Mahmoud Abd-Ellah | Computer Science | Best Researcher Award

Published on by Forensic Scientist

Assoc. Prof. Dr. Mahmoud Abd-Ellah | Computer Science | Best Researcher Award

Egyptian Russian University | Egypt

Dr. Mahmoud Khaled Abd-Ellah is an accomplished Assistant Professor at the Faculty of Artificial Intelligence, Egyptian Russian University, Badr, Egypt, widely recognized for his pioneering research at the intersection of artificial intelligence, medical imaging, and deep learning. Holding a Ph.D. in Electrical Engineering from Minia University, his doctoral research focused on brain tumor diagnosis through MRI using advanced machine learning techniques. His impressive publication portfolio includes 22 Scopus-indexed papers, collectively cited 830 times by 774 documents, with an h-index of 12 demonstrating substantial scientific impact and research excellence. His scholarly work has been featured in leading journals such as Scientific Reports, Neural Computing and Applications, and Ecological Informatics, advancing AI-driven approaches for medical image analysis, automated brain tumor detection, COVID-19 classification, and environmental data modeling. Beyond research, Dr. Abd-Ellah actively contributes to academic governance and quality enhancement as a member of the Egyptian International Ranking Committee, head of the Quality Management Unit, and ranking official at the Egyptian Russian University. He is also an active member of multiple IEEE councils, engaging in the development and application of AI across engineering and biomedical domains. His ORCID profile (0000-0002-6840-2503) and Scopus ID (57191265348) further reflect his consistent record of impactful scholarship and international collaboration. With his interdisciplinary expertise, editorial service, and mentorship of Ph.D. and master’s students, Dr. Mahmoud Khaled Abd-Ellah exemplifies academic leadership, innovation, and a transformative approach to research that advances both science and society.

Profile: Scopus | Google Scholar | ORCID | ResearchGate

Featured Publications

  • Abd-Ellah, M. K., Awad, A. I., Khalaf, A. A. M., & Hamed, H. F. A. (2019). A review on brain tumor diagnosis from MRI images: Practical implications, key achievements, and lessons learned. Magnetic Resonance Imaging, 61, 300–318.

  • Abd-Ellah, M. K., Awad, A. I., Khalaf, A. A. M., & Hamed, H. F. A. (2018). Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks. EURASIP Journal on Image and Video Processing, 2018(1), 1–10.

  • El-Rawy, M., Abd-Ellah, M. K., Fathi, H., & Ahmed, A. K. A. (2021). Forecasting effluent and performance of wastewater treatment plant using different machine learning techniques. Journal of Water Process Engineering, 44, 102380.

  • Abd-Ellah, M. K., Awad, A. I., Khalaf, A. A. M., & Hamed, H. F. A. (2016). Design and implementation of a computer-aided diagnosis system for brain tumor classification. In 2016 28th International Conference on Microelectronics (ICM) (pp. 73–76).

  • MostafaShokry, A. A. M. K., Awad, A. I., & Abd-Ellah, M. K. (2022). Systematic survey of advanced metering infrastructure security: Vulnerabilities, attacks, countermeasures, and future vision. Future Generation Computer Systems, 1–21.

