جست‌وجوی استاد و پژوهشگر

Norman Sadehمشاهده پروفایل

استاد

• cybersecurity
• online privacy
• Human-AI Interaction
• +۱۱ مورد دیگر

Norman Sadeh is a Professor in the School of Computer Science at Carnegie Mellon University (CMU), where he has made significant contributions to cybersecurity, privacy, and AI research. He has co-founded and co-directed several groundbreaking graduate programs at CMU, including the Privacy Engineering Program (2012-present), the Ph.D. Program in Societal Computing (2003-2013), and the MBA track in Technology Strategy and Product Management (2005-2017). Carnegie Mellon University, School of Computer Science Software and Societal Systems Department CyLab Security and Privacy Institute Manufacturing Futures Institute Dr. Sadeh received his Ph.D. in Computer Science at CMU with a major in Artificial Intelligence and a minor in Operations Research. He holds an M.Sc. in computer science from the University of Southern California and a BS/MS degree in electrical engineering and applied physics from the Free University of Brussels (Belgium) as 'Ingénieur Civil Physicien.' Professor Sadeh's research spans cybersecurity, online privacy, Human-AI Interaction, AI governance, mobile computing, the Internet of Things, user-oriented machine learning, and language technologies. He is particularly known for his pioneering work on AI-based privacy enhancing technologies, including privacy assistants, automated privacy compliance tools, and NLP-based privacy solutions. His work has influenced the design of privacy features at major technology companies including Apple, Google, and Facebook/Meta, as well as privacy policies at regulatory agencies like the Federal Trade Commission and the California Office of the Attorney General. Analysis of his recent publications shows a strong focus on practical privacy solutions, particularly in mobile and IoT contexts, with an emphasis on making privacy more usable and understandable for end users. His work bridges technical innovation with policy implications, addressing both the technological and human aspects of privacy protection. 2018 Outstanding Entrepreneur of the Year award from the Pittsburgh Venture Capital Association Test of time award by the AAAI Conference on Web and Social Media (ICWSM) Gartner Group's Magic Quadrant leader in Security Awareness Computer-Based Training for 4 consecutive years Deloitte's Technology Fast 500 recognition for 3 consecutive years Professor Sadeh has advised numerous students, including PhD candidates like Aerin (Shikhun) Zhang, whose dissertation focused on understanding diverse privacy attitudes. His research has been funded through various grants, including NSF SaTC projects, and has resulted in technologies that protect tens of millions of users worldwide. He also founded Wombat Security Technologies, which was acquired by Proofpoint in 2018 and whose technologies are used by over 75% of Fortune 100 companies. Professor Sadeh leads several research initiatives including the Privacy Engineering Program, the Usable Privacy Policy Project, the Personalized Privacy Assistant Project, and CMU's Privacy Infrastructure for the Internet of Things. His Mobile Commerce Lab and E-Supply Chain Management Lab have produced influential research that has been commercialized by major organizations including IBM, Raytheon, Boeing, and the U.S. Army.

• Strategic use of IT
• Business-to-business commerce
• Business value of information technology
• +۵ مورد دیگر

Tridas Mukhopadhyay is the Deloitte Consulting Professor of e-Business at Carnegie Mellon University's Tepper School of Business, where he has served on the faculty since 1986. His academic journey at CMU progressed from Instructor of Information Systems (1986-1987) to Assistant Professor (1987-1993), Associate Professor (1993-1997), Professor (1998-present), and Deloitte Consulting Professor of e-Business (2000-present). He also served as Director of the MS in Electronic Commerce program from 1999-2004. Ph.D. in Computer and Information Systems, University of Michigan–Ann Arbor, 1987 M.B.A. in Computer and Information Systems, Indian Institute of Management Calcutta, 1981 B. Tech. in Electrical Engineering, Indian Institute of Technology Kharagpur, 1978 Professor Mukhopadhyay's research spans multiple critical areas in information systems and technology management. His work on strategic IT use examines how organizations derive business value from information technology investments. He has conducted extensive research on business-to-business commerce, particularly focusing on e-procurement systems, web-based marketplaces, and electronic intermediation models. His cybersecurity research investigates the economic aspects of cyber security, including liability mechanisms and patch release strategies. In software engineering, he has studied productivity, quality metrics, and offshore software development contracts. His most recent publications reveal several key trends in his research trajectory. There's a growing focus on digital platform economics, examining advertising models, virtual currency systems in gaming, and sharing economy dynamics. His work increasingly incorporates behavioral aspects, studying how users respond to personalized content and how backers exert control in crowdfunded projects. Methodologically, his research employs sophisticated analytical approaches including hierarchical Bayesian models, structural equation modeling, and natural experiment designs. CART Research Frontier Award, Carnegie Mellon, 2005 Distinguished Ph.D. Alum, Michigan Business School, 2004 Best Paper, International Conference on Information Systems, 2001 Best Paper, MIS Quarterly, 1995 Xerox Research Chair, Tepper School of Business, 1988-1989 Information Systems Society Distinguished Fellow, 2012 Professor Mukhopadhyay has served on numerous editorial boards including Information Systems Research (1994-2003), Management Science (1999-2003), and MIS Quarterly (1997-1999), demonstrating his significant contributions to the field. His consulting work with major organizations including Alcoa, Chrysler, Ford, General Motors, IBM, and governmental agencies like the United States Post Office and Pennsylvania Turnpike has provided practical insights that inform his academic research. He has been actively involved in university governance through committee service including the Business Technology Faculty Search Committee and the CMU Faculty Senate. His research has been supported through various industry partnerships and academic grants, though specific grant details aren't provided in the source material. His teaching focuses on Business Computing and Strategic IT courses, reflecting his expertise in both foundational information systems concepts and strategic applications of technology in business contexts.

