FITNESCITY LABS

State-Of-The-Art Visual Analytics And Interactive Data Visualization for Wellness Data

 

Çağatay Demiralp

Çağatay Demiralp

Co-founder and Chief Scientist.

Çağatay Demiralp is the Co-founder and Chief Scientist of Fitnescity

Çağatay is also a visiting scientist at the database group at MIT. Until recently he was with IBM Research. Between 2012-2014, Çağatay was a postdoctoral scholar at Stanford and member of IDL at the University of Washington.

Çağatay obtained his PhD from Brown University. His current research focuses around two themes: 1) Automating visual data exploration for scalable guided data analysis and 2) developing interactive data science tools for iterative visual data and model experimentation. The goal underlying both themes is to help people rapidly explore, understand and reason about their data and models.

Çağatay has worked extensively on building visualization systems and applying machine learning and crowdsourcing to solve data visualization and visual analysis problems in domains.  

 

SELECTED PUBLICATIONS

 

Clustrophile 2: Guided Visual Clustering Analysis.

M. Cavallo, Ç. Demiralp
IEEE TVCG (Proc. VAST), 2019.
pdf · video · bibtex 

 

Task-Based Effectiveness of Basic Visualizations.

B. Saket, A. Endert, Ç. Demiralp
IEEE TVCG, 2018.
pdf · code · bibtex · will be presented at the InfoVis track of IEEE VIS'18

 

Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks.

V. Dibia, Ç. Demiralp
arXiv preprint, 2018.
pdf · software · code · bibtex

 

A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration.

M. Cavallo, Ç. Demiralp
CHI, 2018.
pdf · supplement · big picture · video (17s) · video (5m) · bibtex 

 

Track Xplorer: A System for Visual Analysis of Sensor-based Motor Activity Predictions.

M. Cavallo, Ç. Demiralp
EuroVis, 2018.
pdf · video · bibtex 

 

Foresight: Recommending Visual Insights.

Ç. Demiralp, P. Haas, S. Parthasarathy, T. Pedapati
VLDB & KDD IDEA, 2017.
pdf · bibtex 

 

Foresight: Rapid Data Exploration Through Guideposts.

Ç. Demiralp, P. Haas, S. Parthasarathy, T. Pedapati
IEEE VIS DSIA, 2017.
pdf · bibtex 

 

Task-Based Effectiveness of Basic Visualizations.

B. Saket, A. Endert, Ç. Demiralp
arXiv preprint, 2017.
pdf · code · bibtex

 

Sampling for Scalable Visual Analytics.

B. C. Kwon, J. Verma, P. Haas, Ç. Demiralp
IEEE CG&A 2017.
pdf · bibtex 

 

Exploring Dimensionality Reductions with Forward and Backward Projections.

M. Cavallo, Ç. Demiralp
KDD IDEA, 2017.
pdf · video · bibtex 

 

Track Xplorer: A System for Visual Analysis of Sensor-based Motor Activity Predictions.

M. Cavallo, Ç. Demiralp
IEEE VIS DSIA, 2017.
pdf · video · bibtex 

 

Clustrophile: A Tool for Visual Clustering Analysis.

Ç. Demiralp
KDD IDEA, 2016.
pdf · video · bibtex 

 

The VERP Explorer: A Tool for Exploring Eye Movements of Visual-Cognitive Tasks Using Recurrence Plots.

Ç. Demiralp, J. Cirimele, J. HeerS. K. Card
IEEE Vis ETVIS, 2015 & Chapter in Eye Tracking and Visualization, 2017.
pdf · video · code · bibtex 

 

Perceptual Kernels for Visualization Design.

Ç. Demiralp, M. BernsteinJ. Heer 
IEEE TVCG (Proc. InfoVis), 2014.
pdf · video · code · bibtex · Among Top 4 TVCG Papers Invited to SIGGRAPH'15 

 

Visual Embedding: A Model for Visualization.

Ç. Demiralp, C. E. Scheiddegger, G. L. Kindlmann, D. H. Laidlaw, J. Heer
IEEE Computer Graphics and Applications, 2014.
pdf · code · bibtex 

 

invis: Exploring High-dimensional Sequence Space from In Vitro Selection.

Ç. Demiralp, E. Hayden, J. Hammerbacher, J. Heer
IEEE Symposium on Biological Data Visualization, 2013. 
pdf · video · code · bibtex 

 

Exploring Brain Connectivity with Two-dimensional Neural Maps.

R. Jianu, Ç. Demiralp, D. H. Laidlaw
IEEE Transactions on Visualization and Computer Graphics, 2012.
pdf · video · software · bibtex 

 

Decision Forests for Tissue-specific Segmentation of High-grade Gliomas in Multi-channel MR.

D. Zikic, B. Glocker, E. Konukoglu, A. Criminisi, Ç. Demiralp, J. Shatton, O. Thomas, T. Das, R. Jena, S. Price
MICCAI, 2012. 
pdf · video(alt) · bibtex

 

Generalizing Diffusion Tensor Model Using Probabilistic Inference in Markov Random Fields.

Ç. Demiralp, D. H. Laidlaw
MICCAI Workshop on Computational Diffusion MRI (CDMRI), 2011.
pdf · bibtex

 

Tract-based Probability Densities of Diffusivity Measures in DT-MRI.

Ç. Demiralp, D. H. Laidlaw
MICCAI, 2010.
pdf · bibtex

 

Surface Deformations Driven by Vector-Valued 1-Forms.

G. Taubin, Ç. Demiralp
Shape Modeling International, 2010.
pdf · bibtex

 

Coloring 3D Line Fields Using Boy's Real Projective Plane Immersion.

Ç. Demiralp, J. F. Hughes, D. H. Laidlaw
IEEE Transactions on Visualization and Computer Graphics (Proceedings of SciVis), 2009.
pdf · video · code · bibtex 

 

Exploring 3D DTI Fiber-tracts with Linked 2D representations.

R. Jianu, Ç. Demiralp, D. H. Laidlaw. 
IEEE Transactions on Visualization and Computer Graphics (Proceedings of SciVis), 2009.
pdf · video · software · bibtex 

 

Similarity Coloring of DTI fiber tracts.

Ç. Demiralp and D. H. Laidlaw
MICCAI DMFC Workshop 2009.
pdf · bibtex

 

A Slicing-Based Coherence Measure for Clusters of DTI Integral Curves.

Ç. Demiralp, G. Shakhnarovich, S. Zhang, D. H. Laidlaw. 
MICCAI 2008.
pdf · bibtex

 

CAVE and Fishtank Virtual-Reality Displays: A Qualitative and Quantitative Comparison.

Ç. Demiralp, C. Jackson, D. Karelitz, S. Zhang, D. H. Laidlaw.
IEEE Transactions on Visualization and Computer Graphics, 2006.
pdf · bibtex

 

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