Ester Gilart Cantizano | AI in Healthcare | Best Researcher Award

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Prof. Dr. Ester Gilart Cantizano | AI in Healthcare | Best Researcher Award

Department of Nursing and Physiotherapy, University of Cadiz, Spain

Ester Gilart Cantizano is a dedicated academic and healthcare researcher whose work bridges innovative nursing education and applied clinical research. With a strong background in nursing sciences, she has developed a robust academic profile integrating research, teaching, and international collaboration. Her scholarly output reflects a commitment to advancing nursing knowledge and contributing to the mental health and professional well-being of healthcare providers. Ester’s active participation in international congresses and scientific publications has positioned her as a significant contributor to evidence-based nursing education and practice.

Profile

Scopus

Education

Ester began her academic journey with a Bachelor’s degree in Nursing in 2016, followed by a Master’s in Nursing Research and Advanced Professional Practice in 2018. She later earned two postgraduate expert qualifications—one in Surgical Anesthesiology for Nurses (2019) and another in Gynecological Nursing Care (2020). Currently, she is completing a PhD in Health Sciences, with a dissertation focused on the post-COVID-19 emotional impacts on nursing professionals, including the development and validation of a professional traumatic grief inventory. Her academic training is supplemented by more than 50 specialized courses that reflect her commitment to continuous education.

Experience

Professionally, Ester has cultivated a multifaceted career combining clinical practice, teaching, and research. Her clinical experience in both public and private hospitals has enriched her teaching approach, allowing her to merge practical skills with theoretical instruction. At the University of Cádiz, she has taught over 600 hours across subjects such as pharmacology, community nursing, occupational health, and bioethics. Her commitment to academic excellence extends to coordinating and evaluating undergraduate theses, conducting specialized training sessions, and implementing active learning strategies in university classrooms. She also served as a mentor for practicum courses and developed evaluation rubrics to assess communication skills.

Research Interest

Ester’s primary research interests include mental health in healthcare professionals, professional grief, nursing education methodologies, and diagnostic label validation. She is a key member of the research group “Present, Past, and Future of Nursing: Innovation, Teaching, and Development” at the University of Cádiz. Her research focuses on designing psychometric instruments and exploring psychological stressors such as unemployment syndrome and grief among nurses. Her current doctoral research investigates the psychological effects of COVID-19 on nurses, aiming to create tools that enhance mental well-being and workplace support structures.

Award

Her contributions to nursing education and mental health research have earned her national and international recognition. She has presented findings at over 20 scientific congresses, including the prestigious Sociedade Espanhola de Epidemiología and Associação Portuguesa de Epidemiologia. She also undertook a notable research stay at the University of Naples in 2024, where she studied the impact of the COVID-19 pandemic on hospital staff’s mental health. This international collaboration enriched her doctoral work and expanded her methodological toolkit for assessing psychological resilience and trauma.

Publication

  1. Healthcare, 2023 – “Identifying Hate Speech and Attribution of Responsibility” – cited by 2 articles.

  2. International Journal of Environmental Research and Public Health, 2022 – “Bereavement Needs Assessment in Nurses” – cited by 5 articles.

  3. International Journal of Nursing Knowledge, 2021 – “Psychometric Properties of Unemployment Syndrome Scale” – cited by 1 article.

  4. International Journal of Environmental Research and Public Health, 2021 – “Unemployment Syndrome During COVID-19” – cited by 9 articles.

  5. International Journal of Nursing Knowledge, 2019 – “Development of a Scale to Measure Unemployment Syndrome” – cited by 2 articles.

  6. Healthcare, 2021 – “When Nurses Become Patients” – cited by 8 articles.

  7. Nursing Reports, 2024 – “Predictive Model for Resilience in Family Caregivers” – recent publication, citations pending.

Conclusion

Ester Gilart Cantizano embodies the synthesis of practice, pedagogy, and research in modern nursing. Her academic journey, rich with advanced degrees and specialized training, reflects her drive to improve healthcare delivery and professional resilience. Through validated psychometric tools and innovative teaching methods, she has significantly influenced both her students and the broader healthcare community. Her leadership in traumatic grief research and her ongoing efforts in international collaboration highlight her as a prominent figure in the evolution of nursing science.

Gianluca Testa | Artificial Intelligence in Pediatric Orthopedics | Best Researcher Award

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Assoc. Prof. Dr. Gianluca Testa | Artificial Intelligence in Pediatric Orthopedics | Best Researcher Award

Associate Professor / Medical Director at University of Catania, Italy

Dr. Gianluca Testa is an accomplished academic and clinician, currently serving as an Associate Professor at the University of Catania. Since beginning his research career in January 2018, he has focused on advancing pediatric orthopaedics, neuromuscular disorders, geriatric frailty, and trauma care. His career reflects a balance between clinical practice and scholarly contribution, distinguished by extensive publications, editorial positions, and impactful international collaborations. Recognized for his excellence, Dr. Testa received the Best Young Researcher Award from the European Pediatric Orthopaedics Society (EPOS) in 2024. His work is marked by innovation in classification tools and survey methodologies in pediatric conditions.

Profile

ORCID

Education

Dr. Testa’s educational background supports his multidimensional research and clinical expertise. While specific degree details are not included in the provided document, his appointment as an Associate Professor by 2024 and continuous research involvement since 2018 confirm his advanced academic qualifications, likely including a medical degree and doctoral or postdoctoral specialization in orthopaedics. His career development reflects rigorous academic training in both theoretical and clinical aspects of musculoskeletal disorders.

Experience

With over seven years of formal research experience and current academic leadership, Dr. Testa has led or contributed to more than 110 research projects. He holds editorial roles at leading journals such as the World Journal of Orthopaedics and BMC Musculoskeletal Disorders, as well as guest editorial positions for Journal of Clinical Medicine and Children (MDPI). His consultancy and collaboration extend to elite medical institutions, including the Gaslini Hospital and the University of Genoa, where he works closely with Prof. Federico Canavese on pediatric orthopaedics. Additionally, he has authored chapters in two academic books and published 115 peer-reviewed journal articles, illustrating a deep commitment to both knowledge creation and dissemination.

