Samira Ghayekhloo
-
School of Computing and Augmented Intelligence BYENG 514 Tempe, AZ 85281
-
Mail code: 8809Campus: Tempe
-
Samira Ghayekhloo is a Assistant teaching professor at the School of Computing and Augmented Intelligence in Arizona State University-Tempe since Fall 2019. She earned her PhD in Artificial Intelligence and has over ten years of teaching experience in AI courses including Knowledge Representation, Expert Systems, Data Mining, and Machine Learning.
Before joining ASU, Samira served as an Assistant Professor at Azad University, Iran, in the Department of Computer Engineering for three years. During her tenure, she mentored numerous graduate and undergraduate students and provided advisory guidance for their final projects.
Ph.D. Eastern Mediterranean University, 2016
Data processing: Data visualization, Data analysis.
Expert systems: Knowledge representation, Semantic Web services.
Papers:
- Ghayekhloo, S., Bayram, Z., “Pre-filtering Strategy to Improve Performance of Semantic Web Service Discovery.” Journal of scientific programming, 2015.
- Ghayekhloo, S., Bayram, Z., “RFSWS: A Novel Rubric and Feature-Based Appraisal and Comparison Framework for the Evaluation of Semantic Web Services Composition Approaches.” Indian journal of science and technology, 2015.
- Ghayekhloo, S., Eslami, F., “Survey The Effect of E-learning on real example of Student in university.” Proc. of The 1st regional Conference of New Achievements in Electrical & Computer Engineering, Iran, 2010.
- Ghayekhloo, S., Besharati, A., “The Hidden value of E-City.” Proc. of The 1st regional Conference of New Achievements in Electrical & Computer Engineering, Jouybar, Iran, 2010.
- Ghayekhloo, S., Nassiri, R., Latif S., G., “A Novel Approach for IT Governance.” In Proc. of 2nd International Conference on Advance Computer Theory and Engineering (ICACTE 2009), Cairo, Egypt, 2009.
- Ghayekhloo, S., Nassiri, R., Latif S., G., “What is the best framework for IT Governance? ITIL v3 versus COBIT 4.1.” In Proc. of IV International Congress: Evolving from IT Service Management to IT Governance, Madrid-Spain, 2009.
- Ghayekhloo, S., Sedighi, M., Nassiri, R., Latif Shabgahi, G., and Khodadadi T., H., "Pathology of organizations currently implementing ITIL in developing countries." In Computer and Electrical Engineering, 2009. ICCEE'09. IEEE, 2009.
- Nassiri, R., Ghayekhloo, S., Latif S., G., “A Novel Approach for IT Governance a practitioner view.” In Proc.3rd of International Conference on Information Theory and Engineering (ICITE 2009), Kota Kinabalu, Malaysia, 2009.
- Ghayekhloo, S., “The Hidden Value OF Financial Management in ITIL.” In Proc. of congress of IT Service Management, Tehran, Iran, 2008.
- Ghayekhloo, S., Ghayekhloo, S., Ahmadian, H., "E-City & E-Business; Architecture and Requiremenst." In Proc. of the 1St International Conference on E-City, Iran, 2008.
Book:
- Ghayekhloo, S., “General Mathematics (I), Problems Analysis”, 2004, ISBN: 964-6842-26-5, Printed in Iran & in Persian language. This book is a complementary resource for undergraduate students in Computer Engineering. It covers the outlines of the course Math I. This Book Printed in Iran & Written in Persian Language.
