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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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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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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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

Yasunori Aoki | Electroencephalography | Research Excellence Award

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Dr. Yasunori Aoki | Electroencephalography | Research Excellence Award

Nippon Life Hospital | Japan

Dr. Yasunori Aoki, MD, PhD, is a physician–scientist specializing in psychiatry and clinical neuroscience, currently affiliated with the Department of Psychiatry at Osaka University Graduate School of Medicine, Japan. With a strong interdisciplinary foundation, he was initially trained in physics before completing his medical education and advanced clinical neuroscience training, allowing him to integrate quantitative scientific approaches into clinical research. His academic and professional work centers on the clinical application of neurophysiological methods, particularly electroencephalography and magnetoencephalography, to better understand brain function and dysfunction. Dr. Aoki’s doctoral research focused on advanced EEG and neuronal activity topography analyses to predict treatment outcomes in neurological and psychiatric disorders, reflecting his commitment to translational research that bridges neuroscience and patient care. His research interests span psychiatry, cognitive neuroscience, and clinical neurophysiology, with particular emphasis on schizophrenia, dementia, epilepsy, autism, depression, and neurodevelopmental and neurodegenerative conditions. He is especially interested in brain oscillations, endophenotypes, resting-state networks, event-related potentials, and neuromodulation techniques such as transcranial magnetic stimulation. Through his work, Dr. Aoki aims to advance objective biomarkers and neurophysiological tools to improve diagnosis, prognosis, and therapeutic strategies in psychiatry and neurology.

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PyCaret machine learning library with three preprocessing steps after eLORETA source estimation predicts Alzheimer’s disease

– NeuroImage: Reports

EEG Oscillatory Activity and Resting-State Networks Associated with Neurocognitive Function in Mild Traumatic Brain Injury

– Clinical EEG and Neuroscience

Predicting Workers’ Stress: Application of a High-Performance Algorithm Using Working-Style Characteristics

– JMIR AI

Normalized Power Variance: A New Field Orthogonal to Power in EEG Analysis

– Clinical EEG and Neuroscience

Cortical electrical activity changes in healthy aging using EEG-eLORETA analysis

– NeuroImage: Reports

Chanyuan Jin | Regeneration | Research Excellence Award

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Prof. Chanyuan Jin | Regeneration | Research Excellence Award

Peking University School and Hospital for Stomatology | China

Dr. Chanyuan Jin is an Associate Research Fellow at the Peking University School and Hospital for Stomatology, with advanced expertise in prosthodontics, stem cell biology, and regenerative medicine. She is widely recognized as a young scientific talent at both national and regional levels and leads cutting-edge research on stem cell osteogenic differentiation and bone tissue regeneration. Her work focuses on developing innovative biomaterials and tissue engineering strategies for hard and soft tissue repair, with strong translational relevance to dental and orthopedic applications. Dr. Jin has secured multiple highly competitive research grants and has authored more than 20 peer-reviewed scientific publications, along with contributions to academic book chapters. Her research excellence has been acknowledged through prestigious awards, including international recognition in tissue engineering. In addition to her academic achievements, she actively bridges industry and academia through collaborative training and research programs with leading biomedical companies, guiding postdoctoral researchers in translational and product-oriented studies. Dr. Jin also holds several patents related to medical imaging analysis, biomaterials, and regenerative technologies. She serves on editorial boards of respected international and national journals and contributes to scientific peer review and academic leadership. Through her interdisciplinary approach, clinical insight, and mentorship, Dr. Jin continues to make significant contributions to advancing regenerative dentistry and craniofacial rehabilitation.

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Dual-responsive nanoparticle system for enhanced blood-brain barrier crossing and glioblastoma penetration

– Biomaterials

Optimizing hydrogen peroxide shock treatment frequencies for dental unit waterlines contamination control: a pilot study

– BMC Oral Health

Fast response cathodic electrochemiluminescence sensor based on closed bipolar electrode for point-of-care blood glucose testing

– Talanta

High-Entropy Environments Enable Metal Surface-Catalyzed Nucleophilic Electrooxidation

– Angew Chem Int Ed Engl

Integrated trilayer nanofiber membrane with tailored antibacterial, antioxidant, and mechanical properties for accelerated infected wound healing

– Nano Research

Yifan Dai | Petroleum Engineering | Research Excellence Award

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Mr. Yifan Dai | Petroleum Engineering | Research Excellence Award

