CBI Fellowship Host Information

2023 Faculty Hosts

Prospective Areas of Research for Fellows

Carnegie Bosch Institute

Carnegie Bosch Fellowship

Artificial Intelligence

Yuejie Chi

Professor, Electrical and Computer Engineering

Research Areas:

1) Algorithmic foundation of AI+

2) Design and development of learning algorithms in sample/resource-starved complex environments

Intention for CBI Fellow: The postdoc is expected to develop novel algorithms with performance guarantees for reinforcement learning in multi-agent and federated settings, using historically available datasets. Extension and testing of such algorithms in practical/interdisciplinary use cases is encouraged.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/chi-yuejie.html

John Dolan

Principal Systems Scientist Robotics Institute

Research Areas:

1) Robot autonomy

2) Safe control for autonomous vehicles - with focus on social cooperation

Intention for CBI Fellow: The postdoc is expected to develop new approaches and applications to modeling dynamics, behaviors, control, and safety in traffic and pedestrian scenarios.

Faculty profile:

https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/dolan-john.html

Eni Halilaj

Assistant Professor, Mechanical Engineering, Biomedical Engineering, Robotics Institute

Research Areas:

1) Human movement biomechanics

2) Hybrid modeling (physics + deep learning)

3) Ubiquitous computing, with a focus on wearables and smartphones

Intention for CBI Fellow: The postdoc is expected to advance research in the area of physics-informed deep learning, with applications in computer vision and dynamic simulations of movement.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/halilaj-eni.html

Zakia Hammal

Systems Scientist, Robotics Institute

Research Areas:

1) Multimodal machine learning

2) Multimodal behavioral modeling from video

3) AI for health sciences and medicine

Intention for CBI Fellow: The postdoc would have the flexibility to contribute and expand the scope of research pursued in the group, e.g. in the areas of multimodal machine learning, domain transfer and adaptation, few shot learning, and federated learning for human behavior modeling from video.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/hammal-zakia.html

Zhihao Jia

Assistant Professor, Computer Science Department

Research Areas:

1) Sparsity in deep learning

2) Large-scale AI

3) ML systems

Intention for CBI Fellow: The postdoc would leverage sparse AI techniques and architectures to build a bridge between academia and industry, with focus on domains of interest for Bosch (e.g., manufacturing, engineering, supply chain management, and intelligent services).

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/jia-zhihao.html

Carlee Joe-Wong

Robert E. Doherty Career Development Associate Professor, Electrical and Computer Engineering

Research Areas:

1) Internet of Things

2) Distributed AI for resource-constrained devices

Intention for CBI Fellow: The postdoc is expected to advance research in distributed AI by applying theoretical analysis and testbed experiments to industrial use cases.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/joe-wong-carlee.html

Aaron Johnson

Associate Professor, Mechanical Engineering, Electrical and Computer Engineering, Robotics Institute

Research Areas: Reinforcement Learning for Robotic Control in real-world and simulated environments

Intention for CBI Fellow: The postdoc would develop novel systems inspired by reinforcement learning, adaptive control and dynamic modeling, with the goal of enabling wheeled/legged robots to operate in challenging environments.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/johnson-aaron.html

Gauri Joshi

Associate Professor, Electrical and Computer Engineering

Research Areas:

1) Distributed machine learning

2) Federated learning

Intention for CBI Fellow: The postdoc is expected to expand the scope of ongoing research, addressing pertinent issues in federated learning. Furthermore, the postdoc is expected to help supervise Ph.D. students in the lab.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/joshi-gauri.html

Swarun Kumar

Associate Professor, Electrical and Computer Engineering

Research Areas:

1) Artificial Intelligence for wearable devices

2) Artificial Intelligence for health care

Intention for CBI Fellow: The proposed research will not merely be around data analytics but instead work end-to-end: the postdoc will work and speak to clinicians, be involved in user studies with patients, develop hardware and software platforms for sensor technologies as well as the AI/ML tools needed to process sensed data.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/kumar-swarun.html

Christian Lebiere

Research Faculty, Psychology

Research Areas:

1) Cognitive architectures

2) Cognitive models of human behavior

3) Human-Machine teaming in cyber domains

Intention for CBI Fellow: The postdoc is expected to tackle theoretical and practical challenges related to applying cognitive architectures to cyber-security, with a focus on the integration of cognitive models with large knowledge repositories and scalable deep learning algorithms.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/lebiere-christian.html

Philip LeDuc

William J. Brown Professor, Mechanical Engineering, Biological Sciences, Biomedical Engineering, Computational Biology, Electrical and Computer Engineering Director, Center for the Mechanics and Engineering of Cellular Systems

Research Areas: Basic science and applied research in the intersection of mechanical engineering and biological systems ranging from algae to artificial cells to developmental biology.

