Amal Al-Rasheed| Computer | Best Researcher Award

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Dr . Amal Al-Rasheed| Computer | Best Researcher Award

Dr. Amal Al-Rasheed,Princess Nourah bint Abdulrahman University, Saudi Arabia

Dr. Amal Al-Rasheed is a distinguished academic at Princess Nourah bint Abdulrahman University in Saudi Arabia. With a profound expertise in [specific field or research area, if known], Dr. Al-Rasheed has made significant contributions to [mention any notable research, publications, or achievements]. Her commitment to advancing knowledge and fostering academic excellence is evident through her extensive research and teaching endeavors. Dr. Al-Rasheed is dedicated to promoting [relevant academic or professional focus], and her work continues to inspire and impact the academic community.

Summary:

Dr. Amal Abdulaziz Al-Rasheed is a highly accomplished academic with a strong track record in teaching, research, and leadership. Her extensive experience in academia, coupled with her recognized research excellence and significant contributions to the academic community, make her a strong candidate for the Best Researcher Award. Her professional engagements and service activities further illustrate her dedication to her field and institution.

Professional Profiles:

🎓 Education :

Dr. Amal Abdulaziz Al-Rasheed earned her PhD in Information Systems from King Saud University in 2017. This academic achievement marked the culmination of her deep engagement with the field, laying a strong foundation for her subsequent career in academia and research.

🏢 Experience:

Dr. Al-Rasheed has amassed extensive experience at Princess Nourah bint Abdulrahman University, where she currently serves as an Associate Professor. Her academic career began as a Teaching Assistant in 1998, followed by roles as a Lecturer from 2007 to 2017, and then as an Assistant Professor from 2017 to 2022. Beyond her academic roles, Dr. Al-Rasheed has also held significant leadership positions, including Director of the Master Program in Data Analytics (2018-2019) and Vice Dean of Postgraduate Studies and Scientific Research (2017-2018). Her non-academic contributions include technical support roles earlier in her career, adding a practical dimension to her professional profile.

🛠️Skills:

Dr. Al-Rasheed possesses a broad skill set encompassing both academic and administrative competencies. Her expertise in information systems is complemented by her leadership in higher education, where she has led committees and advised deans on strategic initiatives. Her skills are further enriched by her involvement in quality assurance, accreditation, human resources, and curriculum development, particularly in the fields of cybersecurity and data analytics.

🔬Awards:

Dr. Al-Rasheed’s contributions to academia have been recognized through several honors, most notably the Princess Nourah Bint Abdul Rahman University Award for Research Excellence in 2017. This award underscores her commitment to advancing research in her field and her role in shaping the academic landscape at her institution.

Research Focus:

Dr. Al-Rasheed’s research interests lie at the intersection of information systems, machine learning, and healthcare technology. Her work is characterized by a focus on practical applications, such as enhancing software defect prediction, optimizing data services, and developing models for emotion recognition. Her recent publications reflect a strong emphasis on cutting-edge techniques like deep learning, transfer learning, and game theory, applied to diverse challenges including cancer detection, fetal organ classification, and IoT-edge task scheduling.

Conclusion:

Dr. Al-Rasheed is a suitable candidate for the Best Researcher Award, given her comprehensive academic background, leadership roles, and research achievements. While her international exposure and interdisciplinary work could be areas to develop further, her existing contributions are substantial and impactful. Her candidacy stands out due to her dedication to both research and academic service, positioning her as a deserving nominee for this prestigious recognition.

Publications :

  • Hybridization of metaheuristic algorithm for dynamic cluster-based routing protocol in wireless sensor Networks
    • Authors: S Al-Otaibi, A Al-Rasheed, RF Mansour, E Yang, GP Joshi, W Cho
    • Source: IEEE Access
    • Year: 2021
    • Citation Count: 79

 

  • Hybrid classifier-based federated learning in health service providers for cardiovascular disease prediction
    • Authors: MM Yaqoob, M Nazir, MA Khan, S Qureshi, A Al-Rasheed
    • Source: Applied Sciences
    • Year: 2023
    • Citation Count: 36

 

  • Smart traffic monitoring through pyramid pooling vehicle detection and filter-based tracking on aerial images
    • Authors: AA Rafique, A Al-Rasheed, A Ksibi, M Ayadi, A Jalal, K Alnowaiser, et al.
    • Source: IEEE Access
    • Year: 2023
    • Citation Count: 30

 

  • An Optimal Big Data Analytics with Concept Drift Detection on High-Dimensional Streaming Data
    • Authors: RF Mansour, S Al-Otaibi, A Al-Rasheed, H Aljuaid, IV Pustokhina, et al.
    • Source: Computers, Materials & Continua
    • Year: 2021
    • Citation Count: 27

 

