3D vision engineer

SUMMARY

I am an experienced engineer looking to apply my passion, skills, and expertise in machine learning and computer vision to a new R&D role. I am passionate about conceiving, designing, and coding solutions to engineering problems at the intersection of computer vision, 3D reconstruction, and machine learning. I am eager to work to apply my skills and experience in a collaborative environment.

Throughout my career as a researcher and software developer, I have acquired extensive skills and experience lead- ing and collaborating within and between interdisciplinary teams. I specialize in building models, data pipelines, and computational tools based on state-of-the-art computer vision and machine learning frameworks.

EDUCATION

2014 - 2020 National University of Colombia - Medellin, Colombia Ph.D. in Computer Engineering

Advisor: John W. Branch

Dissertation: “Shape Analysis and Description Based on the Isometric Invariances of Topological Skeletonization.”

2010 - 2012 National University of Colombia - Medellin, Colombia M.Sc. in Computer Engineering

Advisor: John W. Branch

Thesis: “Automatic landform classiflcation using texture analysis on satellite images.”

2005 - 2010 National University of Colombia - Medellin, Colombia

B.S.E. in Computer Engineering

WORK EXPERIENCE

2020 - Present Post-Doctoral Researcher

University of Pennsylvania

GRASP Lab - General Robotics, Automation, Sensing & Perception Lab

Lead independent research on machine learning and geometric computer vision.

Designed a novel graph neural network-based control for Aerial Unmanned vehicles navi- gating in turbulence wind flelds.

Developed physically-grounded novel deep learning-based methods for 3D reconstruction

from single-image or point clouds.

Developed novel geometry-based pose features for imitation deflciency in subjects with Autis- tic Spectrum Disorder (ASD), in collaboration with the Philadelphia’s Children Hospital.

Mentored and supervised research for multiple Ph.D. and Master students.

Coordinated and secured guest speakers for weekly team meetings, to discuss the latest state- of-the-art advances in computer vision.

Worked under the supervision of Prof. Kostas Daniilidis.

2018 - 2020 Visiting Researcher

University of Pennsylvania

GRASP Lab - General Robotics, Automation, Sensing & Perception Lab

Conducted research on deep learning and geometric computer vision.

Developed computer vision tools for symmetry detection in 3D objects.

Worked under the supervision of Prof. Kostas Daniilidis.

2016 - 2018 Software Developer

Gotta Ingenieria

https://gottaingenieria.com

Designed and developed several python-based hydro-morphology simulation plug-ins for the ArcGIS platform.

2016 - 2016 Software Developer

Launchpad

https://www.launchpadapps.com.au

Designed and developed client/server apps for the iOS platform in Objective C and Swift pro- gramming languages.

2014 - 2015 Research Assistant

University of Wisconsin-Madison

Laboratory for Molecular and Computational Genomics

Conducted research to develop new computer vision approaches for detecting, sequencing, and aligning single DNA molecules under confinement. I worked under the supervision of Prof. David C. Schwartz.

2012 - 2014 Software Engineer

Early Warning System of the City of Medellín

https://siata.gov.co

Developed software to support geo-spatial data visualization for weather forecasting. Implemented computer vision tools to process images generated from Doppler microwave weather radars.

2012 - 2012 Research Assistant

Pontifical Catholic University of Chile

Department of Computer Science

Created feature extraction, selection, and classiflcation methods for computer vision-based automatic quality inspection. I worked under the supervision of Prof. Domingo Mery.

2008 - 2011 Research Assistant

National University of Colombia

Department of Geo-science and Water Resources

Developed computer vision tools applied to geo-spatial information and automatic classiflca- tion of landforms.

SKILLS

Python/Numpy/SciPy

9+ yrs

Matlab

5+ yrs

Pytorch/Tensorflow/Jax/OpenCV

4+ yrs

Java

3+ yrs

Git/CSV/SVN

8+ yrs

C++/CUDA

3+ yrs

Linux/Unix

Slurm/Docker/Kubernets

16+ yrs

5+ yrs

Scientific writing/LATEX

12+ yrs

LANGUAGES

Spanish Native English Fluent Portuguese Good

HONORS AND AWARDS

MinCiencias Doctoral Scholarship, Colombia, 2015.

