جستجوی استاد راهنمای دانشگاهی

James C. Hoe is Professor of Electrical and Computer Engineering at Carnegie Mellon University (College of Engineering). He is on sabbatical at MangoBoost and directs research in computer architecture, reconfigurable computing, and high-level hardware design. Education Ph.D., Electrical Engineering and Computer Science, MIT (2000) M.S., Electrical Engineering and Computer Science, MIT (1994) B.S., Electrical Engineering and Computer Science, UC Berkeley (1992) Research Interests Professor Hoe’s work spans computer architecture , reconfigurable computing , FPGA architectures , and high-level hardware synthesis . His group created the CoRAM abstraction for virtualized FPGA computing and leads efforts in power-efficient accelerators, in-network computing, and security-oriented FPGA systems. Scientific Awards IEEE Fellow (2013) Intel Outstanding Researcher Award (2021) Research Funding & Projects Intel / VMware Crossroads 3D-FPGA Academic Research Center – co-leading exploration of FPGA roles in future datacenters. DARPA BRASS program ($2.7 M, 4 years) – ensuring long-lived software systems remain robust to resource changes. Pigasus open-source IDS – world’s fastest FPGA-accelerated intrusion-detection system (100 Gb/s on one server). Labs & Teams He heads activities within the Computer Architecture Lab at Carnegie Mellon (CALCM) , supervising graduate researchers on CoRAM++, SPIRAL autotuning, and FPGA overlays for stream processing.

• Computer Architecture
• Reconfigurable Computing
• High-Level Hardware Design and Synthesis
• +۴ مورد دیگر

Franz Franchetti is the Kavčić-Moura Professor of Electrical & Computer Engineering at Carnegie Mellon University. He serves as Associate Dean for Research and Director of the Engineering Research Accelerator at CMU. Education: Ph.D. in Computational Mathematics (Vienna University of Technology, 2003) M.Sc. in Technical Mathematics (Vienna University of Technology, 2000) His research interests focus on automatic performance tuning and program generation for emerging parallel computing platforms , including multicore CPUs , GPUs , and 3DIC chip design . He leads the SPIRAL effort to automate highly optimized software libraries and explores domain-specific compiler transformations in HPC applications for smart grids and material sciences . Recent work extends SPIRAL to quantum computing . The scientific awards Franchetti has received include the Gordon Bell Prize (2006) , HPC Challenge Class II Award (2010) , and the CIT Dean's Early Career Fellowship (2013) . He and his students have won multiple Best Paper Awards at HPEC, DAC, and ISPA ACM TODAES Best Paper (2014) Student Research Competition wins (PACT 2024, CGO 2023) Franchetti has advised students like Richard Veras and Thom Popovici . He has secured significant grants from agencies such as DARPA, DOE, NSF, and industry partners (Intel, NVIDIA, Mercury). He co-founded SpiralGen, Inc. and holds leadership roles in organizations like ASciNA Western Pennsylvania and as Honorary Consul of Austria in Pittsburgh.

• High-Performance Computing (HPC)
• Parallel Computing
• Algorithm and Hardware Co-Synthesis
• +۵ مورد دیگر

David Garlan is a Professor at the Software and Societal Systems Department within the School of Computer Science at Carnegie Mellon University , where he also serves as Associate Dean for Master’s Programs . He received his Ph.D. from Carnegie Mellon in 1987 after working in industry as a software architect. His research focuses on controlling complexity in large software systems through formalized architectural design, self-adaptive systems, and cyber-physical systems. He developed AcmeStudio , a widely used architecture design environment, and pioneered formal representation and analysis of software architecture. Education : Ph.D. in Computer Science (Carnegie Mellon, 1987) Research Interests include: Software Architecture: Formal methods for architectural design, end-user composition, and architectural styles Self-Adaptive Systems: Stochastic planning, model checking, security adaptation, and uncertainty reduction Cyber-Physical Systems: Multi-view design methods, consistency checking, and automotive systems Recent Article Trends address microservice resiliency, hybrid planning (combining formal methods and ML), simulation-augmented robotics, and sustainable machine translation. Themes include stochastic modeling , probabilistic verification , and adaptive decision-making . Scientific Awards : Stevens Award Citation (2005) ACM SIGSOFT Outstanding Research Award (2011) Allen Newell Award for Research Excellence (2016) IEEE TCSE Distinguished Education Award (2017) Nancy Mead Award (2017) Fellow of IEEE and ACM Advising and Grants : He has advised 25+ graduate students and collaborated on projects with Toyota and the Software Engineering Institute. His work includes model-based adaptation, automated planning, and formal verification of adaptive systems. Labs & Teams : Affiliated with the Institute for Software Research and works on tools like AcmeStudio, Rainbow, and IPL for architectural modeling and self-adaptation.

