PhongSon Dinh | Gene function analysis | Best Researcher Award

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Dr. PhongSon Dinh | Gene function analysis | Best Researcher Award

Dr. Dinh Phong Son is a prominent researcher at Duy Tan University, Vietnam, specializing in laboratory medicine and molecular medicine. With a PhD from Guangxi Medical University, China, he is dedicated to advancing the field of molecular biology and medical diagnostics. His work focuses on identifying biomarkers for early disease detection and investigating gene targets for targeted therapies. He actively contributes to scientific advancements in understanding complex diseases such as cancer, diabetes, and cardiovascular diseases. Through his expertise in molecular techniques like CRISPR/Cas9, PCR, and sequencing, Dr. Son plays a vital role in improving medical diagnostics and treatments. šŸ§¬šŸ”¬

Profile

Education šŸŽ“

Dr. Dinh Phong Son holds a Doctorate (Ph.D.) in Molecular Medicine from Guangxi Medical University, China, after earning his degree in Laboratory Medicine from Hue University of Medicine and Pharmacy, Vietnam. His educational background has equipped him with the expertise in molecular biology, enabling him to explore complex diseases at a molecular level and work on cutting-edge technologies in the field of gene editing and disease diagnosis. šŸŽ“šŸ“š

Experience šŸ‘Øā€šŸ«

Dr. Dinh Phong Son has significant experience in molecular medicine, focusing on the development of biomarkers for early disease diagnosis and treatment. With expertise in molecular biology techniques such as PCR, qPCR, CRISPR/Cas9, and sequencing, he has conducted extensive research on diseases like cancer, cardiovascular disorders, and diabetes. His work integrates bioinformatics and molecular assays to understand gene functions and identify potential drug targets. He is actively contributing to scientific publications and advancing the research communityā€™s knowledge in disease diagnostics and therapies. šŸ”¬šŸ’”

Research Interests šŸ”¬

Dr. Dinh Phong Sonā€™s research focuses on molecular techniques for disease detection and gene therapy. His current work includes exploring circRNA, miRNA, mRNA, and their role in diseases like coronary heart disease and cancer. Dr. Son is particularly interested in developing diagnostic biomarkers and therapeutic targets for systemic diseases using next-generation sequencing and CRISPR/Cas9. He also investigates the interaction networks between lncRNA, circRNA, miRNA, genes, and proteins, aiming to create molecular-based solutions for precision medicine. His research paves the way for future advancements in molecular diagnostics and personalized therapies. šŸ”¬šŸ§¬

Awards & Recognitions šŸ…

Dr. Dinh Phong Son’s contributions to molecular medicine have earned him recognition in the scientific community. His research publications, particularly on gene networks and biomarkers in cardiovascular and cancer research, have garnered widespread attention. He is currently a nominee for the Best Researcher Award, reflecting his ongoing commitment to advancing the fields of molecular biology, gene therapy, and disease diagnostics. His work is an important step toward improving public health outcomes through the application of molecular techniques. šŸ†šŸ…

Publications šŸ“š

  • Identification and assessment of hub genes and miRNAs coregulatory associated with immune infiltrations and drug interactions in latent tuberculosis based on MicroarrayData analysis, molecular docking, and dynamic simulation

    Biochemistry and Biophysics Reports
    2025-03 |Ā Journal article
    DOI:Ā 10.1016/j.bbrep.2025.101952
    CONTRIBUTORS:Ā PhongSon Dinh;Ā ChauMyThanh Tran;Ā ThiPhuongHoai Dinh;Ā Hai-Anh Ha;Ā Aigul Utegenova;Ā Awais Ali;Ā Abdulaziz Alamri

  • Hsa_circRNA_0000284 acts as a ceRNA to participate in coronary heart disease progression by sponging miRNA-338-3p via regulating the expression of ETS1

    Journal of Biomolecular Structure and Dynamics
    2024-07-02 |Ā Journal article
    DOI:Ā 10.1080/07391102.2023.2225109
    CONTRIBUTORS:Ā PhongSon Dinh;Ā ChauMyThanh Tran;Ā ThiPhuongHoai Dinh;Ā Awais Ali;Ā ShangLing Pan

  • Potential diagnostic value of serum microRNAs for 19 cancer types: a meta-analysis of bioinformatics data

    Journal of Biomolecular Structure and Dynamics
    2024-03-15 |Ā Journal article
    DOI:Ā 10.1080/07391102.2024.2328744
    CONTRIBUTORS:Ā ChauMyThanh Tran;Ā PhongSon Dinh

  • Identification of hsa_circ_0001445 of a novel circRNA-miRNA-mRNA regulatory network as potential biomarker for coronary heart disease

    Frontiers in Cardiovascular Medicine
    2023-03-14 |Ā Journal article
    DOI:Ā 10.3389/fcvm.2023.1104223
    Part ofĀ ISSN:Ā 2297-055X
    CONTRIBUTORS:Ā PhongSon Dinh;Ā JunHua Peng;Ā ThanhLoan Tran;Ā DongFeng Wu;Ā ChauMyThanh Tran;Ā ThiPhuongHoai Dinh;Ā ShangLing Pan

Grazia Ragone | Human-Computer Interaction | Best Researcher Award

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Dr. Grazia Ragone | Human-Computer Interaction | Best Researcher Award

šŸ”¬ Grazia Ragone is a researcher in Human-Computer Interaction (HCI) with a focus on autism and interactive systems. šŸ« She earned her PhD from the University of Sussex, UK, where she investigated social motor synchrony in autistic children through motion capture and sonification. šŸŽ¼ With a background in psychology, developmental science, and music therapy, she integrates interdisciplinary methods into assistive technology. šŸ’» She has extensive teaching experience in research methods, cognitive science, and HCI at the University of Sussex. šŸ† Her research has been recognized with multiple international awards, including Microsoft Researchā€™s Best Student Research Competition. šŸŒ She actively contributes as a reviewer and associate chair for HCI conferences and journals. šŸ“– Her work bridges psychology, technology, and education, aiming to enhance accessibility and interaction for neurodiverse individuals.

