Joseph L. Mundy
Dr. Mundy joined General Electric’s Research and Development Center (CRD) in 1963. His early projects at CRD include: High power microwave tube design, superconductive computer memory devices, the design of high density integrated circuit associative memory arrays, and the application of transform coding to image data compression. He is the co-inventor of varactor bootstrapping, a key technique still widely used today in the design of CMOS integrated circuits. From 1972 until 2002, Dr. Mundy led a group involved in the research and development of image understanding and computer vision systems. In the early 1970’s his group developed one of the first major applications of computer vision to industrial inspection. A system was developed to inspect incandescent lamp filaments at the rate of 15 parts/sec. and achieved classification performance of less than one error per thousand. The system operated in production for many years. His more recent research themes at CRD included: industrial photogrammetry for machine control, theory of geometric invariance, change detection in satellite imagery and CT classification of lung cancer lesions. In 1988, Dr. Mundy was named a Coolidge Fellow, GE’s highest technical honor. He applied the fellowship to a sabbatical at Oxford University, working with Sir Michael Brady and Prof. Andrew Zisserman on applications of invariant theory to computer vision. This work lead to the Marr Prize award in 1993. In 2002 Dr. Mundy joined the School of Engineering at Brown as Prof. of Engineering (research). His research at Brown, under sponsorship of DARPA and NGA, includes video and image analysis, with emphasis on change detection and 3-d volumetric modeling. In 2011, Dr. Mundy co-founded Vision Systems Inc. and is President and CEO. At VSI, Dr. Mundy has managed the DARPA Tailwind and Visual Media Reasoning projects that are aimed at aerial video processing and scene analysis. Dr. Mundy also provides general project management of current VSI efforts in 3-d modeling from satellite imagery, geo-location of ground-level imagery and facial recognition. Dr. Mundy received his B.E.E.(1963) and M.Eng.(1966) and Ph.D.(1969) from Rensselaer Polytechnic Institute. He has published over 100 papers and articles in computer vision and solid state electronics.
Dr. Ozcanli-Whiting received her BS (2002) and MS (2004) degrees from Middle East Technical University in Ankara, Turkey followed by an MS (2007) in applied mathematics and a PhD (2010) in computer vision from Brown University. Ozge is a co-founder of VSI with areas of expertise including 3-d scene modeling from aerial imagery, satellite image geo-registration, visual feature extraction, stereo matching, region classification in multi-spectral satellite imagery, change detection, and probabilistic reasoning. She has published several research papers and received the 2009 Automatic Target Recognition Best Paper Award at SPIE Defense, Security and Sensing Conference. She served as the principal investigator of an NGA SBIR program to reconstruct geo-registered 3-d point clouds with associated error models using imagery and inertial measurements from aerial platforms. She also served as the principal investigator of the IARPA FINDER program, geo-locating ground-level imagery using various GIS reference data and satellite imagery.
Dr. Crispell received his BS from Northeastern University in 2003 and Ph.D. from Brown University in 2010 where he focused on probabilistic 3-d reconstruction algorithms using volumetric geometry representations. Dan is a co-founder of Vision Systems and has published several research papers in the fields of 3-d reconstruction, image and video registration, and change detection. He has developed and applied 3-d reconstruction and automatic change detection processing techniques to overhead imagery and developed automatic fusion and exploitation algorithms for LIDAR, image, and video data. He has implemented a belief propagation framework for inferring 3-d scene representations of single images based on fusion of outputs from a large set of independent off-the-shelf computer vision algorithms as part of the DARPA Visual Media Reasoning (VMR) program. Current areas of investigation also include the use of 3-d models to aid in the human face recognition task.
Dr. Dong finished his PhD degree in 2012 at School of Engineering, Brown University, along with MSc in applied mathematics and engineering (2009, 2010). After focusing on high parallel performance computing in material science during doctoral study, he joined Vision Systems Inc. in August, 2012 as a research engineer. As part of the IARPA FINDER program, he has implemented various algorithms for geo-localization of ground-level imagery based on 3-d volumetric and 3-d landmark configuration representation. He is familiar with 3-d scene modeling from LIDAR images, digital elevation model (DEM) generation, satellite image processing and geo-registration, region texture classification, multispectral image classification. Along with research papers published in the field of material science, he has published papers in the field of satellite image geo-registrations and image geo-localization at VSI. His most recent work includes the use of cloud computing techniques on 3-d large-scale modeling.
