جستجوی استاد راهنمای دانشگاهی

Michael D. Smith is a Professor of Information Technology and Public Policy at Carnegie Mellon University, with joint appointments at Heinz College and Tepper School of Business. His research employs economic and statistical methods to analyze digital markets, focusing on firm and consumer behavior in online environments. Education: B.Sc. in Electrical Engineering (Summa Cum Laude), University of Maryland M.Sc. in Telecommunications Science, University of Maryland Ph.D. in Management Science and Information Technology, MIT Research Interests: Professor Smith investigates the economics of digital information markets, consumer behavior in online platforms, and policy implications of technological disruption. His work spans copyright enforcement, digital advertising, and the impact of piracy on legal media consumption. Publications: His recent studies examine AI’s role in copyright policy, effectiveness of anti-piracy measures, and market dynamics in digital streaming. Articles often bridge economics, computer science, and public policy. Awards: National Science Foundation CAREER Award Multiple Best Teacher Awards at CMU Recognized as a Top 100 Emerging Engineering Leader (NAE, 2020) Best Paper Runner-Up (Information Systems Research, 2006) Editorial and Industry Roles: Served as Senior Editor at Information Systems Research and Associate Editor at Management Science . Prior to academia, he worked in telecommunications at GTE and Booz Allen Hamilton, earning a patent for AI applications in network design. Contact: mds@cmu.edu | Office: 4800 Forbes Avenue, Hamburg Hall 2204, Pittsburgh PA 15213

• Information Systems
• Digital Economics
• Consumer Behavior in Online Markets
• +۴ مورد دیگر

Anna Mayo is the Anna Loomis McCandless Assistant Professor of Organizational Behavior at Carnegie Mellon University’s Heinz College. Her research focuses on dynamic teamwork in modern organizations, particularly in healthcare and cross-sector settings. She investigates how teams adapt to fluid participation, technology integration, and volatile environments to enhance productivity and collaboration. Education: Ph.D. & M.S. in Organizational Behavior & Theory, Carnegie Mellon Tepper School of Business B.A. in Psychology, Denison University Research Interests: Mayo explores team coordination, cognitive versatility, and the impact of organizational structures on teamwork efficacy. She combines lab and field studies (e.g., healthcare, sales teams) to address challenges like rapid team formation/dissolution and distributed member roles. Her work emphasizes agility while mitigating risks to team outcomes. Publications: Her research appears in top journals such as Administrative Science Quarterly, Academy of Management Annals, and BMJ Leader. Recent studies address pandemic teamwork dynamics, nursing-physician collaboration, and the role of coordinated attention in group performance. Prior Experience: Before joining CMU, Mayo held roles at Johns Hopkins Carey Business School and worked in nonprofit human services. She teaches Organizational Design & Implementation (Course 94-700).

• Organizational Behavior
• Team Dynamics
• Dynamic Teams
• +۳ مورد دیگر

Mayank Goel serves as an Assistant Professor in the Software and Societal Systems Department (S3D) at Carnegie Mellon University's School of Computer Science. His research bridges computer science and societal impact through practical sensing systems that leverage existing environmental devices for health monitoring and human-computer interaction without requiring hardware modifications. Dr. Goel specializes in mobile computing, signal processing, and machine learning to develop unobtrusive health technologies applicable to real-world scenarios. His core research areas include passive activity recognition for chronic disease management (particularly multiple sclerosis), privacy-preserving acoustic sensing, smartwatch-based clinical interventions for post-operative care, and equitable healthcare systems for global development contexts. He emphasizes end-to-end solutions through close collaboration with medical professionals and designers to ensure immediate deployability outside laboratory environments. Analysis of his 2024-2025 publications reveals a strong interdisciplinary focus spanning computer science, biomedical engineering, and clinical practice. Key trends include longitudinal digital phenotyping for neurological conditions, on-device privacy preservation in activity recognition, and multimodal procedural assistance systems. His work consistently addresses real-world challenges in sensor placement flexibility, user adoption barriers, and equitable access to medical technologies. No scientific awards were mentioned in the available documentation. Information regarding student advising, research grants, or laboratory affiliations was not specified in the provided materials, though his publication record indicates active collaboration with medical professionals and bio-engineers for clinical validation of health technologies.