Profile

Education šŸŽ“

She completed her PhD in 2023 at the University of Sussex, UK, where her research focused on autism, motion capture, and social motor synchrony. Prior to this, she earned an MSc in Psychological Methods from the University of Sussex in 2018, with a focus on autism and interactional features. She also holds an MPhil in Developmental Psychology from London Metropolitan University (2015), specializing in child development and interaction. In 2014, she completed her BSc in Developmental Psychology at London Metropolitan University, studying early cognitive and social development. She further enriched her expertise with a Masterā€™s in Music & Art Therapy from Tor Vergata University in Rome (2006), where she focused on therapeutic interventions for individuals with special needs. Her academic journey began with a BA in Humanities from the University of Pavia, Italy (2004), where she studied philosophy, linguistics, and cultural studies.

Experience šŸ‘Øā€šŸ«

From 2019 to 2023, she worked as a Teaching Assistant at the University of Sussex, UK, where she taught Human-Computer Interaction (HCI), research methods, and professional skills. Prior to this, she served as a Research Assistant at the University of Sussex (2016-2018), focusing on technology designed for neurodiverse children. From 2014 to 2016, she conducted research on autism and interactive environments at London Metropolitan University. Earlier in her career, she was a Research Assistant at CNR-ISTI Pisa, Italy (2008-2014), where she contributed to the development of assistive software for autistic children. Her experience also includes working as a Music Therapist for the Rome City Council (2005-2010), providing therapeutic interventions for autistic children. Additionally, from 2010 to 2019, she worked as a Trainer and Consultant, conducting workshops and training programs for professionals in the field of autism.

Research Interests šŸ”¬

Her research focuses on Human-Computer Interaction (HCI) and autism, developing interactive systems to support neurodiverse individuals. She explores the role of music and sonification in enhancing motor and social skills through auditory feedback. Her work also includes investigating social motor synchrony using motion capture technology. She designs AI-powered assistive technology to support autistic children and applies user-centered design principles to create accessible interfaces for individuals with special needs.

Awards & Recognitions šŸ…

She has received several prestigious awards and honors for her contributions to autism research and assistive technology. In 2021, she was awarded the Best Student Research Award by Microsoft Research at the ASSETS Conference. Her work was also recognized with the Best Work in Progress Award at the IDC Conference on autism research in 2020. In 2013, she received the Horizon Research Award from London Metropolitan University for outstanding research. Her contributions to autism research earned her a Massachusetts Senate Citation in 2012, and in 2011, she was honored with the Rotary Club Research Award from CNR Pisa for excellence in autism studies.

Publications šŸ“š

  • Ā Supporting and understanding autistic childrenā€™s non-verbal interactions through OSMoSIS, a motion-based sonic system
    International Journal of Child-Computer Interaction
    2025-02 |Ā Journal article
    DOI:Ā 10.1016/j.ijcci.2025.100726
    CONTRIBUTORS:Ā Grazia Ragone;Ā Judith Good;Ā Kate Howland

  • Child-Centered AI for Empowering Creative and Inclusive Learning Experiences

    Proceedings of ACM Interaction Design and Children Conference: Inclusive Happiness, IDC 2024
    2024 |Ā Conference paper
    DOI:Ā 10.1145/3628516.3661157

    EID:

    2-s2.0-85197894406

    Part ofISBN:Ā 9798400704420
    CONTRIBUTORS:Ā Ragone, G.;Ā Ali, S.A.;Ā Esposito, A.;Ā Good, J.;Ā Howland, K.;Ā Presicce, C.

  • Designing Safe and Engaging AI Experiences for Children: Towards the Definition of Best Practices in UI/UX Design

    arXiv
    2024 |Ā Other
    DOI:Ā 10.48550/arXiv.2404.14218

    EID:

    2-s2.0-85192517180

    Part ofĀ ISSN:Ā 23318422
    CONTRIBUTORS: Ragone, G.; Buono, P.; Lanzilotti,

Meredith Storey | Pedagogy | Best Researcher Award

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Dr. Meredith Storey | Pedagogy | Best Researcher Award

šŸ“Œ Meredith Storey, Ph.D. is a Senior Manager at the UN Global Compactā€™s Principles for Responsible Management Education (PRME), dedicated to advancing business education for sustainable development. šŸŒ± She has extensive experience in pedagogy, curriculum development, and lifelong learning, integrating play-based learning strategies into management education. šŸŽ“ Before joining PRME, she contributed to the UN Sustainable Development Solutions Network and held academic roles at the University of Limerick. šŸ“š Her work has been influential in shaping responsible management education (RME), emphasizing the Sustainable Development Goals (SDGs). šŸŒ As a researcher, she has led interdisciplinary projects and collaborated with global institutions to drive innovation in education. āœØ Meredith actively contributes to policy discussions, global education initiatives, and industry collaborations, ensuring the next generation of business leaders is well-equipped for ethical and sustainable leadership. šŸš€

Profile

Education šŸŽ“

šŸŽ“ Ph.D. in Responsible Management Education & Sustainability ā€“ Focus on integrating SDGs into business curricula and experiential learning models. šŸŒ M.A. in Educational Leadership ā€“ Specialized in pedagogical innovations and lifelong learning. šŸ›ļø B.A. in Business & Management ā€“ Studied at renowned institutions with a focus on corporate social responsibility (CSR) and ethical leadership. šŸ“š Meredithā€™s education blends business, education, and sustainability, enabling her to bridge the gap between academic research and practical applications. šŸ† She has received global recognition for her scholarly contributions, shaping the field of responsible management education. šŸ”¬ With training from institutions like Harvard Graduate School of Education, she remains at the forefront of education policy, curriculum development, and international collaboration in sustainability education. šŸŒ±

