Photograph of Iren Todorova Valova

Iren Valova, PhD

Professor

Computer & Information Science

Dr. Iren Valova’s Research Website

508-999-8502

508-999-9144

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Dion 302D

Education

1997Tokyo Institute of Technology, JapanPhD in Computer Science
1993Technical University, Sofia, BulgariaMS in Applied Mathematics
1991Technical University, Sofia, BulgariaBS in Computer Science

Teaching

Programs

Teaching

Courses

Topics and methods supporting an experimental approach to the study of issues in computer science and software engineering. Course covers the basic principles of experimental design and case study construction. Emphasis in the course is on the use of empirical methods for decision making and the evaluation of research in computer science and software engineering that employ empirical methods.

Part II of two-semester sequence of team development of a software product for a specific customer. This capstone project utilizes and integrates knowledge and skills acquired through study of computer science. Provides hands-on experience with large-scale problem from conception to implementation of the solution. Is conducted in a framework of well-defined low-ceremony software process. The lecture covers advanced software process issues including software process improvement, and total quality management at the team and enterprise levels

Study under the supervision of a faculty member in an area covered in a regular course not currently being offered. Conditions and hours to be arranged.

Prerequisites: Completion of three core courses.   Development of a detailed, significant project in computer science under the close supervision of a faculty member, perhaps as one member of a student team. This project may be a software implementation, a design effort, or a theoretical or practical written analysis. Project report with optional oral presentation must be evaluated by three faculty members including the project supervisor.  

Prerequisite: Completion of three core courses. Research leading to submission of a formal thesis. This course provides a thesis experience, which offers a student the opportunity to work on a comprehensive research topic in the area of computer science in a scientific manner. Topic to be agreed in consultation with a supervisor. A written thesis must be completed in accordance with the rules of the Graduate School and the College of Engineering. Graded A-F.

Prerequisite: Completion of three core courses. Research leading to submission of a formal thesis. This course provides a thesis experience, which offers a student the opportunity to work on a comprehensive research topic in the area of computer science in a scientific manner. Topic to be agreed in consultation with a supervisor. A written thesis must be completed in accordance with the rules of the Graduate School and the College of Engineering. Graded A-F.

Prerequisite: Completion of three core courses. Research leading to submission of a formal thesis. This course provides a thesis experience, which offers a student the opportunity to work on a comprehensive research topic in the area of computer science in a scientific manner. Topic to be agreed in consultation with a supervisor. A written thesis must be completed in accordance with the rules of the Graduate School and the College of Engineering. Graded A-F.

A team-based learning experience that gives students the opportunity to synthesize prerequisite course material and to conduct real-world analytics projects using large data sets of diverse types and sources. Students work in independent teams to design, implement, and evaluate an appropriate data integration, analysis, and display system. Oral and written reports and ethical aspects are highlighted.

Research

Research Interests

  • Artificial intelligence
  • Brain modeling
  • Data mining
  • Expert Systems
  • Image processing

External links

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