Charan Kumar Ganteda | Fluid Dynamics | Excellence in Research Award

Dr. Charan Kumar Ganteda | Fluid Dynamics | Excellence in Research Award 

Velagapudi Ramakrishna Siddhartha Engineering College | India

Dr. G. Charan Kumar is a seasoned academician and researcher currently serving as an Assistant Professor in the Department of Mathematics at Koneru Lakshmaiah Education Foundation (KLEF), Andhra Pradesh. With over 16 years and 10 months of teaching and research experience, he has significantly contributed to applied mathematics, particularly in the domains of statistical modeling, fluid dynamics, and spatial graphs. He earned his Ph.D. from Sri Krishnadevaraya University, Ananthapuramu, where he focused on statistical-oriented spatial graph applications under the guidance of Prof. G. Shobhalatha. Dr. Kumar has an impressive scholarly record with a total of 80 research publications, including 30 in SCI-indexed journals, 30 in Scopus-indexed journals, and 20 in peer-reviewed non-Scopus journals. His impactful work has been recognized in journals such as Nano-Structures & Nano-Objects, Journal of Radiation Research and Applied Sciences, International Journal of Thermofluids, and Modern Physics Letters B. His research revolves around advanced topics including MHD flows, nanofluids, thermal radiation, optimization algorithms, and mathematical modeling of heat and mass transfer phenomena. His contributions are further enriched by his technical expertise in MATLAB, R, Minitab, and LaTeX. As a Co-Investigator, he is currently involved in a government-funded project under RUSA with a sanctioned grant of ₹10 lakhs (2024–2026), focusing on optimizing process parameters using advanced statistical algorithms. His work has gained national and international attention. His cumulative citations exceed 594 with an h-index of 14 (to be filled based on real-time data). Dr. Kumar is committed to pushing the frontiers of applied mathematics and is a guiding force in shaping the next generation of researchers in statistical and mathematical sciences.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

“Impact of variable electrical conductivity, viscosity on convective heat and mass transfer flow of CuO- and Al2O3-water nanofluids in cylindrical annulus”.

“Optimization of 3D hydromagnetic Casson fluid flow over a permeable stretching surface using RSM and AI”.

“The characteristics of thermal radiation and chemically boundary layer slip flow of a MHD Casson fluid over an exponentially elongating sheet”.

“Multiple slips on Darcy–Forchheimer unsteady flow manifested with Cattaneo–Christov heat flux over a stretching sheet”.

“Efficient effects of chemical reactions and thermal radiation on unsteady magnetohydrodynamic mixed convection in hybrid nanofluid flow over a nonlinearly stretched sheet”.

“Explicit finite difference simulations for accelerating cross diffusion flow over a perpendicular shield with parabolic motion”.

Zahid MEHMOOD | Hydraulics | Best Researcher Award | 13463

Mr. Zahid MEHMOOD | Hydraulics | Best Researcher Award

Mr. Zahid MEHMOOD, Zhejiang University, China

Dr. Zahid Mehmood is a dynamic and passionate researcher in Renewable Energy with a specialization in wind turbine performance and power optimization at Zhejiang University, China. With a strong background in civil, hydraulic, and geotechnical engineering, he leverages computational modeling and data-driven approaches to solve critical energy challenges. His robust academic record includes multiple high-impact publications in leading journals like Renewable Energy and Expert Systems With Applications, with ongoing contributions to real-time wind farm monitoring and aerodynamic analysis. Dr. Mehmood’s teaching and project management experience, combined with leadership roles and international collaborations, reflect his commitment to advancing sustainable engineering solutions.

Author Profile

Google Scholar

🌱 Early Academic Pursuits

Laying the foundation of excellence in engineering

Dr. Zahid Mehmood was born on April 21, 1990, in Pakistan and demonstrated academic promise from a young age. He stood second in his divisional middle standard board examination, an early testament to his intellectual potential. He pursued a Bachelor of Science in Civil Engineering at the University of Engineering and Technology (UET), Lahore, graduating in 2013. His academic excellence earned him a merit-based scholarship awarded by the Azad Kashmir Government, recognizing his top-tier performance.

He continued his academic growth by earning a Master’s degree in Hydraulics & Irrigation Engineering at UET Lahore. His master’s thesis focused on groundwater quality and aquifer characteristics using geo-electrical resistivity surveys—an advanced geophysical approach for subsurface analysis. His passion for understanding environmental systems and energy applications led him to Zhejiang University in Hangzhou, China, where he began a Ph.D. in Renewable Energy in 2022. His doctoral research reflects a holistic view of wind energy systems, integrating computational modeling, data-driven techniques, and real-time monitoring for wind turbine optimization.