• Mobile Computing
• Sensing
• Signal Processing
• +۷ مورد دیگر

George Loewenstein is the Herbert A. Simon University Professor of Economics and Psychology at Carnegie Mellon University (CMU), affiliated with the Dietrich College of Humanities and Social Sciences. He holds visiting professorships at the London School of Economics, Arctic University of Norway, and BRIQ Institute at the University of Bonn. His research bridges psychology and economics, focusing on behavioral economics, neuroeconomics, decision-making processes, and policy applications like libertarian paternalism. He has advised governmental bodies (e.g., NIH, USDA) and corporations, contributed to over 300 journal articles, and served on multiple National Academy of Sciences panels. Education: Ph.D. in Economics from Yale University (1985). Research interests include curiosity, mental effort, intertemporal choice, health economics, and conflict of interest. He pioneered fields like behavioral economics and neuroeconomics, advocating for evidence-based public policies. Scientific contributions span behavioral interventions, health policy, and environmental decision-making. Awards include American Academy of Arts and Sciences fellowship and Society for Judgment and Decision Making presidency. Teaching and advising: Over 40 doctoral committees chaired, taught globally in behavioral economics. Active in centers like the Center for Behavioral Decision Research. Key areas of applied work include vaccine promotion, climate change adaptation, and privacy behaviors.

• Behavioral Economics
• Neuroeconomics
• Psychology
• +۹ مورد دیگر

Lauren Herckis is an anthropologist affiliated with Carnegie Mellon University's Simon Initiative, School of Computer Science (Human-Computer Interaction Institute), and University Libraries. Her research focuses on implementation science, faculty culture, educational technology, and sociotechnical systems in higher education. She explores how technology adoption impacts teaching practices and organizational culture, with a particular emphasis on issues like digital literacy, VR pedagogy, and AI-Augmented Learning. Her work is funded by organizations including the National Science Foundation, the Chan Zuckerberg Initiative, and the Hillman Family Foundations. She has held a Fulbright Fellowship and collaborated with institutions such as the U.S. Department of Veterans Affairs and the University of Pittsburgh's Center for Teaching and Learning. Her research methodologies combine ethnography, mixed-methods approaches, and design-based research. Key projects include developing the Digital Robotics Archive and Multimodal Archive Toolkit, analyzing barriers to technology adoption in academia, and designing interventions for workforce readiness in community colleges. She advises students like Rotem Guttman and contributes to initiatives like the CyberSim Lab and AI-literacy programs in academic libraries. Key Awards: Fulbright Fellowship Funding Sources: NSF, CZI, Carnegie Corporation, Hillman Foundations Major Projects: Simon Initiative collaborations, Digital Robotics Archive, AI-Augmented Learning in Community Colleges Her interdisciplinary approach bridges anthropology, education science, and computer science to address challenges in postsecondary education transformation and sociotechnical systems.

• Implementation Science
• Educational Technology
• Anthropology of Technology
• +۷ مورد دیگر

