Muhammad Yaqoob Javed
Also known as: [email protected]
COMSATS University Islamabad, Lahore Campus, University of Central Punjab, University of Science and Technology of China, Universidad de Ingeniería y Tecnología
Research areas: Energy · Renewable Energy, Sustainability and the Environment · Photovoltaic System Optimization Techniques · Metaheuristic Optimization Algorithms Research · Advanced DC-DC Converters
About
Dr. Muhammad Yaqoob Javed is currently serving as an Associate Professor in the Department of Electrical Engineering at COMSATS University Islamabad, Lahore Campus, Pakistan. He holds a PhD in Renewable Energy with a specialization in Solar Photovoltaic (PV) Systems. His research interests include maximum power point tracking (MPPT) techniques, grid-tied and standalone PV systems, microgrids, renewable energy integration, and energy optimization.
Dr. Yaqoob has actively contributed to various national and international collaborative research projects, including the NSF-PSF funded microgrid implementation project with South China University of Technology and a Belt and Road Initiative project on precision automation and robotics at Nanjing University of Aeronautics and Astronautics, China. He is also a certified Lean Six Sigma White Belt and a passionate advocate for bridging the gap between academia and industry through practical, impactful energy solutions.
Employment
-
COMSATS University Islamabad - Lahore Campus Associate Professor2018 - Present
-
University of Central Punjab Assistant Professor2008 - Present
Education
- 2014 - 2017
-
University of Engineering and Technology MSc Computer Engineering2009 - 2013
-
University of Central Punjab BSc Electrical Engineering2004 - 2008
Projects & Funding
Projects & funding information is unavailable.
Publications (49)
- Design and Implementation of Finite-Time Convergent Adaptive ADRC for the Resilient Control of Power Converters Save
- Review of DC Microgrid Design, Optimization, and Control for the Resilient and Efficient Renewable Energy Integration Save
- Optimized Maximum Power Point Tracking for Hybrid PV-TEG Systems Using an Improved Water Cycle Algorithm Save
- A Coronavirus Optimization (CVO) algorithm to harvest maximum power from PV systems under partial and complex partial shading conditions Save
- Improving the efficiency of photovoltaic-thermoelectric generator system using novel flying squirrel search optimization algorithm: Hybrid renewable and thermal energy system (RTES) for electricity generation Save
- Ordering Technique for the Maximum Power Point Tracking of an Islanded Solar Photovoltaic System Save
- A Horse Herd Optimization Algorithm (HOA)-Based MPPT Technique under Partial and Complex Partial Shading Conditions Save
- A Novel Hybrid MPPT Technique Based on Harris Hawk Optimization (HHO) and Perturb and Observer (P&O) under Partial and Complex Partial Shading Conditions Save
- A Novel Hybrid MPPT Technique to Maximize Power Harvesting from PV System under Partial and Complex Partial Shading Save
- A Review of Battery Management System and Modern State Estimation Approaches in Lithiumion Batteries for Electric Vehicle Save
- An Efficient Estimation of Wind Turbine Output Power Using Neural Networks Save
- Economic Integration of Renewable and Conventional Power Sources—A Case Study Save
- Modular Level Power Electronics (MLPE) Based Distributed PV System for Partial Shaded Conditions Save
- Performance Optimization of a Ten Check MPPT Algorithm for an Off-Grid Solar Photovoltaic System Save
- Water Cycle Algorithm (WCA): A New Technique to Harvest Maximum Power from PV Save
- A dragonfly optimization algorithm for extracting maximum power of grid-interfaced PV systems Save
- Cr2O3-TiO2-Modified Filter Paper-Based Portable Nanosensors for Optical and Colorimetric Detection of Hydrogen Peroxide Save
- High-efficiency hybrid PV-TEG system with intelligent control to harvest maximum energy under various non-static operating conditions Save
- Modified control of Virtual Synchronous Generator for Microgrid Stability Improvement Save
- Performance analysis of mars-powered descent-based landing in a constrained optimization control framework Save