| Associate Professor with Tenure | |
| Dept. of Computer Science & Engineering. | travis.doom@wright.edu |
| Wright State University | http://www.wright.edu/~travis.doom |
| Dayton, OH 45431-0001 | (937) 775-5105 |
Education
Work Experience
Research Interests
Research interests include design automation, computational biology, high-performance computer architecture and systems, performance evaluation/operational analysis, distributed/parallel systems, and computational theory.
An undergraduate program in bioinformatics: Bioinformatics is a new and rapidly evolving discipline that has emerged from the fields of experimental molecular biology and biochemistry, and from the the artificial intelligence, database, and algorithms disciplines of computer science. Largely because of the inherently interdisciplinary nature of bioinformatics research, academia has been slow to respond to strong industry and government demands for trained scientists to develop and apply novel bioinformatics techniques to the rapidly-growing, freely-available repositories of genetic and proteomic data. This research is focused on the creation of a complete and cohesive program of study to allow baccalaureate degree program students opportunities to prepare themselves to take part in the basic research of this emerging discipline and be immediately available to meet the workforce needs of the nation.
Automation of forensic DNA evidence analysis: Forensic DNA evidence is typically generated and interpreted by state or federal crime laboratories who assist prosecutors both before and during trial. This research investigates the automation of the analysis of this data to allow attorneys and experts to more affordabily and objectively determine if forensic DNA evidence has been reliably generated and interpreted. The development of an automated and objective system for such analysis has the potential to facilitate such screenings on a large scale and to help objectively standardize significance for forensic DNA testing results.
Design recovery for digital systems: The goal of digital reengineering is to respecify or remanufacture an electronic part, board, or system without resorting to a complete redesign of the system. Reengineering techniques reported in the literature make the simplifying assumption that complete design information is available at some level of description. In practice, the recovery of design is exceptionally challenging since often only partial information about the design is available. In this project we attempt to provide a systematic methodology for representing full or partial functionality, reconstructing missing information, detecting conflicts, and identifying high-level functionality of known or recovered components. We also attempt to produce behavioral-level descriptions from structural-level information obtained from digital components. Existing syntactic techniques that attempt this task depend upon exact structural matching of components and are thus subject to failure in the presence of optimizations or intentional obfuscation. Our semantic approach attempts to identify behavioral-level modules by finding component matchings for subcircuit functionality.
Teaching Interests
Teaching interests include both undergraduate and graduate computer science, computer engineering, and electrical engineering courses. Particular areas of teaching interest include bioinformatics, digital systems design, computer architecture, design automation, operating systems, telecommunications/data networks, parallel/distributed systems, and theoretical computer science.
Grants
Scholarship
Awards and Honors
Service
Last modified: 08/07/08