Experience šŸ‘Øā€šŸ«

šŸ’¼ Senior Manager, PRME, UN Global Compact ā€“ Leading business education for sustainability initiatives. šŸŒ Formerly at the UN Sustainable Development Solutions Network, spearheading research on SDGs integration in education. šŸŽ“ University of Limerick (Kemmy Business School) ā€“ Developed curricula on responsible leadership. šŸ“š Key projects: LEGO Learning Through Play in Business Education, oikos LEAP Programme, Business Education for Sustainable Development. šŸ” Consultancy Experience: Worked with The LEGO Foundation, Higher Education Sustainability Initiative (HESI), Sulitest, and PRME Chapters worldwide. šŸŒ± Active in global forums, industry projects, and research collaborations, Meredith influences policy, curriculum innovation, and business education reform. šŸ† Her expertise spans pedagogical development, corporate sustainability, interdisciplinary learning, and digital education strategies. šŸš€

Research Interests šŸ”¬

šŸ” Responsible Management Education (RME) & Curriculum Development ā€“ Innovating pedagogical models for sustainable business leadership. šŸŒ± Integration of SDGs in Higher Education ā€“ Designing curricula that foster ethical decision-making and corporate responsibility. šŸ“š Experiential Learning & Play-Based Pedagogy ā€“ Leveraging LEGO Learning Through Play in business education. šŸŒ International Collaboration in Sustainability Education ā€“ Engaging with global institutions to shape educational policies. šŸ’» Digital Learning & Online Pedagogies ā€“ Exploring AI-driven education models for global business training. šŸŒŸ Community Building & Stakeholder Engagement ā€“ Creating networks of educators, policymakers, and industry leaders. šŸš€

Awards & Recognitions šŸ…

šŸ† PRME Leadership Excellence Award ā€“ Recognized for advancing sustainability in business education. šŸŒ± Global Responsible Management Education Innovator Award ā€“ Honored for pioneering curriculum strategies integrating SDGs. šŸ“š Best Research Paper Award (International Journal of Management Education) ā€“ Acknowledged for groundbreaking work on transformative pedagogy. šŸŽ–ļø LEGO Foundation Learning Through Play Recognition ā€“ Applauded for creative pedagogical approaches in management education. šŸŒ Higher Education Sustainability Impact Award ā€“ Celebrated for influencing education policies worldwide. šŸš€ Invited Speaker at Global Sustainability Summits ā€“ Shared insights on digital learning, ethics, and sustainability education.

Publications šŸ“š

Pritpal Singh | Ambiguous set theory | Best Researcher Award

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Dr. Pritpal Singh | Ambiguous set theory | Best Researcher Award

Pritpal Singh is an Assistant Professor at the Department of Data Science and Analytics, Central University of Rajasthan, India. He earned his Ph.D. in Computer Science and Engineering from Tezpur (Central) University in 2015 and has held various academic and research positions in India, Taiwan, and Poland. His expertise includes soft computing, optimization algorithms, time series forecasting, image analysis, and machine learning. He has published extensively in high-impact journals like IEEE Transactions, Elsevier, and Springer. His research focuses on advanced computational techniques, including quantum-based optimization and fMRI data analysis. Dr. Singh has received prestigious research fellowships, including a Postdoctoral Fellowship from Taiwanā€™s Ministry of Science and Technology and an International Visiting Research Fellowship from Polandā€™s Foundation for Polish Science. His work significantly contributes to artificial intelligence, data science, and computational modeling, making him a key figure in these fields. šŸš€šŸ“ŠšŸ“š

Profile

Education šŸŽ“

Dr. Pritpal Singh obtained his Ph.D. in Computer Science and Engineering from Tezpur (Central) University, Assam, India, in 2015, specializing in soft computing applications for time series forecasting. He completed his Master in Computer Applications (MCA) from Dibrugarh University, Assam, in 2008, following a B.Sc. in Physics, Chemistry, and Mathematics from the same university in 2005. His academic journey began with Higher Secondary (2002) from the Assam Higher Secondary Education Council and HSLC (1999) from the Secondary Education Board of Assam. His doctoral dissertation focused on improving fuzzy time series forecasting models through hybridization with neural networks and optimization techniques like particle swarm optimization. His strong foundation in computational sciences, mathematics, and engineering has shaped his research in AI-driven predictive modeling, optimization, and data analytics. šŸŽ“šŸ“ššŸ”¬

Experience šŸ‘Øā€šŸ«

Dr. Singh has extensive academic and research experience. He is currently an Assistant Professor at the Central University of Rajasthan (since June 2022). Previously, he was an Assistant Professor at CHARUSAT University, Gujarat (2015-2019), and a Lecturer at Thapar University, Punjab (2013-2015). His research experience includes serving as an Adjunct Professor (Research) at Jagiellonian University, Poland (2020-2022) and a Postdoctoral Research Fellow at National Taipei University of Technology, Taiwan (2019-2020). Throughout his career, he has mentored students, led research projects, and contributed significantly to data science, artificial intelligence, and computational modeling. His global exposure has enriched his expertise in optimization, machine learning, and interdisciplinary AI applications. šŸŒšŸ“Š

