Mr. Muhammad Riaz | Efficient Networking | Best Researcher Award

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Mr. Muhammad Riaz | Efficient Networking | Best Researcher Award

Mr. Muhammad Riaz, KP TEVTA, Pakistan

Mr. Muhammad Riaz is a dedicated educator and researcher with expertise in electrical engineering, specializing in power systems and sustainable energy solutions. He holds a Master’s in Electrical Engineering from the University of Wah, where his thesis focused on optimizing power flow in renewable energy-integrated systems. With extensive experience in teaching, laboratory management, and fieldwork, Mr. Riaz has a proven track record of mentoring students and advancing practical engineering solutions. Passionate about smart grids, artificial intelligence, and control systems, he is committed to shaping the next generation of engineers while contributing to innovative energy solutions.

Professional Profile

Orcid

Suitability for Best Researcher Award

Mr. Muhammad Riaz’s dedication to advancing sustainable energy solutions and his impactful contributions to electrical engineering make him a strong candidate for the Best Researcher Award. His research on optimal power flow and renewable energy integration addresses critical challenges in modern power systems. His academic achievements, teaching excellence, and commitment to mentoring future engineers highlight his multifaceted contributions to the field. Mr. Riaz’s innovative approach and focus on practical solutions align perfectly with the award’s vision of recognizing transformative research.

Education

Mr. Muhammad Riaz completed his Master’s in Electrical Engineering at Wah Engineering College, University of Wah, in 2021, specializing in Power Engineering. His thesis, “Optimal Power Flow Solution of Modified IEEE 30 Bus System Integrated with Renewable Energy Sources,” highlights his focus on integrating renewable energy into power systems. He earned his Bachelor’s in Electrical Engineering from Bahria University Islamabad in 2018, where he designed a battery-free MPPT solar inverter as his final year project. His academic journey reflects a strong foundation in electrical and electronics engineering, complemented by minors in computer and communication engineering.

Experience

As a Lecturer at the Govt. Technical & Vocational Training Authority KP since 2021, Mr. Riaz has designed comprehensive lesson plans and delivered engaging lectures on motors, generators, PLCs, and solar PV systems. He also mentors students, fostering innovation and critical thinking. Previously, as a Lab Engineer at Wah Engineering College, he developed and implemented laboratory experiments, collaborated with faculty to optimize resources, and maintained equipment for effective teaching. His hands-on experience and dedication to teaching underscore his commitment to advancing electrical engineering education.

Awards and Honors

  • Fully Funded Scholarship: Secured a scholarship for BEE from the ICT R&D Fund, Government of Pakistan.
  • Rector’s Honor List: Recognized with Cum Laude distinction at Bahria University Islamabad.
  • Prime Minister Laptop Scheme: Awarded under the national initiative for academic excellence.
    These accolades reflect Mr. Riaz’s academic excellence and commitment to professional growth.

Research Focus

Mr. Muhammad Riaz’s research focuses on smart grids, optimal power flow, and the application of artificial intelligence in power systems. His work emphasizes sustainable energy solutions, including the integration of renewable energy into existing grids. His interests extend to control systems and optimization algorithms, aiming to enhance energy efficiency and reliability. His research aligns with global efforts to address energy challenges through innovative and intelligent systems.

Publication Top Notes

  • Article: An Optimal Power Flow Solution of a System Integrated with Renewable Sources Using a Hybrid Optimizer
    • Year: 2021
  • Article: An Optimization-Based Strategy for Solving Optimal Power Flow Problems in a Power System Integrated with Stochastic Solar and Wind Power Energy
    • Year: 2021
  • Conference Paper: An Innovative Model Based on FCRBM for Load Forecasting in the Smart Grid
    • Year: 2020
  • Conference Paper: Day Ahead Electric Load Forecasting by an Intelligent Hybrid Model Based on Deep Learning for Smart Grid
    • Year: 2020

 

 

Assist Prof Dr. Mahmood Hassan | Computer Networks Award | Best Researcher Award

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Assist Prof Dr. Mahmood Hassan | Computer Networks Award | Best Researcher Award

Assist Prof Dr. Mahmood Hassan, Najran University, Saudi Arabia

Dr. Mahmood Ul Hassan is a versatile professional with a rich academic background and extensive experience in academia and research. 🎓 Holding a PhD in Computer Science with a focus on Wireless Sensor Networks, he has demonstrated expertise in areas such as computer networks, research methodology, and artificial intelligence. With over a decade of teaching experience at various institutions, including Najran University and Jouf University, he has excelled in academic planning, quality management, and student welfare. As a prolific researcher, he has authored impactful theses and contributed to numerous workshops and conferences, showcasing his commitment to advancing the field. 💼 His skills span programming languages, web development, and database management, making him a well-rounded professional in the realm of technology.

Professional Profile:

Scopus

Orcid

🎓 Education:

  • PhD in Computer Science from IIC University of Technology, Cambodia
  • MS in Computer Science from COMSATS University, Pakistan
  • BS in Computer Science (Hons) from Hazara University, Pakistan

💼 Experience:

  • PhD Supervisor at IIC University of Technology, Cambodia
  • Assistant Professor at Quality Education Company, Najran University, Saudi Arabia
  • Head of Department at Jouf University, Saudi Arabia
  • Lecturer at Govt. College of Commerce & Management Sciences, Pakistan
  • Research Associate at COMSATS University, Pakistan

🏅 Professional Skills:

  • Courses: Computer Networks, Research Methodology, Operating Systems, Image Processing, Artificial Intelligence
  • Programming Languages: C/C++, Java, C#.NET, JSP, ASP.NET, JavaScript
  • Databases: Microsoft SQL Server, Oracle
  • Operating Systems: Windows, Linux

📚 Thesis and Projects:

  • PhD Thesis: Energy Efficient Techniques for Connectivity Restoration in Wireless Sensor Networks
  • MS (CS) Thesis: Object Recognition using Genetic Algorithm on Shape Descriptors
  • BCS (Hons) Thesis: Identification and Data Management of Suspicious Persons

Scopus Metrics:

  • 📝 Publications: 14 documents indexed in Scopus.
  • 📊 Citations: A total of 64 citations for his publications, reflecting the widespread impact and recognition of Dr. B. Sathiyabhama’s research within the academic community.

Publications Top Notes :

  1. BBSF: Blockchain-Based Secure Weather Forecasting Information through Routing Protocol in Vanet
    • Published in Sensors, 2023, 23(11), 5259.
    • Cited by 4 articles.
  2. An efficient dynamic decision-based task optimization and scheduling approach for microservice-based cost management in mobile cloud computing applications
    • Published in Pervasive and Mobile Computing, 2023, 92, 101785.
    • Cited by 9 articles.
  3. A CNN-Model to Classify Low-Grade and High-Grade Glioma From MRI Images
    • Published in IEEE Access, 2023, 11, pp. 46283–46296.
    • Cited by 6 articles.
  4. A Novel RGB Image Obfuscation Technique Using Dynamically Generated All Order-4 Magic Squares
    • Published in IEEE Access, 2023, 11, pp. 46382–46398.
    • Cited by 1 article.
  5. Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks
    • Published in Computer Systems Science and Engineering, 2022, 44(1), pp. 845–858.
    • Cited by 3 articles.