Mohammad Amir
University of Liverpool, Indian Institute of Technology Delhi, Jamia Millia Islamia Faculty of Engineering and Technology, Integral University, Qatar University
Research areas: Engineering · Electrical and Electronic Engineering · Microgrid Control and Optimization · Advanced DC-DC Converters · Electric Vehicles and Infrastructure
About
In 2025, Dr. Mohammad Amir was awarded the Global Talent recognition by the United Kingdom Research and Innovation (UKRI). Dr. Amir is currently working as a Postdoctoral Research Associate in the School of Engineering at the University of Liverpool, United Kingdom, under the UKRI and METTLE/HIGHESS projects (focusing on innovative energy storage systems for renewable energy to accelerate clean energy access and decarbonization using artificial intelligence/machine learning).
Previously, Dr. Amir had the distinction of being awarded the National Postdoctoral Fellowship under the Science and Engineering Research Board (SERB), Government of India, Department of Energy Science and Engineering at the Indian Institute of Technology (IIT) Delhi. Dr. Amir was awarded a Ph.D. degree from the Advanced Power Electronics Research Laboratory, Department of Electrical Engineering, Jamia Millia Islamia (a Central University), New Delhi, India, in 2023. He completed his M.Tech. degree with a specialization in Power Electronics and Drives from the Department of Electrical Engineering, Madan Mohan Malaviya University of Technology (MMMUT), Gorakhpur, India, in 2018, and his B.Tech. in Electrical Engineering from Integral University, Lucknow, India, in 2015.
He was also appointed as a Research Associate in a project titled “Electric Vehicle Charger and Charging Infrastructure at LT Level (D-EVCI)” in the Department of Electrical Engineering at IIT Delhi, under the Department of Science & Technology (DST), Government of India. Additionally, he is leading a research project as Principal Investigator (PI) titled "Stochastic Analysis for Large-Scale Electric Vehicles Load with Flexible Charging Prediction and Intelligent-Based Control of Renewable Rich Smart Microgrid with Energy Storage," funded by the Science and Engineering Research Board (SERB) with a grant of 3.03 million INR.
Engaged as a Visiting Research Associate at the Department of Electrical Engineering, Qatar University, from October 2023 to January 2024. Contributing to the National Priorities Research Program (NPRP) project titled "Impact Assessment of Electric Vehicle Charging Stations and Regulation Policies for Upcoming Active Distribution Network of Qatar Utility Grid. Dr. Amir has been Research Assistant in Advanced Power Electronics Research Lab, Department. of Electrical Engineering, JMI, New Delhi, from Jan 2021 to Feb 2023, working under the SPARC Project of MHRD, Govt. of India, in collaboration with Aalborg University, Denmark. While pursuing for his Ph.D., he was a Visiting Scholar at the Department of Electrical and Electronics Engineering, Higher College of Technology, United Arab Emirates for a period of three months. Dr. Amir had also worked as a Visiting Faculty in the Department of Electrical, Instrumentation and Control Engineering, NSUT, University of Delhi, New Delhi, India from 2019 to 2021. He was a recipient of the Ministry of Human Resource & Development (MHRD) and University Grant Commission (UGC) Fellowship besides being a Graduate Aptitude Test in Engineering (GATE) Fellow, specialization in Electrical Engineering from the year 2016-2018 conducted by the Indian Institute Science (IISc), Bangalore. He has also qualified for the Faculty Aptitude Test of Engineering (FATE) in 2018, conducted by IET, Lucknow, India.
He is actively IEEE Young Professional in various Societies, and in the year 2021-2022, served as a Research & Academic Career Coordinator, IEEE Delhi Section, (Region 10, Asia-Pacific). Currently, Dr. Amir is Associate member of International Society of Energy and Built Environment, Australia. Member of Autonomous Vehicles and Systems, ASME (USA). Also, Associate member of International Society for Energy Transition Studies.