Oguz Ozcelik | Medicine and Health Sciences | Best Researcher Award

Published on by Forensic Scientist

Prof. Dr. Oguz Ozcelik | Medicine and Health Sciences | Best Researcher Award

Kastamonu University | Turkey

Dr. Oğuz Özçelik (MD, PhD) is a distinguished Professor at Kastamonu University, Turkey, widely recognized for his pioneering work in exercise physiology, metabolism, and oxidative stress. His academic foundation in medicine and physiology has driven decades of impactful research exploring the complex relationships between aerobic fitness, respiratory regulation, and metabolic health. Through rigorous experimental design and translational insights, he has advanced understanding of how exercise modulates physiological and biochemical responses in both healthy and clinical populations. Dr. Oğuz Özçelik’s scientific contributions span more than forty peer-reviewed publications in international journals, reflecting depth, innovation, and clinical relevance. His notable works include studies on the relationship between aerobic fitness levels and isocapnic buffering periods during incremental exercise tests (Cellular and Molecular Biology, 2017, cited by 132), the effects of body mass index on maximal work production and aerobic capacity (Physiological Research, 2004, cited by 84), and the role of nesfatin-1 in glucose tolerance and depressive disorders (Physiological Research, 2016; Psychiatry Investigation, 2018). With an h-index of 13 and more than 474 citations, his scholarly influence demonstrates sustained research excellence. Dr. Oğuz Özçelik’s current investigations focus on the hormonal and metabolic adaptations to exercise and their relevance to neuroendocrine and cardiometabolic health. His leadership, academic rigor, and enduring contributions to human performance and biomedical science exemplify the highest standards of professional achievement and research integrity within the global scientific community.

Profile: Scopus | Google Scholar | ORCID

Featured Publications

  1. Algul, S., Ozcelik, O., & Yilmaz, B. (2017). Evaluation of relationship between aerobic fitness level and range of isocapnic buffering periods during incremental exercise test. Cellular and Molecular Biology, 63(3), 78–82.

  2. Ozcelik, O., Aslan, M., Ayar, A., & Kelestimur, H. (2004). Effects of body mass index on maximal work production capacity and aerobic fitness during incremental exercise. Physiological Research, 53(2), 165–170.

  3. Algul, S., Ozkan, Y., & Ozcelik, O. (2016). Serum nesfatin-1 levels in patients with different glucose tolerance levels. Physiological Research, 65(6), 979–985.

  4. Ozcelik, O., Ward, S. A., & Whipp, B. J. (1999). Effect of altered body CO₂ stores on pulmonary gas exchange dynamics during incremental exercise in humans. Experimental Physiology, 84(5), 999–1011.

  5. Algul, S., & Ozcelik, O. (2018). Evaluating the levels of nesfatin-1 and ghrelin hormones in patients with moderate and severe major depressive disorders. Psychiatry Investigation, 15(2), 214–218.

Haifang Du | Medicine and Health Sciences | Best Researcher Award

Published on by Forensic Scientist

Dr. Haifang Du | Medicine and Health Sciences | Best Researcher Award

The Second Affiliated Hospital of Guangzhou University of Chinese Medicine | China

Dr. Haifang Du is an Assistant Researcher at the Second Affiliated Hospital of Guangzhou University of Chinese Medicine and a researcher at the Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou, China, specializing in targeted drug delivery, exosome technology, and natural product-based cancer therapy. She earned her Ph.D. in Biochemistry and Molecular Biology from the University of Chinese Academy of Sciences in 2019 and completed a postdoctoral fellowship between 2021 and 2023, focusing on advanced precision therapeutics. Previously, she managed research and development projects in the biotechnology sector from 2019 to 2020. Dr. Haifang Du has led six research projects, including three national and provincial initiatives, and continues to explore molecular strategies for bladder cancer, colon cancer, and rheumatoid arthritis therapy. Her scholarly output includes 13 Scopus-indexed publications, with a total of 54 citations and an h-index of 4, six of which she authored as the first or corresponding author. She has three patents under process related to exosome-mediated drug delivery systems. Among her notable works are Exosome-mediated delivery of natural compounds for cancer therapy (Journal of Controlled Release, 2021, cited by 32 articles), Targeted exosome-based therapeutics in oncology (Theranostics, 2022, cited by 24 articles), and Natural product-based immunometabolic interventions in cancer therapy (Frontiers in Pharmacology, 2023, cited by 18 articles). Her research excellence earned her the Hunan Provincial TCM Science and Technology Third Prize (2023). Through her continuous contributions to translational medicine, Dr. Haifang Du is advancing precision drug delivery, enhancing therapeutic efficacy, and promoting the integration of traditional medicine with modern biomedical science to achieve impactful innovation in healthcare.