  • Predicting Saudi stock market index by incorporating GDELT using multivariate time series modelling
    • Authors: R Alamro, A McCarren, A Al-Rasheed
    • Source: Advances in Data Science, Cyber Security and IT Applications: First
    • Year: 2019
    • Citation Count: 24

 

  • Reliable resource allocation and management for IoT transportation using fog computing
    • Authors: HU Atiq, Z Ahmad, SK Uz Zaman, MA Khan, AA Shaikh, A Al-Rasheed
    • Source: Electronics
    • Year: 2023
    • Citation Count: 22

 

  • The Challenges Faced by Undergraduate Women during the COVID‐19 Pandemic in Saudi Arabia
    • Authors: A Al-Rasheed
    • Source: Education Research International
    • Year: 2021
    • Citation Count: 22

 

  • Effective reuse and sharing of best teaching practices
    • Authors: A Al‐Rasheed, J Berri
    • Source: Computer Applications in Engineering Education
    • Year: 2017
    • Citation Count: 19

 

  • SEMRAchain: A secure electronic medical record based on blockchain technology
    • Authors: H Mhamdi, M Ayadi, A Ksibi, A Al-Rasheed, BO Soufiene, S Hedi
    • Source: Electronics
    • Year: 2022
    • Citation Count: 17

 

  • Identification of important features and data mining classification techniques in predicting employee absenteeism at work
    • Authors: A Al-Rasheed
    • Source: International Journal of Electrical & Computer Engineering (2088-8708)
    • Year: 2021
    • Citation Count: 17

 

  • Knowledge management of best practices in a collaborative environment
    • Authors: A Al-Rasheed, J Berri
    • Source: International Journal of Advanced Computer Science and Applications
    • Year: 2016
    • Citation Count: 16

 

Özlem Sabuncu |Blockchain-Driven Award |Best Researcher Award

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Dr .Özlem Sabuncu |Blockchain-Driven Award |Best Researcher Award

Dr .Özlem Sabuncu ,Near East University,Turkey

Dr. Özlem Sabuncu is a respected academic affiliated with Near East University in Turkey. Specializing in [mention the field if available], Dr. Sabuncu has made significant contributions to [mention any notable achievements or areas of research]. With a passion for [mention any notable interests or focuses], Dr. Sabuncu continues to inspire both students and peers in the academic community.

 

Professional Profiles:

Orcid

Google scholar

🎓 Education and Academic Achievements:

Dr. Özlem Sabuncu, embarked on my academic journey with a Bachelor’s in Biomedical Engineering, later pursuing a Master’s in Electrical and Electronics Engineering. Currently, I’m finalizing my PhD in the same field at Near East University. My research has yielded numerous publications, including 8 SCI-indexed journal articles and 4 conference articles. These efforts earned me prestigious awards such as the International Best Researcher Award and the NEU 2022 Young Researcher Award.

 

🔬 Areas of Specialization :

  • My expertise lies in Communication Systems and Optimization Theory, with a focus on enhancing network optimization.

🏆 Recognition and Awards:

I’ve been honored with the Best Paper Award at the IEEE International Conference on AI in Everything (AIE) – 2022, among other accolades.

💡 Contribution to Research & Development:

My work spans telecommunications, medical imaging, and blockchain technology. I’ve developed innovative solutions such as a probability distribution model for wireless body sensors and a probabilistic model for noise analysis in medical images. In telecommunications, I’ve optimized blockchain networks for various industries and proposed models for 6G communication.

🤝 Collaborations and Leadership:

I’ve organized 5 research conferences/workshops and engaged in 15 collaborative activities, showcasing my commitment to interdisciplinary research. As Deputy Chairman of the Department of Electrical and Electronics Engineering, I contribute to curricular development and academic leadership.,Developed more than 5 web applications using HTML, CSS, Bootstrap, jQuery, PhP, Python, SQL.

Publications:

General probability distribution model for wireless body sensors in the medical monitoring system

B Bilgehan, L Kayed, Ö Sabuncu
Biomedical Signal Processing and Control 77, 103777

Synchronization and Analysis of Chaotic Circuit with Application to Communication in the internet of things (IoT) Services

B Bilgehan, Ö Sabuncu
2022 International Conference on Artificial Intelligence in Everything (AIE …

Effective deep learning classification for kidney stone using axial computed tomography (CT) images

Ö Sabuncu, B Bilgehan, E Kneebone, O Mirzaei
Biomedical Engineering/Biomedizinische Technik 68 (5), 481-491

A Comparative Analysis of the Different CNN Models Using Fuzzy PROMETHEE for Classification of Kidney Stone

F Sadıkoğlu, Ö Sabuncu, B Bilgehan
International Conference on Theory and Applications of Fuzzy Systems and …

Component-Related Phase Noise Evaluation Method for the LC Oscillators

B Bilgehan, Ö Sabuncu
Circuits, Systems, and Signal Processing 43 (1), 34-53

Atifc Rizwan | Machine Learning Award |Best Researcher Award

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Dr .Atifc Rizwan |Machine Learning Award | Best Researcher Award

Dr .Atif Rizwan ,Kyunghee University,South Korea

Dr. Atif Rizwan is a distinguished academician and researcher currently affiliated with Kyunghee University in South Korea. With expertise in [mention specific field or area of research], Dr. Rizwan has contributed significantly to the academic community through his innovative research and publications. His dedication to excellence in teaching and research has earned him recognition and respect both nationally and internationally. Dr. Rizwan’s commitment to advancing knowledge and fostering collaboration makes him a valuable asset to the academic community at Kyunghee University and beyond.

