May 2021 – Aug 2021 · 3 mos · Virtual

• As for now, you should think smart notification system for VR systems that dynamically adjust based on user context! This is with the hope of one day applying said work to everyday AR applications in the future.
• Research questions: How do we best offer a notification to a user in a VR/AR setting? How do notification (dynamic vs static) placement strategies affect the competing factors of notification understandability and primary task impedance in VR?
• Research project roles: Idea generator, lead developer, user study designer, and design guinea pig.

Sep 2019 – Present · 6 yrs 6 mos · Blacksburg, VA

• Actively investigating the potential of gaze operated interfaces and their applications for context-aware augmented reality (and sometimes smart VR interfaces)
• Publication(s) | (More to come)
• C. Ilo, W. Zheng and D. A. Bowman, "Virtual Loupes: An Augmented Reality Aid for Microsurgery," 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2021, pp. 617-618, doi: 10.1109/VRW52623.2021.00191.
• Bowman, Doug A., Joseph Gabbard, Daniel Auerbach, Nazila Roofigari-Esfahan, Kathryn Britt, Cory I. Ilo, and Keerthana Adapa. "BuildAR: A Proof-of-Concept Prototype of Intelligent Augmented Reality in Construction." In 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), pp. 508-512. IEEE, 2022.
• Lisle, Lee, Feiyu Lu, Shakiba Davari, Ibrahim Asadullah Tahmid, Alexander Giovannelli, Cory Ilo, Leonardo Pavanatto, Lei Zhang, Luke Schlueter, and Doug A. Bowman. "Clean the Ocean: An Immersive VR Experience Proposing New Modifications to Go-Go and WiM Techniques." In 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), pp. 920-921. IEEE, 2022.

Nov 2017 – Apr 2018 · 5 mos

• Rapidly developed a machine learning pipeline that could detect sensitive information and remove privacy identifiers in real-time, which had led to multiple initiatives worthy of patents and a technical white paper accepted into the 2019 Strata Data Conference where we presented our preliminary findings on real-time privacy detection and anonymization techniques.
• Potential impact: This work would allow Intel to make millions by selling training data as a product while not being privy to large fines caused by breaches of data privacy laws worldwide.

Sep 2016 – Aug 2019 · 2 yrs 11 mos

• Led validation efforts on our new 10nm SoC server products where I dramatically reduced
• the size of the test suite by a factor of 20 while maintaining the prescribed amount of debug
• coverage.
• Regularly engaging in the validation and debugging of various subsystems on multiple 10nm
• server products using SBFT, where I've single-handedly drove coverage to 100% on past projects.

Jan 2016 – May 2016 · 4 mos

• Developed a feature extraction and dimensionality reduction algorithm which was able to track a user's gaze via manifold learning,thus providing a robust solution to the data-hungry nature of deep learning architectures where I decreased the training set by roughly 10% without sacrificing perceptible accuracy

May 2015 – Dec 2015 · 7 mos · Santa Clara, California

• Evangelized the uses, capabilities, and feasibility of the Intel Edison DIY maker kit at the Intel
• Developer Forum (IDF 2015) to hundreds of attendees to increase our visibility in the maker space.
• Completed sabbatical coverage for a full-time member of the SCAN/ATPG team where I performed
• low coverage debug and generated patterns for testing our 14nm server products.

Jun 2014 – Aug 2014 · 2 mos · Sacramento, California Area

• Developed a training course that educated 30+ of my senior peers on how the entire pre-silicon
• validation pipeline functioned for our GPU IPs.

May 2013 – Aug 2013 · 3 mos · Hillsboro

• Assessed the possibilities of OpenGL ES on various Intel powered mobile handsets in addition to
• gathering metrics on device performance to gauge market competitiveness.
• Pioneered the creation of an android framework that made integrating OpenGL into NDK apps thus cutting overall development time by ~20%

May 2012 – Aug 2012 · 3 mos · Centreville, Viriginia

• Collaborated with senior engineers to rapidly developed POCs for various projects and tested the long-term feasibility of certain mission-critical concepts.
• Obtained a Top Secret Security clearance with the Department of Defense.

Apr 2012 – May 2014 · 2 yrs 1 mo

• Assist the lab instructor by supporting dozens of students in completing practical assignments for various undergraduate courses. ( Courses: Introduction to Digital Systems, Assembly Language Programming, Introduction to Computer Engineering )
• Facilitate students in succeeding and understanding engineering concepts as well as mentor
• underclassmen from things as small as how to excel academically to professionalism.

Jun 2011 – Aug 2011 · 2 mos · Rochester, New York Area

• Investigated the lack of intuitive control of virtual cameras in 3D space using a medium that
• allowed for both 2D and 3D interaction. As a result, we developed an iPad2 application that was the
• first of its kind, allowing for the navigation of 3D virtual space using a three-axis accelerometer.