Vanessa Silva Moraes | Immunology | Young Scientist Award

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Ms. Vanessa Silva Moraes | Immunology | Young Scientist Award

Research Associate at Florida Research & Innovation, United States

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Summary

Dr. Vanessa Silva-Moraes is an accomplished immunologist and interdisciplinary biomedical researcher with over a decade of experience in infectious diseases, vaccine development, and immune response analysis. Currently a Research Associate at Cleveland Clinic Florida, she has previously held prestigious postdoctoral roles at the University of Georgia. Her research bridges immunology, parasitology, and vaccinology, with a focus on human and animal model studies in schistosomiasis, malaria, influenza, and SARS-CoV-2. Passionate about public health impact and mentoring future scientists, Dr. Silva-Moraes is a recognized emerging leader in translational immunology.

Educational Details

Dr. Silva-Moraes earned her Ph.D. in Health Sciences (Infectious Diseases) from Instituto René Rachou, Fundação Oswaldo Cruz, Brazil, in 2018, focusing on the development of recombinant antigens for schistosomiasis diagnosis. She completed a Master of Science in Medical Biotechnology from Universidade Federal de São João Del Rei, Brazil (2013), and holds a Bachelor of Science in Pharmacy from Universidade de Itauna (2009). Her academic work has laid a strong foundation for her translational research in immunodiagnostics and vaccine efficacy.

Professional Experience

Dr. Silva-Moraes is currently a Research Associate at Cleveland Clinic Florida, where she leads research on T and B cell responses to COVID-19 and influenza vaccination. Previously, she was a Postdoctoral Fellow at the University of Georgia, specializing in malaria and influenza vaccine development. She began her career as a Research Technician at the Brazilian National Center of Schistosomiasis, focusing on monoclonal antibody production and diagnostic innovation. Her hands-on research spans molecular biology, immunoassays, spectral flow cytometry, vaccine adjuvants, and field-based diagnostics, with leadership in grant writing, lab management, and cross-disciplinary mentoring.

Research Interests

Her research interests lie at the intersection of immunology, infectious diseases, parasitology, virology, molecular biology, and vaccine development. She has a deep commitment to investigating T and B cell immune profiling, protein and antibody engineering, and host-pathogen interactions. Her recent focus has been on adaptive immune responses to COVID-19 and influenza, including vaccine-induced memory, T-cell functionality, and breakthrough infection immunity. Vanessa's long-term goal is to leverage immunological insights to improve diagnostic and therapeutic strategies for global public health.

Author Metrics

Dr. Silva-Moraes has authored or co-authored over 25 peer-reviewed publications, including articles in Frontiers in Immunology, Cell Reports Medicine, Vaccines (Basel), and PLOS Neglected Tropical Diseases. She is frequently cited for her work in immune diagnostics, vaccine immunogenicity, and antibody engineering, and her profiles are accessible on ORCID, Google Scholar, and MyNCBI.

Awards and Honors

Dr. Silva-Moraes has received numerous national and international awards, including the 2023 ESWI Early Career Award, 2022 AAI and ASV Postdoc Travel Awards, and the 2020 Keystone Symposia Global Health Travel Award. She has also been recognized with the Outstanding Mentor Award (University of Georgia, 2022) and the Zigman Brener Women in Science Medal (Fiocruz, 2021). Her Ph.D. and Master's theses were both awarded as best dissertations in their respective fields. In addition, she has secured competitive research grants focused on SARS-CoV-2 immunity and novel immunodiagnostics.

Publication Top Notes

1. Ethnic Comparisons of Spike-Specific CD4+ T Cells, Serological Responses, and Neutralizing Antibody Titers Against SARS-CoV-2 Variants

  • Authors: F. Pantouli, V. Silva-Moraes, T. M. Ross

  • Journal: Vaccines, Vol. 13(6), Article 607, 2025

  • Summary: This study evaluates ethnic differences in CD4+ T cell immunity, serological responses, and neutralizing antibody titers following SARS-CoV-2 exposure or vaccination. Dr. Silva-Moraes contributed to immune profiling and data interpretation, highlighting how ethnicity may impact immunological outcomes against viral variants.

