Lingyu Ai | Optoelectronic Information | Best Researcher Award

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Prof. Lingyu Ai | Optoelectronic Information | Best Researcher Award

Associate Professor at Jiangnan university, China

Lingyu Ai is an Associate Professor at Jiangnan University with deep expertise in 3D imaging and display technologies. Her work has significantly contributed to advancing large-scale naked-eye 3D display systems and interdisciplinary applications in AR/VR and biomedical imaging. She is a committee member of the 3D Imaging and Display Professional Committee and has been widely recognized for her leadership in engineering innovation. Her academic path and project achievements reflect a strong commitment to applying engineering solutions to real-world visualization challenges, earning her respect in both academic and industrial communities.

Profile

Scopus

Education

Lingyu Ai earned her Ph.D. in Electronic Engineering from the Holodigilog Human Media Research Center at Kwangwoon University, South Korea. During her doctoral studies, she was mentored by Professor Eun-Soo Kim, a distinguished scientist and recipient of the Korean Presidential Award. Her educational background laid a solid theoretical and experimental foundation for her later pursuits in optical systems, imaging, and digital media technologies. Her international education experience has equipped her with a global perspective and advanced methodologies in the development of 3D display systems.

Experience

Since completing her doctoral studies, Ai has established herself as a leading academic and researcher in 3D visualization. At Jiangnan University, she has led and participated in five national-level projects, including those funded by the National Natural Science Foundation and the Ministry of Science and Technology’s Foreign Expert Program. Her research is characterized by its strong applicability and commercial potential, particularly in designing deployable 3D imaging systems and display technologies. Her experience spans interdisciplinary domains including electronics, optics, artificial intelligence, and biomedical engineering. Notably, her research results have not only been published but also transformed into demonstrable, market-ready technologies that have garnered industry acclaim.

Research Interests

Professor Ai’s primary research interests lie in the development of large-scale naked-eye 3D displays, subwavelength structure modeling, and 3D imaging systems tailored for chip inspection and biomedical applications. She also explores positioning and attitude estimation techniques for AR/VR, circuit miniaturization, and digital content generation. A significant focus of her current work involves integrating subwavelength structure diffraction models with deep learning algorithms to solve complex inverse diffraction problems. Her long-term research goal is to establish a world-leading 3D imaging and display research team capable of producing cutting-edge equipment with billion-level industrial impact. She continues to investigate how deep learning can enhance physical model-driven imaging, laying the groundwork for future innovations in metasurface lens design and flexible 3D displays.

Awards

Lingyu Ai has received two second-class awards for scientific and technological innovation at the municipal level or higher. These honors recognize her substantial contributions to the advancement of optical imaging and display technologies and highlight her role in fostering interdisciplinary technological integration. Her ability to bridge theoretical research with practical implementation has made her a standout figure in the scientific community. The recognition also underscores her capacity to lead complex projects with wide-reaching commercial and societal impact.

Publications

  • Title: Nanometer-scale wafer surface defect measurement based on state-space digital holographic microscopy
    Authors: Shengcheng Geng, Lingyu Ai, Yujia Gao, Myungjin Cho, Kanghee Won

  • Title: Generating real-scene hologram through light field imaging and deep learning
    Authors: Rui Wang, Lingyu Ai, Yinghui Wang, Yuqing Ni, Myungjin Cho

Conclusion

Lingyu Ai exemplifies the fusion of interdisciplinary research and engineering innovation. Her academic foundation in electronic engineering, combined with her applied research in 3D imaging and visualization technologies, has positioned her as a leader in the digital optics and AR/VR domain. Through a combination of national research leadership, strong publication record, and technological innovation, she has built a reputation for advancing frontier technologies into practical solutions. Her trajectory continues to shape the future of display systems, offering transformative impacts across digital economy sectors such as visual IoT, medical diagnostics, and immersive computing.

Zhaoxiang Zhang | Object Tracking | Best Researcher Award

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Prof. Dr. Zhaoxiang Zhang | Object Tracking | Best Researcher Award

Professor at Unmanned System Research Institute, Northwestern Polytechnical University, China

Professor Zhaoxiang Zhang is a distinguished researcher at the Unmanned System Research Institute of Northwestern Polytechnical University. His academic career is characterized by profound contributions to the fields of aerospace engineering, computer vision, and autonomous systems. With a strong foundation in remote sensing and artificial intelligence, Prof. Zhang has emerged as a thought leader in processing point cloud data, developing robust unsupervised learning models, and advancing autonomous navigation technologies. His research has not only contributed to the theoretical development of these fields but also addressed critical real-world challenges in aerospace and defense sectors.

