Angela CHAO | Industrial Organization | Women Researcher Award

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Prof. Dr. Angela CHAO | Industrial Organization | Women Researcher Award

Southeast University | China

Angela C. Chao is an Associate Professor with tenure in the Department of Economics at Southeast University, where she also directs the Institute of Big Data Platform Economics and Enterprise Growth, and serves on the council of the China Industrial Economics Association. Her research lies in theoretical industrial organization, with particular emphasis on strategic decision-making by platforms, regulation, and issues in technological innovation. She holds a doctoral degree in Industrial Economics from Xi’an Jiaotong University, a master’s in Finance, and a bachelor’s in Business Administration. She has held postdoctoral and visiting scholar appointments including at Oxford University and Stanford University, and currently is an Honorary Research Associate at Oxford’s Smith School of Enterprise and Environment. Her published work spans multiple journal articles, book chapters, and conference papers. She has over [h-index: X], with more than [documents: Y] publications that have been cited [citations: Z] times. She participates in editorial work and academic leadership roles, contributing to both policy and scholarly debates in economics and management. Her work leverages big data analysis and dynamic models to understand enterprise growth, regulatory frameworks, and platform economics.

Profile: Scopus 

Featured Publications 

The role of Fintech in shaping corporate carbon emissions: Evidence from China's firm-level data.

Damilola Sherifat Shaba | Public Health | Outstanding Contribution Award

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Ms. Damilola Sherifat Shaba | Public Health | Outstanding Contribution Award

University of Illinois Springfield | United States

Damilola Sherifat Shaba is a dynamic and results-driven public health professional with extensive experience in health information management, data systems administration, and program development. Based in Springfield, Illinois, she has demonstrated outstanding leadership in designing and implementing digital health solutions that enhance efficiency, collaboration, and decision-making across public health sectors. With expertise in Microsoft SharePoint, Power Platform, Power BI, and Dynamics 365, Damilola has successfully led projects that bridge technology and healthcare operations. Her academic foundation includes a master’s degree in public health with a concentration in environmental health from the University of Illinois Springfield and a bachelor’s degree in health information management from Kwara State University. She has contributed to several impactful initiatives at institutions such as the Illinois Department of Public Health and the Federal Medical Center, improving workflow processes and public health outcomes. A passionate advocate for innovation in health informatics, her work has been recognized for advancing environmental health awareness and immunization programs. Damilola’s research contributions are supported by an h-index of 3, 5 scholarly documents, and over 40 citations, reflecting her growing influence in the fields of public health informatics and environmental health systems.

Profile: Google Scholar 

Featured Publications 

Ajayi, O. O., Wright-Ajayi, B., Mosaku, L. A., Davies, G. K., Moneke, K. C., et al. (2024). Application of satellite imagery for vector-borne disease monitoring in sub-Saharan Africa: An overview. GSC Advanced Research and Reviews, 8(3), 400–411.

Davies, G. K., Davies, M. L. K., Adewusi, E., Moneke, K., Adeleke, O., Mosaku, L. A., et al. (2024). AI-enhanced culturally sensitive public health messaging: A scoping review. E-Health Telecommunication Systems and Networks, 13(4), 45–66.

Ajayi, O. O., Wright-Ajayi, B., Mosaku, L. A., Davies, G. K., Moneke, K. C., et al. (2024). Enhancing infectious disease management in Nigeria: The role of artificial intelligence in diagnosis and treatment. Clinical Case Reports International, 8, 1670.

Shaba, D. (2025). Built environment, community design, and public health: Shaping healthier communities. APHA 2025 Annual Meeting and Expo.

Davies, G. K., & Amponsah, I. A. (2025). Impact of healthcare fraud on racial disparities in health outcomes in the United States. [Manuscript in preparation or conference paper, if applicable].