2. B-cell Dynamics Underlying Poor Response Upon Split-Inactivated Influenza Virus Vaccination

  • Authors: L. R. Reis, V. Silva-Moraes, A. Teixeira-Carvalho, T. M. Ross

  • Journal: Frontiers in Immunology, Vol. 15, Article 1481910, 2024

  • Summary: This paper explores B-cell activation and differentiation patterns that explain suboptimal antibody responses to traditional inactivated influenza vaccines. Dr. Silva-Moraes helped characterize B-cell subsets and their memory development post-vaccination.

3. SARS-CoV-2 Breakthrough Infections Enhance T Cell Response Magnitude, Breadth, and Epitope Repertoire

  • Authors: A. Tarke, P. Ramezani-Rad, T. A. P. Neto, Y. Lee, V. Silva-Moraes, B. Goodwin, et al.

  • Journal: Cell Reports Medicine, Vol. 5(6), 2024

  • Citations: 8

  • Summary: This high-impact study demonstrates that breakthrough infections post-COVID-19 vaccination significantly expand T cell functionality and epitope diversity. Dr. Silva-Moraes played a role in T-cell immunophenotyping and data validation.

4. Prior SARS-CoV-2 Infection Enhances Initial mRNA Vaccine Response With a Lower Impact on Long-Term Immunity

  • Authors: V. Silva-Moraes, A. Souquette, G. A. Sautto, I. Paciello, G. Antonelli, et al.

  • Journal: ImmunoHorizons, Vol. 7(10), pp. 635–651, 2023

  • Citations: 5

  • Summary: As first author, Dr. Silva-Moraes led this study that analyzed differences in immune memory between previously infected and naïve individuals following mRNA COVID-19 vaccination. The findings suggest faster short-term response in convalescents but comparable long-term immunity.

5. The Effect of Waning on Antibody Levels and Memory B Cell Recall Following SARS-CoV-2 Infection or Vaccination

  • Authors: D. Forgacs, V. Silva-Moraes, G. A. Sautto, H. B. Hanley, J. L. Gattiker, et al.

  • Journal: Vaccines, Vol. 10(5), Article 696, 2022

  • Citations: 23

  • Summary: This widely cited study analyzes antibody decay and B-cell recall function over time in vaccinated and infected individuals. Dr. Silva-Moraes contributed to immunoassays and B-cell memory characterization, aiding in understanding vaccine durability.

Conclusion

Dr. Vanessa Silva-Moraes is exceptionally well-qualified for the Young Scientist Award in Immunology. Her record of research excellence, innovation in vaccine and diagnostic science, and demonstrated impact on global infectious disease understanding sets her apart as a rising leader. With continued expansion of first-author publications and grant leadership, she is poised to become a globally influential figure in immunological science.

Mahesh Prasad Awasthi | Environmental Science | Young Researcher Award

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Mr. Mahesh Prasad Awasthi | Environmental Science | Young Researcher Award

Teaching Assistant at Far Western University, Nepal

Professional Profile

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Summary

Mahesh Prasad Awasthi, is an emerging environmental scientist and geospatial researcher. Currently serving as a Teaching Assistant at the Central Department of General Science, Far Western University, Nepal, he also contributes as a GIS specialist and researcher for the Api Saipal Development Forum. Mahesh has demonstrated a strong commitment to integrating geospatial technologies and environmental science to address critical societal and ecological challenges in the Himalayan region.

Educational Details

Mahesh holds a Master of Science (M.Sc.) degree in Environmental Science from the Central Department of Environmental Science, Tribhuvan University, where his thesis focused on flood susceptibility modeling and water quality assessment. He completed his Bachelor of Science (B.Sc.) in Environmental Science at Far Western University, with a thesis on landslide susceptibility modeling. His academic journey began with +2 Science from Kanchan Vidya Mandir Samudayik College and School Leaving Certificate (S.L.C.) from Galeshwor Secondary School, Baitadi.

