Yueh-Hung Lin | Cardiovascular | Best Researcher Award

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Dr. Yueh-Hung Lin | Cardiovascular | Best Researcher Award

Physician at MacKay Memorial Hospital, Taiwan

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Summary

Dr. Yueh-Hung Lin is a physician and board-certified cardiologist from Taiwan with extensive experience in coronary intervention, endovascular therapy (EVT), and cardiovascular imaging. He served at MacKay Memorial Hospital, where he was actively involved in diagnosing and treating complex cardiovascular conditions. Dr. Lin's clinical expertise spans both invasive and non-invasive techniques, with a strong focus on improving outcomes for patients with coronary and peripheral artery diseases. His work reflects a commitment to excellence in patient care, advanced imaging, and interventional cardiology.

Educational Details

Dr. Lin earned his Doctor of Medicine (M.D.) degree and is a board-certified cardiologist with specialization in coronary intervention, endovascular therapy (EVT), and cardiovascular imaging. His academic training emphasized both clinical proficiency and technical acumen, equipping him for a career that spans bedside cardiology and computational vascular modeling.

Professional Experience

Dr. Lin served as a physician and cardiovascular specialist at MacKay Memorial Hospital, where he led and collaborated on multiple research projects involving vascular imaging and interventional therapies. His work extended into computational domains, using clinical datasets to model blood flow dynamics and arterial networks. His practical expertise includes performing coronary and peripheral interventions and optimizing treatment protocols using imaging-derived analytics.

Research Interests

Dr. Lin's research focuses on the integration of clinical cardiology with network science, particularly through computed tomographic analysis, tissue composition studies, and muscle density evaluation. His work in cardiovascular network modeling has enabled new insights into disease progression, intervention planning, and vascular health monitoring. He leverages graph-theoretical approaches to simulate arterial structures and identify biomarkers in conditions like coronary artery disease (CAD) and peripheral artery disease (PAD).

Author Metrics

Dr. Lin maintains an active research presence on platforms such as ResearchGate, where his contributions to cardiovascular imaging, angiographic analysis, and vascular modeling are accessible. His publications reflect a growing academic impact in interdisciplinary cardiovascular research, with citations from both clinical and engineering domains.

Awards and Honors

Dr. Lin has been recognized for his pioneering work at the intersection of cardiology and data analytics. His awards and grants highlight contributions to innovation in vascular diagnostics, including support from institutional and national bodies. These accolades underscore his role as a forward-thinking clinician-researcher advancing the application of network science in healthcare.

Publication Top Notes

1. TwPAD Registry: A Prospective, Multicenter Registry of Chronic Peripheral Arterial Disease Involving Lower Limbs in Taiwan

Authors: Y.H. Lin, C.H. Hsu, J.K. Lee, P.C. Hsu, C.Y. Lee, C.C. Chen, P.W. Chen, H.P. Wu, et al.
Journal: Journal of the Chinese Medical Association, Vol. 88(5), pp. 389–397, 2025
Summary:
This multicenter registry highlights the epidemiological and clinical characteristics of chronic peripheral artery disease (PAD) in the Taiwanese population. Dr. Lin contributed to the design and implementation of this registry, which provides critical insights into PAD prevalence, risk stratification, and therapeutic patterns in East Asia.

2. Fluid Intake Impact on Heart Failure: Systematic Review and Meta-Analysis With Trial Sequential Analysis

Authors: S.M. Hsu, Y.H. Lin, Y.C. Lin, S.J. Liu, C.J. Liu, C.L. Hung, T.J. Wang
Journal: Journal of the Formosan Medical Association, 2024
Summary:
This study explores the impact of fluid intake on heart failure outcomes through a comprehensive meta-analysis and trial sequential analysis. Dr. Lin contributed clinical insights and data interpretation to inform fluid management guidelines for heart failure patients.

3. Preclinical Systolic Dysfunction Relating to Ankle-Brachial Index Among High-Risk PAD Population With Preserved Left Ventricular Ejection Fraction

Authors: Y.H. Lin, K.T. Sung, C.T. Tsai, Y.H. Lai, C.I. Lo, F.C. Yu, W.R. Lan, T.C. Hung, et al.
Journal: Scientific Reports, Vol. 14(1), Article 6145, 2024
Summary:
This study investigates the link between subtle systolic dysfunction and abnormal ankle-brachial index (ABI) in high-risk PAD patients. It underscores Dr. Lin's interest in early-stage cardiovascular dysfunction detection and his integrative research approach combining imaging and vascular markers.

4. Penalized Model-Based Unsupervised Phenomapping Unravels Distinctive HFrEF Phenotypes With Improved Outcomes Discrimination From Sacubitril/Valsartan Treatment

Authors: K.T. Sung, H.Y. Chang, N.W. Hsu, W.H. Huang, Y.H. Lin, C.H. Yun, C.C. Hsiao, et al.
Journal: Journal of the American Heart Association, Vol. 12(18), Article e028860, 2023
Summary:
Employing advanced machine learning and phenomapping, this research reveals distinctive phenotypes in heart failure with reduced ejection fraction (HFrEF). Dr. Lin contributed to the clinical framing and validation of predictive outcomes, helping identify patient subsets who benefit most from Sacubitril/Valsartan therapy.

5. Association of Region-Specific Cardiac Adiposity With Dysglycemia and New-Onset Diabetes

Authors: K.T. Sung, J.Y. Kuo, C.H. Yun, Y.H. Lin, J.P. Tsai, C.I. Lo, C.C. Hsiao, Y.H. Lai, et al.
Journal: Journal of the American Heart Association, Vol. 10(24), Article e021921, 2021
Summary:
This paper explores the association between cardiac fat deposition and dysglycemia progression. Dr. Lin played a significant role in the integration of imaging and metabolic data, highlighting how region-specific adiposity contributes to cardiometabolic disease development.

Conclusion

Dr. Yueh-Hung Lin stands out as an exceptionally qualified nominee for the Best Researcher Award in Cardiovascular Science. His blend of clinical insight, academic rigor, and impactful publication record demonstrates a strong commitment to advancing patient care through evidence-based and data-enhanced medicine. While there is room for further leadership visibility on a global platform, his existing achievements clearly position him as a deserving and promising recipient of this prestigious honor.

