Safa Abdul-jabbar

@uobaghdad.edu.iq

Computer science department
College of Science for Women, University of Baghdad

Safa Abdul-jabbar


                           Download Compact PDF  
https://researchid.co/safasami
Safa Abdul-Jabbar received her Ph.D. in 2023 from the Computer Science Department at the University of Technology, specializing in security and cloud computing in healthcare. She obtained her master's degree in 2017 from the Computer Science Department at the University of Baghdad and her B.Sc. in Computer Science in 2009 from the College of Science for Women at the University of Baghdad, Iraq. She has been working at the College of Science for Women, University of Baghdad, since 2019.

EDUCATION

Safa Abdul-Jabbar received her Ph.D. in 2023 from the Computer Science Department at the University of Technology, specializing in security and cloud computing in healthcare. She obtained her master's degree in 2017 from the Computer Science Department at the University of Baghdad and her B.Sc. in Computer Science in 2009 from the College of Science for Women at the University of Baghdad, Iraq.

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Science Applications, Artificial Intelligence, Information Systems
12

Scopus Publications

129

Scholar Citations

6

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Smart city: State of the art and challenges
    Asmaa Hasan Alrubaie, Duha Dawood Salman, Suha Dhahir Athab, Safa Sami Abdul-Jabbar
    Aip Conference Proceedings, 2024
    Smart City is an emerging interdisciplinary research field. They refer to the continuous development of social, technological, economic, and political factors, which provide opportunities for the continuous refinement of the concept of smart city. Many cities throughout the globe are planning projects or strategies aimed at implementing smart solutions. There is no effective reference model that can be used to construct obvious roadways for smart cities, despite the fact that there are many successful instances. This is due to the fact that cities are living entities with a great number of variables and different sectors of action, among other things. Therefore, Therefore, the analysis is done to summarize the present state for understanding the notion of smart cities and propose communication platform for developing it.
  • Exploring the Literature of Data Analytics Services on Cloud Computing: A Comprehensive Summary
    Safa S. Abdul-Jabbar, Alaa k. Farhan
    Iraqi Journal of Science, 2024
    Data generated from the internet and modern applications is extensive and rapidly expanding. So, all modern applications must successfully perform tasks using this massive data. Therefore, one of the significant factors for the success of any application is understanding and extracting meaningful information using digital analytics tools to positively impact the application's performance and deal with challenges that can be encountered. On the other hand, cloud computing is simply an environment comprising a collection of high-performance services from various vendors. These services can frequently access and process massive amounts of data faster than a traditional computer. One of these services is cloud analytics, which applies cloud-based analytic algorithms against data in a private or public cloud to get the desired outcome. This paper differentiates between several analytics methodologies to create highly consistent, logical, and information-rich summaries. This research has discussed and analyzed many studies related to this field. Therefore, the results of this paper can be utilized to determine the advantages of these methods, which will help future researchers in their research for a more organized and thorough analysis when dealing with such applications. In addition, this paper attempts to discover new directions and propose new guidelines in this evolving field.
  • Mining categorical Covid-19 data using chi-square and logistic regression algorithms
    Asmaa Hasan Alrubaie, Alia Karim Abdulhassan, Safa Sami Abdul-Jabbar, Asmaa Abdullah Muhammad, Duaa Jaffer Al Hammami
    Aip Conference Proceedings, 2023