Research Interests šŸ”¬

Dr. Singhā€™s research revolves around ambiguous set theory, optimization algorithms, time series forecasting, image analysis, and machine learning. He specializes in hybrid computational techniques, particularly quantum-based optimization and soft computing applications. His work extends to fMRI data analysis, mathematical modeling, and simulation. His research has been published in leading journals such as IEEE Transactions on Systems, Elsevierā€™s Information Sciences, and Artificial Intelligence in Medicine. His focus on interdisciplinary AI applications, particularly in healthcare and data science, has positioned him as a key contributor to advancing machine learning methodologies. šŸ§ šŸ“ŠšŸ¤–Awards & Recognitions šŸ…

Dr. Singh has received multiple prestigious fellowships and recognitions. In 2019, he was awarded a Postdoctoral Research Fellowship by the Ministry of Science and Technology, Taiwan. In 2020, he received the International Visiting Research Fellowship from the Foundation for Polish Science, Poland. His contributions to artificial intelligence, optimization, and data science have been recognized globally through research grants, invited talks, and publications in top-tier journals. His work in soft computing and AI-driven predictive modeling continues to impact both academic and industrial research. šŸ…šŸŽ–ļøšŸ“œ

Publications šŸ“š

  • Scopus 1-2023: P. Singh, An investigation of ambiguous sets and their application to
    decision-making from partial order to lattice ambiguous sets. Decision Analytics
    Journal (Elsevier), 08, 100286, 2023.
  • Scopus 2-2023: P. Singh, A general model of ambiguous sets to a single-valued ambiguous numberswith aggregation operators. Decision Analytics Journal (Elsevier), 08,
    100260, 2023.
  • Scopus 3-2023: P. Singh, Ambiguous set theory: A new approach to deal with unconsciousness and ambiguousness of human perception. Journal of Neutrosophic and
    Fuzzy Systems (American Scientific Publishing Group), 05(01), 52ā€“58, 2023.
  • Scopus 4-2022: P. Singh, Marcin W Ė›atorek, Anna Ceglarek, Magdalena F Ė›afrowicz, and
    Paweł OĀ“swiĖ›ecimka, Analysis of fMRI Time Series: Neutrosophic-Entropy Based
    Clustering Algorithm. Journal of Advances in Information Technology, 13(3), 224ā€“
    229, 2022.

Fan Zhang | Proteomics | Best Researcher Award

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Dr. Fan Zhang | Proteomics | Best Researcher Award

Fan Zhang, born on September 23, 1991, is a postdoctoral researcher specializing in cancer proteogenomics šŸ”¬. He is currently with the Department of Pathology at Duke University šŸ›ļø. His research leverages mass spectrometry and bioinformatics šŸ–„ļø to investigate metabolic pathways in therapy-resistant prostate cancer and other malignancies. He has received the FY23 Prostate Cancer Research Program Early Investigator Research Award šŸ† for his work on glutamine metabolism in advanced prostate cancer. His contributions to proteogenomics have resulted in multiple high-impact publications šŸ“„ in Nature Communications, Cell Research, and Molecular & Cellular Proteomics. Proficient in LC-MS/MS, bioinformatics analysis, and experimental techniques, his research bridges the gap between basic cancer biology and clinical applications šŸ„, paving the way for novel therapeutic strategies in oncology.

Profile

Education šŸŽ“

Fan Zhang holds a Ph.D. in Biochemistry and Molecular Biology from Fudan University (2015-2020), where he focused on proteogenomic research. He further pursued postdoctoral training in Clinical Medicine at Fudan University (2020-2022) before joining Duke University as a postdoctoral researcher in the Department of Pathology in 2023. His academic journey began with a B.S. in Applied Biological Science from Anhui Agricultural University (2011-2015). Throughout his education, he gained expertise in genomics, transcriptomics, and proteomics, developing a strong foundation in bioinformatics and experimental methodologies. His interdisciplinary training has equipped him with skills in mass spectrometry-based proteomics, omics data analysis, and cancer metabolism research. His current research at Duke University focuses on metabolic vulnerabilities in prostate cancer, aiming to develop targeted therapies. His diverse academic background enables him to integrate various scientific disciplines, contributing significantly to cancer research and precision medicine.

Experience šŸ‘Øā€šŸ«

Fan Zhang has extensive research experience in cancer proteogenomics. Currently a postdoctoral researcher at Duke University (2023-present), he investigates metabolic vulnerabilities in prostate cancer using advanced mass spectrometry and omics analysis. Previously, he was a postdoc in Clinical Medicine at Fudan University (2020-2022), where he contributed to proteogenomic studies on various cancers, including pituitary neuroendocrine tumors and diffuse large B-cell lymphoma. His Ph.D. at Fudan University (2015-2020) focused on proteogenomic characterizations of cancer, leading to high-impact publications. He is proficient in LC-MS/MS, bioinformatics, and experimental methodologies such as Western blotting, immunofluorescence, and cell culture. His research integrates mass spectrometry with genomics and transcriptomics to uncover novel therapeutic targets. With expertise in multi-omics data analysis, he has significantly contributed to the field of cancer biology. His work is supported by prestigious grants, highlighting his role as a leading researcher in proteogenomics and precision oncology.

Research Interests šŸ”¬

Fan Zhang’s research focuses on proteogenomics and cancer metabolism, particularly in therapy-resistant malignancies like prostate cancer, pituitary neuroendocrine tumors, and diffuse large B-cell lymphoma. He specializes in mass spectrometry-based proteomics (DDA, DIA) and integrates multi-omics approaches, including genomics, transcriptomics, and metabolomics, to uncover novel cancer vulnerabilities. His current work at Duke University investigates glutamine metabolism in castration-resistant prostate cancer, aiming to develop targeted therapies. His expertise extends to bioinformatics analysis, large-cohort omics data interpretation, and advanced LC-MS/MS techniques for various biological samples. His research has led to multiple high-impact publications, highlighting his ability to translate complex molecular data into potential clinical applications. By combining experimental and computational approaches, he aims to identify biomarkers and therapeutic targets that can improve cancer treatment. His contributions to proteogenomics play a crucial role in advancing precision oncology and understanding the metabolic reprogramming of aggressive cancers.

