Mr. Muhammad Riaz | Efficient Networking | Best Researcher Award

Published on by Network Awards

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

 

 

Dr. Iftikhar Ahmad | Network Optimization Awards | Best Researcher Award

Published on by Network Awards

Dr. Iftikhar Ahmad | Network Optimization Awards | Best Researcher Award

Dr. Iftikhar Ahmad, University of Gujrat, Pakistan

Dr. Iftikhar Ahmad is an accomplished researcher and Assistant Professor of Mathematics at The University of Chenab, with a strong academic background, including a Ph.D., MPhil, and BS in Mathematics from the University of Gujrat, Pakistan. His research expertise lies in neural networks and nonlinear models, with a focus on solving complex mathematical problems through advanced computational techniques such as Wavenet. Dr. Ahmad has made significant contributions to applied mathematics, demonstrated by his publications in high-impact journals, and is dedicated to advancing both research and education in his field.

Professional Profile:

Scopus

Suitability for the Best Researcher Award

Dr. Iftikhar Ahmad is highly suitable for the Best Researcher Award. His strong academic background, particularly in applied mathematics and his focus on neural networks and nonlinear models, positions him as a leading researcher in his field. His recent publications in high-impact journals demonstrate his ability to conduct advanced research and contribute valuable insights to the mathematical and engineering communities. Moreover, his role as an Assistant Professor highlights his commitment to academia, not only in teaching but also in fostering research.

Academic Background:

Dr. Ahmad has a solid academic foundation in Mathematics, having completed a Ph.D., MPhil, and BS in the field from the University of Gujrat, Pakistan. His doctoral research focused on the design and applications of Wavenet for solving nonlinear models, which demonstrates his capability in tackling complex mathematical problems using advanced computational techniques. His MPhil thesis also delved into the numerical study of nonlinear problems using neural networks, further emphasizing his expertise in applied mathematics and computational methods.

Professional Experience:

Dr. Ahmad has considerable teaching experience, currently serving as an Assistant Professor at The University of Chenab and previously at the University of Gujrat. His roles have involved not only delivering lectures but also supporting research groups, which indicates his active engagement in both teaching and research activities. His experience as a Mathematics lecturer at the undergraduate level also highlights his commitment to educating future mathematicians.

Publication Top Notes:

  • On the applications of collocation method for numerically analyzing the nonlinear Degasperis-Procesi and Benjamin-Bona-Mahony equations

    Cited by: 5

  • Optimal control of thermoregulation in the human dermal regions investigated through the stochastic integrated techniques

    Cited by: 2

  • Novel intelligent predictive networks for analysis of chaos in stochastic differential SIS epidemic model with vaccination impact

    Cited by: 2

  • Intelligent predictive computing for functional differential system in quantum calculus

    Cited by: 1

  • Integrated intelligence of inverse multiquadric radial base neuro-evolution for radiative MHD Prandtl–Eyring fluid flow model with convective heating

    Cited by: 1

 

 

 

Dr. Abdellah El-Maaroufi | Network Optimization Awards | Best Researcher Award

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Dr. Abdellah El-Maaroufi | Network Optimization Awards | Best Researcher Award

Dr. Abdellah El-Maaroufi, University Mohammed V in Rabat faculty of sciences, Morocco

Dr. Abdellah El-Maaroufi is a researcher at the University Mohammed V in Rabat, Faculty of Sciences, Morocco. He earned a Master’s degree in Renewable Energies and Storage and a Bachelor’s in Physics, Mechanical Energy from the same institution. His Master’s thesis centered on simulating air flow around aerodynamic profiles, while his Bachelor’s project focused on photovoltaic systems. Dr. El-Maaroufi is skilled in various technical tools including SCAPS and ANSYS Fluent. Outside of research, he enjoys sports like football and basketball, as well as reading, drawing, and scientific exploration.

🌐 Professional Profile:

Scopus

🎓 Education:

Dr. Abdellah El-Maaroufi holds a Master’s degree in Renewable Energies and Storage from Université Mohammed V, Faculty of Sciences, Rabat (October 2021). He earned his Bachelor’s in Physics, Mechanical Energy from the same institution (2018-2019), and completed his Baccalauréat in Physics-Chemistry in June 2016.

🔬 Research and Projects:

His Master’s thesis focused on the “Simulation of Air Flow Around an Aerodynamic Profile (NA CA0012)” 🌬️. For his Bachelor’s project, he explored “Photovoltaic Systems: Principles, Materials, and Advanced Technologies” ☀️.

🛠️ Technical Skills:

Dr. El-Maaroufi is proficient in various technical tools including SCAPS, Office Suite, DesignBuilder, AutoCAD, DAMMWERK, WINDOW6, and ANSYS Fluent.

🌟 Interests:

He enjoys regular sports activities such as football and basketball ⚽🏀, and his hobbies include reading, drawing, and scientific research 📚✍️.

Publication Top Notes:

Techno-economic Analysis of a PV/WT/Biomass Off-Grid Hybrid Power System for Rural Electrification in Northern Morocco Using HOMER
  • Publication Year: 2024