Mathematics, Natural Sciences and Technology

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Applied Mathematics Research Center

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  1200 North DuPont Hwy. Dover, DE 19901 ETV Building 116 Phone: 302-857-7516 Fax: 302-857-7517 Program Director: Dr. Fengshan Liu More information about AMRC   Delaware State University Applied Mathematics Research Center (AMRC) was initially funded by the Department of Defense (DoD) in 2003. AMRC is designed to create a research environment where multidisciplinary groups work together to solve applied mathematics problems in military and other areas. The research center consists of faculty of Mathematics, Computer Science, Electrical Engineering, and Biotechnology, research associates, visiting professors and an administrative assistant. The major goals are: to establish a permanent research base at Delaware State University which produces new knowledge and quality, publishable, peer-reviewed research relevant to DoD research goals to enhance participation and substantial involvement of minority graduate (M.S. and Ph.D.) and undergraduate students and faculty in Science and Mathematics research to provide additional training in mathematics and sciences to minority female high school students by involving them a summer program (GEMS), and therefore to prepare more minority students (especially women) in sciences and mathematics to foster long-term research collaboration among scientists with Army Research Laboratories, and other national government and academic institutions; and 5) to ensure long term sufficient research funding Main Research Areas Ground Penetrating Radar Imaging Buried object detection using GPR has attracted tremendous attention in the past decades because of its important military, such as mine detection, and commercial applications. Our current work aims to use vector multiresolution representation for the antenna array receiving data in multifrequency ground penetrating radar (GPR), and solves the inverse scattering problem, and then uses the hidden Markov model (HMM) in the wavelet transform domain for the target detection. We plan to expand our GPR imaging research in three aspects: 1. continuing to investigate our current research targets; 2. developing algorithms for 3-D GPR imaging; 3. processing real land mine GPR data with new algorithms. The NURBS methods of Computer geometric design in automatic representing 3D objects NURBS is the most popular and widely used method and tool in the field of computer geometric design in representing and manipulating 3D objects. The objectives of the project are to study the following problems in reconstruction of smooth surfaces, which are 1. producing polygonal model from scattered and unstructured 3D data, and/or even from 2D data; 2. mesh quadrilaterization of the polygonal model; and 3. the representation of the parametric surfaces on each quadrilateral patch, and the construction of NURBS surface model. Image Registration The research task is to develop software in C or MATLAB that will create a unified image from a sequence of smaller images. The dyadic combination of images is the basic operation; the recursive implementation of this combination will constitute the desired algorithm. A data set of the Blossom Point test range will be used as the data source. We will identify relevant features that allow images to be merged. It is expected that these features will also be applicable to similar images. This software will be developed with the expectation that it will be enhanced to include problems associated with scaling, and then 3D image reconstruction. Signal Processing in Data Mining The ultimate goal of the proposed research is to provide advances in technology towards successful development, testing, refinement and application of intelligent, self-adaptive software systems. The approaches integrate computer vision systems, soft computing and evolutionary computational paradigms, complex adaptive software structures and robust machine learning algorithms. In addition, we aim towards practical design, development, prototyping and evaluation of a knowledge-based software system that will integrate theoretical aspects of the proposed techniques into user-friendly application equipped by advanced user interface and enhanced data base management capabilities. Biotechnology The research focuses on nucleotide sequence and chromatin structure requirements for integration. We will also deal with the scientific, social, and ethical issues related to the field of Biotechnology, present the elements of biostatics and numerical methods needed for quantitative data analysis and interpretation, and provide practical experience with the use of software and databases in the investigation of problems critical to biotechnology and molecular biology to our undergraduate students. Other Research Areas Inverse Ill-Posed Problems, Numerical Analysis, Partial Differential Equations, Integral Equations, Wavelets and Image Analysis, Scientific Computation, and Mathematical Physics. Outreach Delaware State University (DSU) will conduct the pre-college program Girls Explorations in Mathematics and Science (GEMS). GEMS is a three-week summer residential program involving hands-on explorations in mathematics, biology, and information technology with research activities. This project will offer 20 motivated high-potential female high school students entering tenth and eleventh grades an opportunity to integrate and apply concepts from these disciplines to problem solving. GEMS program is designed to stimulate and extend students’ interest in these fields and encourage them to investigate careers in mathematics, biology, and information technology. This addresses the problem of under-representation of women, in particular minorities, in these fields. Three college professors and three high school teachers, who are assisted by six undergraduate/ graduate female students, conduct the project. The curriculum has been carefully designed to expose students to research methodology, to enable them to see the connections between mathematics, biology, and information technology. The participants work in small groups and use computers extensively to explore and discover mathematical and biological concepts. Request for more information.  

