جست‌وجوی استاد و پژوهشگر

Pingbo Tangمشاهده پروفایل

دانشیار

• Civil Engineering
• Remote Sensing
• Human Systems Engineering
• +۵ مورد دیگر

Pingbo Tang is an Associate Professor in the Department of Civil and Environmental Engineering at Carnegie Mellon University, affiliated with the College of Engineering. He leads the Spatiotemporal Workflows and Resilient Management Laboratory (SWARM Lab). Tang holds a Ph.D. from Carnegie Mellon University (2009), a Master’s in Bridge Engineering from Tongji University (2005), and a Bachelor’s in Civil Engineering from Tongji University (2002). His research focuses on civil infrastructure operations, human systems engineering, and AI-driven solutions for predictive management. Key areas include remote sensing, data analytics, and Human-Cyber-Physical-Systems (H-CPS) in construction and infrastructure (e.g., airports, nuclear plants). He has published over 100 peer-reviewed articles and secured funding from NSF, DOE, NASA, and industry partners. Tang is a leader in professional organizations, including ASCE (Computing Division Chair), TRB (Bridge Management Committee), and ASTM International. He has received prestigious awards, including the NSF CAREER Award (2015), ASCE Halpin Award (2020), and multiple best-paper honors. His work integrates AI, digital twins, and safety innovation, with applications in aviation scheduling (e.g., Alaska Airlines collaborations) and nuclear power plant operations. Tang’s research emphasizes sustainable infrastructure, safety, and interdisciplinary solutions for complex systems.

Azadeh O. Sawyerمشاهده پروفایل

استادیار

• Building Technology
• Lighting Design
• Sustainable Architecture
• +۵ مورد دیگر

Azadeh O. Sawyer is an Assistant Professor in Building Technology at Carnegie Mellon University's School of Architecture, serving as Track Chair for the Master of Science in Building Performance & Diagnostics (MSBPD) and PhD-BPD programs. Her research bridges architecture, engineering, and human perception, focusing on optimizing building envelopes and integrating virtual reality (VR) for evaluating lighting design and occupant comfort. Education: Ph.D. (2019) in Building Technology from the University of Michigan (Taubman College), M.Sc. in Architecture (University of Michigan), M.Des.S. from Harvard University Graduate School of Design, and B.Arch. (2008) from California College of the Arts. Research interests include: evaluating façade design through VR simulations, quantifying user perception of light distribution, and exploring kinetic systems/smart materials for health and circadian rhythm impacts. She emphasizes closing the gap between measured environmental data and human sensory experiences in 'green' buildings. Awards include the Dow Fellowship, Rackham Predoctoral Fellowship, and Harvard’s Daniel L. Schodek Award. Her work has been presented at the International Building Performance Simulation Association conference and published in peer-reviewed venues. Teaching includes courses on daylight simulation with VR (48-692), sustainable design synthesis (48-731/48-732), and thesis guidance for MSBPD students.

Yiqun Panمشاهده پروفایل

استاد مهمان

• Building Performance Simulation
• Energy Efficiency
• Sustainable Building Design
• +۵ مورد دیگر

Dr. Yiqun Pan is a Special Faculty at Carnegie Mellon University's Center for Building Performance and Diagnostics, and a Visiting Professor at Lawrence Berkeley National Laboratory. With 25+ years of experience, she specializes in building performance simulation, energy efficiency, and sustainable design. Her work integrates machine learning and big data to enhance building performance and occupant well-being. Research focuses include low-carbon building technologies, energy flexibility optimization, and carbon reduction strategies. She has led projects funded by the China National Science Foundation and U.S. Energy Foundation. Dr. Pan has authored six books and over 150 publications, including 42 English journal papers. Teaching includes courses on LEED certification, green infrastructure, HVAC systems for low-carbon buildings, and building energy systems integration. Awards include IBPSA Fellow and ASHRAE Membership. She chaired the 2023 Building Simulation Conference, demonstrating global leadership in building science. Her contributions span tool development (e.g., DeST 3.0 simulation platform) and interdisciplinary collaborations. Current work bridges academic research with practical applications, advancing sustainable urban development and zero-carbon building practices.

