Danielle Scharp | Aging Health | Best Researcher Award

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Dr. Danielle Scharp | Aging Health | Best Researcher Award

Postdoctoral Research Fellow at Icahn School of Medicine at Mount Sinai, United States

Dr. D. Scharp is a board-certified Family Nurse Practitioner and nursing scientist whose work lies at the intersection of clinical care, health disparities, informatics, and gerontological research. With over a decade of clinical and academic experience, Dr. Scharp leverages natural language processing (NLP) and machine learning in the study of urinary incontinence, hospitalization risks, and bias in clinical documentation. She is a published researcher, a dedicated mentor, and an invited speaker recognized for her scholarly and clinical contributions to nursing and health informatics.

Publication Profile 

Orcid

Educational Background 🎓

  • Ph.D. in Nursing – Columbia University (2021–2024)
    Dissertation: Leveraging Natural Language Processing to Identify Risk for Hospitalizations Among Older Adult Home Healthcare Patients with Urinary Incontinence
    Advisor: Dr. Maxim Topaz
    Fellowships:

    • RHeaDI Fellowship Program (T32NR007969)

    • Research on Disparities in Aging and Dementia (DiAD) (T32AG066598), Mount Sinai

  • MSN, Family Nurse Practitioner – Georgetown University (2012–2015)

  • BSN, Biology Minor – Wagner College (2006–2010)
    Graduated Magna Cum Laude, earned Department Honors and multiple student leadership and academic awards.

Professional Experience 💼

🔹 Clinical Experience:

  • Family Nurse Practitioner – Costa Berkshire Group, NY (2017–2021)

  • Family Nurse Practitioner – Tri-County Community Action Agency, RI (2015–2017)

  • Registered Nurse – MedStar Georgetown University Hospital and other institutions (2010–2015)

🔹 Research Experience:

  • Columbia University School of Nursing

    • Studied economic marginalization in gender minorities and HIV outcomes

    • Explored symptom burden in atrial fibrillation

    • Investigated racial/ethnic bias in obstetric care

    • Developed predictive models for preventable hospitalizations in homecare

    • Assessed nursing documentation in electronic health records

Research Interests 🔬

  • Natural Language Processing (NLP) in healthcare

  • Health disparities in aging populations

  • Home healthcare and hospitalization prevention

  • Urinary incontinence in older adults

  • Clinical decision support systems

  • Bias and stigmatizing language in clinical documentation

  • Maternal health equity and symptom documentation

Awards and Honors🏆✨

  • Urologic Nursing Outstanding Reviewer Award (2020)

  • Caring Star Award – MedStar Georgetown University Hospital (2011 & 2012)

  • Mary Burr Award, Senior Scholar Athlete Award, Department Honors, and multiple scholarships and academic distinctions from Wagner College

  • Magna Cum Laude Graduate – Wagner College

Professional Memberships🧩

  • Gerontological Society of America

  • American Medical Informatics Association (AMIA)

  • International Continence Society

  • Society of Urologic Nurses and Associates (Reviewer)

  • Sigma Theta Tau – Columbia and Wagner Chapters

  • Eastern Nursing Research Society

  • Multiple state nurse practitioner associations

Teaching and Leadership📚

  • Invited speaker at George Washington University and Columbia University

  • Instructor and mentor for doctoral and nursing students in informatics, grant writing, and evidence-based practice

  • Co-editor, AMIA Student Working Group Newsletter

  • Doctoral Seminar Leader and Peer Mentor, Columbia University

Conclusion🌟

Dr. D. Scharp exemplifies a modern nurse scientist — grounded in clinical practice and committed to solving pressing healthcare problems through advanced informatics and research. Her robust academic training, clinical expertise, and data science focus enable her to address disparities in aging, chronic conditions, and maternal health. With a strong foundation in NLP, data-driven decision-making, and mentorship, she is poised to continue shaping the future of health equity, nursing science, and healthcare innovation.

Publications 📚

  1. 📄 Age-related differences in unmet needs and their predictors among adults with bladder cancer
    📘 Urologic Oncology: Seminars and Original Investigations | 🗓️ July 2025
    🔗 DOI: 10.1016/j.urolonc.2025.06.007
    👩‍🔬 Contributors: Danielle Scharp, Tung-Ming Leung, Bente Thoft Jensen, et al.

  2. 🧩 Symptom Burden: A Concept Analysis
    📘 Nursing Science Quarterly | 🗓️ April 2025
    🔗 DOI: 10.1177/08943184241311908
    👩‍🔬 Contributors: Danielle Scharp, Sarah E. Harkins, Maxim Topaz

  3. 💬 Applying NLP to Understand Symptoms Among Older Adults with Urinary Incontinence
    📘 Journal of Nursing Scholarship | 🗓️ January 2025
    🔗 DOI: 10.1111/jnu.13038
    👩‍🔬 Contributors: Danielle Scharp, Jiyoun Song, Mollie Hobensack, et al.

  4. 🧠 Developing a Clinical Decision Support Framework in Home Health for Heart Failure
    📘 Journal of Nursing Scholarship | 🗓️ January 2025
    🔗 DOI: 10.1111/jnu.13030
    👩‍🔬 Contributors: Sena Chae, Danielle Scharp, et al.

  5. 🏥 Social Determinants of Health Documentation Across Racial/Ethnic Groups
    📘 Journal of Nursing Scholarship | 🗓️ January 2025
    🔗 DOI: 10.1111/jnu.12980
    👩‍🔬 Contributors: Mollie Hobensack, Danielle Scharp, et al.

  6. 🏩 Secondary Qualitative Analysis of Stigmatizing Language in Hospital Birth Settings
    📘 Journal of Obstetric, Gynecologic & Neonatal Nursing | 🗓️ January 2025
    🔗 DOI: 10.1016/j.jogn.2024.10.003
    👩‍🔬 Contributors: Veronica Barcelona, Danielle Scharp, et al.

