About

Born with AI.
Built for the physical world.

DeepLux leverages thoughtful AI and deep sensor-design expertise to unlock the full potential of a camera's imaging — for consumer electronics, autonomous driving, medical imaging, national security, and more.

Our story

From Purdue to DeepLux

DeepLux grew out of years of computational-imaging research at Purdue University. Today's cameras are smart — and that intelligence comes from careful sensor–algorithm co-design, tuned to each imaging scenario.

In an AI age of endless papers at top conferences like CVPR, we set out to build something real and impactful. We put AI algorithms onto image signal processors — the small, compact chips inside the devices people use every day. No exotic sensors, no expensive GPUs: our AI runs on ordinary chips.

Purdue University campus — Bell Tower and Memorial Mall
Purdue University · Photo: Diego Delso, License CC BY-SA
Team

The people behind DeepLux.

Dr. Stanley Chan

Dr. Stanley Chan

Professor at Purdue with 20+ years in computational imaging, signal processing and machine learning.

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Preston Rahim

Preston Rahim

MS in ECE from Purdue. Leads business development and operations.

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Enze Jiang

Enze Jiang

MS. FPGA development, camera calibration and data collection.

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Dr. Yiheng Chi

Dr. Yiheng Chi

PhD from Purdue and core algorithm architect. Publishes at CVPR, ICCV and ECCV.

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Advisors

Guided by leaders in imaging & industry.

JF

Dr. Joyce Farrell

Executive Director, Stanford Center for Image Systems Engineering
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MP

Dr. Michael Polley

Senior VP, Samsung Research America · IEEE Fellow
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SG

Dr. Sergio Goma

Former Senior Director, Hardware, Qualcomm · IEEE Fellow
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What we value

How we work.

Innovation

We turn cutting-edge research into imaging that ships.

Intention

Physics-grounded and explainable — not black boxes or filters.

Practicality

Built to drop into real pipelines and real hardware, today.

Contact

Get in touch.

Email
Phone
(317) 717-6711
Location
101 N 4th Street, Suite 232, Lafayette, IN 47901