Leng Chee Chang | Pharmacology | Research Excellence Award

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Prof. Dr. Leng Chee Chang | Pharmacology | Research Excellence Award

University of Hawaii at Hilo | United States

Prof. Dr. Leng Chee Chang is a natural products chemist whose work focuses on the isolation, characterization, and biological evaluation of bioactive compounds from medicinal plants, marine algae, and microbes with applications in cancer chemoprevention, chemotherapeutics, and antimicrobial discovery. According to Scopus-indexed records, she has authored 73 publications, which have been cited 2,567 times, reflecting a substantial global research impact. Her h-index of 28 highlights consistent scholarly influence and sustained citation performance across her body of work. Dr. Chang’s research has appeared in high-impact journals such as Organic Letters, Journal of Natural Products, Molecules, and ACS Omega, and encompasses multidisciplinary collaborations in pharmacognosy, medicinal chemistry, and pharmacology. Her work has contributed to the discovery of novel natural products with therapeutic potential.

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Featured Publications


A New Trichlorinated Xanthone and Compounds Isolated from Cladonia skottsbergii with Antimicrobial Properties

– Rositzki MJ, Raksat A, Simmons CJ, Smith C, Reverend Danette V. Choi, Wongwiwatthananukit S, Chang LC · Pharmaceuticals, 2026


Bioactive Constituents from the Edible Seaweed Halymenia hawaiiana (Rhodophyta)

– Raksat A, Atanu MSH, McDermimid KJ, Wall MW, Chang BL, Wongwiwatthananukit S, Chang LC · Pharmaceutical Biology, 2025


Bioactive Compounds from Dodonaea viscosa Flowers: Potent Antibacterial and Antiproliferative Effects in Breast Cancer Cells

– Raksat A, Yee D, Gi YJ, Wongwiwatthananukit S, Chang LK, Kaawaloa P, Wall MW, Chang LC · Molecules, 2025 (IF 4.2)


Biologically Active Withanolides from Physalis peruviana L.

– Sang-Ngern M, Fukuchi A, Kondratyuk TP, Park E-J, Simmons CJ, Wall MW, Lorch SE, Pezzuto JM, Chang LC · Pharmaceutical Biology, 2025


Vernonolide A, a Sesquiterpene Lactone with a Unique Carbon Skeleton from Vernonia cinerea

– Zhang M, Kondratyuk TP, Cao S, Li M, Songsak T, Wongwiwatthananukit S, Cai Y-S, Chang LC · Organic Letters, 2025 (IF 4.9)

 

Giuseppe Federighi | Medicine and Health Sciences | Research Excellence Award

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Dr. Giuseppe Federighi | Medicine and Health Sciences | Research Excellence Award

University of Pisa | Italy

Dr. Giuseppe Federighi is a neuroscientist and molecular biologist whose research focuses on gene expression regulation, neurovascular physiology, oxidative stress, and experimental hypertension. His work integrates molecular neuroscience with functional and behavioral approaches in animal models to investigate mechanisms underlying neuroprotection, cerebrovascular regulation, and metabolic modulation. He has made notable contributions to studies on acetyl-L-carnitine, antioxidant interventions, mandibular extension–induced hypotension, and cerebral microcirculation. According to Scopus, he has authored 19 peer-reviewed publications, received 153 citations, and holds an h-index of 7. His research outputs are published in high-visibility journals such as Molecular Neurobiology, PLoS One, Scientific Reports, and Frontiers in Physiology.

