جست‌وجوی استاد و پژوهشگر

Anna Jobinمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• AI Ethics
• Digital Society
• +۵ مورد دیگر

Anna Jobin is a Senior Researcher at the Humboldt Institute for Internet and Society (HIIG) since 2021, where she analyzes Artificial Intelligence as a sociotechnical institution in the international research project "Shaping 21st Century AI – Conflicts and Development Pathways in Media, Politics and Research". She also serves as president of the extra-parliamentary Federal Media Commission and is an active member of the Swiss Young Academy, the ethics working group of the Association of Internet Researchers, and the Swiss Association for STS. Her educational background: PhD in sociology, information management, and economics from the University of Lausanne, focusing on the social dimensions of algorithmic systems. Jobin's research centers on the social and ethical aspects of digitization, with a focus on Artificial Intelligence, citizen science, and online advertising. She critically examines AI ethics guidelines and the political regulation of AI, exploring how AI is shaped across media, politics, and scientific discourse as a sociotechnical phenomenon. Analysis of her recent publications shows a consistent focus on AI governance, including subnational and federal policy, the contingent formation of AI, and ethical challenges in citizen science and IoT. Her work bridges sociology, technology studies, and policy analysis to understand the societal implications of AI. She is integral to HIIG's "Evolving Digital Society" research program and leads the consortium for the "Shaping 21st Century AI" project. Additionally, she contributes to the Swiss Internet Governance Forum and the Swiss Young Academy, fostering interdisciplinary dialogue on digital society.

Hendrik Sendمشاهده پروفایل

استاد

• Innovation Management
• Open Innovation
• User Innovation
• +۵ مورد دیگر

Hendrik Send is Professor at HTW Berlin University of Applied Sciences and Project Leader for the 'Internet-enabled Innovation' research area at the Humboldt Institute for Internet and Society (HIIG). His work bridges academic research with practical applications in digital innovation, focusing on user-driven and community-based approaches across energy, AI, and organizational contexts. His educational background includes Physics studies, a Diploma in Electronic Business from UdK Berlin, and a PhD from Universität St. Gallen investigating Innovation-Communities and idea generation. Send's research centers on Innovation Management and Open Innovation , with rapidly growing expertise in AI's organizational impact . Current projects examine generative AI in workplaces, people analytics, and smart energy systems, emphasizing employee empowerment amid surveillance concerns. His work uniquely connects co-determination frameworks with digital transformation, addressing tensions between autonomy and algorithmic control in German labor contexts through empirical studies of knowledge workers. Analysis of his 2021-2025 publications reveals a decisive pivot toward AI-human collaboration in knowledge work, featuring generative AI case studies and people analytics implementations. Earlier research (2017-2019) established foundations in open business models and energy user innovation, showing consistent methodology in community-driven design. His interdisciplinary approach spans computer science, labor economics, and innovation theory with strong empirical grounding in German organizations. No scientific awards were documented in source materials. Send secures major third-party funding including DFG's Open! project on collaborative design (with TU Berlin/Grenoble), innogy Foundation's Smart Energy User Innovation , and current generative AI initiatives. While student advisees aren't explicitly listed, his 15+ collaborative publications since 2021 indicate active mentorship. He frequently partners with Georg von Richthofen and Sonja Köhne on labor-AI intersections. As core member of HIIG's Innovation, Entrepreneurship & Society group, he co-organizes workshops like the 'KI in der Arbeitswelt' series with IG Metall and Spreehub, directly engaging labor representatives in shaping AI governance frameworks through initiatives like the 'Mitbestimmtes People Analytics' project.

Mark Harmanمشاهده پروفایل

استاد

• Search Based Software Engineering
• Software Testing
• Program Analysis
• +۳ مورد دیگر