Benyou Wang | Language Models | Best Researcher Award

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Mr. Benyou Wang | Language Models | Best Researcher Award

School of Data Science at The Chinese University of Hong Kong, Shenzhen, China

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Summary

Dr. Benyou Wang is an Assistant Professor jointly appointed in the School of Data Science and the School of Medicine at The Chinese University of Hong Kong, Shenzhen. He is also a Vice Director at the Center for Medical Artificial Intelligence and a Principal Investigator (PI) of multiple projects related to large language models (LLMs) and healthcare AI. Dr. Wang is a recipient of the prestigious Marie Skłodowska-Curie Fellowship and has spearheaded the development of "HuatuoGPT," the first large-scale medical LLM successfully deployed across 11 public hospitals in Shenzhen, impacting over half a million residents. His work bridges scientific innovation, real-world implementation, and industrial transformation, earning widespread media and institutional acclaim.

Educational Background

Dr. Wang earned his Ph.D. in Information Science and Technology from the University of Padua, Italy (2018–2022), funded by the EU's Marie Skłodowska-Curie Actions. He holds an M.Sc. in Computer Science from Tianjin University, China (2014–2017), where he specialized in pattern recognition and intelligent systems, and a B.Sc. in Software Engineering from Hubei University of Automotive Technology (2010–2014). He completed his secondary education at the prestigious Huanggang Middle School in Hubei Province.

Professional Experience

Dr. Wang began his career as an associate researcher at Tencent and later joined the University of Padua as a full-time Marie Curie Researcher. He has held visiting research appointments at institutions like the University of Montreal, University of Amsterdam, University of Copenhagen, and the Chinese Academy of Sciences. He interned at Huawei’s Noah’s Ark Lab and has delivered numerous invited talks worldwide. Since 2022, he has been teaching and leading research at CUHK-Shenzhen while supervising multiple Ph.D. and undergraduate students.

Research Interests

Dr. Wang’s research focuses on large language models (LLMs), their applications in vertical domains like healthcare and multilingual systems, quantum-inspired natural language processing, and information retrieval. He is deeply involved in the development of explainable AI, multimodal LLMs, and efficient LLM training. His work often explores the theoretical foundations of LLM alignment and evaluation and has recently expanded into medical reasoning and visual-language integration.

Author Metrics

Dr. Wang has authored over 40 peer-reviewed papers in top-tier venues such as ICLR, NeurIPS, ICML, NAACL, ACL, EMNLP, SIGIR, and AAAI. As of April 2024, his Google Scholar profile reports over 4,965 citations and an H-index of 37. He is the first or corresponding author on several high-impact studies and is actively engaged as a reviewer and Area Chair for major NLP and ML conferences.

Awards and Honors

Dr. Wang has received multiple Best Paper Awards, including at ICLR Financial AI 2025, NLPCC 2022, NAACL 2019, and SIGIR 2017. He was honored with the Huawei Spark Award (presented by Ren Zhengfei), and his HuatuoGPT project has been recognized in national strategic AI deployment plans. He also earned funding from Tencent’s Rhino-Bird Project, Huawei’s AI Top 100 Universities Program, and CCF-DiDi’s Gaia Scholar Initiative. His work has been featured in Nature, CCTV, Financial Times, and Global Times, among others.

Publication Top Notes

1. Learning from Peers in Reasoning Models

Authors: T. Luo, W. Du, J. Bi, S. Chung, Z. Tang, H. Yang, M. Zhang, B. Wang
Venue: arXiv preprint arXiv:2505.07787
Year: 2025
Summary:
This paper proposes a novel peer-learning framework where multiple large language models (LLMs) interact to enhance their reasoning abilities. By sharing intermediate reasoning steps and critiques, the models improve logical consistency and performance across various reasoning tasks.

2. Pushing the Limit of LLM Capacity for Text Classification

Authors: Y. Zhang, M. Wang, Q. Li, P. Tiwari, J. Qin
Venue: Companion Proceedings of the ACM on Web Conference 2025, pp. 1524–1528
Year: 2025
Summary:
The study investigates the potential of large language models for multi-class text classification without traditional fine-tuning. Using prompt engineering and strategic data augmentation, the authors demonstrate competitive or superior performance compared to classical approaches.

3. Beyond Binary: Towards Fine-Grained LLM-Generated Text Detection via Role Recognition and Involvement Measurement

Authors: Z. Cheng, L. Zhou, F. Jiang, B. Wang, H. Li
Venue: Proceedings of the ACM on Web Conference 2025, pp. 2677–2688
Year: 2025
Summary:
This work moves beyond binary classification of AI-generated text and introduces a fine-grained detection system that recognizes multiple roles and the degree of AI involvement. The proposed model offers better insights into collaborative human-AI authored content.

4. UCL-Bench: A Chinese User-Centric Legal Benchmark for Large Language Models

Authors: R. Gan, D. Feng, C. Zhang, Z. Lin, H. Jia, H. Wang, Z. Cai, L. Cui, Q. Xie, ... B. Wang (et al.)
Venue: Findings of the Association for Computational Linguistics: NAACL 2025, pp. 7945–7988
Year: 2025
Summary:
This paper introduces UCL-Bench, a comprehensive legal benchmark in Chinese designed for evaluating LLMs in real-world legal advisory tasks. It emphasizes user intent, fairness, and practical utility, and serves as a tool for the responsible deployment of legal AI systems.

5. Huatuo-26M: A Large-scale Chinese Medical QA Dataset

Authors: X. Wang, J. Li, S. Chen, Y. Zhu, X. Wu, Z. Zhang, X. Xu, J. Chen, J. Fu, X. Wan, ... B. Wang (et al.)
Venue: Findings of the Association for Computational Linguistics: NAACL 2025, pp. 3828–3848
Year: 2025
Summary:
Huatuo-26M is a massive, high-quality Chinese medical question-answering dataset with 26 million entries. It supports the development of specialized medical LLMs like HuatuoGPT, which has been implemented in clinical settings and widely adopted across hospitals in Shenzhen.