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Featured Publications


Physical exercise improves total antioxidant capacity and gene expression in rat hippocampal tissue

– F. Franzoni, G. Federighi, J. Fusi, et al. · Archives italiennes de biologie, 2017 · Cited by 38


Modulation of Myelin Basic Protein Gene Expression by Acetyl-l-Carnitine

– G. Traina, G. Federighi, M. Macchi, et al. · Molecular Neurobiology, 2011 · Cited by 27


Cytoprotective Effect of Acetyl-l-Carnitine Evidenced by Analysis of Gene Expression in the Rat Brain

– G. Traina, G. Federighi, M. Brunelli, R. Scuri · Molecular Neurobiology, 2009 · Cited by 25


Up-regulation of kinesin light-chain 1 gene expression by acetyl-L-carnitine: therapeutic possibility in Alzheimer’s disease

– G. Traina, G. Federighi, M. Brunelli · Neurochemistry International, 2008 · Cited by 24


Modulation of gene expression in contextual fear conditioning in the rat

– G. Federighi, G. Traina, M. Macchi, et al. · PLoS One, 2013 · Cited by 17 

Ufuomanefe Jones | Nursing and Health Professions | Research Excellence Award

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Dr. Ufuomanefe Jones | Nursing and Health Professions | Research Excellence Award

Coventry University | United Kingdom

Dr. Ufuomanefe Jones is a health and wellbeing researcher whose scholarship examines cardiovascular care, patient–family experiences, and equity in healthcare education and practice. Her work integrates qualitative inquiry with applied clinical perspectives to understand how communication, consultation styles, and cultural context shape outcomes for people living with heart failure and for families of frontline healthcare workers. She has contributed to interdisciplinary research on ethnic diversity, leadership barriers, and inclusion within paramedic and nursing education, advancing asset-based and equity-focused approaches. Dr. Jones has published in peer-reviewed international journals and presents regularly at public health and healthcare education conferences. Her research is recognised for amplifying underrepresented voices, strengthening culturally responsive practice, and informing workforce development and patient-centred cardiovascular care.

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Featured Publications


Family Experiences of living with frontline Healthcare workers during the COVID-19 Pandemic in the United Kingdom: Perspectives from Black and Asian Community

– Jones, U., Rodrigues Amorim Adegboye, A., Khutan, R., Murandu, M. · Interdisciplinary Perspectives in Infectious Diseases, 2026


Addressing the lack of ethnic diversity in the UK paramedic profession: A call for action

– Adegboye, A.A., Jones, U., Gilkes, G., et al. · British Paramedic Journal, 2025


Enhancing diversity and inclusion in paramedic education: Exploring educator and learner perspectives on asset-based initiatives

– Graham, K., Jones, U., Rehling, T., et al. · Health Services Management Research, 2025


Addressing Leadership diversity barriers for Ethnic Minority staff in WMAS

– Hyllam, M., Rodrigues Amorim Adegboye, A., Jones, U., et al. · European Journal of Public Health, 2025

Wenjing Li | Artificial Neural Networks | Research Excellence Award

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Prof. Wenjing Li | Artificial Neural Networks | Research Excellence Award

Beijing University of Technology | China

Prof. Wenjing Li is an internationally recognized researcher in intelligent computing and neural computation, with a strong focus on brain-like neural network modeling, intelligent anomaly detection, and data-driven modeling for wastewater treatment processes. According to Scopus, she has published 89 peer-reviewed documents, received 1,797 citations, and holds an h-index of 23, reflecting sustained impact in computational intelligence and applied AI. Her research is distinguished by the development of feedforward small-world neural networks, self-organizing algorithms, pruning strategies, and robust modeling frameworks for nonlinear systems and industrial process prediction. Her work has appeared in leading journals including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Reliability, IEEE Transactions on Emerging Topics in Computational Intelligence, and Applied Intelligence, contributing significantly to intelligent modeling methodologies and virtual sensing in complex engineering systems.