Mark Harman is a part-time Professor of Software Engineering at University College London's Department of Computer Science within the Faculty of Engineering Sciences, while working full-time as a Research Scientist at Meta Platforms in the Instagram Product Performance team. He previously served as head of Software Engineering at UCL and director of its CREST centre from 2006 to 2017 before joining Meta when his startup Majicke was acquired in 2017. Harman's research spans multiple domains of software engineering, with particular emphasis on Search Based Software Engineering (SBSE), which he co-founded in 2001. His work has evolved to include LLM-based software engineering, software testing, program analysis, and bias mitigation in machine learning systems. He has made significant contributions to automated testing through systems like Sapienz and WW that have been deployed at scale at Meta. His publication record shows a clear evolution from traditional software testing and analysis toward increasingly sophisticated integration of machine learning techniques. Recent work demonstrates strong focus on addressing fairness challenges in ML systems, improving test reliability in continuous integration environments, and exploring the applications of large language models in software engineering tasks. This reflects both his ability to identify emerging challenges and his commitment to practical, industry-relevant research. IEEE Harlan Mills Award (2019) ACM Outstanding Research Award (2019) Fellowship of the Royal Academy of Engineering (2020) Harman maintains a unique bridge between academia and industry, having co-founded the Simulation-Based Testing team at Meta and previously directing UCL's CREST research centre. His work on Sapienz grew from his startup Majicke and has had significant industrial impact while maintaining strong academic foundations. He frequently participates in academic conferences as both contributor and committee member, demonstrating ongoing commitment to the research community despite his industry position. At Meta, Harman works within the Instagram Product Performance team, building on his earlier work with the Simulation-Based Testing team where he co-developed platforms for client- and server-side testing. His research on cyber-cyber digital twins represents an innovative application of simulation techniques to virtual software systems rather than physical ones.

Jingyi Wangمشاهده پروفایل

استادیار

• Software Engineering for AI
• Formal Methods
• Security
• +۴ مورد دیگر

Jingyi Wang is an Assistant Professor at Zhejiang University (ZJU), China, leading the IS2 (Intelligent System Security) Lab. He holds a US-equivalent tenure-track position and has established himself as a prominent researcher in software engineering for AI and formal methods applied to security. His educational background includes: Bachelor's degree from Xi'an Jiaotong University (2013) PhD from Singapore University of Technology and Design (2018) Research Fellow at National University of Singapore (2019-2020) Wang's research focuses on developing principled methodologies for building trustworthy AI models and secure systems. His work spans testing, verification and repair of AI models/systems, AI safety and security, and formal reasoning of security. He has developed innovative approaches for neural network testing, verification, and repair, with particular emphasis on explainability, fairness, and robustness. His publication record shows a clear progression from foundational work on concolic testing (2018) to increasingly sophisticated methods for evaluating and improving AI systems, with recent focus on large language models and decentralized identity systems. His research bridges formal methods with practical software engineering challenges in AI security. His notable achievements include: Two ACM SIGSOFT Distinguished Paper Awards (ICSE 2018 and 2020) ACM SIGSOFT Research Highlights Best Paper Award Runner-up at IEEE TDSC 2024 Wang actively contributes to the research community as Program Committee member for top conferences including CCS, ICSE, ISSTA, ASE, WWW, and AAAI. He serves as PC Co-chair for ICFEM 2025, Large Model Safety Workshop 2025, and SAC-SVT 2026. His leadership in the IS2 Lab demonstrates his commitment to advancing intelligent system security through rigorous research.

Bernd Irlenbuschمشاهده پروفایل

استاد

• Experimental Economics
• Business Ethics
• Organizational Economics
• +۴ مورد دیگر

Bernd Irlenbusch is Professor of Corporate Development and Business Ethics at the University of Cologne, where he serves as Speaker of the Center for Social and Economic Behavior (C-SEB) since 2023. He is a Principal Investigator in the Cluster of Excellence ECONtribute: Markets and Public Policy since 2019 and has been Professor in the Department of Management since 2010. Previously, he held positions as Reader at the London School of Economics (2005-2010) and Assistant Professor at the University of Erfurt (2000-2004). His educational background spans multiple disciplines: Computer Science (Diplom Informatiker, 1992), Economics (Diplom Volkswirt, 1994), and Business Administration (Diplom Kaufmann, 1996), culminating in a PhD from the University of Bonn in 2000, for which he received the Heinz Sauermann Dissertation Prize. He completed his Habilitation in 2004 at the University of Erfurt. Irlenbusch's research centers on experimental investigations of ethical behavior, organizational design, and economic decision-making. His work examines how social norms, image concerns, and behavioral biases influence (un)ethical choices in organizational contexts. He specializes in designing controlled laboratory experiments to study corruption, cooperation mechanisms, incentive structures, and the impact of AI on moral decision-making. His research often employs cross-cultural methodologies, as demonstrated in his multi-national bribery studies across 18 countries. His publication portfolio reveals consistent focus on behavioral foundations of economic decision-making, with increasing attention to technological influences on ethics in recent years. The research trajectory shows evolution from foundational work on cooperation mechanisms and tournament behavior to contemporary investigations of AI's impact on honesty and cross-cultural corruption patterns. Heinz Sauermann Dissertation Prize (2002) IZA Research Fellow since 2003 Member of scientific advisory board of the association of German compliance managers Irlenbusch leads significant research initiatives including the Center for Social and Economic Behavior (C-SEB) and participates in the Reinhard Selten Institute. His work receives funding through Germany's Excellence Strategy, particularly through the ECONtribute Cluster of Excellence. He has established collaborations across multiple disciplines including psychology, economics, and computer science to address complex questions about ethical behavior in organizational contexts. His recent work on AI-generated advice indicates forward-looking research directions addressing emerging technological challenges to ethical decision-making.

