Faculty Directory

Manocha, Dinesh

Manocha, Dinesh

Distinguished University Professor
Paul Chrisman Iribe Professor of Computer Science
Computer Science
University of Maryland Institute for Advanced Computer Studies
Electrical and Computer Engineering
The Institute for Systems Research
Maryland Robotics Center
5202 Iribe Center

Dinesh Manocha is the Paul Chrisman Iribe Chair in Computer Science & Electrical and Computer Engineering and Distinguished University Professor at the University of Maryland College Park. He is also the Phi Delta Theta/Matthew Mason Distinguished Professor Emeritus of Computer Science at the University of North Carolina - Chapel Hill. He has won many awards, including Alfred P. Sloan Research Fellow, the NSF Career Award, the ONR Young Investigator Award, Google Faculty Awards,  Facebook Faculty Awards, Alibaba Innovation Awards, and the Hettleman Prize for scholarly achievement. His research interests include multi-agent simulation, virtual environments, artificial intelligence, and robotics. His group has developed a number of packages for multi-agent simulation, GPU computing, and physics-based simulation that have been used by hundreds of thousands of users and licensed to more than 60 commercial vendors. He has published more than 600 papers and supervised more than 40 PhD dissertations. He is an inventor of 10 patents, several of which have been licensed to industry. His work has been covered by the New York Times, NPR, Boston Globe, Washington Post, ZDNet, as well as DARPA Legacy Press Release. He is a Fellow of AAAI, AAAS, ACM, and IEEE, member of ACM SIGGRAPH Academy, and Bézier Award from Solid Modeling Association. He received the Distinguished Alumni Award from IIT Delhi and the Distinguished Career in Computer Science Award from Washington Academy of Sciences. He was a co-founder of Impulsonic, a developer of physics-based audio simulation technologies, which was acquired by Valve Inc in November 2016. See http://www.cs.umd.edu/~dm

Manocha received his Ph.D. in computer science from the University of California, Berkeley, in 1992. He received his B. Tech. in computer science and engineering from the Indian Institute of Technology in Delhi, India, in 1987. He also received the Distinguished Alumni Award from the Indian Institute of Technology in Delhi, India.

Honors and Awards 

  • University of Maryland Distinguished University Professor
  • Pierre Bézier Award
  • Fellow, Association for Computing Machinery (ACM)
  • Fellow, Institute of Electrical and Electronics Engineers
  • Fellow, American Association for the Advancement of Science
  • Fellow, Association for the Advancement of Artificial Intelligence
  • NSF CAREER Award
  • Office of Naval Research Young Investigator Award
  • Sloan Research Fellowship
  • IBM Fellowship
  • IGMOD IndySort Winner
  • Honda Research Award
  • UNC Hettleman Prize

 

Artificial intelligence (AI), robotics, graphics visualization, virtual reality, augmented reality, autonomous driving, high performance and scientific computing


His research group developed software packages for physically based modeling, computer-aided design and scientific computing, which have been downloaded by more than 200,000 users worldwide and licensed to more than 55 corporations, including Fortune 500 companies. He is also named as an inventor on nine patents, several of which have been licensed to industry.He also supervised more than 65 master’s and doctoral students. Many of Manocha’s 35 Ph.D. advisees are professors at top universities and group leaders in industry.

Along with two of his former Ph.D. students and Professor Ming Lin, who is now the Elizabeth Stevinson Iribe Chair of Computer Science at UMD, Manocha co-founded the 3D audio startup Impulsonic, which was acquired by Valve Software in 2016. Impulsonic’s product provided the realistic sounds required for a user to feel truly immersed in a virtual world and is available as part of Steam Audio SDK. The sound technologies developed by the researchers have also been used to evaluate the acoustic effects of architectural buildings and to model noise in indoor and outdoor environments.

For another research project, Manocha uses virtual reality and simulation technologies to predict the movement of pedestrians and crowds. These technologies can be used to improve crowd safety and prevent disasters like the 2015 Hajj crowd disaster in Mecca, Saudi Arabia, where more than 2,200 pilgrims died. The multi-agent navigation technologies developed by Manocha’s group have also been integrated into most computer gaming engines.

Working with Boeing, Manocha’s research group modeled passenger behavior during the loading, unloading and evacuation of a commercial aircraft. This type of simulation allows the airlines to experiment with different boarding orders, seating arrangements and overhead layouts to reduce loading and unloading times—and ultimately demonstrate that the aircraft could be safely evacuated in less than 90 seconds, as required by U.S. federal law. This work, which has also been used to analyze crowd videos for surveillance and to estimate crowd sizes, garnered media attention during President Trump’s inauguration.

More recently, Manocha and his students began developing new technologies to simulate the movement and behavior of autonomous vehicles in challenging traffic conditions, such as Beijing or Washington, D.C. The major goal of this work is to predict the navigation and safety capabilities of autonomous cars in crowded scenarios that contain other vehicles, pedestrians and bicycles. Manocha’s group has been collaborating on this project with Intel Corp. and Baidu Inc.

