Tomer Weiss

Tomer Weiss, Ph.D.

Assistant Professor, Informatics & Computer Science
New Jersey Institute of Technology
first.last [at] njit.edu / DBLP / CV / Research Statement

I am an Assistant Professor in the Informatics and Computer Science departments at the New Jersey Institute of Technology, where I have been on faculty since 2020. I completed my Ph.D. in Computer Science at UCLA, advised by Prof. Demetri Terzopoulos, and hold an M.S. from UCLA and a B.S. in Computer Science from Tel Aviv University.

My research develops real-time, scalable algorithms for simulating large virtual environments and the AI agents that populate them with a particular focus on crowd dynamics, physics-based multi-agent simulation, and the synthesis of 3D content. A running theme across my work is closing the gap between virtual and physical reality: making synthetic environments that behave, look, and feel like the real world. This has applications in many areas, from AR/VR, to generative AI.

Research Interests Real-time physics simulation / Multi-agent and crowd dynamics / Generative AI / Computer Vision / AR/VR/XR / 3D content creation

News

Awards & Honors

Publications

2026
Journal of Vision
Vol. 26 · 2026
Visual Clutter: The Role of Item Quantity, Spatial Organization, and Surface Complexity in Model and Human Estimates
Y. Semizer, S. Gopu, and T. Weiss
Journal of Vision, vol. 26, no. 7, p. 11, 2026
2025
Projective Multi-Agent Dynamics
T. Weiss
ACM SIGGRAPH Conference on Motion in Games, 2025
How to Break Crowd Simulation Algorithms
A. Chen and T. Weiss
ACM SIGGRAPH Conference Talks, 2025
Simulating Ant Swarm Aggregation Dynamics
M. Loges and T. Weiss
ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA), 2025
Best Presentation Award — SCA 2025
Foveated Animations for Efficient Crowd Simulation
F. Stancu, T. Weiss, and R. Kuffner dos Anjos
ACM CGIT / I3D, 2025
Best Student Paper Award — I3D 2025
Generalized, Dynamic Multi-agent Torso Crowds
B. Talukdar and T. Weiss
ACM CGIT / I3D, 2025
2024
Learning Crowd Motion Dynamics with Crowds
B. Talukdar, Y. Zhang, and T. Weiss
ACM CGIT / I3D, 2024
Crowd-sourced Evaluation of Combat Animations
Y. Zhang and T. Weiss
IEEE AIxVR, Full Paper Track, 2024
2023
Formation-Aware Planning and Navigation with Corridor Shortest Path Maps
R. Sharma, T. Weiss, and M. Kallmann
Computer Graphics Forum, 2023
Fast Position-based Multi-Agent Group Dynamics
T. Weiss
ACM CGIT / I3D, 2023
2022
Reconstructing Room Scales with a Single Sound for Augmented Reality Displays
B. Liang, A. Liang, I. Roman, T. Weiss, B. Duinkharjav, J. Bello, Q. Sun
Journal of Information Display, 2022
LayoutEnhancer: Generating Good Indoor Layouts from Imperfect Data
K. Leimer, P. Guerrero, T. Weiss, and P. Musialski
ACM SIGGRAPH Asia Conference Proceedings, 2022
2020
Interactive and Scalable Layout Synthesis with Design Templates
H. Farooki, E. Ataer-Cansizoglu, J. Choi, and T. Weiss
IEEE International Conference on Artificial Intelligence & Virtual Reality (AIVR), Industry Paper, 2020
Plane-Based Local Behaviors for Multi-Agent 3D Simulations with Position-Based Dynamics
R. Sharma, T. Weiss, and M. Kallmann
IEEE AIVR 2020, MARCH Workshop: Modeling and Animating Realistic Crowds and Humans
Interactive Design of Gallery Walls via Mixed Reality
H. Huang, Y. Zhang, T. Weiss, R. Perry, and L. Yu
IEEE AIVR, Session on AI for new interaction, experiences, and applications in VR/AR, 2020
Image-Driven Furniture Style for Interactive 3D Scene Modeling
T. Weiss, I. Yildiz, N. Agarwal, E. Cansizoglu, J. Choi
Computer Graphics Forum, Proceedings of Pacific Graphics, 2020
2019
Implementing Position-Based Real-Time Simulation of Large Crowds
T. Weiss
IEEE AIVR 2019, MARCH Workshop: Modeling and Animating Realistic Crowds and Humans
Room Style Estimation for Style-Aware Recommendation
E. Cansizoglu, H. Liu, T. Weiss, A. Mitra, D. Dholakia, J. Choi, D. Wulin
IEEE International Conference on Artificial Intelligence & Virtual Reality (AIVR), 2019
2018
Deep Learning of Biomimetic Sensorimotor Control for Biomechanical Human Animation
M. Nakada, T. Zhao, H. Chen, T. Weiss, D. Terzopoulos
ACM Transactions on Graphics (SIGGRAPH), 2018
Position-Based Real-Time Simulation of Large Crowds
T. Weiss, A. Litteneker, C. Jiang, D. Terzopoulos
Computers and Graphics, 2018
Fast and Scalable Position-Based Layout Synthesis
T. Weiss, A. Litteneker, N. Duncan, M. Nakada, C. Jiang, L. Yu, D. Terzopoulos
IEEE TVCG, 2018 / CVPR Workshop, 2018
2017
Position-Based Multi-Agent Dynamics for Real-Time Crowd Simulation
T. Weiss, A. Litteneker, C. Jiang, D. Terzopoulos
ACM SIGGRAPH Motion in Games (MIG), 2017 / SCA Extended Abstract, 2017
Best Paper Award — MIG 2017
Automated Layout Synthesis and Visualization From Images of Interior or Exterior Spaces
T. Weiss, M. Nakada, D. Terzopoulos
Vision Meets Cognition Workshop, IEEE CVPR, 2017
Book Chapters
Real-Time Simulation of Massive Crowds
T. Weiss
Chapter 13 in GPU Zen 3: Advanced Rendering Techniques, ed. W. F. Engel. GPU Zen series, Book 3, 2024
Style Similarity as Feedback for Product Design
M. Schwartz, T. Weiss, E. Ataer-Cansizoglu, and J.-W. Choi
A New Perspective of Cultural DNA, pp. 27–42. Springer Singapore, 2020