Yongbo Li | Behavior Economics | Best Innovation Award

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Prof. Yongbo Li | Behavior Economics | Best Innovation Award

China University of Pertoleum (East China) | China 

Prof. Yongbo Li is a distinguished researcher specializing in environmental economics, sustainable development, and green behavior policy analysis. His work focuses on promoting eco-friendly practices among urban residents and industries through data-driven economic modeling and behavioral experimentation. He has successfully led multiple national and regional research projects, including studies on urban green travel guidance, water-saving behavior strategies, emission reduction in China’s oil industry, and transformation dynamics of regional economic growth. Prof. Li’s investigations have provided strategic insights into low-carbon development and sustainable industrial transformation, particularly under China’s evolving carbon emission trading mechanisms. His consultancy work extends to national enterprises and government bodies, contributing to energy conservation, emission reduction, and financial planning initiatives such as the “15th Five-Year Financial Plan for Qingdao Huangdao District” and the “Industrial Energy Conservation Model for the Yellow River Delta.” His recent publications in high-impact journals like Journal of Cleaner Production and Annals of Operations Research highlight his contributions to sustainable manufacturing and behavioral economics in environmental management. Through his scholarly output, including influential books and ongoing applied research, Prof. Li continues to advance the integration of economic theory with sustainability practices, addressing critical challenges in energy, environment, and policy innovation.

Profile: Orcid 

Featured Publications 

Wang, J., van Zyl, J. E., Wen, L., Li, Y., & Che, S. (2025). The impact of smart meter programmes on household water consumption: Evidence from New Zealand. Journal of Behavioral and Experimental Economics, 109, 102413.

Wang, J., Wen, L., Li, Y., Liu, J., & Che, S. (2025). Uncovering the impacts of social comparative information on water saving behavior among urban residents: A field experiment in China. Journal of Cleaner Production, 485, 144863.

 

Hiroaki Kobayashi | Gynecology | Best Researcher Award

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Prof. Hiroaki Kobayashi | Gynecology | Best Researcher Award

Dept. of Obstetrics and Gynecology,Faculty of Medicine, Kagoshima University | Japan

Hiroaki Kobayashi, M.D., Ph.D. is a leading figure in gynecologic oncology, currently serving as Professor and Chairman of Obstetrics & Gynecology at Kagoshima University (also Professor in the Course of Advanced Cancer Medicine for Gynecologic Cancer). His clinical expertise encompasses robot-assisted surgery, chemotherapy including molecular targeted agents, and translational research such as comprehensive genomic profiling and drug delivery systems. Educated at Kyushu University, with post-doctoral training in Canada, he has held senior academic positions across Japan, including roles directing robotic surgery centres and genetic counselling. He is deeply involved in professional societies in Japan and abroad, particularly those focused on gynecologic oncology and robotic surgery. According to institutional and bibliographic sources, he has authored approximately 248 published papers. The exact h-index and total citation count were not publicly confirmed in reliable sources as of the latest update. Nevertheless, his publication record shows consistent productivity with multiple highly cited works in top journals in his field, reflecting strong influence in gynecologic cancer research.

Profile: Orcid

Featured Publications 

Togami, S., Furuzono, N., Mizuno, M., & Kobayashi, H. (2025). Comparison of laparoscopic and robotic-assisted minimally invasive surgery with sentinel lymph node navigation in low-risk endometrial cancer: A retrospective analysis. Journal of Gynecologic Oncology, 36(e122).

Togami, S., Furuzono, N., Kobayashi, Y., Fukuda, M., Yanazume, S., & Kobayashi, H. (2025, October). Fertility‐sparing trachelectomy with sentinel node mapping in early‐stage cervical cancer: Oncological safety and obstetric outcomes from a single‐institution study. Journal of Obstetrics and Gynaecology Research.

Kozai, A., Yanazume, S., Ejima, F., Tatarano, S., Kobayashi, Y., Kubo, R., Togami, S., Yoshiura, T., & Kobayashi, H. (2025, August 1). Segmental renal infarction associated with accessory renal arteries after para-aortic lymphadenectomy in gynecologic malignancies. Medicina, 61(8), 1395.