Research Interests

Dr. Testa’s research agenda centers around pediatric orthopaedics, neuromuscular disorders, geriatric frailty, and trauma. His contributions in pediatric orthopaedics are particularly impactful, including the development of a novel classification tool for pediatric flatfoot and initiation of two significant international surveys on flatfoot and supracondylar humerus fractures in children. His ability to integrate clinical insights with methodological rigor exemplifies his value as both a scientist and a physician. Through his research, Dr. Testa aims to improve diagnostic accuracy, therapeutic protocols, and long-term outcomes in musculoskeletal health.

Awards

Dr. Testa’s scholarly and clinical excellence was recognized in 2024 when he received the Best Young Researcher Award from the European Pediatric Orthopaedics Society (EPOS). This honor underscores his innovative contributions and leadership in orthopaedic research. In addition to this award, he is actively seeking further recognition under the AI Data Scientist Awards for the categories of Best Researcher Award and Young Scientist Award.

Publications

  • The use of external fixation for the correction of recurrent clubfoot: a systematic review and meta-analysis

    • Authors: Vaccalluzzo M.S., Testa G., Sodano A., Caldaci A., Pavone V.

  • Anterior Cruciate Ligament Reconstruction with Modified Transtibial Technique: Outcomes and Return to Sport in Athletes

    • Authors: Russo A., Costa G.G., Musumeci M.A., Sapienza M., Pavone V.

    • Journal: Healthcare (Switzerland), 2025

  • Femoral Neck Fractures in Elderly Patients: Dual Mobility Cup Arthroplasty or Hemiarthroplasty? A Narrative Review of the Literature

    • Authors: Cicio C., Testa G., Salvo G., Pavone V., Sapienza M.

  • A Systematic Review Comparing Conservative and Surgical Approaches in the Management of Patellofemoral Instability

    • Authors: Pavone V., Perricone E., Pirrone G.S., Sapienza M., Testa G.

  • Comparison between unilateral and bilateral clubfoot treated with Ponseti method at walking age: static and dynamic assessment

    • Authors: Sapienza M., Testa G., Vescio A., Canavese F., Pavone V.

    • Journal: Journal of Pediatric Orthopaedics Part B, 2025

  • Pantalar Intact Dislocation: A Systematic Review

    • Authors: Dell’Agli E., Sapienza M., Castiglione M.D., Pavone V., Testa G.

  • Use of Hexapod External Fixation in Limb Lengthening in Patients with Disproportionate Short Stature: A Systematic Review of the Last 20 Years

    • Authors: Testa G., Marchetti M., Sapienza M., Condorelli G., Pavone V.

Conclusion

Dr. Gianluca Testa embodies the qualities of a distinguished clinician-scientist with an international footprint in pediatric orthopaedics and trauma care. His multidimensional career is defined by scientific rigor, impactful collaborations, and leadership within the research community. From pioneering survey-based research to editorial responsibilities and novel classification systems, his contributions elevate the standards of care and scientific inquiry in musculoskeletal medicine. With 1429 citations and growing, Dr. Testa continues to influence both present and future generations in orthopaedic research and clinical excellence.

Anna Bocchino | Nursing and AI | AI Breakthrough Award

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Prof. Dr. Anna Bocchino | Nursing and AI | AI Breakthrough Award

Professor at Salus Infirmorum Nursing University, Spain

Anna Bocchino is a dedicated academic and researcher in the fields of psychosocial sciences, transcultural health, and social psychology, with extensive involvement in both education and scientific inquiry. She is currently serving as a full-time faculty member at the Centro Universitario de Enfermería Salus Infirmorum, affiliated with the University of Cádiz. Her professional trajectory is marked by a consistent focus on culturally competent care, innovative pedagogy in nursing education, and the psychosocial dynamics of health. Her interdisciplinary approach bridges psychology, nursing, and social theory, making her a prominent contributor in both academic and clinical contexts.

Profile

ORCID

Education

Anna Bocchino holds a doctoral degree in psychology from the University of Naples, where her thesis explored cross-cultural competencies among nurses in Caserta and Seville. Her academic foundation is rooted in relational sciences, with an emphasis on integrating community psychology principles into healthcare settings. Over the years, her educational pursuits have been complemented by continuous professional development, focusing on gender studies, intercultural communication, and advanced clinical diagnostics within the nursing profession.

Experience

Bocchino has held teaching positions in multiple core subjects including “Ciencias Psicosociales Aplicadas”, “Transculturalidad, Género y Salud”, and “Habilidades de la Comunicación Intercultural.” These have been delivered through in-person modalities to undergraduate nursing students. In addition to teaching, she has coordinated several innovation projects at the University of Cádiz aimed at improving didactic strategies, such as integrating ICT in the classroom and utilizing gamification through educational tools like “Trivial NANDA.” Furthermore, her research and teaching excellence are demonstrated by her involvement in numerous funded projects focusing on curriculum development and student engagement.

Research Interests

Her primary research interests include transcultural health, the psychology of migration, burnout in healthcare settings, and the development of diagnostic tools in nursing. She has explored themes such as professional grief, cultural empathy, and the use of artificial intelligence in clinical decision-making. Bocchino’s work often incorporates content validation methodologies and psychometric analysis, reflecting her commitment to evidence-based practice. She is also interested in the pedagogical development of future nurses, with a special emphasis on fostering intercultural sensitivity and improving patient-provider communication.

Awards and Recognition

Throughout her career, Bocchino has received institutional recognition for her contributions to teaching innovation and academic research. She has led or co-led various projects funded under the University of Cádiz’s initiatives for improving academic performance and enhancing scientific dissemination. Her leadership in these initiatives has positioned her as a role model within the academic nursing community.