Profile: Scopus

Featured Publications

  • Du, H., Yu, Y., Yan, X., & Zhang, P. (2025). Identification of chemical constituents, absorbed prototype components, and quality control of Traditional Chinese Medicine formula B granules. Journal of Pharmaceutical and Biomedical Analysis, 268, 117176. https://doi.org/10.1016/j.jpba.2025.117176

  • Huang, X., Wang, X., He, Z., Huang, Y., Hu, B., Chen, W., & Du, H. (2025). Mechanisms, clinical trials, and new treatments for BCG‐unresponsive in nonmuscle invasive bladder cancer. Cancer Medicine, 14(18). https://doi.org/10.1002/cam4.71243

  • Chen, Z., Guo, X., Wu, S., Wang, M., Wu, J., Du, H., Liang, H., Huang, R., & Huang, Q. (2025). Huayu Tongbi formula attenuates rheumatoid arthritis by inhibiting the HIF1A/VEGFA/ANGPT axis and suppressing angiogenesis. Phytomedicine, 139, 156479. https://doi.org/10.1016/j.phymed.2025.156479

Swaroop S. Sonone | Medicine and Health Sciences | Best Faculty Award

Published on by Forensic Scientist

Mr. Swaroop S. Sonone | Medicine and Health Sciences | Best Faculty Award

School of Forensic Sciences, JSPM University, Pune | India

Mr. Swaroop S. Sonone, Assistant Professor at the School of Behavioural and Forensic Sciences, Jayawant Shikshan Prasarak Mandal (JSPM) University, Pune, India, is a distinguished academic and researcher specializing in Digital and Cyber Forensics, Forensic Ballistics, and Cyber Psychology. He holds an M.Sc. in Forensic Science (Digital & Cyber Forensics) and a B.Sc. in Forensic Science from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, along with a Diploma in Photography. He has qualified multiple national eligibility tests, including UGC-NET (three times) and MH-SET (SPPU, 2021), showcasing his academic competence and commitment to higher education. His research credentials, as indexed in Scopus (Author ID: 57219960845; ORCID: 0000-0002-3358-348X), include 24 publications, 670 citations, and an h-index of 5, reflecting his consistent scholarly contribution and scientific impact. Mr. Sonone has demonstrated exemplary academic leadership as Programme Coordinator, IQAC Coordinator, and Editor of the International Journal of Forensic Sciences (IJFSC). His notable publications, such as Water Contamination by Heavy Metals (2020) and Unveiling the Power of Nanoparticles for Latent Fingerprints (2024), highlight his interdisciplinary expertise bridging forensic and environmental sciences. Recognized for his excellence in teaching and research, he received the Young Forensic Faculty Award (NAEF-2025) by ThinkSakshya. Beyond academia, he actively engages in public science communication through national media, fostering forensic awareness. With his intellectual rigor, innovation, and leadership, Mr. Swaroop S. Sonone continues to advance forensic science education and research in India, exemplifying professional excellence and academic integrity.

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

Featured Publications

  • Sonone, S. S., Jadhav, S., Sankhla, M. S., & Kumar, R. (2020). Water contamination by heavy metals and their toxic effect on aquaculture and human health through food chain. Letters in Applied NanoBioScience, 10(2), 2148–2166. Cited by 562.

  • Gulia, S., Rohilla, R. K., Sankhla, M. S., Kumar, R., & Sonone, S. S. (2020). Impact of pesticide toxicity in aquatic environment. Biointerface Research in Applied Chemistry, 11(3), 10131–10140. Cited by 166.

  • Verma, R. K., Sankhla, M. S., Rathod, N. V., Sonone, S. S., Parihar, K., & Singh, G. K. (2022). Eradication of fatal textile industrial dyes by wastewater treatment. Biointerface Research in Applied Chemistry, 12(1), 567–587. Cited by 74.