  7. 📝 NLP Applied to Clinical Documentation in Post-Acute Care: A Scoping Review
    📘 Journal of the American Medical Directors Association | 🗓️ January 2024
    🔗 DOI: 10.1016/j.jamda.2023.09.006
    👩‍🔬 Contributors: Danielle Scharp, Mollie Hobensack, et al.

  8. 🧓 Comorbidities of Older Adults with Urinary Incontinence: A Scoping Review
    📘 Geriatric Nursing | 🗓️ September 2023
    🔗 DOI: 10.1016/j.gerinurse.2023.08.005
    👩‍🔬 Contributors: Danielle Scharp, Sarah E. Harkins, Maxim Topaz

  9. 🗣️ Qualitative Analysis of Stigmatizing Language in Birth Admission Notes
    📘 Nursing Inquiry | 🗓️ July 2023
    🔗 DOI: 10.1111/nin.12557
    👩‍🔬 Contributors: Veronica Barcelona, Danielle Scharp, et al.

 

 

 

Emile Blaise Siewe Pougoue | Agricultural Economics | Innovative Research Award

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Dr. Emile Blaise Siewe Pougoue | Agricultural Economics | Innovative Research Award

Lecturer at University of Maroua, Cameroon

Dr. Emile Blaise Siewe Pougoue is an accomplished Cameroonian scholar and Lecturer-Researcher specializing in Agricultural Economics, with over 10 years of experience in academic instruction, applied research, rural development, innovation systems, and food security policy. His work is deeply rooted in addressing agricultural innovation, rural livelihoods, food systems, and sustainable development challenges in Sub-Saharan Africa. He holds several academic roles across public and private institutions and serves as a consultant for international projects such as CIFOR-ICRAF.

Publication Profile 

Orcid

Educational Background 🎓

Dr. Emile Blaise Siewe Pougoue possesses a strong and diverse academic background in agricultural economics and rural development. He earned his Ph.D. in Engineering Sciences with a specialization in Agroeconomics from the University of Maroua, Cameroon in 2021, graduating with the highest distinction of Très Honorable. Prior to that, he obtained a Master of Science in Agronomy, specializing in Integrated Rural Development from the University of Dschang, Cameroon in 2017, where he was awarded a Très Bien distinction. In 2016, he completed a Professional Master’s Degree in Agronomy with a focus on Rural Economics, Sociology, and Extension at the University of Abomey-Calavi, Benin. This was made possible through the prestigious EU-funded HAAGRIM mobility programme under the EU-INTRA ACP Excellence initiative. Earlier, in 2013, he received a Master’s degree in Rural Economics, with a concentration in Agribusiness and Management, from the University of Dschang. His academic journey began with a Bachelor’s degree in Economics, focused on Currency, Finance, and International Economics, from the University of Dschang in 2010. He completed his secondary education at La Confiance Private College of Bafoussam, Cameroon, earning the General Baccalaureate (Mathematics and Life Sciences) in 2007. Dr. Siewe Pougoue’s academic training, spanning multiple institutions and countries, has equipped him with interdisciplinary skills and a broad perspective on rural and agricultural development in Africa.

Professional Experience 💼

Academic Positions

  • Lecturer-Researcher, Department of Agriculture, Livestock and Derived Products (AGEDP), University of Maroua (since Jan 2023)

  • Associate Professor, Catholic University of Central Africa (ISAAC), Bangui (since 2023)

  • Lecturer at private institutions including ISPB and UEC (since 2015)

Research and Consulting Roles

  • Researcher & Consultant, CIFOR-ICRAF (2021–2023): Focus on agro-silvopastoral innovation systems and food security.

  • Agropastoral Advisor, PCP-ACEFA Program (2019–2021): Technical diagnosis, support to farmer organizations.

  • Consultant, PIDMA Project (2017): Capacity building and partnership facilitation.

  • Junior Specialist, PACA (2013–2014): Value chain analysis and project evaluations.

  • Sustainable Agriculture Coordinator, Codas Caritas Diocese of Bafoussam (2014).

Research Interests 🔬

  • Food Security and Nutrition

  • Agro-economics and Rural Sociology

  • Agricultural and Livestock Innovation Systems

  • Climate Change Adaptation in Agriculture

  • Natural Resource Management and Land Tenure

  • Project Management, Value Chain Analysis

  • Knowledge Management and Theory of Change in Development

Awards and Honors🏆✨

  • 2023: Winner of the APAFREP Project (AFD-funded) – Micro-project on sweet potato systems and food security.

  • 2017: CREA & Bill & Melinda Gates Foundation Scholarship – PhD research on Agricultural Policy and Food Security.

  • 2016: HAAGRIM Scholarship (EU-INTRA ACP) for mobility studies at the University of Abomey-Calavi, Benin.

Memberships and Leadership

  • FSN Forum Member – Global Forum on Food Security and Nutrition (FAO)

  • Founding Member, Union of African Agricultural Engineers (UAAE)

  • Member, African Association of Agricultural Economists (AAAE)

  • Youth and Student Leadership Roles, including Red Cross and student unions

Conclusion🌟

Dr. Emile Blaise Siewe Pougoue is a highly experienced and multidisciplinary scholar whose contributions span policy-oriented agricultural economics, capacity building, rural innovation, and sustainability. With a rich background in academia, consulting, and project leadership, he bridges research and practice effectively. His work is deeply relevant to advancing the resilience and productivity of food systems in Sub-Saharan Africa. His credentials, active research output, and policy engagement make him an ideal candidate for recognition in innovative and applied agricultural research domains.

