School of Arts and Sciences, Computer Science

Fingerprint Dive into the research topics where School of Arts and Sciences, Computer Science is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

Data storage equipment Engineering & Materials Science
Experiments Engineering & Materials Science
Semantics Engineering & Materials Science
Communication Engineering & Materials Science
Polynomials Engineering & Materials Science
Costs Engineering & Materials Science
Scheduling Engineering & Materials Science
Motion planning Engineering & Materials Science

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Profiles

No photo of Mridul Aanjaneya

Mridul Aanjaneya

Person

20092018
No photo of James Abello Monedero

James Abello Monedero

Person

19932019
No photo of Sungjin Ahn

Sungjin Ahn

Person

20052019

Projects 2008 2021

Aitf: Collaborative Research: Topological Algorithms For 3D/4D Cardiac Images: Understanding Complex And Dynamic Structures

Metaxas, D.

National Science Foundation (NSF)

9/15/17 → 8/31/20

Project: Research project

Image understanding
Topology
Students
Image analysis
Muscle

Chs: Medium: Data Driven Biomechanically Accurate Modeling Of Human Gait On Unconstrained Terrain

Metaxas, D.

National Science Foundation (NSF)

9/1/17 → 8/31/20

Project: Research project

Kinematics
Biomechanics
Ergonomics
Animation
Virtual reality

Nri: Fnd: Collaborative Multi-Robot Systems With Provable Availability, Safety, And Optimality Guarantees

Yu, J.

National Science Foundation (NSF)

9/1/17 → 8/31/20

Project: Research project

Availability
Robots
Motion planning
Containers
Robot applications

Research Output 1969 2019

2019 IEEE International Congress on Internet of Things: Message from the Chairs

Dustdar, S., Parashar, M., Nepal, S. & Kim, D. S., Jul 2019, In : Proceedings - 2019 IEEE International Congress on Internet of Things, ICIOT 2019 - Part of the 2019 IEEE World Congress on Services. p. xvii 8815668.

Research output: Contribution to journal › Editorial

Internet of things

3D LV Probabilistic Segmentation in Cardiac MRI Using Generative Adversarial Network

Yang, D., Liu, B., Axel, L. & Metaxas, D., Jan 1 2019, Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. Li, S., Mansi, T., McLeod, K., Pop, M., Zhao, J., Sermesant, M., Young, A. & Rhode, K. (eds.). Springer Verlag, p. 181-190 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11395 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Left Ventricle
Magnetic Resonance Imaging
Magnetic resonance
Cardiac
Segmentation
1 Citation (Scopus)

Achieving optimal backlog in multi-processor cup games

Bender, M. A., Farach-Colton, M. & Kuszmaul, W., Jun 23 2019, STOC 2019 - Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing. Charikar, M. & Cohen, E. (eds.). Association for Computing Machinery, p. 1148-1157 10 p. (Proceedings of the Annual ACM Symposium on Theory of Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Water
Fillers
Scheduling