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The CS Department held its second Conference on January 31, 2019. The Conference included a keynote talk, given by Mike Davies, The Director of Neuromorphic Division at Intel Labs, a panel discussion on "Brain-integrative AI" and poster presentations.

HackRU Spring 2019 registration is open at! HackRU is a 24-hour hackathon at Rutgers University. We welcome hundreds of students to join us in building awesome software and hardware projects.

The Department of Computer Science is excited to welcome five new tenure-track faculty members.

The CS Conference Awards Committee announced the best poster Awards, which recognize the research posters that shined in the inaugural CS Conference, held on December 13, 2017 at CoRE lobby, Busch campus.

The CS Conference Awards honored excellence in two special categories – Undergraduate Poster and Graduate Poster. Posters were judged based on technical merit, originality, potential impact on their respective field and society at large, as well as clarity and quality of the poster presentation.

Congratulations to:

The Department of Computer Science is excited to announce that Dr. George Moustakides will be joining its ranks and will be co-directing the Professional MS Program in Data Science:

The Department of Computer Science is excited to announce that the following three faculty members will be joining its ranks:

MSCS Awards 2017 Spring


HackHERS is the annual women-centric and beginner oriented hackathon held every Spring right here at Rutgers University! Our goal is to create a space in which women can explore tech culture and be empowered to create with code. All genders are allowed to participate because closing the gender gap requires everyone's contribution. For 24 hours, students from various Universities come together to learn and to create some wonderful and useful applications. Some examples of projects that were demoed are an app that taught programming using art, combining the creative and the technical side!

DATE: Friday, May 12th, 2017
Location: Rutgers, Busch Campus, CoRE building Auditorium (Directions)


Professor Michael D. Grigoriadis graduated from Robert College in Istanbul in 1958 with a degree in Civil Engineering. He emigrated to US in 1958 to study at Lehigh University, PA. He was awarded a fellowship from IBM to study for his Ph.D  in Computer Science, which he completed in 1970 at University of Wisconsin, Madison. His thesis was on structured nonlinear programming, written under the supervision of Professor J.B. Rosen, who was well-known for his work on gradient projection method.  


The Department of Computer Science is deeply saddened to report that Prof. Liviu Iftode passed away on February 16, 2017. Liviu was a beloved and highly respected member of the Rutgers CS faculty, and mentored numerous students over the years.

The real-time data feeds from these two large-scale platforms present unprecedented opportunities for us to study vehicular networking at extraly-large scale in a real-time fashion. For example, real-time traffic modeling at national scale is essential to many applications, but its calibration is extremely challenging due to its large spatial and fine temporal coverage.


Summary of the project:

Outdoor robots, such as search-and-rescue robots and planetary rovers, often need to grasp and push objects such as debris and rocks that have irregular shapes. While most object manipulation techniques require mechanical or geometric models of the objects, objects that are encountered in outdoor environments do not typically have any known models.

HackRU is the biannual, 24-hour hackathon at Rutgers University. It is the largest educational event hosted at Rutgers, and the second longest-running student-run hackathon in the nation. Hosted by the Undergraduate Student Alliance of Computer Scientists (USACS), HackRU welcome hundreds of students of all skill levels and backgrounds to the Banks for a weekend dedicated to building awesome software and hardware projects.

The CAVE has ten iLab computers, couches, chairs, a ten person bungee conference room table, large amounts of whiteboard space and a 60" LCD HDTV for gaming and presentations.  There's also a PS3 for gaming, two rolling whiteboards, a projector for presentations and an eighty-eight inch SMART board.  It's one part collaborative computer lab, one part CS student lounge and one part recitation/presentation space.  The CAVE acts as the unoffi

We introduce a new mobile sensor scheduling problem involving a robot tasked to monitor several events occurring at spatially distributed locations. Of particular interest is the monitoring of transient events of stochastic nature, with applications ranging from natural phenomena (e.g., monitoring abnormal seismic activity around a volcano using a ground robot) to urban activities (e.g., monitoring early formations of traffic congestion using an aerial robot). Here, these stochastic arrival processes are modeled as an independent Poisson processes with various inter-arrival rates.

Next-generation steering algorithms will need to support thousands of believable individual agents, capable of steering in very challenging situations with low-latency reactions.

We present ADAPT, a flexible platform for designing and authoring functional, purposeful human characters in a rich virtual environment. Our framework incorporates character animation, navigation, and behavior with modular interchangeable components to produce narrative scenes. Our animation system provides locomotion, reaching, gaze tracking, gesturing, sitting, and reactions to external physical forces, and can easily be extended with more functionality due to a decoupled, modular structure.

We propose an event-centric planning framework for directing interactive narratives in complex 3D environments populated by virtual humans. Events facilitate precise authorial control over complex interactions involving groups of actors and objects, while planning allows the simulation of causally consistent character actions that conform to an overarching global narrative.

We approach the challenging problem of discovering influences between painters based on their fine-art paintings. In this work, we focus on comparing paintings of two painters in terms of visual similarity. This comparison is fully automatic and based on computer vision approaches and machine learning. We investigated different visual features and similarity measurements based on two different metric learning algorithm to find the most appropriate ones that follow artistic motifs.

Following a heart attack or the development of some cardiovascular diseases, the movement of the heart walls during the cardiac cycle may change, which affects the motion of blood through the heart, potentially leading to an increased risk of thrombus.

Accurate face tracking and 3D head pose prediction (shown in top left as a 3D vector of pitch, yaw and tilt) while the face is making various facial expressions as well as out of plane rotations. The 79 tracked landmarks corresponding to the eyes, eyebrows, nose, mouth and face contour are shown as red dots.