• Software Engineering
• Software Architecture
• Self-Adaptive Systems
• +۴ مورد دیگر

Xu Zhang is an Assistant Professor in Electrical and Computer Engineering at Carnegie Mellon University's College of Engineering. He directs the Zhang Lab, focusing on atomically precise 2D materials (e.g., graphene, tellurium) for nanoelectronic/photonic devices in computing, sensing, energy, and healthcare. His research bridges metamaterials, neuromorphic systems, and scalable nanofabrication. Zhang holds a PhD from MIT and BS from USTC, with honors including MIT Technology Review's Innovators Under 35 (2022), NSF CAREER Award (2023), and multiple MIT fellowships. His group's recent work demonstrates programmable mid-infrared metasurfaces, high-mobility tellurium photodiodes, and kirigami-actuated optical systems for biomedical imaging and AR/VR. Advisees include Kevin St. Luce, Yibai Zhong, and Tianyi Huang. Zhang has secured research funding from NSF and industry partners.

• Nanoelectronics
• Nanophotonics
• 2D Materials
• +۳ مورد دیگر

Sam Pagliarini is a Professor in the Department of Electrical and Computer Engineering (ECE) at Carnegie Mellon University (CMU), where he leads research in hardware security and trustworthy integrated circuit design. Prior to joining CMU in 2024, he directed the Centre for Hardware Security at Tallinn University of Technology (2019–2023). He holds a Ph.D. in Electrical Engineering from Télécom Paris (France, 2013), an M.S. in Microelectronics from Universidade Federal do Rio Grande do Sul (Brazil, 2011), and a B.S. in Computer Engineering from the same institution (2008). His research focuses on securing hardware design pipelines, including EDA tools for secure chips, countermeasures against hardware trojans, and obfuscation techniques to protect intellectual property. He has pioneered work on reconfigurable-based obfuscation (ReBO), layout-effect-based security mechanisms, and post-quantum cryptographic accelerators. Recent efforts include collaborations on post-quantum cryptography vulnerabilities and silicon demonstrations of hardware trojan insertion methods. Prof. Pagliarini's work spans academia and industry, with contributions to both theoretical frameworks (e.g., SCARF framework for chip security) and applied solutions like the G-GPU ASIC accelerator generator. His research has addressed emerging threats in the IC supply chain and explored trade-offs between security, performance, and design complexity in post-silicon manufacturing.

• Hardware Security
• Chip Design
• Electronic Design Automation (EDA)
• +۷ مورد دیگر

Carmel Majidi is a Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering. He leads the Soft Machines Lab, where his research focuses on soft robotics, wearable computing, and advanced materials that mimic biological systems. His work enables robots and machines to safely interact with humans through soft, deformable technologies. Education: Ph.D. in EECS, University of California, Berkeley (2007) B.S. in Civil and Environmental Engineering, Cornell University (2001) His research interests span soft robotics, stretchable electronics, liquid metal materials, and bio-inspired engineering. He develops soft electromechanical materials for applications in haptics, medical devices, and human-machine interfaces. His group pioneers fabrication methods for soft composites and microfluidic systems that function as artificial skin, nervous tissue, and muscle. The recent trend in his publications highlights a strong focus on soft actuators, self-healing materials, liquid metal composites, and haptic interfaces for virtual and augmented reality. His work integrates materials science, robotics, and advanced manufacturing to enable scalable, robust, and practical soft systems. Scientific Awards: 2023 Inno Fire Award for Trailblazing Innovators, Pittsburgh Business Times Majidi leads a major research thrust in a new NSF Engineering Research Center (ERC) dedicated to improving robot dexterity, funded up to $52 million. He has been instrumental in developing soft robotic systems inspired by prehistoric organisms, such as the pleurocystitid, and in creating healthcare devices powered by body heat using liquid metal technologies. His research has been featured in Popular Science , Communications of the ACM , and Ars Technica . He is actively involved in advancing scalable manufacturing of soft electronics and enabling robust integration between soft materials and conventional microelectronics. His lab collaborates across disciplines to push the boundaries of physical AI and wearable robotics.