Haohan Wangمشاهده پروفایل

استادیار

• Trustworthy Machine Learning
• Computational Biology
• Healthcare Applications
• +۵ مورد دیگر

Haohan Wang is an Assistant Professor at the University of Illinois Urbana-Champaign's School of Information Sciences, with affiliations to the Carl R. Woese Institute for Genomic Biology and the National Center for Supercomputing Applications. His research focuses on developing trustworthy machine learning methods for computational biology and healthcare applications , emphasizing robustness , causality , and interpretability in vision-based models. Recent research trends in his work include: Large Language Model interactions with biomedical challenges (GenoAgent, GenoTex) Adversarial security in language and vision models (Guard, Jailbreakzoo) Genomic data analysis through robust machine learning frameworks (Precision Lasso, Kernel Mixed Models) Interactive toolkits like Robustar for data annotation and model training Scientific awards include recognition as Baidu's Top 50 AI+X Rising Young Scholars (2022), Best Paper Honorable Mention at WSDM 2023, and Broad Institute's Next Generation status (2019). Current projects explore AI-made scientists for biomedical discovery and Robustar development for GUI-based robust vision learning.

Hong Shenمشاهده پروفایل

استادیار

• Social Computing
• Human-Centered AI
• Responsible Computing
• +۵ مورد دیگر

Hong Shen is an Assistant Professor in the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University's School of Computer Science, where he directs the CARE (Collective AI Research and Evaluation) Lab and participates in the CMU-NIST Cooperative Research Center on AI Measurement Science & Engineering (AIMSEC). Education: PhD from University of Illinois at Urbana-Champaign Research Interests: Dr. Shen is an interdisciplinary scholar at the intersection of human-computer interaction, artificial intelligence, and public policy. His work examines the social, ethical, and policy implications of digital platforms and algorithmic systems, with core focus areas in Social Computing , Human-Centered AI , Responsible Computing , Ethics and Policy , Research through Design , and Tools and Programming . His research emphasizes community-centered approaches to AI development and governance. Publication Trends: His 2025 publications reveal strong interdisciplinary convergence across AI ethics, participatory governance, and real-world AI deployment. Key themes include public involvement in algorithmic decision-making, reparative justice frameworks for AI harms, risk management in AI content work, and cross-cultural studies of algorithmic labor. The work consistently bridges technical AI development with social science methodologies and policy implications, particularly in community-university partnerships and healthcare contexts. Scientific Awards: Best Paper Award at HCOMP'24 (2024) for "Investigating What Factors Influence Users’ Rating of Harmful Algorithmic Bias and Discrimination" Google Research Scholar Award in Human-Computer Interaction (2024) Microsoft Research AI & Society Fellow (2024) for "Supporting the Responsible AI Red-Teaming Human Infrastructure" Best Paper Award at CHI'23 (2023) for "Understanding Frontline Workers’ and Unhoused Populations’ Perspectives on AI Used in Homeless Services" Advising and Funding: Dr. Shen advises graduate students Jini Kim, Ningjing Tang, Alice Qian Zhang, and Qing Xiao. His research is supported by significant grants including multiple National Science Foundation awards (including July 2025 funding for participatory AI design with behavioral health services), Amazon Research, Cisco Research, Google Research, Microsoft Research, The Public Interest Technology University Network, Block Center for Technology and Society, and CyLab. Recent grants focus on community-centered AI toolkits and mental health organization partnerships. Labs and Teams: He leads the CARE Lab, which develops collective approaches to AI research and evaluation, and actively contributes to AIMSEC's mission of advancing human-centered AI measurement science through CMU-NIST collaboration. His lab emphasizes participatory methods and infrastructure for ethical AI development.

