Mr. Kamran Daniel | Power Quality | Best Researcher Award
Mr. Kamran Daniel, Tallinn university of Technology Estonia, Estonia
Mr. Kamran Daniel is an Early-Stage Researcher at Tallinn University of Technology, specializing in AC/DC power converters within the field of Electrical Power Engineering and Mechatronics, which he studied for his Ph.D. His academic background includes an M.Sc. in Electrical Engineering from the University of South Asia Lahore and a B.Sc. in Electronic Engineering from Islamia University Bahawalpur. Previously, he served as a Lecturer at UET Lahore and worked as a Network Engineer at ZTE Pakistan, along with an internship at Telenor Pakistan. Proficient in MATLAB, C++, and Python, Mr. Daniel excels in simulation and design software. His research interests encompass Power System Quality, Electromagnetic Compatibility, Machine Learning, and Integrated Electronics, and he is actively involved in projects such as PRG2055 “EFFICIENT” and PSG142 “Synthesis of Output Current Waveforms” to enhance power system efficiency and renewable energy integration.
šĀ Professional Profile:
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Suitability for the Best Researcher Award
- Innovative Research: Mr. Danielās research focuses on crucial aspects of electrical power engineering, including harmonics in power converters and integration of smart energy systems. His work addresses key issues in improving energy efficiency and integrating renewable energy, showcasing significant contributions to the field.
- Impactful Projects: The research projects he is involved in, such as EFFICIENT and PSG142, are notable for their ambition and funding levels. These projects have the potential to impact energy systems significantly, reflecting his role in advancing the field.
- Publication Record: His publications in reputable journals, including IEEE Access, demonstrate his active engagement in cutting-edge research. The upcoming conference paper further highlights his ongoing contributions to the academic community.
- Professional Experience: His diverse experience as a lecturer, researcher, and network engineer enriches his perspective and expertise. His role as an early-stage researcher at a prestigious institution further underscores his commitment to advancing research in his field.
- Technical Skills: Proficiency in MATLAB, C++, Python, and various simulation and designing software equips him with the tools needed for advanced research and problem-solving in electrical power engineering.
š Education:
Mr. Kamran Daniel holds a Ph.D. in Electrical Power Engineering and Mechatronics from Tallinn University of Technology, Estonia, where he researched AC/DC power converters. He also completed an M.Sc. in Electrical Engineering from the University of South Asia Lahore with a CGPA of 3.79 and a B.Sc. in Electronic Engineering from Islamia University Bahawalpur.
š ļø Professional Experience:
Currently, Mr. Daniel is an Early-Stage Researcher at Tallinn University of Technology. He previously worked as a Lecturer at UET Lahore and as a Network Engineer at ZTE Pakistan. He also gained experience through an internship at Telenor Pakistan.
š¬ Research Interests:
His research focuses on Power System Quality, Electromagnetic Compatibility, Machine Learning, and Integrated Electronics.
š Research Projects:
Mr. Daniel is involved in key projects like PRG2055 “EFFICIENT,” aimed at enhancing the efficiency and security of power electronic systems, and PSG142 “Synthesis of Output Current Waveforms,” which focuses on improving renewable energy integration into distribution networks.
Publication Top Notes:
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Title: Integrating Smart Energy Management System with Internet of Things and Cloud Computing for Efficient Demand Side Management in Smart Grids
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Year: 2023
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Citations: 56
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Title: Estimation of Harmonic Emission of Electric Vehicles and Their Impact on Low Voltage Residential Network
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Year: 2021
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Citations: 23
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Title: A Comparative Study of Maximum Power Point Tracking Techniques for Solar Systems
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Year: 2019
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Citations: 21
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Title: Low Power and High Speed Dadda Multiplier Using Carry Select Adder with Binary to Excess-1 Converter
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Year: 2020
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Citations: 13
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Title: Current Harmonic Aggregation Cases for Contemporary Loads
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Year: 2022
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Citations: 12
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