Ozgur Tonkal | Computer Science and Artificial Intelligence | Best Researcher Award

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Assoc. Prof. Dr. Ozgur Tonkal | Computer Science and Artificial Intelligence | Best Researcher Award

Samsun University | Turkey

Dr. Ozgur Tonkal is a distinguished academician and researcher at Samsun University, specializing in cybersecurity, Software-Defined Networks (SDN), and AI-driven threat detection. He earned his Ph.D. in Computer Engineering from Gazi University in 2022, where his doctoral research introduced an autonomous intrusion detection and mitigation model for SDN, providing adaptive and traffic-aware defense against volumetric attacks. Building on this foundation, he developed a multimodal spam email detection framework that integrates Distil BERT embeddings with structural features, achieving 99.62% accuracy and exposing concept drift vulnerabilities across eras of spam. Dr. Ozgur Tonkal has contributed significantly to both academic research and practical applications through international journal articles, conference papers, and book chapters that advance explainable and continually learning cybersecurity systems. His completed research includes DDoS detection using machine learning and neighborhood component analysis, while ongoing projects focus on adaptive spam detection, IoT traffic analysis, and explainable deep learning models for robust network security. Beyond academia, he serves as ISO/IEC 27001:2022 Lead Auditor, coordinator of a university Cyber Incident Response Team, and technical advisor for the Ministry of Education International Robotics Competition, demonstrating his ability to translate research into real-world solutions. Notable publications include studies on multimodal spam detection, AI-based dementia diagnosis, and DDoS attack detection in SDN. Dr. Ozgur Tonkal exemplifies excellence in research, innovation, and the practical implementation of cybersecurity solutions.

Profile: Google Scholar | ORCID | ResearchGate | LinkedIn | Staff Page

Featured Publications

  • Tonkal, Ö., Polat, H., Başaran, E., Cömert, Z., & Kocaoglu, R. (2021). Machine learning approach equipped with neighbourhood component analysis for DDoS attack detection in software-defined networking. Electronics, 10(1227), 1–18. Cited by 128.

  • Tonkal, Ö., & Polat, H. (2021). Traffic classification and comparative analysis with machine learning algorithms in software-defined networks. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, 9(1), 1–12. Cited by 15.

  • Sertkaya, M. E., Ergen, B., Türkoğlu, M., & Tonkal, Ö. (2024). Accurate diagnosis of dementia and Alzheimer’s with deep network approach based on multi‐channel feature extraction and selection. International Journal of Imaging Systems and Technology, 34(3), e23079. Cited by 4.

  • Ouhsousou, S., & Tonkal, Ö. (2024). Analysis of global language dynamics: A cross-cultural examination of the most spoken languages and perceived learning ease. 8th International Artificial Intelligence and Data Processing Symposium, 1–6. Cited by 1.

  • Selimdaroğlu, Y., Yusuf, & Tonkal, Ö. (2025). Acil durum çağrı merkezi uygulamalarında kullanıcı memnuniyeti ve performans analizi: 112 örneği. International Journal of Advances in Engineering and Pure Sciences, 37(2), 45–60.

Amin Reza Kalantari Khalil Abad | Engineering | Best Researcher Award

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Dr. Amin Reza Kalantari Khalil Abad | Engineering | Best Researcher Award

Iran University of Science and Technology | Iran

Dr. Amin Reza Kalantari Khalil Abad is a distinguished researcher and Lecturer in Industrial Engineering at Iran University of Science and Technology, Tehran, specializing in system optimization and sustainable supply chain design. He earned his Ph.D. in Industrial Engineering from Iran University of Science and Technology (2024), focusing on designing resilient horticultural supply chains under pest disruption, and holds an M.Sc. in Industrial Engineering (System Optimization) from Kharazmi University and a B.Sc. from Meybod University, Iran. His research expertise spans decision-making, operations research, mathematical modeling, and optimization, with emphasis on sustainable, resilient, and circular supply chain networks under uncertainty. Dr. Amin Reza Kalantari Khalil Abad has extensive teaching experience as a lecturer and teaching assistant in logistics, supply chain management, operations research, and software applications including GAMS and MiniTab. He has published six high-impact journal articles, including in the Journal of Environmental Management (2025), Journal of Industrial Information Integration (2025), Computers & Chemical Engineering (2024, 2023), Journal of Cleaner Production (2024), and Applied Soft Computing (2023). His work has been cited 57 times by 51 documents, achieving an h-index of 5 according to Scopus. Recognized as Top Ph.D. Student in Education (2021–2022) and Research (2023–2024), he also serves as a reviewer for leading journals and international conferences. Through his innovative research integrating optimization techniques, sustainable development, and supply chain resiliency, Dr. Amin Reza Kalantari Khalil Abad has significantly contributed to advancing both academic knowledge and practical applications, making him a highly deserving candidate for the Best Researcher Award.

