Samiullah Yousaf | Sensor Networks | Innovative Research Award

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

Dinithi Mohotti | Environmental Science | Innovative Research Award

Innovative Research Award

Dinithi Mohotti
Affiliation University of Arkansas
Country United States
Scopus ID 57218327576
Documents 15
Citations 92
h-index 5
Subject Area Environmental Science
Event World Electrical Engineering Awards
ORCID 0000-0003-2222-0197

Dinithi Mohotti is affiliated with the University of Arkansas, United States, and is recognized for scholarly contributions within the field of environmental science and interdisciplinary engineering-related research. The academic profile reflects participation in internationally indexed scientific publications, measurable citation activity, and research dissemination associated with environmental systems and applied scientific analysis.[1] The documented publication metrics and research visibility indicate continued engagement within academic and technical research communities.[2]

Abstract

This article presents a structured academic recognition overview of Dinithi Mohotti and associated scholarly activities in environmental science and interdisciplinary engineering-related research domains. The profile reflects indexed scientific publications, measurable citation indicators, and participation within internationally recognized academic databases.[1] The article further evaluates research visibility, publication performance, and scholarly engagement relevant to environmental and scientific research applications.

Keywords

Environmental Science; Scientific Publications; Citation Analysis; Academic Recognition; Engineering Research; Environmental Research; Research Metrics; Interdisciplinary Science; Indexed Journals; Applied Scientific Studies.

Introduction

Academic recognition programs commonly evaluate researchers based on publication quality, scientific visibility, citation performance, and interdisciplinary contribution. Environmental science research contributes significantly to sustainability studies, environmental systems analysis, ecological monitoring, and engineering-oriented scientific applications.[3] Dinithi Mohotti’s academic profile reflects measurable participation within these scholarly domains through internationally indexed research publications and citation activity available through recognized academic databases.[1]

Professional scientific recognition frameworks frequently consider publication consistency, research dissemination, and documented scholarly contribution within technical and interdisciplinary scientific fields.

Research Profile

According to indexed academic records, Dinithi Mohotti has authored or co-authored fifteen scientific documents with a cumulative citation count of ninety-two and an h-index value of five.[1] These metrics indicate measurable scholarly engagement and active participation in scientific research dissemination. The research portfolio is primarily associated with environmental science and interdisciplinary technical research areas.

Researchers working within environmental and applied scientific disciplines frequently contribute to analytical methodologies, environmental systems evaluation, sustainability-oriented research, and interdisciplinary scientific development.

Research Contributions

The available research profile suggests contributions associated with environmental analysis, sustainability research, scientific measurement methodologies, and interdisciplinary technical studies. Environmental science research plays a significant role in ecological assessment, environmental monitoring, climate-related studies, and scientific evaluation frameworks.[3]

Scientific research within interdisciplinary environmental domains frequently requires integration involving environmental systems, engineering methodologies, analytical modeling, and data-driven assessment techniques. The publication activity associated with Dinithi Mohotti reflects participation in peer-reviewed scientific communication and scholarly dissemination within internationally indexed research environments.[2]

Publications

The indexed publication portfolio associated with Dinithi Mohotti includes scientific works documented within internationally recognized academic databases. Publication activity represents an important indicator of research engagement, scholarly communication, collaborative participation, and scientific visibility within academic communities.[1]

The publication record further supports academic participation within environmental science and related interdisciplinary research fields involving sustainability-oriented investigation and technical scientific assessment.

Research Impact

Citation indicators and indexed publication visibility provide measurable evidence of academic engagement and scientific dissemination. The citation profile associated with Dinithi Mohotti indicates that the published research has attracted scholarly attention within related scientific and environmental research communities.[1]

Research impact within environmental science frequently extends beyond direct publication metrics and contributes to broader applications including sustainability analysis, environmental policy support, scientific diagnostics, ecological assessment, and interdisciplinary engineering-related methodologies.[3] Indexed publications additionally support institutional collaboration and international scientific visibility.

Award Suitability

Based on the available scholarly indicators, Dinithi Mohotti demonstrates characteristics commonly associated with professional academic recognition programs, including indexed publication activity, measurable citation performance, and subject specialization within environmental science. The integration of interdisciplinary scientific research with engineering-oriented applications aligns with broader objectives related to scientific innovation and applied research advancement.

Professional recognition frameworks generally emphasize scientific contribution, innovation potential, publication dissemination, and measurable academic engagement within technical disciplines. The documented publication and citation profile supports consideration under academic recognition categories associated with environmental and interdisciplinary scientific excellence.

Conclusion

Dinithi Mohotti’s academic profile reflects active participation in environmental science research and internationally indexed scientific publication. The documented metrics, including publication count, citation visibility, institutional affiliation, and research specialization, indicate measurable scholarly contribution within interdisciplinary scientific disciplines.[1] The research record demonstrates alignment with professional academic recognition standards associated with scientific excellence and technical research contribution.

