Sen Mei | Engineering | Research Excellence Award

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Dr. Sen Mei | Engineering | Research Excellence Award

Nanyang Technological University | Singapore

Sen Mei is a postdoctoral fellow in coastal engineering at Nanyang Technological University, specializing in the research and development of offshore wind anchor foundations, mooring systems, and coastal protection infrastructure. Her work focuses on innovative anchored flexible seawall technologies and advanced seawater–anchor–seabed coupled numerical models for deep-sea structural design. Trained in offshore and geotechnical engineering across leading institutions in Singapore, Australia, Japan, and China, she has extensive experience in finite element modeling, centrifuge testing, and experimental geomechanics. Sen Mei has contributed to high-impact research on suction caisson uplift capacity, anchoring security under extreme environmental conditions, and foundation behavior under dynamic and complex loading. She has also played key roles in large-scale international research programs related to climate adaptation, coastal defense, and offshore floating infrastructure. With a strong foundation in soil mechanics and excellent bilingual scientific writing skills, she bridges theoretical insight with practical engineering solutions.

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Featured Publications


Evaluation of Drainage Conditions During Uplift Based on a New Dimensionless Velocity

– Ocean Engineering

Experimental Study on the Behaviour of Bucket Foundations Under Sustained Uplift Loading

– Journal of Geotechnical and Geoenvironmental Engineering

Experimental Investigation of Rate Effects on the Uplift Response of Surface and Skirted Circular Shallow Foundations

– Journal of Geotechnical and Geoenvironmental Engineering

Numerical Modelling of the Uplift Process and Breakaway of Circular Surface Footings

– Computers and Geotechnics

Numerical Modelling of Uplifting a Surface Footing on Clay

– European Conference on Numerical Methods in Geotechnical Engineering

Feng Lin | Hospitality Management | Research Excellence Award

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Dr. Feng Lin | Hospitality Management | Research Excellence Award

Guangzhou College of Commerce | China

Feng Lin is a lecturer in tourism and hospitality management whose work bridges consumer psychology, product design, and sustainable consumption in tourism and foodservice contexts. He holds a doctoral degree in hospitality and tourism management and has extensive teaching and research experience across China, Korea, and Thailand. His research focuses on tourism and hospitality marketing, museum consumption, cannabis-infused food and beverages, emotions, and protection motivation theory, with strong expertise in big data analysis and advanced quantitative methods such as PLS-SEM and multivariate data analysis. Feng Lin has published widely in leading international journals and has presented his research at major academic conferences. He has contributed to teaching at undergraduate and postgraduate levels in both English and Chinese, covering marketing, statistics, and research methodology. In addition to his academic roles, he actively serves as a peer reviewer for several high-impact international journals in tourism, hospitality, psychology, and social sciences.

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From Design, Affective Museum Image, Gender, and Previous Experience to Behavioral Intention: A Three-Way Interaction Model

– International Journal of Tourism Research

How Product Design Affects Repurchase Intention, eWOM, and Museum Visit Intention: Museum Mystery Boxes in China

– Journal of Travel & Tourism Marketing

How Does Starbucks’ Merchandise Design in Their Online Shop Trigger Behavioral Intention?

– International Journal of Hospitality Management

An Integrated Model of Cannabis-Infused Food and Beverage Consumption in the USA Based on the Protection Motivation Theory and the Value–Attitude–Behavior Model

– International Journal of Hospitality Management

Effect of Product Design on Repurchase Intention, Electronic Word-of-Mouth, and Museum Visit Intention: Museum Random Boxes in China

– International Journal of Tourism Research

Wenqiang Hua | Deep Learning | Research Excellence Award

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Dr. Wenqiang Hua | Deep Learning | Research Excellence Award

Xi’an University of Posts and Telecommunications | China

Wenqiang Hua is a Lecturer in the School of Computer Science at Xi’an University of Posts and Telecommunications and a member of the Key Laboratory of Big Data and Intelligent Computing. He holds a Ph.D. in Electronic Circuits and Systems with a strong research focus on deep learning, image classification, and remote sensing image analysis, particularly Polarimetric SAR image classification. His work emphasizes semi-supervised learning, contrastive learning, domain adaptation, feature fusion, and multi-modal neural networks for complex remote sensing scenarios. Dr. Hua has published extensively in leading international journals, including IEEE Geoscience and Remote Sensing Letters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing, Knowledge-Based Systems, and the International Journal of Applied Earth Observation and Geoinformation. He has also led nationally and provincially funded research projects related to small-sample PolSAR terrain classification. Known for his extroverted, optimistic, and enthusiastic character, he actively engages in interdisciplinary research and academic collaboration.

