HUY NGUYEN | Communication Engineering | Best Researcher Award

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Dr. HUY NGUYEN | Communication Engineering | Best Researcher Award

Researcher at Kookmin University, Vietnam.

Nguyen Ngoc Huy is a dedicated researcher specializing in microprocessors, semiconductors, embedded systems, and optical communication technologies. Currently serving as a Senior Researcher at the Wireless Communications and Artificial Intelligence Lab at Kookmin University, he leads projects on optical wireless communication systems for drone networks. Huy has excelled academically, achieving high distinctions in his studies, including a Ph.D. in Electronics Engineering, and he has received multiple awards for academic excellence. His research contributions include several SCI papers and over 30 patents, reflecting his innovative approach to deep learning applications in optical camera communication and LiFi systems. Additionally, Huy has actively participated in the IEEE 802.15.7a Task Group as a technical editor, underscoring his commitment to advancing telecommunications standards. With strong programming skills and extensive research experience, he is poised to make significant impacts in the fields of wireless communications and artificial intelligence.

Profile:

Education

Nguyen Ngoc Huy has an impressive educational background in Electronics Engineering. He is currently pursuing his Ph.D. at Kookmin University, Seoul, Korea, at the Wireless Communications and Artificial Intelligence Lab, where he has achieved an excellent GPA of 4.25/4.5. His research focuses on advanced topics such as Optical Camera Communication and Deep Learning for vehicular applications. Prior to his doctoral studies, Huy earned a Master’s degree from the same lab at Kookmin University, maintaining a remarkable GPA of 4.37/4.5. His academic journey began with a Bachelor’s degree in Electronics and Communications from the Hanoi University of Science and Technology (HUST), Vietnam, where he graduated with distinction, earning a GPA of 3.24/4.0. Throughout his educational pursuits, Huy has consistently demonstrated dedication and excellence, receiving multiple awards for academic achievements, including accolades for both his Master’s and Ph.D. studies.

Professional Experiences 

Nguyen Ngoc Huy is currently a Senior Researcher at the Wireless Communications and Artificial Intelligence Lab at Kookmin University, where he leads the Optical Camera Communication (OCC) team for a Drone Network Project. His responsibilities include the design and implementation of optical wireless communication systems and the development of hardware and software for OCC, LiFi, and Free Space Optical (FSO) systems. As a Ph.D. student at the same lab from 2020 to 2023, Huy focused on deep learning applications in communication systems, culminating in his thesis on “Optical Camera Communication and Multi-sensor Fusion on Deep Learning for Vehicular Applications.” He has previously served as an Assistant Teacher and Researcher at the Radio Frequency and Microwave Laboratory at Hanoi University of Science and Technology, where he supported undergraduate education and contributed to projects involving the Internet of Things (IoT) and wireless sensor networks. His extensive experience is complemented by a strong publication record and contributions to international patents and standards.

Research Interests

Nguyen Ngoc Huy’s research interests encompass a broad spectrum within the field of electronics engineering, focusing on cutting-edge technologies such as microprocessors, semiconductors, and embedded systems. He is particularly passionate about optical communication, specifically Optical Camera Communication (OCC), Light Fidelity (LiFi), and Free Space Optical (FSO) systems, which have transformative potential in wireless communications. Huy integrates advanced signal processing and image processing techniques with artificial intelligence to enhance the performance and efficiency of these systems. His work includes designing and implementing innovative solutions for long-distance communication applications, as well as developing deep learning models for object detection and channel estimation. By contributing to significant projects like the Drone Network Project, Huy aims to push the boundaries of wireless communication technologies, making them more robust and adaptable for future applications in various industries. His commitment to advancing these fields positions him as a valuable contributor to ongoing research and development efforts.

Research Skills 

Nguyen Ngoc Huy possesses a diverse set of research skills that span various aspects of electronics engineering and communication technologies. His expertise in designing and implementing Optical Camera Communication (OCC) systems showcases his proficiency in both hardware and software development. Huy’s experience in signal processing, particularly in deep learning applications for object detection and channel estimation, highlights his ability to integrate advanced technologies into practical solutions. He has demonstrated significant contributions to international journals, patents, and technical standards, underscoring his research capability in cutting-edge topics such as LiFi and Free Space Optical (FSO) systems. His role as a Technical Editor in the IEEE 802.15.7a Task Group further reflects his strong understanding of industry standards and collaboration within the scientific community. With a solid foundation in programming languages, engineering tools, and practical knowledge of wireless sensor networks, Huy is well-equipped to tackle complex research challenges in his field.

