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

Hui Zhang | Mechanical and Electronic Engineering | Best Innovator Award

Published on by Electrical Engineering

Dr. Hui Zhang | Mechanical and Electronic Engineering | Best Innovator Award

Lecturer | Nanjing Forestry University | China

Hui Zhang is a Lecturer at Nanjing Forestry University and a researcher specializing in soft robotics, with expertise in flexible materials, biomimetic structures, and intelligent robotic systems. He holds advanced academic degrees with specialization in robotics and interdisciplinary engineering. His professional experience includes serving as principal investigator on nationally funded research projects, leading innovative research initiatives, teaching robotics-related courses, and supervising graduate students while integrating research with education. His research focuses on soft robotic actuation, flexible drive mechanisms, and intelligent sensing, resulting in extensive publications, books, and patented technologies that advance robotic performance and adaptability. His contributions are recognized through competitive research grants, editorial appointments, international conference collaborations, and professional memberships in leading engineering societies. His scholarly impact is reflected by 45 publications, 449 citations, and an h-index of 11.

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Featured Publications

Free fatty acids as a marker for predicting periprocedural myocardial injury after coronary intervention
Yu Wang, Hui-Wen Zhang, Yuan-Lin Guo, Cheng-Gang Zhu, Na-Qiong Wu, Jian-Jun Li
Journal Article · Cardiology · 2019

Clinical evaluation of prostate cancer gene 3 score in diagnosis among Chinese men with prostate cancer and benign prostatic hyperplasia
Jin Huang, Hui-Zhen Zhang, Hai-Bo Wang, Kathleen H. Reilly
Journal Article · Oncology · 2015

Prevalence of Liddle Syndrome Among Young Hypertension Patients of Undetermined Cause in a Chinese Population
Lin-Ping Wang, Kun-Qi Yang, Xiong-Jing Jiang, Hai-Ying Wu, Hui-Min Zhang, Yu-Bao Zou, Lei Song, Jin Bian, Ru-Tai Hui, Ya-Xin Liu, Xian-Liang Zhou
Journal Article · Cardiology / Genetics · 2015

Transforming growth factor-β1 induces epithelial-to-mesenchymal transition in human lung cancer cells via PI3K/Akt and MEK/Erk1/2 signaling pathways
Xiao-Feng Chen, Hui-Jun Zhang, Hai-Bing Wang, Jun Zhu, Wen-Yong Zhou, Hui Zhang, Ming-Chuan Zhao, Jin-Mei Su, Wen Gao, Lei Zhang, Ke Fei, Hong-Tao Zhang, He-Yong Wang
Molecular Biology Reports · Oncology / Molecular Biology · 2012

Ning Zhang | Signal & Image Processing | Research Excellence Award

Published on by Electrical Engineering

Dr. Ning Zhang | Signal & Image Processing | Research Excellence Award

Postdoctor | Beijing institute of technology | China

Ning Zhang is a researcher in deep learning and remote sensing at the Beijing Institute of Technology, with expertise in computer vision, real-time processing, and onboard intelligent systems. He holds bachelor’s, master’s, and doctoral degrees in electronic information and information and communication engineering, with specialized training in lightweight neural networks and FPGA-based algorithm–hardware co-design. His professional experience includes leading and contributing to nationally funded and institutional projects focused on airborne and satellite AI deployment, where he has played key roles in algorithm development, system architecture design, and technical leadership. His research centers on remote sensing scene classification, object detection, model compression, and energy-efficient neural network accelerators, resulting in high-impact publications in leading IEEE journals, multiple authorized and accepted patents, and a citation record of 337 citations with an h-index of 9 and an i10-index of 8. He has received numerous prestigious scholarships, graduate honors, national-level competition awards, and maintains active engagement in academic and professional communities.

