Dr. Shah Faisal is an Assistant Professor in the Department of Electrical Engineering at Maulana Mukhtar Ahmad Nadvi Technical Campus (MMANTC), Malegaon, (Affiliated with Savitribai Phule Pune University - SPPU), Maharashtra, India, since 2014. He has over 10 years of academic experience and 1.9 years of industry experience as an Electrical Supervisor and Third-Party Electrical Audit Engineer. His professional interests focus on teaching, research, innovation, and applied engineering solutions in electrical engineering, electric vehicles, and smart energy systems.
He completed his Ph.D. in Electrical Engineering from IEM-UEM Jaipur in 2026, with research specialization in electric vehicles, charging infrastructure, power electronics, smart grids, and sustainable energy systems. He received his M.Tech in Electrical Power Systems from JNTU Hyderabad in 2017 and his B.Tech in Electrical & Electronics Engineering from JNTU Hyderabad in 2014.
EDUCATION
Ph.D. (Electrical Engineering) | University of Engineering & Management, Jaipur, India | 2020–2026
M.Tech (Electrical Power System) | RITS (Affiliated to JNTU Hyderabad, India) | 2015-2017
B.Tech (Electrical & Electronics Engineering) | RITS (Affiliated to JNTU Hyderabad, India) | 2010-2014
RESEARCH, TEACHING, or OTHER INTERESTS
Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Ecological Modeling
8
Scopus Publications
Scopus Publications
Design analysis of matrix converter for wireless Vehicle-to-Vehicle charging system and ecological footprint assessment of electric vehicle charging station Shah Faisal, Govind Rai Goyal, Bhanu Pratap Soni, Dilawar Husain International Journal of Emerging Electric Power Systems, 2025 Electric vehicles (EVs) are increasingly being adopted as a sustainable transportation due to their lower dependency on fossil fuels and low emissions. However, charging time and range anxiety issues in battery technology are affecting the development and growth of EVs. The proposed study examined the system performance of wireless power transmission between two vehicles using a single-phase phase charging matrix converter system. Thus, besides its capability to convert the voltage level, the proposed matrix converter is designed to be an active power filter that helps enhance the power factor and the quality of the wave shape of the input current. A transmitter and receiver shape of coil is also recommended for a wireless Vehicle-to-Vehicle (V2V) charging system with consideration of misalignment and geometrical matching between the transmitters coils are mounted on the front side while the receiver coils are fixed on the rear side. The currently proposed core elements were seen to be effective in transferring power by super-thick silicon steel laminated core (current drawn up to 1.64 A) and a super-thick ferrite core (current drawn up to 1.89 A), both have very less hysteresis loss, which improves system performance. The ecological footprint (EF) associated with electric vehicle (EV) battery charging is estimated to be approximately 3.1 × 10 −4 gha/kWh. New research shows V2V wireless electrical vehicle charging can play a critical role in lowering greenhouse gas emissions combined with other air pollutants compared to traditional battery charging systems. The proposed methodology contains comprehensive modelling of the switching behaviour of the matrix converter as well as control strategies and equations of power flow. The experimental validation is conducted with alternative core materials, and the analysis of the efficiency of the proposed wireless V2V charging system is made with the results that justify the possibility and functionality of the proposed system.
Comparative Analysis of Machine Learning Methods for Electric Vehicle Charging in Smart Grid Shah Faisal, Dilawar Husain, Manish Sharma, Talib Hasan, Syed Abbas Ali, Md Salman Baig Proceedings 2025 IEEE Delcon International Conference on Recent Smart Technologies in Engineering for Sustainable Development, 2025 Electric vehicles (EVs) have grown at a rapid pace, which has resulted in novel opportunities and challenges of building smart cities. With the continued adoption of EVs, the importance of effective charging infrastructure, peak load prediction and grid stability will become paramount. Large scale charging without control may cause fluctuations in voltage, transformer overload, and power losses on the smart grid. In the given paper, a machine learning (ML)-based charging management system, which incorporates traditional, fast, and vehicle-to-grid (V2G) charging technologies, is proposed. A variety of ML models, such as Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Deep Neural Networks (DNN), and Long Short-Term Memory (LSTM) are considered in the frame of optimization of EV charging schedules, both to save money and reduce the stress on the grid. The LSTM model records better results in enhancing the voltage stability, leveling the load curve, and reducing billing. Experimental results are given through figures and tables that aim to demonstrate the differences in performance and suggested methodologies.