Courses
2023 Fall
Course Number | Course Title |
---|---|
CSE 580 | Practicum |
CSE 580 | Practicum |
CSE 511 | Data Processing at Scale |
FSE 100 | Introduction to Engineering |
CSE 579 | Knowledge Representation |
CSE 511 | Data Processing at Scale |
CSE 579 | Knowledge Representation |
ASU 101-CAI | The ASU Experience |
ASU 101-CAI | The ASU Experience |
ASU 101-CAI | The ASU Experience |
ASU 101-CAI | The ASU Experience |
ASU 101-CAI | The ASU Experience |
ASU 101-CAI | The ASU Experience |
ASU 101-CAI | The ASU Experience |
ASU 101-CAI | The ASU Experience |
2023 Summer
Course Number | Course Title |
---|---|
CSE 578 | Data Visualization |
CSE 579 | Knowledge Representation |
2023 Spring
Course Number | Course Title |
---|---|
CSE 580 | Practicum |
CSE 578 | Data Visualization |
CSE 578 | Data Visualization |
CSE 579 | Knowledge Representation |
CSE 579 | Knowledge Representation |
ASU 101-CAI | The ASU Experience |
CSE 572 | Data Mining |
2022 Fall
Course Number | Course Title |
---|---|
CSE 580 | Practicum |
ASU 101-CSE | The ASU Experience |
CSE 580 | Practicum |
ASU 101-CSE | The ASU Experience |
ASU 101-CSE | The ASU Experience |
CSE 511 | Data Processing at Scale |
CSE 579 | Knowledge Representation |
CSE 511 | Data Processing at Scale |
2022 Summer
Course Number | Course Title |
---|---|
CSE 578 | Data Visualization |
2022 Spring
Course Number | Course Title |
---|---|
CSE 578 | Data Visualization |
CSE 578 | Data Visualization |
CSE 578 | Data Visualization |
CSE 579 | Knowledge Representation |
ASU 101-CSE | The ASU Experience |
CSE 579 | Knowledge Representation |
2021 Fall
Course Number | Course Title |
---|---|
CSE 259 | Logic in Computer Science |
CSE 259 | Logic in Computer Science |
CSE 259 | Logic in Computer Science |
CSE 511 | Data Processing at Scale |
CSE 575 | Statistical Machine Learning |
CSE 259 | Logic in Computer Science |
CSE 511 | Data Processing at Scale |
CSE 575 | Statistical Machine Learning |
CSE 511 | Data Processing at Scale |
ASU 101-CSE | The ASU Experience |
2021 Spring
Course Number | Course Title |
---|---|
CSE 578 | Data Visualization |
CSE 579 | Knowledge Representation |
CSE 579 | Knowledge Representation |
CSE 578 | Data Visualization |
CSE 578 | Data Visualization |
CSE 579 | Knowledge Representation |
2020 Fall
Course Number | Course Title |
---|---|
CSE 259 | Logic in Computer Science |
CSE 259 | Logic in Computer Science |
CSE 259 | Logic in Computer Science |
CSE 511 | Data Processing at Scale |
CSE 575 | Statistical Machine Learning |
CSE 259 | Logic in Computer Science |
CSE 511 | Data Processing at Scale |
CSE 575 | Statistical Machine Learning |
CSE 511 | Data Processing at Scale |
2020 Spring
Course Number | Course Title |
---|---|
CSE 575 | Statistical Machine Learning |
CSE 575 | Statistical Machine Learning |
CSE 565 | Software Verif/Validation/Test |
CSE 565 | Software Verif/Validation/Test |
CSE 575 | Statistical Machine Learning |
CSE 575 | Statistical Machine Learning |
2019 Fall
Course Number | Course Title |
---|---|
CSE 511 | Data Processing at Scale |
CSE 511 | Data Processing at Scale |
- Assistant Professor, IAU, IRAN (2016-2018)
-
MCS online course coordinator for CSE 579 & CSE 578 courses ( Fall 2022- Present
-
TA Committee, member (2022- Present)
-
Faculty Search Committee, member (2022- Present)
-
MCS Online Webinar (2021- present)
- Grand Award Judge, The Intel International Science and Engineering Fair (Intel ISEF), May 2021.
- ABET Coordinator, Eastern Mediterranean University (EMU), Cyprus, (2012-2015)