Denise M. Rousseau serves as the H.J. Heinz II University Professor of Organizational Behavior and Public Policy at Carnegie Mellon University's Heinz College of Information Systems and Public Policy and holds a secondary appointment at the Tepper School of Business. She chairs the Health Care Policy and Management program, directs the Project on Evidence-Based Organizational Practices, and holds leadership roles as Academic Board President of the Center for Evidence-Based Management (CEBMa) and Co-Chair of the Campbell Library’s Management and Business Coordinating Group. Her academic credentials include: A.B. from University of California, Berkeley M.A. from University of California, Berkeley Ph.D. in Psychology and Anthropology from University of California, Berkeley Rousseau pioneered the psychological contract theory examining how individual workers' understanding of employment relationships shapes organizational dynamics. Her research spans evidence-based management, worker well-being, career development, organizational effectiveness, change management, and industrial relations. She developed the influential concept of "I-Deals" (idiosyncratic deals) and emphasizes translating research into practice through evidence-based approaches. Her textbook Evidence-Based Management: How to Use Evidence to Make Better Organizational Decisions has been adopted by over 80 universities and forms the basis of an Open Learning Initiative course. Her recent publications (2023-2025) reveal three dominant research streams: multilevel analyses of psychological contracts across team and organizational contexts, applications in emerging work arrangements like gig economy platforms, and methodological advancements in evidence-based management including systematic reviews and meta-analyses. Her work increasingly examines contextual factors like crisis economies and cross-cultural variations while maintaining focus on practical implementation of research findings. Her distinguished recognition includes: Two-time Academy of Management George Terry Award winner (1996, 2006) Distinguished Scholar Award from Academy of Management Lifetime Achievement Award from Society for Industrial/Organizational Psychology Michael Losey Career Award from Society for Human Resource Management Honorary doctorates from Athens University and Tallinn Institute of Technology Fellowships in five major academic associations Through the Evidence-Based Management Collaborative she founded, Rousseau connects global scholars, consultants, and practitioners to advance evidence-informed decision-making. Her grant-funded research has been supported by the National Science Foundation and Institute of Medicine, focusing on organizational effectiveness and evidence-based practices. She previously served as Editor-in-Chief of the Journal of Organizational Behavior (1998-2007) and President of the Academy of Management (2004-2005). As Academic Board President of CEBMa, she oversees the development of evidence-based management resources including learning modules and research databases. Her Project on Evidence-Based Organizational Practices develops frameworks for implementing research findings in real-world settings, while her Campbell Library coordination role advances systematic review methodologies in management research.

• Evidence-based Management
• Psychological Contracts
• Organizational Behavior
• +۴ مورد دیگر

Joel Smith is a Distinguished Career Teaching Professor in the Department of Philosophy at Carnegie Mellon University’s Dietrich College of Humanities and Social Sciences. His career spans philosophy of science, educational technology, and academic leadership, with appointments at The Claremont Graduate University, UCSD, Indiana University, and Allegheny College. Education: Ph.D. in History and Philosophy of Science (University of Pittsburgh, 1987); M.A. in History and Philosophy of Science (University of Pittsburgh, 1984); M.S. in Physics (Baylor University, 1982); B.S. in Physics (Baylor University, 1979); B.A. in Philosophy (Baylor University, 1976) His research focuses on the philosophy of science, cognitive science, and the role of technology in education. He pioneered the integration of information technology (IT) into liberal arts and STEM instruction, emphasizing evidence-based pedagogical strategies. Joel’s publications highlight trends in e-learning systems, productivity in higher education, and the application of cognitive science principles to course design. Key themes include feedback-driven education, technology ecosystems, and cost-effective teaching methods. He has collaborated extensively on grants from the Bill & Melinda Gates Foundation, Hewlett Foundation, NSF, and others to develop projects like the Open Learning Initiative (OLI) and cognitive tutors for statistics education. Joel has led IT services at Carnegie Mellon for 11 years, improving infrastructure for research, teaching, and administration. He continues to teach philosophy while advocating for deep collaboration across disciplines.

• Philosophy of Science
• Educational Technology
• Cognitive Science
• +۳ مورد دیگر

Matthew Lane serves as a Lecturer at the Institute for Strategy & Technology, Carnegie Mellon University, while concurrently holding a strategic advisory role at the Department of Defense's Office of Cost Assessment and Program Evaluation (CAPE). His expertise spans homeland defense, missile defense systems, military force planning, and deterrence analysis for emerging warfighting concepts. Lane's academic credentials include: PhD in Political Science, The Pennsylvania State University (2016) MA in Political Science, The Pennsylvania State University (2012) BA in Political Science and Peace, War, and Defense, University of North Carolina at Chapel Hill (2010) His research focuses on the intersection of political science and operations research in national security contexts, particularly examining great-power competition dynamics, escalation pathways in conflict scenarios, and evidence-based strategic assessment methodologies. Lane's work bridges theoretical political science with practical defense planning requirements. Recent publications demonstrate consistent thematic focus on defense strategy innovation, with significant contributions to scenario design methodologies, multinational military interoperability frameworks, and cost-performance optimization in force planning. His work consistently addresses the practical application of strategic analysis to contemporary defense challenges. No scientific awards are documented in the source material. Lane has led high-impact strategic assessments including the Department of Defense's annual National Defense Strategy evaluation and major analyses of great-power competition, though no formal student mentorship or specific grant funding details appear in the provided information.