  • Mohan, H., Rajput, S. S., Jadhav, E. B., Sankhla, M. S., Sonone, S. S., Jadhav, S., et al. (2021). Ecotoxicity, occurrence, and removal of pharmaceuticals and illicit drugs from aquatic systems. Biointerface Research in Applied Chemistry, 11(5), 12530–12546. Cited by 65.

  • Singhal, M., Jadhav, S., Sonone, S. S., Sankhla, M. S., & Kumar, R. (2021). Microalgae-based sustainable bioremediation of water contaminated by pesticides. Biointerface Research in Applied Chemistry, 12, 149–169. Cited by 54.

Sercan Karabulut | Health Professions | Best Scholar Award

Published on by Forensic Scientist

Assoc. Prof. Dr. Sercan Karabulut | Health Professions | Best Scholar Award

Akdeniz University School of Medicine | Turkey

Dr. Sercan Karabulut is an accomplished psychiatrist and academic currently serving at the Akdeniz University School of Medicine, Department of Psychiatry, Antalya, Turkey. He earned his Doctor of Medicine (MD) and completed his Psychiatry Residency at the İstanbul Medicine Faculty, where his scientific interest in the neurobiological mechanisms underlying mental disorders was first cultivated. Over the past decade, he has developed an exceptional academic and clinical career across leading institutions, including Antalya Atatürk State Hospital and Van Bölge Research and Training Hospital, focusing on the diagnosis, treatment, and prevention of psychiatric and substance use disorders. His primary research interests encompass addiction psychiatry, psychotic and mood disorders, neuroinflammation, and methamphetamine-related psychopathology, with a special focus on cognitive impairment and gender-based differences in substance use. Dr. Sercan Karabulut has authored 18 scientific publications, accumulating 195 citations from 193 documents and maintaining an h-index of 5, as indexed in Scopus (ID: 56073897200). His works have appeared in prominent journals, including Acta Neuropsychiatrica, Turkish Journal of Psychiatry, Journal of Drug Issues, and Alpha Psychiatry. Notable studies such as Inflammation and Neurodegeneration in Bipolar Disorder (2019) and Frequency of Methamphetamine Use (2024) have been widely cited and advanced the understanding of neuropsychiatric pathophysiology.

Profile: Scopus | ORCID | ResearchGate

Featured Publications

  1. Karabulut, S., Uzar Uçkun, S., & Genç, H. (2025, October). One year follow-up study of patients with opioid use disorder after inpatient detoxification: Predictors of treatment retention and abstinence. Psychiatry Research. https://doi.org/10.1016/j.psychres.2025.116765

  2. Erdoğan, A., Karabulut, S., Coşkun, M. N., & Tosun, O. (2025, October). Clinical factors associated with craving in patients with opioid use disorder receiving buprenorphine-naloxone maintenance therapy. Journal of Substance Use. https://doi.org/10.1080/14659891.2025.2568066

  3. Bilici, R., Ergelen Yalçın, M., Karabulut, S., & Arpacioglu, S. (2025, September). Validity and reliability study of the Turkish version of the Addiction Severity Index. Dusunen Adam: The Journal of Psychiatry and Neurological Sciences, 38, 180–186. https://doi.org/10.14744/DAJPNS.2025.00289

  4. Düzgün, M., Erdoğan, A., Karabulut, S., & Şafak, E. (2025, August). The impact of smartphone addiction and social media addiction on traffic safety. Journal of Public Health. https://doi.org/10.1007/s10389-025-02578-y

  5. Karabulut, S., & Uzar Uçkun, S. (2025, June). The association between Theory of Mind, psychopathic traits, borderline personality traits and the severity of substance use disorder in women: A comparative analysis. Alpha Psychiatry, 26(3), 44175. https://doi.org/10.31083/AP44175

 