Professional Experience

Mahesh has over five years of multidisciplinary experience in environmental science, disaster risk reduction, and geoinformatics. He currently teaches at Far Western University and previously worked as a Field Enumerator for Nepal’s National Climate Change Survey. Additionally, he serves as a part-time Program Coordinator and GIS Specialist at the Api Saipal Development Forum and held the role of Program Officer for Environment and DRR at Lakshya Training and Research Center. He has also interned with ENPHO and NEEDS Nepal on urban resilience and waste management projects.

Research Interest

His research interests include Environmental Geoinformatics (GIS/RS/Modeling), Hydrogeochemistry, Aquatic Ecology, Wetland Conservation, Disaster Risk Management, and Climate Change. He emphasizes the application of multivariate statistical tools, digital elevation models, and hydrological modeling techniques to support data-driven environmental planning and conservation in Nepal’s fragile ecosystems. Mahesh is passionate about empowering communities and young researchers through the intersection of science, technology, and policy.

Author Metrics

Mahesh has co-authored and authored over 16 peer-reviewed publications in reputed journals such as Environmental Earth Science, Water Practice and Technology, Water, Scientific World, and Sustainable Water Resources Management. His work has been cited across multiple domains involving geospatial modeling, climate change vulnerability, hydrochemical assessment, and bioindicators. His profiles are accessible on Google Scholar, ResearchGate, and ORCID.

Awards and Honors

Mahesh has received several competitive research grants and awards for his pioneering work in environmental assessment and community-based climate adaptation. In 2022, he was awarded a thesis grant by the Ministry of Industry, Tourism, Forest and Environment, followed by principal investigator-led projects in 2023, 2024, and 2025 funded by institutions like the Nepal National Social Welfare Association and Ministry of Social Development. These grants supported impactful research on climate resilience, water vulnerability, and local adaptation strategies in Western Nepal.

Publication Top Notes

1. An Assessment of Seasonal Water Quality in Phewa Lake, Nepal, by Integrating Geochemical Indices and Statistical Techniques: A Sustainable Approach

  • Authors: R. Timalsina, S. Acharya, B. Đurin, M. P. Awasthi, R. R. Pant, G. R. Joshi, et al.

  • Journal: Water, Vol. 17(2), Article 238, 2025

  • Citations: 9

  • Summary: This study evaluates the seasonal variation in water quality of Phewa Lake using a blend of geochemical indices and statistical tools. It provides actionable insights into the lake’s ecological status, highlighting potential pollution sources and proposing sustainable water management strategies.

2. Hydro-chemical Characteristics of Biring and Tangting Rivers (Nepal) and Evaluation of Water Quality for Drinking and Irrigation Purposes

  • Authors: N. Basnet, S. Sitaula, R. Bohara, S. Bhattarai, S. Rawal, M. P. Uprety, M. P. Awasthi, et al.

  • Journal: Environmental Research, Vol. 261, Article 119697, 2024

  • Citations: 8

  • Summary: This research analyzes hydro-chemical properties of the Biring and Tangting Rivers, assessing their suitability for drinking and irrigation. It identifies key contaminants, highlights seasonal influences, and recommends interventions to ensure safe water use.

3. Evaluating the Major Sources of Surface Water Quality in Pokhara Metropolitan City, Gandaki Province, Nepal

  • Authors: S. Tiwari, B. Timalsina, S. Sitaula, M. P. Awasthi, A. Mahat, R. R. Pant

  • Journal: Himalayan Biodiversity, pp. 29–38, 2023

  • Citations: 8

  • Summary: This paper identifies and analyzes the primary anthropogenic and natural contributors to surface water pollution in Pokhara. The findings serve as a policy guide for improving urban water resource management and safeguarding biodiversity.

4. Mapping and Analyzing Temporal Variability of Spectral Indices in the Lowland Region of Far Western Nepal

  • Author: M. P. Awasthi

  • Journal: Water Practice and Technology, Vol. 18(11), pp. 2971–2988, 2023

  • Citations: 7

  • Summary: This study leverages satellite-derived spectral indices to monitor environmental variability and land cover change in Far Western Nepal. The findings emphasize the role of remote sensing in early warning systems and environmental planning.

