جست‌وجوی استاد و پژوهشگر

Bob Iannucciمشاهده پروفایل

استاد مدعو

• Mobile and embedded computing
• Scalable systems
• Sensor networks
• +۱۱ مورد دیگر

Bob Iannucci is an Adjunct Professor in Electrical and Computer Engineering at Carnegie Mellon University (CMU), with a courtesy appointment at CMU Silicon Valley. He previously served as Chief Technology Officer of Nokia and Head of the Nokia Research Center (NRC), where he pioneered open innovation initiatives like 'lablets' at top universities. His research focuses on mobile/embedded systems, scalable architectures, wireless networks, and energy-efficient IoT technologies. Education: Ph.D. in Computer Science from MIT (1988), with a thesis on hybrid dataflow-von Neumann architectures. He has led engineering teams at startups and major firms like DEC/Compaq, co-founding Exa Corporation (now part of Siemens) for computational fluid dynamics. Key Projects: MoCCA (mobile computing architecture, now in Smithsonian), VIPER (drone curiosity training), PowerDué (energy-aware IoT prototyping). Awards: IDEA Gold Award (MoCCA), IPSN Best Paper (2018), Millennium Technology Prize committee member (2008). Current activities include advising on wireless networking, developing WiFi IoT devices, and an award-winning radio direction-finding iPhone app. He actively collaborates on NSF-funded projects addressing spectrum interference and emergency communication systems.

Pradeep K. Khoslaمشاهده پروفایل

استاد مدعو

• Electrical Engineering
• Computer Engineering
• Robotics
• +۴ مورد دیگر

Pradeep K. Khosla serves as the eighth Chancellor of the University of California, San Diego (UCSD), a position he has held since August 1, 2012, while maintaining an adjunct faculty appointment in Electrical and Computer Engineering. As Chancellor, he leads a campus with over 45,000 students across 11 academic schools and eight undergraduate colleges, with annual revenues of $9.1 billion in fiscal year 2024. UCSD, home to the Scripps Institution of Oceanography and UCSD Health System, attracts more than $1.73 billion in sponsored research funding annually. Prior to UCSD, Khosla spent most of his career at Carnegie Mellon University, rising from Assistant Professor in 1986 to Dean of the College of Engineering in 2004. His academic foundation includes a BTech from Indian Institute of Technology Kharagpur (1980), followed by MS (1984) and PhD (1986) degrees in Electrical and Computer Engineering from Carnegie Mellon. Chancellor Khosla's research expertise centers on electrical and computer engineering with emphasis on robotics and intelligent systems. His work focuses on developing enabling technologies for 'Rapidly Deployable Systems' through composition of hardware/software building blocks and collaboration among autonomous robots. His research vision involves creating specialized components that rapidly form systems capable of achieving desired behaviors through collaboration. Dr. Khosla has received numerous prestigious awards recognizing his leadership and academic contributions: 2012 Light of India Award Lifetime Achievement Award from ASME George Westinghouse Award for engineering education W. Wallace McDowell Award from IEEE Apolitical's 100 Most Influential Academics (2022) SiliconIndia Leadership Award He maintains significant professional affiliations as an elected member of the American Academy of Arts and Sciences, National Academy of Engineering, and American Society for Engineering Education. Additionally, he holds fellowships with IEEE, ASME, AAAS, AAAI, Indian National Academy of Engineering, National Academy of Inventors, and Indian National Science Academy.

• Cloud Computing
• Resource Management
• Software-Defined Infrastructure
• +۳ مورد دیگر

Akkarit Sangpetch is an Adjunct Professor in the Department of Electrical and Computer Engineering at King Mongkut's Institute of Technology (KMITL), and also serves as a Lecturer in the same department. He holds a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University (2013), and previously worked at VMware, Inc. during his academic training. His primary research focuses on cloud computing resource management, software-defined infrastructure, and distributed application platforms. These areas emphasize optimizing computational resources and infrastructure efficiency in dynamic environments. No scientific awards or specific grants are explicitly mentioned. He has not listed any advisee students in the provided information. His professional activities include contributions to curriculum development and academic advising within the department. Further details about his involvement in research labs or collaborative teams are not detailed in the text.

