Lecturer Engr. Muhammad Javaid Aslam
Javaid Aslam is a Lecturer in the Department of Electrical Engineering at the University of Gujrat (UOG), Pakistan, where he taught courses in Power Electronics, Digital Logic Design, and Electromagnetic Field Theory. Concurrently, he is pursuing his PhD in Electronic and Computer Engineering.
His research interests include Machine learning for optimization, load forecasting, and Vehicle to Grid integration technologies.
- M.Sc. Energy Engg,University of Engg & Tech Lhr
- B.Sc. Electrical Enggg,University of Engineering & Technology Lahore
- Electronics Engineer Electro/13169 Lifetime Membership
| Student Name | Degree | Title | Status / Completed Year |
|---|---|---|---|
| TALHA SAJJAD (20001222011), SHAHZAIB (20001222023) | B.Sc. | INFORMATION SYSTEM FOR CONSUMED ELECTRICITY WITH ON-DEMAND AND MONTHLY FREQUENT BILLING NOTIFIER In recent years, electricity costs have continued to rise, consumers often face inaccurate billing due to energy losses from distant WAPDA meters, which can lead to higher bills that do not accurately reflect actual usage. This project aims to develop a smart energy meter system that provides precise and real-time monitoring of electricity consumption right at the point of use. Utilizing an Arduino microcontroller, GSM modules for communication, and strategically placed sensors near the distribution box, the system features an LCD showing current, voltage, power consumption in watts, and total energy consumed in kilowatt-hours (kWh). This setup enhances billing transparency and minimizes errors associated with distant meter readings, ensuring consumers are billed accurately for the electricity they use. Additionally, the system includes SMS notifications to inform users about their consumption patterns, enabling them to make informed decisions and avoid exceeding tariff limits. By providing insights into energy usage, the project encourages users to adopt energy-efficient practices and promotes sustainable energy consumption within local communities. Ultimately, this smart energy meter system aims to improve billing accuracy, empower consumers, and support sustainable energy practices. | 2024 |
| M. HASSAN ZAHID QURESHI (19013122-018), TAYYAB ALI (19013122-038) | B.Sc. | CHARGING CYCLE OPTIMIZATION OF EV BATTERIES USING MACHINE LEARNING Electric vehicles (EVs) and machine learning (ML) are in market demand and are being considered the third-world revolution. Engineers are working on both of them as EVBatteries need to last longer which is effectively dependent on their state of charge and health. The problem here is a non-efficient system to use the ultimate extent of an EV battery. This is the need of time for a system that enhances the charging cycles and provides a faster way of charging. It is possible if the data driven from the environment and a battery through a BMS is fed to a machine learning algorithm (Neural Network) to get the most optimized solution. The algorithm will consider the ultimate choice which could lead to a longer-lasting battery. In this report, several topologies based on machine learning will be deployed to optimize the charging cycles of EV batteries. The expected outcomes will be batteries with enhanced charging cycles | 2023 |
| Fahad Zubair (15053322-031), Hamza Butt (15053322-042) and M.Usman Azam (15053322-047) | BS | POWER ELCTRONICS LAB TRAINER Our purpose is to make a Power Electronics lab trainer so that students can perform their practicals well. Those practical on which we are making lab trainers are performed on software in many universities, including our university, due to which many students face difficulties in practical fields afterwards. Our lab trainer consists of 12 circuits, including? To study the characteristics of diodes.? To study the switching characteristics of SCR.? To study the switching characteristics of power TRIAC.? To study the switching characteristics of BJT.? To study the switching characteristics of power MOSFETs? To study the switching characteristics of IGBT.? To study the buck converter and evaluate its performance.? To study the boost converter and evaluate its performance.? To study the buck-boost converter and evaluate its performance.? To study the cuk converter and evaluate its performance.? To study the half-bridge inverter and evaluate its performance.? To study the full bridge inverter and evaluate its performance.? To study the push-pull inverter and evaluate its performance.This project focuses on the design and implementation of power electronics circuits for getting the correct results from the electronics circuits. It is an improved model of previous training kits with some enhanced features. A digital electronics trainer is a device that functions as a tool for learning, teaching, and testing digital electronic circuits. It is also designed to offer an option for students to quickly build, modify, and troubleshoot all sorts of circuits. This training module consists of 12 different educational experiments with one digital multi meter, power supply, oscilloscope, and frequency meter etc. The basis of this training module is power engineering using power semiconductor devices with high voltage and current ratings. Different types of experiments can be performed and different properties of various devices, includingTRIC, POWER DIODES, SCR, MOSFET, BJT, IGBT can be checked. | 2019 |