Profile: Scopus | Google Scholar | ORCID | ResearchGate | LinkedIn

Featured Publications

  • Alizadeh, M., Kalantari Khalil Abad, A. R., Jahani, H., & Makui, A. (2023). Prevention of post-pandemic crises: A green sustainable and reliable healthcare supply chain network design for emergency medical products. Journal of Cleaner Production, 139702. https://doi.org/10.1016/j.jclepro.2023.139702

  • Kalantari Khalil Abad, A. R., Barzinpour, F., & Pishvaee, M. S. (2023). Toward circular economy for pomegranate fruit supply chain under dynamic uncertainty: A case study. Computers & Chemical Engineering, 178, 108362. https://doi.org/10.1016/j.compchemeng.2023.108362

  • Kalantari Khalil Abad, A. R., & Pasandideh, S. H. R. (2022). Green closed-loop supply chain network design with stochastic demand: A novel accelerated Benders decomposition method. Scientia Iranica, 29(5), 2578–2592. https://doi.org/10.24200/sci.2022.55657

  • Kalantari Khalil Abad, A. R., Barzinpour, F., & Pishvaee, M. S. (2023). Green and reliable medical device supply chain network design under deep dynamic uncertainty: A novel approach in the context of COVID-19 outbreak. Applied Soft Computing, 110964. https://doi.org/10.1016/j.asoc.2023.110964

  • Kalantari Khalil Abad, A. R., & Pasandideh, S. H. R. (2021). Green closed-loop supply chain network design: A novel bi-objective chance-constraint approach. RAIRO-Operations Research, 55(2), 811–840. https://doi.org/10.1051/ro/2021035

Sayed Mohibul Hossen | Economics, Econometrics and Finance | Best Researcher Award

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Prof. Dr. Sayed Mohibul Hossen | Economics, Econometrics and Finance | Best Researcher Award

Mawlana Bhashani Science and Technology University | Bangladesh

Dr. Sayed Mohibul Hossen, Professor of Statistics at Mawlana Bhashani Science and Technology University (MBSTU), Tangail, Bangladesh, is a distinguished scholar whose work bridges theoretical econometrics and applied statistical forecasting for climate, tourism, and economic sustainability. Holding a Ph.D. in Econometrics from University Sains Malaysia (USM), his doctoral research developed advanced climate forecast models that inform policy and resource planning in Bangladesh’s tourism and environmental management sectors. Over the past decade, Dr. Sayed Mohibul Hossen has published six indexed research papers in internationally recognized journals, including GeoJournal of Tourism and Geosites, Applied Fruit Science, and the Journal of Public Affairs. According to Scopus, his works have achieved 43 citations from 41 documents with an h-index of 2, reflecting steady and growing international recognition. His research uniquely integrates time series modeling with econometric approaches to predict socio-environmental and agricultural trends critical to sustainable development. Beyond his research excellence, Dr. Sayed Mohibul Hossen has demonstrated academic leadership as Former Additional Director of IQAC at MBSTU, supervising numerous graduate dissertations on statistical modeling and climate forecasting. He also serves as a peer reviewer for leading journals such as AJTAS and IJSAB, and holds memberships in the Asiatic Society of Bangladesh (ASB) and the Global Research Institute for Business Academics (GRIBA), Australia. Registered under ORCID, Dr. Sayed Mohibul Hossen’s scientific impact, editorial engagement, and commitment to academic excellence make him a deserving candidate for the Best Researcher Award, recognizing his innovative and sustainable contributions to the advancement of statistical and econometric sciences.

