William Hoff Email and Phone Number
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William Hoff personal email
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Experienced R&D engineer with strong expertise in computer vision and augmented reality. Extensive experience in new algorithm development, with solid prototyping skills. Successfully conducted projects in both academia and industry. Excellent communication skills and experience in working in multi-disciplinary teams. PROFESSIONAL EXPERTISEComputer Vision• Developed a novel visual Simultaneous Localization and Mapping (SLAM) approach while employed at Lockheed-Martin. This reduced autonomous vehicle localization errors by 80%.• Developed a 3D reconstruction approach for deer and elk antlers (patent applied for).• Developed a novel object recognition approach while employed at DAQRI Corp. (patent issued).• Published more than 75 technical papers.Augmented Reality• Developed Augmented Reality (AR) systems to assist maintenance and inspection tasks.• Experienced with software tools including OpenCV, Unity, PyTorch, Android Studio, and XCode.• Taught courses on mobile app development (both iOS and Android) and Augmented Reality.• Developed tools to display digital twin models of scenes on Magic Leap smart glasses. Commercial Software Development• Extensive experience in algorithm development for industrial applications.• Developed and integrated algorithms into DAQRI smart glasses, using C++, Python, and TensorFlow.• Taught classes in software engineering, focusing on Agile methodology, test driven development and continuous integration.Communication Skills• Taught and mentored graduate and undergraduate students at the Colorado School of Mines.• Received over 30 research and development contracts from industry and government sources.For full details, please see https://www.williamhoff.tech/.
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Spatial-Computing Research ScientistDiamond Age Technology Sep 2022 - PresentHouston, Texas, UsResearch and development on constructing digital twins from sensor data, for use in immersive virtual environments for training applications.
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Lead Software Engineer, PerceptionMagic Leap Mar 2021 - Aug 2022Plantation, Florida, UsResearch and development on world reconstruction and modeling of large environments from colorized point cloud data. Developed Unity-based prototypes for Magic Leap 2 headset, for visualization of large scale digital twins. -
ConsultantSelf-Employed Jan 2021 - Mar 2021
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Associate ProfessorColorado School Of Mines Aug 2002 - Dec 2020Golden, Co, Us• Developed a funded research program in augmented reality and computer vision, with over 30 projects from a combination of industry and government sources. • Published 75 papers and graduated 6 PhD students and 13 MS thesis students. • Taught computer vision, augmented reality, mobile apps, and software engineering courses.• Served as assistant director of the department, consisting of 30 faculty and 1300 students. -
Technical ContractorAmazon Robotics May 2019 - Aug 2019North Reading, Ma, UsResearch in object recognition and pose estimation for warehouse robotics. Developed an approach for recognition of novel objects from color and depth images, that required much less training than existing approaches. -
Visiting ScholarUniversity Of South Australia Jan 2019 - May 2019Adelaide, South Australia, AuResearch on user interfaces for augmented reality, at the Empathic Computing Lab directed by Professor Mark Billinghurst. Developed a testbed to study the effectiveness of head-mounted vs. hand-held augmented reality systems for a hands-on task. Implemented the system on Android mobile devices and Microsoft HoloLens. -
Principal EngineerDaqri Jun 2017 - Nov 2018Los Angeles, Ca, UsDeveloped a novel object recognition approach and implemented it on the DAQRI Smart Glasses. This enabled "tagging" of industrial objects with virtual annotations, without the need for CAD models. Authored a patent titled “Determining a Pose of an Object from RGB-D images” (pending). -
Technical ContractorLockheed Martin Jan 2010 - Dec 2010Bethesda, Md, UsResearch on vision-based autonomous vehicle navigation, while working onsite with Lockheed Martin engineers. Developed a new sensor-based visual SLAM approach to support lateral stability for extended convoy operations. This reduced autonomous vehicle localization errors by 80%. -
Visiting ScientistRocky Mountain Musculoskeletal Research Laboratory Aug 2002 - Aug 2003While on sabbatical, performed research in medical imaging for orthopedics, including fluoroscopy, ultrasound, and computed tomography.
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Staff EngineerLockheed Martin Jan 1987 - Aug 1994Bethesda, Md, Us• Lead of target recognition development team for DARPA’s unmanned ground vehicle program, and successfully conducted two annual demonstrations. • Developed the navigation and inspection systems of a robotic vehicle system for the Department of Energy that demonstrated autonomous monitoring and inspection of hazardous waste storage facilities. • Principal investigator and lead for IR&D projects that developed vision technology for robot manipulators and free-flying vehicles.
William Hoff Skills
William Hoff Education Details
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University Of Illinois Urbana-ChampaignComputer Science -
Illinois Institute Of TechnologyPhysics
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University Of Illinois Urbana-ChampaignPhysics
Frequently Asked Questions about William Hoff
What company does William Hoff work for?
William Hoff works for Diamond Age Technology
What is William Hoff's role at the current company?
William Hoff's current role is Staff Research Scientist at Diamond Age Technology.
What is William Hoff's email address?
William Hoff's email address is wh****@****nes.edu
What is William Hoff's direct phone number?
William Hoff's direct phone number is +130327*****
What schools did William Hoff attend?
William Hoff attended University Of Illinois Urbana-Champaign, Illinois Institute Of Technology, University Of Illinois Urbana-Champaign.
What are some of William Hoff's interests?
William Hoff has interest in Social Services, Politics, Education, Environment, Science And Technology.
What skills is William Hoff known for?
William Hoff has skills like Image Processing, Computer Vision, Matlab, Machine Learning, Algorithms, Signal Processing, Artificial Intelligence, Mathematical Modeling, Pattern Recognition, Simulations, C++, Robotics.
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