Conclusion

Dr. Benyou Wang exemplifies the modern researcher's ideal, seamlessly combining technical depth, interdisciplinary application, global engagement, and measurable societal impact. His pioneering contributions—such as the development and real-world deployment of HuatuoGPT in healthcare, the creation of multilingual LLM benchmarks, and innovative work on fine-grained AI-generated content detection—underscore his leadership in advancing language model research. With a proven trajectory of sustained excellence, high-impact publications, and international recognition, Dr. Wang is not only a strong nominee but also a front-runner for the Best Researcher Award in Language Models. His continued expansion into global collaboration and theoretical grounding promises to shape the future landscape of natural language processing.

Wei Liu | Neuromorphic | Best Researcher Award

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Dr. Wei Liu | Neuromorphic | Best Researcher Award

Doctor at Sun Yat-Sen University, China

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Summary

Dr. Wei Liu is a dedicated postdoctoral researcher specializing in microelectronics, hardware security, and neuromorphic computing. Based in Guangzhou, he is currently affiliated with the School of Microelectronics Science and Technology at Sun Yat-sen University. With a strong foundation in communications and microelectronics, Dr. Liu has built a multidisciplinary research profile at the intersection of neural hardware, stochastic computing, and secure circuit design. As an IEEE member, he actively contributes to the academic community through impactful publications and collaborative projects.

Educational Details

Dr. Liu earned his Ph.D. in Microelectronics and Solid-State Electronics from Sun Yat-sen University in 2024, where he focused on integrating stochastic methods with neuromorphic design. He completed his M.S. in Microelectronics from Tsinghua University, Beijing, in 2015, gaining advanced training in semiconductor devices and circuit design. His academic journey began with a B.S. in Communications Engineering from Wuhan University of Technology in 2010, laying the foundation for his future research in intelligent and secure hardware systems.

Professional Experience

Currently, Dr. Liu serves as a postdoctoral researcher at the School of Microelectronics Science and Technology, Sun Yat-sen University. In this role, he is engaged in cutting-edge research projects involving neuromorphic hardware development, stochastic computing applications, and secure architecture design. His work includes system-level modeling, hardware acceleration, and circuit optimization for low-power and fault-tolerant computing. He has collaborated with leading researchers and contributed to multiple high-impact journals and conferences.

Research Interests

Dr. Liu's primary research interests lie in neuromorphic computing, where he develops brain-inspired systems for efficient and adaptive processing; stochastic computing, exploring its potential in energy-constrained and approximate computing; and hardware security, focusing on resilient architectures and cryptographic techniques to mitigate vulnerabilities in modern electronic systems. His interdisciplinary approach addresses pressing challenges in next-generation intelligent electronics.

Author Metrics

Dr. Liu has co-authored several peer-reviewed articles in high-impact journals such as IEEE Transactions on Biomedical Circuits and Systems and Electronics. Notable publications include innovations in approximate spiking neural networks and biologically plausible neuron models using stochastic computation. His work has been cited for its contributions to low-cost and energy-efficient neuromorphic architectures. His metrics reflect a growing influence in the field of microelectronics and computational neuroscience.

Awards and Honors

Dr. Liu has been recognized for his academic excellence and research contributions, earning accolades at national and international conferences. His work on SC-IZ and SC-PLR has received attention for bridging biological plausibility with practical neuromorphic hardware implementations. As an IEEE member, he actively participates in technical communities and workshops, contributing to the advancement of low-power intelligent systems.

Publication Top Notes

1. SCSC: Leveraging Sparsity and Fault-Tolerance for Energy-Efficient Spiking Neural Networks

  • Publication Date: January 20, 2025

  • Publication Type: Conference Paper

  • Conference: 30th Asia and South Pacific Design Automation Conference (ASP-DAC)

  • DOI: 10.1145/3658617.3697718

  • Contributors: Bo Li, Yue Liu, Wei Liu, Jinghai Wang, Xiao Huang, Zhiyi Yu, Shanlin Xiao

  • Summary: This paper presents the SCSC framework that enhances energy efficiency in spiking neural networks by leveraging neuron-level sparsity and fault-tolerance features. It targets low-power applications in neuromorphic computing systems.

2. SC-PLR: An Approximate Spiking Neural Network Accelerator With On-Chip Predictive Learning Rule

  • Publication Date: October 2024

  • Publication Type: Journal Article

  • Journal: IEEE Transactions on Biomedical Circuits and Systems

  • Contributors: Wei Liu, Shanlin Xiao, Yue Liu, Zhiyi Yu

  • Summary: SC-PLR introduces a neuromorphic accelerator using a novel predictive learning rule implemented on-chip. It reduces computational complexity while maintaining biological plausibility and hardware efficiency.

3. SC-IZ: A Low-Cost Biologically Plausible Izhikevich Neuron for Large-Scale Neuromorphic Systems Using Stochastic Computing

  • Publication Date: February 27, 2024

  • Publication Type: Journal Article

  • Journal: Electronics (MDPI), Volume 13, Issue 5, Article 909

  • Contributors: Wei Liu, Shanlin Xiao, Bo Li, Zhiyi Yu

  • Summary: This work proposes SC-IZ, a biologically plausible and low-cost implementation of the Izhikevich neuron using stochastic computing, scalable for large neuromorphic systems.

4. Low-Cost Adaptive Exponential Integrate-and-Fire Neuron Using Stochastic Computing

  • Publication Date: October 2020

  • Publication Type: Journal Article

  • Journal: IEEE Transactions on Biomedical Circuits and Systems, Volume 14, Issue 5, Pages 942–950

  • Contributors: Shanlin Xiao, Wei Liu, Yuhao Guo, Zhiyi Yu

  • Summary: This paper introduces a compact, low-power model of the adaptive exponential integrate-and-fire neuron leveraging stochastic computing techniques for improved resource efficiency in neuromorphic hardware.

Conclusion

Dr. Wei Liu is an outstanding candidate for the Best Researcher Award in neuromorphic and secure computing, with groundbreaking contributions at the intersection of biology and technology. His innovative work on energy-efficient neural hardware, stochastic computing, and hardware security is shaping the future of intelligent systems. While expanding his global visibility could further amplify his impact, his research trajectory reflects not just promise but accelerating momentum, making him a deserving recipient of this recognition.