Dr. Amir has more than 50 published papers in reputed international journals, international conferences, and high indexed books with invited chapters. He has received best paper awards at several international conferences and has two granted patents to his credit. He served on the pre-screening committee for conferences such as: ICSPER, NIT Warangal, India, IEEE-SGRE 2024, Doha, Qatar, IEEE-ECCE 2021 (Singapore), 2022 (Germany), 2023 (USA), IEEE-REEDCON 2023, Delhi, India, IEEE-ICPIEC 2019, India, IEEE-INDICON 2020, Delhi, India, Springer Conference on Electrical Systems & Automation 2023, Morocco, He also served as a session chair at: IEEE INCET-2023, Belgaum, India, and Springer SIGMAA-2023, “Recent Advancement in Power Systems, Green Energy, and Smart Transportation in Smart Cities”. Currently, Dr. Amir is the Review Editor for Frontiers in Energy Research, Frontiers in Future Transportation and many more.
his research interests include Power System Optimization, Renewable Energy, Intelligent Energy Management, Energy Storage, Electric Vehicles, Power Electronics, AI/ML in Smart Microgrids.
Employment
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University of Liverpool Researcher2025 - Present
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Indian Institute of Technology Delhi Lead Principal Investigator (PI) and Post Doctoral Fellow2023 - 2025
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Qatar University Visiting Research Associate2023 - 2024
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Advanced Power Electronics Research Laboratory Research Assistant (Worked under the SPARC project MHRD, Govt. of India in collaboration of Aalborg University Denmark, Denmark)2021 - 2023
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Netaji Subhas University of Technology Visiting Research Associate2019 - 2021
Education
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Jamia Millia Islamia Faculty of Engineering and Technology Doctor of Philosophy (PhD)2019 - 2023
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Integral University Bachelor of Technology (B.Tech) Department of Electrical Engineering2011 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (96)
- Safeguarding the future distributed energy resources integrated grid: A comprehensive review of protection strategies for AC/DC microgrids Save
- Building Bridges Across Continents: PELS S&YP Events at PELS-Sponsored Conferences Connect the Next Generation [Students and Young Professionals Rendezvous] Save
- Optimal frequency control in renewable-dominated multi-microgrids using an integral filtered derivative tilted controller optimised via salp swarm algorithm Save
- Enhancing Electric Vehicle Battery Pack Performance: A PCM-Based Study on Battery Thermal Management for the Energy Market Save
- Modelling and optimization of hybrid renewable energy system using SBLA-MAT algorithm Save
- Active cell equalization for lithium-ion battery packs in electric vehicles using state of power estimation with convolutional neural network Save
- Intelligent assessment of power quality disturbances: A comprehensive review on machine learning and deep learning solutions Save
- Hybrid Deep Learning Models for Power Output Forecasting of Grid‐Connected Solar PV Systems: A Monocrystalline and Polycrystalline PV Panel Analysis Save
- A critical review of compensation converters for capacitive power transfer in wireless electric vehicle charging circuit topologies Save
- Advancement in battery health monitoring methods for electric vehicles: Battery modelling, state estimation, and internet-of-things based methods Save
- Advancements and Challenges in Microgrid Technology: A Comprehensive Review of Control Strategies, Emerging Technologies, and Future Directions Save
- Agent based online learning approach for power flow control of electric vehicle fast charging station integrated with smart microgrid Save
- Comparative analysis of brushless DC and switched reluctance motors for optimizing off-grid water pumping Save
- Cost Optimization of Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) Systems in Microgrids: A Case Study on Battery Charging/Discharging Control Save
- Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks Save
- Five-Level MLI-Based Grid-Connected Photovoltaic Systems: A Review on Control Methodologies, Modulation Strategies and Recent Developments Save
- Implementation of Machine Learning for Power Electronics Application Using PYTHON Save
- Multi-Agent Based Optimization of Hybrid Solar PV, Hydrogen, and Battery Storage Systems to Maximize Energy Production Save
- Predicting energy consumption of building clusters at the design stage using machine learning models Save
- WAMS Operations in modern power systems: A median expectation-based state estimation approach for grid resilience towards cyber attacks Save