Posted on 11/09/202412/09/2024 by ScienceFather 54 / 100 Powered by Rank Math SEO Assoc Prof Dr. Ammar Armghan | Electronics and Communications | Best Researcher Award Associate Professor at Jouf University, Saudi Arabia. Assoc. Prof. Dr. Ammar Armghan is an accomplished academic and researcher specializing in Electronics and Communication Engineering. He holds a Ph.D. in Optical Engineering from Huazhong University of Science and Technology (HUST), completed at the Wuhan National Laboratory for Optoelectronics (WNLO) in 2016. Dr. Armghan also earned an MSc in Electronic Communications and Computer Engineering from the University of Nottingham, UK. With a career spanning over a decade, he has held key positions at prestigious institutions such as Jouf University in Saudi Arabia, where he currently serves as an Associate Professor in the Department of Electrical Engineering. His research focuses on high-performance engineering, metamaterials, and optical communications, with numerous funded projects and publications in renowned journals like IEEE Access and Scientific Reports. Dr. Armghan has been recognized with several accolades, including the Best Teacher Award from Jouf University and the Chinese Government Scholarship for his Ph.D. studies. He is also an active member of the Institute of Engineering Technology (UK) and the Pakistan Engineering Council. Profile Scopus Profile Google Scholar Profile ORCID Profile Education Assoc. Prof. Dr. Ammar Armghan completed his Ph.D. in Optical Engineering at the Wuhan National Laboratory for Optoelectronics (WNLO) within the Department of Electrical Engineering at Huazhong University of Science and Technology (HUST) from September 2013 to September 2016. He earned his Master of Science (MSc) in Electronic Communications and Computer Engineering from the University of Nottingham, UK, where he achieved a commendable CGPA of 3.4/4.0, graduating in September 2009. During his MSc studies, Dr. Armghan engaged in projects across several key modules, including Hardware Description Language, Instrumentation and Measurement, Optical Communication, Mobile Communication, RF Microelectronics, and Digital Signal Processing. Prior to his master’s degree, he obtained a Bachelor of Science (BSc) in Electrical Engineering from CIIT, Pakistan, with a CGPA of 3.06/4.0, graduating in July 2006. His undergraduate studies covered essential topics such as Control Systems, Signals and Systems, Network Analysis, VLSI, and Communication Systems. Professional Experience Assoc. Prof. Dr. Ammar Armghan is currently serving as an Associate Professor in the Department of Electrical Engineering at Jouf University, Saudi Arabia. With over a decade of experience in academia, he has held key positions at Jouf University and previously at HITEC University and the University of Faisalabad, Pakistan. Dr. Armghan has been actively involved in research, accreditation, and quality assurance, contributing to several high-impact research projects and leading accreditation efforts for NCAAA and ABET. His expertise spans electrical engineering, project supervision, and academic leadership. Research Interest Assoc. Prof. Dr. Ammar Armghan’s research interests encompass a wide range of topics in electrical engineering, with a focus on advanced metamaterials, optical communications, and wireless networks. His work delves into the design and fabrication of metamaterial devices for energy harvesting and sensing applications, including polarization-insensitive absorbers and high-Q sensors. He is also involved in the development of intelligent control systems, renewable energy solutions, and machine learning applications for long-haul optical communication. Additionally, Dr. Armghan has contributed to research on enhancing the security and performance of IoT networks and improving mobile communication systems using advanced modulation techniques. Research Skills Assoc. Prof. Dr. Ammar Armghan possesses a diverse skill set that spans both theoretical knowledge and practical expertise in electronics and communication engineering. He is proficient in various software and tools such as Xilinx ISE, ChipScope, Comsol, Lumerical FDTD, MicroWind, ModelSim, Proteus, and Orcad, which he utilizes for hardware description, simulation, and circuit design. His skills extend to