Vishwambhar Prasad Sati | Geography | Best Researcher Award

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Prof. Dr. Vishwambhar Prasad Sati | Geography | Best Researcher Award

Senior Professor at Mizoram University, Aizawl, India

Professional Profile

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Summary

Prof. Vishwambhar Prasad Sati is a Senior Professor in the Department of Geography and Resource Management at Mizoram University (A Central University), Aizawl, India. With over 28 years of diverse academic and administrative experience, he is an internationally recognized scholar in mountain geography, sustainable development, and natural resource management. His work spans across continents, and he is actively engaged in global academic collaborations. Prof. Sati has also served in key academic leadership roles both in India and abroad and is currently affiliated as a Visiting Professor and Global Fellow at several international institutions.

Educational Details

Prof. Sati holds a Doctor of Letters (D.Litt.) in Geography from Jiwaji University, Gwalior (2011), a Ph.D. in Geography from HNB Garhwal University (1992), and an M.A. in Geography from the same institution (1989). He qualified the National Eligibility Test (NET) in Geography in 1997, conducted by the Indian Council of Agricultural Research, New Delhi.

Professional Experience

Prof. Sati began his academic career as an Assistant Professor in Madhya Pradesh in 1994 and progressed to the ranks of Associate and full Professor, later joining Mizoram University through direct selection in 2012. Since 2021, he has served as Senior Professor at Mizoram University. His international teaching tenure includes serving as an Associate Professor and Head of the Department of Geography at Eritrea Institute of Technology (2005–2007). He has held several academic leadership roles, including Head of the Centre for Disaster Management at Mizoram University (since 2023) and Head of the Department of Geography and RM (2016–2019). Earlier, he also held administrative positions in Government PG Colleges in Madhya Pradesh and Eritrea.

Research Interests

Prof. Sati's research focuses on mountain geography, sustainable development, natural resource management, disaster risk reduction, rural transformation, and climate change impacts. His interdisciplinary approach integrates field-based observations, sustainable livelihoods, and policy-based strategies for environmental management, especially in fragile ecosystems such as the Himalayas.

Author Metrics

Prof. Sati maintains a strong scholarly presence with an extensive publication record indexed in Scopus, ResearchGate, and Google Scholar. His research is widely cited and reflects a consistent focus on sustainability, hazard risk, and mountain ecosystems. He has been recognized among the top 0.5% of scholars worldwide based on publication volume and impact. His academic content is accessible through various platforms including YouTube, Medium, and institutional repositories.

Awards and Honors

Prof. Sati has been honored with numerous awards and fellowships, including the Golden Achiever Award (2023), Best Research Paper Award (Elsevier, 2023), and multiple Visiting Professorships across Ukraine, China, and Canada. Notably, he was a Presidential Fellow at the Chinese Academy of Sciences (2016) and has been recognized by the World Academy of Sciences, Indian National Science Academy, and ICSSR for his outstanding contributions. His accolades include more than a dozen international fellowships and over 50 international visits for academic purposes.

Publication Top Notes

1. Exploring Livelihood Opportunities in the Kali Kumaon Region of Uttarakhand Himalaya

Author: VP Sati
Journal: African Journal of Rural Development, Vol. 10(1), pp. 1–16
Year: 2025
Summary:
This paper examines alternative livelihood opportunities in the Kali Kumaon region of the Uttarakhand Himalaya. It emphasizes region-specific strategies to shift communities from subsistence-based livelihoods to more diversified and sustainable sources of income, including eco-tourism, agro-forestry, and local entrepreneurship.

2. Socio-Economic and Environmental Impacts of Jamrani Irrigation Dam Project, Kumaon Himalaya, India

Author: VP Sati
Journal: Rural and Regional Development, Vol. 3(3), Article ID: 10007
Year: 2025
Summary:
This article critically assesses the Jamrani Irrigation Dam Project in terms of its developmental promises and environmental trade-offs. It investigates socio-economic transformations, resettlement issues, and ecological changes, offering policy-level recommendations for inclusive and sustainable development.

3. Sustainable Homestay Tourism for Enhancing Rural Livelihood in the Uttarakhand Himalaya: A Study of the Tons River Basin

Authors: VP Sati, S Banerjee
Journal: BIO Web of Conferences, Vol. 151, Article No. 03001
Year: 2025
Summary:
This paper presents homestay tourism as a model for sustainable rural livelihood in the Tons River Basin. By linking local culture, traditional architecture, and natural beauty to community-based tourism, it promotes economic resilience and environmental stewardship.

4. A Brief Introduction to Cultural Geography of the Central Himalaya, India

Author: VP Sati
Book Chapter In: Sacred Landscapes, Indigenous Knowledge, and Ethno-culture in Natural Resource Management
Year: 2024
Summary:
This chapter introduces the cultural landscape of the Central Himalaya, focusing on indigenous traditions, sacred geography, and ethnographic heritage. It explains how cultural practices are deeply interwoven with ecological knowledge and sustainable resource use.

5. Spatio‐Temporal Assessment of Areal Fragmentation and Volume of Snow Cover in the Central Himalaya

Authors: SB, VP Sati, MAS Chakraborty
Journal: Earth Systems and Environment
Year: 2024
Summary:
This research utilizes remote sensing and GIS to monitor snow cover fragmentation and volume trends in the Central Himalaya. The findings reveal significant climatic shifts affecting snow distribution, with implications for hydrological regimes and regional water security.

Conclusion

Prof. Dr. Vishwambhar Prasad Sati is an outstanding researcher with a proven track record of scholarly rigor, societal relevance, and global academic engagement. His recent publications, international awards, and ongoing contributions to mountain research, sustainable development, and rural livelihood studies strongly support his nomination and candidacy for the Best Researcher Award.

Changda Lei | Artificial intelligence | Best Academic Researcher Award

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Dr. Changda Lei | Artificial intelligence | Best Academic Researcher Award

Resident physician at First Affiliated Hospital of Soochow University, China

Professional Profile

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Summary

Dr. Changda Lei is a medical doctor and early-career researcher specializing in gastrointestinal tumors, digestive endoscopy, and artificial intelligence (AI) in clinical diagnostics. He is currently affiliated with the Department of Gastroenterology at the First Affiliated Hospital of Soochow University, China. His interdisciplinary expertise bridges medical imaging, clinical gastroenterology, and AI-driven diagnostic systems, with a particular focus on enhancing early cancer detection.