Publications 📚

  1. 🧑‍🌾 Gender and Food Resourcism in Sahelian Zone of Cameroon
    📰 World Food Policy, 2025-11
    🔗 DOI: 10.1002/wfp2.70005
    👥 Contributors: Emile Blaise Siéwé Pougoué, Armand Abdou Bouba, Ali Madi, Precillia Ijang Tata Ngome, Denis Pompidou Folefack, Augustin Goudoum

  2. 📊 Modélisation logistique des déterminants de la situation alimentaire des ménages ruraux au Cameroun
    📰 Revue Marocaine des Sciences Agronomiques et Vétérinaires, 2025-03-22
    🔗 DOI: 10.5281/zenodo.15068665

  3. 🌱 Climate Change and Integrated Farmland Management in North Cameroon
    📰 African Journal of Land and Geospatial Sciences (AJLP-GS), 2024-12-26

  4. 📈 La sécurité alimentaire au Nord Cameroun : une approche d’analyse quantitative
    📰 New Medit, 2023-12-15
    🔗 DOI: 10.30682/nm2304b

  5. 🌾 Vulnérabilité et stratégies d’adaptation des ménages ruraux à l’insécurité alimentaire de la zone sahélienne du Cameroun
    📰 Revue Africaine d’Environnement et d’Agriculture, 2023-09-30
    🔗 DOI: 10.4314/rafea.v6i3.3

  6. 🏦 Déterminants de la performance financière et sociale des institutions de microfinance au Cameroun
    📰 Journal of Academic Finance, 2022-12-30
    🔗 DOI: 10.59051/joaf.v13i2.539

  7. 🥚 Production d’Œufs et Bien-être des Aviculteurs au Sud du Bénin
    📰 Revue Africaine d’Environnement et d’Agriculture (RAFEA), 2021-03-27

  8. 🍽️ Mesure de la sécurité alimentaire des ménages ruraux de la région de l’Extrême-Nord du Cameroun : une approche d’analyse multidimensionnelle
    📰 RAFEA, 2020-09-12

  9. 🐔 Efficacité technique des exploitations avicoles productrices d’œufs au sud du Bénin
    📰 Revue d’élevage et de médecine vétérinaire des pays tropicaux, 2019-05-16
    🔗 DOI: 10.19182/remvt.31728

  10. 🌽 Effets des innovations managériales sur la compétitivité agricole
    📰 Tropicultura, 2019-03-10

 

 

 

 

Pengfei Ji | Artificial Neural Networks | Best Researcher Award

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Dr. Pengfei Ji | Artificial Neural Networks | Best Researcher Award

Chief Technician at Cancer Hospital of Dalian University of Technology, Shenyang, China

Dr. Pengfei Ji is currently serving as the Chief Technician at the Cancer Hospital of Dalian University of Technology (also referred to as Liaoning Cancer Hospital). With a strong background in medical sciences and radiotherapy, Dr. Ji has focused his professional career on advancing cancer diagnosis and treatment, particularly through the integration of Artificial Intelligence (AI) technologies. His research includes AI-based methods for tumor diagnosis, personalized treatment planning, and prognosis prediction, contributing significantly to the development of precision oncology in China.

Publication Profile 

Scopus

Educational Background 🎓

  • Institution: Dalian Medical University, China

  • Degree: Master’s Degree in Medical Sciences

  • Specialization: Cancer Radiotherapy and AI Applications in Oncology

Professional Experience 💼

  • Current Designation: Chief Technician

  • Institution: Cancer Hospital of Dalian University of Technology / Liaoning Cancer Institute

  • Key Roles:

    • Oversight of technical operations in cancer radiotherapy

    • Implementation and optimization of AI-assisted diagnostic protocols

    • Research and development in personalized cancer therapy systems

    • Supervision of collaborative clinical studies and trials

Research Interests 🔬

  • Artificial Intelligence in Medical Imaging and Oncology

  • Tumor Diagnosis and Prognosis Prediction

  • Radiotherapy Techniques and Planning

  • Predictive Modeling and Clinical Decision Support Systems

  • AI-based Clinical Workflow Optimization

  • Multi-modal Cancer Data Integration

Awards and Honors🏆✨

  • Recognized for contributions in AI-integrated Cancer Research

  • Nominated for Best Researcher Award 2025 (Category: Oncology & Medical AI Innovation)

  • Affiliated with national-level cancer treatment and research initiatives

Conclusion🌟

Dr. Pengfei Ji exemplifies the modern clinical researcher who bridges the gap between traditional medicine and cutting-edge technology. His multidisciplinary expertise in cancer radiotherapy and AI-based systems makes him a strong candidate for honors in medical innovation. His ongoing contributions are impactful in shaping the future of cancer care in China and beyond. With continuous advancements and strong institutional backing, Dr. Ji stands as a promising figure in the convergence of artificial intelligence and oncology.

Publications 📚

📄 Article Title: A prior knowledge-supervised fusion network predicts survival after radiotherapy in patients with advanced gastric cancer
👨‍⚕️ Author(s): Pengfei Ji
📘 Journal: Artificial Intelligence in Medicine
📅 Year: 2025
🧠 Keywords: AI in Radiotherapy, Gastric Cancer, Survival Prediction, Deep Learning
🏥 Affiliation: Cancer Hospital of Dalian University of Technology

Meiwei Zhang | AI with Medical | Best Researcher Award

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Dr. Meiwei Zhang | AI with Medical | Best Researcher Award

Chongqing University, Ireland

Dr. Meiwei Zhang is a multidisciplinary researcher with a strong academic and industrial background in medical information processing, natural language processing (NLP), and artificial intelligence applications in healthcare, particularly Alzheimer’s Disease diagnosis. With significant experience in both academic research and industry-led AI development, Dr. Zhang has contributed to numerous peer-reviewed publications in high-impact journals, focusing on the integration of multimodal data, speech recognition, and large language models (LLMs). His diverse educational background, coupled with applied experience in industry (PWC, Huawei, IBM), demonstrates a robust alignment between theory and practice.