• Strategic Studies
• Military Strategy
• Defense Policy
• +۳ مورد دیگر

Baruch Fischhoff is the Howard Heinz University Professor at Carnegie Mellon University, affiliated with the Department of Engineering and Public Policy and the Carnegie Mellon Institute for Strategy & Technology (CMIST). He serves on multiple high-impact committees including the National Academies and NIH Advisory Council, focusing on energy transition, pandemic preparedness, and risk communication. PhD in Psychology, Hebrew University (1975) BS in Mathematics and Psychology, Wayne State University (1967) His research spans decision-making under uncertainty , risk analysis , and science communication across health, national security, and environmental domains. Recent work examines AI-human collaboration , social bot detection , and energy justice frameworks . Key trends in his publications reveal a focus on interdisciplinary risk assessment (2011-2025), cognitive biases in policy-making , and practical science communication strategies . His 2025 works address heuristic decision-making and adaptive research models . Scientific Recognition Andrew Carnegie Fellowship Honorary Doctorate from Lund University National Academy of Sciences & Medicine member Outstanding Mentor Award, College of Engineering As advisor to graduate researchers like Brissa Acevedo (energy justice) and Reyhaneh Mohsenzadeh Yazd (energy storage communication), he bridges disciplines through projects like Ice Preservation Institute and CDC Polio Containment Working Group participation.

• Decision Science
• Risk Analysis
• Science Communication
• +۸ مورد دیگر

Chris Labash is an Associate Professor of Communication and Innovation at Carnegie Mellon University’s Heinz College. He serves as Managing Director of ConsultingLab, a course-lab partnership delivering free consulting services to organizations globally, and is affiliated with the Center for Informed Democracy and Social-cybersecurity (IDeaS). His research focuses on mitigating misinformation through behavioral design, AI-driven communication, and evidence-based strategies. He teaches graduate courses in communications, consulting, and data visualization across CMU’s Pittsburgh and Doha campuses, emphasizing alignment with UN Sustainable Development Goals. Labash’s prior career included roles as Executive Vice President at Ketchum Advertising and Vice President of Global Marketing at Development Dimensions International, alongside extensive consulting and entrepreneurial experience. He advises the Software Engineering Institute and collaborates with venture capital firms on startup initiatives. His current projects explore AI’s role in countering disinformation and designing ethical communication frameworks. ConsultingLab, under his leadership, has completed 56 client engagements since 2014, delivering $15,000+ in free consulting annually. Notable projects include digital twin city frameworks, disaster response analyses, and educational app development. Labash’s teaching philosophy integrates critical thinking, evidence evaluation, and presentation design to prepare students for real-world problem-solving.

• Disinformation Mitigation
• Behavioral Design
• Nudge Theory
• +۴ مورد دیگر

Jeff Galak is an Associate Professor of Marketing at the Tepper School of Business, Carnegie Mellon University, where he has been on faculty since 2009. He holds a PhD, MPhil, and BS in Marketing and Economic Theory from NYU Stern School of Business. His research and teaching focus on consumer behavior, data-driven marketing decisions, and hedonic adaptation. Bachelor of Science in Marketing and Economic Theory, NYU Stern, 2005 Master of Philosophy in Marketing, NYU Stern, 2008 PhD in Marketing, NYU Stern, 2009 Jeff Galak's research centers on understanding how consumers experience enjoyment over time, particularly the decline in pleasure from repeated exposure to stimuli such as food, music, and movies. He also investigates gift-giving behavior, exploring how givers and recipients often misalign in expectations and perceptions. His work emphasizes the importance of using data and evidence over intuition in managerial decision-making. Students consistently praise his ability to make complex topics like regression, cluster analysis, and survey design accessible and relevant to real-world business applications. His recent publications highlight trends in consumer psychology, including hedonic adaptation, social norms in gifting, political ideology in consumption, and the emotional dynamics of receiving and giving. These works reflect a deep engagement with behavioral economics and marketing science. Jeff Galak has been recognized with the Early Career Award from both the Association for Consumer Research and the Society for Consumer Psychology, underscoring his impact in the field of consumer behavior. Early Career Award, Association for Consumer Research Early Career Award, Society for Consumer Psychology He is a dedicated educator and mentor, known for empowering students to apply marketing research in internships and careers. He has advised PhD students, including one he hooded at graduation, and supports students beyond the classroom, such as helping refine research instruments for entrepreneurial ventures. While no specific grants are mentioned, his extensive publication record and leadership in academic climate research suggest active funding and scholarly engagement. His teaching philosophy centers on fairness, clarity, and practical application. Outside research and teaching, Galak is passionate about woodworking, fitness, and SCUBA diving, and values family time with his children.