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Featured Publications


A fast feedforward small-world neural network for nonlinear system modeling

– Wenjing Li*, Zhigang Li, Junfei Qiao · IEEE Transactions on Neural Networks and Learning Systems, 2025


A hub-based self-organizing algorithm for feedforward small-world neural network

– Wenjing Li*, Can Chen, Junfei Qiao · IEEE Transactions on Emerging Topics in Computational Intelligence, 2025


Design of a bi-level PSO based modular neural network for multi-step time series prediction

– Wenjing Li*, Yonglei Liu, Zhiqian Chen · Applied Intelligence, 2024

Ahlem Aboud | Computer Science | Research Excellence Award

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Dr. Ahlem Aboud | Computer Science | Research Excellence Award

Université de Picardie Jules Verne | France

Dr. Ahlem Aboud is a researcher in Artificial Intelligence and bio-inspired optimization, with a strong focus on dynamic and multi-objective optimization problems. Her research integrates population-based metaheuristics such as Particle Swarm Optimization, Crow Search Algorithm, and Whale Optimization Algorithm with machine learning and deep learning frameworks. According to Scopus, she has published 5 indexed research articles, received 59 citations, and holds an h-index of 4. Her work is published in high-impact venues including Applied Soft Computing, Applied Sciences, and IEEE flagship conferences. She has contributed novel dynamic Pareto bi-level optimization strategies applied to feature selection, big data fusion, and intelligent decision systems. Her research advances adaptive optimization for complex, evolving environments and interdisciplinary AI applications.

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Featured Publications


DPb-MOPSO: a dynamic pareto bi-level multi-objective particle swarm optimization algorithm

– A. Aboud, N. Rokbani, R. Fdhila, et al. · Applied Soft Computing, 2022 · Cited by 36


MOPSO for dynamic feature selection problem based big data fusion

– A. Aboud, R. Fdhila, A.M. Alimi · IEEE SMC, 2016 · Cited by 15


A Distributed Bi-behaviors Crow Search Algorithm for Dynamic Multi-Objective Optimization and Many-Objective Optimization

– A. Aboud, N. Rokbani, S. Mirjalili, A. Alimi · Applied Sciences, 2021 · Cited by 8


A novel Dynamic Pareto bi-level Multi-Objective Particle Swarm Optimization (DPb-MOPSO) algorithm

– A. Aboud, R. Fdhila, A. Hussain, et al. · Authorea Preprints, 2023 · Cited by 5

You Zhang | Earth and Planetary Sciences | Distinguished Scientist Award

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Mr. You Zhang | Earth and Planetary Sciences | Distinguished Scientist Award

Petrochina Hangzhou Research Institute Of Petroleum Geology | China

Mr. You Zhang is a geoscience researcher specializing in sedimentary geology and petroleum reservoir studies, with a strong emphasis on marine carbonate and continental clastic systems. According to Scopus, he has 15 peer-reviewed publications, accumulating 150 citations across 107 citing documents, with an h-index of 8. His scholarly output includes SCI- and EI-indexed articles addressing reservoir formation mechanisms, diagenetic evolution, and exploration risk assessment in major petroliferous basins. He has also contributed to knowledge dissemination through the translation and publication of authoritative academic books on dolomite systems and trace fossils. His research integrates sedimentology, reservoir characterization, and applied petroleum geology, supporting innovation-driven exploration and development strategies.

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Key stage and model of hydrocarbon accumulation of Ordovician reservoir in Gucheng area, Tarim Basin, China

– You Zhang, Qiang Li, Yongbin Niu, Yumao Pang · Frontiers in Earth Science, 2023 · Cited by 2

Samer Srour | Physics and Astronomy | Research Excellence Award

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Mr. Samer Srour | Physics and Astronomy | Research Excellence Award

Islamic University of Gaza | Palestine

Mr. Samer Srour is a researcher in optics and photonics with a strong focus on photonic crystals and surface plasmon resonance–based sensing technologies. His research addresses the theoretical design, modeling, and optimization of nanophotonic structures for chemical and biosensing applications, with particular emphasis on sensitivity enhancement and resonance behavior analysis using transfer matrix methods. According to Scopus, he has 2 indexed publications, which have received 9 citations, with an h-index of 2. His work contributes to the advancement of optical sensor platforms capable of detecting harmful chemicals and biological agents, demonstrating relevance to environmental monitoring, public health, and applied optical physics.

