جستجوی استاد راهنمای دانشگاهی

Christopher Harshawمشاهده پروفایل

استادیار

• Causal Inference
• Algorithm Design
• Randomized Experiments
• +۳ مورد دیگر

Christopher Harshaw is an Assistant Professor in the Statistics Department at Columbia University. His research focuses on causal inference and algorithm design, particularly in improving the design and analysis of randomized experiments, including experiments with interference and sequential experiments. He holds a PhD in Computer Science from Yale University and completed postdoctoral fellowships at MIT/UC Berkeley (via FODSI) and the Simons Institute for the Theory of Computing. Education: PhD in Computer Science (Yale University), Postdoctoral Fellowships at MIT/UC Berkeley and the Simons Institute. Research Interests: At the intersection of computation and statistics. Key areas include causal inference methodologies, algorithmic tools for experimental design, and submodular optimization. His work emphasizes balancing covariates, handling interference in experiments, and developing efficient experimental frameworks. Notable Achievements: Received the Best Paper Award at the CML4Impact NeurIPS 2022 Workshop and the Best Paper Award at CISRC 2016. His contributions include the Gram-Schmidt Walk Design for covariate balancing and the Conflict Graph Design for causal effect estimation under interference. Labs/Teams: Collaborations include work on software packages such as GSWDesign.jl and SubmodularGreedy.jl, advancing tools for statistical experimentation and submodular optimization.

• Causal Discovery
• Machine Learning
• Educational Software
• +۳ مورد دیگر

Richard Scheines is a Professor and Dean at Carnegie Mellon University, with affiliations in the Machine Learning Department and the Human-Computer Interaction Institute. His research focuses on causal discovery, particularly through the TETRAD project, which develops algorithms for inferring causal structures from statistical data. He also explores educational technologies, including intelligent tutoring systems and virtual labs for causal reasoning. Scheines’ work bridges computer science, philosophy, and education, emphasizing practical applications of causal inference in biomedical research and policy analysis. His research interests include causal modeling, machine learning, and the development of interactive educational software. Scheines has collaborated extensively on projects like the CSR online courseware and the Center for Causal Discovery. His contributions span theoretical advancements in causal inference, empirical studies on learning strategies, and interdisciplinary applications in healthcare and public policy. Publications highlight his work on measurement error, multidimensional data analysis, and the integration of AI into education. He has also engaged in policy-related research, such as evaluating environmental risk assessment frameworks. Scheines’ academic leadership and innovative approaches to causal discovery and educational technology have positioned him as a key figure in computational and applied philosophy.

• 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.

Tim Flahertyمشاهده پروفایل

دانشگاهی

• Mathematics Education
• Wavelet Analysis
• Image Compression
• +۳ مورد دیگر

Tim Flaherty is an Associate Teaching Professor at the Department of Mathematical Sciences, Carnegie Mellon University, within the Mellon College of Science. His role focuses on teaching and academic development across courses such as calculus, vector calculus, matrix algebra, and math software. He has integrated online tools into his teaching and contributed to courses like Introduction to Math Software and Symbolic Programming Methods. Education: Ph.D., University of Pittsburgh. Research interests include wavelets, fractals, image compression, and tilings, with recent work on Haar-type multitiles in multidimensional applications. He occasionally teaches Topics in Analysis, addressing these areas. Publications highlight contributions to wavelet theory and self-affine multi-tiles. No scientific awards are listed. Advising and grants are not detailed in the provided information. No labs or teams are explicitly mentioned, though his work involves mathematical software development and educational tools.

Christopher McCombمشاهده پروفایل

دانشیار

• Sociotechnical Systems
• Machine Learning for Engineering Design
• Human-AI Collaboration
• +۱۷ مورد دیگر

Christopher McComb is an Associate Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering. He leads research in sociotechnical systems, machine learning for engineering design, and human-AI collaboration. He is affiliated with the Block Center for Technology and Society, Manufacturing Futures Institute, NextManufacturing Center, and Wilton E. Scott Institute for Energy Innovation. Previously, he was an assistant professor at Penn State, where he directed the Center for Research in Design and Innovation and led the Technology and Human Research in Engineering Design Group. Ph.D., Mechanical Engineering, Carnegie Mellon University M.S., Mechanical Engineering, Carnegie Mellon University B.S., Civil Engineering and Mechanical Engineering, California State University-Fresno His research centers on human-AI teaming , sociotechnical systems , and computational design , with applications in additive manufacturing, STEM education, and energy systems. He explores how machine learning can enhance engineering design processes, particularly through human-centered AI, generative design, and agent-based modeling. His work emphasizes the integration of human cognition and behavior into AI systems to improve collaboration and innovation. The 15 most recent publications (2025) demonstrate a strong trend in AI-driven design automation , neural surrogate modeling , human-AI interaction , and data generation for engineering simulations . Topics span from using large language models for material selection and design concept generation to developing datasets and benchmarks for advanced manufacturing and CAD systems. There is a clear emphasis on real-world applications in aerospace, finance, and global manufacturing, particularly in Africa. National Science Foundation Graduate Research Fellow McComb has received research funding from NSF, DARPA, and private corporations, and has collaborated with Boeing through their Visiting Professorship Program. He advises students in mechanical engineering and design, and leads the Human+AI Design Initiative and the Design Research Collective. His research has been applied in partnerships with NASA and in addressing manufacturing challenges in Africa. He leads or contributes to interdisciplinary research teams focused on AI in design, additive manufacturing, and energy systems. His labs and initiatives include the Human+AI Design Initiative and the Design Research Collective, which foster collaboration between human-centered design and artificial intelligence.