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Featured Publications


UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes
S. Ni, D. Wang, H. Chen, H. Guo, N. Zhang, J. Zhang
arXiv Preprint · Open-World Geospatial Segmentation


S2Net: Spatial-aligned and Semantic-discriminative Network for Remote Sensing Object Detection
J. Yao, H. Chen, Y. Xie, N. Zhang, M. Yang, L. Chen
IEEE Transactions on Geoscience and Remote Sensing · Top-Tier Journal


High-throughput Energy-efficient Accelerator with Collaborative-Trainable Sparse-Quantization Method for On-Board Remote Sensing Processing
T. Wang, H. Chen, N. Zhang, S. Ni, X. Zhang, L. Chen, W. Li
IEEE Transactions on Geoscience and Remote Sensing · Energy-Efficient AI Hardware


High-Throughput and Energy-Efficient FPGA-Based Accelerator for All Adder Neural Networks
N. Zhang, S. Ni, L. Chen, T. Wang, H. Chen
IEEE Internet of Things Journal · FPGA Acceleration


Q-A2NN: Quantized All-Adder Neural Networks for Onboard Remote Sensing Scene Classification
N. Zhang, H. Chen, L. Chen, J. Wang, G. Wang, W. Liu
Remote Sensing · Lightweight Neural Networks

Beomju Kim | System Strength | Research Excellence Award

Published on by Electrical Engineering

Mr. Beomju Kim | System Strength | Research Excellence Award

Korea University | South Korea

Kim Beomju is a Ph.D. integrated program researcher in the Department of Electrical and Electronic Engineering at Korea University, specializing in power and energy systems. He holds a bachelor’s degree in electrical engineering and is engaged in advanced doctoral research addressing contemporary power system challenges. His professional experience includes contributions to nationally and industry funded projects on HVDC operation and stability, offshore wind integration, power system inertia estimation, and grid robustness and flexibility assessment, with collaborative roles involving major energy institutions. His research focuses on power system stability and dynamics, renewable energy integration, and low inertia grid operation, resulting in peer reviewed journal publications, patented technologies, and registered software. His scholarly output comprises 6 research documents with 4 citations and an h index of 1, reflecting emerging academic impact, and he is a professional member of the Korean Institute of Electrical Engineers.

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Featured Publications

Grid Connection Studies for Large-Scale Offshore Wind Farms Considering High Penetration of Regional Renewables
N. Choi, B. Kim, D. Kim, B. Park, S. Kim, B. Lee
Sustainability, Vol. 14, No. 2, Article 1015

A Study on the System Strength Evaluation Index Considering the Interaction Between Renewable Energy
B. Kim, S. Im, B. Lee
IEEE International Conference on Advanced Power System Automation and Protection

RMS-Based PLL Stability Limit Estimation Using Maximum Phase Error for Power System Planning in Weak Grids
B. Kim, J. Park, S. Oh, H. Cho, B. Lee
Energies, Vol. 19, No. 1, Article 281

Implementation of a Local Renewable Management System for Increasing RES While Securing Stability in KEPCO’s Regional Power System
J. Park, B. Kim, B. Lee, S. Park, J. Shin, B. Park
International Journal of Electrical Power & Energy Systems, Vol. 172, Article 111337

Kristaq Hazizi | Automotive Engineering | Research Excellence Award

Published on by Electrical Engineering

Dr. Kristaq Hazizi | Automotive Engineering | Research Excellence Award

Lecture | Coventry University | United Kingdom

Dr. Kristaq Hazizi is a Lecturer in Automotive and Mechanical Engineering at Coventry University, specializing in automotive systems, turbocharging, fluid dynamics, and computational engineering. He holds doctoral and master’s degrees in mechanical and automotive engineering, with advanced training in computational fluid dynamics, finite element analysis, and academic practice. Dr. Hazizi has achieved scholarly impact with 41 citations, an h-index of 3, and an i10-index of 1, and actively contributes to academia through teaching excellence, research dissemination, and engagement with professional engineering communities.