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Featured Publications


Knowledge and Data Co-Driven Deep Learning Model for PolSAR Image Classification

– Results in Engineering

Class-Discrepancy Dynamic Weighting for Cross-Domain Few-Shot Hyperspectral Image Classification

– Remote Sensing

Semi-Supervised Hybrid Contrastive Learning for PolSAR Image Classification

– Knowledge-Based Systems

Global–Local Multigranularity Transformer for Hyperspectral Image Classification

– IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Zhongwen Wu | Artificial Neural Networks | Research Excellence Award

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Ms. Zhongwen Wu | Artificial Neural Networks | Research Excellence Award

China Jiliang University | China

Wu Zhongwen is a researcher in complex networks and systems science with a strong background in applied mathematics and neural system modeling. His work focuses on the stability, synchronization, and dynamical behavior of fractional-order and quaternion-valued neural networks, particularly under time-varying delays and switching mechanisms. He has authored multiple first-author SCI journal articles in leading international venues, with research contributions spanning equilibrium coexistence, asymptotic stability, and finite-time synchronization criteria. Wu has also served as a principal investigator for a competitive provincial youth research grant, reflecting recognition of his independent research capability. Trained through rigorous graduate and doctoral studies in applied mathematics, he combines solid theoretical analysis with advanced tools from nonlinear dynamics, fractional calculus, and complex network theory. His research aims to deepen the mathematical understanding of neural systems and provide robust analytical frameworks applicable to intelligent systems, control theory, and interdisciplinary networked dynamics.

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Finite-Time Synchronization of Fractional-Order Quaternion-Valued Delayed Cohen-Grossberg Neural Networks

– Neural Processing Letters

Coexistence and Local Stability of Multiple Equilibrium Points for Fractional-Order State-Dependent Switched Competitive Neural Networks with Time-Varying Delays

– Neural Networks

Multiple Asymptotic Stability of Fractional-Order Quaternion-Valued Neural Networks with Time-Varying Delays

– Neurocomputing

Lei Lu | Applied Psychology | Research Excellence Award

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Dr. Lei Lu | Applied Psychology | Research Excellence Award

Peking university | China

Dr. Lei Lu is a Postdoctoral Fellow and Lecturer in Management Psychology at the School of Psychological and Cognitive Sciences, Peking University. He holds a PhD in Management with a specialization in Organizational Behavior and has a strong academic foundation shaped by graduate and undergraduate training in management and related disciplines. His research focuses on AI and algorithmic management, leadership, individual differences, and workplace negative behaviors such as ostracism and conflict, with particular attention to nonlinear relationships in organizational research. Dr. Lu has published extensively in leading SSCI-indexed journals and has accumulated a strong citation record, reflecting the impact of his scholarly work. He has secured competitive research funding from national and provincial sources and has participated in major collaborative research projects. Actively engaged in the academic community, he serves as a reviewer for several high-impact international journals and maintains broad international and cross-institutional research collaborations.

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Featured Publications


From the three-dimensional perspective of college students’ school, family and themselves, exploring the mechanism of proactive personality on career exploration

– International Journal for Educational and Vocational Guidance

The leaders’ shadow: Excessive information spillover in the Chinese stock market

– Accounting & Finance

The Paradox of Parental Workaholism: How Incongruence Promotes Student Engagement and Congruence Reduces Student Engagement

– Applied Research in Quality of Life

Examining the U-shaped relationship between career adaptability and turnover intention: the role of job dissatisfaction and age

– Current Psychology

Children from the poor families seem to grow up earlier: An examination of how family economy stress links to career exploration

– PLOS ONE

Bowen Tang | Robotics | Research Excellence Award

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Mr. Bowen Tang | Robotics | Research Excellence Award

Anhui Xinhua University | China

Bowen Tang is an undergraduate researcher in Robotic Engineering at Anhui Xinhua University, specializing in marine unmanned vessel engineering. His academic training covers core areas such as robot control, autonomous systems, and intelligent marine vehicles. He has actively contributed to a marine robotics laboratory, where his research focuses on cooperative control strategies for multi-type unmanned surface vessels. Bowen Tang has authored a Q2 SCI-indexed journal paper titled Adaptive Dynamic Prediction-Based Cooperative Interception Control Algorithm for Multi-Type Unmanned Surface Vessels, highlighting his capability in advanced control algorithms and autonomous coordination. In addition to scholarly publications, he has been granted acceptance of a national invention patent for an intelligent unmanned feeding vessel designed for aquaculture applications. His research interests integrate adaptive control theory with practical engineering solutions for unmanned marine platforms, demonstrating a strong commitment to innovation, applied research, and the advancement of intelligent maritime technologies.