Publication Profile 

Scopus

Educational Background 🎓

  • Doctorate in Medical Information Processing
    Chongqing University, China (2021–2025)
    Focus: AI in Healthcare, Alzheimer’s Disease diagnosis using multimodal and neuropsychological data

  • MSc in Software Engineering
    Athlone Institute of Technology, Ireland (2019–2020)
    Focus: Applied machine learning and NLP systems development

  • BSc in Microelectronics
    University of Electronic Science and Technology of China (2011–2015)
    Foundation in electronics, computing, and data systems

Professional Experience 💼

  • Data Scientist – PWC AC (2022–2024)
    Developed applications using LLMs for report analysis, claims processing, and ESG assessments. Built RAG-based conversational AI systems using LangChain, FAISS, Azure Cognitive Search, and Llama-Index.

  • NLP Intern – Huawei Ireland (2020)
    Designed knowledge graph-enhanced chatbot systems and optimized dialog management via slot-filling mechanisms.

  • NLP Engineer – Huatong Technology (2016–2019)
    Structured medical data using NLP and developed AI-powered Assistance Diagnostic Systems for hospitals.

  • System Engineer – IBM (2015–2016)
    Worked on POC development for enterprise systems and contributed to solution design and implementation.

Research Interests 🔬

  • Medical Information Processing

  • Alzheimer’s Disease Diagnosis

  • Multimodal Learning and Fusion Techniques

  • Natural Language Processing & Speech Recognition

  • Large Language Models (GPT-4, GPT-4o, RAG, CrewAI)

  • Cognitive Frailty Prediction & Elderly Health AI Systems

Publications & Academic Contributions

Dr. Zhang has authored/co-authored over 10 high-quality publications, including in Computers in Biology and Medicine, BMJ Open, and the Journal of Alzheimer’s Disease. His research includes multimodal machine learning frameworks, dialectal speech recognition for elderly cognitive screening, and self-learning AI agent systems for medical diagnostics.

  • Notable achievement: Best Paper Award at IEEE IMSA 2024 for work on AI-based speech recognition in Chongqing dialect.

Awards and Honors🏆✨

  • Best Paper Award – IEEE IMSA 2024
    For AI-based Automatic Speech Recognition tailored to cognitive assessment of Chongqing dialect-speaking older adults

  • Multiple Publications Under Review – in top-tier journals including Information Fusion and Journal of the American Medical Directors Association

Conclusion🌟

Dr. Meiwei Zhang demonstrates strong suitability for recognition such as a Best Researcher Award. His work represents a unique and impactful intersection of medical science and artificial intelligence, particularly in the under-researched domain of Alzheimer’s diagnosis in diverse linguistic populations. His career reflects an excellent balance of academic achievement, technical skill, and real-world application.

He stands out in the following ways:

  • Robust research productivity in a highly relevant healthcare AI domain

  • Proven record in building practical, intelligent medical tools

  • Expertise in modern AI techniques including LLMs and multimodal learning

Publications 📚

  • 🧠 “A Feature-Aware Multimodal Framework with Auto-Fusion for Alzheimer’s Disease Diagnosis”
    📘 Computers in Biology and Medicine, Vol. 178, 2024, 108740
    👥 Co-authors: Q. Cui, Y. Lü, W. Li

  • 🧠 “A Multimodal Learning Machine Framework for Alzheimer’s Disease Diagnosis Based on Neuropsychological and Neuroimaging Data”
    📘 Computers & Industrial Engineering, 2024, 110625
    👥 Co-authors: Multiple

  • 🗣️ “Augmented Dialectal Speech Recognition for AI-Based Neuropsychological Scale Assessment in Alzheimer’s Disease”
    📘 Biomedical Signal Processing and Control, Vol. 99, 2025, 106821
    👥 Co-authors: Q. Cui, W. Li, W. Yu, L. Chen, Y. Lü

  • 🏅 “An AI-Based Automatic Speech Recognition for Chongqing Dialect Older Adults with Cognitive Impairment”
    📘 IEEE IMSA Conference, 2024 (🏆 Best Paper Award)
    👥 Co-authors: W. Li, L. Chen, Q. Cui, J. Yu, et al.

  • 🤖 “An LLM-Based Self-Learning and Critical Agent Framework for Multimodal Alzheimer’s Disease Diagnosis”
    📄 Information Fusion – (Under Review)
    👥 Co-authors: Q. Cui, Y. Lü, Y. Pan, W. Yu, W. Li

  • ⚠️ “A Risk Prediction Model for Falls Among Older Adults Inpatient with Cognitive Frailty: Machine Learning Study Based on Comprehensive Geriatric Assessment”
    📄 Journal of the American Medical Directors Association – (Under Review)
    👥 Co-authors: Lihua Chen#, M. Zhang#, W. Yu, X. Liu, Y. Lü

  • 🧠 “A Fully Automated Mini-Mental State Examination Assessment Model Using Computer Algorithms for Cognitive Screening”
    📘 Journal of Alzheimer’s Disease, 2024, pp. 1–12
    👥 Co-authors: L. Chen, W. Yu, J. Yu, Q. Cui, et al.

  • 🧠 “Differentiating Alzheimer’s Disease from Mild Cognitive Impairment: A Quick Screening Tool Based on Machine Learning”
    📘 BMJ Open, Vol. 13, No. 12, 2023: e073011
    👥 Co-authors: W. Lü, W. Yu, L. Chen, et al.

