Visit AUM
Apply at AUM
Contact
Back
Dr. Ola Surakhi
| Academic Rank/Date: | Assistant Professor |
|---|---|
| Email: | o.surakhi@aum.edu.jo |
| Ext. Number: | +962 (5) 3294444 – Ext. 5109 |
Degrees with fields, institution, and date:
| Degree | Discipline/Field | Institution | Country | Year |
|---|---|---|---|---|
| PhD | Computer Science | University of Jordan | Jordan | 2021 |
| Master | Computer Science | Princess Sumaya University for Technology | Jordan | 2014 |
| Bachelor | Computer Science | University of Jordan | Jordan | 2000 |
Other Related Experience-Teaching, Industrial, etc.:
| Period | Position | Institution | Country | Year |
|---|---|---|---|---|
| One year | Assistant Professor | Middle East University | Jordan | 2022 |
| One year | Postdoctoral Researcher | Princess Sumaya University for Technology | Jordan | 2021 |
| Two years | Teaching Assistant | University of Jordan | Jordan | 2017 |
| Two years | Teacher | Saud International School | Saudi Arabia | 2012 |
Principal Publications of the Last Five Years:
| Publication | Year |
|---|---|
| Evidence Preservation in Digital Forensics: An Approach Using Blockchain and LSTM-Based Steganography | 2024 |
| A Comparative Analysis of the TDCGAN Model for Data Balancing and Intrusion Detection | 2024 |
| A Sensitive Analysis for Teacher Burnout Identification using Deep Learning Method: Jordan Case Study | 2024 |
| A Comprehensive Survey on the Data-Driven Approaches used for Tackling the COVID-19 Pandemic | 2024 |
| A Dynamic Locality Sensitive Hashing Algorithm for Efficient Security Applications | 2023 |
| A new data-balancing approach based on generative adversarial network for network intrusion detection system | 2023 |
| A Generalized Data-Driven Modelling for COVID-19 Pandemic Outbreak: Jordan Case Study | 2023 |
| VANET Intrusion Investigation Based Forensics Technology: A New Framework | 2023 |
| Short-Term and long-term COVID-19 pandemic forecasting revisited with the emergence of OMICRON variant in jordan | 2022 |
| The intrusion detection system by deep learning methods: issues and challenges | 2022 |