Mizuno, M., Togami, S., Nakazono, M., Higashi, Y., Furuzono, N., Fukuda, M., & Kobayashi, H. (2025, July). Impact of obesity on the outcomes and cost of robotic surgery for stage IA endometrial cancer: A regional perspective from Japan. International Journal of Clinical Oncology.

Yanazume, S., Ejima, F., Kobayashi, Y., Kozai, A., Fukuda, M., Togami, S., Yoshiura, T., & Kobayashi, H. (2025, July). Potential preoperative three‐dimensional computed tomography for para‐aortic lymphadenectomy in gynecological malignancies. Journal of Obstetrics and Gynaecology Research.

Corrado Ciatti | Orthopedics | Best Researcher Award

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Dr. Corrado Ciatti | Orthopedics | Best Researcher Award

Ausl Piacenza | Italy

Dr. Corrado Ciatti is an Italian orthopedic surgeon and researcher affiliated with the Orthopedics and Traumatology Department at AUSL Piacenza, Italy. He holds a Master's Degree in Medicine and Surgery from the University of Parma and is a licensed medical doctor. His clinical expertise encompasses perioperative patient management, scientific research, and assisting in orthopedic and trauma surgeries. Dr. Ciatti has actively contributed to medical education by teaching first aid courses and has participated in several internships across various medical specialties, including orthopedics, hematology, and general practice. He has presented his research at numerous international conferences, focusing on topics such as modular necks in total hip arthroplasty and distal femur fracture treatments. Dr. Ciatti has authored over 60 publications, with more than 1,100 citations, reflecting his significant contributions to the field of orthopedic surgery. His research interests include joint arthroplasty, trauma management, and surgical techniques, aiming to enhance patient outcomes and advance orthopedic practices. Dr. Ciatti's work continues to influence both clinical practices and academic discussions in the realm of orthopedics.

Profile: Google Scholar

Featured Publications 

GS Collaborative, & COVIDSurg Collaborative. (2021). Timing of surgery following SARS‐CoV‐2 infection: An international prospective cohort study. Anaesthesia, 76(6), 748–758.

COVIDSurg Collaborative, & GlobalSurg Collaborative. (2021). SARS-CoV-2 vaccination modelling for safe surgery to save lives: Data from an international prospective cohort study. British Journal of Surgery, 108(9), 1056–1063.

COVIDSurg Collaborative, & GlobalSurg Collaborative. (2022). SARS‐CoV‐2 infection and venous thromboembolism after surgery: An international prospective cohort study. Anaesthesia: Peri-operative Medicine, Critical Care and Pain.

Maniscalco, P., Poggiali, E., Quattrini, F., Ciatti, C., Magnacavallo, A., Vercelli, A., … [other authors]. (2020). Proximal femur fractures in COVID-19 emergency: The experience of two Orthopedics and Traumatology Departments in the first eight weeks of the Italian epidemic. Acta Bio Medica: Atenei Parmensis, 91(2), 89–95.

Benazzo, F., Rossi, S. M. P., Maniscalco, P., Moretti, B., Vaienti, E., Ruggieri, P., … [other authors]. (2020). The orthopaedic and traumatology scenario during Covid-19 outbreak in Italy: Chronicles of a silent war. International Orthopaedics, 44(8), 1453–1459.

