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

Dr .Özlem Sabuncu ,Near East University,Turkey

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🎓 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:

Publications:

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

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

Dr .Atif Rizwan ,Kyunghee University,South Korea

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:

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.

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

Dr .Yuting Huang ,Hunan University,China

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:

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.