👨‍🏫 Professional Endeavors

From classroom to field: A multifaceted engineering career

Dr. Mehmood began his professional journey at the Mirpur University of Science and Technology (MUST), Pakistan. As a Lecturer (2017–2022), he taught key engineering subjects such as Fluid Mechanics, Geotechnical Engineering, Hydraulics, and Environmental Engineering. He also supervised undergraduate research projects, served on academic committees, and guided students through counseling and mentorship.

Earlier, from 2014 to 2017, he served as a Lab Engineer, where he not only conducted laboratory sessions but also developed new lab workstations and infrastructure. His dedication extended beyond academics—he was appointed Executive Engineer/Deputy Project Director at MUST, where he led infrastructure projects with administrative responsibility. His leadership extended to campus life, where he also served as hostel prefect and mess manager, contributing to student welfare and discipline.

🔬 Contributions and Research Focus

Pioneering advancements in wind energy systems and environmental hydraulics

Dr. Zahid Mehmood’s research interests are deeply rooted in renewable energy, particularly wind turbine performance evaluation, aerodynamic modeling, wake interaction, energy forecasting, and power optimization using AI-driven techniques. His doctoral thesis introduces integrated computational and analytical modeling strategies to optimize wind farm operations and predict power output with higher accuracy.

His recent publications address real-world challenges in wind energy. His 2024–2025 papers cover:

  • Wind turbine energy forecasting using real-time data and gene expression programming

  • Wake interaction analysis using FAST.Farm and LiDAR monitoring

  • Anomaly detection in wind farms with hybrid models

  • Comparative modeling for wind turbine performance using AI vs. traditional methods

  • Environmental hydraulics and groundwater quality using geophysical surveys

His work reflects a unique blend of engineering, data science, and sustainability, positioning him at the cutting edge of applied research.

🏆 Accolades and Recognition

Recognized scholar with a strong academic and research trajectory

Dr. Mehmood’s academic and professional journey has been marked by several prestigious awards and recognitions:

  • Merit scholarship from Azad Kashmir Government for undergraduate studies

  • Postgraduate scholarship for M.Sc. from the Ministry of Kashmir and Northern Affairs

  • 2nd position in divisional board examination at middle school level

  • Multiple invitations to present at national and international conferences

  • Strong recommendation letters from academic mentors and supervisors across China, Pakistan, and Europe

🌍 Impact and Influence

Engineering solutions that serve society and the planet

Dr. Mehmood’s interdisciplinary work transcends theoretical research. His focus on real-time wind farm monitoring, environmental sustainability, and renewable energy resilience addresses global challenges in clean energy and climate change mitigation. His collaborative approach and use of tools like ANSYS Fluent, Plaxis 3D, FAST.Farm, MATLAB, and Python demonstrate his capacity to bridge simulation, programming, and engineering in practical applications.

He contributes actively to the academic community by publishing in high-impact journals such as Renewable Energy, Energies, and Stochastic Environmental Research and Risk Assessment, expanding the frontier of wind turbine optimization research.

🔮 Legacy and Future Contributions

A vision for a greener and smarter energy future

With a strong foundation in civil engineering and a focus on sustainable and intelligent energy systems, Dr. Zahid Mehmood is set to become a transformative figure in the renewable energy sector. He envisions a future where AI-powered simulations improve energy reliability, reduce carbon footprints, and enable smarter grid systems. His expertise is crucial for developing nations seeking cost-effective renewable solutions.

As he progresses toward completing his Ph.D. at Zhejiang University, his commitment to interdisciplinary innovation, sustainability, and global collaboration marks him as a rising star in environmental and energy engineering.

✍️Publication Top Notes


📖Assessment of subsurface lithology, groundwater depth, and quality of UET Lahore, Pakistan, using electrical resistivity method

Author: Z Mehmood, NM Khan, S Sadiq, SJ Mandokhail, SZ Ashiq
Journal:  Geosciences
Year: 2020

📖Wind turbine energy forecasting using real wind farm’s measurement data and performance of gene expression programming analytical model in comparison to traditional algorithms

Author: ZW Zahid mehmood
Journal: International Journal of Green Energy
Year: 2024

📖Power performance analysis and survey-based analytical formulation modelling using real-time wind farm monitoring data

Author: Z Zhenyu Wang, Guiying Shen, Muhammad Waqar Hussain
Journal: Stochastic Environmental Research and Risk Assessment
Year: 2025