References

    1. Elsevier. (n.d.). Scopus author details: Dinithi Mohotti, Author ID 57218327576. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=57218327576
    2. ORCID. (n.d.). ORCID profile record for Dinithi Mohotti.
      https://orcid.org/0000-0003-2222-0197
    3. Aka, R. J. N., Wu, S., Mohotti, D., Bashir, M. A., & Nasir, A. (2022). Evaluation of a liquid-phase plasma discharge process for ammonia oxidation in wastewater: Process optimization and kinetic modeling. Water Research, 224, 119107.
      https://doi.org/10.1016/j.watres.2022.119107
    4. Hossain, M. M., Wu, S., Nasir, A., Mohotti, D., Yuan, Y., Agyekum-Oduro, E., et al. (2022). Superhydrophobic and superoleophilic surfaces prepared by one-step plasma polymerization for oil-water separation and self-cleaning function. Surfaces and Interfaces, 35, 102462.
      https://doi.org/10.1016/j.surfin.2022.102462
    5. Diyabalanage, S., Kalpage, M. D., Mohotti, D. G., Dissanayake, C. K. K., et al. (2021). Comprehensive assessment of essential and potentially toxic trace elements in bovine milk and their feeds in different agro-climatic zones of Sri Lanka. Biological Trace Element Research, 199(4), 1377-1388.
      https://doi.org/10.1007/s12011-020-02291-4

Chuntana Reangsing | Nursing science | Research Excellence Award

Assoc. Prof. Dr. Chuntana Reangsing | Nursing science | Research Excellence Award

School of Nursing | Mae Fah Luang University | Thailand

Assoc. Prof. Dr. Chuntana Reangsing is an Associate Professor at the School of Nursing, Mae Fah Luang University, Thailand, with expertise in psychiatric nursing and mental health. She holds a Bachelor of Nursing Science, a Master of Science in Mental Health, a specialty certificate in psychiatric nursing, and a PhD in Nursing. Her professional experience includes clinical practice as a registered nurse, academic teaching, graduate research assistance, and leadership as a principal investigator on nationally funded research projects. Her research focuses on mindfulness-based interventions, depression, substance use disorders, and systematic review and meta-analysis, with extensive publications in high-impact international journals that advance evidence-based mental health care. She has received competitive research funding, serves as an academic reviewer, and holds relevant professional memberships and certifications. Her scholarly impact is reflected by 33 Scopus-indexed documents, 387 citations across 374 citing documents, and an h-index of 10.

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Featured Publications

Effects of mindfulness meditation interventions on depression in older adults: A meta-analysis
C. Reangsing, T. Rittiwong, J.K. Schneider
Aging & Mental Health · Highly Cited (170 citations)

Effects of mindfulness interventions on depressive symptoms in adolescents: A meta-analysis
C. Reangsing, S. Punsuwun, J.K. Schneider
International Journal of Nursing Studies · Highly Cited (122 citations)

A methodological review of qualitative longitudinal research in nursing
L. SmithBattle, R. Lorenz, C. Reangsing, J.L. Palmer, G. Pitroff
Nursing Inquiry · High-Impact Methodological Review (58 citations)

Effects of mindfulness meditation intervention on depressive symptoms in emerging adults: A systematic review and meta-analysis
C. Reangsing, C. Lauderman, J.K. Schneider
Journal of Integrative and Complementary Medicine · Influential Review (50 citations)

Effects of online mindfulness-based interventions on depressive symptoms in college and university students: A systematic review and meta-analysis
C. Reangsing, S.G. Abdullahi, J.K. Schneider
Journal of Integrative and Complementary Medicine · Emerging Impact (39 citations)

Chaochao Shen | Fiber Optics | Research Excellence Award

Dr. Chaochao Shen | Fiber Optics |Research Excellence Award

Student | Shanghai Institute of Optics | China

Chaochao Shen is a researcher at the Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, with expertise in optical and electrical engineering–related interdisciplinary research. He holds advanced academic training in engineering and applied physical sciences, with specialization aligned to optics, photonic systems, and related technologies. His professional experience includes active involvement in collaborative research projects, multidisciplinary teamwork, and scholarly contributions within a leading national research institute. His research focuses on advanced optical and optoelectronic systems, with peer-reviewed publications indexed in Scopus and demonstrated citation impact, reflecting the relevance of his work to the scientific community. He has collaborated with an international network of researchers and maintains an active Scopus author profile. His scholarly metrics include four Scopus-indexed documents, one citation, and an h-index of one.

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Featured Publications

Surface-mode induced high birefringence in a low-loss 7-cell photonic bandgap hollow-core fiber
C Shen, D Wu, X Zhu, S Chen, F Yu
Optical Fiber Technology, 95, 104416

Demonstration of tuning thermal coefficient of delay of photonic bandgap hollow-core fiber by surface mode
C Shen, D Wu, X Zhu, S Chen, B Lu, H Li, F Yu, X Chen, J Knight
Optical Fiber Technology, 95, 104429

High numerical-aperture solarization-resistant silica-glass air-cladding fiber bundle for the ultraviolet imaging
B Xu, C Shen, H Shen, Y Zang, Y Wang, Y Liu, X Lin, F Yu
IEEE Photonics Journal

Tuning of birefringence and thermal coefficient of delay of photonic bandgap hollow-core fiber by surface modes
C Shen, F Yu, J Knight
24th International Conference on Transparent Optical Networks (ICTON), 1-1, 2024

