Meredith Storey | Pedagogy | Best Researcher Award

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Dr. Meredith Storey | Pedagogy | Best Researcher Award

📌 Meredith Storey, Ph.D. is a Senior Manager at the UN Global Compact’s Principles for Responsible Management Education (PRME), dedicated to advancing business education for sustainable development. 🌱 She has extensive experience in pedagogy, curriculum development, and lifelong learning, integrating play-based learning strategies into management education. 🎓 Before joining PRME, she contributed to the UN Sustainable Development Solutions Network and held academic roles at the University of Limerick. 📚 Her work has been influential in shaping responsible management education (RME), emphasizing the Sustainable Development Goals (SDGs). 🌍 As a researcher, she has led interdisciplinary projects and collaborated with global institutions to drive innovation in education. ✨ 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. 🚀

Profile

Education 🎓

🎓 Ph.D. in Responsible Management Education & Sustainability – Focus on integrating SDGs into business curricula and experiential learning models. 🌍 M.A. in Educational Leadership – Specialized in pedagogical innovations and lifelong learning. 🏛️ B.A. in Business & Management – Studied at renowned institutions with a focus on corporate social responsibility (CSR) and ethical leadership. 📚 Meredith’s education blends business, education, and sustainability, enabling her to bridge the gap between academic research and practical applications. 🏆 She has received global recognition for her scholarly contributions, shaping the field of responsible management education. 🔬 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. 🌱

Experience 👨‍🏫

💼 Senior Manager, PRME, UN Global Compact – Leading business education for sustainability initiatives. 🌍 Formerly at the UN Sustainable Development Solutions Network, spearheading research on SDGs integration in education. 🎓 University of Limerick (Kemmy Business School) – Developed curricula on responsible leadership. 📚 Key projects: LEGO Learning Through Play in Business Education, oikos LEAP Programme, Business Education for Sustainable Development. 🔍 Consultancy Experience: Worked with The LEGO Foundation, Higher Education Sustainability Initiative (HESI), Sulitest, and PRME Chapters worldwide. 🌱 Active in global forums, industry projects, and research collaborations, Meredith influences policy, curriculum innovation, and business education reform. 🏆 Her expertise spans pedagogical development, corporate sustainability, interdisciplinary learning, and digital education strategies. 🚀

Research Interests 🔬

🔍 Responsible Management Education (RME) & Curriculum Development – Innovating pedagogical models for sustainable business leadership. 🌱 Integration of SDGs in Higher Education – Designing curricula that foster ethical decision-making and corporate responsibility. 📚 Experiential Learning & Play-Based Pedagogy – Leveraging LEGO Learning Through Play in business education. 🌍 International Collaboration in Sustainability Education – Engaging with global institutions to shape educational policies. 💻 Digital Learning & Online Pedagogies – Exploring AI-driven education models for global business training. 🌟 Community Building & Stakeholder Engagement – Creating networks of educators, policymakers, and industry leaders. 🚀

Awards & Recognitions 🏅

🏆 PRME Leadership Excellence Award – Recognized for advancing sustainability in business education. 🌱 Global Responsible Management Education Innovator Award – Honored for pioneering curriculum strategies integrating SDGs. 📚 Best Research Paper Award (International Journal of Management Education) – Acknowledged for groundbreaking work on transformative pedagogy. 🎖️ LEGO Foundation Learning Through Play Recognition – Applauded for creative pedagogical approaches in management education. 🌍 Higher Education Sustainability Impact Award – Celebrated for influencing education policies worldwide. 🚀 Invited Speaker at Global Sustainability Summits – Shared insights on digital learning, ethics, and sustainability education.

Publications 📚

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 Taiwan’s Ministry of Science and Technology and an International Visiting Research Fellowship from Poland’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. 🚀📊📚

Profile

Education 🎓

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. 🎓📚🔬

Experience 👨‍🏫

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. 🌍📊

Research Interests 🔬

Dr. Singh’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, Elsevier’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. 🧠📊🤖Awards & Recognitions 🏅

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. 🏅🎖️📜

Publications 📚

  • 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), 52–58, 2023.
  • Scopus 4-2022: P. Singh, Marcin W ˛atorek, Anna Ceglarek, Magdalena F ˛afrowicz, and
    Paweł O´swi˛ecimka, Analysis of fMRI Time Series: Neutrosophic-Entropy Based
    Clustering Algorithm. Journal of Advances in Information Technology, 13(3), 224–
    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 🔬. He is currently with the Department of Pathology at Duke University 🏛️. His research leverages mass spectrometry and bioinformatics 🖥️ 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 🏆 for his work on glutamine metabolism in advanced prostate cancer. His contributions to proteogenomics have resulted in multiple high-impact publications 📄 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 🏥, paving the way for novel therapeutic strategies in oncology.