Educational Details

Dr. Lei earned his Doctor of Medicine degree with a residency in Gastroenterology from the First Affiliated Hospital of Soochow University, China. His doctoral thesis, titled “Artificial intelligence for early gastric cancer boundary recognition in NBI and NF-NBI endoscopic images,” was supervised by Prof. Rui Li and represents a significant contribution to AI applications in endoscopic image analysis for early cancer detection.

Professional Experience

During his residency and doctoral training at Soochow University, Dr. Lei gained clinical and research experience in gastroenterological procedures and endoscopic imaging. He has collaborated closely with multidisciplinary teams, including radiologists, computer scientists, and oncologists, to develop and validate AI-assisted diagnostic tools. His co-authored works involve both methodological development and clinical validation, marking him as a key contributor to translational medicine in the field of digestive oncology.

Research Interests

Dr. Lei’s research interests lie at the intersection of gastrointestinal tumor diagnostics, digestive endoscopy, and artificial intelligence. He focuses on improving early detection of gastric cancer, particularly through boundary recognition in NBI and NF-NBI endoscopic images. His broader research also explores multi-task learning, semantic segmentation, and clinical integration of AI tools for real-time diagnostic support in endoscopy suites.

Author Metrics

Although early in his academic career, Dr. Lei has co-authored multiple peer-reviewed articles in reputable international journals. His publications in Annals of Medicine, Scandinavian Journal of Gastroenterology, and Expert Systems with Applications demonstrate a growing influence in both clinical and AI research communities. His ORCID ID is 0000-0001-7908-7011, and his citation metrics are expected to rise with his growing publication footprint in multidisciplinary fields.

Awards and Honors

While formal awards are not explicitly listed, Dr. Lei’s contributions to high-impact publications and participation in cutting-edge research—such as the application of task-specific prompting in AI models for endoscopy—indicate peer recognition and significant academic promise. His collaborative work with senior scientists like Prof. Rui Li and publication in top-tier journals positions him as a rising expert in the medical AI and gastroenterology research community.

Publication Top Notes

1. Artificial Intelligence-Assisted Diagnosis of Early Gastric Cancer: Present Practice and Future Prospects

  • Authors: Changda Lei, Wenqiang Sun, Kun Wang, Ruirong Weng, Xiuji Kan, Rui Li

  • Journal: Annals of Medicine

  • Volume/Issue: Volume 57, Issue 1

  • Article ID: 2461679

  • Publication Date: 2025

  • DOI: 10.1080/07853890.2025.2461679

  • Summary:
    This article reviews current applications and future directions for artificial intelligence (AI) in the diagnosis of early gastric cancer (EGC). It highlights advances in endoscopic imaging, especially NBI (Narrow Band Imaging) and AI-based pattern recognition, and discusses clinical integration, challenges, and prospects for real-time implementation.

2. Neonatal Lupus Erythematosus: An Acquired Autoimmune Disease to Be Taken Seriously

  • Authors: Wenqiang Sun, Changchang Fu, Xinyun Jin, Changda Lei, Xueping Zhu

  • Journal: Annals of Medicine

  • Publication Date: December 31, 2025

  • DOI: 10.1080/07853890.2025.2476049

  • Summary:
    This clinical review focuses on neonatal lupus erythematosus (NLE), a rare but significant autoimmune condition affecting newborns. The article emphasizes early diagnosis, maternal screening, and therapeutic strategies, highlighting the need for interdisciplinary vigilance and patient-specific care.

Conclusion

Dr. Changda Lei is an exceptionally promising early-career academic who has already made meaningful contributions to the convergence of AI and gastrointestinal oncology. His research is not only innovative and clinically relevant but also indicative of leadership in next-generation diagnostic solutions.

Pooja Saini | Psychology | Best Researcher Award

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Prof. Dr. Pooja Saini | Psychology | Best Researcher Award

Professor at Liverpool John Moores University, United Kingdom

Professional Profile

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Summary

Dr. Pooja Saini is a Reader in Suicide and Self-Harm Prevention at Liverpool John Moores University (LJMU), UK. A leading academic in public health psychology, she has dedicated over two decades to advancing suicide prevention research across primary care, community, and school-based settings. As Co-Chair of the Women’s Academic Network, Co-Lead of the Research Centre for Brain and Behaviour, and Founder of the Suicide and Self-Harm Research Network North West, she is deeply committed to impactful research, institutional leadership, and capacity building in mental health and wellbeing.

Educational Details

Dr. Saini holds a Ph.D. from the University of Manchester (2015), where her work focused on suicide prevention and primary care engagement. She earned her M.Sc. in Psychology from the University of Liverpool in 2003 and B.Sc. from the University of Leicester in 2001. She is a Fellow (FHEA) and Associate Fellow (AFHEA) of the Higher Education Academy and a Chartered Psychologist with the British Psychological Society. Her multidisciplinary education spans psychological science, public health, and healthcare implementation.

Professional Experience

Dr. Saini has held academic and research appointments at LJMU, University of Liverpool, and the University of Manchester. She currently leads multiple externally funded projects as a Reader at LJMU and previously served as Knowledge Exchange and Implementation Research Manager for the CLAHRC NWC. Her past roles include Postdoctoral Research Associate positions in clinical and methodological research. She has led large transformation projects with NHS Trusts and is an advisor, mentor, and Director of Studies to numerous PhD students and PDRAs. She also serves as Co-Chair of the International Suicide Prevention in Primary Care Special Interest Group.

Research Interests

Dr. Saini's research spans suicide prevention, self-harm intervention, postvention services, and health inequalities across various populations, with a strong emphasis on primary care, schools, emergency services, and minority communities. Her work includes co-produced mental health interventions, pathways to crisis care, and decision-making in psychiatric admissions. She also leads pioneering research into suicide prevention during menopause, adolescent mental health, and public involvement in health research.

Author Metrics

Dr. Saini has published 75 peer-reviewed journal articles, 47 conference papers, 1 book chapter, and over 30 other outputs. Her work is cited in 11 global policy documents, reflecting international influence. She has secured £1.97 million in external research funding as Principal Investigator, with additional in-kind funding of over £220,000. Her h-index is 13 with 825 citations, evidencing a robust and growing research impact.