Publications

  • The Integration of AI into the Nursing Process: A Comparative Analysis of NANDA, NOC, and NIC-Based Care Plans

    • Journal: Nursing Reports

    • Date: 2025-05-27

    • DOI: 10.3390/nursrep15060186

    • Co-authors: Ester Gilart, Patricia Gilart-Cantizano, Eva Manuela Cotobal-Calvo, Isabel Lepiani-Diaz, Daniel Román-Sánchez, José Luis Palazón-Fernández

  • Risk Determinants of Sexual Behaviors: Dating Apps, History of Sexually Transmitted Infections, Substance Use, and Pornography Consumption in Health Science Students

    • Journal: Nursing Reports

    • Date: 2025-02-28

    • DOI: 10.3390/nursrep15030083

    • Co-authors: María Naranjo-Márquez, Ester Gilart, Eva Manuela Cotobal-Calvo, Fortuna Procentese, José Luis Palazón-Fernández

  • Self-Medication Practice and Associated Factors Among Health Professionals in Spain

    • Journal: Nursing Reports

    • Date: 2025-02-04

    • DOI: 10.3390/nursrep15020053

    • Co-authors: Eva Manuela Cotobal-Calvo, Concepción Mata-Pérez, Ester Gilart, Belén Gutiérrez-Baena, José Luis Palazón-Fernández

  • Content Validation of the Self-Medication Scale and Trust in Online Resources: Deepening Digital Access to Health

    • Journal: Nursing Reports

    • Date: 2024-07-31

    • DOI: 10.3390/nursrep14030141

    • Co-authors: Eva Manuela Cotobal Calvo, Concepción Mata-Pérez, Alberto Cruz-Barrientos, María Naranjo-Márquez, José Luis Palazón-Fernández

  • Identifying Hate Speech and Attribution of Responsibility: An Analysis of Simulated WhatsApp Conversations during the Pandemic

    • Journal: Healthcare

    • Date: 2023-05-26

    • DOI: 10.3390/healthcare11111564

    • Co-authors: José Luis Palazón-Fernández, Concepción Mata-Perez, Ester Gilart, Eva Manuela Cotobal Calvo, Alberto Cruz-Barrientos

  • Bereavement Needs Assessment in Nurses: Elaboration and Content Validation of a Professional Traumatic Grief Scale

    • Journal: International Journal of Environmental Research and Public Health

    • Date: 2022-03-03

    • DOI: 10.3390/ijerph19052968

    • Co-authors: Ester Gilart, Isabel Lepiani, María Dueñas, Maria José Cantizano Nuñez, Belen Gutierrez Baena

  • Psychometric Properties of Unemployment Syndrome Scale and Relevance to Clinical Practice

    • Journal: International Journal of Nursing Knowledge

    • Date: 2021-10

    • DOI: 10.1111/2047-3095.12316

    • Co-authors: Isabel Lepiani, Ester Gilart, Maria Jesus Medialdea, María Dueñas Rodriguez

Conclusion

Anna Bocchino exemplifies the modern academic committed to bridging scientific rigor with humanistic care in health education. Her contributions extend across teaching, research, and community engagement. Whether validating new diagnostic scales or exploring the socio-psychological dimensions of healthcare, she maintains a focus on quality, cultural respect, and empirical relevance. Her scholarly output and collaborative projects reveal a clear vision: advancing nursing through innovation, inclusion, and interdisciplinary synergy.

Ildephonse Habinshuti | Food Science and Technology | Best Researcher Award

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Dr. Ildephonse Habinshuti | Food Science and Technology | Best Researcher Award

Lecturer at University of Rwanda; College of Agriculture, Animal Sciences and Veterinary Medicine, Rwanda

Dr. Ildephonse Habinshuti is a distinguished academic and researcher in food science, currently serving as a lecturer and researcher at the University of Rwanda’s College of Agriculture, Animal Sciences and Veterinary Medicine. He specializes in food processing and technology, with a keen interest in food safety, systems transformation, and resilience. With an active presence in academia, policy advisory roles, and capacity building initiatives, Dr. Habinshuti has significantly contributed to both education and food standards development. His career embodies a commitment to innovation and inclusive agri-food systems, engaging across academia, government, and international platforms.

Profile

ORCID

Education

Dr. Habinshuti holds a Ph.D. in Food Science and Technology with a focus on Agro-products Processing and Utilization from the Chinese Academy of Agricultural Sciences. He earned a Master of Engineering in Food Science and Technology from Jiangnan University, China, and a Bachelor’s degree in Crop Sciences from the University of Rwanda. He has complemented his formal education with short-term professional training in areas such as food chemistry, postharvest technology, leadership in food systems, and manuscript review processes, which have enriched his research and pedagogical methodologies.

Experience

Since August 2023, Dr. Habinshuti has served as a lecturer at the University of Rwanda, where he teaches courses such as Food Engineering, Food Packaging, and Preservation Technologies. Previously, from April 2022 to July 2023, he was a lecturer and researcher at INES Ruhengeri, where he instructed students in Food Chemistry, Nutrition, and Postharvest Technologies. In addition to academic teaching, he has supervised numerous undergraduate dissertations and developed course curricula. His leadership extends to the Thought For Food Foundation as a Regional Coordinator for Central Africa, where he champions innovation and agri-food technology among youth.

Research Interests

Dr. Habinshuti’s research explores enzymatic hydrolysis, Maillard reaction products, antioxidant peptides, and food systems innovation. His investigations aim to improve nutritional profiles, sensory characteristics, and shelf life of food products. He has contributed to sustainable food processing methods using ultrasound and microwave-assisted enzymatic techniques. More recently, he has focused on food systems transformation, advocating for resilient supply chains, reduced postharvest losses, and the integration of youth and women into agricultural value chains.

Awards and Recognition

Dr. Habinshuti is a respected member of various national and international professional communities. He serves on editorial boards and technical committees for food standards at the Rwanda Standards Board (RSB), including roles such as chairperson of the technical committee on food additives and condiments. He is a board member of the Women in Agri-Business Week Advisory Board and a member of multiple scientific journals’ review boards, recognizing his authority in food science and research quality assurance.

