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.

Chaoqun Han | Logistics and Supply Chain Management | Best Paper Award

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Dr. Chaoqun Han | Logistics and Supply Chain Management | Best Paper Award

shanghai Dianji University| China

Chaoqun Han is an accomplished scholar in management science and engineering, specializing in logistics and supply chain management. She currently serves as an Associate Professor at the Business School of Shanghai Dianji University, where she has established herself as a dedicated researcher and educator. Her academic journey began with a bachelor’s and master’s degree in business administration, followed by a doctorate in management science and engineering from Huazhong University of Science and Technology, equipping her with a solid foundation for her research career. Dr. Han’s research primarily explores supply chain dynamics, carbon emission reduction strategies, vendor-managed inventory, third-party logistics, and value-added service strategies in smart manufacturing platforms. She has contributed significantly to high-impact journals, including Computers & Industrial Engineering, Journal of Intelligent & Fuzzy Systems, and Mathematical Problems in Engineering. Her work integrates theoretical insights with practical applications, particularly focusing on carbon tax policies, low-carbon preferences, and collaborative mechanisms within supply chains. Beyond her publications, she has actively participated in multiple research programs funded by the National Natural Science Foundation of China and provincial initiatives, addressing pressing challenges in sustainable logistics, distributed e-commerce, and electric vehicle management. She has also expanded her expertise through international training and visiting scholar positions in Germany and the United States. Through her innovative research and teaching, Dr. Han continues to advance the development of efficient, sustainable, and intelligent supply chain systems.

Profile: Scopus 

Featured Publications 

Han, C.-Q., Hu, Z.-H., & Ma, H.-W. (2023). Dynamic cooperative value-added service strategies of the smart manufacturing platform considering the network effect and altruism preference. Computers & Industrial Engineering, 178, 109048.

Nahed Yousfi | Plasma Treatment in Food Fermentation | Best Researcher Award

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Ms. Nahed Yousfi | Plasma Treatment in Food Fermentation | Best Researcher Award

University of Gabès and university of Toulouse| Tunisia

Nahed Yousfi is a highly motivated researcher in the fields of biology and bioengineering, currently pursuing a doctoral thesis in international cotutelle between the University of Gabès in Tunisia and the University of Toulouse in France. Her research focuses on exploring the effect of plasma treatment on kombucha fermentation, integrating expertise in plasma technology, microbial fermentation, phytochemical characterization, and biological activity evaluation. Throughout her doctoral journey, she has acquired advanced knowledge in cold atmospheric plasma applications, liquid-liquid extraction, spectrophotometric assays, HPLC-DAD, GC-MS analysis, and microbiological quantification of yeasts and bacteria. Before embarking on her doctoral studies, she obtained a master’s degree in microbial biotechnology from the Faculty of Sciences of Sfax, Tunisia, where her research emphasized improving camel milk transformation using natural extracts of Moringa oleifera. This work enriched her skills in physicochemical and microbiological analyses of dairy products, optimization of coagulation processes, experimental cheese production, and evaluation of antioxidant and antibacterial properties. She also holds a bachelor’s degree in life sciences with a specialization in molecular and cellular biology and biotechnology, following her preparatory cycle in biology and geology. Fluent in Arabic, French, and English, with additional skills in Spanish, she is proficient in several scientific software tools, including Excel, Word, PowerPoint, SPSS, OriginLab, Xcalibur, and Chromeleon 7. Recognized for her rigor, organization, and analytical mindset, Nahed continues to contribute to innovative research in bioengineering and microbial sciences.

Profile: Orcid 

Featured Publications 

Yousfi, N., Merbahi, N., Bouajila, J., Taillandier, P., & Debouba, M. (2025). Microbial fermentation assisted by pulsed electric fields, magnetic fields and cold atmospheric plasma: State of the art. Fermentation, 11(7), 417.

Zhaochun Li | Intelligent Material Systems And Control | Best Researcher Award

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Prof. Zhaochun Li | Intelligent Material Systems And Control | Best Researcher Award

Nanjing Forestry University | China

Dr. Li is a distinguished professor in the College of Mechanical and Electronic Engineering at Nanjing Forestry University, where she has built a strong reputation for her pioneering work in intelligent material systems and advanced control techniques. Her academic journey and professional achievements reflect a deep commitment to innovation in engineering research, particularly in areas that address critical challenges in mechanical performance and structural reliability. With a primary focus on intelligent material systems, Dr. Li has explored how these innovative materials can be effectively integrated into modern engineering applications to enhance efficiency and adaptability. A major part of her research is dedicated to passive and active vibration control, an area that plays a crucial role in ensuring stability, safety, and precision in a wide range of engineering systems. By advancing methods to mitigate vibrations, her work contributes to improving structural durability and performance in both industrial and technological contexts. Over the course of her career, Dr. Li has authored more than 60 peer-reviewed journal articles, providing valuable insights and shaping discourse within her field. Her scholarly contributions not only strengthen academic understanding but also open pathways for practical applications, positioning her as a respected leader and innovator in engineering research.

Profile: Orcid

Featured Publication

Hou, M., Xu, X., Ouyang, Q., & Li, Z. (2025, September 30). Research on model predictive control of magnetorheological impact buffer system considering driver modeling. Engineering Research Express.

Zheng, Z., Zhan, J., Li, Z., Wang, Y., Xu, C., & Wang, X. (2025, September 15). Data-driven twisted string actuation for lightweight and compliant anthropomorphic dexterous hands. Biomimetics.

Zheng, J., Xu, C., Li, Z., Gu, C., Li, X., Li, Z., Li, Y., Lou, G., & Chen, Y. (2024). Growing bimetallic CoNi-MOF derivatives between MXene layers with hierarchically coral-like interfaces for enhanced electromagnetic wave absorption. Journal of Materials Chemistry A.

Zheng, J., Zhao, J., Wang, L., Li, Z., Dong, W., & E, S. (2022, November). Optimal control for soft-landing in elevator emergency crash using multiple magnetorheological shock absorbers. Journal of Intelligent Material Systems and Structures.

Zhang, J., Li, Z., & Liu, X. (2021, November 8). Intelligent tea-picking system based on active computer vision and Internet of Things. Security and Communication Networks.