Dr. Deok (Doug) Hee Nam MS, PhD (937) 708 5624 email@example.com
Dr. Chih .T. Chen M, PhD (937) 708 5682 firstname.lastname@example.org
Dr E. Asikele MS, PhD, PE (937) 708 5657 email@example.com
Prof H.Stewart BS, MS (937) 708 5448 firstname.lastname@example.org
Prof K. Habash BS, MS (937) 708 5666 email@example.com
Special Programs and Projects
CPS 499: Special Topics (Subtitle: Design and Modeling of Stochastic Systems) 3 Cr.
This course is designed to be interdisciplinary, integrating topics from a variety of disciplines such as computer science, engineering, marketing, management, and political science. This was developed as part of an ongoing research grant between Wilberforce University and the National Nuclear Security Administration (NNSA), and is being team-taught this semester. Cross-listed under an existing engineering elective- Stochastic Systems, the focus is largely on random variables and random processes, applications of stochastic systems and stochastic modeling, with applicability to intelligent systems. Students will further focus on the simulation and identification of a linear dynamic system driven by white noises. Additionally, the course also aims to expose engineering majors to other related areas of interest such as disaster management, risk analysis involved in managing large (engineering) projects, promoting an awareness of nuclear energy and nuclear security issues, and supply chain management and the use of Radio Frequency Identification (RFID) technology. Students are also made aware of some generally useful tools and techniques such as the use of decision trees, the analytical hierarchy process, and Monte Carlo simulations. Research conducted by current Wilberforce University faculty working on the NNSA grant is also featured in the course. Another unique feature of this course is that, in addition to traditional exams and assignments, the students are also involved in a couple of hands – on, mini projects including the development of a simple expert system for catastrophic disasters such as floods, earthquakes, hurricanes, or nuclear disasters, and constructing a small-scale RFID experiment.
Most Popular Classes
CPS 348. Object Oriented Programming
This course focuses on values, types, constants, objects and classes, arrays, pointers, references, operators, inheritance, heterogeneous lists, and virtual functions. Applications of these concepts to graphics, managing and coordinating machine resources.
CPS 365. Internet Applications Development
This course discusses the object oriented programming; object oriented development process, creating classes, subclasses, class hierarchies and encapsulation. Applications of these concepts are applied in creating hypertext document, creating World Wide Web locations in uniform resource locator format, TCP protocol, IP protocol, transferring files and business applications software development for the Internet.
CPS 391. Software Engineering
This course concentrates on the techniques in computer software specification, design, implementation, testing, documentation and maintenance; development of a large scale project by students working in teams.
CPS 441. Comparative Languages
This course focuses on the programming language constructs, organization, specification and analysis such as preliminaries of Java Programming, Syntax and Semantics, Lexical and Syntax Analysis, Names, Bindings, Type checking, and Scopes, Data Types, Expressions and Assignments Statements, and Control Structures.
On-going Research Projects:
Implementing the microarray image scanner using the algorithm for microarray image processing to measure the intensities of the arrayed spots, and based on these intensities to quantify the spots expression levels to assess the reliability of the quantified spot data and generate warnings to the possible problems during the array production and/or hybridization phases (Funded by United Negro College Fund)
Developing an Expert System for Modeling Simulation and Visualization for Natural Disasters using Radio Frequency Identification technology with the application of wireless network (Funded by National Nuclear Security Administration in the Department of Energy)
Previous Research Projects:
Modeling Simulation and Visualization for Natural Disasters and its Mapping – Developing and simulating the expert system for the proactive analysis of catastrophic disasters in United States. (Funded grant by National Nuclear Security Administration in the Department of Energy)
Developing a model and simulating the system for image processing to detect targets and predict the possible targets using fuzzy logic applications (Funded by Clarkson Aerospace Company)
Developing systems on path prediction for mobile robots, Fuzzy Logic applications, Systems reductions using statistical methods, Time problems in distributed control.