Publications

  1. Habinshuti I. et al. (2023). “Recent and novel processing technologies coupled with enzymatic hydrolysis to enhance the production of antioxidant peptides from food proteins.” Food Chemistry, 423, 136313. [Cited by 3]

  2. Habinshuti I., Mu T., Zhang M. (2021). “Structural, antioxidant, aroma, and sensory characteristics of Maillard reaction products from sweet potato protein hydrolysates.” Food Chemistry, 361, 130090. [Cited by 11]

  3. Habinshuti I. et al. (2022). “Comparative study of antioxidant and flavour characteristics of Maillard reaction products from five types of protein hydrolysates.” Int. J. Food Sci. Tech., 57, 3652-3664. [Cited by 5]

  4. Habinshuti I. et al. (2021). “Effects of ultrasound-assisted enzymatic hydrolysis and monosaccharides…” Int. J. Food Sci. Tech., 56, 6086–6099. [Cited by 8]

  5. Habinshuti I. et al. (2020). “Ultrasound microwave-assisted enzymatic production…” Ultrasonics Sonochemistry, 69, 105262. [Cited by 15]

  6. Habinshuti I. et al. (2019). “Antimicrobial, antioxidant and sensory characteristics of MRPs…” LWT Food Sci. Tech., 101, 694–702. [Cited by 9]

  7. Mugiraneza J.P., Habinshuti I. et al. (2020). “Public Health Challenges in both Developing and Developed Countries.” North Am. Acad. Res., 3(3), 371–403. [Cited by 2]

Conclusion

Dr. Ildephonse Habinshuti exemplifies academic excellence, cross-sector collaboration, and dedicated research in food science and technology. His contributions span scholarly publications, student mentorship, technical consultancy, and food policy standardization. Through his integrated approach to education, research, and community empowerment, he has become a key figure in advancing food systems that are not only resilient and safe but also inclusive and innovative. As a thought leader and changemaker, his work continues to shape the future of food security and sustainability in Rwanda and beyond.

Zhihui Ding | Data Science in Marketing | Best Paper Award

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Assoc. Prof. Dr. Zhihui Ding | Data Science in Marketing | Best Paper Award

Associate Professor at the School of Business, Qingdao University of Technology, China

Zhihui Ding is an Associate Professor at the School of Business, Qingdao University of Technology, whose research advances the intersection of innovation management and digital transformation. With a solid academic foundation and considerable contributions to applied research, Ding has established himself in areas such as product innovation, business model innovation, and AI-enabled industrial upgrading. He has led several high-profile research projects funded by national and provincial agencies, including the Ministry of Education. In addition to publishing more than 20 scholarly articles and an academic monograph, he actively engages in interdisciplinary collaborations to address practical industrial challenges. His expertise and academic output position him as an influential voice in the business and innovation research community.

Profile

Scopus

Education

Zhihui Ding holds a PhD with a specialization in innovation management and organizational strategy. His academic training laid the groundwork for his research pursuits that focus on industrial transformation and technology-driven innovation. Throughout his educational journey, he has cultivated a deep understanding of both classical and contemporary business theories, with a special emphasis on strategic innovation models. His educational background complements his current role as a master’s supervisor, where he mentors graduate students in cutting-edge research areas, encouraging them to explore practical applications of theoretical frameworks in business and management.

Experience

With a current appointment as Associate Professor at Qingdao University of Technology, Ding has accumulated years of academic and applied experience. He is a leading researcher and educator in the School of Business, where he contributes to both curriculum development and academic research. His leadership has extended to the successful management of key research initiatives including a Humanities and Social Sciences Youth Fund project. He has also undertaken consultancy roles, such as participating in a city-level project supported by the Deputy Mayor of Qingdao that explored the integration of manufacturing with productive service industries. His academic and project-based experiences are synergistically aligned, fostering impactful contributions to both scholarship and society.

Research Interest

Zhihui Ding’s research interests lie in product innovation, innovation management, business model innovation, and artificial intelligence (AI)-enabled industrial transformation. He particularly focuses on how firms can integrate users into innovation processes, using game theory and strategy modeling to understand customer participation in innovation ecosystems. He introduced novel frameworks like the “user gatekeeper” concept to explain online innovation behaviors. His recent work addresses the transformative role of AI in industrial and educational sectors, especially regarding the development of new profit models and mass customization strategies. Ding’s research portfolio bridges theoretical rigor with applied relevance, contributing to academic advancement and real-world problem-solving.

Award

Zhihui Ding has earned recognition through numerous funded projects, particularly the Humanities and Social Sciences project under the Ministry of Education. His academic leadership has been pivotal in securing multiple grants at the provincial and municipal levels. Acknowledging his contributions, his research outcomes have been integrated into regional economic policy-making efforts, such as the Qingdao industrial development initiative. Additionally, he has been nominated for the Best Paper Award under the AI Data Scientist Awards, reflecting the academic community’s recognition of his influential and innovative publications in AI-driven research areas.

Publication

Zhihui Ding has published over 20 scholarly papers and an academic monograph. Below are selected works with their publication year.

  1. Ding, Z., Lu, Z., & Zhu, W. (2025) – Evolutionary Game Analysis of Knowledge Sharing in Enterprise Sponsored Virtual Communities Considering User Characteristics,

Conclusion

Zhihui Ding stands out as a thought leader at the nexus of business innovation, strategic transformation, and digital evolution. With a research trajectory marked by intellectual originality and practical applicability, he continues to make significant academic and societal contributions. His work blends theoretical exploration with real-world relevance, particularly in China’s evolving industrial landscape. Through sustained research efforts, collaborative projects, and impactful publications, Ding remains a central figure in shaping how businesses and educational institutions adapt to and benefit from innovation and AI technologies. His ongoing pursuits promise to advance both scholarly knowledge and practical solutions for a rapidly transforming world.

Nilay Bakoglu Malinowski | Breast Cancer | Best Researcher Award

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Dr. Nilay Bakoglu Malinowski | Breast Cancer | Best Researcher Award

Digital Pathology at Memorial Sloan Kettering, United States

Dr. Nilay Bakoglu Malinowski is an accomplished pathologist and medical researcher currently serving as an Attending Pathologist at Istanbul Medipol University, Faculty of Medicine, Department of Pathology. With a deep commitment to advancing pathology through both diagnostic precision and innovative research, Dr. Malinowski has consistently merged clinical practice with scientific inquiry. Her extensive training and global collaborations reflect her strong dedication to the evolving landscape of digital pathology and artificial intelligence (AI)-based diagnostic tools. Her contributions span academic, clinical, and technological domains of modern pathology.