Ning Zhang | Signal & Image Processing | Research Excellence Award

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

Kristaq Hazizi | Automotive Engineering | Research Excellence Award

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

Pengfei Guo | Optoelecronics and Nanophotonics | Best Research Award

Prof. Dr. Pengfei Guo | Optoelecronics and Nanophotonics | Best Research Award

Prof. | Taiyuan University of Technology | China

Prof. Dr. Pengfei Guo is a Professor in the College of Physics and Optoelectronics at Taiyuan University of Technology, specializing in low-dimensional semiconductor materials, optoelectronics, and nanophotonics. He holds a bachelor’s degree in physics and electronics, a master’s degree in physics and electronics, and a doctoral degree in materials science and engineering. His professional experience includes academic appointments and postdoctoral research at leading institutions, participation in competitive scholar programs, supervision of research teams, and leadership in advanced nanomaterials projects. His research focuses on the controlled growth of one- and two-dimensional semiconductor nanostructures, novel optical and electronic properties, nanophotonic devices, and energy-related technologies, with extensive publications in high-impact international journals. Prof. Guo has received multiple prestigious awards and honors, serves in editorial roles for scholarly journals, and is an active member of the international research community, with 2,480 citations, an h-index of 25, and an i10-index of 52.

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Featured Publications

Growth of Alloy MoS2xSe2(1–x) Nanosheets with Fully Tunable Chemical Compositions and Optical Properties
H. Li, X. Duan, X. Wu, X. Zhuang, H. Zhou, Q. Zhang, X. Zhu, W. Hu, P. Ren, et al.
Journal of the American Chemical Society, 136(10), 3756–3759 · Citations: 582

Room-Temperature Dual-Wavelength Lasing from Single-Nanoribbon Lateral Heterostructures
J. Xu, L. Ma, P. Guo, X. Zhuang, X. Zhu, W. Hu, X. Duan, A. Pan
Journal of the American Chemical Society, 134(30), 12394–12397 · Citations: 127

On-Nanowire Axial Heterojunction Design for High-Performance Photodetectors
P. Guo, J. Xu, K. Gong, X. Shen, Y. Lu, Y. Qiu, J. Xu, Z. Zou, C. Wang, H. Yan, et al.
ACS Nano, 10(9), 8474–8481 · Citations: 102

Wavelength-Converted Selective Waveguiding Based on Composition-Graded Semiconductor Nanowires
J. Xu, X. Zhuang, P. Guo, Q. Zhang, W. Huang, Q. Wan, W. Hu, X. Wang, X. Zhu, et al.
Nano Letters, 12(9), 5003–5007 · Citations: 94

Semiconductor Alloy Nanoribbon Lateral Heterostructures for High-Performance Photodetectors
P. Guo, W. Hu, Q. Zhang, X. Zhuang, X. Zhu, H. Zhou, Z. Shan, J. Xu, A. Pan
Advanced Materials, 26(18), 2844–2849 · Citations: 86

Abdoulaye Ndao | Optics and Photonics | Research Excellence Award

Assoc. Prof. Dr. Abdoulaye Ndao | Optics and Photonics | Research Excellence Award

Associate Professor | University of California San Diego | United States

Abdoulaye Ndao is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California San Diego, where he leads the Nano Devices and Applied Optics Laboratory and specializes in nanophotonics, metasurfaces, and applied optics. He earned a PhD in Physics with distinction following advanced training in lasers and materials science. His professional experience spans academic leadership, postdoctoral research at leading institutions, and prior engineering roles, with sustained contributions to teaching, mentoring, and conference service. His research focuses on topological photonics, plasmonics, meta-optics, and bioimaging technologies, resulting in influential publications in premier journals, patented innovations, and significant translational impact. His scholarly impact is reflected in approximately 2,900 citations, an h-index of 24, and an i10-index of 32.

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Featured Publications

Nonreciprocal lasing in topological cavities of arbitrary geometries
B. Bahari, A. Ndao, F. Vallini, A. El Amili, Y. Fainman, B. Kanté – Science (900 citations)

Symmetry-breaking-induced plasmonic exceptional points and nanoscale sensing
J.-H. Park*, A. Ndao*, W. Cai, L. Hsu, A. Kodigala, T. Lepetit, Y.-H. Lo, B. Kanté – Nature Physics (359 citations)

Octave bandwidth photonic fishnet achromatic metalens
A. Ndao, L. Hsu, J. Ha, J.-H. Park, C. Chang-Hasnain, B. Kanté – Nature Communications (208 citations)

Transmission properties of slanted annular aperture arrays
T. Alaridhee, A. Ndao, M.-P. Bernal, E. Popov, A.-L. Fehrembach, F.-I. Baida – Optics Express (158 citations)

Photonic quantum Hall effect and multiplexed light sources of large orbital angular momenta
B. Bahari, L. Hsu, S.-H. Pan, D. Preece, A. Ndao, A. El Amili, Y. Fainman – Nature Physics (139 citations)

Soodeh Hosseini | Machine Learning | Research Excellence Award

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