• Virtual Reality
• Human-Computer Interaction
• Rehabilitation Technology
• +۳ مورد دیگر

Simon Hoermann is a researcher with extensive contributions to virtual reality, human-computer interaction, and immersive technology applications. His work spans disciplines including rehabilitation, education, and emergency response training through serious games and XR systems. Affiliation: University of Otago Research interests focus on: Virtual reality for motor rehabilitation Collaborative human-agent interaction in immersive environments Passive haptic feedback systems Serious games for education and therapy Recent publications include 15 articles (2017-2025) examining: VR psychotherapy environments with virtual supporters XR for firefighter training and volcanic hazard education Large language model ethics and bias mitigation Biomechanical locomotion interfaces Avatar-based collaboration systems Hoermann contributes to: Systematic reviews in VR rehabilitation Design frameworks for prosocial XR applications Human factors analysis in immersive training

Thomas Kirschsteinمشاهده پروفایل

استاد

• Logistics Management
• Supply Chain Sustainability
• Operations Research
• +۴ مورد دیگر

Introduction Prof. Dr. Thomas Kirschstein is a Professor at Martin Luther University Halle-Wittenberg (MLU), affiliated with the Faculty of Law, Economics and Business, and a researcher at the Center for Economics of Materials (CEM), Fraunhofer-Zentrum IMW. His work focuses on logistics, emission management, and robust statistical methods. He holds a PhD in Economics (2014) and a habilitation in eco-oriented logistics management (2020). Education 2002–2003: Diploma in Mathematics at MLU 2003–2008: Diploma in Economics at MLU 2014: PhD in Economics (thesis: 'Integrated Supply Chain Planning in Chemical Industry') 2020: Habilitation (thesis: 'Papers on the Eco-oriented Management of Logistics Operations') Research Interests Kirschstein's research integrates logistics and environmental sustainability, including emission reduction in freight transport, robust statistical methodologies, and supply chain optimization. His work combines simulation-based planning with empirical analysis, addressing challenges in complex production networks and intermodal transportation. Awards and Recognition Christian Wolff Award (2020) for habilitation thesis Werner Kern Award (2013/2014) for production management research Best Paper Award (2013) from the Faculty of Law and Business Administration Teaching and Academic Contributions He teaches courses in production management, logistics, and data science. Notable roles include: Lecturer: 'Production & Logistics' (2014–2019) Organized conferences like Logistics Management 2019 and Robust Statistics 2014 Labs and Collaborations Active collaborations with Dow Olefinverbund GmbH and Fraunhofer IMW, focusing on integrated logistics systems and robust estimator development.

• Database Systems
• Data Management
• Machine Learning
• +۴ مورد دیگر

Tova Milo is a leading academic in database systems and data management at Tel Aviv University. Her research focuses on advancing automated data analysis, machine learning, and efficient data management techniques. She has contributed to systems like LINX (language-driven data exploration), TabEE (tabular embeddings explanations), and DPClustX (differentially private clustering explanations). Her work bridges database theory and practical applications, addressing challenges in fraud detection, crowdsourcing, and large language model utilization. Key contributions include: Development of systems for automated data exploration (e.g., ATENA, LINX) Foundations for explainable AI in databases (FEDEX, TabEE) Algorithms for category tree construction and cost-effective data processing Techniques for photo archiving under storage constraints She has received the 2022 TCDE Impact Award and actively contributes to top venues like SIGMOD, VLDB, and ICDE. Her research emphasizes balancing theoretical rigor with real-world applicability.