Profile

Orcid

Education

Dr. Malinowski earned her Medical Doctor degree from Abant Izzet Baysal University, Faculty of Medicine in 2012. She pursued specialization in pathology through a residency at Karadeniz Technical University from 2013 to 2017, later serving as Chief Resident until early 2018. This foundational training provided her with rigorous exposure to histopathological techniques, complex case evaluations, and teaching roles. Her educational journey also included collaborative training and academic engagements in the United States, enhancing her proficiency in cutting-edge technologies in pathology, including digital image analysis and molecular diagnostics.

Experience

Her professional trajectory began as a General Practitioner in Erzurum before fully transitioning into pathology. Dr. Malinowski has held numerous Attending Pathologist positions at institutions such as Ömer Halisdemir University, Namık Kemal University, and Tekirdag Public Hospital. From 2022 to 2024, she was a Senior Research Scientist at the prestigious Memorial Sloan Kettering Cancer Center (MSKCC) in New York, working in the Department of Pathology and Laboratory Medicine under Dr. Yukako Yagi’s supervision. During her time at MSKCC, she engaged in high-impact research involving AI integration in digital pathology, enhancing diagnostic workflows. In 2024, she returned to Turkey to continue her clinical and academic contributions at Istanbul Medipol University.

Research Interest

Dr. Malinowski’s research interests are deeply rooted in the integration of artificial intelligence with histopathological analysis. Her projects have explored automated HER2 ISH and IHC assessments using whole slide imaging in various cancers, including breast, gastric, and gynecologic malignancies. She has also investigated micro-computed tomography (micro-CT) for tissue morphometry and diagnosis. A notable aspect of her research includes semi-automated and cloud-based solutions for digital pathology, aiming to standardize and accelerate histological interpretation. Her work emphasizes improving diagnostic reproducibility, training efficiency, and therapeutic precision through digital innovations.

Award

Dr. Malinowski has received several notable accolades for her work. She was awarded Travel Awards by the European Congress of Pathology in both 2016 and 2017, recognizing her outstanding contributions as an early-career pathologist. In 2023, she received a Travel Award from the Pathology Informatics Summit, highlighting her role in AI-based pathology innovations. These honors not only reflect her scientific merit but also her commitment to contributing to global discussions on digital pathology.

Publication

Dr. Malinowski has co-authored several peer-reviewed articles and conference proceedings showcasing her research. Noteworthy among these are:

  1. “Artificial Intelligence (AI)-Based Automated Determination in Pathology Using Cloud-Based Platform,” published in Pathology and Oncology Research (2024), focusing on AI applications in diagnostic pathology.

  2. “Semi-Automated Analysis of HER2 Immunohistochemistry in Invasive Breast Carcinoma using Whole Slide Images,” published in Pathology and Oncology Research (2024), which highlighted the utility of AI for HER2 scoring.

  3. “Micro-Computed Tomography Whole-Block Imaging Reveals Origin and Path of Rectal Cancer Tumor Deposits,” published in Diagnostics (2024), offering insights into tumor mapping using micro-CT.

  4. “Histopathology of Cancer” chapter in Molecular Immunology and Biology of Cancer (2020), discussing foundational cancer diagnostics.

  5. “Clearing Barriers to the Application of Artificial Intelligence in Hematopathology” in Acute Myeloid Leukemia: Diagnosis, Prognosis, Treatment and Outcomes (2023), co-authored with Yukako Yagi, addressing challenges in AI deployment.

  6. A conference presentation titled “Optimization of the Scanning Protocols for AI-Integrated Automated CISH Assessment,” presented at the USCAP 2023.

  7. “Evaluation of AI-Integrated HER2 Dual ISH Detection Systems in Invasive Breast Carcinoma,” presented at USCAP 2024.
    These publications have been cited in digital pathology and computational diagnostics literature, underlining their relevance to current translational pathology efforts.

Conclusion

Dr. Nilay Bakoglu Malinowski exemplifies the modern physician-scientist, bridging clinical expertise and digital innovation. Her work not only advances diagnostic accuracy but also enables scalable, reproducible models for global pathology practices. With a career marked by cross-disciplinary collaboration, scientific curiosity, and a vision for the future of medicine, she continues to contribute significantly to both national and international academic platforms. Her trajectory serves as a model for integrating AI into medical diagnostics, ensuring that pathology remains at the forefront of precision medicine.

Hao He | Data Science in Marketing | Best Researcher Award

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Dr. Hao He | Data Science in Marketing | Best Researcher Award

Ph.D Candidate at Harbin University of Commerce, China

Hao He is a Ph.D. candidate at the School of Management, Harbin University of Commerce, China. His academic trajectory is deeply rooted in the intersection of technology and human behavior, specifically focusing on the dynamic field of Human-AI Interaction. As a rising scholar, Hao He has built a solid foundation in interdisciplinary research that bridges digital marketing, tourism management, and decision sciences. His contributions offer meaningful insights into how emerging technologies, such as artificial intelligence and big data analytics, are reshaping consumer behavior, organizational decision-making, and the broader socio-economic landscape.

Profile

Google Scholar

Education

Hao He is currently pursuing his doctoral studies at Harbin University of Commerce, where he is enrolled in the School of Management. His academic training is characterized by a rigorous curriculum emphasizing analytical modeling, data science, and behavioral theories. Throughout his doctoral program, Hao He has developed expertise in both quantitative and qualitative research methodologies, enabling him to address complex, real-world problems in a methodologically sound manner. His academic focus is highly multidisciplinary, integrating theories from information systems, marketing, management science, and artificial intelligence to explore innovative solutions in contemporary business and technological contexts.

Experience

As a doctoral researcher, Hao He has engaged in multiple research projects addressing real-time and large-scale decision-making challenges in both industrial and academic environments. He has collaborated with peers and senior researchers in China and internationally, contributing to the development of robust models and frameworks for analyzing human interaction with AI technologies. His involvement extends to publishing scholarly articles, presenting at international conferences, and conducting advanced empirical studies using multi-modal data. Hao He’s academic career is further marked by his active participation in research committees and peer review panels, where he evaluates emerging work in digital transformation, AI ethics, and human-computer interaction.