Awards and Honors

Dr. Saini’s excellence has been recognized through multiple accolades, including the International Cochrane Bill Silverman Award (2015), the National Asian Women of Achievement Award (2018), and the Cogent Psychology International Spotlight Research Award (2022). She has received Faculty of Health Excellence Awards for research, knowledge exchange, and impact at LJMU. Her work has directly influenced national services, including the establishment of James’ Place suicide crisis centres, and contributed to policy documents from the UK government, WHO, and leading health organizations.

Publication Top Notes

1. Rates of Suicide Ideation and Associated Risk Factors Among Female Secondary School Students in Iraq

  • Authors: Saad Sabet Alatrany, Molly McCarthy, Ashraf Muwafaq Flaiyah, Emma Ashworth, Hasan Ali Sayyid Aldrraji, Abbas Saad Alatrany, Dhiya Al-Jumeily, Sarmad Nadeem, Jo Robinson, Pooja Saini

  • Journal: Healthcare

  • Publication Date: May 27, 2025

  • DOI: 10.3390/healthcare13111260

  • Publisher: MDPI

  • Summary: This study investigates the prevalence and correlates of suicide ideation among female secondary school students in Iraq. Findings highlight urgent needs for culturally appropriate suicide prevention strategies in educational settings.

2. Systems Thinking in Mental Health Patient Safety: A Narrative Review of Complex Adaptive Systems

  • Authors: Alexander Challinor, Oladayo Bifarin, Esmaeil Khedmati Morasae, Professor Pooja Saini, Kathryn Berzins, Rajan Nathan

  • Journal: Journal of Evaluation in Clinical Practice

  • Publication Date: May 19, 2025

  • DOI: 10.1111/jep.70080

  • ISSN: 1356-1294

  • Summary: This review explores how systems thinking and complex adaptive systems theory can improve safety in mental health services, offering a novel lens on patient risk management and clinician decision-making.

3. A Mixed Methods Longitudinal Case Study Exploring the Impact of a Community-Based, Brief Psychological Intervention for Men Experiencing Suicidal Crisis

  • Authors: Claire Anne Hanlon, Karli Montague-Cardoso, Jennifer Chopra, Jane Boland, David McIlroy, Helen Poole, Pooja Saini

  • Journal: PLOS Mental Health

  • Publication Date: April 8, 2025

  • DOI: 10.1371/journal.pmen.0000024

  • Summary: This study evaluates the effectiveness and sustainability of a novel brief psychological intervention for men in suicidal crisis. The mixed-methods approach captures both individual and systemic outcomes over time.

4. Risks to the Clinician of Risk Management: Recalled and Anticipated Consequences of Decision-Making

  • Authors: Alexander Challinor, Shivani Bhandari, Stephen Boyle, Mark Gabbay, Penny Wilson, Professor Pooja Saini, Rajan Nathan

  • Journal: Frontiers in Psychiatry

  • Publication Date: February 27, 2025

  • DOI: 10.3389/fpsyt.2025.1484372

  • PMID: 40084049 | PMC: PMC11904246

  • Summary: This article examines the emotional and professional toll on clinicians who make high-stakes mental health decisions. It underscores the need for organizational support structures in mental health services.

5. Rates of Suicide Ideation and Associated Risk Factors Among Female Secondary School Students in Iraq (Preprint)

  • Same authors as Article 1

  • Platform: Authorea (Preprint Server)

  • Publication Date: February 6, 2025

  • DOI: 10.22541/au.173883605.54614990/v1

  • Summary: Preprint version of the article later published in Healthcare. Useful for early dissemination and citation prior to peer-reviewed journal release.

Conclusion

Prof. Dr. Pooja Saini exemplifies the ideal candidate for the Best Researcher Award. Her portfolio combines academic excellence, public health impact, and global influence. She is a thought leader whose research has changed clinical pathways, improved health services, and saved lives, particularly in marginalized and high-risk populations.

Her dedication to equity, innovation, and mentorship, coupled with her consistently excellent output, aligns seamlessly with the core values such an award seeks to honor.

Mohamed Elhag | Remote Sensing | Best Researcher Award

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Prof. Dr. Mohamed Elhag | Remote Sensing | Best Researcher Award

Professor of Remote Sensing at Aerospace Information Research Institute, China

Professional Profile

Scopus
Orcid
Google Scholar

Summary

Professor Mohamed Elhag is an esteemed academic and environmental researcher specializing in remote sensing, geospatial technologies, and natural resources management. He currently serves as a Tenure Track Professor in the Department of Water Resources at King Abdulaziz University, Saudi Arabia. Additionally, he holds research fellow and visiting professor positions in Greece, China, and Oman, demonstrating a strong international academic footprint. His multi-decade career reflects extensive contributions to the fields of environmental science, water management, and geoinformation technologies.

Educational Details

Professor Elhag earned his Ph.D. in Water Resource Management from the University of Thessaly, Greece (2012), focusing on GIS, remote sensing, and spatial decision support systems. He holds an M.Sc. in Environmental Management (2008) and a Postgraduate Diploma in Environmental Management (2007) from the Mediterranean Agronomic Institute of Chania (MAICh), Greece. Earlier, he completed an M.Sc. in Plant Ecology (2008) and a B.Sc. in Special Botany (1999) from Cairo University, Egypt, in addition to postgraduate training in environmental studies and economics from the Faculty of Economics and Political Science, Cairo University.

Professional Experience

With over two decades of professional experience, Professor Elhag has served in leading academic and research roles across Europe, the Middle East, and Asia. At King Abdulaziz University, he has progressed from Assistant Professor to Full Professor since 2013. He also serves as a Research Fellow at the Chinese Academy of Sciences and CIHEAM/MAICh, and as Visiting Professor at the German University of Technology in Oman. Earlier roles include appointments at the University of Thessaly and the Mediterranean Agronomic Institute of Chania. His work encompasses teaching, research leadership, and project coordination in ecological mapping, climate impact assessment, and sustainable land use.

