Computer Science Guided Research (2014)

Table of Contents

Guided Research Timeline

CS Guided Research 2014 Timeline
Introduction2013-09-09 (Monday)
Topic selection2013-10-01 (Tuesday)
Proposal submission2013-12-06 (Friday)
(Proposal submission 1)2014-03-09 (Sunday)
Thesis submission2014-05-11 (Sunday)
Presentations2014-05-15 (Thursday)
Presentations2014-05-16 (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 <>.

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 Students

Guided Research Students
Uneeb Adeel AghaPathak
Johannes Gabriel BachhuberBaumannIntegrating Array Queries into SQL
Mihai BaltacBirk?
Victoria BeleutaSchoenwaelderGeneration of test cases from YANG data models
Georgian BesleagaLinsen?
Joshan ChaudharyBaumannWeb-Based scientific data ingestion
Loredana Mihaela DiaconuJaeger?
Andrei-George GiurgiuKohlhase?
Georgi GyurchevLinsen?
Risav KarnaBaumannBig Data Gang
Jana KohlhaseBaumannImplementation of a Climate Data Service
Nikolche KolevBaumannImplementation a general array join algorithm
Dominik KundelBaumannPlanetServer
Andra Lidia LezzaKohlhaseSemantification and semantic interactions in spreadsheets
Asfandyar Ashraf MalikBirk?
Yonathan Negussie MengeshaBirk?
George MerticariuBaumannKeeping 1000 Nodes Busy
Andrei Iulian MilitaruLinsen?
Manuela Ivanova MitevaLinsenVisualization of stress and strain of bridges in point cloud representation
Amos Rweyemamu MushumbusiBaumannTowards a Benchmark for Array Databases
Catalin Florian PerticasPathak?
Tomas PllahaJaeger?
Andreea Ioana PopaLinsen?
Teodor RupiLinsen?
Muhammad Omer SaeedLinsen?
Krishna Raj SapkotaPathak?
Sudhashree SayenjuLinsenVisualization of similarity of hierarchically organized objects
Valeriu Octavian SchneiderLinsen?
Bektursun Muktarovich TagaevLinsen?
Bishesh TiwareeKohlhase?
Alexandru Valentin ToaderKohlhaseSpreadsheet assessment
Samit VaidyaLinsenTopological landscapes for time-varying volume data

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

Thursday, 2014-05-15, West Hall 1 / East Hall 8
409:25WH1Alexandru Valentin ToaderKohlhaseAssessment Service for Spreadsheet Documents
509:50WH1Krishna Raj SapkotaPathakPath Planning and Navigation in Aerial Robots Using Image Based Map in Indoor Environments
610:25WH1Victoria BeleutaSchönwälderGeneration of Test Cases from YANG Data Models
811:15WH1Sudhashree SayenjuLinsenVisualization of Similarity of Hierarchically Organized Objects
911:40WH1Samit VaidyaLinsenTopological Landscapes for Time-varying Volume Data
1012:05WH1Andreea PopaLinsenCompact Point-Cloud Representation of Isosurface Spectrum for Efficient Surface Rendering
1113:10WH1Teodor RupiLinsenAnimation of Fracture on Physically-based Deformation of Elastoplastic Materials using Finite Element Method
1213:35WH1Muhammad Omer SaeedLinsenEfficient Collision Detection in a Scene with Static and Dynamic Objects (and its Application to Chewing Simulation)
1314:00WH1Georgian BesleagaLinsenModeling Physically-based Deformations using Mass Spring Systems
1414:25WH1Andrei MilitaruLinsenIntrinsic Decomposition of 3D Laser Scans
1514:50WH1Georgi GyurchevLinsenCrack Detection in Photographs of Concrete Surfaces and Visualization in Point Clouds
1615:25EH8Manuela MitevaLinsenVisualization of Stress and Strain of Bridges in Point Cloud Representation
1715:50EH8Valeriu SchneiderLinsenMulti-touch User Interaction in Navigation through Point-based Renderings
1816:15EH8Prabal PoudelLinsenUncertainty in Electromagnetic Tracking: Estimation, Visualization and Correction

Friday, 2014-05-16, East Hall 6

Friday, 2014-05-16, East Hall 6
108:10EH6Bishesh TiwareeKohlhasePalette-based Input Facility for Content-MathML Editor
208:35EH6Mihai BaltacBirkEyebrow Detection for Expression Analysis using the Kinect
309:00EH6Carmela AcevedoKohlhaseOpenMathMap Interaction
409:25EH6Andra Lidia LezzaKohlhaseCreating Semantic Interactions in Airbus Spreadsheet Reports
610:25EH6George MerticariuBaumannKeeping 1000 Nodes Busy
710:50EH6Johannes Gabriel BachhuberBaumannIntegrating Array Queries into SQL
811:15EH6Jana KohlhaseBaumannImplementation of a Climate Data Service
911:40EH6Joshan ChaudharyBaumannWeb-based Scientific Data Ingestion
1012:05EH6Nikolche KolevBaumannImplementation of a General Array Join Algorithm
1113:10EH6Loredana DiaconuJaegerReinforcement learning with a Recurrent Neural Network
1213:35EH6Tomas PllahaJaegerLearning to Accompany Music with a Recurrent Neural Network
1314:00EH6Dominik KundelBaumannDeveloping Guidelines for Performance Improvement, Mobile Development and Feature Implementation for PlanetServer
1414:25EH6Risav KarnaBaumannUnified Access Architecture for Large Scale Scientific Datasets
1514:50EH6Amos Rweyemamu MushumbusiBaumannTowards a Benchmark for Array Databases
1615:25EH6Yonathan Negussie MengeshaBirkHuman Pose Recognition in Underwater Video Sequences using Reproductive Perception
1715:50EH6Catalin PerticasPathakUsing Uncertain Polygon Overlap to Speed Up Planar Patches 3D Mapping
1816:15EH6Unneeb Adeel AghaPathakInvestigation of Kernel Density Modes for Merging Atomic Patches in the Mean-Shift Segmentation-Graph of an RGB-D Scan


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

Date: 2014-05-15T09:26+0200

Author: Jürgen Schönwälder

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