Research Interest

Hao He’s primary research interests include Human-AI Interaction, Digital Marketing, Multi-Modal Big-Data Analysis, Tourism Management, and Large-Scale Group Decision-Making. His research explores the sociotechnical implications of intelligent systems and their role in shaping user experiences across various industries, especially tourism and e-commerce. He is particularly interested in how anthropomorphic features in AI systems influence user trust and emotional engagement, and how data analytics can uncover hidden consumer patterns. His approach combines machine learning, social network analysis, and behavioral science to generate practical insights for both academics and practitioners.

Award

Although still in the early stage of his academic career, Hao He has already gained recognition in the research community through several high-impact publications and conference presentations. His scholarly work has been accepted in top-tier journals such as Technological Forecasting & Social Change, Energy Economics, and Frontiers in Psychology. These achievements reflect his academic rigor and innovative thinking, which have positioned him as a promising scholar in the domains of management and information science.

Publication

Hao He has authored multiple research articles published in reputable international journals. Seven notable publications include:

  1. “What Is the Focus of Energy Supply Chain Relationship Management During Geopolitical Risks?” (Energy Economics, 2025, In-press), examines transaction cost economics in the context of global supply chain volatility.

  2. “Warmth trumps competence? Uncovering the influence of multimodal AI anthropomorphic interaction experience on intelligent service evaluation” (Technological Forecasting & Social Change, 2024), which explores how AI design elements affect consumer perceptions.

  3. “Exploring thematic influences on theme park visitors’ satisfaction” (Journal of Consumer Behaviour, 2023), provides empirical evidence on customer experience at Disneyland China.

  4. “Exploring the Over-Time Variation in Customer Concerns on Sharing Economy Services” (Journal of Global Information Management, 2023), analyzes user-generated content to track changing consumer priorities.

  5. “A Large-Scale Group Decision-Making Model Considering Expert Authority Degree and Relationship Evolution” (Group Decision & Negotiation, 2024), presents a novel model for collective decision-making in networked systems.

  6. “Engaging Tourists from City Aesthetics” (Asia Pacific Journal of Marketing and Logistics, 2025, In-press), utilizes computer vision and text mining to assess how urban design impacts tourism engagement.

  7. “Research on Government Subsidy Strategies for Power Batteries of New Energy Vehicles” (Humanities and Social Sciences Communications, 2025, In-press), investigates policy mechanisms influencing R&D and recycling strategies. These papers are widely cited in the domains of AI-driven analytics and behavioral science, reflecting their relevance and impact.

Conclusion

Hao He stands at the forefront of a new generation of interdisciplinary researchers who are redefining how we understand and design AI systems for human-centric applications. His work has already begun to shape discussions around trust, satisfaction, and efficiency in technologically mediated environments. Through his dedication to empirical rigor and theoretical innovation, Hao He continues to contribute meaningfully to academia and industry alike. As he progresses in his doctoral journey, his future research is poised to further influence policy, practice, and innovation in the ever-evolving interface between humans and intelligent systems.

Ali Shanaghi | Biomaterials and Materials Engineering | Best Researcher Award

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Assoc. Prof. Dr. Ali Shanaghi | Biomaterials and Materials Engineering | Best Researcher Award

Associate Professor at Malayer University, Iran

Dr. Ali Shanaghi is an esteemed Associate Professor in the Department of Materials Engineering at Malayer University, Iran. With a prolific academic and research trajectory, he has significantly contributed to the fields of corrosion engineering, nanostructured coatings, and surface modifications. Renowned for his dedication to advancing material performance through nanotechnology, his research outcomes have had a meaningful impact on both industrial applications and scientific understanding. Dr. Shanaghi holds multiple editorial and leadership roles in academic settings and has been consistently recognized as a top researcher in his field.

Profile

Scholar

Education

Dr. Shanaghi completed his Ph.D. in Materials Engineering (Corrosion Engineering) at Tarbiat Modares University, Tehran, in 2011. His doctoral research focused on the deposition of TiC nanostructured thin films via Plasma CVD and their tribological and corrosion behavior. He earned his M.Sc. from the same university in 2007, exploring TiO₂ nanoparticle coatings on stainless steel using the sol-gel method. His academic journey began with a B.Sc. in Metallurgy and Materials Engineering from Semnan University in 2005. Throughout his studies, Dr. Shanaghi consistently ranked among the top of his class.

Experience

Dr. Shanaghi began his academic career as an Assistant Professor at Malayer University in 2012, rising to Associate Professor in 2017. Over the years, he has served in numerous academic leadership roles, including Head of the Department of Materials Engineering. He has also chaired national conferences, contributed to editorial boards, and guided numerous graduate students. As a longstanding member of the Iranian Corrosion Association, Dr. Shanaghi has helped shape national standards in corrosion science and materials protection.

Research Interests

Dr. Shanaghi’s research interests are centered on the design and evaluation of nanostructured coatings, corrosion and surface engineering, plasma surface processing, and sol-gel technologies. He is particularly interested in self-healing coatings and biomaterials, aiming to enhance their mechanical and electrochemical performance. His multidisciplinary approach integrates material science with practical applications in aerospace, biomedical, and industrial infrastructure.

Awards

Dr. Shanaghi has received numerous accolades for his academic and research excellence. He ranked first in the Ph.D. entrance exam at Tarbiat Modares University and was the top student during his M.Sc. program. He was recognized as the top researcher in the Faculty of Engineering in 2013 and subsequently honored as the top researcher of the Materials Engineering Department every year from 2017 to 2022. In 2022, he was awarded as the top professor for university-industry collaboration by Iran’s Ministry of Science, Research, and Technology.

Publications

Dr. Shanaghi has authored over 50 peer-reviewed journal articles. Below are selected seven notable publications:

  1. TiC/Ti coatings fabricated on NiTi by plasma immersion ion implantation, Vacuum (2013), cited by 250+ articles.

  2. Corrosion resistance of Ti/TiC coatings on NiTi, Surface and Coatings Technology (2013), cited by 300+ articles.

  3. Corrosion resistance of mild steel using TiO₂ coatings, Journal of Nanoengineering and Nanosystems (2013), cited by 150+ articles.