Reeja Jayanمشاهده پروفایل

استاد

• Materials Science
• Electromagnetic Field Applications
• Energy Storage Systems
• +۶ مورد دیگر

Reeja Jayan is a Professor in Mechanical Engineering at Carnegie Mellon University (CMU), with courtesy appointments in Materials Science & Engineering, Chemical Engineering, and Electrical & Computer Engineering. She leads the Far-from-Equilibrium Materials Laboratory (J-Lab), focusing on electromagnetic field-driven material synthesis and energy-efficient manufacturing. Her research spans ceramics, polymers, and energy storage systems, with breakthroughs in low-temperature material processing and data-driven discovery. Jayan holds prestigious awards including the ARO and AFOSR Young Investigator Awards, and is a CMU Engineering Dean’s Early Career Fellow. She pioneered game-based learning using Minecraft to teach materials science. J-Lab’s work includes additive manufacturing of ceramics, field-assisted synthesis, and autonomous robotic platforms for materials engineering. Jayan advises a dynamic team of graduate and undergraduate students, with notable alumni in academia and industry. Education: M.S. in Electrical Engineering, The University of Texas at Austin Ph.D. in Materials Science and Engineering, The University of Texas at Austin Postdoctoral Associate in Chemical Engineering, MIT Research Interests: Materials synthesized under electromagnetic fields, far-from-equilibrium processing, additive manufacturing of ceramics, energy storage systems, and data-driven autonomous synthesis. J-Lab’s work merges experiments with computational models to explore novel material behaviors and sustainable manufacturing techniques. Key thrusts include low-temperature ceramic synthesis, field-induced phase transitions, and machine learning-guided robotics for materials discovery. Publications: Over 50 peer-reviewed articles in top journals like Advanced Materials and Journal of the American Ceramic Society , focusing on electromagnetic field applications, battery interfaces, and ceramic processing innovations. Grants & Awards: NSF CAREER Award (2018) CMU Scott Institute Seed Grant (2020) Air Force Research Lab (AFRL) Center of Excellence funding Labs & Teams: J-Lab collaborates with industry and national labs, including the AFRL and NIST. Projects include developing closed-loop robotic systems for materials synthesis and low-emission ceramic manufacturing processes.

• Physical Metallurgy
• Magnetic Materials
• Phase Transformations
• +۴ مورد دیگر

David Laughlin is a Professor of Materials Science and Engineering at Carnegie Mellon University (CMU), holding a courtesy appointment in the Electrical and Computer Engineering Department. He also serves as the ALCOA Professor of Physical Metallurgy and Editor of Metallurgical and Materials Transactions . With a PhD from MIT (1973) and BS from Drexel University (1969), his research focuses on phase transformations, magnetic materials, and transmission electron microscopy (TEM) analysis of microstructures. Notable contributions include studies on FePt alloys, boron nitride interfaces, and heat-assisted magnetic recording (HAMR) media. He has authored over 400 publications and five co-edited books, with awards including the G. T. Ladd Teaching Award (1975), B. R. Teare Award (1999), and the 2003 College of Engineering Outstanding Research Award. His work bridges metallurgy, materials science, and engineering applications, emphasizing practical solutions for advanced materials systems. Education: PhD in Metallurgy & Materials Science (MIT, 1973), BS in Metallurgical Engineering (Drexel University, 1969) Research Themes: Phase transformations, magnetic thin films, FePt-based alloys, boron nitride interfaces, HAMR media, and TEM-based microstructural analysis His recent publications emphasize granular media fabrication, thermal conductivity interfaces, and plasmonic transducer designs, reflecting ongoing contributions to magnetic storage technologies and nanomaterials.