China University of Petroleum-Beijing at Karamay | China

Dr. Yifan Dai is a lecturer at the Karamay Campus of China University of Petroleum–Beijing, specializing in petroleum engineering with a strong focus on rock mechanics and unconventional reservoir development. His academic training spans bachelor’s, master’s, and doctoral studies in petroleum engineering, providing him with a solid theoretical foundation and advanced research expertise. Dr. Dai’s research centers on hydraulic fracturing, multi-physics field numerical simulation, phase-field methods, and crack propagation mechanisms in complex geological media. He has made significant contributions to understanding fracture initiation and evolution in basalt, carbonate, and volcanic reservoirs, with particular emphasis on thermal–hydraulic–mechanical–chemical coupling processes. His work integrates numerical modeling, experimental investigation, and engineering application to improve stimulation efficiency and reservoir connectivity. Dr. Dai has authored multiple peer-reviewed journal articles and conference papers in leading international venues, and he has contributed to a scholarly book in his field. He is actively involved in key laboratory research projects focused on carbon-efficient utilization and subsurface storage technologies. In addition, he serves on a young academic committee of a professional journal, reflecting his engagement with the broader research community. Through his research and teaching, Dr. Dai continues to advance innovative methodologies for fracture modeling and sustainable development of oil and gas resource

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A Thermal–Hydraulic–Mechanical–Chemical Coupling Model for Acid Fracture Propagation Based on a Phase-Field Method

– Rock Mechanics and Rock Engineering

Experimental Study on Evaluation of Propped Fracture Conductivity of Conglomerate Reservoir in Baikouquan Formation of Ma-A Well Area of Xinjiang Oilfield

– SSRN

Influencing Factors of Acid Etching Fracture Conductivity of Tuff Reservoir in Northeastern Sichuan Block

– U.S. Rock Mechanics/Geomechanics Symposium

Numerical Simulation of Pores Connection by Acid Fracturing Based on Phase Field Method

– Acta Petrolei Sinica

Hydraulic Fracturing Fracture Propagation in Tight Sandstone Reservoir

– IOP Conference Series: Earth and Environmental Science

Chao Wang | Hepatobiliary | Research Excellence Award

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Dr. Chao Wang | Hepatobiliary | Research Excellence Award

Hangzhou First People’s Hospital | China

Dr. Chao Wang is a surgeon specializing in hepato-pancreato-biliary surgery and liver transplantation at The Affiliated Hangzhou First People’s Hospital of Zhejiang University, where he is actively involved in advanced clinical care, research, and surgical innovation. He received comprehensive medical training in general surgery and has developed strong expertise in liver transplantation, hepatobiliary malignancies, and pancreatic diseases. His clinical practice focuses on complex surgical management and post-transplant outcomes, integrating precision medicine into patient care. Dr. Wang’s research centers on the molecular and genetic mechanisms influencing liver transplantation outcomes, hepatocellular carcinoma recurrence, graft fibrosis, and metabolic complications following transplantation. He has authored multiple peer-reviewed publications in internationally recognized journals, addressing donor gene polymorphisms, tumor recurrence prediction models, coagulation biomarkers, non-coding RNA regulatory networks, and immunosuppressive strategies. His work demonstrates a strong translational approach, bridging molecular research with clinical application to improve prognostic accuracy and therapeutic decision-making in liver transplantation and hepatobiliary surgery. In addition to his research contributions, Dr. Wang actively participates in funded scientific projects, contributing to studies on liver fibrosis, exosome-mediated regulation, and liver injury mechanisms. His combined clinical expertise, research productivity, and commitment to improving transplant outcomes position him as a dedicated and impactful physician-scientist in the field of hepatobiliary and transplant surgery.

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Donor One-Carbon Metabolism Gene Single Nucleotide Polymorphisms Predict the Susceptibility of Cancer Recurrence after Liver Transplantation

– Gene

The MTHFR Polymorphism Affects the Susceptibility of Hepatocellular Carcinoma and the Prognosis of HCC Liver Transplantation

– Clinical and Translational Oncology

A Model Integrating Donor Gene Polymorphisms Predicts Fibrosis after Liver Transplantation

– Aging

Identification and Verification of a Novel MAGI2-AS3/miRNA-374-5p/FOXO1 Network Associated with HBV-Related Hepatocellular Carcinoma

– Cells

An Integrated Model of Fibrinogen and D-Dimer for Predicting Hepatocellular Carcinoma Recurrence Following Liver Transplantation: A Multicentre Study

– American Journal of Translational Research