• Soft Robotics
• Wearable Robotics
• Soft Electronics
• +۱۲ مورد دیگر

James Bain is a Professor in the Electrical and Computer Engineering (ECE) Department at Carnegie Mellon University, with a courtesy appointment in the Department of Materials Science and Engineering. He serves as Associate Director of the Data Storage Systems Center (DSSC) within the College of Engineering. B.S. in Materials Science and Engineering from the University of Pennsylvania (1988) M.S. (1991) and Ph.D. (1993) in Materials Science and Engineering from Stanford University His research spans magnetic, optical, electrical, thermal, and mechanical devices for information storage. Current programs focus on heat-assisted magnetic recording and resistive switches for memory and reconfigurable electronics, with interdisciplinary applications in energy security, industrial decarbonization, and nanofabrication. His work intersects materials science , electrical engineering , and nanotechnology . Scott Institute Seed Grant (2018) for energy research Member of Materials Research Society and IEEE Magnetics, Electron Devices, and Photonics Societies Bain has co-authored over 225 publications and leads research at the interface of data storage and energy systems . He actively contributes to multiphysics modeling, nanoscale thermal transport, and phase-change materials. His lab is affiliated with Carnegie Mellon’s Data Storage Systems Center, advancing technologies for grid-interactive and high-performance buildings.

• Magnetic recording
• Information storage technology
• Resistive memory devices
• +۵ مورد دیگر

Brian Railing is an Associate Teaching Professor in the Computer Science Department at Carnegie Mellon University, part of the School of Computer Science. He specializes in educational technologies and systems programming, with a focus on improving teaching methods and student engagement in computer science courses. His recent courses include 15213, 15346, and 15513 across multiple semesters. His research spans electronic examination analysis, computer architecture education tools like CADSS, and optimizing parallel computing systems through Contech and LLVM instrumentation. His publications highlight advancements in student-centered learning, such as enhancing office hours and analyzing exam-taking behaviors. He also contributes to compiler optimization and memory systems evaluation. Despite extensive teaching and research, no awards or grants are explicitly mentioned. Brian’s work emphasizes bridging theory and practice in systems education, with ongoing efforts to develop scalable tools for parallel program analysis and student-driven learning environments.

• Computer Science Education
• Computer Architecture
• Systems Programming
• +۳ مورد دیگر

Ken Mai is a Principal Systems Scientist in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), part of the College of Engineering. He holds a B.S., M.S., and Ph.D. in Electrical Engineering from Stanford University. His research focuses on high-performance circuit design, secure IC design, radiation hardening, reconfigurable computing, and computer architecture. He has received prestigious awards including the NSF CAREER Award and the George Tallman Ladd Research Award. Education: Ph.D., Electrical Engineering, Stanford University, 2005 M.S., Electrical Engineering, Stanford University, 1997 B.S., Electrical Engineering, Stanford University, 1993 Research Interests: Dr. Mai’s work addresses challenges in nanometer-scale CMOS technology, including interconnect delay, leakage, and soft errors. His projects include secure IC design against hardware attacks, robust memory techniques using digital communications, 100GHz logic via cryogenic cooling, and bio-implantable computing platforms. He collaborates with neurosurgeons at the University of Pittsburgh for medical applications. Key Projects: Secure IC Design: Countermeasures against invasive/non-invasive attacks Robust Memory Design: Error correction codes for resilience 100GHz Logic: Cryogenically cooled CMOS for high-speed applications Bio-Implantable Systems: Low-power, high-density computing for medical devices Awards: NSF CAREER Award George Tallman Ladd Research Award Eta Kappa Nu Excellence in Teaching Award Teaching and Advising: He teaches courses like 18-322 (Digital Circuits), 18-617 (Memory Systems), and advises students including Mudit Bhargava and Mark McCartney. His lab, the VLSI Design Group, develops tools and methodologies linking circuit design to architectural design. Contact: Email: kenmai@ece.cmu.edu Website: Carnegie Mellon VLSI Design Group

• High-Performance Circuit Design
• Secure IC Design
• Radiation Hardening
• +۴ مورد دیگر

Nathan Beckmann is a Courtesy Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University, part of the College of Engineering. His research focuses on computer architecture, embedded systems, energy-efficient computing, and memory hierarchy design. He explores topics such as dataflow architectures, near-data computing, and cache optimization to enhance performance and reduce energy consumption in modern systems. His work spans both theoretical and applied aspects, including hardware-software co-design for reconfigurable systems, low-power IoT architectures, and novel caching strategies for emerging memory technologies like flash and MRAM. Key contributions include frameworks for ultra-low-power CGRAS, energy-minimal dataflow SoCs, and sustainable caching solutions. Dr. Beckmann's recent articles emphasize innovations in spatial dataflow programming models, task parallelism control, and polymorphic cache hierarchies. His research often targets real-world applications in edge computing, embedded systems, and high-performance datacenters.