Elisaweta Masserovaمشاهده پروفایل

پژوهشگر ارشد

• Cryptography
• Distributed Systems
• Blockchain Technology
• +۳ مورد دیگر

Elisaweta Masserova is a Research Fellow in the Computer Science Department at Carnegie Mellon University , affiliated with the College of Engineering . She works in the Gates and Hillman Centers , focusing on advanced cryptographic protocols and decentralized systems. Research Interests : Elisaweta specializes in Cryptography , Blockchain Technology , and Secure Multi-Party Computation . Her work addresses challenges in Distributed Systems , including Atomic Swaps , Zero-Knowledge Proofs , and Privacy-Preserving Algorithms . Recent Publications highlight her contributions to scalable cryptographic frameworks, blockchain-based secret management, and collusion-resistant protocols. While no awards or student advisement details are provided, her research intersects Theoretical Computer Science , Security , and Applied Cryptography .

Jingao Xuمشاهده پروفایل

پژوهشگر ارشد

• Event Cameras
• Drone Systems
• SLAM
• +۵ مورد دیگر

Jingao Xu is a Research Fellow in the Computer Science Department at Carnegie Mellon University's School of Computer Science, based in room 9120 of the Gates and Hillman Centers. His research bridges computer vision, robotics, and edge computing with a focus on real-world applications in drone systems and mobile sensing. His work addresses critical challenges in resource-constrained environments through innovative sensor fusion techniques. Xu's primary research centers on event camera technology , where he pioneers applications in drone navigation, SLAM, and environmental monitoring. His contributions include deraining algorithms using state space models (PRE-Mamba), mmWave radar-event camera fusion for drone landing, and multi-robot gas source localization (SniffySquad). He specializes in extracting value from high-frequency event streams under challenging conditions like rain, low light, and high-speed motion, with significant work in fall detection systems and urban air quality monitoring through mobile crowd-sensing (CatUA). Analysis of his 15 most recent publications (2024-2025) reveals three dominant trends: (1) Adoption of state space models (particularly Mamba variants) for efficient event stream processing, (2) Integration of event cameras with complementary sensors (mmWave radar, depth, IMU) for robust perception, and (3) Development of edge-assisted frameworks for real-time drone operations in wildfire suppression and autonomous navigation. His work consistently targets practical deployment on mobile platforms with severe computational constraints. No scientific awards or honors were mentioned in the available information. Details regarding student advising, research grants, laboratory affiliations, or team structures were not provided in the source material.

Babu Pillaiمشاهده پروفایل

استاد آموزشی

• Computer Science
• Software Engineering
• Algorithms
• +۳ مورد دیگر

Babu Pillai is an Associate Teaching Professor in the Computer Science Department at Carnegie Mellon University. His office is located in Room 7123 of the Gates and Hillman Centers. He can be reached via email at pspillai@andrew.cmu.edu or by phone at (412) 268-2565. Professor Pillai teaches courses such as 15-410 (Operating Systems), 15-605 (Advanced Programming), 15-821 (Compilers), 15-440 (Computer Networks), and 15-640 (Distributed Systems), spanning both Fall and Spring semesters from 2024 to 2025. His academic support is managed by Emily Spencer (15410). No specific research interests or awards are listed, reflecting a focus on teaching and academic administration.