Intention for CBI Fellow: The postdoc will leverage novel approaches in Artificial Intelligence to understand how general principles may apply across diverse nature-based systems.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/leduc-philip.html

Yorie Nakahira

Assistant Professor, Electrical and Computer Engineering, Neuroscience Institute, Robotics Institute

Research Areas:

1) Safety in Artificial Intelligence

2) Artificial Intelligence for real-time autonomous systems

3) Adversarial Artificial Intelligence

Intention for CBI Fellow: The postdoc will leverage novel approaches in Artificial Intelligence to understand how general principles may apply across diverse nature-based systems.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/nakahira-yorie.html

Guannan Qu

Assistant Professor, Electrical and Computer Engineering

Research Areas:

1) AI for real-world safety-critical systems

2) Safe and robust AI solutions for large-scale networked systems (e.g., energy, traffic)

3) Interdisciplinary approach to cyber physical systems (machine learning, reinforcement learning, control theory, network science, optimization)

Intention for CBI Fellow: The postdoc would develop new algorithms and theories and is expected to conduct large-scale experiments to validate them. Tentative topics include combining mode-based knowledge in model-free reinforcement learning (RL); learning to stabilize a dynamical system; safe and scalable RL for multi-robot collaboration (e.g in manufacturing).

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/qu-guannan.html

Aditi Raghunathan

Assistant Professor, Computer Science Department

Research Areas:

1) Robust machine learning

2) Continual learning

3) Foundation models

Intention for CBI Fellow: The postdoc would lead projects in the main directions explored in the lab, working with and mentoring students in: 1) continual learning and adaptation to distribution shifts; and 2) leveraging large pre-trained models such as GPT3 and CLIP for improving robustness. The directions are relatively open-ended, requiring strong initiative, leadership and research experience to guide the development of appropriate benchmarks that reflect practically relevant situations, to work with large-scale models and come up with elegant technical solutions to improve performance.

Faculty profile:

https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/raghunathan-aditi.html

Deva Ramanan

Professor, Robotics Institute

Research Areas:

1) Perception and autonomy for robotic systems

2) Deep learning algorithms

Intention for CBI Fellow: The postdoc is expected to advance research on autonomous vehicles

Faculty profile:

https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/ramanan-deva.html

Carolyn Rosé

Professor, Human-Computer Interaction Institute Language Technologies Institute

Research Areas:

1) Text mining

2) Automatic knowledge graph construction

3) Semantic data fusion

Intention for CBI Fellow: The post doc would develop methods and technologies to build knowledge graph-based applications from semi-structured information (e.g. semiconductor datasheets), leveraging machine learning, reasoning, and data fusion techniques.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/rose-carolyn.html

Sebastian Scherer

Associate Research Professor, Robotics Institute

Research Areas:

1) AI for real-world robotics

2) Neuro-symbolic AI

Intention for CBI Fellow: The CBI fellow would explore new paradigms in AI and robotics that have potential to fundamentally advance the state-of-the-art towards universal robots while still being grounded in real-world robotics applications.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/scherer-sebastian.html

Guanya Shi

Assistant Professor, Robotics Institute

Research Areas:

1) Machine learning

2) Control theory

3) Safe and structured reinforcement learning

4) Agile robotics

Intention for CBI Fellow: The postdoc will join one of the main research directions in the lab, taking an active role in shaping and directing research: 1) Safe robotics control with learned agility; 2) Offline learning and online adaptation; 3) Model-based and modelfree reinforcement learning.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/shi-guanya.html

Virginia Smith

Assistant Professor, Machine Learning, Electrical and Computer Engineering

Research Areas:

1) Federated learning

2) Data privacy

3) Collaborative learning

Intention for CBI Fellow: The postdoc will drive efforts at the intersection of machine learning, privacy, security, and distributed systems, and develop new approaches for private and trustworthy machine learning. Furthermore, the postdoc will interface with other faculty at CMU and with experts at Bosch deploying federated/collaborative learning techniques.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/smith-virginia.html