 

Awards & Recognitions šŸ…

Fan Zhang has received multiple awards and recognitions for his contributions to cancer proteogenomics. He was awarded the Fiscal Year 2023 (FY23) Prostate Cancer Research Program (PCRP) Early Investigator Research Award (2023-2025) for his project on targeting glutamine metabolism in advanced prostate cancer (Award Number HT9425-24-1-0237). His research has been recognized through multiple first-author and co-first-author publications in high-impact journals such as Nature Communications, Molecular & Cellular Proteomics, Cell Research, and The Prostate. His work has also been featured as a cover article in Cell Research (2022). His expertise in mass spectrometry, proteogenomics, and bioinformatics has positioned him as a leading young investigator in the field. In addition to research grants, he has received accolades for his innovative contributions to metabolic studies in oncology. His commitment to advancing cancer research has been instrumental in developing novel therapeutic strategies for therapy-resistant malignancies.

Publications šŸ“š

Mingming Wang | Anaesthesia care | Best Researcher Award

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Ms. Mingming Wang | Anaesthesia care | Best Researcher Award

Mingming Wang, Chief Operating Room Nurse at Shenzhen Hospital (Fu Tian) of Guangzhou University of Chinese Medicine, specializes in Traditional Chinese Medicine (TCM) Nursing and Anesthesia Nursing. A graduate of Guangdong Medical University, she has led research on perioperative care, integrating TCM practices for enhanced patient outcomes. She has published three academic papers, holds three utility model patents, and conducted a research project in Futian District, Shenzhen. With a strong commitment to innovation in nursing, she applies evidence-based practices to improve surgical recovery. Wangā€™s work bridges traditional and modern medical techniques, enhancing efficiency in clinical settings.

Profile

Education šŸŽ“

Mingming Wang earned her Nursing degree from Guangdong Medical University, China. Her academic training provided a strong foundation in Traditional Chinese Medicine (TCM) Nursing and Anesthesia Nursing. Passionate about integrating innovative and evidence-based techniques into clinical practice, she has expanded her expertise through continuous research and training. Her education has played a pivotal role in her ability to develop new methodologies for perioperative care. Wangā€™s research-driven approach ensures the highest standard of patient care, improving surgical recovery outcomes.

Experience šŸ‘Øā€šŸ«

With extensive experience as Chief Operating Room Nurse at Shenzhen Hospital (Fu Tian) of Guangzhou University of Chinese Medicine, Mingming Wang leads surgical nursing teams, optimizing perioperative protocols. She has successfully implemented strategies that enhance patient safety and satisfaction. Her research on integrating Traditional Chinese Medicine into anesthesia nursing has contributed to improved recovery techniques. Wangā€™s leadership has reduced patient wait times by 15%, optimized workflow efficiency, and improved teamwork within operating rooms. Her hands-on approach to innovation in surgical nursing underscores her expertise in patient care and hospital management.

Research Interests šŸ”¬

Mingming Wang focuses on integrating Traditional Chinese Medicine Nursing with Anesthesia Nursing to enhance patient outcomes. Her research explores non-pharmacological techniques such as Magnetic Balls Pressing and TEAS for post-surgical recovery. She has conducted a randomized controlled trial in Futian District, Shenzhen, proving the efficacy of these interventions in reducing pain, nausea, and improving patient satisfaction. She is currently leading a meta-analysis on preoperative fasting duration in pediatric surgery, aiming to develop evidence-based guidelines for pediatric perioperative care. Wangā€™s research contributes to bridging traditional healing techniques with modern medical science.

Awards & Recognitions šŸ…

Mingming Wangā€™s contributions to perioperative care and Traditional Chinese Medicine Nursing have earned her multiple recognitions. She holds three granted utility model patents and has published three indexed academic papers, solidifying her role as an innovator in surgical nursing. Her groundbreaking research on Magnetic Balls Pressing combined with TEAS for postoperative recovery has been widely cited. Wang has been nominated for the Best Researcher Award for her pioneering contributions to evidence-based perioperative practices.

Publications šŸ“š

Roshan Kumar Mahato | Mental Health | Best Researcher Award

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Dr. Roshan Kumar Mahato | Mental Health | Best Researcher Award

šŸ©ŗ Dr. Roshan Kumar Mahato is an Assistant Professor at Khon Kaen University, Thailand, specializing in public health, epidemiology, and health service systems. šŸŒ With extensive academic, administrative, and research experience, he has contributed to global health projects, policy development, and infectious disease research. šŸ“Š His expertise spans geoinformatics, biostatistics, and big data analysis, with a focus on improving healthcare accessibility and disease prevention strategies. šŸ“š Dr. Mahato has served as an editor and reviewer for reputed journals and actively participates in international public health committees. šŸŒŸ

Profile

Education šŸŽ“

šŸŽ“ Dr. Mahato earned his Doctor of Public Health (DrPH) (2019) and Master of Public Health (2015) from Khon Kaen University, Thailand. šŸ‡¹šŸ‡­ He holds a Bachelor of Public Health (2010) from Purbanchal University, Nepal, and a Certificate in Health Science (2003) from Kathmandu University. šŸ“– His education has provided a strong foundation in public health systems, epidemiology, and health policy development. šŸ”¬

Experience šŸ‘Øā€šŸ«

šŸ‘Øā€šŸ« Dr. Mahato is an Assistant Professor at Khon Kaen University (2021-Present) and previously held the same role at Kathmandu University (2020-2023). šŸŒ He has been a visiting lecturer, faculty member, and editor for multiple international journals. šŸ„ His administrative roles include Executive Director of Nepal Public Health and Research Consultancy and Public Health Manager at Dhulikhel Hospital. šŸ“‘ He has led numerous international health projects and serves as a reviewer for prestigious journals. āœļø

Research Interests šŸ”¬

šŸ”¬ Dr. Mahato specializes in infectious diseases, epidemiology, and health service systems. šŸŒŽ His research integrates geoinformatics (QGIS, GeoDa, SaTScan) and big data analysis for spatial health studies. šŸ“Š His projects include dengue spatial analysis, mental health interventions for NCD patients, and pandemic preparedness planning. šŸ’‰ His work supports public health policy development, disease surveillance, and healthcare accessibility improvements worldwide.