5. Water Balance Estimation and Runoff Simulation of Chameliya Watershed, Nepal

  • Authors: J. Nepal, R. R. Pant, S. Shrestha, S. Paudel, K. Bishwakarma, M. P. Awasthi, et al.

  • Journal: Environmental Earth Sciences, Vol. 83(3), Article 117, 2024

  • Citations: 6

  • Summary: Focusing on the Chameliya Watershed, this research employs hydrological modeling to estimate water balance and simulate runoff. The outcomes aid in flood risk management, irrigation planning, and climate resilience in the Himalayan foothills.

Conclusion

Mr. Mahesh Prasad Awasthi exemplifies the ideal recipient of the Young Researcher Award in Environmental Science. His track record reflects a rare combination of academic excellence, community-oriented practice, and innovation in geospatial methods. He is already influencing environmental monitoring and climate resilience planning in Nepal, and with continued support, he is poised to make even broader regional and international contributions.

Zhibin Liu | Biomedical Science | Young Researcher Award

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Mr. Zhibin Liu | Biomedical Science | Young Researcher Award

Zhibin Liu at Kyungpook National University, South Korea

Professional Profile

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Summary

Dr. Zhibin Liu is an emerging biomedical researcher affiliated with Kyungpook National University, South Korea. With a strong background in dental hygiene and biomedical sciences, his interdisciplinary work focuses on cancer biology, antibacterial therapies, and molecular toxicology. His collaborative research efforts have led to several impactful publications in peer-reviewed journals, where he explores cellular mechanisms, therapeutic compounds, and environmental health risks, contributing to both academic and translational science.

Educational Details

Dr. Liu began his academic journey at Kyungpook National University, where he completed his undergraduate studies in Dental Hygiene from 2017 to 2021. He continued with a master's program in the same field, graduating in 2023. He is currently pursuing advanced research (since September 2023) at the university in the domain of development and differentiation regulation, positioning himself at the intersection of dental science and molecular biology.

Professional Experience

Dr. Liu’s professional and academic training is rooted in laboratory-based research, where he has contributed to multiple interdisciplinary projects under renowned mentors. He has collaborated across departments and institutions on experimental studies related to oncology, microbiology, and pharmacology. His hands-on involvement in animal studies, in vitro analysis, and data interpretation reflects a strong experimental and collaborative orientation.

Research Interests

Dr. Liu’s research interests span cancer therapeutics, oral microbiology, wound healing, and environmental toxicology. He investigates the molecular pathways involved in esophageal and oral squamous cell carcinomas, including the AKT/mTOR and PI3K signaling axes. He is also deeply engaged in evaluating natural compounds, hydrogen-rich water, and nanoparticles for their antibacterial and anticancer properties. His work integrates biochemical analysis with clinical relevance, aiming to bridge lab findings with practical healthcare applications.

Author Metrics

Dr. Liu has co-authored several high-impact publications across journals such as Antioxidants, Scientific Reports, Pharmaceuticals, Journal of Cancer, and In Vivo. His work is frequently cited in the domains of molecular oncology, oral science, and immunology, and he maintains a growing academic presence on platforms like ResearchGate, Google Scholar, and PubMed. These publications showcase his proficiency in experimental design and scientific communication.

Awards and Honors

Dr. Liu has been recognized for his academic and research excellence by Kyungpook National University. He received the Fusion Research Group Award in 2022, acknowledging his multidisciplinary contributions. In 2021, he was honored as an Honorary International Ambassador, reflecting his role in promoting the university’s global academic engagement. These accolades highlight his dedication to collaborative science and leadership potential in research communities.

Publicaiton Top Notes

1. Raepenol™ Cream, a Complex of Natural Compounds, Promotes Wound Healing and Relieves Pruritus In Vivo

Authors: Kim E, Cho NE, Park S, Kim HG, Yi J, Kim H, Ma L, Huang KE, Liu Z, Kim CY, Park K, Sung Y, Jang S, Jang S, Choi SK, Ryoo ZY, Lim SG, Kim MO
Journal: In Vivo, 2024 Sep–Oct; 38(5):2318–2327
Summary:
This study investigates Raepenol™ Cream, a proprietary formulation made from natural compounds, and its therapeutic effects on wound healing and itch relief (pruritus). Conducted using in vivo models, the research demonstrates that the cream accelerates epidermal regeneration and reduces inflammatory cytokine expression. Dr. Liu contributed to evaluating histopathological changes and analyzing inflammation markers in treated tissues.