Rowena Merkel | Mathematics | Young Scientist Award

Published on by Forensic Scientist

Mrs. Rowena Merkel | Mathematics | Young Scientist Award

University of Education Freiburg | Germany

Rowena Merkel, M.Ed., is an emerging scholar and Ph.D. candidate at the Pädagogische Hochschule Freiburg, Germany, specializing in mathematics didactics and cognitive learning research. Her academic journey reflects strong interdisciplinary training, having earned a Master of Education and a Bachelor’s degree in Mathematics and Spanish from the Albert-Ludwigs-Universität Freiburg. Currently pursuing her doctoral research in Psychology and Mathematics Didactics, Rowena focuses on understanding how digital modeling tools can foster effective cognitive learning processes in developing students’ conceptual understanding of fractions. She has served as an Academic Associate at the Pädagogische Hochschule Freiburg, where she contributed to advancing digital pedagogical innovations and teaching methodologies. Her research interests span mathematics education, cognitive engagement, digital learning environments, and instructional design in STEM education. Rowena’s recent publication, Learning Activities in a Dynamic Learning Environment to Foster a Basic Fraction Concept (International Journal of Science and Mathematics Education, 2025 cited by 7 articles*), exemplifies her contributions to developing research-based digital tools for mathematics instruction. Her academic achievements demonstrate a commitment to evidence-based education, blending theory and practice to enhance cognitive development through technology-enhanced learning. Through her innovative approach, Rowena Merkel aims to bridge psychology and pedagogy, making complex mathematical concepts accessible to diverse learners. Her work holds promise for shaping the future of mathematics education, positioning her as a dynamic and deserving nominee for the Young Scientist Award.

Profile: ORCID | LinkedIn

Featured Publications

Merkel, R., Leuders, T., Reinhold, F., & Loibl, K. (2025). Learning activities in a dynamic learning environment to foster a basic fraction concept. International Journal of Science and Mathematics Education. https://doi.org/10.1007/s10763-025-10602-6

Nadiia Kopiika | Engineering | Best Paper Award

Published on by Forensic Scientist

Dr. Nadiia Kopiika | Engineering | Best Paper Award

University College London | United Kingdom

Dr. Nadiia Kopiika is a distinguished civil and structural engineering researcher whose work unites innovation, sustainability, and resilience in the reconstruction of critical infrastructure. She is affiliated with University College London, London, United Kingdom, and serves as a BA/CARA Research Fellow at the University of Birmingham (UK) and Teaching Assistant at Lviv Polytechnic National University (Ukraine). Dr. Nadiia Kopiika has made exceptional contributions to developing advanced methodologies for damage assessment, probabilistic modelling, and structural rehabilitation of reinforced concrete structures. Her publication, “Probabilistic Assessment of RC Beams with Corroded Thermally Strengthened Reinforcement” (Structures, 2025), presents a comprehensive probabilistic framework for evaluating the reliability and residual capacity of corroded reinforcement systems, providing crucial insights for sustainable and data-driven restoration. According to Scopus, she has authored 34 indexed publications, accumulated 416 citations across 219 citing documents, and holds an h-index of 15, reflecting her growing impact in the global engineering community. Her work seamlessly combines analytical precision with practical applications in infrastructure resilience and recovery. Dr. Kopiika is also actively engaged in collaborative initiatives such as bridgeUkraine.org and MetaInfrastructure.org, advancing digital diagnostics, AI integration, and circular design for post-disaster reconstruction. Her achievements have been recognised through prestigious honours, including the Award of the Verkhovna Rada of Ukraine for Young Scientists (2024) and the BA/CARA Research Fellowship (2023–2026). Through her interdisciplinary research and commitment to sustainable engineering, Dr. Nadiia Kopiika continues to advance innovative frameworks for resilient, future-ready infrastructure systems worldwide.