Matlab for advanced computational tasks, including optical communication systems, digital signal processing, and control system design. With a strong foundation in VHDL and FPGA programming, Dr. Armghan has successfully implemented complex designs, such as ADC modeling and low-noise amplifier development. His broad technical capabilities are complemented by his leadership in academic quality assurance, accreditation, and research projects. Award and Recognition Dr. Armghan’s excellence in teaching and research has been recognized through various awards, including the Best Teacher Award at the College of Engineering, Jouf University, and an appreciation certificate from the President of Jouf University for his leadership in achieving NCAAA and ABET accreditation. His international scholarships further attest to his academic prowess and commitment to advancing his field. Conclusion Dr. Ammar Armghan exemplifies the qualities of a leading researcher through his rigorous academic background, impactful research projects, and dedication to teaching. His extensive contributions to the field of Electronics and Communication Engineering, combined with his recognition in academic and professional circles, position him as an outstanding candidate for the Best Researcher Award. Publications Top Notes Backstepping Based Non-linear Control for Maximum Power Point Tracking in Photovoltaic System Authors: H Armghan, I Ahmad, A Armghan, S Khan, M Arsalan Journal: Solar Energy Year: 2018 Volume and Pages: 159, 134-141 Citations: 110 A Deep Neural Network and Classical Features Based Scheme for Objects Recognition: An Application for Machine Inspection Authors: A Armaghan, N Hussain, MA Khan, M Sharif, SA Khan, AA Albesher, … Journal: Multimedia Tools and Applications Year: 2020 Citations: 92 Nonlinear Integral Backstepping Based Control of a DC Microgrid with Renewable Generation and Energy Storage Systems Authors: H Armghan, M Yang, MQ Wang, N Ali, A Armghan Journal: International Journal of Electrical Power & Energy Systems Year: 2019 Volume and Pages: 117, 105613 Citations: 84 5G Technology in Healthcare and Wearable Devices: A Review Authors: DH Devi, K Duraisamy, A Armghan, M Alsharari, K Aliqab, V Sorathiya, … Journal: Sensors Year: 2023 Volume and Issue: 23 (5), 2519 Citations: 80 Design of Integral Terminal Sliding Mode Controller for the Hybrid AC/DC Microgrids Involving Renewables and Energy Storage Systems Authors: H Armghan, M Yang, A Armghan, N Ali, MQ Wang, I Ahmad Journal: International Journal of Electrical Power & Energy Systems Year: 2020 Volume and Pages: 119, 105857 Citations: 79 Human Action Recognition: A Paradigm of Best Deep Learning Features Selection and Serial Based Extended Fusion Authors: S Khan, MA Khan, M Alhaisoni, U Tariq, HS Yong, A Armghan, F Alenezi Journal: Sensors Year: 2021 Citations: 62 A Computer-Aided Diagnosis System Using Deep Learning for Multiclass Skin Lesion Classification Authors: SK Mehak Arshad, Muhammad Attique Khan*, Usman Tariq, Ammar Armghan, Fayadh … Journal: Computational Intelligence and Neuroscience Year: 2021 Citations: 55 Wavelet Transform Based Deep Residual Neural Network and ReLU Based Extreme Learning Machine for Skin Lesion Classification Authors: F Alenezi, A Armghan, K Polat Journal: Expert Systems with Applications Year: 2022 Volume and Pages: 213, 119064 Citations: 54 Ammar Armghan | Electronics and Communications | Best Researcher Award
Assoc. Prof. Dr. Ammar Armghan is an accomplished academic and researcher specializing in Electronics and Communication Engineering. He holds a Ph.D. in Optical Engineering from Huazhong University of Science and Technology (HUST), completed at the Wuhan National Laboratory for Optoelectronics (WNLO) in 2016. Dr. Armghan also earned an MSc in Electronic Communications and Computer Engineering from the University of Nottingham, UK. With a career spanning over a decade, he has held key positions at prestigious institutions such as Jouf University in Saudi Arabia, where he currently serves as an Associate Professor in the Department of Electrical Engineering. His research focuses on high-performance engineering, metamaterials, and optical communications, with numerous funded projects and publications in renowned journals like IEEE Access and Scientific Reports. Dr. Armghan has