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Featured Publications


Detection of Harmful Chemical Compounds in Plastic Products Using a High-Sensitivity Photonic Crystal-Based Sensor

– Sofyan Taya, Samer Srour, Abdulkarem Almawgani, Shobhitkumar K. Patel · 2023

Dongheon Lee | Computer Science and Artificial Intelligence | Best Researcher Award

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Prof. Dongheon Lee | Computer Science and Artificial Intelligence | Best Researcher Award

Seoul National University College of Medicine | South Korea

Prof. Dongheon Lee is a researcher in medical image analysis and artificial intelligence, with a strong focus on deep learning–based clinical decision support systems. His work spans medical imaging, computer vision, bio signal analysis, and intelligent healthcare systems, addressing real-world diagnostic and interventional challenges. According to Scopus, he has authored 29 peer-reviewed publications, received 489 citations, and holds an h-index of 11, reflecting consistent scholarly impact. His research outputs appear in high-impact journals such as Radiology, Gastroenterology, Radiology: Artificial Intelligence, IEEE Journal of Biomedical and Health Informatics, and Computers in Biology and Medicine. His work demonstrates translational relevance, integrating methodological innovation with clinical applicability across radiology, endoscopy, and surgical intelligence.

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Featured Publications


Evaluation of surgical skills during robotic surgery by deep learning-based multiple surgical instrument tracking

– D. Lee, HW Yu, H Kwon, et al. · Journal of Clinical Medicine, 2020 · Cited by 117


CT-based deep learning model to differentiate invasive pulmonary adenocarcinomas appearing as subsolid nodules

– H Kim, D. Lee, WS Cho, et al. · European Radiology, 2020 · Cited by 60


Deep learning to optimize candidate selection for lung cancer CT screening

– JH Lee, D. Lee, MT Lu, et al. · Radiology, 2022 · Cited by 36

Aloisio Mazzarolo | Business, Management and Accounting | Research Excellence Award

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Dr. Aloisio Mazzarolo | Business, Management and Accounting | Research Excellence Award

FUCAPE Business School | Brazil

Dr. Aloisio Mazzarolo is a researcher in management and marketing with a strong focus on strategic marketing orientations, social value creation, internal marketing, and consumer behavior in digital and banking contexts. His scholarly work integrates value for consumers and society, emphasizing ethical, social, and strategic dimensions of marketing decision-making. According to Scopus, he has 2 indexed publications, 49 citations, and an h-index of 2. His research outputs appear in peer-reviewed international journals and reputable conference proceedings, contributing to discussions on social value generation, internal marketing effectiveness, and user satisfaction in digital platforms. His studies offer theoretical frameworks and empirical insights that support innovation and responsible marketing practices within service-oriented industries.

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Featured Publications


Antecedents and consequents of user satisfaction on Instagram

– A.H. Mazzarolo, E.W. Mainardes, F.A. Innocencio ·  Cited by 61


Effects of internal marketing on strategic orientations in the banking sector

– A.H. Mazzarolo, E.W. Mainardes, D.S. Montemor · Cited by 57

STRATEGIC MARKETING ORIENTATIONS FOR SOCIAL VALUE GENERATION: SYSTEMATIC LITERATURE REVIEW AND RESEARCH AGENDA

– A.H. Mazzarolo, E.W. Mainardes, L.M.C.B. Sepulcri, A.B.S.P. de Oliveira · European Journal of Management and Marketing Studies

Strategic Marke ng Value Orienta on for the Consumer and Society

– A.H. Mazzarolo, E.W. Mainardes, V. Azzari · 23rd International Congress on Public and Nonprofit Marketing, 2024


Antecedentes e Consequentes da Satisfação do Usuário no Instagram

– A.H. Mazzarolo · Portuguese version of published research