Hakan Erdogmusمشاهده پروفایل

استاد آموزشی

• Software Engineering
• Empirical Software Engineering
• Agile Software Development
• +۳ مورد دیگر

Hakan Erdogmus is a Teaching Professor of Software Engineering at Carnegie Mellon University’s Silicon Valley Campus, affiliated with the College of Engineering’s Electrical and Computer Engineering Department. He holds an adjunct faculty position at the University of Calgary’s Department of Computer Science. Education: Ph.D. in Telecommunications, INRS-Université du Québec (1994) M.S. in Computer Science, McGill University B.S. in Computer Engineering, Bogaziçi University Research Interests: Dr. Erdogmus specializes in the economics of software engineering, value-based software engineering, agile methodologies, empirical studies of software practices, and software quality measurement. His work emphasizes quantitative decision-making frameworks and test-driven approaches to enhance software development processes. Awards and Recognition: Recipient of the Eugene L. Grant Award (2003) from the American Society for Engineering Education 2016 Dean’s Early Career Fellowship for groundbreaking research Former Editor-in-Chief of IEEE Software and current associate editor of the Journal of Empirical Software Engineering Professional Contributions: Erdogmus has organized international conferences (e.g., XP 2010, CASCON 1997/2006) and served on over 50 program committees. His keynote addresses, such as at the Universidad Nacional del Litoral (Argentina), focus on adapting engineering education to millennial learning styles and emerging technologies.

Mary Shawمشاهده پروفایل

استاد

• Software Architecture
• Value-Based Software Engineering
• End-User Software Engineering
• +۶ مورد دیگر

Mary Shaw is the A.J. Perlis Professor of Computer Science at Carnegie Mellon University's School of Computer Science (SCS), with a joint appointment at the Software Engineering Institute (SEI). She co-founded the SEI and served as Chief Scientist (1984-1987). Research Focus: Software architecture, value-based software engineering, end-user software engineering, and software reliability modeling. Education: Pioneered software engineering education frameworks and graduate curriculum guidelines. Grants: Involved in NSF-CCF-0438929, NSF-CCR-0325273, and Sloan Software Industry Center projects. Scientific Awards: National Medal of Technology and Innovation Stibitz Computer Pioneer Award Warnier Prize (1993) Fellow of IEEE Computer Society and AAAS Publications Trends: Recent work spans AI ethics in software, design space theory, adaptive systems, programming language philosophy, and empirical software research. She emphasizes bridging theoretical research with practical applications through projects like Vitruvius for software architecture and EUSES for end-user programming tools.

• Multi-Agent Systems
• Human-Robot Interaction
• Game Theory
• +۷ مورد دیگر

Katia Sycara is a Research Professor at Carnegie Mellon University's Robotics Institute, part of the School of Computer Science. She also holds the Sixth Century Chair (part-time) in Computing Science at the University of Aberdeen, UK. Her research focuses on multi-agent systems, human-robot interaction, game theory, and adversarial reasoning. She leads the Advanced Agent-Robotics Technology Lab and has developed frameworks like the RETSINA multiagent infrastructure. Education: B.S. in Applied Mathematics (Brown University), M.S. Electrical Engineering (University of Wisconsin), Ph.D. Computer Science (Georgia Tech), Honorary Doctorate (University of the Aegean, 2004). Research interests include semantic web services, agent interoperability, crisis response systems, and negotiation support. She has pioneered work on the DAML-S language for semantic web services and contributed to the OASIS UDDI standard. Notable awards include the 2002 ACM SIGART Agents Research Award and AAAI Fellowship. She has led multimillion-dollar projects funded by DARPA, NASA, AFOSR, and ONR, focusing on applications like autonomous robotics, urban search and rescue, and enterprise integration. Awards: ACM SIGART Autonomous Agents Research Award (2002) AAAI Fellow (2002) IEEE Fellow (2013) Outstanding Alumnus (University of Wisconsin, 2005) Grants and Projects: Command and Control of Multi-Robot Teams (ONR) Games on Graphs (MURI/ONR) Urban Search and Rescue (NASA) Labs/Teams: Director of Advanced Agent-Robotics Technology Lab and contributor to the Semantic Web Science Association.