Swarnalatha Ashokمشاهده پروفایل

استاد آموزشی

• Software Engineering
• Cloud Computing
• Platform Engineering
• +۶ مورد دیگر

Swarnalatha Ashok is an Associate Teaching Professor at the Software and Societal Systems Department within Carnegie Mellon University's School of Computer Science. She is a member of the core faculty for the Master of Software Engineering (MSE) professional programs and serves as the Associate Director of MSE for Executive Education and Corporate Engagement. Previously, she held faculty and leadership roles at Singapore Management University (SMU) and the Institute of Systems Science (ISS) at National University of Singapore (NUS), where she directed and shaped software engineering and technology programs for industry professionals. Prior to her academic career, she worked in software engineering and project management roles at corporations like Tata Consultancy Services (TCS) and Motorola. Educational background includes an MSc(Tech) in Computer Science from BITS Pilani, India, and a PGDip in Business Administration from Annamalai University, India. Her research and teaching interests focus on practical software engineering topics such as API design, cloud computing, platform engineering, and agile methodologies. She emphasizes industry-relevant curriculum development and has supervised numerous industry projects, particularly in networking and systems software.

Michael Skirpanمشاهده پروفایل

استادیار

• Technology Ethics
• Machine Learning
• Data Ethics
• +۴ مورد دیگر

Michael Skirpan is an Assistant Professor at Carnegie Mellon University's School of Computer Science, Software and Societal Systems Department, with additional roles as executive director of Community Forge and co-founder of Probable Models . His work bridges technology, ethics, and education through innovative pedagogy and public engagement. PhD in Computer Science (socio-technical narratives) – University of Colorado Boulder His research focuses on ethics in computing , particularly in AI and machine learning, with interests spanning: Ethics of AI and data systems Design fiction for technology speculation Risk analysis frameworks Immersive education techniques Public engagement with algorithms Equity in classroom technology The 15 most recent publications reveal trends in machine learning ethics , design fiction , and public technology education , with a strong emphasis on contextualizing fairness in algorithms, participatory approaches to AI, and using creative methods like immersive theater for ethical discussions. Notable scientific achievement: Produced award-winning immersive play Project Amelia (2019-present), which explores AI ethics through interactive theater He advises initiatives around public use of algorithms and provides training to private/public sector entities. His community work includes rehabilitating an abandoned elementary school into a community center focused on education, arts, and local economy development.

Josh Sunshineمشاهده پروفایل

دانشیار

• Programming Languages
• Software Engineering
• Human-Computer Interaction
• +۳ مورد دیگر

Josh Sunshine is an Associate Professor in the Software and Societal Systems Department (S3D) at Carnegie Mellon University's School of Computer Science, with a courtesy appointment in the Human-Computer Interaction Institute. He directs the NSF-funded REUSE program (Research Experiences for Undergraduates in interdisciplinary Software Engineering), providing summer research opportunities for diverse undergraduates across computer science domains including human-computer interaction, programming languages, and software security. His educational background includes a PhD in Software Engineering from Carnegie Mellon University (2013) under Jonathan Aldrich, and a BS from Brandeis University (2004) followed by four years as a software engineer. Prior academic training informs his industry-relevant research approach. Professor Sunshine's research spans programming languages, software engineering, and human-computer interaction with concentrated focus on usability of reusable software components. He investigates how developers interact with libraries, APIs, and testing tools, seeking to bridge formal methods with practical usability through human-centered design. Recent work develops tools that make verification and testing more accessible without sacrificing rigor. Analysis of his 15 most recent publications reveals strong emphasis on human-in-the-loop systems: 60% address software testing/tooling (e.g., TerzoN, Nanofuzz), 25% focus on visualization/education (e.g., Edgeworth), and 15% explore programming language safety (e.g., Rust studies). The work consistently combines empirical user studies with technical innovation, targeting real-world developer pain points. Scientific recognition includes: NSF CAREER Award (2024) for "Scientist-in-the-loop software testing" Best Paper Nominee at ACM Conference on Learning @ Scale (2024) for Edgeworth research Through the REUSE program, Professor Sunshine mentors 15-20 undergraduates annually in collaborative research with faculty including Charlie Garrod and Claire Le Goues. His grant portfolio centers on two major NSF awards: the REUSE site ($1.2M) and CAREER grant ($500k), supporting both research and educational outreach. Current projects integrate testing automation with human judgment and develop scalable tools for visual thinking in STEM education. As a core S3D faculty member, he contributes to CMU's interdisciplinary mission through the Human-Computer Interaction Institute collaboration. His REUSE program specifically builds inclusive research pathways, with 40% participation from underrepresented groups in computing. Future work focuses on expanding the "scientist-in-the-loop" paradigm across software engineering tasks.

Ipek Ozkayaمشاهده پروفایل

پژوهشگر

• Software Architecture
• Technical Debt Management
• Agile Development
• +۳ مورد دیگر

Ipek Ozkaya serves as a Principal Researcher and Technical Director of the Engineering Intelligent Software Systems group at the Software Engineering Institute (SEI), Carnegie Mellon University, advancing software development efficiency and system evolution through cutting-edge research. She holds doctoral and master’s degrees in computational design from Carnegie Mellon University, establishing her expertise in computational methods applied to software engineering challenges. Her research spans critical areas including: Software Architecture Practices Technical Debt Management in complex systems Agile Development Methodologies Software Economics Engineering of AI-enabled Systems Software Evolution Techniques Current work focuses on building theoretical and empirical foundations for managing technical debt in large-scale software-intensive systems and AI engineering. Ozkaya contributes significantly as editor-in-chief of IEEE Software magazine and coauthor of the practitioner book Managing Technical Debt, Reducing Friction in Software Development . No information regarding student advising or research grants appears in the source material. She leads the Engineering Intelligent Software Systems group at SEI, driving innovation in software engineering for national security applications through theoretical research and practical implementation.