Neriman Yükseltürk Şimşek | Breast Cancer | Best Researcher Award

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Assist. Prof. Dr. Neriman Yükseltürk Şimşek | Breast Cancer | Best Researcher Award

Ankara University | Turkey

Dr. Neriman Yükseltürk Şimşek is an Assistant Professor in the Department of Nursing at Ankara University, Turkey. With over two decades of clinical experience in intensive and emergency care nursing, she transitioned to academia after completing her master's and doctoral degrees. Her research primarily focuses on enhancing the quality of life for cancer patients through innovative, evidence-based nursing interventions. Dr. Şimşek has conducted significant studies on the effects of complementary therapies—such as reflexology, cold application, and exercise—on chemotherapy-induced side effects like peripheral neuropathy, nausea, vomiting, and anxiety PubMed+1. She has also contributed to the Turkish validation of the Chemotherapy-Induced Peripheral Neuropathy Assessment Tool PubMed. Her scholarly work has been published in reputable journals, including the Asia-Pacific Journal of Oncology Nursing and Complementary Medicine Research. Dr. Şimşek's research has been cited over 50 times, reflecting her impact in the field. Her commitment to patient-centered care and quality of life continues to drive her academic and clinical endeavors.

Profile: Orcid 

Featured Publications 

Kurt, G., Tarus, H. A., & Yükseltürk Şimşek, N. (2025). Assessment of Survivor Concerns Scale for gynecological cancer: Turkish validity and reliability study. Seminars in Oncology Nursing.

 Yükseltürk Şimşek, N., & Demir, A. (2024). Determining the impact of the COVID-19 pandemic on depression, anxiety and stress levels in cancer patients. Kafkas Journal of Medical Sciences.

Yükseltürk Şimşek, N. (2022). Determining the effect of reflexology on nausea, vomiting and anxiety in patients with breast cancer receiving chemotherapy: A randomized controlled study.

 Yükseltürk Şimşek, N. (n.d.). Cold application and exercise on development of peripheral neuropathy during taxane chemotherapy in breast cancer patients: A randomized controlled trial.

 Yükseltürk Şimşek, N. (n.d.). Determination of early side effects after COVID-19 vaccinations.

Kelly Jacoby | Orthopaedic Surgery | Research Excellence Distinction Award

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Ms. Kelly Jacoby | Orthopaedic Surgery | Research Excellence Distinction Award

Medical College of Wisconsin | United States

Kelly Jacoby has an extensive background in biomedical and clinical research, with a strong focus on orthopaedic surgery, biomechanics, and health technology evaluation. As first author, Jacoby led a retrospective study investigating the impact of social deprivation on reverse shoulder arthroplasty outcomes, encompassing data collection, statistical analysis, and manuscript preparation, with presentations at multiple regional and institutional conferences. Additional first-author work includes a cadaveric biomechanical evaluation comparing barbed versus standard sutures in side-to-side tendon transfer techniques, aiming to optimize repair strength and facilitate early mobilization. Jacoby is also spearheading research on ChatGPT’s diagnostic accuracy in upper extremity orthopaedic patients based on patient-reported symptoms, integrating standardized surveys to assess AI-assisted patient engagement. Contributions as a second and third author involve multicenter retrospective cohort studies examining the effects of preoperative GLP-1 receptor agonists and SGLT2 inhibitors on rotator cuff repair outcomes, as well as disparities in surgical treatment influenced by insurance and demographic factors. Additional experience includes collaborative studies on Type II odontoid fractures and preclinical neurobiology research at Marquette University, conducting behavioral and brain tissue analyses. Across these projects, Jacoby has demonstrated proficiency in study design, statistical analysis, data interpretation, and manuscript development, reflecting a commitment to advancing orthopaedic outcomes, healthcare equity, and innovative diagnostic approaches.

Profile: Orcid

Featured Publications 

Jacoby, K. E., Andryk, L. M., Valiquette, A., Van Boxtel, M., Cox, E., Grindel, S. I., & Graf, A. (2025). The impact of social deprivation on reverse total shoulder arthroplasty outcomes. JSES Reviews, Reports, and Techniques.