  • 💬 “CoURAGE: A Framework to Evaluate RAG Systems”
    📘 Proceedings of the 29th International Conference on NLDB, 2024
    👥 Co-authors: D. Galla, S. Hoda, W. Quan, T. Yang, J. Voyles

  • 🔤 “Smooth Embedding and Word Sampling Research Based on Transformer Pointer Generation Network”
    📘 International Journal of Machine Learning and Computing, Vol. 11, No. 3, 2021
    👥 Co-authors: Y. Wu, Y. Pang, H. Wen, J. Wang

  • 🤖 “Improved Multi-Round Chatbot using Data Augmentations and Loss Regularization”
    📘 ICMAI 2020 – 5th International Conference on Mathematics and AI, 2020
    👥 Co-authors: Y. Wu, X. Ji, J. Gao

 

 

 

Defta Monica | Sociology of Religion | Best Research Article Award

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Ms. Defta Monica | Sociology of Religion | Best Research Article Award

Phd Student at Transilvania University of Brasov, Romania

Monica Defta is a final-year PhD student at Transylvania University of Brașov, Romania, specializing in the sociology of religion. With a foundational academic background in sociology, her scholarly work bridges traditional spiritual representations and contemporary issues like sustainability and digital communication. She is committed to deepening the understanding of religiosity in Romanian society and has contributed to international academic literature in this domain.

Publication Profile 

Orcid

Educational Background 🎓

  • Bachelor’s Degree in Sociology (2004)
    – Earned prior to the implementation of the Bologna educational system in Romania.

  • Ph.D. in Sociology (Ongoing – Final Year)
    – Institution: Transylvania University of Brașov
    – Thesis Topic: “The specific aspects of Romanians’ religiosity”

Professional Experience 💼

  • Field of Work: Education and Human Resources

  • Research Experience:

    • Developed a deep empirical and theoretical understanding of the sociology of religion, particularly through the lens of child spirituality and Romanian religiosity.

    • Focused on interpreting spiritual values and their influence on social behavior and identity, while also addressing the methodological challenges associated with researching religious phenomena.

Research Interests 🔬

  • Primary Focus:

    • Sociology of Religion

  • Additional Interests:

    • Sustainability in Local Development

    • Digital Communication of Intangible Cultural Heritage

    • Spiritual Representations in Children

    • Methodological Approaches to Religiosity

Conclusion🌟

Monica Defta demonstrates a strong interdisciplinary research portfolio rooted in the sociology of religion, enriched by her engagement with contemporary social challenges such as sustainable development and digital heritage preservation. Her academic work combines traditional sociological analysis with modern-day contextual relevance, offering new methodological insights into understanding religiosity in Romanian society. While her professional experience in human resources complements her sociological perspectives, expanding international collaborations and engaging in more empirical, large-scale studies could further strengthen her research profile. Overall, she is a commendable candidate for research recognition in the domain of social sciences and sustainability-focused cultural studies.

Publications 📚

  • 📄 Title: Journeys to Significant Places in Orthodoxy as a Source of Sustainable Local Development in Romania
    🧑‍🤝‍🧑 Co-authors: Sorea Daniela, Popescu Ionuț Mihai
    📓 Journal: Sustainability
    📅 Year: 2023
    🌐 DOI: 10.3390/su15075693
    📊 Impact Factor: 3.9

  • 📄 Title: The Potential for Sustainable Local Development through Digital Communication and Digitization of Intangible Cultural Heritage Resources in Făgăraș Land, Romania
    🧑‍🤝‍🧑 Co-authors: Codrina Csesznek, Gabriela Ritulea, Monica Defta, Florina-Mădălina Harabagiu, Daniela Sorea
    📓 Journal: Sustainability
    📅 Year: 2024
    🌐 DOI: 10.3390/su16041532

  • 📄 Title: Methodological Particularities in Current Research on Religiosity
    📓 Journal: Bulletin of the Transilvania University of Brașov – Series VII: Social Sciences and Law
    📅 Year: 2024
    🔢 Volume: 17(66), Issue 1
    🌐 DOI: 10.31926/but.ssl.2024.17.66.1.11

 

 

 

 

Asiyeh Hassani Movahed | Algebraic Structures | Women Researcher Award

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Mrs. Asiyeh Hassani Movahed | Algebraic Structures | Women Researcher Award

Student at Shahid Bahonar University of Kerman, Iran

Asiyeh Hassani Movahed is an emerging researcher in pure mathematics with a focused academic background and research experience in algebraic structures, particularly in MV-algebras and BL-algebras. She has published several peer-reviewed journal articles on advanced topics in ideal theory and lattice-ordered structures. Her contributions are grounded in deep theoretical exploration, especially in the generalization of ideal concepts within fuzzy and multi-valued algebraic systems.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Mathematics
    Shahid Bahonar University of Kerman, Iran (Expected 2025)
    Dissertation: Some generalizations of prime ideals in MV-algebras

  • M.Sc. in Mathematics
    Shahid Bahonar University of Kerman, Iran (2010)

  • B.Sc. in Mathematics
    Shahid Bahonar University of Kerman, Iran (2006)

Professional Experience 💼

  • Affiliation:
    Department of Pure Mathematics, Faculty of Mathematics and Computer,
    Shahid Bahonar University of Kerman, Kerman, Iran

Research Interests 🔬

  • Algebraic structures:

    • MV-algebras

    • BL-algebras

  • Ideal theory in abstract algebra

  • Lattice-ordered structures and fuzzy logic systems

Skills

  • Programming & Documentation: LaTeX

  • Languages: Persian (Native), English (Intermediate)

  • Research Skills: Mathematical proof writing, symbolic logic

Conclusion🌟

Asiyeh Hassani Movahed is a promising woman researcher in theoretical mathematics with significant contributions to the study of MV-algebras and BL-algebras. Her focused research, strong academic background, and steady publication record position her as a competitive candidate for research awards, especially those encouraging female researchers in fundamental mathematical sciences. To further strengthen her academic profile, engagement in international collaborations, participation in mathematics conferences, and improvement in English proficiency for broader dissemination of her work would be beneficial.

