Samiullah Yousaf | Sensor Networks | Innovative Research Award

Published on by Electrical Engineering

Innovative Research Award

Samiullah Yousaf
Affiliation Università degli Studi di Napoli
Country Italy
Documents 5
Citations 5
h-index 1
Subject Area Sensor Networks
Event World Electrical Engineering Awards
ORCID 0000-0001-9444-0063

Samiullah Yousaf is affiliated with the Università degli Studi di Napoli, Italy, and is recognized for scholarly contributions in the field of sensor networks, microwave sensing, radar systems, and electromagnetic engineering research. His academic activities reflect participation in engineering-oriented scientific investigations involving communication systems, remote sensing methodologies, microwave technologies, and applied computational analysis.[1] The available research indicators demonstrate indexed publication activity and measurable scholarly dissemination within international engineering research communities.[2]

Abstract

This article presents an academic recognition overview of Samiullah Yousaf and highlights scholarly activities associated with sensor networks, microwave sensing technologies, electromagnetic scattering analysis, and radar measurement systems.[1] The article further evaluates publication metrics, technical contributions, and professional relevance within the context of contemporary engineering and communication-oriented research disciplines.

Keywords

Sensor Networks; Microwave Engineering; Radar Systems; Electromagnetic Scattering; Communication Technologies; Scientific Publications; Engineering Research; Citation Analysis; Remote Sensing; Applied Physics.

Introduction

Engineering recognition programs commonly evaluate researchers based on publication activity, technical contribution, citation impact, and engagement with scientific advancement.microwave sensing technologies, and communication engineering. The available academic indicators further support measurable involvement in professional engineering research environments.[4]

Research Profile

According to the available academic profile information, Samiullah Yousaf has contributed to indexed research publications associated with electromagnetic analysis, vegetation sensing systems, radar technologies, and microwave engineering methodologies.[3] The documented publication profile demonstrates measurable scholarly engagement and participation in scientific communication activities within engineering and communication-related disciplines.

Research Contributions

Research involving microwave sensing systems and electromagnetic analysis contributes significantly to modern engineering applications including engineering.[4] Publication activities within peer-reviewed engineering environments support scientific communication, technical development, and academic collaboration across interdisciplinary technological fields.[5]

Publications

The indexed publication profile associated with Samiullah Yousaf demonstrates measurable involvement in scholarly engineering communication and technical research dissemination. Academic publications remain essential indicators of research engagement, collaborative participation, and scientific contribution within engineering disciplines.[3]  Intelligent sensing architectures.[4]

Research Impact

Citation records and indexed publication visibility provide measurable evidence of academic dissemination and scholarly engagement. The available citation indicators associated with Samiullah Yousaf suggest recognition within related scientific and engineering research communities.[1] Distributed sensing technologies, automotive radar systems, environmental monitoring, and electromagnetic analysis.[5]

Award Suitability

Based on the available scholarly indicators, Samiullah Yousaf demonstrates characteristics commonly associated with professional engineering recognition programs, including indexed publication activity, measurable citation performance, and subject specialization within sensor networks, microwave engineering, and radar technologies.

Conclusion

Samiullah Yousaf’s academic profile reflects active participation in engineering-oriented scientific research associated with microwave sensing, radar technologies, and communication systems. The documented publication metrics, citation visibility, and institutional affiliation demonstrate measurable scholarly contribution within interdisciplinary engineering research domains.[1] .

References

  1. Google Scholar. (n.d.). Google Scholar profile record for Samiullah Yousaf.
    https://scholar.google.com/citations?user=2fzoUM4AAAAJ&hl=en
  2. ORCID. (n.d.). ORCID profile record for Samiullah Yousaf.
    https://orcid.org/0000-0001-9444-0063
  3. Yousaf, S., & Naqvi, Q. A. (2021). Scattering from a PEMC strip deeply buried beneath a dielectric slab using Kobayashi potential method. The European Physical Journal Plus, 136(5), 1-14.
    https://doi.org/10.1140/epjp/s13360-021-01472-8
  4. Yousaf, S., Iqbal, M. A., Buono, A., Nunziata, F., & Migliaccio, M. (2024). Active Microwave Sensors for Vegetation Water Content Estimation. 2024 IEEE International Humanitarian Technologies Conference (IHTC), 1-6.
    https://doi.org/10.1109/IHTC62047.2024.10601258
  5. Yousaf, S., Setale, E., Sorrentino, A., Fanti, A., Buono, A., & Migliaccio, M. (2026). A Novel Noise Environmental Measurement Removal Technique for mmW Automotive Radar Measurements. Applied Sciences, 16(5), 2431.
    https://doi.org/10.3390/app16052431

Lei Guan | Machine Learning | Research Excellence Award

Published on by Electrical Engineering

Mr. Lei Guan | Machine Learning | Research Excellence Award

Director | China Academy of Safety Science and Technology | China

Lei Guan is a Director and Professor at the Risk Monitoring and Early Warning Center, China Academy of Safety Science and Technology, with expertise in risk monitoring, early warning systems, artificial intelligence, and industrial safety engineering. He holds a Bachelor’s degree in Materials Science and Master’s and Doctoral degrees in Mechanical Engineering with specialization in precision instruments and safety-related systems. He has led major national and ministerial research programs, directed key laboratories and professional committees, supervised graduate researchers, and provided technical leadership for large-scale industrial and governmental safety initiatives. His research focuses on intelligent work safety systems, industrial internet applications, digital twins, data-driven risk modeling, and emergency management, with sustained contributions through peer-reviewed publications, patents, and standards development. His scholarly impact is reflected in 18 citations, an h-index of 3, and 13 published articles.