been recognized with several accolades, including the Best Teacher Award from Jouf University and the Chinese Government Scholarship for his Ph.D. studies. He is also an active member of the Institute of Engineering Technology (UK) and the Pakistan Engineering Council. Profile Scopus Profile Google Scholar Profile ORCID Profile Education Assoc. Prof. Dr. Ammar Armghan completed his Ph.D. in Optical Engineering at the Wuhan National Laboratory for Optoelectronics (WNLO) within the Department of Electrical Engineering at Huazhong University of Science and Technology (HUST) from September 2013 to September 2016. He earned his Master of Science (MSc) in Electronic Communications and Computer Engineering from the University of Nottingham, UK, where he achieved a commendable CGPA of 3.4/4.0, graduating in September 2009. During his MSc studies, Dr. Armghan engaged in projects across several key modules, including Hardware Description Language, Instrumentation and Measurement, Optical Communication, Mobile Communication, RF Microelectronics, and Digital Signal Processing. Prior to his master’s degree, he obtained a Bachelor of Science (BSc) in Electrical Engineering from CIIT, Pakistan, with a CGPA of 3.06/4.0, graduating in July 2006. His undergraduate studies covered essential topics such as Control Systems, Signals and Systems, Network Analysis, VLSI, and Communication Systems. Professional Experience Assoc. Prof. Dr. Ammar Armghan is currently serving as an Associate Professor in the Department of Electrical Engineering at Jouf University, Saudi Arabia. With over a decade of experience in academia, he has held key positions at Jouf University and previously at HITEC University and the University of Faisalabad, Pakistan. Dr. Armghan has been actively involved in research, accreditation, and quality assurance, contributing to several high-impact research projects and leading accreditation efforts for NCAAA and ABET. His expertise spans electrical engineering, project supervision, and academic leadership. Research Interest Assoc. Prof. Dr. Ammar Armghan’s research interests encompass a wide range of topics in electrical engineering, with a focus on advanced metamaterials, optical communications, and wireless networks. His work delves into the design and fabrication of metamaterial devices for energy harvesting and sensing applications, including polarization-insensitive absorbers and high-Q sensors. He is also involved in the development of intelligent control systems, renewable energy solutions, and machine learning applications for long-haul optical communication. Additionally, Dr. Armghan has contributed to research on enhancing the security and performance of IoT networks and improving mobile communication systems using advanced modulation techniques. Research Skills Assoc. Prof. Dr. Ammar Armghan possesses a diverse skill set that spans both theoretical knowledge and practical expertise in electronics and communication engineering. He is proficient in various software and tools such as Xilinx ISE, ChipScope, Comsol, Lumerical FDTD, MicroWind, ModelSim, Proteus, and Orcad, which he utilizes for hardware description, simulation, and circuit design. His skills extend to Matlab for advanced computational tasks, including optical communication systems, digital signal processing, and control system design. With a strong foundation in VHDL and FPGA programming, Dr. Armghan has successfully implemented complex designs, such as ADC modeling and low-noise amplifier development. His broad technical capabilities are complemented by his leadership in academic quality assurance, accreditation, and research projects. Award and Recognition Dr. Armghan’s excellence in teaching and research has been recognized through various awards, including the Best Teacher Award at the College of Engineering, Jouf University, and an appreciation certificate from the President of Jouf University for his leadership in achieving NCAAA and ABET accreditation. His international scholarships further attest to his academic prowess and commitment to advancing his field. Conclusion Dr. Ammar Armghan exemplifies the qualities of a leading researcher through his rigorous academic background, impactful research projects, and dedication to teaching. His extensive contributions to the field of Electronics