Award and Recognition 

Nguyen Ngoc Huy has received multiple awards and recognitions throughout his academic journey, highlighting his dedication and excellence in the field of Electronics Engineering. In August 2023, he was honored with the Award for Academic Excellence for Ph.D. Students from Kookmin University, reflecting his outstanding performance during his doctoral studies. Prior to this, he was awarded the Academic Excellence Award for Master’s Students in August 2020, further underscoring his commitment to academic excellence. His achievements are complemented by a Merit Certificate for Very Good Graduation from Hanoi University of Science and Technology in 2017, along with several scholarships awarded during his undergraduate studies. Huy’s contributions to research, particularly in optical wireless communication and deep learning applications, have also led to numerous publications in international journals, further establishing him as a respected researcher in his field. His accolades serve as a testament to his hard work, innovation, and impactful contributions to technology.

Conclusion

Nguyen Ngoc Huy stands out as a strong candidate for the Research for Best Researcher Award due to his remarkable academic achievements, extensive research experience, significant contributions to international journals and patents, and professional involvement in standardization efforts. While there are areas for improvement, such as language proficiency and networking, his strengths far outweigh these considerations. Recognizing him with this award would not only honor his accomplishments but also encourage further innovation and research excellence in the fields of electronics and communications.

Publication Top Notes
  • Rolling OFDM for Image Sensor Based Optical Wireless Communication
    • Authors: H Nguyen, MD Thieu, T Nguyen, YM Jang
    • Year: 2019
    • Journal: IEEE Photonics Journal, 11(4), 1-17
  • The Impact of Camera Parameters on Optical Camera Communication
    • Authors: H Nguyen, MD Thieu, TL Pham, H Nguyen, YM Jang
    • Year: 2019
    • Conference: 2019 International Conference on Artificial Intelligence in Information and Communication Technology
  • Low Power Wide Area Network Technologies for Smart Cities Applications
    • Authors: TL Pham, H Nguyen, H Nguyen, V Bui, YM Jang
    • Year: 2019
    • Conference: 2019 International Conference on Information and Communication Technology
  • Design and Implementation of the MIMO–COOK Scheme Using an Image Sensor for Long-Range Communication
    • Authors: VH Nguyen, MD Thieu, H Nguyen, YM Jang
    • Year: 2020
    • Journal: Sensors, 20(8), 2258
  • Design and Implementation of 2D MIMO-Based Optical Camera Communication Using a Light-Emitting Diode Array for Long-Range Monitoring System
    • Authors: H Nguyen, V Nguyen, C Nguyen, V Bui, Y Jang
    • Year: 2021
    • Journal: Sensors, 21(9), 3023
  • Design of MIMO C-OOK using Matched filter for Optical Camera Communication System
    • Authors: H Nguyen, YM Jang
    • Year: 2021
    • Conference: 2021 International Conference on Artificial Intelligence in Information and Communication Technology
  • Rolling MIMO-OFDM for Optical Camera Communication System
    • Authors: H Nguyen, TL Pham, H Nguyen, YM Jang
    • Year: 2020
    • Conference: 2020 International Conference on Artificial Intelligence in Information and Communication Technology
  • A Novel Neural Network-Based Method for Decoding and Detecting of the DS8-PSK Scheme in an OCC System
    • Authors: TL Pham, H Nguyen, T Nguyen, YM Jang
    • Year: 2019
    • Journal: Applied Sciences, 9(11), 2242
  • An Experimental Demonstration of MIMO C-OOK Scheme Based on Deep Learning for Optical Camera Communication System
    • Authors: VL Nguyen, DH Tran, H Nguyen, YM Jang
    • Year: 2022
    • Journal: Applied Sciences, 12(14), 6935
  • Trade-off Communication distance and Data rate of Rolling shutter OCC
    • Authors: H Nguyen, TL Pham, H Nguyen, YM Jang
    • Year: 2019
    • Conference: 2019 Eleventh International Conference on Ubiquitous and Future Networks

 

 

 

Ammar Armghan | Electronics and Communications | Best Researcher Award

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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

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