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Featured Publications

Numerical simulation of the double pits stress concentration in a curved casing inner surface
W. Yan, L. Guan, Y. Xu, J.G. Deng – Advances in Mechanical Engineering, 9(1) (3 citations)

Safety monitoring and management system for fluid catalytic cracking (FCC) process
L. Fang, Z. Wu, L. Wei, R. Kang, L. Guan – International Conference on Information and Automation (3 citations)

Study on SVM-based Flame Recognition and Fire Warning for Cotton and Linen Warehouses
X. Zhao, S. Hao, L. Guan, Y. Wang, Q. Zhao, D. Lv – IEEE Conference on Advances in Electrical Engineering (2 citations)

Industrial Internet of Things (IIoT) Identity Resolution Techniques: A Review
C. Dai, H. Li, L. Guan, M. Chi – IEEE BigDataSecurity (1 citation)

Qiaoning Yang | Signal & Image Processing | Best Researcher Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Qiaoning Yang | Signal & Image Processing | Best Researcher Award

Associate Professor | Beijing University of Chemical Technology | China

Qiaoning Yang is an Associate Professor at the College of Information Science, Beijing University of Chemical Technology, with expertise spanning control science and engineering, signal and information processing, image processing, deep learning, and computer vision. She earned her doctoral degree with a specialization in control science and engineering and has developed a sustained academic career combining teaching, research, and applied innovation within a leading technological institution. Her contributions have advanced the integration of signal processing, image analysis, and computer vision into real-world engineering solutions across industry and applied technology domains. She is a professional member of the China Society of Image and Graphics and is recognized for her sustained research excellence, interdisciplinary innovation, and commitment to advancing intelligent engineering systems, with a scholarly impact reflected by 436 citations, an h-index of 8, and an i10-index of 7.

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Featured Publications

Deep convolution neural network-based transfer learning method for civil infrastructure crack detection
Q. Yang, W. Shi, J. Chen, W. Lin – Automation in Construction (221 citations)
Human posture recognition and fall detection using Kinect V2 camera
Y. Xu, J. Chen, Q. Yang, Q. Guo – Chinese Control Conference (41 citations)
Real-time comprehensive image processing system for detecting concrete bridges crack
W. Lin, Y. Sun, Q. Yang, Y. Lin – Computers and Concrete (15 citations)

Qingguo Lü | Electrical Engineering  | Research Excellence Award

Published on by Electrical Engineering

Dr. Qingguo Lü | Electrical Engineering  | Research Excellence Award

Associate Researcher | Chongqing University | China

Qingguo Lü is an Associate Researcher at Chongqing University specializing in distributed optimization, privacy-preserving machine learning, and smart grid systems. He earned his doctoral degree in computer science and technology with a strong focus on optimization theory and networked systems and subsequently advanced his expertise through postdoctoral research and international academic collaboration.  His scholarly contributions have delivered both theoretical advances and practical engineering solutions, achieving strong international visibility and impact. His academic influence is reflected by 1,174 citations, an h-index of 18, and an i10-index of 26. In recognition of his expertise and service, he holds multiple editorial and guest editorial appointments in international journals, serves on conference program committees, contributes extensively to peer review, holds innovation patents, and maintains professional standing as an IEEE Senior Member, demonstrating sustained excellence in research, leadership, and academic service suitable for a prestigious research award.

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Featured Publications

Distributed projection subgradient algorithm over time-varying general unbalanced directed graphs
H. Li, Q. Liu, T. Huang – IEEE Transactions on Automatic Control · Citations: 115
Accelerated convergence algorithm for distributed constrained optimization under time-varying general directed graphs
H. Li, Q. Lü, X. Liao, T. Huang – IEEE Transactions on Systems, Man, and Cybernetics: Systems · Citations: 104
Achieving acceleration for distributed economic dispatch in smart grids over directed networks
Q. Liu, X. Liao, H. Li, T. Huang – IEEE Transactions on Network Science and Engineering · Citations: 100
Convergence analysis of a distributed optimization algorithm with a general unbalanced directed communication network
H. Li, Q. Liu, T. Huang – IEEE Transactions on Network Science and Engineering · Citations: 96
Privacy masking stochastic subgradient-push algorithm for distributed online optimization
Q. Lü, X. Liao, T. Xiang, H. Li, T. Huang – IEEE Transactions on Cybernetics · Citations: 80