    This paper provide a general overview on different kinds of mining categorical covid-19 data Using Chi-Square and Logistic Regression Algorithms. Our study methodology are categorized into three steps, the first one is data preprocessing feature extraction approaches, the second is feature selection by using chi-square approach,and finally classification by using Logistic Regression Algorithm approaches. Some techniques are illustrated in details while the others with general explanation. In this research we used two datasets (dataset1 dataset2) in order to test and train our program. The final result after applying chi-square and logistic regression algorihm to the aforementioned data set, the category of each input case will be determines by the likelihood of belonging to one of the two categories in the data set. © 2023 Author(s).
  • Data Analytics and Blockchain: A Review
    Safa S. Abdul-Jabbar, Alaa Kadhim Farhan, Rana Fareed Ghani
    Iraqi Journal of Computers Communications Control and Systems Engineering, 2023
    Blockchain technology relies on cryptographic techniques that provide various advantages, such as trustworthiness, collaboration, organization, identification, integrity, and transparency. Meanwhile, data analytics refers to the process of utilizing techniques to analyze big data and comprehend the relationships between data points to draw meaningful conclusions. The field of data analytics in Blockchain is relatively new, and few studies have been conducted to examine the challenges involved in Blockchain data analytics. This article presents a systematic analysis of how data analytics affects Blockchain performance, with the aim of investigating the current state of Blockchain-based data analytics techniques in research fields and exploring how specific features of this new technology may transform traditional business methods. The primary objectives of this study are to summarize the significant Blockchain techniques used thus far, identify current challenges and barriers in this field, determine the limitations of each paper that could be used for future development, and assess the extent to which Blockchain and data analytics have been effectively used to evaluate performance objectively. Moreover, we aim to identify potential future research paths and suggest new criteria in this burgeoning discipline through our review. Index Terms— Blockchain, Distributed Database, Distributed Consensus, Data Analytics, Public Ledger.
  • Secure QR-Code Generation in Healthcare
    Safa S. Abdul-Jabbar, Alaa k. Farhan
    Karbala International Journal of Modern Science, 2023
    QR codes have become ubiquitous across several industries, including e-commerce, education, and healthcare. In the healthcare sector, QR codes are increasingly used to relay essential information regarding medical products, patient history, and healthcare education. In addition, QR codes have proven to help secure and preserve patient records during transmissions. This paper aims to develop and analyze the implementation of QR code technology for healthcare appli-cations. The proposed approach involves generating a unique QR code for each patient's information, facilitating data transmission between nodes such as hospitals. With its small size, the QR code provides a simple solution to transfer patient records, reducing internet capacity requirements and minimizing latency. The proposed system utilizes advanced techniques such as Diffie Hellman and logistic map for key generation and distribution, hash algorithm and Lorenz equation for key mask generation, the salting algorithm for data integrity, DNA encoding, and Huffman Algorithm for data coding. The proposed system's usability was tested with 366 patient records, and the results indicate that 99.76% of data was saved with a compression ratio of 416.8 for each patient record. Moreover, the comparative analysis demon-strated that the proposed strategy outperforms other data capacity, security, and integrity methods. Overall, the proposed system can revolutionize data transmission and security in the healthcare sector, ensuring the safety and confidentiality of patient records.
  • A Comparative Study of Anemia Classification Algorithms for International and Newly CBC Datasets