Profile

Education 🎓

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 👨‍🏫

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 🔬

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 🏅

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 📚

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. Wang’s work bridges traditional and modern medical techniques, enhancing efficiency in clinical settings.

Profile

Education 🎓

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. Wang’s research-driven approach ensures the highest standard of patient care, improving surgical recovery outcomes.

Experience 👨‍🏫

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. Wang’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 🔬

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. Wang’s research contributes to bridging traditional healing techniques with modern medical science.

Awards & Recognitions 🏅

Mingming Wang’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 📚

Roshan Kumar Mahato | Mental Health | Best Researcher Award

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

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

Profile

Education 🎓

🎓 Dr. Mahato earned his Doctor of Public Health (DrPH) (2019) and Master of Public Health (2015) from Khon Kaen University, Thailand. 🇹🇭 He holds a Bachelor of Public Health (2010) from Purbanchal University, Nepal, and a Certificate in Health Science (2003) from Kathmandu University. 📖 His education has provided a strong foundation in public health systems, epidemiology, and health policy development. 🔬

Experience 👨‍🏫

👨‍🏫 Dr. Mahato is an Assistant Professor at Khon Kaen University (2021-Present) and previously held the same role at Kathmandu University (2020-2023). 🌍 He has been a visiting lecturer, faculty member, and editor for multiple international journals. 🏥 His administrative roles include Executive Director of Nepal Public Health and Research Consultancy and Public Health Manager at Dhulikhel Hospital. 📑 He has led numerous international health projects and serves as a reviewer for prestigious journals. ✍️

Research Interests 🔬

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

Awards & Recognitions 🏅

🏆 Dr. Mahato received the “Outstanding Alumni of Doctor of Public Health Program” award (2024) at Khon Kaen University. 🎖️ He won 2nd Best Oral Presentation at the 7th International Conference on Public Health in Vietnam (2015). 🇻🇳 His achievements include Best Staff of the Year at Dhulikhel Hospital (2005) and Certificate of Merit for academic excellence in Health Science (2003). 🏅 His work is recognized for its impact on public health research and education. 📜

Publications 📚

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

🧠 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. 📚🔬

Profile

Education 🎓

🎓 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 Master’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 Bachelor’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. 🧠📖

Experience 👨‍🏫

💼 Dr. Jeevitha Gowda R has extensive experience as a Research Associate at the Centre for Integrative Health and Well-Being (2020–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 (2021–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 deprivation’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. 🏥📊

Research Interests 🔬

🔬 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. 🏥📊

Awards & Recognitions 🏅

🏆 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 master’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 (2022–2024) 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. 🎖️🧠

Publications 📚

  • Jeevitha Gowda R, Anish Mehta, Krishnamurthy Jayanna. (2025).
    Dementia: A Public Health Challenge in India. South Eastern European
    Journal of Public Health, 29–43. 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 – 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 –
    Under review at Journal of Public Health Research. (Corresponding
    Author)
  • Impact of Training Module on Lifestyle and Healthy Behaviours: An
    Exploratory Pilot in India – Under review at Journal Explore.
    (Co-Author)

Gerardo Fernandez | Eye tracking | Excellence in Innovation

Published on by Cognitive Scientist Awards

Dr. Gerardo Fernandez | Eye tracking | Excellence in Innovation

Gerardo Abel Fernández 🇦🇷, born on October 29, 1976, in Bahía Blanca, Argentina, is a researcher specializing in neuroscience and cognitive science 🧠. He is a professor and adjunct researcher at CONICET, focusing on eye movement-based biomarkers for neurodegenerative diseases 👀. His work integrates philosophy, cognitive psychology, and technology to advance Alzheimer’s diagnosis 🏥.