Azadeh Omidfar Sawyerمشاهده پروفایل

استادیار

• Building Facades
• Daylighting
• Energy Performance
• +۹ مورد دیگر

Azadeh Omidfar Sawyer is an Assistant Professor at the Carnegie Mellon University School of Architecture. Her work bridges architectural design with advanced technologies to enhance building performance and sustainability. Ph.D. in Architecture Building Technology from the University of Michigan (2019) M.S. in Architecture from the University of Michigan Master of Design Studies in Sustainable Design from Harvard University Graduate School of Design B.Arch from California College of the Arts (2008), awarded with distinction Azadeh’s research explores the intersection of building facades, daylighting, energy performance, and immersive virtual reality. She integrates AI and climate resilience into her studies on grid-interactive, high-performance, and electrified buildings, focusing on simulation-based evaluation methods. Scientific Awards Harvard Daniel L. Schodek Award for Technology and Sustainability (2011) California College of the Arts Technology Book Award (2008) Azadeh is a LEED Accredited Professional since 2008 and contributes to advancing sustainable architectural practices through her interdisciplinary research.

Erica Cochran Hameenمشاهده پروفایل

دانشیار

• Building Performance
• Indoor Environmental Quality
• Sustainable Design
• +۱ مورد دیگر

Erica Cochran Hameen is Associate Professor, Co-Director of the Center for Building Performance & Diagnostics, and Doctor of Design Track Chair at Carnegie Mellon University. Her research investigates indoor environmental quality, building performance, and sustainable retrofits with focus on health, energy efficiency, and occupant comfort. Key research areas: Healthy building retrofits for schools Personal comfort modeling HVAC control optimization Post-occupancy evaluation methods Life cycle assessment of building materials Publications demonstrate consistent focus on occupant-centered building performance, with recent advances in sensor-driven thermal comfort modeling, robotics for building assessment, and cross-cultural studies of sustainable materials. Work increasingly integrates machine learning with building science. Recognition includes awards from: American Institute of Architects (AIA) New York Landmarks Conservancy Brooklyn Chamber of Commerce Department of Energy competitions

Dana Cupkovaمشاهده پروفایل

استاد

• Sustainable Design
• Ecological Architecture
• Circular Material Systems
• +۳ مورد دیگر

Dana Cupkova is Professor and Track Chair for the Master of Science in Sustainable Design (MSSD) at Carnegie Mellon's School of Architecture. She directs EPIPHYTE Lab, focusing on ecological relationships between architecture and landscape through thermodynamics, bio-based processes, and advanced manufacturing. Her design approach emphasizes ecological attunement and material circularity using construction waste streams. Her research investigates decarbonization strategies through bio-based material remediation and waste stream reutilization. Cupkova's work has been supported by DOE, Manufacturing Futures Institute, and recognized with ACADIA Teaching Award and ACSA Creative Achievement Award.

Berangere Lartigueمشاهده پروفایل

دانشیار

• Thermal Engineering
• Building Envelope Optimization
• Energy Efficiency
• +۳ مورد دیگر

Berangere Lartigue is an Associate Professor at Paul Sabatier University in Toulouse, France, and a Visiting Researcher at Carnegie Mellon University, where she contributes to the Doctor of Design (DDes) program. Her academic roles include teaching undergraduate courses in heat transfer, thermodynamics, and aerodynamics, as well as developing a graduate-level course on research initiation for the Master’s program in sustainable buildings. Her research focuses on thermal characterization of materials, linking micro-structure to macroscopic thermal properties. She also explores optimization techniques to enhance building envelope performance across energy efficiency, daylighting, and thermal comfort. Additionally, she develops AI-based models to simulate building occupant behavior. Berangere serves as an expert reviewer for European research projects and holds an associate editor position at scientific journals.