    Safa S. Abdul-Jabbar, Alaa K. Farhan, Alexander S. Luchinin
    International Journal of Online and Biomedical Engineering, 2023
    Data generated from modern applications and the internet in healthcare is extensive and rapidly expanding. Therefore, one of the significant success factors for any application is understanding and extracting meaningful information using digital analytics tools. These tools will positively impact the application's performance and handle the challenges that can be faced to create highly consistent, logical, and information-rich summaries. This paper contains three main objectives: First, it provides several analytics methodologies that help to analyze datasets and extract useful information from them as preprocessing steps in any classification model to determine the dataset characteristics. Also, this paper provides a comparative study of several classification algorithms by testing 12 different classifiers using two international datasets to provide an accurate indicator of their efficiency and the future possibility of combining efficient algorithms to achieve better results. Finally, building several CBC datasets for the first time in Iraq helps to detect blood diseases from different hospitals. The outcome of the analysis step is used to help researchers to select the best system structure according to the characteristics of each dataset for more organized and thorough results. Also, according to the test results, four algorithms achieved the best accuracy (Logitboost, Random Forest, XGBoost, Multilayer Perceptron). Then use the Logitboost algorithm that achieved the best accuracy to classify these new datasets. In addition, as future directions, this paper helps to investigate the possibility of combining the algorithms to utilize benefits and overcome their disadvantages.
  • Fast 128-bit Multi-Pass Stream Ciphering Method
    Safa S. Abdul-Jabbar, Abeer E. Abed, Sajaa G. Mohammed, Faisel G. Mohammed
    Iraqi Journal of Science, 2023
    Information is an essential and valuable object in all systems. The more information you have about your issue, the better you can conform to the world around you. Moreover, information recognizes companies and provides influence that helps one company be more effective than another. So, protecting this information using better security controls and providing a high level of access to authorized parties becomes an urgent need. As a result, many algorithms and encryption techniques have been developed to provide a high level of protection for system information. Therefore, this paper presents an enhancement to the Blowfish algorithm as one of the cryptography techniques. Then it proposes an enhancement for increasing efficiency and secrecy for this algorithm, which are the main criteria for these modifications. In this paper, the main modification made for the Blowfish algorithm is altering the S-box according to the principles of the block cipher (OFB). The results were approved using hamming distance and avalanche effect. The proposed algorithm presents advantages on several points, including reducing the required time for the encryption and decryption processes and preventing transmission errors from perpetuating all data. Also, we can conclude that the modified Blowfish algorithm can be used for all text encryption systems because of its flexibility (unlimited input text size and expanding key size).
  • Data Analytics and Techniques: A Review
    Safa S. Abdul-Jabbar, Alaa K. Farhan
    Aro the Scientific Journal of Koya University, 2022