Yildiray Daduk | Gastroenterological Surgery | Best Researcher Award

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Assist. Prof. Dr. Yildiray Daduk | Gastroenterological Surgery | Best Researcher Award

Adıyaman Training and Research Hospital, Adiyaman, Turkey | Turkey

Dr. Yildiray Dadük is a distinguished faculty member in the Department of General Surgery at Adıyaman University Faculty of Medicine, Türkiye. A graduate of Istanbul University Faculty of Medicine, he completed his residency in General Surgery and later earned subspecialty certification in Gastrointestinal Surgery. With extensive expertise in hepatopancreatobiliary, gastrointestinal, pancreatic, and bariatric surgeries, he is recognized for his contributions to minimally invasive and laparoscopic surgical innovations. Dr. Dadük has authored over 8 peer-reviewed publications in SCI and Scopus-indexed journals, accumulating 150 citations, an H-index of 2, and a total of 10 documented research projects focusing on liver, stomach, rectum, pancreatic, and hernia repair advancements. He also serves as a reviewer for more than 10 indexed surgical manuscripts and provides institutional consultancy in laparoscopic surgical innovations. His research emphasizes improving patient safety, surgical efficiency, and clinical outcomes through evidence-based practices. Actively collaborating with national and international research groups, he maintains professional memberships in the Turkish Society of Surgery, ACID, and the National Gastric Cancer Association. Through his commitment to surgical education and innovation, Dr. Dadük continues to advance the frontiers of modern gastrointestinal and laparoscopic surgery, shaping the future of minimally invasive surgical care in Türkiye and beyond.

Profile: Orcid 

Featured Publications 

Daduk, Y. (2025). Customized TEP inguinal hernia repair: Innovative approaches with outstanding surgical outcomes. Current Problems in Surgery, 62, 101815.

Daduk, Y. (2024). Breast hydatid cyst: Diagnosis and treatment of a rare case with spontaneous rupture. Surgical Infections, 25(?), Article 178.

Daduk, Y. (2024). Treatment options and the management of complications in hydatid cysts of the liver in endemic regions. Annali Italiani di Chirurgia, 95(?), Article 3379.

Daduk, Y., Seker, A., Sozutek, A., Olmez, T., Kaplan, K., Dur, H., & Ozdemir, G. (2022). Treatment options and the management of complications in hydatid cysts of the liver in endemic regions. Research Square.

Daduk, Y. (2021). Acute abdomen due to torsion of the wandering spleen: A rare clinical presentation. Ulusal Travma ve Acil Cerrahi Dergisi–Turkish Journal of Trauma & Emergency Surgery, 27(1), Article 734.

Farahnaz Rostami | Agricultural Extension and Education | Women Researcher Award

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Assoc. Prof. Dr. Farahnaz Rostami | Agricultural Extension and Education | Women Researcher Award

 Razi University | Iran   

Dr. Farahnaz Rostami is a distinguished researcher and academic whose work centers on sustainable agriculture, food security, and environmental governance. Her research interests span agroecology, organic agriculture, GM crops, land and food policies, agrarian change, sustainable livelihoods, and the vulnerability of farmers. She is deeply engaged in advancing decision support systems and fuzzy modeling approaches, integrating both qualitative and quantitative methodologies to address complex agricultural and environmental challenges. Dr. Rostami has taught a diverse range of courses, including food policy, principles of organic farming, agrarian change, sustainable rangeland management, and the application of GM crops in developing countries. Her teaching reflects a holistic approach that bridges science, policy, and practice. Recognized for her academic excellence, she has received multiple honors as the best graduate at the bachelor’s, master’s, and doctoral levels, as well as the Best Researcher Award at Razi University. Fluent in English, Kurdish, and Persian, Dr. Rostami is proficient in professional software such as SPSS, MATLAB, Statistica, NVivo, and Smart PLS. She has conducted numerous international workshops on land governance, environmental management, and fuzzy logic applications in agriculture. As a reviewer for prestigious journals like Biotechnology Advances and Land Use Policy, Dr. Rostami continues to contribute significantly to the fields of agricultural development, sustainability, and environmental decision-making.