Profile: Scopus | Google Scholar | ORCID | ResearchGate | LinkedIn

Featured Publications

  1. Polas, M. R. H., Raju, V., Hossen, S. M., Karim, A. M., & Tabash, M. I. (2022). Customer’s revisit intention: Empirical evidence on Gen‐Z from Bangladesh towards halal restaurants. Journal of Public Affairs, 22(3), e2572. https://doi.org/10.1002/pa.2572

  2. Hossen, S. M., Hossain, M. T., Rana, M. M., & Ismail, M. T. (2019). Employees’ satisfaction of government organization in Tangail City, Bangladesh. International Business Research, 12(2), 15–20. https://doi.org/10.5539/ibr.v12n2p15

  3. Aktar, S., Islam, M., & Hossen, S. (2012). Human resource management practices and firms performance in Bangladesh: An empirical study on pharmaceutical industry. Asian Business Review, 1(1), 121–125.

  4. Hossen, S. M. (2012). Statistical analysis of current guava production and its prospect in Bangladesh. Asian Business Review, 1(1), 9–14.

  5. Hossen, S. M., Ismail, M. T., & Tabash, M. I. (2021). The impact of seasonality in temperature forecast on tourist arrivals in Bangladesh: An empirical evidence. GeoJournal of Tourism and Geosites, 34(1), 20–27. https://doi.org/10.30892/gtg.34103-634

Zengxin Gao | Medicine and Health Sciences | Innovative Research Award

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Dr. Zengxin Gao | Medicine and Health Sciences | Innovative Research Award

Department of Orthopedics, Zhongda Hospital, Southeast University School of Medicine | China

Dr. Zengxin Gao is a highly accomplished Chief Physician at Southeast University, Affiliated Zhongda Hospital, recognized for his expertise in orthopedics and minimally invasive spinal interventions. He completed his PhD in Orthopedics at Peking Union Medical College in 2008, following a Master’s degree in Orthopedics (2005) and a Bachelor’s degree in Clinical Medicine from Nanjing Medical University (1990). Dr. Zengxin Gao’s clinical career spans over 30 years, beginning as a physician at Nantong University Affiliated Dongtai Hospital, advancing to attending and associate chief physician, and currently serving as Chief Physician at Southeast University Affiliated Zhongda Hospital since 2015. His research focuses on spinal surgery, intervertebral disc regeneration, and innovative minimally invasive techniques for chronic low back and leg pain, particularly in elderly patients. He has led notable projects, including the Jiangsu Provincial Health Commission’s New Technology Introduction Project on percutaneous single-axis hole microscopy (2021–2023). Dr. Zengxin Gao has made significant scholarly contributions, including sole corresponding authorship in Wenbin Xuan, Yucheng Gao, Zengxin Gao. Intraspinal Bone Fragments Resorption in Thoracolumbar Burst Fracture. JAMA Neurol. 2023;80(11):1248–1249 [Cited 12]; co-first authorship in Linhui Ye, Zengxin Gao, Saeed Rohani. Intervertebral disk regeneration in a rat model by allopurinol-loaded Chitosan/alginate hydrogel. Biomol Biomed. 2023;23(4):661–670 [Cited 5]; and co-corresponding authorship in Shuhua Fang et al. Circ_0027885 sponges miR-203-3p to regulate RUNX2 expression and alleviates osteoporosis progression. BMC Musculoskelet Disord. 2024;25:5 [Cited 3]. He has been awarded the Provincial and Ministerial First Prize for the Medical New Technology Introduction Award (2022) for pioneering percutaneous transforaminal endoscopic intervertebral fusion. Dr. Zengxin Gao’s combination of clinical expertise, innovative research, and leadership in orthopedics underscores his outstanding contributions and makes him an ideal candidate for the Innovative Research Award.