Tuomas Sandholmمشاهده پروفایل

استاد

• Artificial Intelligence
• Game Theory
• Algorithms and Complexity
• +۱۲ مورد دیگر

Tuomas Sandholm is the Angel Jordan University Professor of Computer Science at Carnegie Mellon University, where he also holds appointments in the Machine Learning Department, the Ph.D. Program in Algorithms, Combinatorics, and Optimization, and the CMU/University of Pittsburgh Joint Ph.D. Program in Computational Biology. He serves as Co-Director of CMU AI and Director of the Electronic Marketplaces Laboratory. Dr. Sandholm's research spans artificial intelligence, economics, and operations research, with particular focus on algorithms and complexity, game theory, machine learning, and electronic commerce. His work involves developing incentive-compatible market mechanisms and efficient algorithms for executing those mechanisms, as well as designing software agents that act optimally in electronic marketplaces. His research has led to significant commercial applications, including systems fielded by CombineNet, Inc. that handled over $60 billion in spend. Sandholm's recent publications reveal a strong emphasis on solving large-scale games, equilibrium computation, and applying these techniques to real-world problems. His work shows a progression from theoretical foundations to practical implementations, with applications ranging from poker AI (Libratus and Pluribus) to kidney exchange systems. His research group has pioneered techniques in game abstraction, regret minimization, and equilibrium computation that have pushed the boundaries of what's possible in imperfect-information games. Vannevar Bush Faculty Fellowship (2023) AAAI Award for AI for the Benefit of Humanity (2023) IJCAI John McCarthy Award (2021) Robert S. Engelmore Award (2021) Minsky Medal (2019) Science Breakthrough of the Year Runner-Up (2019) As an advisor, Sandholm has mentored numerous PhD students who have gone on to prestigious positions at institutions like MIT, Stanford, and CMU. His lab has secured substantial research funding for projects including solving large-scale games and heart transplantation policy optimization. The Electronic Marketplaces Laboratory he directs has been instrumental in developing algorithms that run the national kidney exchange for UNOS, resulting in approximately 10,000 life-saving transplants. Sandholm is also the founder and CEO of multiple companies including Strategy Robot, Inc., Strategic Machine, Inc., and Optimized Markets, Inc., which apply his research to defense, intelligence, business strategy, and advertising markets.

Srinivasan Seshanمشاهده پروفایل

استاد

• Distributed Systems
• Mobile Computing
• Networking
• +۱ مورد دیگر

Srinivasan Seshan is Joseph Traub Professor of Computer Science and Department Head of the Computer Science Department at Carnegie Mellon University's School of Computer Science. His research focuses on network protocols, distributed network applications, and next-generation network architectures. His primary research explores next-generation network architectures like the eXpressive Internet Architecture (XIA) for robust internet evolution and video content delivery optimization. A secondary focus examines systems challenges in mobile computing, including power-efficient data collection, scalable infrastructure design, and privacy management for smartphone-based environmental observations. As a prominent researcher in distributed systems, Seshan has made significant contributions to transport protocols, sensor networking, and firewall design. His publications demonstrate consistent focus on network architecture innovation and mobile systems optimization.

Peter Steenkisteمشاهده پروفایل

استاد

• Distributed Systems
• Networking
• Security and Privacy
• +۲ مورد دیگر

Peter Steenkiste is a Professor of Computer Science and Electrical and Computer Engineering at Carnegie Mellon University, with appointments in the School of Computer Science and the Computer Science Department. His research focuses on distributed systems, networking, and wireless technologies, including future Internet architectures like XIA and applications in 5G networks. Steenkiste holds a Ph.D. in Electrical Engineering from Stanford University. His work integrates theoretical and applied approaches, often involving prototype development and real-world testing. Research interests include: Future Internet Architecture (XIA) Wireless network optimization Dynamic spectrum access Network telemetry His publications consistently address network efficiency and innovation, with recent works exploring low-latency video delivery, 5G virtualization, and programmable network infrastructure. Awards include IEEE and ACM Fellowships, Andrew Heiskell Honorable Mention, and University of Cantabria Research Award. He has advised students like Shawn Chen and secured grants for projects including REACH (Robust Content Delivery) and FLOYD (Vehicular Edge Computing). He leads research groups at CMU's Gates and Hillman Centers and collaborates with industry partners like Telefonica and ETH Zurich.

