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GINIA aims to develop the next generation of disruptive technology for our nation’s safety and security.
GINIA aims to develop the next generation of disruptive technology for our nation’s safety and security.
Why GINIA?
GINIA
We offer a variety of innovative solutions capabilities support results contributions to our clients.
GINIA offers a novel method of delivering state-of-the-art technical solutions to address government’s most complex problems.
Learn MoreGINIA explores new concepts and ideas to create cutting-edge technology by working with our partners/industry experts.
(Please view our "Capabilities" section for more information)
Learn MoreGINIA provides a unique opportunity for partners/SME’s to contribute their knowledge and expertise to solve complex government challenges.
Learn MoreGINIA as a Platform
As a platform, GINIA brings together research partners, government clients, and investors.
We identify government’s complex problems, determine the criteria/requirements, and collaborate with our partners to deliver innovative solutions.
GINIA for Government
GINIA for Government
GINIA offers a novel method of solving government’s most complex problems with the state-of-the-art technical solutions by utilizing universities/industry experts.
GINIA for Partners
GINIA for Partners
GINIA provides the platform to connect our partners with government projects. 
GINIA for Investors
GINIA for Investors
GINIA offers our investors early access to government-backed technologies.  Â
Innovative Approach
Our innovative business model integrates six different facets. We pull upon our large network of partners to find world class experts, connect them with cleared subject matter experts and utilize best practices from sectors such as Silicon Valley and open source communities for optimal value in government R&D.
Cleared SMEs
GINIA as a Platform
World Class Experts
Improved Value
Best Business Practices
Large Network of Partners
Our Capabilities
Who We Are
Meet GINIA’s leadership and partners who are driving innovation and technology forward.
Hakjae Kim, Ph.D
Chief Scientist of GINIA
Richard Linares, Ph.D
Massachusetts Institute of Technology (MIT) – Charles Stark Draper Assistant Professor, Department of Aeronautics and Astronautics
Warren Dixon, Ph.D.
University of Florida – Newton C. Ebaugh Professor
Rongjun Qin, Ph.D
Ohio State University – Assistant Professor, Department of Electrical and Computer Engineering
Dr. Hakjae Kim
Dr. Hakjae Kim
Chief Scientist of GINIA, Inc
Dr. Hakjae Kim is the Chief Scientist at GINIA, Inc. As Chief Scientist, Dr. Kim leads the overall technology strategy and direction of GINIA. He works closely with the research and development branches of Intel, DoD, and DHS to develop the next generation of technology disruption.
Previously, he worked at Uber’s Advanced Technology Group (ATG) where he led Operational Domain Characterization for Self-Driving Vehicles, which plays a critical role in the deployment and operation of the future of self-driving technology. He oversaw a team that was responsible for building scalable tools and infrastructure that allow the ATG to perform rich geospatial analysis and reporting to plan, predict, and refine the current and future operational area for the fleet of self-driving cars.
Over the course of his career, Dr. Kim has also worked in various capacities with the federal government. At IARPA (known as the DARPA of the intelligence agencies), he served as a senior program manager leading multiple high-payoff research programs and was the principal expert and senior advisor to the Director of IARPA on geospatial intelligence and machine learning applied to satellite data. In 2017, his team received the Intelligence Community’s Science Technology Team of the Year Award. He also worked as a lead researcher and team manager at the National Geospatial-Intelligence Agency (NGA), where he was responsible for researching and developing mapping products to serve the Defense and Intelligence Communities. There, he was a recipient of the National System for Geospatial Intelligence (NSG) IGS Team of the Year and Ambassador awards in recognition of his dedication and contributions to the Imagery and Geospatial Science tradecraft.
In 2019, he received the Presidential Early Career Award for Scientists and Engineers (PECASE), which is the highest honor bestowed by the United States Government to exceptional scientists and engineers beginning their independent careers. His other distinctions include serving as an Intelligence Community postdoctoral fellow sponsored by the Office of the Director of National Intelligence (ODNI) at the University of Florida and receiving the Gator Innovator Award for his invention. Dr. Kim holds patents in systems and geo-location estimation.
He received his Ph.D., M.S., and B.S. in Mechanical and Aerospace Engineering from the State University of New York at Buffalo. In his spare time, you will find him hiking with his family, mountain biking, skiing, and golfing.
Richard Linares, Ph.D
Richard Linares, Ph.D
Massachusetts Institute of Technology (MIT) – Charles Stark Draper Assistant Professor, Department of Aeronautics and Astronautics
Research Areas
- Astrodynamics,
- Space Situational Awareness and Space Traffic Management,
- Satellite Guidance and Navigation,
- Estimation and Controls,
- Reinforcement Learning,
- Optimal Control.
Awards & Recognition
- AFOSR Young Investigator Research Program Award, 2018
- Director’s Postdoctoral Fellowship, Los Alamos National Laboratory, 2013
- Vela Fellowship, Los Alamos National Laboratory, 2012
- Space Scholar, United States Air Force Research Laboratory, 2010 and 2011
- Nasa Space Grant Research Fellowship, 2010
Richard Linares, Ph.D
Warren Dixon, Ph.D.
University of Florida – Newton C. Ebaugh Professor
Research Areas
- Aerospace and Maritime Systems,
- Assured Autonomy,
- Bionics,
- Image Feedback,
- Network Systems,
- Robotics.
Awards & Recognition
- IEEE Control Systems Technology Award, 2019
- University of Florida College of Engineering Doctoral Dissertation Mentoring Award, 2017-2018 & 2012-2013
- American Automatic Control Council (AACC) O. Hugo Schuck Award, 2015 & 2009
- Fred Ellersick Award for Best Overall MILCOM Paper, 2013
- ASME Dynamics Systems and Control Division Outstanding Young Investigator Award, 2011
- IEEE Robotics and Automation Society (RAS) Early Academic Career Award, 2006
- NSF CAREER Award (2006-2011)
Rongjun Qin, Ph.D
Rongjun Qin, Ph.D
Ohio State University – Assistant Professor, Department of Electrical and Computer Engineering
Research Areas
- Smart Cities and Urban Sustainability,
- 3D/4D Modeling,
- Computer Vision and Image Processing,
- Data Acquisition,
- Remote Sensing.
Bid Data for Good: Eye in the Sky
Awards and Recognition
- Winner of IEEE Data Fusion Contest, 2019 and 2020
- Lumley Research Award, 2020
- International Conference on Geoinformatics Best Student Paper Award
- Planet Kaggle Deep Learning Challenge Bronze Medal (Supervising Master Students)
- Winner of IARPA 3D Mapping Challenge