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Graduate Research Assistant Positions Available
Electrical and Computer Engineering DepartmentThere are up to three graduate-level research positions available for students in the Electrical and Computer Engineering Department. Students will be working with Dr. Andrew Willis in the Electrical and Computer Engineering department in the general field of signal processing, pattern recognition, and computer vision.
- Applicants must have an interest in 3D graphics, image processing, statistics, pattern recognition and computer vision and plan on taking courses within these areas to develop their knowledge.
- Applicants must have good working knowledge and previous programming experience in C++, Java, or C (you will be tested).
- Applicants must have aptitude in mathematics (linear algebra) and experience in advanced signal processing.
What you will be researchingStudents will develop algorithms and software for automatic recognition of structures within huge datasets, which are either 3D medical images or 3D (x,y,z) scans of real-world archaeological buildings. The work will consist mostly of programming in Java and analyze developed algorithms accuracy, computational cost, and performance relative to current state-of-the-art.
3D Medical Image Processing
The project will involve working on 3D Computerized Tomography (CT) images of fractured leg bones (the tibia & ankle region). A major goal of the project is to develop algorithms that will detect the fractured bones within the image and solve for the best alignment of the bone fragments to reconstruct the damaged limb.
3D Computer Vision with Archaeological Applications
This project will involve working on 3D (x,y,z) images of archaeological ruins with the intent of reconstructing damaged, missing, or obscured portions of the image. Students may be asked to travel to Israel during summers to perform data collection at an ancient Crusader-era castle, Apollonia-Arsuf, in Herzilya, Israel.
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Dr. Andrew Willis receives the John H. Maxheim Faculty Fellowship
The William States Lee College of Engineering
Each year one tenure-track assistant faculty member within The William States Lee College of Engineering is selected to receive this award. Dr. Willis is honored for such recognition and support from both The John H. Maxheim Fellowship and the college which makes ongoing research within Charlotte Machine Vision Lab possible.
The John H. Maxheim Faculty Fellowship recognizes and promotes the career development of tenure-track junior faculty in The William States Lee College of Engineering. The quality of the academic programs provided by the college is dependent on the talent and abilities of its faculty. The John H. Maxheim Fellowship assists junior faculty with their development and growth as educators and scholars. The grant associated with this fellowship will be used to support and enhance the professional activities of the recipient.
Tenure-track Assistant Professors with demonstrated accomplishments and the potential for future impact on the college's programs are eligible for the John H. Maxheim Faculty Fellowship.
The Maxheim Fellow will be selected on a competitive basis from the eligible faculty. Contributions to the programs of the college and the promise for continued enhancement of these programs will be central to the award. Eligible faculty will be reviewed by the department Chairs in consultation with the Dean. Eligible faculty will be reviewed by the department Chairs in consultation with the Dean. Selection will target each department on a rotating basis. Priority will be given to nominees of the primary department and the Chairs will present the accomplishments of the eligible faculty for evaluation, discussion, and selection by the committee.
The Maxheim Fellow will be announced by the Dean the last week of February of each year, at which time the $5000 grant will be awarded. Subsequently, the recipient will be recognized with a plaque or certificate at The William States Lee College of Engineering Awards Luncheon in the spring.
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The vision laboratory website is now running new web services on a new web server. This means pages will load faster, online-programs will run faster, and servlets can be provided faster. In addition, new web services allows for easily embedding multimedia content such as images, videos, sound etc. Enjoy the new website capabilities!
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International Trip to Ancient Mayan and Crusader Sites Recognized by the College
A recent postcard distributed to college alumni and friends of the William States Lee College of Engineering features the work accomplished in the 2007 data collection trips to Mayan and Crusader sites.
The article provides a high-level summary of ongoing research in the laboratory exploring ways which current technologies, specifically 3D laser measurement devices, can contribute to solving difficult problems in anthropology and archaeology.
These trips concentrated on investigating uses of 3D LIDAR (LIght Distance And Ranging) for use in archaeological and anthropological field environments. A custom-built laser was developed at the laboratory which performed well given the difficult and demanding conditions associated with field archaeology.
See the PDF of the article by clicking on the image.
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Lab Student Yunfeng Sui Receives Blue Diamond Award
The Blue Diamond Awards were created in 1988 to recognize technology-based contributions made by Charlotte-area companies and individuals. The awards are sponsored by IT Charlotte, part of the Charlotte Chamber of Commerce.
On March 27th 2006, 19th annual Blue Diamond Awards was announced and our resident Ph.D. student, Yunfeng Sui, was the winner of the Joanna R. Baker Memorial Graduate Fellowship. This fellowship program was established by Dr. Baker to recognize and continue her extraordinary vision of interdisciplinary research and the application of information technology to problem solving in the public sector. Each year during the spring semester, the Graduate School, in conjunction with the Joanna R. Baker Foundation, awards this prize to a graduate student who has a commitment to a career that will apply information technology to problem solving in the public sector.
Yunfeng was awarded for his contribution in 2D and 3D image processing. One of his past research topics in 2D image processing was to improve a system that automatically classifies agricultural seeds from digital images of the seeds. His current research is on 3D surface processing for archaeology. Here he seeks to build 3D virtual objects from 3D laser-scan measurements of the real word objects. By processing these models, structures of interest may be extracted from the measured data that address problems such as (1) re-assembling large broken objects (bridges, walls, buildings) in a virtual environment from models of their fragments and (2) recognition of scene objects given measurements of the global scene.
Congratulations to Yunfeng for receiving this honor which includes a $2,000 scholarship!