Awards & Recognitions šŸ…

šŸ† Dr. Mahato received the “Outstanding Alumni of Doctor of Public Health Program” award (2024) at Khon Kaen University. šŸŽ–ļø He won 2nd Best Oral Presentation at the 7th International Conference on Public Health in Vietnam (2015). šŸ‡»šŸ‡³ His achievements include Best Staff of the Year at Dhulikhel Hospital (2005) and Certificate of Merit for academic excellence in Health Science (2003). šŸ… His work is recognized for its impact on public health research and education. šŸ“œ

Publications šŸ“š

Jeevitha Gowda R | Cognitive impairment | Best Researcher Award

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Ms. Jeevitha Gowda R | Cognitive impairment | Best Researcher Award

Assistant Professor, Alliance University, United Kingdom

šŸ§  Dr. Jeevitha Gowda R is a dedicated research scholar specializing in cognitive neuroscience and public health, with a strong focus on dementia prevention. She has expertise in developing cognitive screening tools, conducting neuropsychological assessments, and designing neuroscience-based interventions to enhance brain health. Currently serving as a Guest Faculty and Research Associate, she is passionate about bridging research with real-world applications. With proficiency in EEG, ERP, and data analysis, her work emphasizes cognitive aging, behavioral psychology, and mental well-being. Her research contributions include multiple conference presentations, publications, and cognitive training programs. She has received prestigious recognitions, including Best Paper Awards and research fellowships. Her commitment extends to community mental health programs, where she collaborates with NGOs and research institutions. Through her work, she aims to advance cognitive neuroscience and improve public health outcomes. šŸ“ššŸ”¬

Profile

Education šŸŽ“

šŸŽ“ Dr. Jeevitha Gowda R holds a Ph.D. in Cognitive Neuroscience and Public Health from Ramaiah University of Applied Sciences, Bengaluru (Thesis Submitted), focusing on developing cognitive tools for early dementia detection in primary healthcare settings. She earned a Masterā€™s in Cognitive Neuroscience from JSS Academy of Higher Education, Mysuru (2018), ranking among the top 3 students, with coursework in neural cognition, psychological assessment, and clinical interventions. Her dissertation explored mental fatigue due to sleep deprivation using EEG and ERP. She completed her Bachelorā€™s in Life Sciences from JSS College for Women, Mysuru (2016), excelling in biochemistry, microbiology, and environmental psychology. Additionally, she trained at the Defence Institute of Psychological Studies (DRDO) and Narayana Health, Bengaluru, gaining hands-on experience in EEG, neuropsychological assessments, and cognitive therapy. Her interdisciplinary education combines neuroscience, psychology, and public health, preparing her for impactful research and innovation in brain health. šŸ§ šŸ“–

Experience šŸ‘Øā€šŸ«

šŸ’¼ Dr. Jeevitha Gowda R has extensive experience as a Research Associate at the Centre for Integrative Health and Well-Being (2020ā€“Present), where she develops neuropsychological intervention tools and conducts cognitive behavioral therapy (CBT) programs. She also serves as a Senior Research Associate at Brighter Minds, focusing on cognitive enhancement and neuroscience-based training programs. As a Guest Lecturer at Ramaiah University of Applied Sciences (2021ā€“Present), she teaches biostatistics, neurophysiology, and psychology. Her past clinical internships at DRDO and Narayana Health provided her with hands-on expertise in EEG, ERP, and neuropsychological assessments. She has conducted research on cognitive impairment, dementia screening, and sleep deprivationā€™s effects on cognition. Additionally, she has authored 50+ neuroscience articles, presented at international conferences, and collaborated with NGOs for mental health awareness. Her diverse experience integrates academic, clinical, and research-based expertise to advance cognitive neuroscience and public health. šŸ„šŸ“Š

Research Interests šŸ”¬

šŸ”¬ Dr. Jeevitha Gowda R’s research bridges cognitive neuroscience, psychology, and public health, focusing on early dementia detection, cognitive aging, and neuropsychological interventions. She specializes in developing culturally relevant cognitive screening tools for primary healthcare, improving accessibility to dementia diagnostics. Her work explores neuropsychological assessments, EEG-based cognitive analysis, and behavioral interventions for enhancing mental well-being. She has conducted studies on sleep deprivation, cognitive impairment, and neurofeedback therapy. She collaborates with institutions like DRDO, Narayana Health, and Brighter Minds to implement neuroscience-driven programs. Her research extends to the psychological well-being of dementia caregivers, neurocognitive training for brain health, and integrating technology into mental health solutions. Through interdisciplinary studies and global research collaborations, she aims to advance early dementia detection methods and improve cognitive health strategies. Her work contributes to policy-making, clinical psychology, and public health initiatives. šŸ„šŸ“Š