Research Interests

Professor Elhag’s research is centered on geo-information technologies, remote sensing, and environmental management, particularly in arid and semi-arid ecosystems. His interests span a broad spectrum including water resource modeling, land use dynamics, soil erosion, vegetation mapping, habitat conservation, hyperspectral and microwave remote sensing, and spatial statistical modeling for decision support in natural resource governance.

Author Metrics

According to Google Scholar, Professor Elhag has amassed 1,785 citations, with an h-index of 21 and i10-index of 53 (as of 2024). His research output includes over 100 peer-reviewed journal articles, book chapters, and international conference presentations. His work is widely published in high-impact journals such as Earth Systems and Environment, Sustainability, Arabian Journal of Geosciences, and Desalination and Water Treatment, reflecting significant academic influence across environmental science disciplines.

Awards and Honors

Throughout his career, Professor Elhag has been actively engaged in national and international research initiatives. He has been the principal investigator or co-PI on several funded projects by King Abdulaziz University and the King Abdulaziz City for Science and Technology. His commitment to academic excellence and cross-border scientific collaboration has earned him recognition within professional societies such as the Arab Water Council, Saudi Biological Society, and Water Sciences and Technology Association, as well as affiliations with numerous international environmental research programs.

Publicaiton Top Notes

1. Assessment of Surface Deformation Patterns Using InSAR Data: Implications for Human Impacts in Makkah City, Saudi Arabia
2. Understanding Drought: Agricultural and Socioeconomic Effects in Tekeze Watershed, Northern Ethiopia
3. Assessment of Machine Learning Techniques in Mapping Land Use/Land Cover Changes in a Semi-Arid Environment

  • Authors: Noamen Baccari, Mohamed Hafedh Hamza, Tarek Slama, Anis Sebei, Sarra Ouerghi, Rania Elsheikh, Naoufel Rebai, Mohamed Elhag

  • Journal: Earth Systems and Environment

  • Publication Date: January 2025

  • DOI: 10.1007/s41748-025-00620-3

  • Access: ResearchGateresearchgate.net

4. Assessment of Coastal Zone Vulnerability in Context of Sea-Level Rise and Inundation Risk in Qatar
5. Comparative Assessment of Process-Based Models for Simulating the Hydrological Response of the Himalayan River Basin

Conclusion

Professor Mohamed Elhag exemplifies what the Best Researcher Award aims to recognize: outstanding scholarly excellence, global academic leadership, innovation in high-impact research, and contributions to solving real-world environmental challenges. His output, citation record, interdisciplinary focus, and international presence make him a deserving candidate. With minor expansion into science communication and strategic collaborations, his profile could be even more impactful.

 

Aneerban Roy | Management | Best Researcher Award

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Mr. Aneerban Roy | Management | Best Researcher Award

Doctoral Scholar at Indian Institute of Technology Kharagpur, India

Professional Profile

Scopus
Orcid
Google Scholar

Summary

Mr. Aneerban Roy is a dynamic academician and doctoral researcher in Strategic Human Resource Management (SHRM) at the Indian Institute of Technology Kharagpur. With an interdisciplinary background in HR, marketing, and electrical engineering, his work focuses on E-HRM, leadership, emotional intelligence, and organizational sustainability. Known for his academic rigor, publication record, and conference presence, Mr. Roy brings a blend of research, teaching, and industry exposure that positions him as a rising contributor to the HRM and OB landscape.

Educational Details

Mr. Roy is currently pursuing his PhD in Strategic Human Resource Management at IIT Kharagpur (2020–2025), with a dissertation focusing on the dynamics of E-HRM and contextual variables. He completed his MBA in HR and Marketing from IIT (ISM) Dhanbad in 2019 with an impressive OGPA of 8.39. His technical foundation was laid with a B.Tech in Electrical Engineering from West Bengal University of Technology in 2016. He has a strong academic track record, having consistently performed well in his CBSE schooling and earned certifications in programming, automation, and emotional intelligence.

Professional Experience

Mr. Roy has gathered multi-faceted professional experience that bridges academics and industry. He served as a Teaching Assistant for the NPTEL course on Emotional Intelligence in both 2022 and 2024. His HR-focused internships at Tata Steel and Bharat Coking Coal Limited provided him early exposure to practical organizational dynamics. Additionally, he has worked on academic projects related to employee engagement, customer satisfaction, and health insurance awareness. His role as a reviewer for the Journal of Entrepreneurship Planning, Development and Management reflects his involvement in academic peer review and research evaluation.

Research Interest

His research interests span Strategic Human Resource Management, Organizational Behavior, International HRM, Emotional Intelligence, Leadership, and Sustainability. His PhD focuses on the evolving dynamics of E-HRM, with a particular interest in how contextual and psychological factors influence technology integration in HR practices. He is deeply interested in how emotional intelligence and self-leadership impact employee innovation, well-being, and sustainable organizational performance.

Author Metric

Mr. Roy’s scholarly contributions include journal articles and several book chapters published with reputable publishers such as Apple Academic Press, IGI Global, and Springer Nature. His work is indexed in Scopus, with his latest article in Cogent Business & Management (Q2) receiving attention for its bibliometric analysis of E-HRM research globally. He has presented at leading conferences like ISDSI Global Conference (IIM Nagpur) and Pan IIM World Management Conference (IIM Sambalpur), where he also served as a session chair. His growing portfolio of accepted and published research highlights a strong upward trajectory in academic impact.

Awards and Honors

Mr. Roy was honored with the Best Scientific Poster Presentation Award at the International Conference on Emerging Issues and Challenges in Global Mental Health and Public Health (2022). He is a qualified UGC-NET Assistant Professor (December 2020), further validating his academic credentials. He has also received distinction in the field of visual arts through the Bangiya Sangeet Parishad and holds an A+ grade in Diploma in Computer Application. These diverse accomplishments underline his holistic development as a scholar and educator.

Publication Top Notes

1. Evidence-Based Bibliometric Analysis of the Journey of E-HRM Research Across Nations

Summary: This study conducts a comprehensive bibliometric analysis of Electronic Human Resource Management (E-HRM) research across various nations. It identifies key trends, influential publications, and collaborative networks, providing insights into the global evolution of E-HRM scholarship.openaccessojs.com

2. Sustainability Through E-HRM: A Psychological Perspective

Summary: This chapter explores the intersection of E-HRM practices and sustainability from a psychological standpoint. It discusses how psychological theories and principles can enhance the effectiveness of E-HRM in promoting sustainable organizational practices.