Profile: Google Scholar 

Featured  Publications 

Sadati, S. A., Ghobadi, F. R., Sadati, S. A., Mohamadi, Y., Sharifi, O., & Asakereh, A. (2010). Survey of effective factors on adoption of crop insurance among farmers: A case study of Behbahan County. African Journal of Agricultural Research, 5(16), 2237–2242.

Asadi, A., Akbari, M., Fami, H. S., Iravani, H., Rostami, F., & Sadati, A. (2008). Poverty alleviation and sustainable development: The role of social capital. Journal of Social Sciences, 4(3), 202–215.

Attarod, P., Rostami, F., Dolatshahi, A., Sadeghi, S. M. M., & Amiri, G. Z. (2016). Do changes in meteorological parameters and evapotranspiration affect declining oak forests of Iran? Environmental Monitoring and Assessment, 188(10), 44.*

Rostami, F., Osquee, H. O., Mahdavi, F., & Dousti, S. (2020). Development of a new psychometric assessment tool for predicting hepatitis B virus infection in pregnant women. International Journal of Women’s Health and Reproduction Sciences, 8(3), 297–302.

Amiri, A., Geravandi, S., & Rostami, F. (2021). Potential effects of school garden on students' knowledge, attitude and experience: A pilot project on sixth grade students in Iran. Urban Forestry & Urban Greening, 62, 127174.

Tongcun Liu | Graph Learning and Recommender System | Best Researcher Award

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Assoc. Prof. Dr. Tongcun Liu | Graph Learning and Recommender System | Best Researcher Award

Zhejiang A&F University | China 

Dr. Tongcun Liu is an Associate Professor at Zhejiang A & F University, specializing in computer science and technology with a strong focus on big data analytics and artificial intelligence. He earned his Ph.D. from the Beijing University of Posts and Telecommunications and later enhanced his academic experience as a Visiting Scholar at the Hong Kong University of Science and Technology. His research primarily revolves around advanced algorithms for graph computing, recommendation systems, and AI4Science, contributing significantly to the intersection of data intelligence and computational innovation. Dr. Liu leads multiple research projects funded by the National Natural Science Foundation of China and the Zhejiang Provincial Natural Science Foundation. His current and completed projects include the development of data-driven models for estimating mangrove soil dissolved organic carbon sequestration potential and the creation of cloud-edge collaborative recommendation systems based on session flow methods. With a robust publication record of more than 30 papers in esteemed international journals and conferences, his scholarly work has had a substantial impact on the field of artificial intelligence and data-driven computing. In addition to his academic achievements, Dr. Liu holds over 10 granted patents from more than 20 applications, reflecting his strong commitment to technological innovation and the advancement of AI-based computational methodologies.

Profile : Google Scholar

Featured Publications 

Feng, H., Qiu, J., Wen, L., Zhang, J., Yang, J., Lyu, Z., Liu, T., & Fang, K. (2025). U3UNet: An accurate and reliable segmentation model for forest fire monitoring based on UAV vision. Neural Networks, 185, 107207.

Fang, K., Deng, J., Dong, C., Naseem, U., Liu, T., Feng, H., & Wang, W. (2025). MoCFL: Mobile Cluster Federated Learning Framework for Highly Dynamic Network. Proceedings of the ACM on Web Conference 2025, 5065–5074.

Liu, T., Yu, G., Kwok, H. Y., Xue, R., He, D., & Liang, W. (2025). Enhancing tree-based machine learning for chlorophyll-a prediction in coastal seawater through spatiotemporal feature integration. Marine Environmental Research, 107170.

Shi, Q., Wang, Y., Liu, T., Zhang, L., & Liao, J. (2024). STRL: Writer-Independent Offline Signature Verification with Transformers and Self-Supervised Representation Learning. 2024 10th International Conference on Computer and Communications (ICCC).

Liu, T., Bao, X., Zhang, J., Fang, K., & Feng, H. (n.d.). Enhancing session-based recommendation with multi-interest hyperbolic representation networks. IEEE Transactions on Neural Networks and Learning Systems.