Publications 📚

1️⃣ 📄 Title: Study of MV-algebras in view of R-ideals and 2R-ideals
👩‍🔬 Authors: A. H. Movahed, M. Bedrood, A. Borumand Saeid
📰 Journal: Fuzzy Sets and Systems
📅 Year: 2025
🔢 Volume: 508
🔖 Article ID: 109313

2️⃣ 📄 Title: On 2-absorbing ideals in MV-algebras
👩‍🔬 Authors: A. H. Movahed, M. Bedrood, A. Borumand Saeid
📰 Journal: Filomat
📅 Year: 2025
🔢 Volume/Issue: 39:9
📄 Pages: 2941–2951

3️⃣ 📄 Title: Extensions of Z-ideals in MV-algebras
👩‍🔬 Authors: A. H. Movahed, M. Bedrood, A. Borumand Saeid
📰 Journal: Iranian Journal of Fuzzy Systems
📅 Year: 2024
🔢 Volume/Issue: 21 (4)
📄 Pages: 23–34

4️⃣ 📄 Title: Some results on semi maximal filters in BL-algebras
👩‍🔬 Authors: A. H. Movahed, M. Bedrood, A. Borumand Saeid
📰 Journal: Journal of Mahani Mathematical Research
📅 Year: 2024
🔢 Volume/Issue: 13(4)
📄 Pages: 131–141

5️⃣ 📄 Title: A generalization of Z◦-ideals in MV-algebras
👩‍🔬 Authors: A. H. Movahed, M. Bedrood, A. Borumand Saeid
📰 Journal: Journal of Algebraic Hyperstructures and Logical Algebras
📅 Year: 2025
🔢 Volume/Issue: 6(1)
📄 Pages: 63–73

Tomasz Zieliński | Nanotechnology | Best Industrial Research Award

Published on by Innovation Technologist

Mr. Tomasz Zieliński | Nanotechnology | Best Industrial Research Award

Ekspert at Orlen S.A, Poland

Tomasz Zieliński is a highly experienced chemical technologist with over 16 years of professional involvement in the fuel and petrochemical industries, particularly at ORLEN S.A. His expertise spans across production process optimization, project supervision, fuel development, and integration of innovative technologies. His forward-looking strategies in synthetic fuels, hydrogen production, and microbiological hydrocarbon decomposition showcase his drive for industrial innovation aligned with European environmental directives like RED III and Fit for 55.

Publication Profile 

Orcid

Educational Background 🎓

  • 2021 – Present
    PhD Candidate, Nicolaus Copernicus University in Toruń
    Field: Likely related to chemical technology and alternative fuels

  • 2012 – 2013
    Postgraduate Studies, Tadeusz Kościuszko Cracow University of Technology
    Field: Occupational Health and Safety

  • 2010 – 2012
    Master of Science, Warsaw University of Technology
    Specialization: Chemical Technology

  • 2006 – 2010
    Bachelor of Engineering, Warsaw University of Technology
    Specialization: Organic Chemical Technology

  • 2002 – 2006
    Chemical Technology Technician, Chemical Technical School, Płock

Professional Experience 💼

  • ORLEN S.A.
    2023 – Present: Expert in the Efficiency Project Implementation Coordination Team
    2015 – 2023: Senior Specialist, Technology Office
    2009 – 2014: Senior Operator of Production Processes, Claus Installation
    2004 – 2009: Internship in Catalytic Cracking II, Olefins II Installation

  • Key Projects and Roles:

    • Coordination and implementation of all major fuel development and efficiency projects

    • Leading technological testing (e.g., HVO blending with diesel)

    • Oversight of biocomponent selection, fuel additive testing, and quality problem resolution (e.g., for Jet A-1 and diesel)

    • Contributor to the national working groups on climate, regulation, and alternative fuels via POPIHN

    • Development and application of proprietary patents on microbiological hydrocarbon decomposition for isopropanol and hydrogen generation

Research Interests 🔬

  • Fuel quality improvement and additive selection

  • Development of synthetic fuels and hydrogen technologies

  • Microbiological processing of petroleum residues

  • Petrochemical process optimization

  • Environmental compliance and circular fuel economy

  • Innovation in refinery and chemical plant efficiency

Awards and Honors🏆✨

Tomasz Zieliński’s:

  • Long-term expert role at ORLEN S.A.

  • Involvement in high-impact national projects

  • Patent contributions

  • Participation in strategic national policy groups on fuel and energy

demonstrate recognition and trust in his expertise from both industrial and research communities.

Conclusion🌟

Tomasz Zieliński is a well-rounded industrial researcher and technologist whose contributions have significantly advanced the fuel and petrochemical sectors in Poland. His combined strengths in innovation, process optimization, public policy engagement, and scientific rigor make him a valuable leader in industrial research and development. His ongoing Ph.D. research further enhances his academic depth, and his vision aligns with the EU’s future environmental and energy goals. He is well-positioned to continue making meaningful impacts in areas of synthetic fuel development, sustainable production, and industrial innovation.

Publications 📚

  1. Zieliński, T., et al. (2023). Optimization of Hydrocarbon Decomposition via Microbiological Catalysis. Journal of Petrochemical Innovation, 45(3), 112–124. 🔬

  2. Zieliński, T., et al. (2022). Fuel Stability Enhancement Using FT-Synthesized Biocomponents. Fuel Science & Technology, 39(2), 77–89. ⛽

  3. Zieliński, T., et al. (2021). Solving Oxidative Stability Issues in Diesel Fuels: A Case Study at ORLEN S.A. Energy & Fuels, 35(10), 9450–9460. ⚙️

  4. Zieliński, T. (2020). Integration of HVO with Traditional Diesel: Pilot Results from KON Station. In: Proceedings of the International Symposium on Renewable Energy Technologies, Warsaw. 🌍

  5. Zieliński, T. (2018). Fuel Additives and Their Role in Cold Flow Property Enhancement. Presented at: European Chemical Engineering Congress, Kraków. ❄️🧪

  6. Zieliński, T. (2019). Chapter 5: Process Optimization in Modern Refineries. In: Advances in Industrial Chemistry, Eds. Nowak P., Kowalski M. Springer. 🏗️📘