Ameet Talwalkar

Associate Professor, Machine Learning

Research Areas:

1) Automated ML (AutoML)

2) Human-in-the-Loop Learning

3) Machine Learning Systems (MLSys)

Intention for CBI Fellow: The postdoc would play a crucial role in pushing forward our group’s research agenda, including (but not limited to) leading new research problems, mentoring junior students, leading reading groups, helping with teaching, spawning new collaborations, and disseminating results at conferences, workshops, and additional academic and industry-focused venues. The specific role will be tailored to the Fellow’s interests and future goals.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/talwalkar-ameet.html

Pingbo Tang

Associate Professor, Civil and Environmental Engineering

Research Areas:

1) Interactive learning for civil infrastructure systems management

2) Infrastructure systems fault prognosis

3) Maintenance-aware operations of infrastructure

Intention for CBI Fellow: The postdoc is expected to not only join current efforts in human-machine interactive learning and education, but also to take an active role in shaping and leading new related research directions spanning multiple civil infrastructure operation scenarios.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/tang-pingbo.html

Conrad Tucker

Arthur Hamerschlag Career Development Professor, Mechanical Engineering, Biomedical Engineering, Machine Learning, Robotics Institute

Research Areas:

1) AI for resilient systems

2) Cyber-security via adversarial reinforcement learning

Intention for CBI Fellow: The postdoc would join the main effort in the lab, which seeks to create more resilient and secure engineering systems by applying AI-based design. In particular, we seek to address the current need for better benchmark datasets which are more representative of complex engineering systems, and use these new benchmarks to direct impactful, real-world research.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/tucker-conrad.html

Weina Wang

Assistant Professor, Computer Science Department

Research Areas:

1) Reinforcement learning for operations research

2) Dimension reduction

3) Resource management

Intention for CBI Fellow: The postdoc will join the main ongoing research direction in the lab, collaborating with a broader set of researchers from different institutions and taking an active role in pushing and disseminating the foundational work proposed in this grant.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/wang-weina.html

Cybersecurity + Privacy

Alessandro Acquisti

Trustee Professor of Information Technology and Public Policy, Heinz College

Research Areas: Interdisciplinary methods applied to study privacy in a digital society (data mining, behavioral research, economics).

Intention for CBI Fellow: The postdoc is expected to have quantitative or coding background to effectively contribute on either online experiments or field studies. Current topics of interest include privacy-preserving technologies, anti-tracking technologies, consumer privacy.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/acquisti-alessandro.html

Jonathan Aldrich

Professor, Software and Societal Systems Director, Software Engineering Ph.D. program

Research Areas:

1) Programming languages

2) Formal verification

3) Human computer interaction (for PL)

Intention for CBI Fellow: The postdoc is expected to contribute to development of novel, usable programming languages, type systems tools for domains such as IoT applications

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/aldrich-jonathan.html

Lujo Bauer

Professor, Electrical and Computer Engineering, Software and Societal Systems, CMU-Africa

Research Areas:

1) Security of AI

2) ML for security and privacy

3) Usability aspects of security and privacy

4) Formal methods

Intention for CBI Fellow: The postdoc would have the flexibility to contribute to, and expand the scope of, research we're pursuing in usable security and privacy and in the intersection of security and AI.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/bauer-lujo.html

Shawn Blanton

Associate Department Head for Research and Joseph F. and Nancy Keithley Professor, Electrical and Computer Engineering

Research Areas:

1) Hardware security

2) IP protection

3) Obfuscation methods for circuits

4) Logic locking

Intention for CBI Fellow: The postdoc would be expected to advance the state of hardware security, in the direction of novel architectures for homomorphic encryption.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/blanton-shawn.html

Sauvik Das

Assistant Professor Human-Computer Interaction Institute

Research Areas:

1) Human-centered security and privacy

2) Subversive AI / Anti-surveillance technologies

3) Ethical decentralization / cryptocurrencies

Intention for CBI Fellow: The postdoc would have the flexibility to contribute and expand the scope of research pursued in the group in area of privacy aspects human interactive systems such as privacy for surveillance cameras, ambient sensing, data collection systems, and the human aspects of security for web 3 and decentralized systems.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/das-sauvik.html