and Communication Engineering, combined with his recognition in academic and professional circles, position him as an outstanding candidate for the Best Researcher Award. Publications Top Notes Backstepping Based Non-linear Control for Maximum Power Point Tracking in Photovoltaic System Authors: H Armghan, I Ahmad, A Armghan, S Khan, M Arsalan Journal: Solar Energy Year: 2018 Volume and Pages: 159, 134-141 Citations: 110 A Deep Neural Network and Classical Features Based Scheme for Objects Recognition: An Application for Machine Inspection Authors: A Armaghan, N Hussain, MA Khan, M Sharif, SA Khan, AA Albesher, … Journal: Multimedia Tools and Applications Year: 2020 Citations: 92 Nonlinear Integral Backstepping Based Control of a DC Microgrid with Renewable Generation and Energy Storage Systems Authors: H Armghan, M Yang, MQ Wang, N Ali, A Armghan Journal: International Journal of Electrical Power & Energy Systems Year: 2019 Volume and Pages: 117, 105613 Citations: 84 5G Technology in Healthcare and Wearable Devices: A Review Authors: DH Devi, K Duraisamy, A Armghan, M Alsharari, K Aliqab, V Sorathiya, … Journal: Sensors Year: 2023 Volume and Issue: 23 (5), 2519 Citations: 80 Design of Integral Terminal Sliding Mode Controller for the Hybrid AC/DC Microgrids Involving Renewables and Energy Storage Systems Authors: H Armghan, M Yang, A Armghan, N Ali, MQ Wang, I Ahmad Journal: International Journal of Electrical Power & Energy Systems Year: 2020 Volume and Pages: 119, 105857 Citations: 79 Human Action Recognition: A Paradigm of Best Deep Learning Features Selection and Serial Based Extended Fusion Authors: S Khan, MA Khan, M Alhaisoni, U Tariq, HS Yong, A Armghan, F Alenezi Journal: Sensors Year: 2021 Citations: 62 A Computer-Aided Diagnosis System Using Deep Learning for Multiclass Skin Lesion Classification Authors: SK Mehak Arshad, Muhammad Attique Khan*, Usman Tariq, Ammar Armghan, Fayadh … Journal: Computational Intelligence and Neuroscience Year: 2021 Citations: 55 Wavelet Transform Based Deep Residual Neural Network and ReLU Based Extreme Learning Machine for Skin Lesion Classification Authors: F Alenezi, A Armghan, K Polat Journal: Expert Systems with Applications Year: 2022 Volume and Pages: 213, 119064 Citations: 54
Backstepping Based Non-linear Control for Maximum Power Point Tracking in Photovoltaic System Authors: H Armghan, I Ahmad, A Armghan, S Khan, M Arsalan Journal: Solar Energy Year: 2018 Volume and Pages: 159, 134-141 Citations: 110 A Deep Neural Network and Classical Features Based Scheme for Objects Recognition: An Application for Machine Inspection Authors: A Armaghan, N Hussain, MA Khan, M Sharif, SA Khan, AA Albesher, … Journal: Multimedia Tools and Applications Year: 2020 Citations: 92 Nonlinear Integral Backstepping Based Control of a DC Microgrid with Renewable Generation and Energy Storage Systems Authors: H Armghan, M Yang, MQ Wang, N Ali, A Armghan Journal: International Journal of Electrical Power & Energy Systems Year: 2019 Volume and Pages: 117, 105613 Citations: 84 5G Technology in Healthcare and Wearable Devices: A Review Authors: DH Devi, K Duraisamy, A Armghan, M Alsharari, K Aliqab, V Sorathiya, … Journal: Sensors Year: 2023 Volume and Issue: 23 (5), 2519 Citations: 80 Design of Integral Terminal Sliding Mode Controller for the Hybrid AC/DC Microgrids Involving Renewables and Energy Storage Systems Authors: H Armghan, M Yang, A Armghan, N Ali, MQ Wang, I Ahmad Journal: International Journal of Electrical Power & Energy Systems Year: 2020 Volume and Pages: 119, 105857 Citations: 79 Human Action Recognition: A Paradigm of Best Deep Learning Features Selection and Serial Based Extended Fusion Authors: S Khan, MA Khan, M Alhaisoni, U Tariq, HS Yong, A Armghan, F Alenezi Journal: Sensors Year: 2021 Citations: 62 A Computer-Aided Diagnosis System Using Deep Learning for Multiclass Skin Lesion Classification Authors: SK Mehak Arshad, Muhammad Attique Khan*, Usman Tariq, Ammar Armghan, Fayadh … Journal: Computational Intelligence and Neuroscience Year: 2021 Citations: 55 Wavelet Transform Based Deep Residual Neural Network and ReLU Based Extreme Learning Machine for Skin Lesion Classification Authors: F Alenezi, A Armghan, K Polat Journal: Expert Systems with Applications Year: 2022 Volume and Pages: 213, 119064 Citations: 54