• Computer Architecture
• Embedded Systems
• Energy-Efficient Computing
• +۴ مورد دیگر

Juney Lee is the T. David Fitz-Gibbon Assistant Professor of Architecture at Carnegie Mellon University's School of Architecture, appointed in 2023. He leads the Regenerative Structures Laboratory and teaches core structural design courses, emphasizing computational methods and sustainable practices. His research focuses on reducing embodied energy in buildings through advanced materials and construction technologies, with notable projects like the MycoTree and the HiLo unit at NEST. Lee holds degrees from UC Berkeley, MIT (M.Eng. in Structural Engineering), and a Ph.D. from ETH Zurich, where his work earned the Silver Medal. He is a co-developer of the open-source COMPAS framework and RhinoVAULT 2 software, advancing democratized access to computational tools. Education: B.A. in Architecture, University of California, Berkeley M. Arch., Massachusetts Institute of Technology (MIT) M. Eng. (Structural), MIT's Department of Civil and Environmental Engineering Ph.D., Institute of Technology in Architecture at ETH Zurich Research Interests: Lee's work bridges computational design, sustainable materials, and structural innovation. He explores 3D graphic statics, mycelium-based composites, and scalable decarbonization strategies. His teaching integrates hands-on methods to enhance students' design intuition amid AI-driven tools. Awards: Marvin E. Goody Award (MIT, 2014) ETH Zurich Silver Medal (2019) Teaching & Grants: Leads courses in structural design and computational analysis. Advises across all academic levels. Collaborates on projects like NEST's HiLo unit and the Seoul Biennale MycoTree installation. Active in industry-academia translation through prototypes showcased at international biennales. Labs/Teams: Directs the Regenerative Structures Laboratory at CMU, focusing on open-source tools and sustainable construction innovation.

• Sustainable Construction
• Computational Structural Design
• Regenerative Materials
• +۳ مورد دیگر

Seth Goldstein is an Associate Professor in the Computer Science Department at Carnegie Mellon University's School of Computer Science. His research focuses on ensembles (massively scalable systems), distributed systems, reconfigurable computing, and programmable matter (Claytronics). He leads projects like BoLT (a decentralized lending platform) and Phoenix (computing without traditional processors). He has advised numerous graduate students and teaches courses including Compiler Design, Computer Architecture, and Cloud Computing. Research Interests : Goldstein explores systems with massive interacting components, such as molecular-scale devices, modular robotics, and economic systems. His work spans compilers (e.g., register allocation optimizations), time synchronization protocols for embedded systems, and algorithms for self-reconfiguring robots. Recent projects include BlockGraph (a secure distributed ledger) and peer code review methodologies. Key Contributions : Goldstein's work on Claytronics pioneered programmable matter, enabling shape-shifting materials. His BoLT platform addresses lending market inefficiencies using blockchain principles. He has also developed algorithms for modular robot coordination and energy-efficient self-reconfiguration. Labs/Teams : Goldstein directs research in the CMU Robotics Institute and collaborates with interdisciplinary teams on projects like the PipeRench and Phoenix architectures. His lab explores intersections between nanotechnology, distributed systems, and societal applications like new monetary systems.