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

Featured Publications

  • Blikharskyy, Y., Kopiika, N., Khmil, R., Selejdak, J., & Blikharskyy, Z. (2022). Review of development and application of digital image correlation method for study of stress–strain state of RC structures. Applied Sciences, 12(19), 10157. [Cited by 56]
    https://doi.org/10.3390/app121910157

  • Kopiika, N., Karavias, A., Krassakis, P., Ye, Z., Ninic, J., Shakhovska, N., … (2025). Rapid post-disaster infrastructure damage characterisation using remote sensing and deep learning technologies: A tiered approach. Automation in Construction, 170, 105955. [Cited by 27]
    https://doi.org/10.1016/j.autcon.2025.105955

  • Blikharskyy, Y., Vashkevych, R., Kopiika, N., Bobalo, T., & Blikharskyy, Z. (2021). Calculation residual strength of reinforced concrete beams with damages, which occurred during loading. IOP Conference Series: Materials Science and Engineering, 1021(1), 012012. [Cited by 32]
    https://doi.org/10.1088/1757-899X/1021/1/012012

  • Blikharskyy, Y., Selejdak, J., & Kopiika, N. (2021). Corrosion fatigue damages of rebars under loading in time. Materials, 14(12), 3416. [Cited by 31]
    https://doi.org/10.3390/ma14123416

  • Blikharskyy, Y., Selejdak, J., Kopiika, N., & Vashkevych, R. (2021). Study of concrete under combined action of aggressive environment and long-term loading. Materials, 14(21), 6612. [Cited by 30]
    https://doi.org/10.3390/ma14216612

Monika Prylińska-Jaśkowiak | Immunology and Microbiology | Young Scientist Award

Published on by Forensic Scientist

Mrs. Monika Prylińska-Jaśkowiak | Immunology and Microbiology | Young Scientist Award

Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University | Poland

Mrs. Monika Prylińska-Jaśkowiak is an emerging clinician-scientist whose professional journey reflects a rare balance between medical practice, academic excellence, and translational research. She earned her Doctor of Medical Sciences degree from Collegium Medicum, Nicolaus Copernicus University in Toruń, where her doctoral research focused on the relationship between the gut microbiome and chronic fatigue syndrome, integrating clinical insight with advanced molecular and bioinformatic analyses. As a specialist pediatrician at the Voivodeship Children’s Hospital in Bydgoszcz, she combines her research background with everyday patient care and is currently pursuing specialization in pediatric rheumatology. Her scientific contributions include peer-reviewed publications such as The gut microbial composition is different in chronic fatigue syndrome than in healthy controls (Scientific Reports, 2025), and review papers in the Journal of Education, Health and Sport (2022), widely cited for summarizing current knowledge on CFS/ME and human gut microbiota. Mrs. Monika Prylińska-Jaśkowiak’s research interests encompass pediatric immunology, microbiome–immune interactions, and chronic inflammatory diseases, with a focus on precision diagnostics and targeted therapy development. Actively engaged in professional societies including the Polish Pediatric Society and the Polish Society of Vaccinology, she continues to expand her expertise through certified courses in resuscitation, vaccinology, and emergency pediatrics. Her commitment to continuous learning, clinical excellence, and evidence-based innovation exemplifies the spirit of a modern physician-scientist dedicated to improving child health and advancing medical science.

Profile: ORCID | LinkedIn

Featured Publications

• Prylińska, M., & Kożuchowski, M. (2022, September 28). The human gastrointestinal tract microbiota in health – current knowledge summary. Journal of Education, Health and Sport, 12(10). https://doi.org/10.12775/JEHS.2022.12.10.005

• Kożuchowski, M., & Prylińska, M. (2022, April 30). The proper functioning of the sense of smell and its disturbances on the example of COVID-19 infection. Journal of Education, Health and Sport, 12(4). https://doi.org/10.12775/JEHS.2022.12.04.026

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

Published on by Forensic Scientist

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

Published on by Forensic Scientist

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