Profile

Scopus

Education

Prof. Zhang pursued his academic training with a strong focus on aerospace technologies, remote sensing, and computational intelligence. His higher education and doctoral research revolved around spaceborne sensing systems, satellite navigation, and sensor fusion. This background equipped him with the analytical and technical foundation to bridge aerospace engineering with cutting-edge AI techniques. His graduate work emphasized image registration and attitude estimation, laying the groundwork for his later innovations in visual navigation and deep learning-based object tracking.

Experience

With years of experience leading both academic and applied research, Prof. Zhang has played a pivotal role in projects funded by the National Natural Science Foundation of China and multiple defense-sector institutions. He has successfully led a Youth Program grant and steered three vertical defense research subjects and two provincial-level initiatives. His research leadership spans the development of advanced deep learning architectures, unsupervised domain adaptation techniques, and lightweight models suitable for embedded aerospace systems. Prof. Zhang also contributes significantly to mentorship, guiding student teams that have earned national innovation awards and top honors at competitions like the Challenge Cup and Internet+ National Games.

Research Interests

Prof. Zhang’s research interests are multidisciplinary, encompassing aerospace target detection and recognition, attitude estimation, point cloud segmentation, multimodal data integration, and unsupervised model transfer. He focuses particularly on non-cooperative target tracking and cross-domain visual matching, crucial for autonomous navigation in dynamic or GPS-denied environments. His work also delves into scene change detection, pixel-level anomaly recognition, and the development of efficient, lightweight neural architectures for real-time applications on UAVs and small satellites. The fusion of AI with aerospace engineering in his work exemplifies a high-impact intersection of disciplines.

Awards

Prof. Zhang’s dedication to innovation and excellence has earned him national recognition. Notably, he has been honored with the Internet+ National Games Silver Award (twice) and the first prize in the prestigious Challenge Cup competition. Under his guidance, research group students have produced outstanding innovation outcomes recognized at the national level. These accolades underline his ability not only to conduct pioneering research but also to cultivate the next generation of innovators in aerospace AI technologies.

Publications

Prof. Zhang has authored over ten SCI-indexed publications as first or corresponding author. Seven of his most notable works include:

  1. Zhang Z, Ji A, Zhang L, et al. (2023). Unsupervised seepage segmentation pipeline based on point cloud projection with large vision model. Tunnelling and Underground Space Technology — cited by 25 articles.

  2. Zhang Z, Xu Y, Song J, et al. (2023). Robust pose estimation for non-cooperative space objects. Scientific Reports — cited by 18 articles.

  3. Zhang Z, Xu Y, Song J, et al. (2023). Planet craters detection using unsupervised domain adaptation. IEEE Transactions on Aerospace and Electronic Systems — cited by 30 articles.

  4. Zhang Z and Zhang L (2023). Rail Surface Defects Detection Using Multistep Domain Adaptation. IEEE Transactions on Systems, Man, and Cybernetics: Systems — cited by 22 articles.

  5. Zhang Z, Ji A, Zhang L, et al. (2023). Deep learning for large-scale point cloud segmentation with causal inference. Automation in Construction — cited by 27 articles.

  6. Zhang Z, Xu Y, Cui Q, et al. (2022). Unsupervised SAR and Optical Image Matching. IEEE Transactions on Geoscience and Remote Sensing — cited by 41 articles.

  7. Song J, Zhang Z, Iwasaki A, et al. (2021). Augmented H∞ Filter for Satellite Jitter Estimation. IEEE Transactions on Aerospace and Electronic Systems — cited by 36 articles.

Conclusion

Professor Zhaoxiang Zhang stands at the forefront of integrating artificial intelligence with aerospace engineering. His extensive contributions in the domains of remote sensing, point cloud processing, and autonomous navigation have significantly advanced both theoretical frameworks and practical applications. As a mentor and leader, his influence extends beyond his own research to shaping the future of technological innovation through his students and collaborations. With a track record of impactful publications, national awards, and strategic project leadership, Prof. Zhang exemplifies the qualities of a transformative scientific thinker deserving of recognition in AI data science.

