جست‌وجوی استاد و پژوهشگر

Mark A. Roebkeمشاهده پروفایل

مدرس ارشد

• Human Systems Integration
• Environment Safety and Occupational Health
• Trust and Automation
• +۲ مورد دیگر

Mark A. Roebke serves as a Course Director and Senior Lecturer at the Air Force Institute of Technology (AFIT), School of Systems and Logistics, located at Wright-Patterson Air Force Base, Ohio. He joined AFIT in 2017 and specializes in teaching continuing education courses in Human Systems Integration (HSI) and Environment, Safety, and Occupational Health (ESOH). Dr. Roebke earned his PhD in Industrial and Organizational Psychology and Human Factors Psychology from Wright State University (2021), following a Master's degree in Industrial and Organizational Psychology from St. Cloud State University (2013) and a Bachelor's degree in Psychology from North Dakota State University (2009). His research expertise spans multiple critical domains: Human Systems Integration (HSI) for military applications Environment, Safety, and Occupational Health integration Trust dynamics in human-machine teaming Personnel and workforce optimization Suspicion and trust of automation systems Industrial-organizational psychology applications Dr. Roebke's scholarly work demonstrates consistent focus on the human factors of technological systems, particularly examining how personnel interact with and trust automated systems within military contexts. His publications reveal expertise bridging theoretical psychology with practical military applications. His notable academic achievements include: APS Student Research Award, Honorable Mention (2017) Runner-up for Breakthrough of the Year by Science Magazine (2015) As an educator, Dr. Roebke directs and teaches several key courses: SYS 169: Introduction to Human Systems Integration SYS 196: Integration of ESOH into Systems Engineering SYS 197/198: Integrating ESOH into Systems Engineering guides SYS 269: Intermediate Human Systems Integration Prior to AFIT, he conducted three years of research with the 711th Human Performance Wing on trust and automation, and taught at Wright State University, bringing valuable cross-institutional perspective to his current role.

• Human-AI interaction
• Social networks
• Social learning
• +۱ مورد دیگر

Yaomin Jiang is a Postdoctoral Research Fellow at the Max Planck Institute for Human Development since 2023, specializing in human-machine interaction within the Man and Machine research team. His academic background includes: Doctorate in Psychology (Cognitive Neuroscience) from IDG/McGovern Institute for Brain Research and School of Psychology and Cognitive Science, Peking University (2016-2022) Double Bachelor's Degree in Economics and Psychology from Peking University (2012-2016) Dr. Jiang's research bridges cognitive science and social dynamics, examining how AI systems influence human learning through social networks and cultural transmission mechanisms. His interdisciplinary work integrates computational modeling with experimental approaches to understand emergent human-AI collaborative behaviors. He actively publishes in human-computer interaction and cognitive science domains, with recent contributions exploring cultural evolution frameworks in artificial agent environments. Professional engagement includes: Man and Machine Research Team at Max Planck Institute Collaborations with IDG/McGovern Institute for Brain Research Dr. Jiang maintains an active research profile with publications accessible through Google Scholar and can be contacted at jiang@mpib-berlin.mpg.de .

Victor Klockmannمشاهده پروفایل

استادیار

• Economics and Ethics of Artificial Intelligence
• Behavioral and Experimental Economics
• Game Theory
• +۵ مورد دیگر