    Big data of different types, such as texts and images, are rapidly generated from the internet and other applications. Dealing with this data using traditional methods is not practical since it is available in various sizes, types, and processing speed requirements. Therefore, data analytics has become an important tool because only meaningful information is analyzed and extracted, which makes it essential for big data applications to analyze and extract useful information. This paper presents several innovative methods that use data analytics techniques to improve the analysis process and data management. Furthermore, this paper discusses how the revolution of data analytics based on artificial intelligence algorithms might provide improvements for many applications. In addition, critical challenges and research issues were provided based on published paper limitations to help researchers distinguish between various analytics techniques to develop highly consistent, logical, and information-rich analyses based on valuable features. Furthermore, the findings of this paper may be used to identify the best methods in each sector used in these publications, assist future researchers in their studies for more systematic and comprehensive analysis and identify areas for developing a unique or hybrid technique for data analysis.
  • Using Three-Dimensional Logistic Equations and Glowworm Swarm Optimization Algorithm to Generate S-Box
    Sanaa Ali Jabber, Ammar Mohammd, Ali Al-Tameemi, Safa S. Abdul-Jabbar, A Alhudhaif, et al.
    International Journal of Intelligent Engineering and Systems, 2022
    A major component of symmetric cryptosystems is the substitution box (S-box), which is primarily utilized in existing cryptographic ciphers to ensure secure data sanctuaries. The cryptographic strength of an S-box used in the encryption directly correlates to the amount of data protection that a cipher offers. This work developed a suitable configuration (8x8) S-box using metaheuristic approaches based on the Glowworm Swarm Optimization (GSO) algorithm and three-dimensional (3D) logistic equations to construct pseudo-random number generators. Chaotic maps boost the initial population of the GSO, making it a suitable place to start. The nonlinearity score of the S-box served as the GSO's objective function. Operations for exploration and exploitation are balanced using the GSO. In comparison to various references, the proposed S-box satisfied all of the S-security box's requirements, including the strict avalanche criterion (SAC), bijection, nonlinearity, output bits independence criteria (BIC), and histogram. The proposed method's nonlinearity property was 107.00. It is regarded as a successful and effective result. BIC and SAC averages were 103.500 and 0.499, respectively. Compared to a simple histogram, the encryption histogram was more uniform. As a result, it has been demonstrated that the suggested S-box is robust and resistant to cryptographic assaults.
  • Smart internet of things kindergarten garbage observation system using Arduino uno
    Ali Abdulameer Aldujaili, Mohammed Dauwed, Ahmed Meri, Safa Sami Abduljabbar
    International Journal of Electrical and Computer Engineering, 2022
    <span lang="EN-US">Increase the in population and kindergarten number, especially in urban areas made it difficult to properly manage waste. Thus, this paper proposed a system dedicated to kindergartens to manage to dispose of waste, the system can be called smart garbage based on internet of things (SGI). To ensure a healthy environment and an intelligent waste in the kindergarten management system in an integrated manner and supported by the internet of things (IoT), we presented it in detail identification, the SGI system includes details like a display system, an automatic lid system, and a communication system. This system supplied capabilities to monitor the status of waste continuously and on IoT website can show the percentage of waste placed inside the bin. And by using a Wi-Fi communication system, between the system unit and the monitoring body, to collect waste when the trash is full. The smart system proposed in this paper is the most efficient system of traditional waste management systems because it reduces the use of manpower and significantly limits the spread of waste and fully controls it. Additionally, it can be linked via the IoT to the mobile, thus forming an integrated monitoring system.</span>
  • Razy: A String Matching Algorithm for Automatic Analysis of Pathological Reports
    Safa S. Abdul-Jabbar, Alaa K. Farhan, Abdelaziz A. Abdelhamid, Mohamed E. Ghoneim
    Axioms, 2022
  • Art Image Compression Based on Lossless LZW Hashing Ciphering Algorithm
    Sajaa G. Mohammed, Safa S. Abdul-Jabbar, Faisel G. Mohammed
    Journal of Physics Conference Series, 2021