• Consumer Behavior
• Marketing Research
• Hedonic Adaptation
• +۵ مورد دیگر

Joanna Wolfe is a Professor in the Department of English at the Dietrich College of Humanities and Social Sciences, Carnegie Mellon University. Her work bridges technical communication, equity, and engineering education, focusing on inclusive communication practices and writing in technical disciplines. Education: Ph.D., English, University of Texas at Austin, 2001 M.A., English, University of Texas at Austin, 1997 B.A., English, University of Maryland at College Park, 1991 Her research centers on equity in communication , particularly how women and underrepresented minorities navigate power structures in male-dominated fields like engineering. She investigates technical writing , collaborative writing , and data communication , with a strong emphasis on applied, measurable outcomes in education and industry. Her work explores how technology shapes reading, writing, and teaching practices, especially in digital pedagogy and annotation systems. The 15 most recent publications reveal a sustained focus on team communication , conflict resolution , scientific poster and slide design , and antiracist pedagogy . Her research combines empirical methods with rhetorical analysis to improve communication effectiveness and inclusivity in engineering and technical writing contexts. Scientific Awards: National Council of Teachers of English Award American Association of Engineering Educators Award IEEE Professional Communication Society Award Association for Computing Machinery Award Joanna Wolfe has secured significant recognition for her research, which has influenced both writing studies and engineering education. While no direct students are listed, her work has shaped curricula and pedagogical practices in technical communication. She has led research initiatives such as PGE/RES (Enhancing Women's Experiences with Teamwork) and GSE/RES (Uncovering Tacit Knowledge about Gender and Communication), which examine gender dynamics in technical teamwork. Her future work continues to explore evidence-based strategies for equitable collaboration and communication in STEM fields. She is affiliated with interdisciplinary research teams focused on digital pedagogy, annotation technologies, and inclusive engineering education. Her lab-like initiatives involve developing and testing communication tools and frameworks for diverse teams, particularly in technical and academic settings.

• Equity in Communication
• Technical Communication
• Writing in the Disciplines
• +۱۲ مورد دیگر

Zachary Lipton is an Assistant Professor at Carnegie Mellon University (CMU) jointly appointed in the Tepper School of Business and the Machine Learning Department. He holds courtesy affiliations with the Heinz School of Public Policy and Societal Computing. His research bridges core ML methods, healthcare applications, natural language processing, and critical analysis of AI's societal impacts. Tepper School of Business Machine Learning Department Heinz School of Public Policy (courtesy) Societal Computing (courtesy) Dr. Lipton leads the Approximately Correct Machine Intelligence (ACMI) Lab, focusing on robust ML systems, causal representation learning, and ethical AI development for clinical medicine. He co-founded Abridge, a healthcare AI company, and authored the interactive textbook Dive into Deep Learning . His work emphasizes clear scientific communication through expository efforts like literature reviews and the Approximately Correct blog. Recent publications highlight ACMI Lab's contributions to synthetic data quality, causal fairness analysis, diffusion model hallucinations, and medical LLM adaptation. Key research themes include distribution shift, human-AI alignment, and empirical evaluation of AI's societal impacts. Contact: zlipton@cmu.edu

• Machine Learning
• Artificial Intelligence
• Healthcare Applications
• +۵ مورد دیگر