Victor Klockmann is a Junior Professor of Microeconomics, specifically focusing on the Economics of Digitization at the University of Würzburg's Faculty of Management and Economics, Department of Economics. He also serves as an Associate Research Scientist at the Center for Humans and Machines, Max Planck Institute for Human Development in Berlin, and is an Affiliated Researcher at the Frankfurt Laboratory for Experimental Economic Research (FLEX) at Goethe University Frankfurt. His academic career spans multiple prestigious institutions with a focus on the intersection of economics, artificial intelligence, and human behavior. PhD in Economics (Dr.rer.pol), Goethe University Frankfurt, 2021 (Summa cum laude) M.Sc. Quantitative Economics, Goethe University Frankfurt, 2018 M.Sc. Mathematics, Goethe University Frankfurt, 2016 B.Sc. Mathematics, Goethe University Frankfurt, 2014 Professor Klockmann's research focuses on the economic and ethical implications of artificial intelligence, behavioral and experimental economics, game theory, and organizational economics. His work examines how new technologies impact organizations and human behavior, the interaction and cooperation between humans and non-human agents, and the future of work in times of technological change. His experimental approach combines theoretical economics with laboratory experiments to understand the nuanced dynamics of human-AI interactions. Analysis of his publications reveals a strong emphasis on ethical considerations in AI deployment, particularly regarding distributional fairness, social preferences toward machines, and intergenerational responsibility. His work spans multiple disciplines, bridging economics, computer science, psychology, and ethics, with a consistent focus on experimental methodologies to generate empirical evidence about human behavior in technological contexts. Scientific Awards and Recognition: External Funding from DFG for Strategic Interactions in Organizational Decision-Making (2024) Funding from Hessian Center for AI for Cooperation with Machines (2023) PhD Paper Award at IAREP/SABE Conference (2019) Prize for Best Master in Quantitative Economics (2019) Professor Klockmann actively supervises bachelor's and master's theses in Business Management, Economics, Business Informatics, and related fields. His research has attracted significant external funding from the German Research Foundation (DFG), the Hessian Center for Artificial Intelligence, and the Leibniz Institute for Financial Research SAFE. His current projects explore strategic interactions with generative AI, cooperation in human-algorithm settings, and the organizational implications of new technologies. He is affiliated with the Man and Machine research team at the Max Planck Institute, where he investigates human-AI interaction dynamics, and contributes to the Frankfurt Laboratory for Experimental Economic Research (FLEX), which specializes in experimental approaches to economic questions. His research environment combines cutting-edge experimental facilities with theoretical economic analysis to address pressing questions about technology's role in society.

Michael Brunمشاهده پروفایل

استاد

• Computational Mechanics
• Structural Dynamics
• Wave Propagation
• +۴ مورد دیگر

Michael Brun is a University Professor at the University of Lorraine, attached to LEM3 Laboratory (UMR CNRS 7239) and Department MMSV, with teaching responsibilities in the Faculty of Mathematics and Computer Science. LEM3 operates as a joint research unit between University of Lorraine, CNRS, and Arts et Métiers, located at 7 rue Félix Savart, Metz. His research specializes in computational structural dynamics, focusing on multi-scale/multi-physics co-simulation techniques for impact/contact analysis, spectral/finite element coupling in soil-structure and fluid-structure interactions, dynamic buckling of thin structures using MAN methods, PML applications for infinite media wave propagation, and earthquake-resistant structural design. This work bridges theoretical mechanics with practical engineering software development. LEM3 Laboratory provides advanced research infrastructure co-financed by the European Union, organized into three departments (MMSV, IMPACT, T-PRIOM) and specialized platforms including MécaRhéo for rheology, MicroMat for microstructure analysis, Procédés for manufacturing processes, and Calcul intensif for high-performance computing.

Nichalin Summerfieldمشاهده پروفایل

دانشیار

• Explainable AI
• Predictive Analytics
• Simulations
• +۳ مورد دیگر

Nichalin Summerfield serves as Associate Professor and M.S. in Business Analytics Program Coordinator in the Operations and Information Systems Department at UMass Lowell's Manning School of Business, leveraging interdisciplinary expertise in quantitative methods and healthcare systems. Education: Ph.D. in Operations Management (2010), Department of Management Information Systems, The University of Arizona M.S. in Management Information Systems (2005), Department of Management Information Systems, The University of Arizona BEE in Electrical Engineering (Honors) (1998), Sirindhorn International Institute of Technology, Thammasat University Research Focus: Her work integrates explainable AI , simulation modeling , and game theory to solve healthcare logistics challenges including patient no-show prediction, substance use disorder treatment optimization, and mobile banking security. Recent methodologies emphasize interpretable machine learning for generating testable hypotheses from complex clinical datasets. Publication Trends: Spanning 2011-2025, her research evolved from foundational operations research (Chinese Postman Problem applications, stochastic programming) toward cutting-edge healthcare analytics, with 2021-2025 publications demonstrating strong emphasis on explainable AI frameworks for medical decision support and financial systems security. Scientific Recognition: Department's Research Excellence Award (2025) Department's Teaching Excellence Award (2022) Runner-up - DSI Regional Best Paper Award (2021) Best Application of Theory Paper Award (2021) Research Leadership: As Co-Principal Investigator for the 2024 Internal Seed Grant on electoral precinct resource allocation and 2017 urban transportation analytics project, she secures funding for real-world problem solving. Current work explores deep reinforcement learning in supply chain optimization , building on prior industry experience at Accenture and NASA's Phoenix Mars Lander software development. Collaborative Networks: Partnerships with University of Massachusetts Medical School and UMass Memorial Healthcare enable translational research, while active participation in Decision Sciences Institute and INFORMS conferences drives methodological innovation in business analytics.