• Political Sociology
• Security Studies
• Biopolitics
• +۵ مورد دیگر

Sven Opitz is a Professor at the Department of Sociology, Philipps University of Marburg, specializing in political sociology and social analysis. He leads subproject C12 on pandemic situations and has held visiting positions at institutions like VU Amsterdam and the University of Edinburgh. His work bridges sociology, legal theory, and biopolitics. PhD in Sociology (summa cum laude), University of Basel (2010) M.A. in Political Science, Sociology, and Modern German Literature, University of Hamburg (2003) Research focuses on biopolitics, epidemic space, temporal governance, and symbiosis in biosocial contexts. He examines how security dispositifs and technological infrastructures mediate social and ecological relationships, particularly during pandemics. His recent publications analyze epidemic ecologies, pandemic preparedness, and the spatial politics of disease control. Articles explore topics like digital pandemic modeling, health security infrastructures, and temporal politics in law and economy. Scholarship from Evangelisches Studienwerk Villigst (2005) Scholarship from Landesstiftung der Hansestadt Hamburg (2004) Opitz is co-editor of Soziale Systeme and collaborates with institutions like SYNMIKRO. He has organized international conferences on topics such as security dispositifs, epidemic ecologies, and Bruno Latour’s theories.

• Fashion Marketing
• Retail Management
• Sales Forecasting
• +۵ مورد دیگر

Prof. Dr. Peter Bug is a Professor of Fashion Marketing & Retail Management and Dean of Studies for the B.Sc. International Fashion Retail program at Reutlingen University. He holds a Diplom in Business Cybernetics and a PhD in Business Management from the University of Stuttgart. His career includes roles as a research assistant at the Institute for Textile and Process Engineering Denkendorf, management consultant for adidas France/Central, and independent sales forecasting advisor. He leads the Professorship for Fashion Marketing & Retail Management, overseeing teaching areas like Industry Projects, Fashion Forecasting, and International Retail Studies. His research focuses on the intersection of fashion, film, and digital marketing. Notable projects include analyzing moving images' impact on consumer behavior, fashion diffusion trends, and omnichannel retail strategies. He has authored/co-authored over 30 publications, including the 2020 Springer book Fashion and Film: Moving Images and Consumer Behavior , which explores how cinema, social media, and video content shape fashion consumption. Recent article trends emphasize digital transformation in fashion retail (e.g., AR/VR applications, e-commerce video strategies) and consumer behavior in niche markets (e.g., sneaker resale, luxury rental). His work bridges academic research with industry needs, addressing topics like predictive analytics in sales forecasting and brand film storytelling. Bug collaborates with industry partners on projects like InBiO (bio-based car interiors) and MoTraScha (adaptive seating for disabled youth). He heads the Market Research Lab at Texoversum and supervises numerous student excursions to study global retail practices.

Christopher Eibelمشاهده پروفایل

پژوهشگر

• Energy-Aware Systems
• Distributed Systems
• Operating Systems
• +۵ مورد دیگر

Christopher Eibel is a Researcher at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander University Erlangen-Nuremberg (FAU). He specializes in energy-aware systems, distributed computing, and middleware design. His work focuses on optimizing energy efficiency in dynamic applications, heterogeneous computing environments, and real-time systems. His research includes projects such as BATS (tracking wildlife via sensor networks), E³ (energy-aware execution environments), and SEEP (symbolic execution for energy optimization). He has contributed to frameworks like Empya (energy-efficient middleware) and Albatross (profit-driven HPC runtime systems). Eibel has published extensively on topics like energy-aware programming, cloud computing, and heterogeneous cluster management. Notably, his work on Strome (energy-aware data-stream processing) won the Best Paper Award at DAIS 2018. He has supervised multiple theses on energy-efficient systems and middleware. He has taught courses on distributed systems and cloud computing since 2013, focusing on practical exercises and master’s seminars. His lab collaborates on projects involving high-performance computing, sensor networks, and operating system-level optimizations.