| Muhammad Hussnain (14043322-003), Adnan Anwar (14043322-005), Sohail Abbas Khan (14043322-035), Shahzaib Nawaz (14043322-048) | BS | COIN BASED WATER DISPENSER Water has become the most commercial product of the century. Stress on more water resources is the result of many factors. On the one hand, the fast growing population and the change in lifestyle have increased the need for fresh water. If opportunity costs were taken into account, it would be clear that in most rural regions, domestic users pay much more for water supply than the often normal tariffs charged in city areas. We present here a fully automatic water supply system using a microcontroller and a sensor. The system can provide fully automated water using motors and sensors. The system also detects if the glass is positioned on the counter to prevent water deterioration if there is no glass on the countertop. The system uses IR sensors to detect the existence of glass and, as a result, the sensors send a signal to the microcontroller.The microcontroller now processes the information sent by the sensors to determine if the glass is present. The system also includes a coin detector used to detect coins and send information to the microcontroller. By detecting a coin, the system sends a signal to the controller, and the controller turns on the pump to pour water into the glass with the motor whenever the glass is present. If the glass is removed during the process, the system stops the water supply. Therefore, here we present a smart water distribution system. system with a water-saving function. | 2018 |
- Supervise Digital Logic Design Lab
- Supervise Power Electronics Lab
- Supervise Electrical Machines-I & Electrical Machines-II Lab
- Teach Basic Electronics Course
- Teach Digital Logic Design Course
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1. Naveed, Anum, Wasif Muhammad, Muhammad Jehanzeb Irshad, Muhammad Javaid Aslam, Sajjad Manzoor Manzoor, Tasleem Kausar, and Yun Lu. “Saliency-based semantic weeds detection and classification using uav multispectral imaging” Ieee Access, February 2023 DOI: doi.org/10.1109/ICEPECC57281.2023.10209509
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2. Aslam, Javaid, Jehanzeb Irshad, Muhammad Wasif, and Muhammad Kamran “Short term load forecasting under extensive power outages using domestic energy meter load profile; a case study” Journal Of Engineering Research, November 2022 DOI: doi.org/10.1109/ICEPECC57281.2023.10209509
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3. Arslan Arif, Junaid Arshad, Javaid Aslam and Shahid Iqbal “The LLCLC resonant converter based pseudo dc link inverter” Journal Of Engineering Research, November 2022 DOI: doi.org/10.1109/ICEPECC57281.2023.10209509
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4. Abdul Rauf, M Jehanzeb Irshad, Zubair Mehmood, Muhammad Wasif, Javaid Aslam, Sajjad Miran “A review of learning-based slam approaches of autonomous unmanned vehicles (auv)” Journal Of Engineering Research, November 2022 DOI: doi.org/10.1109/ICEPECC57281.2023.10209509
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1. Ali, Majid, Juan C. Vasquez, Josep M. Guerrero, Yajuan Guan, Jorge De La Cruz, and Muhammad Javaid Aslam “Ad-hoc microgrids planning for rural communities under natural disasters” ICEPECC23, March 2023 _DOI: doi.org/10.1109/ICEPECC57281.2023.10209509
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2. Sajid Ali Murtaza, Nazam Siddique, Javaid Aslam, Waqas Latif, Muhammad Wasif and Iftikhar Hussain “Improving the Stability of Islanded DC Microgrid with Constant Power Loads” engineering proceedings, January 2022 _DOI: doi.org/10.3390/engproc2021012011
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3. Javaid Aslam, Waqas Latif, Muhammad Wasif, Iftikhar Hussain and Saba Javaid “Comparison of Regression and Neural Network Model for Short Term Load Forecasting: A Case Study” engineering proceedings, December 2021 _DOI: doi.org/10.3390/engproc2021012029
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4. Saba Javaid, Sadia Murawwat, Waqas Latif, Javaid Aslam, Muhammad Wasif, Iftikhar Hussain “Error Minimization in ECG Signal Reconstruction Using Discrete Wavelet Transform” engineering proceedings, December 2021 _DOI: doi.org/10.3390/engproc2021012034
| Date | Title | Agency/Organization | Amount | Status |
|---|---|---|---|---|
| 2023-08-15 | Final Year Project | NGIRI 2022-2023 (IGNITE) | 80000 | Approved |
| 2023-12-11 | Final Year Project Funding | Pakistan Engineering Council (PEC) | 80000 | Approved |