Prof. Xubin Liu | Smart Grids and Microgrids | Editorial Board Member

Published on by Electrical Engineering

Prof. Xubin Liu | Smart Grids and Microgrids | Editorial Board Member

Professor | Central South University | China

Dr. Xubin Liu is a postdoctoral researcher in Electrical Engineering at the School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, specializing in power systems, renewable energy integration, and microgrid control. He holds a Ph.D. in Electrical Engineering from Hunan University with joint doctoral training at Tsinghua University, preceded by a bachelor’s degree in Electrical Engineering from Northwest University for Nationalities. His professional experience includes leading and contributing to advanced research projects on intelligent distribution networks, multi-energy systems, frequency–voltage coordination, fault current management, energy storage control, and real-time simulation platforms for active distribution networks. Dr. Liu’s research focuses on integrated energy systems, renewable energy dispatch, microgrid stability, advanced control strategies, and data-driven forecasting, reflected in numerous publications in high-impact IEEE and international journals. He has served as a reviewer for leading journals and as a member of editorial boards, contributing to the scientific community through peer review and academic engagement. His achievements have been recognized through multiple national scholarships, provincial honors, competition awards, and distinctions for academic excellence. He has also participated in major national and international collaborative projects involving intelligent grid systems, clean energy integration, and enterprise-level energy internet technologies. Dr. Liu continues to advance the fields of smart grids, energy optimization, and power electronic control through innovative research, project leadership, and active participation in professional societies.

Profile: ORCID

Featured Publications

Xubin Liu*, Frequency-Voltage synergy support method based on grid strength for VSC-MTDC integrated distributed offshore wind farms. IEEE Trans. Power Syst., 2025, 40(4), 3543–3562.

Xubin Liu*, A coordinated voltage-frequency support method for VSC-MTDC integrated offshore wind farms system. IEEE Trans. Power Syst., 2024, 39(1), 1485–1502.

Xubin Liu*, Fault current unified calculation method for whole-process fault ride-through of DFIG-based wind farms. IEEE Trans. Smart Grid, 2024, 15(1), 485–503.

Xubin Liu*, Active fault current limitation for VSC-MTDC integrated offshore wind farms participating in frequency regulation. IEEE Trans. Sustain. Energy, 2024, 15(2), 773–788.

Xubin Liu*, Fault current multi-stages calculation method for DFIG-based wind farms with whole fault-process attributes under asymmetrical grid-fault conditions. IEEE Trans. Sustain. Energy, 2024, 15(4), 2361–2379.

Mohamed Taieb Krakdia | Smart Grids and Microgrids | Innovative Research Award

Published on by Electrical Engineering

Mr. Mohamed Taieb Krakdia | Smart Grids and Microgrids | Innovative Research Award

Mohamed Taieb Krakdia | Proceeds, Energies, Environment and Electrical Systems (PEESE) | Tunisia

Mr. Mohamed Taieb Krakdia is a Distinguished Senior Professor at the Ministry of Education, Tunisia, specializing in electrical engineering and renewable energy systems. He holds a Master’s degree in Electrical Engineering from Université Elhadj Lakhder, Algeria, and a Professional Master’s in Renewable Energies and Energy Efficiency from ISET Tunisia, and is currently pursuing doctoral research focused on optimizing renewable energy resources in microgrids. His professional career spans over two decades, during which he has served as Senior Professor Emeritus, Principal Teacher, and Senior Secondary School Teacher, contributing extensively to academic instruction, curriculum development, and mentoring of future engineers. His research interests include microgrid optimization, renewable energy integration, and advanced control systems, resulting in notable publications such as studies on sliding-mode and Lyapunov-based control for DC microgrids and hybrid photovoltaic-wind generation systems with fuel cells and battery storage. Mohamed Taieb’s contributions extend beyond teaching and research, including leadership in educational programs, project development, and participation in professional knowledge-sharing platforms. He has been recognized for his academic excellence through professional certifications such as CAPES and has engaged in editorial and peer-review activities, further strengthening the research community. His dedication to innovation, research, and education positions him as a valuable contributor to advancing sustainable energy technologies and academic excellence.

Profile: ORCID

Featured Publications

Krakdia, M.T.*, Sliding-Mode and Lyapunov Function Based Control for a DC Microgrid with Renewable Generation, a Solid Oxide Fuel Cell and Battery Storage. In: Advances in Renewable Energy Systems, Springer, 2024, DOI:10.1007/978-981-97-6148-7_16.

Krakdia, M.T.*, Control for a DC Microgrid for Photovoltaic–Wind Generation with a Solid Oxide Fuel Cell, Battery Storage, Dump Load (Aqua-Electrolyzer) and Three-Phase Four-Leg Inverter (4L4W). Clean Technol., 2025, 7(3), 79

Krakdia, M.T., Optimization of Renewable Energy Resources in a Microgrid (PhD Research Work). ENIG, Tunisia, 2020.

Krakdia, M.T., Renewable Energies and Energy Efficiency: Professional Master’s Thesis, ISET Sidi Bouzid, Tunisia, 2019.

Krakdia, M.T., Electrical Engineering Engineer’s Thesis. Université Elhadj Lakhder Batna, Algeria, 2008.