Professional Profiles:

Scopus

Education:

  • PhD in Computer Engineering
    Jeju National University, Jeju-si, Republic of Korea
    CGPA: 4.39/4.5
    Thesis Title: Joint NAS and Topology Optimization for Decentralized Federated Learning in AIoT Digital Twin Networks
  • Master of Science in Computer Science (MSCS)
    COMSATS University Islamabad, Attock, Punjab, Pakistan
    CGPA: 3.63/4.0
    Thesis Title: WR-SVM model based on the margin radius approach for solving the minimum enclosing ball problem in support vector machine classification
  • Master of Computer Science (MCS)
    COMSATS University Islamabad, Attock, Punjab, Pakistan
    CGPA: 3.83/4.0
  • Bachelor of Science (BSC)
    University of the Punjab, Lahore, Punjab, Pakistan
    Marks: 519/800

 

Professional Experience :

  • Visiting Lecturer
    COMSATS University Islamabad, Attock Campus
    Spring 2018 – Spring 2020
    Responsibilities: Leading programming labs in Java, Python, and C#, guiding students in industry projects.

Technical Skills:

  • Programming: Python, Java, C++, C#
  • Frameworks & CMS: Django, Flask, Codeignitor, MVC
  • Web Development: HTML, CSS, Bootstrap, JavaScript, jQuery, PhP
  • Databases: SQL, MySQL, SQLite
  • Software: Spyder, Jupyter, MATLAB, Sublime Text, PyCharm, Visual Studio, Anaconda, Dreamweaver, Eclipse, NetBeans
  • Protocols: IEEE 802.11, HTTP, CoAP, MQTT, TCP/IP
  • Operating Systems: Ubuntu, Raspbian, Windows

Research Object:

  • Neural Architecture Search for Resource Constraint Devices in DFL
  • Optimization of Topology in DFL
  • Digital Twin for Decentralized Federated Learning
  • Personalized Hierarchical Heterogeneous FL
  • Digital Twin for Centralized Federated Learning
  • Sampling-Based Model Consolidation for Attack Prevention in Federated Learning
  • Indoor Environment Optimization Techniques using Deep Learning in Edge Computing Environments
  • Optimal location for Water Drilling
  • Self Optimal Environment Control with minimum energy consumption for Greenhouse environment
  • Realtime Situation Reporting using YOLO

Development Projects:

  • Developed more than ten android applications using Java, XML, SQL, Firebase.
  • Developed more than 5 web applications using HTML, CSS, Bootstrap, jQuery, PhP, Python, SQL.

Publications:

  1. Khan, A. N., Rizwan, A., Ahmad, R., Jin, W., Khan, Q. W., Lim, S., & Kim, D. H. (2023). Hetero-FedIoT: A Rule-Based Interworking Architecture for Heterogeneous Federated IoT Networks. IEEE Internet of Things Journal.
  2. Rizwan, A., Ahmad, R., Khan, A. N., Xu, R., & Kim, D. H. (2023). Intelligent digital twin for federated learning in AIoT networks. Internet of Things, 100698.
  3. Khan, A. N., Rizwan, A., Ahmad, R., Khan, Q. W., Lim, S., & Kim, D. H. (2023). A precision-centric approach to overcoming data imbalance and non-IIDness in federated learning. Internet of Things, 100890.
  4. Khan, Q. W., Kim, B. W., Ahmed, R., Rizwan, A., Khan, A. N., Kim, K., & Kim, D. H. (2023). Predictive Modeling of Water Table Depth, Drilling Duration, and Soil Layer Classification using Adaptive Ensemble Learning for Cost-Effective Percussion Water Borehole Drilling. IEEE Access.
  5. Shah, S. M. A. H., Shah, S. F. H., Ullah, A., Rizwan, A., Atteia, G., & Alabdulhafith, M. (2023). Arabic Sentiment Analysis and Sarcasm Detection using Probabilistic Projections Based Variational Switch Transformer. IEEE Access.
  6. Khan, A. N., Rizwan, A., Ahmad, R., & Kim, D. H. (2023). An OCF-IoTivity enabled smart-home optimal indoor environment control system for energy and comfort optimization. Internet of Things, 22, 100712.
  7. Khan, A. N., Kim, B. W., Rizwan, A., Ahmad, R., Iqbal, N., Kim, K., & Kim, D. H. (2023). A New Method for Determination of Optimal Borehole Drilling Location Considering Drilling Cost Minimization and Sustainable Groundwater Management. ACS Omega.
  8. Rizwan, A., Khan, A. N., Ahmad, R., & Kim, D. H. (2022). Optimal environment control mechanism based on OCF connectivity for efficient energy consumption in greenhouse. IEEE Internet of Things Journal, 10(6), 5035-5049.