Chaojin Qing | Wireless Communication Systems | Best Researcher Award

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Prof. Chaojin Qing | Wireless Communication Systems | Best Researcher Award

Teacher at Xihua University, China

Chaojin Qing is a distinguished professor at the School of Electrical Engineering and Electronic Information at Xihua University, China. With a solid foundation in wireless communications and a progressive career spanning over two decades, he has contributed significantly to AI-driven wireless system innovations. He has held prominent academic and research roles and is widely recognized for his groundbreaking work in the areas of OFDM systems, channel estimation, timing synchronization, and CSI feedback. Qing’s career reflects an exceptional blend of academic depth and practical innovation, positioning him as a leader in the field of intelligent wireless communication technologies.

Profile

Orcid

Education

Chaojin Qing earned his Ph.D. from the National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China (UESTC) in 2011, focusing on advanced communication systems. Prior to this, he completed his M.S. in Communication and Information Engineering at UESTC in 2006 and obtained his B.S. in Communication Engineering from Chengdu University of Information Technology in 2001. His academic training has been instrumental in shaping his career, providing him with the technical expertise and research acumen necessary to excel in the dynamic fields of wireless communications and signal processing.

Experience

Professor Qing began his academic journey as a lecturer at Chengdu University of Information Technology from 2001 to 2004. He then pursued postdoctoral research at UESTC, working on advanced wireless communication challenges. Since 2011, he has served at Xihua University, advancing from professor to leading researcher. Notably, he was a visiting scholar at the University of Waterloo, Canada, from 2015 to 2016, where he collaborated with global experts in broadband communications. Over the years, Qing has led numerous national and provincial research initiatives and has developed a vibrant research group at Xihua University, fostering talent and innovation in wireless technologies.

Research Interest

Qing’s research is rooted in wireless networks and communications, with a significant emphasis on how artificial intelligence can enhance physical-layer wireless communication systems. His primary areas of focus include 5G/6G new radio (NR), Wi-Fi 7, broadband satellite communication, and AI-driven reconfigurable intelligent surfaces (RIS). He also explores micro-energy-powered IoT systems, UAV communication technologies, integrated sensing and communication (ISAC), and symbiotic radio (SR). His work extends into intelligent hardware and embedded system design, particularly FPGA-based solutions, supporting the digital transformation of various industries through AI-empowered system upgrades.

Award

Professor Qing has earned wide recognition for his contributions to wireless communication research and AI-integrated systems. He has received funding from the National Natural Science Foundation of China, the Ministry of Education, and multiple provincial departments for over 30 major research projects. His innovations have led to numerous patents granted in China across synchronization, channel estimation, and AI-based communication methods. These accolades reflect not only the technical novelty of his work but also its practical impact on industrial and academic communities alike.

Publication

Chaojin Qing has published over 100 research papers, with several high-impact contributions in recent years. Notable examples include:

  1. Qing et al., “Sensing-assisted CSI Feedback by Leveraging Communication Echoes,” Signal Processing, May 2025 – This work proposes a novel feedback method using signal reflections for improved channel state estimation.

  2. Qing et al., “Two-Stage Cascaded Speech Enhancement by Exploiting Magnitude and Phase Optimization,” Circuits, Systems, and Signal Processing, May 2025 – Presents an advanced dual-stage enhancement method for robust speech signal processing.

  3. Qing et al., “A Low-Complexity Sensing-aided Timing Synchronization Method for UAV-Assisted OFDM Systems,” IEEE Wireless Communications Letters, vol. 14, no. 3, Mar. 2025 – Introduces an efficient synchronization technique for aerial communication.

  4. Wang et al. (with Qing), “Sensing Information-assisted CSI Feedback,” IEEE Communications Letters, vol. 29, no. 2, Feb. 2025 – Examines sensing-integrated feedback strategies for next-gen networks.

  5. Qing et al., “Channel Estimation in OTFS Systems by Leveraging Differential Modulation,” IEEE Transactions on Vehicular Technology, Dec. 2024 – Focuses on enhanced estimation in time-variant channels.

  6. Qing et al., “GatS-Net: GAT-based Superimposed CSI Feedback,” IEEE Transactions on Green Communications and Networking, vol. 9, no. 2, Jun. 2025 – Develops a graph-attention-based network for efficient feedback.

  7. Qing et al., “Sensing-aided Channel Estimation in OFDM Systems by Leveraging Communication Echoes,” IEEE Internet of Things Journal, vol. 11, no. 23, Dec. 2024 – Presents a sensing-enhanced method for OFDM channel analysis.
    These publications have been cited in numerous peer-reviewed journals and conference proceedings, underscoring their impact on wireless communication research and applications.

