Dr. Abdulrahman Baqais, PhD

Dr. Abdulrahman Baqais, PhD

الرياض السعودية
١٤ ألف متابع أكثر من 500 زميل

انضم للمتابعة
Bank
Staffordshire University

نبذة عني

As the Senior Advisor of Artificial Intelligence at a prominent bank, my focus lies in…

مقالات Dr. Abdulrahman

  • How to prepare your organization to work successfully with AI
    ٤ ديسمبر ٢٠٢٤

    How to prepare your organization to work successfully with AI

    كيف تعد فريقك للعمل بشكل ناجح مع تطبيقات الذكاء الاصطناعي في منظمتك هذه مقالة من هارفارد تطرح عدة حلول لزيادة…

    ٢ تعليق
  • قراءة استراتيجية لشطيرة جارتنر للذكاء الاصطناعي
    ١٣ نوفمبر ٢٠٢٤

    قراءة استراتيجية لشطيرة جارتنر للذكاء الاصطناعي

    إذا تعمل كمدير تنفيذي لتقنية المعلومات أو البيانات أو الذكاء الاصطناعي فهذا المنشور اليك قراءة استراتيجية تحليلية…

    ٥ تعليق
  • حياة عالم البيانات
    ٣٠ أغسطس ٢٠٢٤

    حياة عالم البيانات

    نحب علم البيانات حب قيس ليلى وأشد. حياة عالم البيانات في الشركات قد لاتبدو بالطريقة التي تظنها.

    ٥ تعليق
  • خطتك التكتيكية لقيادة قسم الذكاء الاصطناعي لعام 2023
    ٣٠ يناير ٢٠٢٣

    خطتك التكتيكية لقيادة قسم الذكاء الاصطناعي لعام 2023

    تقنيات البيانات والذكاء الاصطناعي تتطور بسرعة مذهلة وعلى قادة علم البيانات مراجعة خططهم واستراتيجياتهم لعلم البيانات…

    ٤ تعليق
  • سلسلة قيادة فرق التحليل ( الحلقة الثانية )
    ١٠ يناير ٢٠٢٣

    سلسلة قيادة فرق التحليل ( الحلقة الثانية )

    أسامة يريد أن يبني استراتيجية واضحة للتحليل تفيد المنظمة التي يعمل بها ولأنه يؤمن بأن البيانات هي وقود التحليل فلذلك…

    ٤ تعليق
  • Is Data Science Dead?
    ١٧ يوليو ٢٠٢٢

    Is Data Science Dead?

    هل علم البيانات فقاعة وانتهت؟ قبل عشرين سنة عندما كنت طالبا؛ كان يتردد دائما على مسامعي " البرمجة انتهت٫ الشبكات مالها…

    ١٠ تعليق
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الإسهامات

النشاط

انضم الآن لعرض كل النشاط

الخبرة

  • Bank

    Riyadh, Saudi Arabia

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    Slack

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    Riyadh, Saudi Arabia

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    Al-Riyadh Governorate, Saudi Arabia

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    Jeddah Governorate, Saudi Arabia

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    Riyadh

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    Al-Riyadh Governorate, Saudi Arabia

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    Riyadh

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    Saudi Arabia

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    Dhaharan

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    Dhaharan

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    Jeddah, Makkah Region, Saudi Arabia

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    Jeddah, Makkah Region, Saudi Arabia

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    Jeddah, Makkah Region, Saudi Arabia

التعليم

  • Staffordshire University

    -

    I got a Graduate Certificate, higher Diploma and Master of Science in IT Management at Staffordshire University. My dissertation earned a distinction grade.

  • -

    This nano degree covers theoretical and practical aspects of deep reinforcement learning. There are three projects that must be submitted to complete the degree.

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    I was on Dean's list for six consecutive times. I got A+ in my Final Year Project and I was nominated for the presidential Award for the best student of the university. My CGPA is 3.9

التراخيص والشهادات

المنشورات

  • Analysis of the Correlation between Class Stability and Maintainability

    IEEE

    An Empirical study was conducted on two large object oriented open source software to investigate the correlation between stability and maintainability. A list of observations is given that shows how the values of the correlations can be influenced.