Yuting Huang |c Award |Best Scholar Award

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Dr .Yuting Huang |Computer technology Award |Best Scholar Award

Dr .Yuting Huang ,Hunan University,China

Dr. Yuting Huang is a prominent academic figure affiliated with Hunan University in China. Specializing in [insert field of expertise if known], Dr. Huang has made significant contributions to [mention notable contributions or achievements if available]. With a solid academic background and a commitment to research excellence, Dr. Huang’s work exemplifies innovation and dedication in advancing knowledge in their respective field. They are widely respected for their expertise and have played a pivotal role in shaping the academic landscape at Hunan University and beyond.

 

Professional Profiles:

Scopus

Education:

  • Ph.D. – Civil and Hydraulic Engineering (Heating, Ventilation and Air Conditioning): Hunan University, 09/2022 – present
  • Master – Power Engineering and Engineering Thermophysics: Guangxi University (Rank: 2/40), 09/2018 – 01/2021
  • Bachelor – Built Environment and Energy Application Engineering: Wuhan Textile University (Rank: 1/80), 09/2014 – 06/2018

Research Interests:

  • Indoor thermal and humid environment
  • Indoor air quality
  • Thermal comfort
  • Comfort ventilation
  • Building load
  • Energy efficiency
  • CFD simulation

Research Object:

  • Dynamic response characteristics of air-carrying energy radiant diffuse terminal and optimization method of thermal and humid environment building

Research Projects:

  • Led various national and provincial-level projects, including support plans of the National Ministry of Science and Technology, national “11th Five-Year Plan” 863 project, national International Cooperation special project, and others.
  • Supervised more than 20 horizontal cooperation projects.

Awards:

  • National encouragement scholarship
  • University scholarship
  • Outstanding graduate
  • Outstanding student cadre Wuhan Textile University Guangxi University;Wuhan Textile University Guangxi University;Wuhan Textile University Guangxi University 2015-2017 2015-2021 06/2018 06/2020 09/2017 09/2020
  • Second prize, Third prize, and Specific prize for simulation technology application- National CAR-ASHRAE (Chinese Association of Refrigeration-American Society of Heating Refrigerating and Airconditioning Engineers) Student Design Competition 04/2018 04/2019
  • Third prize- National Design Application Competition of MDV (Multi-Digital-Variable) Central Air Conditioning 10/2018
  • First prize- “Higher Education Cup” National College Students Advanced Mapping Technology and Product Information Modeling Innovation Competition 07/2016
  • Second prize- “Dragon’s Picture Cup” National BIM (Building Information Modeling) Competition
  • First prize- “Multi-dimensional Cup” China Undergraduate Mathematical Contest in Modeling
  • Second prize- “MathorCup” National University Mathematical Modeling Challenge 12/2017 07/2020 06/2020.

Publications:

  1. Transient simulation and experimental analysis for the response of dual-cycle air-carrying energy radiant diffuse terminal. Journal of Cleaner Production, 2024.
  2. Accurate heating, ventilation and air conditioning system load prediction for residential buildings using improved ant colony optimization and wavelet neural network. Journal of Building Engineering, 2021.
  3. Analyzing life-cycle water footprint for advanced bio-liquid fuel: Crop residues and non-grain biofuels in China. Journal of Cleaner Production, 2021.
  4. Evaluation of slagging characteristics for microalgae and lignocellulose: A comparison of aggregative index and model. Journal of Renewable and Sustainable Energy, 2020.
  5. Air conditioning system of double-deck vehicle and double-deck vehicle. Patent application number: CN202221482199.2, Publication number: CN 217778284 U, 2022.
  6. Application of BIM for Green Projects of Tianmen Agricultural E-Commerce High-Tech Industrial Park. Journal of Information Technology in Civil Engineering and Architecture, 2017.
  7. Analysis of defrosting performance for commercial vehicle windscreen based on CFD. Bus &Coach technology and research, 2023.
  8. New rationale for the effect of multiple buoyancies and their influence on the propagation of respiratory pollutants. Physics of Fluids, 2024.
  9. Investigation of the effects of temperature and relative humidity on the propagation of COVID-19 in different climatic zones. Environmental Science and Pollution Research, 2023.