Dr. Ilke Demir

Based in Hermosa Beach, CA, United States

Bio:

In the overlap of computer vision and machine learning, Dr. Ilke Demir's research focuses on generative models for digitizing the real world, deep fake detection and generation techniques, analysis and synthesis approaches in geospatial machine learning, and computational geometry for synthesis and fabrication. Currently, she is a Senior Staff Research Scientist at Intel Corporation.

Dr. Demir earned her Ph.D. and M.S. in Computer Science from Purdue University advised by Prof. Daniel Aliaga, and her B.S. in Computer Engineering from Middle East Technical University with a minor in Electrical Engineering. Her Ph.D. dissertation conceives geometric and topological shape processing approaches for reconstruction, modeling, and synthesis; which pioneered the area of proceduralization. Afterwards, Dr. Demir joined Facebook as a Postdoctoral Research Scientist working with Prof. Ramesh Raskar from MIT, where their team developed the breakthrough innovation on generative street addresses. Her research further included deep learning approaches for human behavior understanding in next generation virtual reality headsets, geospatial machine learning for map creation, and 3D reconstruction at scale.

At the intersection of art and science, Dr. Demir contributed to several animated feature and VR/AR short films in Pixar Animation Studios and Intel Studios, respectively. She established the research foundations of the worldÕs largest volumetric capture studio at Intel, bridging the gap between the creative process and AI approaches. Prior to joining Intel, she had a brief startup experience (with a successful acquisition), and she was also a visiting scholar at UCLA.

In addition to her publications in top-tier venues, she has organized workshops, competitions, and courses in deep learning, computer vision, and graphics such as DeepGlobe, SkelNetOn, WiCV, SUMO, DLGC, EarthVision, and OpenEDS, to name a few. Dr. Demir received numerous awards and honors such as Jack Dangermond Award, Bilsland Dissertation Fellowship, and IEEE Industry Distinguished Lecturer, in addition to her best paper/poster/reviewer awards. Her scientific articles received significant attention from researchers and media outlets around the world, such as The Independent, VentureBeat, MIT Tech Review, and Liberation. She has been invited to present over 50 talks and panels worldwide, on the wide range of topics that her work spans.

Dr. Demir has been actively involved in women in science organisms, always being an advocate for women and underrepresented minorities.

ACM involvement:
- ACM SIGGRAPH member since 2011
- Reviewer for ACM SIGGRAPH, TOG
- ACM SIGGRAPH course contributor and BoF organizer in 2016, 2017, 2018

More information: http://ilkedemir.github.io

Available Lectures

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Embattling for a Deep Fake Dystopia
Recent advances in the democratization of AI have been enabling the widespread use of generative models, causing the exponential rise of fake content. Nudification of over 680.000 women by...
The Future of Filmmaking: AI for Volumetric Capture and Reconstruction
One picture is worth a thousand words, so what have been told with videos? What about 100 simultaneous videos to reconstruct every frame of life in a 10.000 sq. ft dome? Is it enough to...
The Science of Generative Architecture: Proceduralization
Manual creation of massive and detailed 3D models may take weeks, or months, even for experienced artists. In contrast, generative algorithms enable efficiently creating content coherent with the...

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