Profile

Education 🎓

🎓 Gerardo Abel Fernández 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 Alzheimer’s biomarkers. His expertise in cognitive science and technological innovation has led to the development of diagnostic tools for early neurodegenerative disease detection. 📚🔍🧠

Experience 👨‍🏫

💼 Dr. Gerardo Abel Fernández has extensive experience in neuroscience research and technological innovation. He served as a Professor of Audiovisual Language at UNS (2011–2013) 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 Alzheimer’s disease. Dr. Fernández is also a scientific reviewer for prestigious journals like PlosOne, Journal of Alzheimer’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. 🏅🔬👁️

Research Interests 🔬

🔬 Dr. Gerardo Abel Fernández specializes in cognitive neuroscience, neurodegenerative disease biomarkers, and eye-tracking technology. His research focuses on early Alzheimer’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 Alzheimer’s disease. His patented eye-tracking system has clinical applications in detecting mild cognitive impairment and Alzheimer’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. 🧠👁️📊

Awards & Recognitions 🏅

🏆 Dr. Gerardo Abel Fernández has received numerous awards for his contributions to neuroscience, cognitive evaluation, and Alzheimer’s diagnostics. His eye-tracking research for Alzheimer’s detection earned the Dr. José 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 Düsseldorf. His research and patented cognitive evaluation equipment have been acknowledged by ANMAT (Argentina’s National Administration of Drugs, Foods, and Medical Technology) and INPI (Argentina’s National Patent Office). Dr. Fernández’s groundbreaking innovations in neurocognitive assessments have positioned him as a leading figure in technological advancements for early Alzheimer’s detection. 🏅🧠🔬

Publications 📚

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

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

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

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

  • Microsaccadic behavior when developing a complex dynamical activity

    Journal of Integrative Neuroscience
    2018 | Journal article
    DOI: 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 Xi’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) ：25186-25196. 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

 

Radhika Subramanian | Speech Processing | Women Researcher Award

Published on by Cognitive Scientist Awards

Dr. Radhika Subramanian | Speech Processing | Women Researcher Award

 

Profile

Education

She is currently pursuing a PhD at Anna University, Chennai, with an expected completion in 2025. She obtained her Master of Engineering in Communication Systems from B.S. Abdur Rahman Crescent Engineering College, Chennai, achieving 82.3% in the academic years 2007-2009. Prior to that, she completed her Bachelor of Engineering in Electronics and Communication Engineering from Kanchi Pallavan Engineering College, Kanchipuram, affiliated with Anna University, securing 84% from 2003 to 2007. She completed her Higher Secondary education at S.S.K.V Higher Secondary School, Kanchipuram, with 88% marks from 2001 to 2003, and her Secondary School Leaving Certificate from the same institution, scoring 84% in the year 2000-2001.

Work experience

As of January 31, 2025, she has a total academic experience of 14 years, 7 months, and 15 days. She has been serving as an Assistant Professor Grade-II at Sri Venkateswara College of Engineering, Sriperumpudur, since June 11, 2010. Prior to this, she worked as a Lecturer at Arulmigu Meenakshi Amman College of Engineering, Kanchipuram, from July 1, 2009, to May 7, 2010, gaining 10 months of experience. Her cumulative teaching experience amounts to 14 years, 17 months, and 15 days.

AREA OF INTEREST

  • Data Communication and Networking
  • Satellite communication
  • Signal Processing
  • Machine Learning

Publication

  • Radhika, S & Prasanth, A 2024, „An Effective Speech Emotion Recognition Model for Multi-Regional Languages Using Threshold-based Feature Selection Algorithm‟, Circuits, Systems, and Signal Processing, vol. 43, pp. 2477–2506, ISSN: 1531-5878,DOI: 10.1007/s00034-023-02571-4, Impact Factor: 2.3.
  • Radhika, S & Prasanth, A 2024, „An Effective Speech Emotion Recognition Model for Multi-Regional Languages Using Threshold-based Feature Selection Algorithm‟, Circuits, Systems, and Signal Processing, vol. 43, pp. 2477–2506, ISSN: 1531-5878,DOI: 10.1007/s00034-023-02571-4, Impact Factor: 2.3.
  • A Survey of Human Emotion Recognition Using Speech Signals: Current Trends and Future Perspectives
    R Subramanian, P Aruchamy
    Micro-Electronics and Telecommunication Engineering: Proceedings of 6th

 

 

Monia Orciani | Stem cells | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof Dr. Monia Orciani | Stem cells | Best Researcher Award

 

Profile

Education

On January 23, 2004, she was awarded a PhD in Biomedical Biotechnology from the Università Politecnica delle Marche. In 2001, she obtained her qualification as a Professional Biologist from the same institution. She completed her degree in Biological Sciences on March 10, 2000, graduating with top honors (110/110 cum laude).