    مؤلفون آخرون
    عرض المنشور

  • A New Correlation for Seawater and Pure Water Density at Different Temperatures, Salinities, and Pressures

  • Padding Free Bank Conflict Resolution for CUDA-Based Matrix Transpose Algorithm

    IEEE SNPD

    In this paper, we developed two algorithms based on CUDA framework

  • Padding Free Bank Conflict Resolution for CUDA-Based Matrix Transpose Algorithm

    Atlantis Press

    The advances of Graphic Processing Units (GPU) technology and the introduction of CUDA programming model facilitates developing new solutions for sparse and dense linear algebra solvers. Matrix Transpose is an important linear algebra procedure that has deep impact in various computational science and engineering applications

    مؤلفون آخرون
    • Ayaz ul Hassan
    • Mayez Almohammad
    • Allam Fatayer
    • Anas Almousa
    • Mohammad Assayouni
    عرض المنشور

  • Motivators of adopting Social Computing in Global Software Development: An Empirical Study

    This is an extended work of a published conference and have been submitted to many journals for review.

    مؤلفون آخرون

  • Hybrid Intelligent Model for Software Maintenance Prediction

    International Association of Engineering

    I have applied a Hybrid intelligent Model consisting of Neural Networks and Genetic Algorithm to predict the maintainability index of different versions of an open-source software project.

    مؤلفون آخرون

  • Motivators of Adopting Social Computing in Global Software Development: Initial Results

    International Association of Software Engineering

    This paper won a merit award in the conference was held in UK. I have a conducted systematic literature review on the motivators that urge Global Software Development Organization to adopt Social Computing.

    مؤلفون آخرون

  • Software Cloning ( A Quest for A Solution) AI Perspective

    This paper won a third prize in the third Scientific Conference of Higher Education Students in KSA

  • Software Cloning Detection Techniques:Comparison Criteria

    I compared between various techniques of software cloning found in the literature. The comparison is based on a novel framework that aid practitioners and researchers in understanding the strengths that Artificial Intelligence(AI) techniques can import to detecting software clones. The paper was published in a big US international conference.

  • Function Approximation of Seawater Density Using Genetic Algorithms

    I have designed and developed a genetic algorithm to generate an equation for seawater density. The equation was close to the accuracy found in the literature but with very few coefficients. The result of this paper was extended in a journal.

  • A closer look on the correlation between stability and maintainability class metrics.

    -

    مؤلفون آخرون

  • An Empirical Study of Evaluating the Correlation between Class Stability and Bad Smells

    -

    Several quality attributes are used in designing and developing object-oriented software. Some of these quality attributes have high influence on developing desirable high-quality software (i.e. stable software) by reducing the maintenance cost and efforts. One of these quality attributes is stability. Software quality attributes can be affected by many factors. One of these factors is bad smells. The main objective of this empirical study is to investigate the correlations between bad smells…

    Several quality attributes are used in designing and developing object-oriented software. Some of these quality attributes have high influence on developing desirable high-quality software (i.e. stable software) by reducing the maintenance cost and efforts. One of these quality attributes is stability. Software quality attributes can be affected by many factors. One of these factors is bad smells. The main objective of this empirical study is to investigate the correlations between bad smells and the stability on a class level. Proper software metrics such as Class Stability Metric (CSM) will be used to measure class stability. In addition, different bad smells such as Fowler bad smells are collected and correlated with CSM. The results show that there is a negative correlation between bad smells and class stability.

    مؤلفون آخرون

  • Applying Binary & Real Genetic Algorithms for Seawater Desalination

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  • Automatic Refactoring : A Systematic Literature Review

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    مؤلفون آخرون

  • Bank Conflict-Free Access for CUDA-Based Matrix Transpose Algorithm on GPUs

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  • FRAMEWORK FOR DISTRIBUTED REAL-TIME EDUCATIONAL SYSTEMS

    -

    مؤلفون آخرون
    • Basem Almadani

  • Hybridization of Simulated Annealing and Clustering: A Case Study of Sequence Diagram Refactoring

    -

    Data mining and search-based algorithms have been applied to various problems due to their power and performance. There have been several proposals on how these two algorithms can work together for better results and improved performance. In this paper, we show how a hybridized algorithm of Kmean and Simulated Annealing (SA) algorithms can aid each other in solving model refactoring problems. We run the SA algorithm before running the hybridized implementation on sequence diagram refactoring…

    Data mining and search-based algorithms have been applied to various problems due to their power and performance. There have been several proposals on how these two algorithms can work together for better results and improved performance. In this paper, we show how a hybridized algorithm of Kmean and Simulated Annealing (SA) algorithms can aid each other in solving model refactoring problems. We run the SA algorithm before running the hybridized implementation on sequence diagram refactoring. Results show that the hybridized algorithm obtains good results using selected quality metrics. Detailed insights on the experiments on sequence diagram refactoring reveal that the limitations of SA can be addressed by hybridizing the Kmean algorithm to the SA algorithm

    مؤلفون آخرون

  • On single and multi-objective use case refactoring using search-based algorithms

