I am fascinated by the basic physical learning processes that take place in nature at the micro-scale (e.g. the adaptive emerging feature of metachronal wave in ciliary propulsion); my research focuses on implementing this kind of features in artificial micro-actuators and advanced micro-robots.
I develop machine learning and statistical tools to study cooperative phenomena occurring in brain activity at multiple scales.
I explore programmable self-assembly as an active platform for high throughput, parallel, and distributed (swarm-like) micro- and nano- robotic operations and for high volume manufacturing of multi-component micro- and nano-robots.
I am working on functionalizing magnetic microrobots for bio-medical application, with special emphasis on tetherless energy transfer to actuate microrobot for applications such as hyperthermia and shape transformation
I am working on 3D manipulation magnetic microrobots for active drug release, biomedical microelectromechanical systems for high throughput assays or micromanipulation and BioMechanics. This specifically includes soft micro-swimmers.
My research interests are computer vision, discrete and continuous optimization, and machine learning for physics based simulations.
I have a strong interest in optimization, probabilistic graphical models and deep learning. I am also interested in developing new machine learning models for text and image understanding.
My current research focuses on analyzing dynamic visual scenes and aims to develop efficient and robust methods for the geometric and semantic analysis of scenes captured by multiple videos.
I'm working on Computer Vision
My research focuses on micro-robots that propel through complex biological fluids. I am working on new micro/nano fabrication methods, actuation principles in low Reynolds number hydrodynamics, and exploring potential biomedical applications.
My research interest is in 3D computer vision, specifically in large-scale urban modeling. The goal is to reconstruct and augment cities with semantic and dynamic aspects, and have fun while doing so!
My current research focuses on reconstructing dense 3-d surface geometry, appearance and motion from image sequences.
My research interests include large-scale learning, classification of data to large output spaces aka extreme classification, deep learning, and optimization.
My research focuses on perception for autonomous robotic manipulation and grasping. I am specifically interested in developing methods that are goal-directed, real-time and multi-modal such that they can provide meaningful feedback for execution and learning.
My research concerns bio-inspired construction by collectives of robots. I have designed a system of robots autonomously assembling three-dimensional structures. Now, I aim to extend the potential for long term autonomy by introducing soft durable robots to the field of autonomous construction.
I am passionate about research in machine learning, distributed and large scale optimization, sparse methods, structured prediction and matrix factorizations.
My scientific work focuses on causal inference from empirical data: I develop both theory and methodology that allow us to learn causal relationships from observational (and interventional) data.
I am interested in contact free manipulation based on controlling magnetic interactions between a magnetic field source and a magnetic device. I explore how to model and control devices with an eight-coil magnetic manipulation system designed for human-scale catheter guidance.
I'm working on Computer Vision