Scott Richardson finished his Masters degree in 2007 from the University of Colorado (CU) in Computer Science with an emphasis in Machine Learning. While at CU, he competed in the DARPA Learning Applied to Ground Robotics (LAGR) challenge in which he implemented path-planning algorithms for navigation through unstructured environments. Scott worked for Lockheed Martin as a Research Scientist before joining VSI. Scott has experience developing 3-d scene modeling applications using Full Motion Video and satellite imagery and is a member of the VXL developer team. As part of the DARPA Visual Media Reasoning (VMR) program he has designed a Factor Graph Toolkit based on the GraphLab graph-parallel processing framework to perform distributed belief propagation. He has also performed scene and object level classification to triage imagery and separately, to detect different landform types. He is currently investigating change detection from satellite imagery.
Andy Neff received his BS (2004) and MS (2007) in Electrical Engineering from Clemson University with an emphasis on Intelligence Systems. He worked for Lockheed Martin for almost 7 years as a Research Scientist, working as an image processing algorithm developer and software integrator. Andy became the newest member to join the VSI team in 2014. His recent work includes VoxelGlobe, a web site interface for VSI algorithms powered by Django.
Dr. Biris finished his PhD in 2015 from the School of Engineering from Brown University, along with his ScB in Computer Engineering in 2009. His dissertation focused on the compression of 2-d and 3-d dynamic scenes based on motion estimation. He successfully adapted classical optical flow algorithms to work on 3-d time-varying probabilistic volumetric models by leveraging 3-d surface and appearance information. During his first years of his PhD, Octavian has developed an algorithm for surveillance video compression based on background modeling and the JPEG 2000 standard. His research interests also pursued new motion estimation methods based on recasting Schroedinger's equation in the context of computer vision. He was also the teaching assistant of the graduate level course on scientific programming in C++ for four years in a row, where he contributed to multiple lectures on modern C++11 features and development, Python C bindings and GPU computing. Octavian is currently working on combining 3-d human face modeling techniques with machine learning and data-driven methods in order to solve face detection and recognition problems.
Hasnain received his MS degree in Computer Science from Brown University in 2015. His studies at Brown were focused on computer vision and systems. Hasnain has worked on using deep learning for object detection in satellite images and his most recent work includes deep learning for facial recognition using 3D face models.
Elaina Lucas received her BS and MA in Management from Salve Regina University. Elaina provides leadership support of the daily operations for the Vision Systems team. Her organizational abilities contribute to the success of an array of tasks which encompass facilities management and supplies, employment record keeping, project contracts, corporate documents, expense reports, and general human resource issues. Elaina worked for Rhode Island School of Design as the Assistant Registrar for 7 years and Academic Facilities Manager for 12 years before she joined the VSI team in 2015.
Director of Finance and Administration
Bonnie Hatch received her BS in Business/Computer Science from Barrington College in 1983 and MS in Accounting from the University of Rhode Island in 1994. Bonnie has spent the intervening years from her undergraduate work progressing through all aspects of the accounting office. Bonnie has also spent the last 20 plus years teaching numerous course in several surrounding 4year institutions. These courses have covered the gamut from accounting to computer basics to Systems Design, and Development. Her work at Vision Systems, Inc. began in 2013 as a consultant working with the accounting and bookkeeping functions as the company started a tremendous growth process. Bonnie assumed the role of Director of Finance and Administration effective March 2016. She is responsible for the administration and financial functions of the company including, but not limited to, contracts with the government, higher tier contractors, and subcontractors. Bonnie also acts as the liason between Vision Systems, Inc. and auxillary groups such as lawyers and accountants.
Dr. Gilliam earned his Ph.D. in Electrical Engineering from the University of Virginia in 2008, developing innovative computer vision algorithms for state-of-the-art biomedical imaging modalities. He has since worked on a wide range of challenging computer vision problems across the spectrum of university, commercial, defense, and intelligence customers. Dr. Gilliam an expert in geospatial image & video analysis and understanding, specializing in the unique needs of the defense and intelligence communities
Max graduated from Boston University in 2016 with a bachelor's degree in Computer Science. His two main areas of focus were distributed systems and Artificial Intelligence. Developing for mobile platforms, Max was part of a small team winning Best App Design in the 2016 Global App Initiative. His previous research experience explored the use of 3-d in robust object tracking and occlusion situations. Max joined VSI full time in June 2016, and is now working on an online, real-time, and highly scalable Structure from Motion (SfM) solution.