Sustainability Analysis of Grid-Connected Rooftop Solar PV System: A Case Study Parvez Abdul Rasheed Shaikh, Ziya Tanzeel Sayyad Jameel, Farhad Ilahi Bakhsh, Dilawar Husain, Shah Faisal, Sajid Naeem, Syed Md Humayun Akhter Proceedings 2025 IEEE Delcon International Conference on Recent Smart Technologies in Engineering for Sustainable Development, 2025 The high rate of energy demand and greenhouse emissions (GHG) in the world has increased the shift to renewable energy technologies. Solar photovoltaic (PV) systems are one of them that are becoming clean and sustainable in power production. This paper is an ecological-footprint-based evaluation of a grid-connected rooftop solar photovoltaic (GRSP) system located in Malegaon, Maharashtra, India, and has an overall capacity of 11.3 kWp. The analysis takes into account the environmental effects of the manufacturing of the system, as well as the installation and operation of the system. Findings indicate that rooftop solar PV systems play a crucial role in carbon reduction and create a sustainable energy source whilst not having a large ecological footprint, as compared to traditional fossil-based energy systems. The results give insights to policymakers, engineers, and researchers to design PV systems that optimize the benefits of these systems, facilitate the use of green energy, and attain the long-term goals of environmental sustainability. The total Ecological Footprint of the selected GRSP system is estimated as 1.674 gha (i.e., 0.14 gha/kWP) for a 20-year lifespan.
Blockchain Based Peer-to-Peer Power Trading: An Analysis in India Talib Hasan, Abrar Ahmad, Shah Faisal, Fahad Iqbal, Syed Abbas Ali, Shameem Ahmad, Dilawar Husain Proceedings 2025 IEEE Delcon International Conference on Recent Smart Technologies in Engineering for Sustainable Development, 2025 Bypassing middlemen, P2P energy trading allows users to conduct direct energy transactions. Customers can now produce and sell excess energy thanks to its use of digital platforms and smart contracts, which enable transparent and effective energy exchange. Increased energy efficiency, lower costs, improved grid resilience, and encouragement of renewable energy production are just a few benefits of peer-to-peer energy trading. It encourages energy democratization by enabling people and groups to have an active role in the energy market.P2P energy trading presents a number of difficulties, according to the analysis, including complicated market structure, legal obstacles, technology demands, worries about data security and privacy, and the incorporation of intermittent renewable energy sources. The analysis looks at the state of P2P energy trading with a particular focus on India. It examines India's current pilot programs, market dynamics, and regulatory environment. The analysis also analyzes the unique potential and difficulties encountered in the Indian energy sector, as well as the steps the Indian government has made to encourage P2P trading. The prospects and potential for P2P energy trading in India are covered in the abstract's conclusion. It highlights how crucial infrastructure development, supportive policies, and cooperation among P2P energy traders are.
Reducing the Ecological Footprint and charging cost of electric vehicle charging station using renewable energy based power system Shah Faisal, Bhanu Pratap Soni, Govind Rai Goyal, Farhad Ilahi Bakhsh, Dilawar Husain, Akbar Ahmad E Prime Advances in Electrical Engineering Electronics and Energy, 2024 Ecological Footprint of electric vehicle (EV) charging stations primarily focuses on three parameters: direct/indirect emissions, manpower and physical land requirement. Electric vehicle charging stations rely on electricity to charge EV batteries, and electricity source can significantly influence their environmental impact. The Ecological Footprints of EV charging station is estimated as 40.69 gha. The potential EF reduction of EV charging station is 89.9% by using proposed hybrid power system. The Ecological Footprint of EV charging is about 3.1×10−4 gha/kWh of batteries charging. However, proposed hybrid system may reduce environmental impact of battery charging as 3.15×10−5 gha/kWh of batteries charging. The lifecycle cost of batteries charging is estimated as 0.168 $/kWh. It may reduce as 0.107 $/kWh of batteries charging with installation of proposed hybrid system. Thus, it is crucial to promote the use of renewable energy sources to power electric vehicle charging stations and minimize their environmental impact.
Power Converter Applications in Electric Vehicle Charging: Exploring Matrix Converters for Grid-to-Vehicle (G2V) Charging Infrastructure Shah Faisal, Govind Rai Goyal, Bhanu Pratap Soni, Dilawar Husain, Fareed Ahmad 2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation Sefet 2024, 2024 This paper presents a matrix converter-based bidirectional G2V wireless charging for EVs by single phase matrix converter (SPMC). It is the beginning of the G2V (Grid-to-Vehicle) present Installing a wireless IPT G2V charging will capacitate the utilization SPMC factor. Through the incorporation of the AC-AC converter, the working stage creates a single-stage frequency, from 50 Hz to 20 kHz (with frequencies ranging from 50 Hz to 20 kHz). Traditional topology is used, where the multiple transformers (AC∼DC∼AC) are utilized for smooth operation, which causes extra difficulties like weight, reliability, and poor efficiency. The simulation results suggested that the switch-type GTOs in combination with Si thin-film blocking diodes enable the production of zero variable voltage without any barriers on output frequency that permit circulating power with pure sine waves in the absence of contact. This research paper shows that matrix converters have significant features to improve the charging network and EV mobility.
Ecological Footprint of Electric Vehicle Charging Infrastructure Shah Faisal, Dilawar Husain, U. S. Ansari, Govind Rai Goyal, Bhanu Pratap Soni, Fareed Ahmad, Kirti Tewari, Ravi Prakash Environmental Footprints and Eco Design of Products and Processes, 2024