• Programming Languages
• Systems
• Computer Architecture
• +۹ مورد دیگر

Sunkee Lee is an Associate Professor of Organizational Theory and Strategy at the Tepper School of Business, Carnegie Mellon University, where he has been a faculty member since 2017. He currently holds the position of Associate Professor after being promoted from Assistant Professor in 2023, and has received prestigious chairs including the Frank A. and Helen E. Risch Faculty Development Professorship (2022-2024) and the Xerox Junior Faculty Chair (2019-2020). Dr. Lee serves on the editorial boards of the Strategic Management Journal, Organization Science, and the Journal of Organization Design, demonstrating his significant contributions to the field. Dr. Lee's research focuses on individual and organizational learning, organization design, and the microfoundations of firm strategy and performance. His work spans multiple contexts including physical workspaces, knowledge transfer, strategic management, and healthcare settings. He examines how physical environments affect creativity, how individuals learn from failures, how spatial proximity influences exploration, and how incentives shape organizational behavior. His integrative approach connects organizational theory with practical applications in diverse industries. Analysis of Dr. Lee's recent publications reveals a strong focus on organizational learning processes, physical work environments, and strategic decision-making. His work often employs rigorous empirical methods including natural experiments, longitudinal studies, and comprehensive literature reviews. He frequently publishes in top-tier management journals such as Management Science, Organization Science, and Strategic Management Journal, demonstrating the high impact of his research. Ralph Gomory Best Industry Studies Paper Award William H. Newman Award for Best Paper Based on a Dissertation BPS Division Distinguished Student Paper Award at the 77th Annual Meeting of the Academy of Management MK-AKMS Young Scholar Award at the 80th Annual Meeting of the Academy of Management George Leland Bach Teaching Award for Excellence in the Classroom (2022) Poets&Quants' 2024 Best 40-Under-40 MBA Professors Outstanding Reviewer Award Dr. Lee teaches the core MBA strategy course at the Tepper School, for which he received the George Leland Bach Teaching Award. He also instructs doctoral courses in Strategic Management and has taught undergraduate Organizational Behavior. His teaching excellence has been recognized with his inclusion among Poets&Quants' Best 40-Under-40 MBA Professors in 2024. Beyond the classroom, Dr. Lee is actively involved in executive education, including programs for the Tata Group of India and Carnegie Mellon's Emerging Business Applications of GenAI program. His military background as a Republic of Korea Army intelligence agent adds a unique perspective to his understanding of organizational dynamics and leadership.

• individual and organizational learning
• organization design
• microfoundations of firm strategy and performance
• +۳ مورد دیگر

Vanessa Chen is an Assistant Professor of Electrical and Computer Engineering at Carnegie Mellon University (CMU), part of the College of Engineering. She holds a Ph.D. from CMU (2013) and prior academic appointments at The Ohio State University and Qualcomm. Her research focuses on hardware security for IoT devices, analog/mixed-signal circuits, and ubiquitous sensing systems, with notable contributions in RF fingerprinting and machine learning integration. She leads the Energy-Efficient Circuits and Systems Lab and has received prestigious awards including the NSF CAREER Award (2019). Education : Ph.D., Electrical and Computer Engineering, Carnegie Mellon University (2013) M.S., Electrical Engineering, National Tsing Hua University, Taiwan (2005) B.S., Electrical Engineering, National Tsing Hua University, Taiwan (2003) Research Interests : Chen’s work spans secure analog/RF electronics, brain-machine interfaces, and energy-efficient data conversion systems. She pioneers methods to detect hardware Trojans via electromagnetic side-channels and designs lightweight, energy-efficient transceivers for IoT. Her projects integrate machine learning for real-time threat detection and system optimization. Awards & Grants : NSF CAREER Award (2019) EAGER Grant for Real-Time Learning in Secure RF Electronics (2020) SpecEES Grant for Trusted Wireless Transceivers (2019) Advising & Outreach : Collaborates with industry partners like Apple and Analog Devices. Develops educational initiatives integrating secure sensor design into undergraduate/graduate curricula. Her lab emphasizes interdisciplinary approaches to tackle emerging cybersecurity challenges in IoT and wireless systems.

• Ubiquitous Sensing Systems
• Hardware Security for IoT Devices
• Analog/Mixed-Signal Integrated Circuits
• +۴ مورد دیگر

Rohit Negi is a Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), affiliated with the College of Engineering. He holds a Ph.D. (2000) and M.S. (1996) in Electrical Engineering from Stanford University, and a B.Tech. from the Indian Institute of Technology Bombay (1995). His research focuses on wireless communications, networking, information theory, and cyberphysical systems, with emphasis on ad hoc networks, sensor networks, and power systems. Key roles include leading research on capacity of ultra-wideband (UWB) networks and joint optimization frameworks for physical/MAC/network layers. He has advised numerous Ph.D. and M.S. students, with notable alumni in industry (e.g., Qualcomm, Samsung) and academia (e.g., University of Florida). Research sponsors include NSF (including a Career Award), Texas Instruments, and industry partnerships. He has published extensively in IEEE journals/conferences, focusing on scheduling algorithms, secure communication, and power systems optimization. Notable awards include a 2012 IEEE Smart GridComm Best Paper Award and the President of India Gold Medal (1995). Teaching contributions include developing courses like 18-450 (Digital Wireless Communications) and co-designing the Intel Instructional Wireless Lab. His professional activities include editorial roles for IEEE Transactions and NSF review panels. Current research explores cyberphysical systems, smart grid state estimation, and reconfigurable RF-FPGA systems. Collaborations span disciplines like machine learning and network science, reflecting his holistic approach to engineering challenges.

• Wireless communications
• Networking
• Signal processing
• +۷ مورد دیگر