2. Gossypetin Alleviates DSS-Induced Colitis by Regulating COX2 and ROS-JNK Signaling

Authors: Kim H, Kim E, Ma L, Kim C, Park K, Liu Z, Huang K, Kim DJ, Ryoo ZY, Yi JK, Sung Y, Jang S, Kim MO
Journal: Current Pharmaceutical Biotechnology, 2024 Nov 26
Summary:
This study explores the anti-inflammatory properties of gossypetin, a flavonoid derived from Hibiscus sabdariffa, in dextran sulfate sodium (DSS)-induced colitis mouse models. It was found that gossypetin reduced colonic damage, COX2 expression, and ROS-JNK pathway activity, suggesting potential therapeutic utility in inflammatory bowel disease (IBD). Dr. Liu contributed to the experimental design and molecular assays related to oxidative stress and inflammation.

3. Effects of PM2.5 Metal Components Derived From Porcine Farm Exposure on Sperm Function in Mice

Authors: Kim C. Y., Kim C. R., Kim E., Park K., Kim H., Ma L., Huang K., Liu Z., Park J., Jung M., Li S., Wen W., Kim S., Park S., Ryoo Z. Y., Yi J., Kim M. O
Journal: Journal of Biochemical and Molecular Toxicology, 2025; 39(5):e70279
Summary:
This paper assesses the impact of PM2.5 metal pollutants from porcine farm environments on male reproductive health. The findings revealed disruption in sperm motility and function, likely due to heavy metal-induced oxidative stress. Dr. Liu’s role involved data collection on sperm morphology and analysis of oxidative damage biomarkers, contributing to understanding environmental toxicity and reproductive risks.

4. Effects of the Major Metal Components in Urban Asian PM2.5 on Lung Inflammation and Abnormal Electrolyte Levels: An In Vivo Study Based on Review Data

Authors: Kim E, Huang K, Yi J, Ma L, Kim C. Y., Park K, Liu Z., et al.
Journal: Environmental Pollutants and Bioavailability, 2024; 36(1):2396464
Summary:
This study examines how urban PM2.5 metal constituents contribute to pulmonary inflammation and electrolyte imbalance in animal models. Results highlight elevated pro-inflammatory cytokines and disrupted sodium/potassium regulation in the lungs following exposure. Dr. Liu supported the animal model analysis and electrolyte quantification, aiding in uncovering public health implications of air pollution.

5. Evaluation of Zinc Oxide and Copper Oxide Nanoparticles as Potential Alternatives to Antibiotics for Managing Fowl Typhoid in Broilers

Authors: Raza M.A., Kim E., Shakeel M., Fiaz M., Ma L., Kim H., Kim C. Y., Liu Z., Huang K., Park K., Javed M.T., Kim M.O
Journal: Journal of Animal Science and Technology, 2024; 66(5):962–980
Summary:
This publication presents an antimicrobial assessment of ZnO and CuO nanoparticles against Salmonella gallinarum in poultry. The study reports reduced bacterial load, mortality, and improved gut health with nanoparticle treatment, offering an alternative to conventional antibiotics. Dr. Liu contributed to microbial assays and tissue analysis, reinforcing his involvement in nanotechnology-based infection control.

Conclusion

Dr. Zhibin Liu is a promising young biomedical scientist who blends technical skill, interdisciplinary breadth, and scientific curiosity. His contributions to molecular cancer biology, toxicological research, and natural compound therapeutics reflect strong academic potential and research maturity. While there is room to grow in terms of scientific leadership and narrowed specialization, his trajectory is undoubtedly rising.

 

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

Professional Profile

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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

Professional Profile

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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

Professional Profile

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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.