Her native language is Italian. She is also proficient in English at the C1 level across listening, reading, interaction, speaking, and writing. She achieved the LanguageCert Level 2 Certificate in ESOL International (Speaking) (Expert C1) on January 20, 2023.

Work experience

Since July 15, 2019, she has been serving as an Associate Professor in the scientific-disciplinary sector BIO/17 – Histology at the Department of Clinical and Molecular Sciences, Università Politecnica delle Marche. She obtained her qualification as a Second-Tier Professor in Applied Biology (SSD 05/F1) on April 4, 2017, and later achieved First-Tier Professor qualification in Histology (SSD 05/H2) on November 18, 2020. Previously, she was a confirmed Researcher in Histology at the same department from April 13, 2015, following an initial appointment as a non-confirmed Researcher from November 1, 2011, to April 13, 2015. Before that, she held a research fellowship from June 3, 2011, to November 1, 2011, focusing on the use of stem cells in regenerative medicine. From June 1, 2010, to May 31, 2011, she was a research grant holder investigating skin-derived stem cells and their clinical prospects in regenerative therapy at the Department of Experimental and Clinical Medicine. Between November 1, 2003, and April 15, 2010, she conducted research on leukocyte ectoenzymes and their role in the pathogenesis, diagnosis, and treatment of selected human diseases at the Department of Molecular Pathology and Innovative Therapies – Histology. From July 16, 2001, to July 15, 2003, she held a research fellowship focused on monoclonal antibodies for in vivo applications at the Institute of Biology and Genetics. Her early experience includes an internship at the Institute of Biology, Genetics, and Biochemistry, University of Medicine and Surgery, Turin, from May 1, 2000, to December 1, 2000.

Teaching Experience

Since the academic year 2022/23, she has been the course leader for Histology in the Medicine and Surgery (MedTech) degree programme at the Università Politecnica delle Marche.

Since 2019/20, she has held the position of Histology lecturer within the integrated course Human Morphological Sciences for the Dental Hygiene degree programme at the same university.

She has also taught Histology within the integrated Histology-Anatomy-Physiology course for the Medical Radiology Techniques for Imaging and Radiotherapy degree programme during the academic years 2016/17–2018/19 and again in 2022/23.

Since 2022/23, she has been responsible for teaching Histology within the Morphology and Histology integrated course for the Midwifery degree programme.

Since 2017/18, she has been a Tutor for AFP (Basic Sciences and First Aid Area) in the Medicine and Surgery degree programme.

She has also been involved in structured and cross-disciplinary teaching for the PhD in Human Health and Biomedical Sciences since 2017/18.

Since 2017/18, she has led an elective teaching activity (ADE) titled “Biotechnologies for the Study of Normal Human Histology” in the Medicine and Surgery degree programme.

From 2019/20 to 2021/22, she taught Histology for the Dentistry and Dental Prosthetics degree programme.

Between 2016/17 and 2017/18, she was the English Language course leader for the Medical Radiology Techniques for Imaging and Radiotherapy degree programme.

She is proficient in Microsoft Office and holds an Expert C1 Level LanguageCert Certificate in ESOL International (Speaking), awarded on 20 January 2023.

In the academic year 2018/19, she taught Histology within the Biomedical Sciences 1 integrated course for the Physiotherapy degree programme.

Between 2017/18 and 2018/19, she led a seminar-based Histology course for the Dietetics degree programme.

Since 2016/17, she has been responsible for a seminar-based Histology course in the Nursing degree programme at the Fermo campus.

Between 2012/13 and 2018/19, she taught Histology within the Histology-Anatomy integrated course for the Biomedical Laboratory Techniques degree programme.

Since 2012/13, she has also been responsible for a seminar-based Histology course in the Nursing degree programme at the Macerata campus.