RECENT SCHOLAR PUBLICATIONS

  • A new secure approach for AI-based compression across various domains
    SS Abdul-Jabbar, SN Kadhim, AH Alharbi, MM Eid, ESM El-Kenawy
    Scientific Reports , 2026
    2026
  • Diagnosis of Skin Melanoma Utilizing an Advanced Combination of Improved Meta-GVF Algorithms
    ZS Naama, SS Abdul-Jabbar, A Almahdawi, ESM El-kenawy
    Journal of Advanced Research Design 140 (1), 83-95 , 2026
    2026
  • Developing A Hybrid Machine Learning Algorithm for Anemia Diagnosis
    SS Abdul-Jabbar, A Farhan, AH Kandhro
    Journal of Artificial Intelligence and Metaheuristics 9 (1), 20-33 , 2025
    2025
    Citations: 1
  • Smart city: State of the art and challenges
    AH Alrubaie, DD Salman, SD Athab, SS Abdul-Jabbar
    AIP Conference Proceedings 3079 (1), 040001 , 2024
    2024
  • Exploring the Literature of Data Analytics Services on Cloud Computing: A Comprehensive Summary
    SS Abdul-Jabbar
    Iraqi Journal of Science, 1089-1101 , 2024
    2024
  • Smart City: State of The Art and Challenges
    SS Abdul-Jabbar
    AIP Conf. Proc 3079, 040001 , 2024
    2024
  • A Review of Machine Learning in Predicting Heart Disease Risk Based on Medical Data
    SS Abdul-Jabbar
    Metaheuristic Optimization Review 2 (2), 26-36 , 2024
    2024
    Citations: 2
  • Comparative Study of Anemia Classification Algorithms for International and Newly CBC Datasets.
    SS Abdul-Jabbar, AK Farhan, AS Luchinin
    Int. J. Online Biomed. Eng. 19 (6), 141-157 , 2023
    2023
    Citations: 10
  • Data analytics and blockchain: A review
    SS Abdul-Jabbar, RF Ghani
    Iraqi Journal Of Computers, Communications, Control And Systems Engineering … , 2023
    2023
    Citations: 6
  • Secure QR-Code Generation in Healthcare
    S Abdul-Jabbar, A Farhan
    Karbala International Journal of Modern Science 9 (2) , 2023
    2023
    Citations: 2
  • Fast 128-bit Multi-Pass Stream Ciphering Method
    SS Abdul-Jabbar, AE Abed, SG Mohammed, FG Mohammed
    Iraqi Journal of Science 64 (5), 2589-2600 , 2023
    2023
    Citations: 7
  • Mining categorical Covid-19 data using chi-square and logistic regression algorithms
    DJAH Asmaa Hasan Alrubaie, Alia Karim Abdulhassan, Safa Sami Abdul-Jabbar ...
    AIP Conference Proceedings 2591 (030034) , 2023
    2023
    Citations: 2
  • Razy: A String Matching Algorithm for Automatic Analysis of Pathological Reports
    SS Abdul-Jabbar, AK Farhan, AA Abdelhamid, ME Ghoneim
    Axioms 11 (10), 547 , 2022
    2022
    Citations: 15
  • Razy: A String Matching Algorithm for Automatic Analysis of Pathological Reports. Axioms 2022, 11, 547
    SS Abdul-Jabbar, AK Farhan, AA Abdelhamid, ME Ghoneim
    s Note: MDPI stays neutral with regard to jurisdictional claims in published … , 2022
    2022
  • Using Three-Dimensional Logistic Equations and Glowworm Swarm Optimization Algorithm to Generate S-Box
    S Jabber, A Al-Tameemi, S Abdul-Jabbar
    International Journal of Intelligent Engineering and Systems 15 (6), 406-417 , 2022
    2022
    Citations: 5
  • Data Analytics and Techniques
    S Abdul-Jabbar, A Farhan
    ARO-The Scientific Journal of Koya University, 45-55 , 2022
    2022
    Citations: 43
  • Smart internet of things kindergarten garbage observation system using Arduino uno
    AA Aldujaili, M Dauwed, A Meri, SS Abduljabbar
    International Journal of Electrical and Computer Engineering (IJECE) 12 (6 … , 2022
    2022
    Citations: 3
  • Art image compression based on lossless LZW hashing ciphering algorithm
    SG Mohammed, SS Abdul-Jabbar, FG Mohammed
    Journal of Physics: Conference Series 2114 (1), 012080 , 2021
    2021
    Citations: 14
  • Access control security review: Concepts and models
    HS Saeed, SS Abdul-Jabbar, SG Mohammed, EA Abed, HS Ibrahem
    Solid State Technology 63 (6), 6609-6629 , 2020
    2020
    Citations: 1
  • A comparative study for string metrics and the feasibility of joining them as combined text similarity measures
    SS Abdul-Jabbar, LE George
    ARO-The Scientific Journal of Koya University 5 (2), 6-18 , 2017
    2017
    Citations: 9