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Featured Publications


Numerical Analysis of a Turbocharger Compressor
K. Hazizi, A. Ramezanpour, A. Costall, M. Asadi
Conference Paper · E3S Web of Conferences


Numerical Optimisation of the Diffuser in a Typical Turbocharger Compressor Using the Adjoint Method
K. Hazizi, A. Ramezanpour, A. Costall
Journal Article · Automotive and Engine Technology


Design, Construction, and Simulation-Based Validation of a High-Efficiency Electric Powertrain for a Shell Eco-Marathon Urban Concept Vehicle
K. Hazizi, S. Erateb, A. D. Carri, J. Jones, S. Sam, R. Yau, S. H. Leung
Journal Article · Designs


Analytical and Numerical Investigation of Fatigue Life in Rectangular Plates with Opposite Semicircular Edge Single Notches
K. Hazizi, M. Ghaleeh, S. Rasool
Journal Article · Fracture and Structural Integrity

Dennis Ocholla | Information Science | Research Excellence Award

Published on by Electrical Engineering

Prof. Dennis Ocholla | Information Science | Research Excellence Award

Senior Professor | Univerasity of Zululand | South Africa

Professor Dennis N. Ocholla is a distinguished Professor of Information Studies at the University of Zululand, specializing in Library and Information Science with expertise in information seeking, knowledge management, applied bibliometrics, ICT4D, and information ethics. He holds advanced degrees in library and information studies, forming the foundation of a prolific academic career marked by senior professorial appointments, departmental leadership, research mentorship, and international scholarly engagement. His research addresses LIS education, indigenous knowledge, research visibility, information ethics, and digital transformation, with an extensive record of high-impact publications that have shaped scholarship and policy in Africa and globally. His academic influence is evidenced by 4,371 citations, an h-index of 37, and an i10-index of 96. His contributions are further recognized through prestigious research awards, professional honors, editorial leadership of leading journals, and active membership in prominent national and international scholarly bodies.

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Featured Publications

Marginalized Knowledge: An Agenda for Indigenous Knowledge Development and Integration with Other Forms of Knowledge
D. N. Ocholla
The International Review of Information Ethics · Citations: 204

Information Seeking Behavior of the Informal Sector Entrepreneurs: The Uganda Experience
R. Ikoja-Odongo, D. N. Ocholla
Library & Information Science Research · Citations: 112

Soodeh Hosseini | Machine Learning | Research Excellence Award

Published on by Electrical Engineering

Prof. Dr. Soodeh Hosseini | Machine Learning | Research Excellence Award

Corresponding Author | Shahid Bahonar University of Kerman | Iran

Dr. Soodeh Hosseini is an Associate Professor of Computer Science at the Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, specializing in artificial intelligence, machine learning, cybersecurity, and complex networks. She holds a bachelor’s degree in Computer Science, a master’s degree in Computer Engineering with a specialization in software, and a doctorate in Computer Engineering with a focus on software engineering. Her professional experience encompasses extensive academic teaching, supervision of advanced research projects, leadership as head of academic and research units, and active involvement in technology growth centers and science parks, alongside advisory and executive roles in scholarly and innovation-driven initiatives. Her scholarly impact is evidenced by 1,426 citations, an h-index of 23, and an i10-index of 34.

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Featured Publications

A hybrid sine–cosine and golden ratio optimization algorithm for feature selection in intrusion detection systems
M. Maazalahi, S. Hosseini – International Journal of System Assurance Engineering and Management

Analytics and measuring the vulnerability of communities for complex network security
M. Jouyban, S. Hosseini – International Journal of Data Science and Analytics

An Improved Binary Slime Mold Algorithm for Intrusion Detection Systems
M. Khorashadizade, S. Hosseini, M. Jouyban – Concurrency and Computation: Practice and Experience

Alexis Chavez | Renewable Energy Systems | Research Excellence Award

Published on by Electrical Engineering

Mr. Alexis Chavez | Renewable Energy Systems | Research Excellence Award

PhD Candidate | Universidad Mayor De San Simón | Bolivia

Ivan Alexis Chavez Flores is a Civil Engineer and Water Resources Engineer specializing in hydraulics, hydrology, and climate-resilient water systems, currently serving as an independent consultant at ELAXIS Ingeniería and a part-time academic instructor, with professional engagements across academia, consultancy, and applied engineering projects. He holds a Bachelor of Science in Civil Engineering with specialization in Hydraulics and Hydrology, graduating with highest academic distinction, and a Master of Science in Water Resources Engineering earned with cum laude recognition, complemented by advanced training in hydrological modeling, irrigation efficiency, His achievements include competitive international scholarships, institutional commendations for leadership and academic service, professional certifications, active membership in national and international engineering and water resources associations, and participation as a research collaborator within multidisciplinary scientific networks.