Research project

Professor Monia Orciani has been recognised with the ImmunoTools IT-FlowISiAM-Award 2024 for her research on “Searching for New Targets for Alzheimer’s Disease.” She is the Principal Investigator (PI) of the PRIN 2022 project titled “The Effects of Cortisol Excess on Neurogenesis in Alzheimer’s Disease: A Mandatory Footpath through Stem Cells (FORGETFUL)” (Project ID: 2022XF7XZF). In 2022, she secured funding from Boehringer-Ingelheim for a study on the “Role of Nintedanib on Mesenchymal Stem Cells Derived from Patients with Idiopathic Pulmonary Fibrosis (IPF),” in collaboration with Professor Martina Bonifazi. Additionally, she received the Fondo di Finanziamento Attività di Base di Ricerca (FFABR) – FFO grant in 2017 for her research on “Inflammation and Stem Cells: New Associations.” Her work on stem cells also led to a strategic university project (2017–2019) investigating “The Role of Stem Cells in Cutaneous Repair Deficiency in Patients with Endogenous and Exogenous Cushing’s Syndrome.”

Professor Orciani has contributed to several national research initiatives, including PRIN 2017, where she collaborated on “The Impact of Glucocorticoid Circadian Rhythm Disruption on Cardiovascular Risk and Immune Dysfunction: Pathophysiology and Novel Biomarkers of Glucocorticoid Exposure in Hypercortisolism and Hypocortisolism (CHRONO-IMAGE),” led by Professor Rosario Pivonello (Project ID: 2017HRTZYA_005). Earlier in her career, she was involved in FIRB-funded projects, such as the 2011 study on “Molecular Markers for Diagnosis, Prognosis, and the Development of New Therapeutic Strategies for Adrenal Carcinoma” (PI: Professor Roberto Di Primio, Project ID: RBAP1153LS_004) and the 2010 preclinical evaluation of “Scaffolds for Skeletal Tissue Regeneration” (PI: Professor Roberto Giardino, Project ID: RBAP10MLK7_003). In 2010, she participated in a PRIN project examining “The Interaction between Glucose and Bone Metabolism for the Cardiometabolic Characterisation of a Population of Young Obese Individuals” (PI: Professor Roberto Di Primio, Project ID: 201098WFZ2_006). Her involvement in FIRB dates back to 2001, where she contributed to a study on “Leukocyte Ectoenzymes and Their Role in the Pathogenesis, Diagnosis, and Therapy of Selected Human Diseases” (PI: Professor Fabio Malavasi, Project ID: RBNE01N4Z9_003).

Publication

  • 1. Pisciotta A, Di Tinco R, Bertani G, Orlandi G, Bertoni L, Pignatti E, Orciani M, Sena P,
    Bertacchini J, Salvarani C, Carnevale G. Human dental pulp stem cells (hDPSCs) promote the
    lipofibroblast transition in the early stage of a fibro-inflammatory process. Front Cell Dev Biol.
    2023;11:1196023
  • Preziuso A, Piccirillo S, Cerqueni G, Serfilippi T, Terenzi V, Vinciguerra A, Orciani M, Amoroso
    S, Magi S, Lariccia V. Exploring the Role of NCX1 and NCX3 in an In Vitro Model of
    Metabolism Impairment: Potential Neuroprotective Targets for Alzheimer’s Disease. Biology
    (Basel). 2023;12:1005.
  • Di Vincenzo M, Diotallevi F, Piccirillo S, Carnevale G, Offidani A, Campanati A, Orciani M.
    miRNAs, Mesenchymal Stromal Cells and Major Neoplastic and Inflammatory Skin Diseases:
    A Page Being Written: A Systematic Review. Int J Mol Sci. 2023;24:8502.
  • Di Vincenzo M, Orciani M. Special Issue “The Role of Mesenchymal Stem Cells on
    Inflammatory and Fibrotic Diseases”. Int J Mol Sci. 2023;24:8578.
  • Di Vincenzo M, Martino M, Lariccia V, Giancola G, Licini C, Di Benedetto G, Arnaldi G,
    Orciani M. Mesenchymal Stem Cells Exposed to Persistently High Glucocorticoid Levels
    Develop Insulin-Resistance and Altered Lipolysis: A Promising In Vitro Model to Study
    Cushing’s Syndrome. Front Endocrinol (Lausanne). 2022;13:816229