Computer Science Guided Research (2014)

Table of Contents

Guided Research Timeline

Introduction 2013-09-09 (Monday)
Topic selection 2013-10-01 (Tuesday)
Proposal submission 2013-12-06 (Friday)
(Proposal submission 1) 2014-03-09 (Sunday)
Thesis submission 2014-05-11 (Sunday)
Presentations 2014-05-15 (Thursday)
Presentations 2014-05-16 (Friday)

Guided Research Materials

Guided Research Proposal

The preparation of the Guided Research Proposal is the first half of your thesis work. Don't underestimate it! Without a successful preparation phase, by experience, thesis finalization will be less thorough and, hence, less successful. For example, large parts of the Guided Research Proposal will go into the main thesis, related work being a good example.

The preparation phase includes, among others (and obviously somewhat also depending on the particular topic): familiarization with the topic; elaborating background through literature work; related work, and core concepts of the thesis.

Hence, the proposal needs to contain at least these elements (again, to be confirmed with your supervisor): motivation; research issues; relevance of this work ("how will the world be better once your results are available?"); related work, explained and put in relation with your work; a clear description of the second phase's outcome; a discussion about limits and further work (issues spotted, but not addressed in the framework of this thesis); a realistic time plan for the second phase.

Students must select the guided research topic and the supervisor beginning of October (see the timeline above). The choosen topic and supervisor must be communicated by email to Jürgen Schönwälder <j.schoenwaelder@jacobs-university.de>.

Students must submit the guided research proposal at a deadline when classes end (see timeline above). Late submissions of the research proposal or late selection of the topic will be penalized by a grade reduction of 10 percentage points per day late.

Guided Research Thesis

Experience has shown that it is crucial to start work on the guided research topic as soon as possible. It may be very useful to use time during intersession, in particular if still a number of credits need to be earned during the last semester. Starting work on the guided research end of April clearly is too late to achieve good results and in particular to deal with unforseen problems.

The guided research thesis must be submitted via grader. The submission deadline is a hard deadline. Failure to submit the thesis in time will lead to a fail.

Guided Research Presentations

Guided research requires a presentation (worth 20% of the overall grade). Faculty members attending the presentations will together form the grades for the presentations.

Guided research presentations are 15 minutes + 5 minutes discussion. The schedule has 25 minutes for each presentation to allow for time to change laptops etc. In addition, we have scheduled breaks to recover our minds and to makeup any schedule quirks should they arise (we hope not).

Time slots are assigned on a first-come-first-served basis. To apply for a time slot, contact Jürgen Schönwälder and send him your preferred list of time slots, the name of your supervisor, and the title of your talk. Before submitting the list, make sure that the time slots fit the schedule of your supervisor.

Thursday, 2014-05-15, West Hall 1 / East Hall 8

No Time Room Student Supervisor Topic
1 08:10 WH1      
2 08:35 WH1      
3 09:00 WH1      
4 09:25 WH1 Alexandru Valentin Toader Kohlhase Assessment Service for Spreadsheet Documents
5 09:50 WH1 Krishna Raj Sapkota Pathak Path Planning and Navigation in Aerial Robots Using Image Based Map in Indoor Environments
  10:15   --- --- BREAK
6 10:25 WH1 Victoria Beleuta Schönwälder Generation of Test Cases from YANG Data Models
7 10:50 WH1      
8 11:15 WH1 Sudhashree Sayenju Linsen Visualization of Similarity of Hierarchically Organized Objects
9 11:40 WH1 Samit Vaidya Linsen Topological Landscapes for Time-varying Volume Data
10 12:05 WH1 Andreea Popa Linsen Compact Point-Cloud Representation of Isosurface Spectrum for Efficient Surface Rendering
  12:30   --- --- BREAK
11 13:10 WH1 Teodor Rupi Linsen Animation of Fracture on Physically-based Deformation of Elastoplastic Materials using Finite Element Method
12 13:35 WH1 Muhammad Omer Saeed Linsen Efficient Collision Detection in a Scene with Static and Dynamic Objects (and its Application to Chewing Simulation)
13 14:00 WH1 Georgian Besleaga Linsen Modeling Physically-based Deformations using Mass Spring Systems
14 14:25 WH1 Andrei Militaru Linsen Intrinsic Decomposition of 3D Laser Scans
15 14:50 WH1 Georgi Gyurchev Linsen Crack Detection in Photographs of Concrete Surfaces and Visualization in Point Clouds
  15:15       BREAK
16 15:25 EH8 Manuela Miteva Linsen Visualization of Stress and Strain of Bridges in Point Cloud Representation
17 15:50 EH8 Valeriu Schneider Linsen Multi-touch User Interaction in Navigation through Point-based Renderings
18 16:15 EH8 Prabal Poudel Linsen Uncertainty in Electromagnetic Tracking: Estimation, Visualization and Correction
  16:40   ---   END

Friday, 2014-05-16, East Hall 6

No Time Room Student Supervisor Topic
1 08:10 EH6 Bishesh Tiwaree Kohlhase Palette-based Input Facility for Content-MathML Editor
2 08:35 EH6 Mihai Baltac Birk Eyebrow Detection for Expression Analysis using the Kinect
3 09:00 EH6 Carmela Acevedo Kohlhase OpenMathMap Interaction
4 09:25 EH6 Andra Lidia Lezza Kohlhase Creating Semantic Interactions in Airbus Spreadsheet Reports
5 09:50 EH6      
  10:15   --- --- BREAK
6 10:25 EH6 George Merticariu Baumann Keeping 1000 Nodes Busy
7 10:50 EH6 Johannes Gabriel Bachhuber Baumann Integrating Array Queries into SQL
8 11:15 EH6 Jana Kohlhase Baumann Implementation of a Climate Data Service
9 11:40 EH6 Joshan Chaudhary Baumann Web-based Scientific Data Ingestion
10 12:05 EH6 Nikolche Kolev Baumann Implementation of a General Array Join Algorithm
  12:30   --- --- BREAK
11 13:10 EH6 Loredana Diaconu Jaeger Reinforcement learning with a Recurrent Neural Network
12 13:35 EH6 Tomas Pllaha Jaeger Learning to Accompany Music with a Recurrent Neural Network
13 14:00 EH6 Dominik Kundel Baumann Developing Guidelines for Performance Improvement, Mobile Development and Feature Implementation for PlanetServer
14 14:25 EH6 Risav Karna Baumann Unified Access Architecture for Large Scale Scientific Datasets
15 14:50 EH6 Amos Rweyemamu Mushumbusi Baumann Towards a Benchmark for Array Databases
  15:15   --- --- BREAK
16 15:25 EH6 Yonathan Negussie Mengesha Birk Human Pose Recognition in Underwater Video Sequences using Reproductive Perception
17 15:50 EH6 Catalin Perticas Pathak Using Uncertain Polygon Overlap to Speed Up Planar Patches 3D Mapping
18 16:15 EH6 Unneeb Adeel Agha Pathak Investigation of Kernel Density Modes for Merging Atomic Patches in the Mean-Shift Segmentation-Graph of an RGB-D Scan
  16:40 EH6     END

Footnotes:

1

Proposal submission deadline for CMU exchange students or students who failed the Fall proposal course.

Author: Jürgen Schönwälder

Created: 2018-05-24 Thu 15:45

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