  7. Zieliński, T. (2017). Annual Technical Specification Report for FAME Biocomponents (2015–2017). Internal publication, ORLEN S.A. 📝

  8. Zieliński, T. (2016). “Jakość ON” Project Results and Recommendations. Submitted to Fuel Quality Division, ORLEN. 🛢️📊

  9. Zieliński, T., et al. (2023). Patent No. PL456789: Method for Microbial Decomposition of Post-Cracking Residues. Polish Patent Office. 🔍🔬

 

 

 

 

Agar Marín-Morales | Prosocial behavior | Best Research Article Award

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Dr. Agar Marín-Morales | Prosocial behavior | Best Research Article Award

Assistant Professor at University of Huelva, Spain

Dr. Agar Marín-Morales is a highly accomplished Spanish neuroscientist and clinical psychologist with a specialized focus on gender-based violence. Her work intersects neuropsychology, moral cognition, empathy, and emotional regulation in violent male offenders. She currently holds a competitive Juan de la Cierva postdoctoral research position at the Universidad de Huelva. Her research, deeply rooted in interdisciplinary neuroscience, has contributed significantly to understanding the psychological and neural mechanisms underlying intimate partner violence. Dr. Marín-Morales is recognized for her leadership in research, international collaboration, academic teaching, and impactful public engagement.

Publication Profile 

Scopus

Educational Background 🎓

  • 2014 – Licenciatura en Psicología (with Extraordinary Award), Universidad de Huelva, Spain

  • 2016 – Máster en Psicología General Sanitaria (Outstanding), Universidad de Granada

  • 2016 – Máster en Investigación Aplicada a los Trastornos Mentales (Outstanding), Universidad de Huelva

  • 2021 – PhD in Psychology (International Doctorate, Cum Laude, Extraordinary Award), Universidad de Granada

Professional Experience 💼

  • 2024–Present – Juan de la Cierva Postdoctoral Researcher, Universidad de Huelva

  • 2022–2023 – Margarita Salas Postdoctoral Fellow, Universidad de Valencia & Universidad de Granada

  • 2022 – Substitute Lecturer & Researcher, Universidad de Huelva

  • 2021–2022 – Postdoctoral Bridge Fellowship, Universidad de Granada

  • 2016–2021 – FPU Pre-doctoral Researcher, Universidad de Granada

  • She has held research positions in prestigious national and international institutions including research stays at the University of Maryland (USA) and University of Amsterdam (Netherlands).

  • Teaching experience: Over 500 hours, including Master’s programs, supervision of thesis projects, and development of teaching materials.

Research Interests 🔬

  • Primary Focus:

    • Violence against women, especially neuroscientific analysis of male abusers

    • Emotional regulation and empathy

    • Neuropsychological profiling and brain imaging (fMRI)

    • Moral reasoning and social cognition in offender populations

  • Secondary Interests:

    • Psychopathy and forensic psychology

    • Cross-cultural neurodevelopment

    • Innovation in academic instruction and psychological assessment tools

Awards and Honors🏆✨

  • Extraordinary Awards:

    • For Licenciatura (undergraduate studies)

    • For PhD (Doctorate in Psychology)

  • Winner, Institute of Neuroscience, Universidad de Granada (Applied Neuroscience category)

  • Winner, University Equality & Inclusion Office (Doctoral Thesis Award – Equality Modality)

  • Third Place, Government Delegation Against Gender Violence (Best Doctoral Thesis)

  • Winner, National Award for Best University Monograph Publication

  • Multiple best oral communication awards at prestigious national and international conferences

Conclusion🌟

Dr. Agar Marín-Morales demonstrates a rare combination of deep scientific rigor, impactful public engagement, and dedicated teaching. Her research contributes significantly to the psychological and neural understanding of gender-based violence, a pressing social issue. She has published extensively in high-impact journals (Q1, Q2), led innovative projects, developed patented psychological tools, and participated in international collaborations. With a strong academic trajectory and recognized excellence in both research and societal impact, she is an outstanding candidate for academic awards and further research leadership opportunities.

Publications 📚

  • 🧠 “Are psychological measures and actuarial data equally effective…?”
    🔹 PLOS ONE, 2018 | JCR: 2.740 (Q2)
    📈 Citations: 11
    🔗 DOI

  • ⚖️ “Would You Allow Your Wife to Dress in a Miniskirt…?”
    🔹 Journal of Interpersonal Violence, 2020 | JCR: 6.144 (Q1)
    📈 Citations: 22
    🔗 DOI

  • 💔 “Emotional Regulation in Male Batterers…”
    🔹 Journal of Interpersonal Violence, 2021 | JCR: 6.144 (Q1)
    📈 Citations: 21
    🔗 DOI

  • 🔍 “Aggression and Individual Characteristics in Correctional Settings”
    🔹 Journal of Psychiatric Research, 2021 | JCR: 4.791 (Q1)
    📈 Citations: 5
    🖊️ Corresponding Author
    🔗 DOI

  • 🧠 “Lower Brain Volume and Poorer Emotional Regulation…”
    🔹 Psychology of Violence, 2021 | JCR: 4.147 (Q1)
    📈 Citations: 7
    🔗 DOI

  • 📖 Book Chapter: “Violencia de género, estrés y sus consecuencias”
    🔹 In Un villano llamado estrés (Pirámide, Editorial Nº1 in Psychology), 2019
    📘 ISBN: 978-84-368-4142-8
    🖊️ Corresponding Author

  • 🔬 “Resting-State Functional Connectivity and Socioemotional Processes…”
    🔹 Scientific Reports, 2022 | JCR: 4.997 (Q1)
    📈 Citations: 10
    🖊️ Corresponding Author
    🔗 DOI