RECENT PUBLICATIONS AND PRESENTATIONS:
Dr Deok (Doug) Hee Nam:
D. Nam, “Development of an expert system as a user interface for an RFID application”, Proceedings of the 13th International Conference on Human-Computer Interaction, July 19 – 24, 2009, Town and Country Resort & Convention Center, San Diego, CA, USA. (Accepted)
D. Nam and E. Asikele, “Data mining of image segments data with reduced neurofuzzy system”, Proceedings of the 13th International Conference on Human-Computer Interaction, July 19 – 24, 2009, Town and Country Resort & Convention Center, San Diego, CA, USA. (Accepted)
D. Nam, H. Singh, T. Meitzler, G. Gerhart, “Prediction of Search Time by Scaling a Neuro Fuzzy System,” IEEE Transactions on Aerospace and Electronic Systems. (to be submitted)
D. Nam, “A new algorithm for RFID wireless sensor network”, Proceedings of the ISCA 21 st International Conference on Computers and Their Applications (CAINE-2008), Nov. 12 –14, 2008, Honolulu, Hawaii. pp. 131–136.
H. Singh, A. Mustapha, A. Dixit, D. Nam, G. Witus, G. Gerhart, “On A New Approach to Reduction of Data for ANFIS Application to Unmanned Robotic Vehicles,” SPIE Europe Security and Defence conferences and courses, Sep. 15 – 18, 2008, University of Wales Institute, Cardiff (UWIC), Cardiff, UK,
D. Nam, “Data Extraction for Pattern Recognition using Preprocessed Multivariate Analysis”, 2008 International Conference on Artificial Intelligence and Pattern Recognition (AIPR-08). July 7–10, 2008, Orlando, Florida. (Invited Paper), pp. 289 – 294.
J. Ge, D. Nam, K. Habash,” Networked Parallel Simulation of Transmission Grid,” The International Conference on Modeling, Simulation & Visualization Methods (MSV 08) (under The 2008 World Congress in Computer Science, Computer Engineering, and Applied Computing (WORLDCOMP'08)), July 14 –17, 2008, Las Vegas, USA, pp. 84 – 88.
D. Nam, “Realization of Crop Viruses by Neurofuzzy Systems using Hybrid Mining Algorithm”, Proceedings of the 4th International Conference on Cybernetics and Information Technologies, Systems and Applications (CITSA 2007), July 12-15, 2007, Orlando, Florida, pp. 98 − 103.
D. Nam, “Prediction of pattern recognition using neruofuzzy with equivalently reduced dimension systems”, Proceedings of the 2007 International Conference on Artificial Intelligence and Pattern Recognition (AIPR-07). July 9-12, 2007, Orlando, Florida, pp. 521− 527
Presentations (Selected presentations since 2008)
Dr. Nam will present the paper, “Development of an expert system as a user interface for an RFID application” at the13th International Conference on Human-Computer Interaction, July 19 – 24, 2009, Town and Country Resort & Convention Center, San Diego, CA, USA.
Dr. Nam will present the paper, “Data mining of image segments data with reduced neurofuzzy system” at the 13th International Conference on Human-Computer Interaction, July 19 – 24, 2009, Town and Country Resort & Convention Center, San Diego, CA, USA.
Dr. Nam presented the paper, “A new algorithm for RFID wireless sensor network”, at the ISCA 21 st International Conference on Computers and Their Applications (CAINE-2008), Nov. 12 –14, 2008, Honolulu, Hawaii. pp. 131–136.
Dr. Nam presented the paper, “Data Extraction for Pattern Recognition using Preprocessed Multivariate Analysis” at 2008 International Conference on Artificial Intelligence and Pattern Recognition (AIPR-08). July 7–10, 2008, Orlando, Florida. (Invited Paper), pp. 289 – 294.
Dr C.T. Chen:
Demonstration: “Moodle on the Run, A complete Moodle System on a Memory Stick” The NITLE Summit, San Francisco, April 3 – 5, 2008. Technology demonstration of a complete implementation of a Moodle system on a memory stick that can be used as an information management tool for individual or as a course management server (need a static IP address) for different audience groups. Copies of demo programs were distributed during the inhabitation.
Participation: Invited to the NITLE’s Instructional Technology Leaders’ Conference and joined the Panel discussion of IT for the enhancement of Liberal Arts Higher Education. April 13 -15, Washington and Lee University.
Presentation: “Moodle Forum for Calculus” The Moodle Community meeting, June 11 -13, University of Puget Sound, Presentation of how to create an interactive learning environment for Calculus classes using the Moodle Forum module.