Profile: Scopus

Featured Publications

• Xuan, W., Gao, Y., & Gao, Z. (2023). Intraspinal bone fragments resorption in thoracolumbar burst fracture. JAMA Neurology, 80(11), 1248–1249.
https://doi.org/10.1001/jamaneurol.2023.2901

• Ye, L., Gao, Z., & Rohani, S. (2023). Intervertebral disk regeneration in a rat model by allopurinol-loaded chitosan/alginate hydrogel. Biomolecules and Biomedicine, 23(4), 661–670.
https://doi.org/10.17305/bjbms.2023.8535

• Fang, S., Cao, D., Wu, Z., Chen, J., Huang, Y., Shen, Y., & Gao, Z. (2024). Circ_0027885 sponges miR-203-3p to regulate RUNX2 expression and alleviates osteoporosis progression. BMC Musculoskeletal Disorders, 25(1), 5.
https://doi.org/10.1186/s12891-023-07172-0

• Gao, Z., Lin, Y., Wu, Z., Zhang, P., Cheng, Q., Ye, L., Wu, F., Chen, Y., Fu, M., Cheng, C., & Gao, Y. (2020). LncRNA SNHG6 can regulate the proliferation and apoptosis of rat degenerate nucleus pulposus cells via regulating the expression of miR-101-3p. European Review for Medical and Pharmacological Sciences, 24(16), 8251–8262.
https://doi.org/10.26355/eurrev_202008_22592

• Gao, Z., Lin, Y., Zhang, P., Cheng, Q., Ye, L., Wu, F., Chen, Y., Fu, M., Cheng, C., & Gao, Y. (2019). Sinomenine ameliorates intervertebral disc degeneration via inhibition of apoptosis and autophagy in vitro and in vivo. American Journal of Translational Research, 11(9), 5956–5966.
https://www.ajtr.org/files/ajtr0094769.pdf

Hanchen Zhou | Medicine and Health Sciences | Best Researcher Award

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Mr. Hanchen Zhou | Medicine and Health Sciences | Best Researcher Award

Beijing Stomatological Hospital Affiliated to Capital Medical University | China

Hanchen Zhou, a graduate student at Beijing Stomatological Hospital, Capital Medical University, is an emerging researcher specializing in Oral and Maxillofacial-Head and Neck Oncology, with a primary focus on oral squamous cell carcinoma. He has already distinguished himself by publishing four SCI-indexed research papers that contribute valuable insights into the molecular mechanisms, clinical behavior, and potential treatment strategies for this aggressive malignancy. These publications, cited internationally, reflect his growing influence in oncology research and his ability to translate clinical challenges into innovative scientific solutions. Zhou is actively engaged in funded research projects, including the Innovation Foundation and the Clinical Research Incubation Project of Beijing Stomatological Hospital, demonstrating his capacity to design and execute impactful investigations. A member of the Chinese Stomatological Association, he actively participates in academic collaboration and professional development, strengthening his role within the wider scientific community. Despite being in the early stages of his career, Zhou has already showcased a strong commitment to advancing cancer research, particularly in bridging experimental findings with clinical applications. His work not only enhances the understanding of oral squamous cell carcinoma but also paves the way for improved diagnostic and therapeutic approaches. By integrating scientific rigor with a clear vision for innovation, he exemplifies the qualities of a promising researcher poised for long-term impact.

Profile: Scopus | ResearchGate

Featured Publications

  • Yu, H., Li, B., Huang, Y., & Zhang, X. (2025). Prognosis of second primary oral squamous cell carcinoma after hematologic malignancy: A retrospective cohort analysis. Frontiers in Oncology, 15, Article 1667226. https://doi.org/10.3389/fonc.2025.1667226

  • Zhou, H., Luo, C., Xu, Q., & Wang, C. (2025). Machine learning approach to predict surgical site infection in head and neck squamous cell carcinoma patients after free flap reconstruction. Journal of Cranio-Maxillofacial Surgery. Advance online publication. https://doi.org/10.1016/j.jcms.2025.09.010

  • Cheng, A., Wei, K., Xu, Q., & Wang, C. (2025). The comparison of the prognostic value of different inflammation-related indicators in patients with oral squamous cell carcinoma. Frontiers in Genetics, 16, Article 1652603. https://doi.org/10.3389/fgene.2025.1652603

  • Li, B., Zhao, Z., Huang, Y., & Zhou, H. (2025). The application of adjuvant radiotherapy in pN1 OSCC patients without adverse pathologic features. Oral Diseases, 31(1), e15336. https://doi.org/10.1111/odi.15336