Riad Wahbyمشاهده پروفایل

استادیار

• Cryptography
• Zero-Knowledge Proofs
• Secure Computation
• +۱ مورد دیگر

Riad Wahby is an Assistant Professor in the Electrical and Computer Engineering department at Carnegie Mellon University's College of Engineering, with affiliations in the Computer Science Department. His research focuses on theoretical computer science with applications in cryptography and security systems. Primary research areas include: Zero-knowledge proof systems and SNARKs Secure multiparty computation Cryptographic protocol design Formal verification methods His publications demonstrate consistent innovation in cryptographic compilers, constraint systems for SNARKs, and practical applications of zero-knowledge proofs. Recent work highlights include advancements in finite-field verification, decentralized auction systems, and side-channel attack analysis. Current advising includes graduate students Quang Dao and Kunming Jiang. Teaching includes courses in computer systems and cryptography (15-330).

Zhihao Jiaمشاهده پروفایل

استادیار

• Artificial Intelligence
• Systems
• Quantum Computing
• +۳ مورد دیگر

Zhihao Jia is an Assistant Professor in the Computer Science Department at Carnegie Mellon University (CMU). He is affiliated with the CMU Catalyst Group and the Parallel Data Lab, focusing on advancing systems for machine learning, quantum computing, and large-scale data analytics. Previously, he was a research scientist at Facebook and earned his PhD from Stanford University (2020), advised by Alex Aiken and Matei Zaharia. His bachelor's degree is from Tsinghua University's Special Pilot CS Class under Andrew Yao. His research emphasizes accelerating deep learning computations on modern hardware and optimizing quantum circuits for intermediate-scale quantum devices. Notable contributions include speculative reasoning techniques, efficient LLM serving systems, and quantum circuit simulators. He teaches advanced courses such as 15418 and 15618 at CMU. Zhihao advises PhD students including Zhuoming Chen, Zikun Li, and Xinhao Cheng. His work bridges systems research with emerging applications, aiming to enhance computational efficiency and scalability. He collaborates on projects like Specexec, Helix, and Atlas, addressing challenges in distributed computing and quantum simulation.

Eric Xingمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Bioinformatics
• +۳ مورد دیگر

Eric Xing is a Professor in the Machine Learning Department at Carnegie Mellon University, with an affiliation to the Computer Science Department. His research focuses on advancing artificial intelligence, particularly in machine learning, bioinformatics, and interdisciplinary applications. He advises three students: Aviv Bick, Lingjing Kong, and Yonghao Zhuang. His recent work spans cutting-edge topics such as graph neural networks, generative AI, biosecurity safeguards, and scalable language model evaluation. Notable contributions include foundational models for RNA prediction, efficient video diffusion systems, and ethical frameworks for AI deployment. He actively bridges AI with fields like genomics, healthcare, and urban planning through collaborative projects. Xing’s research often emphasizes practical applications, such as edge computing-optimized inference systems and open mathematical corpora. His work has implications for both technical advancements and societal challenges, reflecting a commitment to impactful, interdisciplinary AI research.

Ryan O'Donnellمشاهده پروفایل

استاد

• Algorithms and Complexity
• Security and Privacy
• Theoretical Computer Science
• +۶ مورد دیگر

Ryan O'Donnell is a Professor in the Computer Science Department at Carnegie Mellon University's School of Computer Science. He specializes in theoretical computer science, with a focus on algorithms, complexity theory, quantum computing, and probability. His research includes Fourier analysis of Boolean functions, constraint satisfaction problems, and quantum information theory. He teaches courses such as 15251 (Fall 2025), 15754 (Spring 2025), and others. His work spans quantum tomography, pseudorandomness, and algorithmic design. Recent publications explore topics like quartic quantum speedups, uniformity testing, and explicit expanders. He advises PhD students William He, Noah Singer, and Jingxun Liang. His research interests bridge foundational theory and practical applications, including healthcare informatics and cryptographic tools. He actively contributes to academic conferences and program committees, reflecting his leadership in the field.