• High-Performance Computing
• Parallel Computing
• Power Management
• +۳ مورد دیگر

Barry Rountree is a researcher affiliated with Lawrence Livermore National Laboratory (LLNL), specializing in High-Performance Computing (HPC), Power Management, and Parallel Computing. His work focuses on optimizing energy efficiency, fault tolerance, and performance in large-scale supercomputing environments. He has contributed extensively to the development of tools and frameworks for power-aware scheduling, hardware overprovisioning, and visualization performance optimization. Key research interests include HPC system design, processor manufacturing variability, and energy-efficient algorithms. Rountree has collaborated with institutions like NERSC and Intel on projects involving exascale computing challenges and resource management strategies. His publications span conferences such as SC, IPDPS, and ICS, emphasizing practical solutions for scalable and sustainable HPC systems. Notable contributions include the SpackNVD vulnerability audit tool, the msr-genie framework for processor register navigation, and adaptive power management strategies for visualization applications. His work highlights interdisciplinary approaches to addressing computational challenges in science and engineering domains.

• High-Performance Computing
• Parallel Computing
• Data Compression
• +۴ مورد دیگر

Kento Sato is a researcher specializing in High-Performance Computing (HPC), with a focus on checkpointing systems, data compression, and parallel computing optimization. His work addresses challenges in fault tolerance, algorithmic efficiency, and resource management in large-scale computing environments. Collaborating with institutions like the Joint-Laboratory of Extreme Scale Computing, he explores trade-offs between compression efficiency and hardware costs, as well as automatic variable identification for checkpointing. His contributions span theoretical advancements and practical implementations, with notable publications in venues such as SC, IPDPS, and the International Journal of High Performance Computing Applications. Key Research Themes: Checkpointing protocols, lossy compression for scientific data, HPC workflow optimization. Long-term Collaboration: Regular co-authorship with experts like Satoshi Matsuoka and Martin Schulz. Publications consistently highlight innovations in fault tolerance mechanisms, adaptive hardware design, and scalable algorithms for machine learning and distributed systems.

Kai Riemerمشاهده پروفایل

استاد

• Information Systems
• E-Collaboration
• Social Capital
• +۷ مورد دیگر

Kai Riemer is a Professor at the University of Münster , affiliated with the School of Business and Economics and the Department of Information Systems . His research focuses on Information Systems, E-Collaboration, Social Capital in digital contexts, and Unified Communications. Key projects: DOMINO (Dynamic Organizational Management for Inter-firm Networks, 2001-2003) and IT for Administration and E-Government (2006-2010) His recent publications (2019-2008) explore: Collaboration in the Digital Age Conceptual frameworks for Virtual Organizations Enterprise Social Networking applications Microblogging in professional contexts Unified Communications systems Supervision includes multiple Master's and Bachelor's theses on Digital Humans, Social Capital metrics, and Fintech sectors. Research spans E-Commerce, Supply Chain Management, and ICT-enabled organizational design.

Elmar Bittnerمشاهده پروفایل

پژوهشگر

• Theoretical Physics
• Quantum Gravity
• Statistical Mechanics
• +۳ مورد دیگر

Elmar Bittner is a theoretical physicist and Researcher at the Institute for Theoretical Physics (ITP) at the University of Heidelberg. He also serves as the administrator of the institute's computer network. His academic background includes a PhD in Physics from Vienna University of Technology (2001) and a Dipl.-Ing. (equivalent to MSc) from the same institution (1998). He has held postdoctoral positions at the Institute of Atomic and Subatomic Physics in Vienna and the University of Leipzig, where he also served as Akademischer Rat (Senior Lecturer) and Head of IT. His research focuses on quantum gravity, lattice models of two- and four-dimensional systems, phase transitions in statistical mechanics, and Monte Carlo simulation techniques. Notable contributions include studies on vortex dynamics in lattice Higgs models, eigenvalue spectra in QCD, and the development of parallel tempering algorithms. Bittner has also explored applications of statistical physics to social phenomena, such as football goal distributions. His publications span topics like Ising model dynamics, critical phenomena, and random matrix theory. He has collaborated with institutions such as the University of Leipzig, Brunel University, and INFN (Italy), contributing to international conferences and workshops. Despite no listed awards, his work reflects significant contributions to theoretical physics and computational methods. Bittner’s roles include managing the ITP’s technical infrastructure, reflecting his dual expertise in theoretical physics and computational administration.