Cleotilde Gonzalez

Research Professor and Founding Director of Dynamic Decision Making Laboratory, Social and Decision Sciences, Dietrich College of Humanities and Social Sciences

Research Areas:

1) Dynamic decision making

2) Behavioral cybersecurity

3) Computational cognitive science

Intention for CBI Fellow: The postdoc is expected to work on advanced algorithms and models of human decision processes, expanding on current research with focus on human-machine teaming.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/gonzalez-cleotilde.html

Limin Jia

Research Professor, Electrical and Computer Engineering

Research Areas:

1) Formal methods

2) Security aspects of web-languages, systems, and API

3) Language based techniques for system security

Intention for CBI Fellow: The postdoc would have the flexibility to contribute and expand the scope of research pursued in the group, e.g. in area of formal methods, taint tracking, attacks in Javascript systems/Node JS, information flow security for smart home devices.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/jia-limin.html

Bryan Parno

Associate Professor, Computer Science Department, Electrical and Computer Engineering

Research Areas:

1) Building practical, provably security systems

2) Formal verification

3) Applied cryptography

Intention for CBI Fellow: The postdoc will work to develop provably correct and secure systems at scale by applying, developing, and advancing formal verification tools.

Faculty profile:

https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/parno-bryan.html

Corina Pasareanu

Principal Systems Scientist, CyLab

Research Areas:

1) Safe and robust AI

2) Certifiable compliance and robustness of neural networks

3) Explainable and trustworthy AI

Intention for CBI Fellow: The postdoc will play a key role in developing evaluation tools needed for the analysis of end-to-end autonomous systems, as well as developing incremental methods for certifying fine-tuned models.

Faculty profile:

https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/pasareanu-corina.html

Jon Peha

Professor, Engineering and Public Policy, Electrical and Computer Engineering

Research Areas:

1) Privacy aspects of future wireless systems

2) Privacy preserving resource allocation

Intention for CBI Fellow: The postdoc will contribute to enhancing the privacy aspects of spectrum sharing in wireless networks. This includes analyzing attacks and proposing and demonstrating novel techniques for privacy preserving resource allocation in shared-spectrum systems and future wireless systems

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/peha-jon.html

Norman Sadeh

Professor, Software and Societal Systems, CyLab Co-Director, Privacy Engineering Program

Research Areas:

1) Usable privacy

2) Human assistants for privacy

3) Privacy aspects of IoT systems

Intention for CBI Fellow: The postdoc would have the flexibility to contribute and expand the scope of research pursued in the group in the area of design and validation privacy agents for human decisions and assistance and data collection and studying the public policy aspects of such systems.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/sadeh-norman.html

Elaine Shi

Associate Professor, Computer Science Department, Electrical and Computer Engineering

Research Areas:

1) Privacy preserving computation and AI

2) Privacy enhancing technologies (MPC, ZK proofs, PIR)

3) Scalable security

Intention for CBI Fellow: The postdoc will be working towards making theoretical and/or practical advances and scalability issues for privacy enhancing technologies (MPC, ZK proofs, PIR)

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/shi-elaine.html

Bryan Wilder

Assistant Professor, Machine Learning

Research Areas:

1) AI for decision making in healthcare

2) Fairness in AI

3) Optimization under resource constraints

Intention for CBI Fellow: The postdoc will join one of two main research directions: 1) Developing methods that integrate machine learning and optimization to improve decision-making under resource constraints; 2) Leveraging large healthcare-related data to inform epidemic response.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/wilder-bryan.html

Steven Wu

Assistant Professor, Human-Computer Interaction Institute, Software and Societal Systems, Machine Learning

Research Areas:

1) Differential privacy

2) Fairness + Privacy in AI systems

3) Privacy preserving machine learning

4) Privacy preserving synthetic data generation

Intention for CBI Fellow: The postdoc will be responsible for theoretical and applied contributions at the intersection of privacy and AI systems, namely training with differential privacy constraints, privacy for model personalization, and differentially private synthetic data generation.

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/wu-steven.html

Wenting Zheng

Assistant Professor, Computer Science Department

Research Areas:

1) Applied cryptography

2) Privacy preserving computing technology

Intention for CBI Fellow: The postdoc will be responsible for advancing the theoretical and practical aspects of privacy preserving computing systems

Faculty profile: https://carnegiebosch.cmu.edu/fellowships/facultydirectory/bios/zheng-wenting.html