View  Scopus Profile View  ORCID Profile

Featured Publications

Ivan Alexis Chavez Flores*, Impacts of climate change on the hydropower potential of a multipurpose storage system project in Bolivian Andes. Journal of Hydrology: Regional Studies, 2025, Article 102903.

Ivan Alexis Chavez Flores, Mauricio Villazón, Diego Inturias, Pablo Pardo, Carolina Aldunate, Crítica, análisis y relleno de las series de tiempo hidrométricas de la Amazonía Boliviana: Ajuste de curvas de descarga H–Q (Tomo 1). FAO Bolivia, 2024.

Ivan Alexis Chavez Flores*, Crítica, análisis y relleno de las series de tiempo hidrométricas de la Amazonía Boliviana: Análisis, crítica y relleno de la información hidrométrica y caudales (Tomo 2). FAO Bolivia, 2024.

Santiago Núñez Mejía, Carina Villegas-Lituma, Patricio Crespo, Mario Córdova, Ronald Gualán, Johanna Ochoa, Pablo Guzmán, Daniela Ballari, Ivan Alexis Chavez Flores et al., Downscaling precipitation and temperature in the Andes: applied methods and performance—a systematic review protocol. Environmental Evidence, 2023, 12, Article 23.

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

Mingxu Wang | Wireless Communication | Young Scientist Award

Published on by Electrical Engineering

Dr. Mingxu Wang | Wireless Communication | Young Scientist Award

Research Associate | Fudan University | China

Mingxu Wang is a Research Associate at Fudan University specializing in photonic terahertz and free-space optical communications within advanced radio access networks. He holds advanced academic training in electronic and optical engineering with a strong focus on high-capacity fiber–wireless integrated systems, developed through rigorous graduate-level education and collaborative research at leading international institutions. His scholarly output has achieved 687 citations with an h-index of 15 and an i10-index of 22, reflecting sustained impact in the field. He holds multiple patents related to advanced modulation and fiber–wireless integration techniques and actively contributes to the research community through professional memberships with IEEE, Optica, and SPIE. His excellence has been recognized through highly competitive international scholarships and distinctions, underscoring his leadership, innovation, and growing influence in electrical and photonic communications research.

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Featured Publications

Low complexity neural network equalization based on multi-symbol output technique for 200+ Gbps IM/DD short reach optical system
B. Sang, W. Zhou, Y. Tan, M. Kong, C. Wang, M. Wang, L. Zhao, J. Zhang, J. Yu – Journal of Lightwave Technology · Citations: 78
Integrated high-resolution radar and long-distance communication based-on photonic in terahertz band
Y. Wang, W. Li, J. Ding, J. Zhang, M. Zhu, F. Zhao, M. Wang, J. Yu – Journal of Lightwave Technology · Citations: 64
Joint communication and radar sensing functions system based on photonics at the W-band
Y. Wang, J. Liu, J. Ding, M. Wang, F. Zhao, J. Yu – Optics Express · Citations: 56
W-band simultaneous vector signal generation and radar detection based on photonic frequency quadrupling
Y. Wang, J. Ding, M. Wang, Z. Dong, F. Zhao, J. Yu – Optics Letters · Citations: 46
Photonics-assisted joint high-speed communication and high-resolution radar detection system
Y. Wang, Z. Dong, J. Ding, W. Li, M. Wang, F. Zhao, J. Yu – Optics Letters · Citations: 45