EFFORT MODELING FOR REINFORCEMENT LEARNING 04/18-ncheema/CV.pdf · SELECTED SE RVICE & VO LUNTEERI...
Transcript of EFFORT MODELING FOR REINFORCEMENT LEARNING 04/18-ncheema/CV.pdf · SELECTED SE RVICE & VO LUNTEERI...
N O S H A B A - C H E E M A -
CONTACT
Homepagehttps://mpi-inf.mpg.de/~ncheema/
Saarland Uni & Intl. Max-Planck Re-search School for Computer Science04/16-present » Visual Computing M. Sc. » Computer Science M. Sc.
GPA German: 1.7, GPA US: ~3.5
EDUCATION
Ney York University - School of Engineering09/14-12/14 » Foreign semester
GPA US: 3.7, GPA German: ~1.4
University of Appl. Sciences Bremen09/12-06/16 » Media Computer Science B. Sc.
GPA German: 1.3, GPA US: ~3.8
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Aalto University - School of Science04/18-09/18 » Master-Thesis Student
TECHNICAL SKILLS
C++ ●●●●○ Python ●●●●○ Matlab ●●●●○ C# ●●●●○ Java ●●●●○
Swift ●●●○○ PHP ●●●○○ CUDA ●●●○○ JavaScript ●●○○○ React-Native ●●○○○
Libraries
OpenGL, OpenMP, .NET, Unity
Operating SystemsWindows 7, 8, 10; Ubuntu 14.04 LTS, 16.04 LTS; Mac OS X; iOS; Android
Programming Languages
Beginner ●●●○○ Expert
LANGUAGE SKILLS
(experienced), Punjabi (fundamental)
EFFORT MODELING FOR REINFORCEMENT LEARNINGVisiting Researcher at Aalto University &
» Implementation of Three-Compartment Model by Frey et al. using Monte Carlo in-formed tree search by Rajamäki & Hämäläinen for reinforcement learning.
» Control cost is computed according to current target load and fatigue levels. » Maximum torque allowed at a joint is computed according to current fatigue levels. » Fatigue levels are computed using Three-Compartment Model.
Languages used: C++Frameworks & Libraries used: Open Dynamics Engine
Reference: Prof. Dr. Perttu Hämäläinen - Prof. Dr. Jaakko Lehtinen - [email protected]
SEMANTIC SEGMENTATION OF MOTION CAPTURE DATA
»semantic segmentation of motion capturing data.
» Implementation of motion capture data to RGB image representation. » » Training was done on clean, as well as noisy labels.
Languages used: Python
Reference: Prof. Dr. Philipp Slusallek - [email protected]
NEURO-COMPUTATION IN THE VISUAL PERIPHERY Research Assistant at University of Bremen &
» Implemented new Caffe layer to compute local summary statistics to synthesize foveat-ed versions from white noise of given input images.
» Synthesis was done with a synthesis-by-analysis algorithm using the L-BFGS-B optimizer. The gradient with respect to the input image was computed with the standard for-ward-backward pass of the neural network.
» Determined optimal layer for statistical representations in VGG-networks to use for tex-ture and foveated image synthesis.
Languages used: Python, C++ & CUDAFrameworks & Libraries used: BVLC Caffe
Reference: Dr. Christoph Zetzsche - [email protected]
RAYTRACING-ENGINECourse Project
» Acceleration using BVH structure with Surface Area Heuristic & OpenMP for-loops. » Support of the following materials: mirror material (fuzzy & normal), glass, combined
materials, cook-torrence material, textures, procedural textures. » Support of the following lights: Area light, projective light. » Support of the following cameras: Projective, Orthographic, Fish-Eye, Depth of Field
(using distributed raytracing). » Support of custom 3D rigid body physics engine with distance joints.
Languages used: C++Frameworks & Libraries used: SFML 2.2 & OpenMP
Reference: Prof. Dr. Philipp Slusallek - [email protected]
2D-GAME-ENGINEPersonal Open Source Project
» Acceleration using Quadtree, Spawners, Look-Up-Tables, GPU shaders. » Support of circles, and convex & concave polyhrdrons. » . » Rigid body collision done via seperating axis theorem & voronoi regions. » Support of distance & seesaw joints.