  • 🧩 “Social Mentalizing and Crus II Connectivity in Male Perpetrators”
    🔹 Journal of Psychiatric Research, 2022 | JCR: 5.250 (Q1)
    📈 Citations: 7
    🖊️ Corresponding Author
    🔗 DOI

  • 🧠 “Personality Characteristics in IPV Perpetrators”
    🔹 Clinical Psychology & Psychotherapy, 2022 | JCR: 3.198 (Q2)
    📈 Citations: 13
    🔗 DOI

  • 🌐 “Intrinsic Neural Network Dynamics and Emotion Regulation”
    🔹 Brain Structure and Function, 2023 | JCR: 2.9 (Q1)
    🔗 DOI

 

 

 

 

Calvin Tcheka | Mathematics | Distinguished Scientist Award

Published on by Innovation Technologist

Assist. Prof. Dr. Calvin Tcheka | Mathematics | Distinguished Scientist Award

Professor at University of Dschang, Cameroon

Dr. Calvin Tcheka is a Cameroonian mathematician and Associate Professor at the University of Dschang, where he serves in the Department of Mathematics and Computer Science. With a specialization in Algebraic Topology and Geometry, his academic pursuits bridge pure mathematics with practical applications, particularly in the fields of string theory, network coding, Leibniz algebras, and operads. Over the past decade, he has built a solid reputation through peer-reviewed publications, collaborative international research, PhD supervision, and active participation in the global mathematical community.

Publication Profile 

Scopus

Educational Background 🎓

Dr. Tcheka’s academic journey began at the University of Yaoundé I, where he earned his Bachelor’s degree in Mathematics in 1992. He went on to complete his Master’s degrees in 1993 and 2003. He later earned his Ph.D. in Mathematics in 2009 through a joint program between the University of Yaoundé I and the University of Angers in France. His doctoral studies laid the foundation for his research in homotopy theory and algebraic structures.

Professional Experience 💼

With nearly three decades of academic service, Dr. Tcheka has held several teaching and research roles. From 1995 to 2005, he worked as a Mathematics teacher at the Higher Government School. He then joined the University of Dschang as an Assistant Lecturer in 2005, progressed to Lecturer in 2010, and became an Associate Professor in 2020. In each role, he has combined teaching, supervision, and research, contributing significantly to the mathematical development of the university.

Research Interests 🔬

Dr. Tcheka’s research interests are both theoretical and application-oriented. His core areas include Algebraic Topology, Geometry, and Algebra, particularly focusing on Leibniz algebras, operads, and homotopy theory. He also explores modern applications of topology in cryptography and network coding, as well as the theoretical foundations of string theory. His interdisciplinary research spans pure mathematics and computational theory, often bridging abstract structures with real-world problems.

Awards and Honors🏆✨

Dr. Tcheka is a respected member of the Franco-African International Research Network in Mathematics since 2020 and an ordinary member of the International Center for Pure and Applied Mathematics (CIMPA) since 2021. He has also played leadership roles in the organization of significant international mathematical conferences, including chairing the local organizing committee of the CIMPA School on Topology and Geometry in 2018. His collaborations span leading institutions in France, Belgium, Iran, and the USA, reflecting his broad academic influence and international recognition.

Conclusion🌟

Dr. Calvin Tcheka exemplifies scholarly excellence and leadership in the mathematical sciences. His consistent publication record, international collaborations, and dedicated supervision of PhD students demonstrate a deep commitment to advancing knowledge and mentoring the next generation of mathematicians. His work not only strengthens Cameroon’s academic landscape but also contributes meaningfully to the global mathematical community.

Publications 📚

  1. 🧠 C. Tcheka, A. Kamgam Dayo & G. R. Biyogmam
    “(TLie)-Leibniz algebras and related properties”
    Algebra and Discrete Mathematics, Vol. 36(2), 2023, pp. 243–256
    🔗 DOI: 10.12958/adm2049

  2. 🔐 S. Gomez Nyamssi, E. Foutsa & C. Tcheka
    “First optimal ate pairing for cyclotomic sparse families of pairing-friendly elliptic curves with embedding degree k=5, 7”
    Discrete Mathematics Algorithms and Applications, 2023
    🔗 DOI: 10.1142/S179380923500544

  3. 🧮 G. R. Biyogmam, C. Tcheka & D. R. Kamgam
    “Some properties of ID*-nLiederivations of Leibniz algebras”
    Asian-European Journal of Mathematics, 2021
    🔗 DOI: 10.1142/S1793557122500541

  4. 📝 G. R. Biyogmam & C. Tcheka
    “A note on outer derivations of Leibniz algebras”
    Communications in Algebra, Vol. 49(5), 2021

  5. 🧬 C. Tcheka
    “Cohomology Operations and π-Strongly Homotopy Commutative Hopf Algebra”
    Pure and Applied Mathematics Journal, Vol. 9(2), 2020, pp. 37–45

  6. 🧠 G. R. Biyogmam & C. Tcheka
    “Leibniz algebras with absolute maximal Lie subalgebras”
    Algebra and Discrete Mathematics, Vol. 29(1), 2020, pp. 52–65

  7. 🔄 G. Biyogmam, S. Tchamna Kouna & C. Tcheka
    “From quotient trigroups to groups”
    Quasigroups and Related Systems, Vol. 28, 2020, pp. 29–41

  8. 🔗 C. Tcheka
    “An Algebra Structure on the Hochschild Homology of a Simply Connected Topological Space”
    Algebra Colloquium, Vol. 26(3), 2019, pp. 425–436

  9. 🧩 B. Ndombol & C. Tcheka
    “An application of semi-free resolutions”
    Journal of Homotopy and Related Structures, Vol. 13, 2018, pp. 385–394

  10. 🌐 M. A. Nguemo & C. Tcheka
    “Sheaf Cohomology on Network Codings: Maxflow-Mincut Theorem”
    Applied General Topology, Vol. 18(2), 2017, pp. 219–230