3. Achieving Sustainable Performance by E-HRM Practices

Summary: This chapter presents a conceptual framework linking E-HRM practices to sustainable organizational performance. It employs social cognitive theory to discuss how E-HRM can be strategically utilized to achieve long-term sustainability goals.

Conclusion

Mr. Aneerban Roy is an exceptional early-career researcher with a clear research identity in E-HRM, emotional intelligence, and sustainable HRM. His active contributions through publications, conferences, and academic service, combined with his leadership in teaching and capacity-building initiatives, make him highly deserving of the Best Researcher Award in the Management domain.

Dr. Waleed Yousef | Branding | Business Impact Award

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Dr. Waleed Yousef | Branding | Business Impact Award

Dr. Waleed Yousef | Branding | Business Impact Award

Dr. Waleed Yahya Yousef is a distinguished academic and professional with extensive experience in branding, consumer behavior, and education. With a Ph.D. in branding and consumer behavior from Middlesex University, London, he currently serves as the Director of Quality and Planning at the Royal Commission for Jubail and Yanbu. Dr. Yousef is also an Assistant Professor at Jubail University College, specializing in marketing and business administration. With a passion for research and professional development, he has published multiple studies on brand love, Islamic branding, and consumer behavior, contributing significantly to academic and industry knowledge. 📚🎓💼

Professional Profile:

Scopus

Orcid

Education and Experience:

  • Ph.D. in Branding and Consumer Behavior – Middlesex University, London (2018) 🎓

  • Master’s in Marketing and Communications – Manchester Metropolitan University (2010) 📚

  • Bachelor’s in Administrative and Planning Science, Marketing – King Faisal University, Saudi Arabia (2007) 🎓

  • Director of Quality and Planning, Education Sector – Royal Commission for Jubail and Yanbu (2019-Present) 🏫

  • Chairman, Business Administration Department – Royal Commission for Jubail and Yanbu (2019-2020) 🏢

  • Assistant Professor – Jubail University College (2018-Present) 👨‍🏫

  • Lecturer – Jubail University College (2011-2018) 📖

  • Lecturer (Part-time) – Imam Abdulrahman Bin Faisal University (2011) 🏫

Professional Development:

Dr. Yousef is committed to both academic and professional development, having attended and led numerous workshops and conferences. His participation in global events like the Global Islamic Marketing Conference and workshops on research skills reflects his passion for continuous learning. As a trainer, he has conducted workshops on Customer Service, Effective Communication, Time Management, and Leadership, fostering skills development in various industries. His involvement in curriculum development, academic councils, and quality assurance initiatives further highlights his leadership and commitment to education. 💡🧑‍🏫📅

Research Focus:

Dr. Waleed Yousef’s research centers on branding and consumer behavior, particularly within Islamic markets. His studies explore the impact of religious beliefs on brand love, celebrity influence, and the effects of sustainable development on country image. Dr. Yousef has also contributed to research on consumer psychology and marketing strategies in Saudi Arabia and other global contexts. His work has been published in prestigious journals like Corporate Reputation Review and Sustainability, where he delves into the intersection of brand loyalty, consumer personality, and corporate reputation. 📑🧐🌍

Awards and Honors:

  • Best Paper Award – 6th Global Islamic Marketing Conference, 2015 🏆

  • Research Recognition – Multiple articles published in top-tier academic journals 📚

  • Academic Excellence Award – Middlesex University London 🏅

  • Outstanding Lecturer Award – Jubail University College (2017) 🏆

  • Conference Speaker – Various international conferences on marketing and branding 🌍

Publication Top Notes:

1. Do Social Pressure and Technological Development Influence Green Consumer Behavior? Evidence from Saudi Arabia

Author(s): Waleed Yahya Yousef (W.Y. Yousef)
Journal: International Journal of Advertising
Year of Publication: 2025
Citations: 0
DOI: Disabled (Link to the article is not provided)

Summary:
This study explores how social pressure and technological development impact green consumer behavior in Saudi Arabia. It examines how consumers’ environmental attitudes are influenced by both societal expectations and the technological advancements surrounding green products. The research suggests that social pressure, in particular, has a significant role in shaping consumer decisions to adopt environmentally friendly products, especially in a fast-developing society like Saudi Arabia. Technological innovation, such as eco-friendly product offerings and digital tools for environmental education, also plays a pivotal role in encouraging green purchasing decisions. The findings underline the importance of understanding local socio-cultural contexts in fostering sustainable consumption behaviors.

2. An Examination of the Influence of Attitude, Perceived Quality, and Social Pressure on Place Likeability, Revisit Intention, and Intention to Recommend; A Study of Consumers’ Perceptions Towards Shopping Malls in Saudi Arabia

Author(s): Waleed Yahya Yousef
Journal: Corporate Reputation Review
Date of Publication: June 30, 2022
DOI: 10.1057/s41299-022-00146-8
Citations: 3

Summary:
This study investigates how attitudes, perceived quality, and social pressure affect consumers’ perceptions of shopping malls in Saudi Arabia, specifically in terms of place likeability, revisit intention, and intention to recommend. The research finds that consumers’ overall perception of shopping malls is highly influenced by their attitudes towards the mall’s quality and the social environment in which they operate. Additionally, social pressure plays a significant role in consumers’ intention to revisit and recommend the mall. The paper suggests that mall managers and marketers in Saudi Arabia should consider the cultural and social factors when developing strategies to enhance customer satisfaction and loyalty. This study is particularly relevant for businesses looking to improve their brand reputation and customer base in the region.

Conclusion:

Dr. Waleed Yahya Yousef is an ideal candidate for the Business Impact Award due to his multifaceted contributions across education, research, industry development, and leadership. His scholarly achievements, coupled with his professional engagement in improving quality and planning within the educational and business sectors, position him as a transformative figure. Dr. Yousef’s work in branding and consumer behavior, particularly in Islamic markets, offers a valuable framework for contemporary business practices and contributes to the development of strategic marketing initiatives both regionally and globally. His continuous focus on professional development, research, and education makes him a significant force for positive change, deserving of the Business Impact Award.