    -

    A use case diagram is used to depict the scope, the users and the main functionality of the system. Due to its complexity, it might introduce a poorly structured design or some potentially bad design known as anti-patterns. Manually detecting and restructuring the use case diagram for large and complex systems is a costly and time-consuming process. To automate the use case diagram refactoring process, we perceive the problem as a combinatorial optimization problem. Thus, we opt to use…

    A use case diagram is used to depict the scope, the users and the main functionality of the system. Due to its complexity, it might introduce a poorly structured design or some potentially bad design known as anti-patterns. Manually detecting and restructuring the use case diagram for large and complex systems is a costly and time-consuming process. To automate the use case diagram refactoring process, we perceive the problem as a combinatorial optimization problem. Thus, we opt to use search-based techniques to automate the process of detecting and correcting use case anti-patterns. We implement three search-based algorithms namely: Hill Climbing, Late Hill Climbing and Simulated Annealing that are guided by two use case metrics to find a specific anti-pattern and refactor it automatically. In addition, we run these three algorithms on the two metrics simultaneously to demonstrate their applicability in a multi-objective environment. The algorithms show promising results: SA was stable across all experiments while LAHC performed the best in some runs and obtained reasonable values considering its simplicity.

    مؤلفون آخرون

  • Using Social Network to Enhance Collaboration Among Research Students in Higher Education

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    مؤلفون آخرون
    • Vijay Reddy

  • Using Transformation Language to reconstruct Use Cases using Anti-Pattern

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    مؤلفون آخرون
    • Abdullah Owayedh

الدورات التعليمية

  • Advanced Artificial Intelligence

    ICS581

  • Advanced Computer Algorithms

    ICS553

  • Advanced Neural Network

    CSE650

  • Advanced Operating System

    ICS533

  • Arabic Computing

    ICS545

  • Computer Architecture

    COE501

  • Electronic Commerce 1

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  • Enterprise Database Systems

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  • Hetrogeneous Computing

    COE504

  • Information Technology Project Management

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  • Integrated System Management

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  • Intelligenet Computing

    CSE596

  • Introduction to Python for Data Science

    Microsoft :DAT208x

  • Master Dissertation

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  • Network System & Technology

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  • PhD Dissertation

    CSE712

  • PhD Pre-Dissertation

    CSE711

  • Principles of Software Engineering

    ICS511

  • Research Methods and Proposal

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  • Seminar

    CSE699

  • Software Engineering Support Environment

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  • Software Project Management

    ICS515

  • Software Quality Engineering

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  • Strategic Planning and System Developement

    -

المشروعات

  • Social Computing for Global Software System

    ⁩ - الحالي

    Conducting a systematic literature review, collecting data via survey from potential software developers and managers, performing statistics on the data and writing a conference and a journal paper.

  • ML for Predicting Pipeline Wall Thickness

    -

  • Anomaly Detection in Time Series Data (Oil and Gad)

    -

    Data Collection, cleaning and wrangling .
    Building ML models ( unsupervised and supervised)
    build LSTM model
    Generate Visualization reports of the anomaly locations.

  • Parameter Optimization of Seawater Desalination System

    -

    I was responsible for: Data collection, Data Analysis, algorithm development, Result Interpretation and publishing the results in a conference paper.

  • edama project

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    Translating the documents into Arabic language, translating the commands in the online portal into Arabic.

  • Software Stability Project

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    Analyzing three different data sets, doing some correlations on these data sets and publishing the results in a conference paper.

  • Arabic handwritten Detection

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    distributing survey, reviewing the results returned by a detection algorithm, writing reports

التكريمات والمكافآت

  • Best Paper Award

    Modelsward Conference 2016

    I've awarded the best paper award in modelsward 2016 conference for my paper titled " Automatic Refactoring of Single and Multiple View UML diagram using Artificial Intelligence Algorithms"

  • Listed in Marquis Who's Who 2016

    Marquis Who's Who 2016

    My profile is listed in Marquis Who's Who 2016 Edition for people who have accomplishments in Science and Engineering.

  • Merit Paper Award

    Internatioanl Association of Engineering , UK

    I've obtained A merit Award for my paper "Motivators of Applying Social Computing to Global Software Development: Initial Results"

  • 8th position in Enterpreneruship

    Ministry of Higher Education

  • Third Best Paper in Scientific Research (Engineering and Basic Science Branch)

    Ministry Of Higher Educaiton

نتائج الاختبارات

  • IELTS

    النتيجة: 7.5

اللغات

  • English

    إجادة تامة على المستوى المهني

  • Arabic

    إجادة اللغة الأم أو إجادة لغتين إجادة تامة

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