Affiliate Faculty

Precision engineering; mechatronics; flexure mechanisms; high-precision high-bandwidth motion systems for applications in nanometrology and nanomanufacturing; MEMS sensors and actuators; minimally invasive surgery.

Connected and Automated Vehicle Technologies, Human Factors, Bid Data, Driver Behavior Modeling, Vulnerable Road Users, and User Interface.

Science fiction and speculative prototyping, tangible interfaces/haptics, biomimetic and social robotics, social interfaces/networks, generative/algorithmic art and design, and technology ethics.

Natural language processing, Human-robot communication, Artificial Intelligence.

Robotic exploration of space with emphasis on design optimization, sensor systems, communication networks, and novel nanosatellite missions.

Autonomous vehicles, teleoperation, system dynamics and control, multibody dynamics, energy management, mathematical modeling.

Computer vision and image processing, Bayesian filtering and smoothing, simultaneous localization and mapping.

Formal verification of cyber-physical systems, aerospace software systems, logics and semantics of programming languages, programming with coinductive types, software security.

Statistical methods for quality and reliability engineering with the focus on distributed sensing, dynamic system modeling, online monitoring and diagnosis, and optimal decision-making for improving system design, operations, and maintenance strategies.

Collaborative autonomous robots for construction, inspection, and maintenance of civil infrastructure.

Rehabilitation robotics, passive robots, wearable and mobile devices, low-cost technologies, neural plasticity, motor control.

System and control theory; discrete event systems; cyber-physical systems. Supervisory control, fault diagnosis, security and privacy in control systems. Formal methods of control. Application to automated and autonomous systems, multi-agent systems, software systems, and computer systems.

Human Robot Collaboration in Construction, Markerless Motion Capture, Brain Robot Interface

Artificial intelligence, signal and image processing, robotics and computer vision.

Robotic applications in architecture and construction, large-scale digital fabrication, offline simulation tool development, online control and sensing, algorithmic and parametric design workflows.

Automation and robotics, particularly as it applies to building sciences and construction engineering. Deploying autonomous robots for environmental data collection in buildings to facilitate automated control of building HVAC systems. Automated construction of built infrastructure in unstructured conditions with large tolerances and weak metrology, enabling human-robot collaboration in complex collaborative tasks.

Natural language processing, computational social sciences, multimodal tracking and understanding of human behavior. Human-Robot interaction.

Magnetometer and integrated sensor development for localization and navigation, with applications for indoor, underground, underwater and other GPS denied environments.

Audio-visual modeling of human behavior focusing on emotion. Focus on assistive speech-based technologies.

Mobile robotics, position estimation, sensor fusion, simulation, adaptive systems, control systems and digital signal processing. This research enables projects in the fields of accurate localization and tracking systems for mobile robots and humans.

Manufacturing Automation: with key applications in 3-D printing, nano-positioning, machining, and smart manufacturing systems; Vehicle Automation: with key applications in electric power assist steering, steer-by-wire, and electric vehicle charging.

Design, fabrication, dynamics, sensing, and control of microscale systems, including autonomous, millimeter-scale micro-robots.

Machine perception, clustering and classification, tracking, navigation, planning, and map building.

Nonlinear dynamics and control, time delay systems, reinforcement learning, connected and automated vehicles, traffic flow, biological networks.

Computer vision, multimodal learning, tactile sensing

Bioinspired materials for robotics, adaptive soft materials, small-scale actuation, soft robotics, self-healing robots, biodegradable microrobots

Human motion tracking and simulation; grasp modeling; computational modeling of perception, cognition, and motor action; driving monitoring and simulation.

Study of bio-inspired robotics and new methods and mechanisms for control. Scientific study of animal and human locomotion based on nonlinear dynamical systems, and application to design of legged robotic vehicles and other devices.

Robust control theory which focuses on the impact of model uncertainty on systems design. Co-author of the Robust Control Toolbox in Matlab. Developing theoretical and numerical algorithms to assess the robustness of systems on finite time horizons and use of robust control techniques to better understand optimization algorithms and model-free reinforcement learning methods. Includes advanced control techniques for wind turbines, fault-detection methods for safety-critical systems and robust control of disk drives.

Reinforcement learning and planning approaches to building artificial agents that can learn from experience to act autonomously in complex, stochastic, and partially-known environments.

Perception, control, and online learning, as well as online combinatorial and distributed optimization, with applications to robotics, cyber-physical systems, and self-reconfigurable aerial systems.

Bipedal locomotion, biomechanics, energetics, optimal control, computer modeling and simulation, motion analysis.

Retinal Prosthesis for the Blind, Computer Vision for Low-Vision Assistance, Human-Computer Interaction, Visual Electrophysiology, Multi-Sensory Integration.

I study visual perception from multiple perspectives: human vision, computer vision, robotic vision, and artistic vision. To me, visual perception presents not just a fascinating computational problem, but more importantly an intelligent solution for large-scale data mining and pattern recognition applications.

Soft robots and human-compatible machines; swarm robots and collective intelligence; robots in extreme environments; far-from-equilibrium physics, long timescale phenomena, and rare events; physics and chemistry of liquids and complex fluids, especially under interfacial/non-equilibrium/extreme conditions; neutron scattering, sources, and instrumentation

Embedded hardware and accelerator design for machine learning and robotics.