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Featured Publications


Adaptive Dynamic Prediction-Based Cooperative Interception Control Algorithm for Multi-Type Unmanned Surface Vessels

– Journal of Marine Science and Engineering

Pratik Kad | Paleoclimatology | Research Excellence Award

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Dr. Pratik Kad | Paleoclimatology | Research Excellence Award

NORCE Norwegian Research Center | Norway

Pratik Kad is an atmospheric and climate scientist specializing in climate dynamics, climate modeling, paleoclimate, and mountain hydroclimate. He is a Postdoctoral Fellow at NORCE Norwegian Research Centre and an Affiliate Researcher at the Bjerknes Centre for Climate Research in Bergen, Norway. His research focuses on understanding atmospheric processes across past, present, and future climates, with particular emphasis on monsoon dynamics, elevation-dependent warming, and hydroclimatic changes in mountainous regions. His work integrates observational data, climate model simulations, and paleoclimate experiments to assess climate variability and long-term climate responses. Pratik has contributed to international scientific initiatives through active service in global climate research communities, including leadership and advisory roles supporting early-career scientists and climate information for society. His research has received international recognition and has been highlighted by prominent scientific and policy platforms. In addition to his research, he serves as a peer reviewer for leading journals in climate and environmental sciences and as an expert reviewer for major international climate assessment reports.

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Featured Publications


Flood modeling prior to the instrumental era reveals limited magnitude of the 1931 Yangtze flood

– npj Climate and Atmospheric Science

Atmospheric Stabilization Weakened Proto–Low-Level Jet Over the Indian Ocean During the Eocene Hothouse

– Paleoceanography and Paleoclimatology

Enhanced hydrological modeling with the WRF-Hydro lake–reservoir module at a convection-permitting scale

– Hydrology and Earth System Sciences

Impact of Hindu Kush Himalayan snow cover change on Monsoon Circulation

– Preprint

Uneven global retreat of persistent mountain snow cover alongside mountain warming from ERA5-Land

– npj Climate and Atmospheric Science

Solange Peters | Oncology | Research Excellence Award

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Prof. Solange Peters | Oncology | Research Excellence Award

Lausanne University | Switzerland

Dr. Solange Peters is an internationally recognized medical oncologist and academic leader specializing in thoracic oncology. She serves as Director of the Oncology Department at Lausanne University Hospital and is a Full Professor at the University of Lausanne. Dr. Peters is widely known for her expertise in lung cancer, immunotherapy, and precision oncology, with a strong focus on clinical research and translational medicine. She has led and coordinated numerous international multicenter clinical trials and has contributed significantly to advancing treatment standards for thoracic malignancies. With extensive experience in medical education, she is actively involved in training oncology professionals worldwide. Dr. Peters has authored more than 500 peer-reviewed scientific publications and serves in key editorial roles for leading oncology journals. She has held prominent leadership positions in major international oncology organizations and is a strong advocate for multidisciplinary cancer care, innovation in clinical research, and the advancement of women in oncology.

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Regulation of laboratory-developed tests and in-house in vitro diagnostic medical devices in the United States and the European Union—a comparative overview

– Review Article (Open Access)

Quality improvement report: Investigating barriers in HIV testing oncology patients to optimize HIV testing practice

– HIV Medicine

Tumor immune dynamics and long-term clinical outcome of stage IIIA NSCLC patients treated with neoadjuvant chemoimmunotherapy

– Nature Communications

Brief Report: Post Hoc Validation of Platinum Ineligibility in NSCLC From the Phase III IPSOS Study

– Journal of Thoracic Oncology

Transcriptome analysis of archived tumors by Visium, GeoMx DSP, and Chromium reveals patient heterogeneity

– Nature Communications

Xuan Feng | Forecasting | Research Excellence Award

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Dr. Xuan Feng | Forecasting | Research Excellence Award

EDHEC Business School | Hungary

Xuan Feng is a finance researcher and practitioner specializing in asset pricing, fixed income, investment strategies, portfolio construction, ESG, and machine learning applications in finance. He is pursuing doctoral research in finance at EDHEC Business School, focusing on risk premia, yield curve dynamics, and advanced quantitative methods. His academic background spans finance, management, international business, and engineering mechanics, providing a strong interdisciplinary foundation. Xuan’s research includes innovative work on cross-currency carry strategies, correlation forecasting in yield curves using PCA-based models, and the integration of responsible AI in financial markets. His scholarly contributions have been published in leading international journals covering financial analysis, green finance, forecasting, and applied machine learning. Alongside research, he has extensive teaching experience in portfolio management, quantitative finance, statistics, financial econometrics, and data analysis at master’s and undergraduate levels across international institutions. Professionally, he works in model risk management at a global investment bank, applying quantitative rigor to real-world financial models. Xuan also brings entrepreneurial experience from founding ventures in online education and fashion. He holds multiple global professional certifications and is proficient in advanced programming, data science, and financial modeling tools, with fluency in Chinese, English, and French.

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Featured Publications


The impact of ESG performances on analyst report readability: Evidence from China

– International Review of Financial Analysis

Machine learning approaches to predicting energy price correlation: From a responsible AI perspective

– Technological Forecasting and Social Change

Predicting Corporate Financial Risk Using Artificial Bee Colony–Attention–Gated Recurrent Unit Model

– Journal of Organizational and End User Computing

Do US Government and Commercial Media Concern Similar Topics? A Text-mining (NLP) Approach

– BOHR International Journal of Computer Science

The Analysis of Two-Way E-Commerce Credit Evaluation Model Based on the C2C Mode

– Journal of Global Information Management