Chuntana Reangsing | Nursing science | Research Excellence Award

Published on by Electrical Engineering

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

Published on by Electrical Engineering

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

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

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

Pengfei Guo | Optoelecronics and Nanophotonics | Best Research Award

Published on by Electrical Engineering

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

Published on by Electrical Engineering

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

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

Yijie Shen | Structured Light | Research Excellence Award

Published on by Electrical Engineering

Prof. Yijie Shen | Structured Light | Research Excellence Award

Assistant Professor | Nanyang Technological University | Singapore

Yijie Shen is a Nanyang Assistant Professor at Nanyang Technological University, Singapore, with joint appointments in the School of Physical and Mathematical Sciences and the School of Electrical and Electronic Engineering, and is an internationally recognized expert in photonics and optical engineering. He received a doctoral degree in optical engineering from Tsinghua University and a bachelor’s degree in mechanical engineering and automation from South China University of Technology. His professional experience spans academic leadership, competitive international research projects, and interdisciplinary collaboration, including prior service as a Marie-Curie Senior Research Fellow and active leadership in high-impact research initiatives. The candidate has achieved 7,691 citations with an h-index of 39 and an i10-index of 76, reflecting a strong and sustained scholarly impact.

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Featured Publications

Optical vortices 30 years on: OAM manipulation from topological charge to multiple singularities
Y. Shen, X. Wang, Z. Xie, C. Min, X. Fu, Q. Liu, M. Gong, X. Yuan – Light: Science & Applications · Cited by 2376

Towards higher-dimensional structured light
C. He, Y. Shen, A. Forbes – Light: Science & Applications · Cited by 571

Optical skyrmions and other topological quasiparticles of light
Y. Shen, Q. Zhang, P. Shi, L. Du, X. Yuan, A. V. Zayats – Nature Photonics · Cited by 362

Supertoroidal light pulses as electromagnetic skyrmions propagating in free space
Y. Shen, Y. Hou, N. Papasimakis, N. I. Zheludev – Nature Communications · Cited by 229

Generation of optical skyrmions with tunable topological textures
Y. Shen, E. C. Martínez, C. Rosales-Guzmán – ACS Photonics · Cited by 223

Yuhui Zhou | Wireless Communication | Research Excellence Award

Published on by Electrical Engineering

Ms. Yuhui Zhou | Wireless Communication | Research Excellence Award

Student | Henan Polytechnic University | China

Zhou Yuhui is a postgraduate researcher in Electronic Information at Henan Polytechnic University, specializing in wireless communications and integrated sensing and communication systems. He holds a bachelor’s degree in Communication Engineering and is pursuing a master’s degree with advanced training in wireless communication theory, signal detection and estimation, and space–time coding, consistently ranking among the top students academically. His professional experience includes active participation in a provincial-level research project focused on key technologies for autonomous-driving-oriented integrated sensing and communication. His achievements are complemented by multiple academic and technical competition awards, institutional honors recognizing academic excellence, editorial and scholarly engagement through indexed publications, and professional certifications in language proficiency and technical tools, underscoring his well-rounded academic profile and commitment to research excellence. 3 Citations, 5 Documents, 1 h-index

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Featured Publications

Secure backscatter NOMA systems with dual-antenna relay: Reliability, security, and efficiency analysis
Liyao Ma, Yuhui Zhou, Gaojian Huang, Mengyan Huang – Physical Communication

Time-modulated planar arrays enabled directional modulation symbol synthesis
Hui Chen, Yuhui Zhou, Shufen Chen, Xingwang Li – Physical Communication

Outage Probability Analysis of the Symbiotic Backscatter-NOMA Systems
Yuhui Zhou, Gaojian Huang, Xingwang Li – Conference Paper