Awards & Recognitions šŸ…

šŸ† Dr. Jeevitha Gowda R has received multiple accolades for her contributions to cognitive neuroscience and public health research. She won the Best Paper Award at the Epidemiology Foundation of India Conference (2023, Goa) for her groundbreaking work on dementia screening. Her research paper on cognitive tool validation earned a Special Mention at the International Dementia Conference (DEMCON-2024, IISC Bangalore). During her masterā€™s, she ranked among the top 3 dissertations at JSS Academy of Higher Education. She was awarded the Senior Research Fellowship (SRF) by Ramaiah University of Applied Sciences (2022ā€“2024) for her Ph.D. research. She has also secured research grants for projects on dementia detection and cognitive enhancement. Recognized for her impactful contributions, she collaborates with prestigious institutions, including DRDO and Narayana Health, to advance neuropsychological research. Her work continues to shape innovations in mental health and aging. šŸŽ–ļøšŸ§ 

Publications šŸ“š

  • Jeevitha Gowda R, Anish Mehta, Krishnamurthy Jayanna. (2025).
    Dementia: A Public Health Challenge in India. South Eastern European
    Journal of Public Health, 29ā€“43. Retrieved from
    hps://www.seejph.com/index.php/seejph/article/view/3295 (Scopus)

  • Jeevitha Gowda R. The Impact of Cultural Beliefs and Stigma on
    Dementia Care and Diagnosis: A Scoping Review, 25 November 2024,
    PREPRINT (Version 1) available at Research Square
    hps://doi.org/10.21203/rs.3.rs-5519592/v1
  • Jeevitha Ramesh, Parimala Guruprasad (2024) Factors Affecting the
    Psychological Well-Being of Caregivers of Dementia Patients: A
    Thematic Review. Journal of Neurology Research Reviews & Reports.
    SRC/JNRRR-260
  • Development and Validation of Cognitive Screening Tools for
    Dementia Detection in Primary Care Seings: An Exploratory Pilot
    Study ā€“ Under review at International Journal of Geriatric Psychiatry.
    (Corresponding Author)
  • Burden of Cognitive Impairment Including Dementia, and Associated
    Risk Factors Among the Rural Population of South Karnataka, India ā€“
    Under review at Journal of Public Health Research. (Corresponding
    Author)
  • Impact of Training Module on Lifestyle and Healthy Behaviours: An
    Exploratory Pilot in India ā€“ Under review at Journal Explore.
    (Co-Author)

Gerardo Fernandez | Eye tracking | Excellence in Innovation

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Dr. Gerardo Fernandez | Eye tracking | Excellence in Innovation

Gerardo Abel FernĆ”ndez šŸ‡¦šŸ‡·, born on October 29, 1976, in BahĆ­a Blanca, Argentina, is a researcher specializing in neuroscience and cognitive science šŸ§ . He is a professor and adjunct researcher at CONICET, focusing on eye movement-based biomarkers for neurodegenerative diseases šŸ‘€. His work integrates philosophy, cognitive psychology, and technology to advance Alzheimerā€™s diagnosis šŸ„.

Profile

Education šŸŽ“

šŸŽ“ Gerardo Abel FernĆ”ndez obtained a degree in Philosophy (2003) from Universidad Nacional del Sur (UNS), Argentina, with a specialization in Logic and Epistemology. He later pursued a PhD in Philosophy (2011) at UNS, with his thesis titled “Dynamic word processing during reading: Mental strategies driving visual exploration”, earning a perfect 10/10 with special mention. His academic journey includes postdoctoral research as a fellow at AGENCIA (ANPCYT) and the DAAD Max Planck Institute in Berlin. His educational background bridges philosophy, neuroscience, and cognitive psychology, forming a solid foundation for his pioneering research in eye movement analysis and Alzheimerā€™s biomarkers. His expertise in cognitive science and technological innovation has led to the development of diagnostic tools for early neurodegenerative disease detection. šŸ“ššŸ”šŸ§ 

Experience šŸ‘Øā€šŸ«

šŸ’¼ Dr. Gerardo Abel FernĆ”ndez has extensive experience in neuroscience research and technological innovation. He served as a Professor of Audiovisual Language at UNS (2011ā€“2013) and is currently an Adjunct Researcher at CONICET, focusing on non-endemic degenerative pathologies. He has worked as a Visiting Scholar at Heriot-Watt University and Strathclyde University (UK), contributing to the development of eye-tracking biomarkers for Alzheimerā€™s disease. Dr. FernĆ”ndez is also a scientific reviewer for prestigious journals like PlosOne, Journal of Alzheimerā€™s Disease, and Neuropsychologia. As CTO of Viewmind, he leads biocognitive and functional performance measurement innovations. He has patented cognitive evaluation methods and received grants from institutions like ANPCYT and DAAD. His interdisciplinary expertise spans cognitive neuroscience, machine learning applications in diagnostics, and technological development for neurodegenerative disease assessment. šŸ…šŸ”¬šŸ‘ļø

Research Interests šŸ”¬

šŸ”¬ Dr. Gerardo Abel FernĆ”ndez specializes in cognitive neuroscience, neurodegenerative disease biomarkers, and eye-tracking technology. His research focuses on early Alzheimerā€™s detection through oculomotor behavior analysis. He has developed innovative methods to study visual exploration, reading difficulties, and memory impairments in neurodegenerative conditions. His work integrates machine learning and artificial intelligence for cognitive assessment tools. As a Visiting Scholar in the UK, he contributed to developing biomarkers for Alzheimerā€™s disease. His patented eye-tracking system has clinical applications in detecting mild cognitive impairment and Alzheimerā€™s disease. He has published extensively in peer-reviewed journals, exploring predictive eye movement models and their correlation with cognitive decline. His cutting-edge research bridges philosophy, neuroscience, and technology, offering non-invasive diagnostic solutions for early-stage neurodegeneration. His ultimate goal is to revolutionize cognitive healthcare through technological innovation. šŸ§ šŸ‘ļøšŸ“Š