James H. Garrett Jr.مشاهده پروفایل

استاد

• Civil Engineering
• Data Mining
• Machine Learning
• +۶ مورد دیگر

James H. Garrett Jr. is the Provost and Thomas Lord Professor of Civil and Environmental Engineering at Carnegie Mellon University. He previously served as Dean of the College of Engineering (2013-2018) and Head of the Department of Civil and Environmental Engineering (2006-2012). Garrett joined CMU in 1990 and has held leadership roles including Associate Dean for Academic and Graduate Affairs (2000-2006). Ph.D., Civil Engineering, Carnegie Mellon University (1986) M.S., Civil Engineering, Carnegie Mellon University (1983) B.S., Civil Engineering, Carnegie Mellon University (1982) Garrett’s research focuses on sensor systems, data mining, and machine learning for civil infrastructure condition assessment. His work spans smart cities, transportation engineering, and structural health monitoring, with applications in HVAC systems, water infrastructure, and bridge diagnostics. He has pioneered methods for integrating BIM with maintenance data and developing intelligent decision support systems. Garrett’s publications emphasize sensor networks, data-driven infrastructure management, and machine learning for anomaly detection in transportation and building systems. His work bridges civil engineering with computational methods, including variational autoencoders for rail monitoring and adaptive graph filtering for bridge diagnostics. Alexander von Humboldt Research Prize (2012) Steven J. Fenves Award for Systems Research (2007) ASCE Computing in Civil Engineering Award (2006) As founding co-director of the Pennsylvania Smarter Infrastructure Incubator and a leader in the Wilton E. Scott Institute for Energy Innovation, Garrett has advanced smart infrastructure through sensor networks and data analytics. He also served as co-chief editor of the ASCE Journal of Computing in Civil Engineering (2008-2013).

Dave Eckhardtمشاهده پروفایل

استاد آموزشی

• Operating Systems
• Computer Networks
• Wireless Networks
• +۵ مورد دیگر

Dave Eckhardt is a Teaching Professor at the Computer Science Department within the School of Computer Science at Carnegie Mellon University. He holds a Ph.D. in Computer Science from the same institution, focusing on wireless network error management and distributed systems. His research interests span Operating Systems Computer Networks Wireless Communication Distributed Systems File Systems Network Protocols Adaptive Error Control Election Security His work often intersects protocol design, network reliability, and security in error-prone environments. His publications, dating from 1996 to 2002, center on wireless link error analysis, adaptive scheduling, and protocol optimization. These studies frequently explore wireless LANs, bursty packet errors, and fairness mechanisms in network resource allocation. Notably, he has advised students on projects like Ben Blum : Concurrency Testing in Kernel Space Greg Hartman : Scalable Reactivity in Systems Qingyang Li : User-Level Page Faults Sanjay Chandrasekaran : IoT Security Gateways Da-Yoon Chung : OpenISR 2.0 Adam Wolbach : Deployability of Distributed Systems Ajay Surie : Mobile Infrastructure David J. Matsumoto : Scheduling in 802.11 As a voting machine security advocate, he has contributed to public discourse on electronic voting integrity and firmware verification. His Erdős number is 5.

• Building Performance
• Building Physics
• Building Information Modeling (BIM)
• +۲ مورد دیگر

Nathan Sawyer serves as Special Faculty and Facilities Director at Carnegie Mellon University's School of Architecture, where he oversees architectural facilities while maintaining an active teaching role in building technology and digital design workflows. His research and pedagogical focus centers on practical applications of building science and computational design tools: Building physics principles and performance simulation methodologies Building Information Modeling (BIM) implementation through Revit workflows Integration of technical knowledge into architectural design studios Architectural technology systems for sustainable building design As Facilities Director, he manages the school's physical resources and technical infrastructure critical for design education. His teaching directly supports the Architectural Technology minor curriculum through hands-on instruction in industry-standard evaluation tools and documentation practices.

Dave Parkerمشاهده پروفایل

استاد مدعو

• Sustainable Architecture
• Building Physics
• Environmental Design
• +۳ مورد دیگر

Dave Parker is an Adjunct Professor in the School of Architecture at Carnegie Mellon University. He teaches 48-733: Environmental Performance Simulation , focusing on building physics, environmentally responsive design principles, and computational approaches to enhance resiliency in architecture while reducing reliance on mechanical systems. Research Interests: Parker’s work emphasizes integrating environmental performance simulation into architectural design to achieve sustainable and resilient built environments. His teaching and research bridge computational methods with ecological design principles, addressing energy efficiency and adaptive building systems. Teaching: Fall 2024 course 48-733 explores computational tools for assessing building performance, with sessions held TR 9:30-10:50am (9 or 12 units). Awards/Grants: No awards or grants explicitly mentioned in the provided text.