For a more complete list see Google Scholar.

Opportunities

Existing NJIT undergrad or MS students in Computer Science or Informatics interested in collaborating must first enroll in IT 360. We do not have positions for students who have not completed this course. Project-based independent study opportunities (with or without academic credit) are available.

New Jersey high school students should have background in computer graphics — a game, visual application, shader, or similar — and proficiency in at least two of: Python, C++, C#, Java, Lua, or JavaScript.

Prospective PhD students should apply to the Information Systems PhD program at NJIT.

We currently have no positions for external applicants — students who have finished their BS, MS, or PhD outside NJIT and are seeking visiting, summer, or postdoctoral positions.

Team & Alumni

Current
Anderson Roudrigez (Undergrad, 2026-)  ·  Derek You (Highschool, 2025–)  ·  Alexander Chen (Highschool, 2024-26)

Alumni
Hameedullah Farooki (Undergrad, 2020)  ·  Donovan Westwater (Undergrad, 2020)  ·  Anuraag Godavari (Undergrad, 2021)  ·  Muhammed Waggeh (Undergrad, 2020-21)  ·  Tejasi Thool (Undergrad, 2021)  ·  Daniel Long (High School, 2022)  ·  Sreyas Voruganti (High School, 2022)  ·  Jeremy Convocar (Undergrad, 2024)  ·  Matthew Loges (Undergrad, 2024-25)  ·  Bilas Talukdar (Doctoral, 2021–26)  ·  Yunhao Zhang (Doctoral, 2020–25)

Industry Collaborations

Wayfair Autodesk Research Amazon Search Bloomberg