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Intelligent Systems

Associated Projects

Yongfeng Zhang

Every tens of years the fundemental philosophy that drives the reserach of machine intelligence shifts between empirism and rationalism.

With the continuous shifting of human activities from offline to online, the Web is no longer just a platform for information sharing and transmission, but a huge online economy where various produ

Among the many techniques that compose an intelligent Web, a Conversational System (such as Google Now, Apple Siri, and Microsoft Cortana) is one that serves as the direct interactive portal for en

Explainable Recommendation and Search refers to the personalized recommendation and search algorithms that not only provide the user with the search and recommendation results, but also let the use

James Abello Monedero

Humans can help computers find better answers faster

Mubbasir Kapadia

We develop computational tools to assist end users to create and experience co

Our research aims to develop integrated solutions for full-body character anim

We develop algorithms for multi-agent motion planning in real-time dynamic env

In order to rigorously evaluate and compare crowd models, we have developed to

We develop models for simulating realistic, believable crowds.

Dimitris Metaxas

Facial Expression Recognition

Accurate face tracking and 3D head pose prediction

Organ shape plays an important role in various clinical practices such as segmentation.

Biomedical Image Analysis Projects.

The first video demonstrats detection of a wh-question non-manual marker. Tracked face and head is shown on left, while the right image shows the extracted spatial pyramid features. Red bars indicate detection of the wh non-manual marker, while blue bars indicate that the system detects no wh non-manual marker.

Konstantinos Michmizos

Neurosurgeons have used electrical stimulation since the 60's to locate and distinguish specific brain areas. They soon discovered that stimulation of certain brain nuclei suppresses the symptoms of some neurological disorders. Recent efforts on patient-specific therapeutic approaches revealed the importance of computational methods in guiding deep brain stimulation (DBS), a neuromodulation treatment initially

One of the biggest challenges in neurodevelopmental disorders today is that they remain behaviorally diagnosed disorders. Despite the large amounts of data from the autistic brain and an abundance of experimental evidences for its pathophysiology, no measures robustly depict the observed differences between an autistic and a typically developing brain. Recently, we measured functional connectivity in the somatosensory cortex in typically developing and autistic

The introduction of impedance control in 1985 by Neville Hogan paved the way for a safe, gentle and effective interaction between humans and machines. This interaction is ideal for rehabilitation and is epitomized in the design of manipulanda that pioneered clinical and neurological applications, the most prominent being the MIT-MANUS, developed by Hermano Igo Krebs. Following this line of research, we have recently introduced the MIT's pediatric Anklebot, an adaptive robotic device that provides an “assist-as-needed” therapy and targets ankle movements in children with neurological disorders (Michmizos et al. 2015). Since 2012, the rehabilitation robot has been used successfully in pilot studies in Pediatric Hospitals in the USA and Europe.

Jingjin Yu

This paper introduces a new mobile sensor scheduling problem invol

We study optimal multi-robot path planning on graphs (MPP) over four minimization objectives: the mak

Desheng Zhang

Carpooling has long held the promise of reducing gas consumption by decreasing mileage to deliver co-riders. Although ad hoc carpools already exist in the real world through private arrangements, little research on the topic has been done. In this paper, we present the first systematic work to design, implement, and evaluate a carpool service, called coRide, in a large-scale taxicab network intended to reduce total mileage for less gas consumption.

Under the Smart Cities Initiative from the White House, this project on urban cyber-physical-systems is aimed to address emerging urban mobility challenges by big-data-driven analytics.

Data-driven modeling usually suffers from data sparsity, especially for large-scale modeling for urban phenomena based on single-source urban infrastructure data under fine-grained spatial-temporal contexts.

Real-time human travel pattern modeling is essential to various applications, from mobile networking, to transportation, urban planning and epidemiology.