Conclusion

Chaojin Qing’s academic journey and research trajectory exemplify excellence in wireless communication systems empowered by artificial intelligence. Through his leadership at Xihua University and active collaboration with global institutions, he has pioneered methods that bridge theory and application. His research contributes to the evolution of next-generation wireless networks, positioning him as a significant figure in both academic and industrial circles. With sustained contributions across AI-integrated communication, IoT, and UAV systems, Professor Qing remains at the forefront of innovation in modern digital communication technologies.

Krishnan P | Physics – Material Science | Best Researcher Award

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Dr. Krishnan P | Physics – Material Science | Best Researcher Award

Associate Professor at St. Joseph’s college of Engineering, India

Dr. P. Krishnan is a seasoned academic and researcher in the field of physics, currently serving as an Associate Professor at St. Joseph’s College of Engineering, Chennai. With more than 12 years of extensive teaching and administrative experience, he has emerged as a distinguished figure in higher education, known for his commitment to excellence, leadership in academic initiatives, and mentorship to students and fellow faculty. He has delivered numerous invited lectures and keynote addresses across India, covering emerging topics in nanotechnology, spectroscopy, and physics education, thereby establishing a robust network within academic and research communities.

Profile

Scopus

Education

Dr. Krishnan holds a rich academic background with multiple postgraduate degrees including M.Sc., M.Ed., M.Phil., and a Ph.D. in Physics. His educational journey was underscored by a focus on physical sciences, crystal growth, and materials research, which later became the foundation of his academic career. He has also qualified for the CSIR-NET, a prestigious national-level examination in India, further substantiating his academic credentials and commitment to the research domain.

Experience

Throughout his career, Dr. Krishnan has actively contributed to the academic sphere not only through classroom teaching but also through curriculum development, student mentorship, and faculty training. He has participated as a speaker and resource person in several faculty development programs and international webinars, addressing a wide array of topics from nanofiber applications in energy storage to career guidance for students. Additionally, his involvement in institutional programs as a chief guest highlights his leadership and outreach beyond the conventional boundaries of academic instruction. He has been instrumental in organizing academic events and guiding both students and faculty in research and professional development.

Research Interests

Dr. Krishnan’s research primarily focuses on nanomaterials, crystal growth, and spectroscopy. His investigations into novel electrode materials, nonlinear optical crystals, and hybrid nanocomposites have led to meaningful contributions in applied physics and material sciences. With a consistent research output and a strong presence on Google Scholar (870 citations, h-index: 15, i10-index: 20), his work reflects both innovation and applicability, especially in areas like supercapacitors, energy storage devices, and optoelectronics. His research profile, indexed in Scopus and ORCID, showcases collaboration with interdisciplinary teams and commitment to scientific progress.

Awards

Dr. Krishnan’s consistent invitations as a keynote speaker, chief guest, and research mentor indicate recognition and appreciation by the academic community. His selection to represent physics education in multiple national and international forums itself is a testament to his impactful contributions and respected status in the field.

Publications

Dr. Krishnan has authored over 36 journal publications. A sample of seven notable articles includes:

  1. “Hydrothermal synthesis of NiCo₂O₄ nanorods for supercapacitors,” Chemical Physics Letters, 2025; cited by 22 articles.

  2. “Biomedical applications of terbium oxide nanoparticles,” Nano-Structures and Nano-Objects, 2024; cited by 15 articles.

  3. “Electrochemical and magnetic properties of Y-SnO₂-CdO nanocomposite,” Journal of Alloys and Compounds, 2024; cited by 18 articles.

  4. “CdS: Pb²⁺, Cu²⁺ doped nanoparticles for energy storage,” Inorganic Chemistry Communications, 2024; cited by 10 articles.

  5. “Benzotriazolium oxalate dihydrate single crystal growth,” Journal of Materials Science: Materials in Electronics, 2023; cited by 14 articles.

  6. “Yttrium doped SnO₂–NiO nanocomposite,” Journal of Physics and Chemistry of Solids, 2023; cited by 12 articles.

  7. “NiO/ZnO thin film heterostructures for pseudocapacitors,” Journal of Sol-Gel Science and Technology, 2023; cited by 9 articles.

Conclusion

Dr. P. Krishnan exemplifies the modern academician—a researcher, mentor, and educator devoted to the advancement of science and technology through teaching, research, and community engagement. His impactful work in nanomaterials and optics, combined with his dedication to student development and academic excellence, positions him as a strong candidate for professional recognition. His sustained research output, active participation in knowledge dissemination, and commitment to mentoring demonstrate his potential to continue contributing significantly to the field of physics and engineering education.

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.