Languages used: C# & GLSLFrameworks & Libraries used: SFML 2.2, .NET & OpenMPRepository: github.com/noshaba/2D-GameEngine
Reference: Thomas Jahn - [email protected]
RELEVENT PROJECTS
04/18-present
11/17-present
09/15-03/17
10/16-02/17
03/15-07/15
University of Bremen - Cognitive Neuroinformatics09/15-03/17 » Student Research Assistant
See: Project - “Neuro-computation in the visual periphery“ & recent papersReference:Dr. Christoph [email protected]
RECENT POSIT IONS
Intelligence Bremen (DFKI GmbH)09/15-12/15 » Intern
See: Project - “Neuro-computation in the visual periphery“ & recent papersReference:Prof. Dr. Udo [email protected]
University of Applied Sciences BremenSummer Term 2014 & 2015 » Applied Mathematics
Supervisor: Prof. Dr. Martin [email protected]
TEACHING
Intelligence Saarbrücken (DFKI GmbH)11/17 - present » Research Assistant
See: Project - “Semantic segmentation of motion capture data“ & recent papersReference:Prof. Dr. Philipp [email protected]
NVIDIA DLI MunichGTC Europe 2017 » Deep Learning classes
Reference: Ana [email protected]
HOBBIES
Painting, Coding, Gaming, 3D Modeling, Cosplaying, Pole Dancing, Cat Videos
Aalto University School of Science04/18 - 09/18 » Visiting Researcher
See: Project - “Effort modeling for reinforcement learning”Reference:Prof. Dr. Perttu Hämäläinen
Prof. Dr. Jaakko [email protected]
University of SaarlandWinter Term 2017 » Basics of Signal Processing
Supervisor: Prof. Dr. Dietrich [email protected]
DILATED TEMPORAL FULLY-CONVOLUTIONAL NEURAL NETWORK FOR SEMANTIC SEGMENTATION OF MOTION CAPTURE DATAACM SIGGRAPH/Eurographics SCA 2018 - Posters (Best Poster Award) » N. Cheema, S. Hosseini, J. Sprenger, E. Herrmann, H. Du, K. Fischer & P. Slusallek
NEURAL COMPUTATION OF STATISTICAL IMAGE PROPERTIES IN PERIPHERAL VISIONMODVIS 2017 » C. Zetzsche, R. Rosenholtz, N. Cheema, K. Gadzicki, L. Fridman & K. Schill
OPTIMUM STATISTICAL REPRESENTATION OBTAINED FROM AN INTERMEDIATE FEATURE LEVEL OF THE VISUAL HIERARCHYPROCEEDINGS OF KOGWIS 2016 » N. Cheema, L. Fridman, R. Rosenholtz & C. Zetzsche
RECENT PUBLICATIONS
ELECTED-STUDENT-COUNCIL-MEMBER 04/17-04/18Compiuter Science Department - Saarland University » Events & PR, elected member from Obtober 2017 to April 2018
Reference: CS Student Council - [email protected]
ESPR17-CAMP-CONSULTANT 02/17-09/17European Summer Program on Rationality 2017 » Organizational member of camp for gifted high-school students
Reference: Jaime Sevilla Molina - [email protected]
SIGGRAPH-STUDENT-VOLUNTEER 07/16-07/16SIGGRAPH 2016 » Volunteer at information booth, papers & VR-village
Reference: Christian Wittorf - [email protected]
NIPS-REVIEWER 06/16-07/16NIPS 2016 » Volunteered to review three papers
Reference: Isabelle Guyon - [email protected]
BEST POSTER PRESENTATION AWARD AT ACM SCA 2018 07/18ACM SIGGRAPH/Eurographics Symposium on Computer Animation 2018
» Best poster presentation award (see papers)Reference: Mélina Skouras - [email protected]
MAX-PLANCK INSTITUTE FOR INFORMATICS FELLOWSHIP 04/16-presentInternational Max-Planck Research School for Computer Science (IMPRS-CS)
» Fellowship from IMPRS-CS at the Max-Planck Institute for InformaticsReference: Jennifer Gerling - [email protected]
DEUTSCHLANDSTIPENDIUM 09/12-02/16University of Applied Sciences Bremen, Telekom Germany & Rotary Club » Scholarship from the German Government & several companies for studies
Reference: Jürgen-Peter Henck - [email protected]
SELECTED SERVICE & VOLUNTEERING
SELECTED AWARDS & SCHOLARSHIPS
Full list of publications, awards & service on https://mpi-inf.mpg.de/~ncheema/
FINE-GRAPHINED SEMANTIC SEGMENTATION OF MOTION CAPTUREDATA USING DILATED TEMPORAL FULLY-CONVOLUTIONAL NETWORKSEurographics 2019 - Short Papers » N. Cheema, S. Hosseini, J. Sprenger, E. Herrmann, H. Du, K. Fischer & P. Slusallek
ADAPTIVE GAUSSIAN MIXTURE TRAJECTORY MODEL FOR PHYSICAL MODEL CONTROL USING MOTION CAPTURE DATAACM SIGGRAPH Symosium on Interactive3D Graphics and Games 2019 » E. Herrmann, H. Du, N. Cheema , J. Sprenger, S. Hosseini, K. Fischer & P. Slusallek