  4. Tribological and Corrosion Properties of Ni/TiC Bilayered Coatings, Journal of Materials Engineering and Performance (2016), cited by 200+ articles.

  5. Corrosion behavior of nanostructured Ti/TiN multilayers, Surface and Coatings Technology (2017), cited by 175+ articles.

  6. Electrochemical behavior of zirconia-benzotriazole nanocoatings, Journal of Alloys and Compounds (2018), cited by 180+ articles.

  7. Advanced Hydroxyapatite-DLC coatings for NiTi biomedical alloys, Ceramics International (In Press, 2025), emerging citations.

Conclusion

Dr. Ali Shanaghi’s career reflects a remarkable fusion of deep theoretical understanding and practical application in materials engineering. Through continuous research, innovation, and leadership, he has advanced the frontiers of corrosion protection, nanotechnology, and biocompatible materials. His dedication to academia, industry collaboration, and student mentorship further elevates his influence, making him a distinguished contributor to the global scientific community.

Janusz Kacprzyk | cryptography | Best Researcher Award

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Prof. Janusz Kacprzyk | cryptography | Best Researcher Award

Professor, Head of Department Systems Research Institute, Polish Academy of Sciences, Poland

Professor Janusz Kacprzyk is an internationally acclaimed academician and researcher recognized for his groundbreaking contributions to the field of computational intelligence, particularly in fuzzy systems and soft computing. A full professor and fellow of multiple prestigious institutions including IEEE, IET, EurAI, IFSA, and AAIA, he holds positions across a multitude of universities and research bodies globally. As a full member of the Polish Academy of Sciences, his career spans over five decades and has been marked by a sustained commitment to advancing systems analysis, artificial intelligence, and decision-making under uncertainty. His influence in shaping modern fuzzy logic and its applications has been recognized with numerous honorary degrees, awards, and fellowships.

Profile

Orcid

Education

Professor Kacprzyk’s academic foundation was built at the Warsaw University of Technology where he obtained his M.S. in computer science and automatic control in 1970. He further earned his Ph.D. summa cum laude in systems analysis from the Systems Research Institute of the Polish Academy of Sciences in 1977. He achieved his habilitation (D.Sc.) in computer science in 1990, and in 1997, he was appointed as Full Professor by the President of the Republic of Poland, solidifying his stature as a leader in his domain.

Experience

Professor Kacprzyk has held long-term and visiting academic roles in top institutions worldwide. He has been a professor at the Systems Research Institute of the Polish Academy of Sciences since 1970, and has also served in professorial roles at the Warsaw School of Applied Information Technology and Management, Industrial Research Institute of Automation and Measurements, AGH University in Cracow, and institutions in China. Internationally, he has been a visiting professor or scientist in the USA, UK, Japan, Mexico, and Italy. His leadership includes directorship roles and heading doctoral studies, demonstrating both academic and administrative excellence. He also held strategic roles such as Chair of the IEEE CIS Award Committee and member of various IEEE boards and international scientific committees.

Research Interests

His core research interests lie in systems analysis, fuzzy logic, computational intelligence, decision-making under uncertainty, and soft computing. He is a recognized pioneer in fuzzy dynamic programming and multistage fuzzy control. His work bridges theoretical models with practical applications in economics, management, robotics, and artificial intelligence. Professor Kacprzyk has also significantly contributed to the development of consensus models, fuzzy databases, and intuitionistic fuzzy sets, fostering interdisciplinary research across computer science, operations research, and cognitive sciences.

Awards

Professor Kacprzyk’s contributions have earned him a wide array of accolades. These include the Enrique Ruspini Award (2023), Medal of the President of Taiwan (2019), HAFSA Award (2017), INNS India Chapter Award (2016), ECSC Medal (2015), and IFSA Lifetime Achievement Award (2013). He also received the Pioneer Award from IEEE CIS in 2006 and 2007 for his groundbreaking work in fuzzy systems and computing with words. Further honors include multiple honorary doctorates from leading universities in Hungary, Bulgaria, Finland, Ukraine, and Poland. His inclusion in Stanford University’s Top 2% Scientists from 2020–2024 affirms his lasting global impact.

Publications

Professor Kacprzyk has authored over 700 publications, including books, journal articles, and edited volumes. Some of his notable publications include:

  • Multistage Decision Making under Fuzziness, Verlag TÜV Rheinland, 1983.

  • Fuzzy Sets in Systems Analysis, PWN, 1986.

  • Multistage Fuzzy Control, Wiley, 1997.

  • Flows in Networks Under Fuzzy Conditions, Springer, 2017.

  • Fuzzy Transportation and Transshipment Problems, Springer, 2020.

  • Reverse Clustering – Formulation, Interpretation and Case Studies, Springer, 2021.

  • Granular, Fuzzy, and Soft Computing, Springer, 2023.
    These works have been collectively cited over 38,500 times on Google Scholar, with an h-index of 83, reflecting exceptional academic influence.

Conclusion

Professor Janusz Kacprzyk stands as a luminary in the realms of fuzzy logic, systems science, and soft computing. With an extraordinary academic legacy characterized by innovation, interdisciplinary breadth, and global engagement, he continues to inspire generations of researchers and students. His unmatched contributions to theoretical frameworks and their practical deployments in artificial intelligence and decision support systems position him as a cornerstone of modern computational intelligence. Through his prolific scholarship, influential leadership, and enduring commitment to excellence, Professor Kacprzyk exemplifies the ideals of scholarly distinction and international cooperation.

Md. Kamrul Islam | Transportation Engineering and Planning | Best Researcher Award

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Assoc. Prof. Dr. Md. Kamrul Islam | Transportation Engineering and Planning | Best Researcher Award

Associate Professor at King Faisal University, Saudi Arabia

Md. Kamrul Islam is an accomplished academic and transportation engineer specializing in public transit systems, sustainable pavement technologies, and transportation safety analytics. Currently an Associate Professor at King Faisal University (KFU) in Saudi Arabia, he is actively engaged in collaborative international research and multidisciplinary projects addressing key challenges in civil and environmental engineering. With over two decades of academic, consultancy, and research experience, Dr. Islam has contributed significantly to transportation planning, traffic safety, and infrastructure development across Asia, Australia, and the Middle East.