MOST CITED SCHOLAR PUBLICATIONS

  • Data Analytics and Techniques
    S Abdul-Jabbar, A Farhan
    ARO-The Scientific Journal of Koya University, 45-55 , 2022
    2022
    Citations: 43
  • Razy: A String Matching Algorithm for Automatic Analysis of Pathological Reports
    SS Abdul-Jabbar, AK Farhan, AA Abdelhamid, ME Ghoneim
    Axioms 11 (10), 547 , 2022
    2022
    Citations: 15
  • Art image compression based on lossless LZW hashing ciphering algorithm
    SG Mohammed, SS Abdul-Jabbar, FG Mohammed
    Journal of Physics: Conference Series 2114 (1), 012080 , 2021
    2021
    Citations: 14
  • Comparative Study of Anemia Classification Algorithms for International and Newly CBC Datasets.
    SS Abdul-Jabbar, AK Farhan, AS Luchinin
    Int. J. Online Biomed. Eng. 19 (6), 141-157 , 2023
    2023
    Citations: 10
  • A comparative study for string metrics and the feasibility of joining them as combined text similarity measures
    SS Abdul-Jabbar, LE George
    ARO-The Scientific Journal of Koya University 5 (2), 6-18 , 2017
    2017
    Citations: 9
  • Fast 128-bit Multi-Pass Stream Ciphering Method
    SS Abdul-Jabbar, AE Abed, SG Mohammed, FG Mohammed
    Iraqi Journal of Science 64 (5), 2589-2600 , 2023
    2023
    Citations: 7
  • Data analytics and blockchain: A review
    SS Abdul-Jabbar, RF Ghani
    Iraqi Journal Of Computers, Communications, Control And Systems Engineering … , 2023
    2023
    Citations: 6
  • Using Three-Dimensional Logistic Equations and Glowworm Swarm Optimization Algorithm to Generate S-Box
    S Jabber, A Al-Tameemi, S Abdul-Jabbar
    International Journal of Intelligent Engineering and Systems 15 (6), 406-417 , 2022
    2022
    Citations: 5
  • Fast text analysis using symbol enumeration and Hashing methodology
    SS Abdul-Jabbar, LE George
    Iraqi Journal of Science, 345-354 , 2017
    2017
    Citations: 4
  • Smart internet of things kindergarten garbage observation system using Arduino uno
    AA Aldujaili, M Dauwed, A Meri, SS Abduljabbar
    International Journal of Electrical and Computer Engineering (IJECE) 12 (6 … , 2022
    2022
    Citations: 3
  • Computer aided photographic memory enhancement and speed reading (case study)
    AA Hashim, SS Abdulgabar
    Baghdad Science Journal 11 (2), 256-264 , 2014
    2014
    Citations: 3
  • A Review of Machine Learning in Predicting Heart Disease Risk Based on Medical Data
    SS Abdul-Jabbar
    Metaheuristic Optimization Review 2 (2), 26-36 , 2024
    2024
    Citations: 2
  • Secure QR-Code Generation in Healthcare
    S Abdul-Jabbar, A Farhan
    Karbala International Journal of Modern Science 9 (2) , 2023
    2023
    Citations: 2
  • Mining categorical Covid-19 data using chi-square and logistic regression algorithms
    DJAH Asmaa Hasan Alrubaie, Alia Karim Abdulhassan, Safa Sami Abdul-Jabbar ...
    AIP Conference Proceedings 2591 (030034) , 2023
    2023
    Citations: 2
  • Research Article Building Words Dictionary List Using Symbol Enumeration and Hashing Methodology
    SS Abdul-Jabbar, LE George
    Research Journal of Applied Sciences, Engineering and Technology 13 (12 … , 2016
    2016
    Citations: 2
  • Developing A Hybrid Machine Learning Algorithm for Anemia Diagnosis
    SS Abdul-Jabbar, A Farhan, AH Kandhro
    Journal of Artificial Intelligence and Metaheuristics 9 (1), 20-33 , 2025
    2025
    Citations: 1
  • Access control security review: Concepts and models
    HS Saeed, SS Abdul-Jabbar, SG Mohammed, EA Abed, HS Ibrahem
    Solid State Technology 63 (6), 6609-6629 , 2020
    2020
    Citations: 1
  • A new secure approach for AI-based compression across various domains
    SS Abdul-Jabbar, SN Kadhim, AH Alharbi, MM Eid, ESM El-Kenawy
    Scientific Reports , 2026
    2026
  • Diagnosis of Skin Melanoma Utilizing an Advanced Combination of Improved Meta-GVF Algorithms
    ZS Naama, SS Abdul-Jabbar, A Almahdawi, ESM El-kenawy
    Journal of Advanced Research Design 140 (1), 83-95 , 2026
    2026
  • Smart city: State of the art and challenges
    AH Alrubaie, DD Salman, SD Athab, SS Abdul-Jabbar
    AIP Conference Proceedings 3079 (1), 040001 , 2024
    2024