MRC Faculty and Researchers to Present 16 Papers at International Robotics Conference - IROS 2020

International Conference on Intelligent Robots and Systems - From 25 October 2020 until 29 November 2020

$100,000 investment from Amazon to power Clark School initiatives in diversity, robotics research and education

Beneficiaries include two Ph.D. fellowships in robotics, the Center for Minorities in Science and Engineering, a robotics capstone course, the Black Engineers Society and the Society of Professional Hispanic Engineers.

Bera, Manocha and Shim awarded a BBI Seed Grant to examine the role of age and gender on gait-based emotion recognition

Project by three MRC faculty members was one of six that received BBI seed funding this year.

BBI Awards Seed Grants to Six Interdisciplinary Projects

Funded teams feature UMD faculty from 15 academic departments and six centers and institutes

GAMMA Research Group is Developing Novel COVID-19 Prevention Robots

The NSF EAGER project intends to monitor pedestrian movements, using cameras and other sensors, that will automatically check for vital signs to gather reliable data, and investigate techniques to influence the behaviors of pedestrians to change their social behavior using robots.

Bill Fagan named UMD Distinguished University Professor

Fagan is the sixth ISR faculty member to receive the honor.

Dinesh Manocha Named Distinguished University Professor

Manocha has received the highest honor bestowed on tenured faculty members at the University of Maryland.

MRC Researchers to Present 16 Papers at ICRA 2020

International Conference on Robotics and Automation (ICRA) 2020 will be held online from May 31st to August 31st. MRC researchers will be presenting 16 papers at this conference.  

Dinesh Manocha Receives the 2020 Pierre Bézier Award

Manocha receives the 2020 Pierre Bézier Award in recognition of his technically significant and lasting contributions in Solid, Geometric and Physical Modeling and their Applications.

GAMMA Group's Research on Emotional Modeling and Social Robotics Featured in Forbes

Dinesh Manocha and Aniket Bera’s latest development on a socially-intelligent robot known as ProxEmo, has been featured in Forbes.

New model predictive control framework improves reactive navigation for autonomous robots

The framework could be used in navigation algorithms for robots ranging from aerial vehicles to autonomous cars.

RoadTrack algorithm could help autonomous vehicles navigate dense traffic scenarios

The algorithm uses tracking-by-detection approach to detect vehicles and pedestrians, then predict where they are going.

A learning algorithm for training robots' deep neural networks to grasp novel objects

Dinesh Manocha and colleagues' algorithm significantly simplifies the data preparation for learning-based grasping systems and leads to higher qualities of learned grasps.

Workshop focuses on needs of autonomous agent networks

Participants addressed infrastructure requirements of algorithm development and testing for these networks.

Who's walking deceptively? Manocha's team thinks they know.

The researchers developed a data-driven deep neural algorithm for detecting deceptive walking behavior using nonverbal cues like gaits and gestures.

Forecasting traffic for autonomous vehicles

GAMMA research group uses spectral graph analysis and deep learning to predict urban traffic.

Manocha Keynote Speaker at 2019 ODSC Conference

Manocha spoke on “Autonomous Driving: Simulation and Navigation” at the Open Data Science Conference Oct. 29-Nov. 1.

Manocha keynote speaker at 2019 IEEE RO-MAN Conference

Manocha spoke on “Autonomous Driving: Simulation and Navigation.”

Manocha Named to 2019 ACM SIGGRAPH Academy

Manocha was recognized for his contributions to geometric modeling, GPU computing, interactive rendering of large complex scenes, and interactive sound simulation.

Realistic simulator improves safety of self-driving vehicles before road testing

Data-driven tech combines photos, videos, real-world trajectory, and behavioral info into autonomous driving simulator.

Czech prime minister views AI, VR, AR and computer vision research

The visit was hosted by ISR Director William Regli and the university’s Office of International Affairs.

Maryland Robotics Center team demonstrates robots at 2019 AAAS Annual Meeting

AAAS Fellow Dinesh Manocha interviewed; Robo Raven, Robo Crab and Tiny Terps shown to meeting participants.

Dinesh Manocha, developer of geometric and scientific algorithms, is new ISR affiliate

Manocha's research has applications in computer graphics, virtual reality, simulation and robotics.

Maryland researchers awarded DARPA cooperative agreement to develop robotic swarm strategies

Maryland's is among the first “core swarm sprints” projects awarded in DARPA’s OFFensive Swarm-Enabled Tactics (OFFSET) program.

Maryland Robotics Center adds four faculty affiliates

Regli, Manocha, Shoukry and Sochol affiliate with the center.

Association for Computing Machinery (ACM)

  • Fellow, 2009

American Association for the Advancement of Science (AAAS)

  • Fellow, 2011

American Association for Artificial Intelligence

Institute of Electrical and Electronics Engineers (IEEE)

  • Fellow, 2012