Enlazamundos Scholarship, Medellín - Colombia, 2012.

Full Tuition Fellowship Award (Masters program), Faculty of Mines, National University of Colombia, 2012.

REVIEWER

Journals

IEEE Transactions on Medical Imaging.

Elsevier’s Pattern Recognition Journal.

Canadian Journal of Forest Research.

Revista DYNA. Engineering journal edited by the National University of Colombia. Conferences

ICPR’22 Reviewer. 26th International Conference on Pattern Recognition.

MICCAI’22. 25th International Conference on Medical Image Computing and Computer Assisted Intervention.

MICCAI’21. 24th International Conference on Medical Image Computing and Computer Assisted Intervention.

PUBLICATIONS

2022 Patiño, D., Mayya, S., Calderon, J., Daniilidis, K., and Saldaña, D., “Learning to Compensate Wind Turbu- lence with a Team of Robots: A Reinforcement Learning Approach”, Robotics and Automation Letters, Under Review.

2022 Patiño, D., Schmeckpeper, K., Gupta, H., Georgakis, G., and Daniilidis, K., “Self-supervised implicit shape reconstruction and pose estimation for video prediction”, ICRA Workshop on Motion Planning with Implicit Neural Representations of Geometry - 2022 .

2022 Patiño, D., Esteves, C., and Daniilidis, K., “Level Set Mesher: Single-image to 3D reconstruction by following the level sets of the signed distance function”, ICPR 2022 .

2021 Patiño, D., and Branch, J.W., “Cosine-Pruned Medial Axis: A New Method for Isometric Equivariant and Noise-Free Medial Axis Extraction”, IEEE Access, https://doi.org/10.1109/ACCESS.2021.3072933.

2020 Patiño, D., Ceballos-Arroyo, A. M., Rodriguez-Rodriguez, J. A., Sanchez-Torres, G., and Branch- Bedoya, J. W., “Melanoma detection on dermoscopic images using superpixels segmentation and shape-based features”, 15th International Symposium on Medical Information Processing and Analysis, https://doi.org/10.1117/12.2545300.

2018 Patiño, D., Avendaño, J., and Branch, J.W., “Automatic skin lesion segmentation on dermoscopic images by the means of superpixel merging”, International Conference on Medical Image Computing and Computer- Assisted Intervention (MICCAI), https://doi.org/10.1007/978-3-030-00937-3_83.

2018 Goez-Mora, J. E., Londoño-Lopera, J. C., and Patiño, D., “Automatic Visual Classification of Parking Lot Spaces: A Comparison Between BoF and CNN Approaches”, Workshop on Engineering Applications, https://link.springer.com/chapter/10.1007/978-3-030-00350-0_14.

2017 de León, J.C.B., Patiño, D., Restrepo, A., and Branch, J.W., “Computational Detection of Salient Information to Identify High Stress and Ambiguity Regions in Digital Photoelasticity Images”, Image Processing and Applications (IM4E), https://doi.org/10.1364/ISA.2017.IM4E.2.

2015 Zhou, S., Goldstein, S., Place, M., Bechner, M., Patiño, D., Potamousis, K., Ravindran, P., Pape, L., Rincon, G., Hernandez-Ortiz, J., Medrano, J. F. and Schwartz, D. C., “A clone-free, single molecule map of the domestic cow (Bos taurus) genome”, BMC Genomics, https://doi.org/10.1186/s12864-015-1823-7.

2012 Patiño, D., Mery, D., Fernandez, B.V., Branch, J.W., “Automatic Landform Classification of Up- lands Based on Haralick’s Texture”, CLEI XXXVIII - Latin-American Informatics Conference, IEEE, DOI:10.1109/CLEI.2012.6427164.

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