PACA Space Debris (English M2) Removal Around the World by IBR Services LLC in English Revised



Visit or email us at info@gotoibr.com
Pacha space debris is now PACA Space Debris at www.pacaspacedebris.com.
According to the New York Times, Various Web sites have tried to track the progress of the descending satellite, and Space.com has assembled a list of the “worst space debris events of all time.” We agree with the space debris article in the New York times. Read all about it at
PACA Space Debris was founded in an era when the problem of space debris gained publicity due to its accelerated growth, a trend which was predicted 40 years ago by NASA scientists. PACA Space Debris aims to mitigate this increasing threat by the active removal of space debris using a network of ground-based lasers. Coupled with the newly emerging market for private and commercial space enterprise, this new model will ignite humanity’s efforts to protect the Near-Earth space environment and enable human kind’s future utilization and exploration of space.

Our company is based on the philosophy that simplicity, low-cost, and reliability can go hand in hand. By eliminating the traditional layers of management, internally, and sub-contractors, externally, we reduce our costs while speeding decision making and delivery. Likewise, by keeping the vast majority of manufacturing in house, we reduce our costs, keep tighter control of quality, and ensure a tight feedback loop between the design and manufacturing teams. And by focusing on simple, proven designs with a primary focus on reliability, we reduce the costs associated with complex systems operating at the margin.

Established in 2010 by the founder of IBR Services, LLC., PACA Space Debris is happy to announce the integration of its core team by the engagement of Philip Arun Venturelli, a senior Aerospace engineer with expertise in electro-optics and lasers. Through IBR’s PACA Space Debris Removal program, Philip Arun Venturelli is able to accomplish the lifelong dream for which he has previously served as a mentor and educator.

Principal Engineer Philip Arun Venturelli’s Bio:

Philip Arun Venturelli is a cutting-edge systems engineer who has developed innovative applications in space and airborne electro-optic sensor / sensor-target disciplines by spearheading productive collaborations with various NASA centers. Examples of prior NASA collaborations include initiating a collaboration with NASA to build a simulation of space debris-laser dynamics, and presentation of favorable findings at the IEEE/AIAA Aerospace Conference. Additionally, Philip has authored multiple NASA proposals based on patents obtained for proposed technology. He submitted a proposal to NASA Code M at the Johnson Space Center and was awarded a coveted flight opportunity to run experiments on the KC-135 aircraft. Philip also collaborated with Goddard Space Center where he was involved in the development of NASA’s GMAT Mission Analysis Software.

Philip has worked for Raytheon Space and Airborne Systems, pioneering a variety of innovations including computer code for a major initiative for the U.S. Army and at Northrop Grumman where Philip, in a unique collaboration with the California Institute of Technology (Caltech), developed and a one-of-a-kind robotic vehicle. Philip also worked at the Naval Research Laboratories, and the US Naval Observatory on research related to astrodynamics and optics. He has won multiple grants from Caltech and the NSF for research, technology, and entrepreneurial development. He has attained patents, developed a series of peer-reviewed papers and he has conducted presentations around the world in areas involving laser physics, gravitational physics, robotics, remote sensing, and control and dynamics.

More recently, Philip developed an engineering model for laser removal of small space debris which was peer-reviewed, published, and presented at the IEEE Aerospace Conference in 2011. This project is currently pending further collaboration with a prominent NASA center. Philip holds a B.A. in Physics from Caltech, a Masters in Computer Vision from UCLA.