Profile

Orcid

Education

Dr. Islam received his PhD in Transportation Engineering from the University of New South Wales, Australia, in 2014. His doctoral dissertation focused on stochastic modeling to evaluate the impacts of headway variability on public transit systems, providing a foundation for his expertise in computational and analytical modeling. He completed his Master’s in Engineering with a major in Transportation Planning at the University of Tokyo, Japan, in 2006. There, he developed transport network simulations for Japanese cities and explored regional systems through data analysis. His undergraduate degree in Civil Engineering was earned at Dhaka University of Engineering and Technology (DUET), Bangladesh, in 2002, and later assessed by Engineers Australia for recognition as a professional engineer.

Experience

Professionally, Dr. Islam has built an extensive and diverse career. He joined King Faisal University in 2015 as an Assistant Professor and was promoted to Associate Professor in 2024. At KFU, he leads several research projects under the Saudi Aramco Chair on Asphalt Pavement and has been instrumental in establishing international collaborations with prominent institutions such as the University of Illinois, Texas A&M University, and the University of Texas at Austin. His work focuses on sulfur-extended asphalt, pavement life-cycle assessments, and material performance. Prior to his role at KFU, he served as an Assistant Professor and Lecturer at DUET, where he taught and supervised students in transportation and civil engineering disciplines. He also worked as a consultant at Pacific Consultant International in Japan, and briefly held a governmental position in Bangladesh overseeing infrastructure development for disaster-prone regions.

Research Interest

Dr. Islam’s research spans multiple facets of transportation and civil engineering. His interests include transit reliability modeling, traffic safety analysis using machine learning, sustainable road materials, and climate-resilient infrastructure planning. His recent work integrates deep learning techniques to analyze pedestrian and vehicular crash data, optimizes road safety strategies, and evaluates environmental risks associated with pavement and urban development. Additionally, he has contributed to flood and drought vulnerability studies, public health assessments related to traffic noise, and simulation-based urban planning.

Awards

Dr. Islam has been recognized for his academic excellence throughout his career. He received the prestigious “Furuichi Kimitake Prize” from the University of Tokyo in 2006 for exceptional academic performance and the “Institute Gold Medal” from DUET in 2002 in recognition of his undergraduate achievements. His ability to secure more than 50 research grants through the Deanship of Scientific Research at KFU reflects his commitment to high-impact academic inquiry and innovation.

Publications

Dr. Islam has authored over 70 peer-reviewed articles in leading journals.

  • Rehman, Z. U., Chaozhe, J., Jamal, A., Almarhabi, Y., Wang, C., Alam, E., & Md Kamrul Islam. (2025). Unveiling pedestrian injury severity risk factors: A comparative analysis of machine learning and deep learning methods. Transportation Engineering, 2025, 100352. https://doi.org/10.1016/j.treng.2025.100352

  • Alfawzan, M. S., Jamal, A., Md Kamrul Islam, Minhas, K. S., & Aftab, A. (2025). Advancing urban mobility: A microsimulation-based approach for assessing the impact of intersection improvement strategies in Qatif, Saudi Arabia. ZKG International. https://doi.org/10.63386/617359

  • Rahman, M. M., Shobuj, I. A., Santo, M. M. H., Ali, H. M., Hossain, M. T., Alam, E., & Md Kamrul Islam. (2025). Knowledge, attitude, and practices towards lightning among vulnerable group: A case study on Agri farmers and fishermen. Sustainable Environment, 11(1), 2464373. Taylor & Francis.

  • Islam, A. R. M. T., Mia, M. U., Nova, N. A., Chakrabortty, R., Khan, M. S. I., Ghose, B., Pal, S. C., Bari, A. B. M., Alam, E., & Md Kamrul Islam. (2025). Enhancing flood susceptibility mapping in Meghna River basin by introducing ensemble Naive Bayes with stacking algorithms. Geomatics, Natural Hazards and Risk, 16(1), 2464049. Taylor & Francis.

  • Das, B. C., Islam, A., Mahammad, S., Alam, E., Islam, A. R. M. T., Sarkar, B., Barman, S. D., Pal, S. C., & Md Kamrul Islam. (2025). Examining the complexity of discharge-suspended sediment behaviour of a tropical monsoon-dominated river, India. Journal of Hydrology: Regional Studies, 59, 102335. Elsevier.

  • Mukherjee, S., Alam, E., Mondal, M., Haldar, S., Bhattacharya, S., Md Kamrul Islam, & Paul, S. (2025). Long term and short term spatio‐temporal characterisation of rainfall variability and dynamicity over the westernmost part of West Bengal, India using modified Mann‐Kendall test and innovative trend analysis. Geological Journal, 60(5), 1065–1092. John Wiley & Sons, Inc.

  • Magalingam, S., Radhakrishnan, S., Karuppannan, S., Alam, E., & Md Kamrul Islam. (2025). Demarcating paleoflood repositories using documentary evidence and flood geomorphic landforms. Quaternary Science Advances, 18, 100281. Elsevier.

  • Saha, A., Pal, S. C., Islam, A., Islam, A. R. M. T., Pande, C. B., Alam, E., & Md Kamrul Islam. (2025). Climate change induced extreme meteorological conditions over sub-tropical environment: Pathways towards achieving Sustainable Development Goals (SDGs). Discover Sustainability, 6(1), 317. Springer International Publishing.

Conclusion

Md. Kamrul Islam represents a dynamic and highly productive figure in transportation engineering. His work continues to impact public safety, infrastructure sustainability, and environmental resilience across regions. Through his leadership in international collaborations, multidisciplinary research, and mentoring of young engineers, Dr. Islam remains a key contributor to the advancement of civil and transportation engineering on a global scale. His dedication to academic excellence and applied innovation ensures that his contributions will continue to address pressing societal challenges in transportation and urban systems.