing systems. Scientific Contributions: Developed frameworks for combining security mechanisms and testing multi-agent systems. Explored decentralized control in water distribution networks and adaptive risk management. Contributed to code reuse tools like Jigsaw and structural correspondence analysis.

• Quality of Experience (QoE) of Internet applications
• Artificial intelligence and machine learning for communication networks
• Measurement and analytics of encrypted network traffic
• +5 more

Prof. Dr. Michael Seufert is a Full Professor and Chairholder at the University of Augsburg since October 2023, leading the Chair of Networked Systems and Communication Networks within the Faculty of Applied Computer Science. Previously, he served as a Private Lecturer at the University of Würzburg and completed his Habilitation in Computer Science there in 2023. His academic journey includes a PhD in Computer Science from the University of Würzburg (2017) with a thesis on Quality of Experience and Access Network Traffic Management of HTTP Adaptive Video Streaming, which earned him two prestigious Best Dissertation Awards. His research focuses on Quality of Experience (QoE) of Internet applications, artificial intelligence and machine learning for communication networks, measurement and analytics of encrypted network traffic, and data-driven proactive user-centric network management solutions. His work bridges theoretical foundations with practical applications in network monitoring, security, and performance optimization. Recent research has increasingly incorporated machine learning techniques to address challenges in network management, traffic analysis, and user experience assessment. Prof. Seufert's publication record shows a clear evolution from foundational work on QoE modeling and HTTP adaptive streaming toward more sophisticated applications of machine learning in network operations. His recent publications (2023-2025) demonstrate a strong emphasis on practical ML applications for network monitoring, security, and optimization, with particular attention to real-world constraints and performance requirements. The research spans multiple subfields including encrypted traffic analysis, explainable AI for network management, edge computing, and quality assessment for emerging applications. CNOM Young Professional Award of the IEEE Communications Society (ComSoc) Technical Committee on Network Operations & Management (CNOM) (2024) Best Dissertation Award 2018 of KuVS (Communication and Distributed Systems) special interest group Best Dissertation Award of the IEEE Communications Society (ComSoc) Technical Committee on Network Operations & Management (CNOM) Prof. Seufert actively supervises research projects and advises students through thesis projects and practical modules. His teaching portfolio includes Communication Systems, Management of Communication Networks, Practical Introduction to Internet-Technologies, and seminars on Networked Systems. He leads a research group focused on networked systems and communication networks, with current projects exploring machine learning applications in networking, as evidenced by the organization of the 3rd International Workshop on Machine Learning in Networking (MaLeNe 2025).

• Cognitive ergonomics
• Human factors
• Stress analysis
• +5 more

Dr. Emad Alyan serves as a Researcher in the Experimental Ergonomics department at the Leibniz Research Centre for Working Environment and Human Factors Dortmund (IfADo), where he has been employed since April 2022. Previously, he worked as a post-doctoral researcher at Universiti Teknologi PETRONAS in Malaysia from August 2021 to March 2022, following his PhD completion. His research integrates neuroscience, engineering, and ergonomics to understand human cognitive processes in real-world environments. Dr. Alyan's educational background includes a Doctor of Philosophy (Ph.D.) in Electrical and Electronics Engineering from Universiti Teknologi PETRONAS (2021), a Master of Science in Computer & Communication Engineering from Universiti Malaysia Perlis (2016), and a Bachelor of Engineering in Biomedical Electronic Engineering from the same institution (2014). His primary research interests focus on cognitive ergonomics and human factors , with specialization in stress analysis using physiological measures. Dr. Alyan has pioneered methodologies using EEG and eye blink metrics to assess cognitive workload in driving simulations and workplace environments. His work bridges neuroscience and practical applications in transportation safety and workplace design, with particular attention to how age differences affect neural responses during complex tasks. Analysis of Dr. Alyan's publication record from 2023-2025 reveals a strong focus on real-world neuroscience applications. His research consistently examines the relationship between eye blink patterns and EEG activity as biomarkers for cognitive states. The publications demonstrate a progression from basic measurement techniques to advanced signal processing methods for real-world applications, with significant implications for driver safety monitoring systems and workplace ergonomics assessment tools. As a researcher at IfADo, Dr. Alyan collaborates with Prof. Dr. Edmund Wascher (Head of Department) and works within the Experimental Ergonomics team under the broader Ergonomics research division. His work contributes to the institute's mission of improving working conditions through scientific research on human factors and ergonomics.

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.

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.

Andrea CominolaView profile

Assistant Professor

• Smart Water Networks
• Water and Energy Demand Modeling
• Leakage and Anomaly Detection
• +12 more

Andrea Cominola is Assistant Professor for Smart Water Networks at Technische Universität Berlin, Faculty V – Mechanical Engineering and Transport Systems, and affiliated with the Einstein Center Digital Future (ECDF). He leads the Smart Water Networks research group, focusing on data-driven solutions for sustainable urban water systems. His work integrates machine learning, behavioral modeling, and digital transformation to enhance water security and resilience. His research interests include: Smart Water Networks and digital transformation of utilities Water and energy demand modeling Leakage and anomaly detection in cyber-physical systems Behavioral modeling and socio-technical interactions Interpretable machine learning for climate adaptation Urban water management under climate change His recent publications (2023) focus on flood adaptation behaviors in the US, long-term water demand changes in Southern California, and global digital transformation in water utilities. These works highlight trends in data-informed decision-making, equity in climate resilience, and the role of regulation and technology in sustainable infrastructure. Scientific contributions include: Interpretable ML for flood insurance behavior Multi-dimensional analysis of water demand under stressors Global survey on digital water transformation He advises a team of research assistants and PhD candidates, and leads initiatives like the AWMCA lecture series and the CID podcast. He is committed to open science, public engagement, and interdisciplinary collaboration. His lab emphasizes multi-scale, multi-sector urban modeling and open-access research dissemination.