Awards & Recognitions šŸ…

šŸ† Dr. Gerardo Abel FernĆ”ndez has received numerous awards for his contributions to neuroscience, cognitive evaluation, and Alzheimerā€™s diagnostics. His eye-tracking research for Alzheimerā€™s detection earned the Dr. JosĆ© Borda Clinical Psychiatry Prize at the 22nd International Congress of Psychiatry. He won the Novartis Innovation Award for his work on measuring cognitive performance in health and disease. As CTO of Viewmind, his team received international recognition, including the Fit4Start Luxembourg Award for health applications and the Medica Innovation Prize in DĆ¼sseldorf. His research and patented cognitive evaluation equipment have been acknowledged by ANMAT (Argentinaā€™s National Administration of Drugs, Foods, and Medical Technology) and INPI (Argentinaā€™s National Patent Office). Dr. FernĆ”ndez’s groundbreaking innovations in neurocognitive assessments have positioned him as a leading figure in technological advancements for early Alzheimerā€™s detection. šŸ…šŸ§ šŸ”¬

Publications šŸ“š

  • Oculomotor behaviors and integrative memory functions in the alzheimer’s clinical syndrome

    Journal of Alzheimer’s Disease
    2021 |Ā Journal article
    DOI:Ā 10.3233/JAD-201189

  • A non-invasive tool for attention-deficit disorder analysis based on gaze tracks.

    ACM International Conference Proceeding Series
    2019 |Ā Conference paper
    DOI:Ā 10.1145/3309772.3309777

  • Microsaccadic behavior when developing a complex dynamical activity

    Journal of Integrative Neuroscience
    2018 |Ā Journal article
    DOI:Ā 10.3233/JIN-170057

    EID:

    2-s2.0-85053731401

Lichen Shi | Mechanical Engineering | Best Researcher Award

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Prof. Lichen Shi | Mechanical Engineering | Best Researcher Award

 

Profile

Education

Lichen Shi (also written as Shi Lichen) is a distinguished Chinese researcher specializing in intelligent measurement, equipment status monitoring, fault diagnosis, and electromechanical system modeling. He was born on June 28, 1972, and is currently affiliated with the School of Mechanical and Electrical Engineering at Xiā€™an University of Architecture and Technology (XAUAT), China.

With a strong academic and research background, Professor Shi has dedicated his career to advancing intelligent measurement techniques through deep learning, as well as improving the reliability of electromechanical systems through fault diagnosis and dynamic analysis.

Academic Contributions

Professor Shi has published extensively in prestigious international journals, particularly in IEEE Sensors Journal, Measurement, and Computer Engineering & Applications. His notable works focus on deep learning-based fault diagnosis, graph neural networks, and AI-driven predictive modeling for mechanical systems.

Some of his key contributions include:

  • Developing an AI-based method for reading pointer meters using human-like reading sequences.
  • Proposing a graph neural network and Markov transform fields approach for gearbox fault diagnosis.
  • Introducing CBAM-ResNet-GCN methods for unbalance fault detection in rotating machinery.
  • Advancing domain transfer learning techniques for mixed-data gearbox fault diagnosis.
  • Pioneering a lightweight low-light object detection algorithm (CDD-YOLO) for enhanced industrial applications.

His research findings have contributed significantly to the optimization of industrial machinery, predictive maintenance, and AI-driven automation in electromechanical systems. Many of his publications are frequently cited, underlining their impact on the field.

Research Interests

Professor Shi’s research spans multiple cutting-edge areas, including:

  • Intelligent Measurement with Deep Learning
  • Equipment Status Monitoring and Fault Diagnosis
  • Electromechanical System Modeling and Dynamic Analysis

Professional Impact

As a leading expert in intelligent diagnostics and mechanical system optimization, Professor Shi has played a crucial role in bridging the gap between artificial intelligence and industrial engineering. His contributions have aided in the development of more efficient, predictive, and adaptive electromechanical systems, helping industries reduce downtime and improve operational efficiency.

Publication

  • [1] Qi Liu, Lichen Shi*. A pointer meter reading method based on human-like readingsequence and keypoint detection[J]. Measurement, 2025(248): 116994. https://doi.org/10.1016/j.measurement.2025.116994
  • [2] Haitao Wang, Zelin. Liu, Mingjun Li, Xiyang Dai, Ruihua Wang and LichenShi*. AGearbox Fault Diagnosis Method Based on Graph Neural Networks and MarkovTransform Fields[J]. IEEE Sensors Journal, 2024, 24(15) ļ¼š25186-25196. doi:
    10.1109/JSEN.2024.3417231
  • [3] Haitao Wang, Xiyang Dai, Lichen Shi*, Mingjun Li, Zelin Liu, Ruihua Wang , XiaohuaXia. Data-Augmentation Based CBAM-ResNet-GCN Method for Unbalance Fault
    Diagnosis of Rotating Machinery[J]. IEEE Sensors Journal, 2024,12:34785-34799. DOI:
    10.1109/access.2024.3368755.
  • 4] Haitao Wang, Mingjun Li, Zelin Liu, Xiyang Dai, Ruihua Wang and Lichen Shi*. RotaryMachinery Fault Diagnosis Based on Split Attention MechanismandGraphConvolutional Domain Adaptive Adversarial Network[J]. IEEE Sensors Journal, 2024,
    24(4) :5399-5413. doi: 10.1109/JSEN.2023.3348597.
  • [5] Haitao Wang, Xiyang Dai, Lichen Shi*. Gearbox Fault Diagnosis Based onMixedData-Assisted Multi-Source Domain Transfer Learning under Unbalanced Data[J]. IEEESensors Journal. doi: 10.1109/JSEN.2024.3477929