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Dr. Azadeh Izadi

Dr. Azadeh Izadi

Dr. Azadeh Izadi

Assistant ProfessorComputer Science and Engineering Technology


Dr. Azadeh Izadi is an Assistant Professor in the Department of Computer Science at UHD. Joining the university in 2023. She earned her Ph.D. in computer science from Massey University, New Zealand, in 2021, where her research focused on developing an ontology to represent spatial relations between geographic objects, later implemented in geographic information systems.

During her doctoral studies, she collaborated with international researchers at the University of Leeds (UK) and the University of Maine (USA). Prior to this, Dr. Izadi earned her M.Sc. in Digital Electronics Engineering from Sharif University of Technology, Iran, in 2010. Her thesis showcased her expertise in implementing a learning algorithm to partition human brain magnetic resonance images (MRI) for detecting tumoral tissue.

Before joining UHD, Dr. Izadi served as an Assistant Professor at the University of Texas at Tyler, gaining valuable experience. Preceding her Ph.D., she contributed significantly as a lecturer in the Electrical Engineering Department at Azad University for six years. She has been teaching a diverse range of courses, including digital systems design, microprocessors, microelectronics circuits, machine learning, and programming. Dr. Izadi's multidimensional background enriches her teachings and research, making her an indispensable asset to the academic community.

Degrees Earned

Massey University, Ph.D., 2021

Sharif University of Technology, M.Sc., 2010

Azad University, B.Sc., 2005

Courses Taught

CS1411 Introduction to Computer Science with Python

CS4332 Artificial Intelligence

CS5332 Introduction to Artificial Intelligence

CS6332 Advance Artificial Intelligence

Experience Qualifications

2021-2023, Assistant Professor, Dep. Computer and Electrical Engineering, The University of Texas at Tyler

2016-2019, Teacher Assistant, Dep. Science and Technology, Massey University

2017, Research Assistant, Dep. Computer Science, University of Maine(4 months)

2017, Research Assistant, Dep. Computer Science, Leeds University(2 months)

2010-2016, Lecturer, Dep. Electrical Engineering, Azad University

More Information


I am interested in qualitative knowledge representation and reasoning (QKRR). It is a field of artificial intelligence (AI) that focuses on representing and reasoning about knowledge in a less precise, non-numeric manner. It deals with the representation of knowledge that cannot be easily quantified or precisely measured, such as properties like color, shape, size, or relationships like proximity and similarity.

QKRR finds applications in natural language processing, computer vision, robotics, intelligent tutoring systems, and decision support systems, aiding in managing complex and ambiguous real-world information effectively.


A multidimensional mereotopological theory, A. Izadi, T. Hahmman, H. Guesgen, K. Stock, 32nd Workshop on Qualitative Reasoning, IJCAI 2019, Macao, China.

A modification of RCC*-9, A. Izadi, T. Hahmman, H. Guesgen, K. Stock, Geocomputation 2019, Queenstown, New Zealand.

Multidimensional region connection calculus, A. Izadi, K. Stock, H. Guesgen, 30nd Workshop on Qualitative Reasoning, IJCAI 2017, Melbourn, Australia.

Transformed base normalized cut for MRI segmentation, A. Izadi, S.Bagheri, M. Soleymani, 6th Machine Vision and Image Processing Conference, Isfahan 2010, Iran.

Semi-supervised clustering for human brain segmentation, A. Izadi, S. Bagheri, M. Soleymani, 3rd International Conference on Machine Vision 2010, Hong Kong, China.