M.S. Degree in Applied Optics

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  The Master of Science in Applied Optics will focus on the emerging areas of laser spectroscopy, biophotonics and nanophotonics which play a critical role in advancing technologies such as telecommunications, homeland security, computing, medical diagnosis, environmental sciences and disease management and treatment. In addition to placing particular emphasis on the emerging areas of nano- and bio-photonics, and student in this M.S. program will take part in many challenging and exploratory projects based on optical nanotechnology and its applications to aid the health related sciences. Students in the M.S on Optics Program will be required to complete a research thesis an oral defense of it. The M.S. in Applied Optics has a typical duration of two to three years for full-time students. The foundations for the M.S. Program in Applied Optics – which was established in 2008 – were laid by the DSU Center for Research and Education in Optical Sciences and Applications (CREOSA). Given the interdisciplinary opportunities that optics presents, students in the M.S. Program in Applied Optics will have the same opportunities. Interested students, researchers and engineers can obtain more information by contacting the DSU Department of Physics at (302) 857-6659.   CREOSA Research Projects Laser-Induced Breakdown Spectroscopy – Dr. Noureddine Melikechi, Dr. Aristides Marcano, Dr. Vesna Zelikovic Photothermal Lens Spectroscopy – Dr. Aristides Marcano, Dr. Noureddine Melikechi Optical Solitons – Dr. Anjan Biswas, Dr. Dawn Lott Single-Molecule Spectroscopy – Dr. Chandran Sabanayagam Electromagnetically Induced Transparency and Slow Light – Dr. Gour Pati Nanophotonics – Dr. Chandran Sabanayagam, Dr. Gour Pati Data Mining of Spectroscopy Data – Dr. Dragoljub Pokrajac

Department of Computer and Information Sciences

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Mishoe Science Center North
Room 330
Ph: 302.857.6640
Fax: 302.857.6552

 

Dept of CIS courseware gains certification from National Security Agency

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 Click here to learn more about our Graduate Program in Computer Science. About Us... The Department of Computer and Information Sciences is a small but growing academic unit. The CIS Department prides itself in its diverse student body, faculty, and staff. The Department currently has about eighty CS and IT undergraduate majors, eight full-time faculty members, and one lecturer, a Senior Secretary, and a laboratory coordinator/system administrator. There are three smart instructional classrooms, a smart equipped student computer laboratory, and a smart equipped collaborative learning space. The Department houses six research laboratories and has invested in hiring young energetic faculty rooted in computer science but with strong research interest in various interdisciplinary areas as well as cyber security. Computing is a pervasive field and as such, research in computing often crosscuts across various different disciplines. It is this interdisciplinary nature of computing that makes it so attractive to students and researchers. Our faculty members maintain research collaborations across various disciplines within DSU and as well as other institutions such as University of Pennsylvania, Indiana University, Boston University, Emory University, and University of Nis in Nis, Serbia as well as collaborations with industry, such as Lockheed Martin. Faculty members work on research problems in agriculture where they use bioinformatics to help in mapping the common bean genome. They also work with neuroscientist to help model and understand various neurological conditions. We have faculty working on modeling breast tissue to help in the fight against breast cancer. There is also ongoing work in medical health informatics with a laboratory currently being constructed that will utilize robots, cameras, and various other sensory devices and apply machine learning techniques to study and design home healthcare systems. Faculty members in the CIS Department have developed techniques in analyzing spectroscopic data from Laser Induced Breakdown Spectroscopy (LIBS) experiments carried out in the Optics Center at DSU. Our graduate and undergraduate students are engaged in research and research training with the faculty members and their collaborators. Our students participate in writing journal and conference papers and present at national and international conferences. Students are also encouraged and expected to apply for various internships and summer research experiences. In addition to the course work, all these activities focus on building problem solving, critical and computational thinking, communication, and lifelong learning skills. These skills are essential to a successful career in life. Our faculty members are young, energetic, approachable, and excited about working on your academics and research as well as mentoring you through to graduation. Being a small Department, personalized attention and mentoring through various stages of your matriculation at DSU is engrained into the very fabric of our culture. Our students get trained on various platforms and various operating systems, all while remaining technology and vendor agnostic. We are continuously modifying and improving our programs of study to ensure that future students have the necessary skills to forge meaningful contributions to the profession and society. Students will have much opportunity to shape their future while pursuing a program of study with the CIS Department. Along with all these opportunities and a semester long research project (senior capstone), our students find employment prior to or right after graduation. Recent examples are Software Developer for U.S. Department of Justice, IT Specialists Intel and U.S. Department of Agriculture (USDA), Cyber Security Specialist at USDA, Cyber Security and Privacy Consultant for IBM, and Project Manager at Intel to name a few. Our students also have gone on to pursue graduate studies at other Universities, such as North Carolina State University, Rutgers, and MIT.   Back to the College Home Page
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Now offering courses in the exciting area of DATA ANALYTICS!

For more information, contact us at 302-857-6640.

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Faculty Profile


Chair:
Dr. Marwan F. Rasamny
SCN 330
302-857-7896
 
 
Professors:
Dr. David D. Pokrajac (pdf)
SCN 334B
302-857-7053

Associate Professors:
Dr. Kam Kong (pdf)

SCN 332C
302-857-6641

Dr. Zhongyan Lin
SCN 332D
302-857-6557

Assistant Professors:
Dr. Gary F. Holness
SCN 342
302-857-7932
 
Dr. Hongxin Hu
SCN 334B
302-857-7723
 
Dr. Janko Milutinovic
SCN 334C
302-857-6648
 
Dr. Tomasz G. Smolinski (pdf)
SCN 344
302-857-7951
 

Instructor:
Mrs. Shilpa Patel
SCN 332B
302-857-6555

 
Adjuncts:
 
 
Lab Coordinator/System Administrator:
Mr. Andrew Hobbs
SCN 332F
302-857-7814

Senior Secretary:

Mrs. Sherron Stevens
SCN 330
302-857-6640

Professional Organizations


www.acm.org

www.ieee.org

 

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