Dayu Jia | Big Data Management | Best Researcher Award

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Mr. Dayu Jia | Big Data Management | Best Researcher Award

Associate Professor | Liaoning University | China

Dr. Jia Dayu is an Associate Professor and Master’s Supervisor at the School of Information Science, Liaoning University. He completed his Ph.D. in Computer Science at Northeastern University under the guidance of Prof. Wang Guoren and further gained international experience as a joint Ph.D. student at the National University of Singapore under Prof. Ooi Beng Chin. He also worked as a postdoctoral fellow at the School of Information Science and Engineering, Northeastern University. Dr. Jia has been actively involved in national, provincial, and ministerial research projects and has collaborated on international research initiatives. His research focuses on big data management, blockchain data analysis, and artificial intelligence, with expertise in scalable storage, secure data retrieval, and privacy-preserving techniques. He has published 21 high-quality papers in reputed journals and conferences, including Q1 journals such as Advanced Materials and Light: Science & Applications, and has served as the first or corresponding author on 12 publications in prestigious venues like JCST, WWW, and Software Journal. Dr. Jia has also been granted 13 national invention patents, demonstrating his innovative contributions, and has hosted or participated in six funded research projects. His skills include blockchain architecture design, data analytics, AI-driven optimization, and secure distributed systems. His work has earned recognition with 176 citations by 14 documents and an h-index of 5, reflecting the impact and relevance of his research in the academic community.

Profile : Scopus 

Featured Publication

1. Jia, D., Hu, Y., Huang, M., Zhang, J., He, G., Xu, S., Liu, S., & Wang, X. (2025). Security risks and solutions of concurrent PBFT. Expert Systems with Applications, 294, 128737.

Sakshi Dua | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Sakshi Dua | Engineering | Best Researcher Award

Associate Professor | Lovely Professional University | India

Dr. Sakshi Dua is an accomplished academic and researcher currently serving as Associate Professor at the School of Computer Applications, Lovely Professional University, Jalandhar-Phagwara, Punjab, India. She holds a Ph.D. in Computer Science and has over 14 years of professional experience as Assistant Professor before her current role. Her research interests span artificial intelligence, Internet of Things, Arduino, machine learning, fuzzy systems, network operating systems, and database management systems. She has contributed as Guest Editor for reputed ABDC and Scopus-indexed journals, authored book chapters with CRC Press, Taylor & Francis, and IGI Global, and is actively involved in book editorial projects with CRC Press and Emerald. She has published widely in SCIE, Scopus, ABDC, and UGC-indexed journals, as well as in IEEE and Springer conferences, and has presented her research internationally. Her contributions extend to applied innovation with patents and copyrights in diverse areas such as smart healthcare, ICT, and IoT-based solutions. She has chaired sessions at IEEE conferences, delivered workshops and FDPs, and guided students through impactful academic and research projects. Her skills include advanced data analysis, algorithm design, applied AI and IoT development, research writing, and academic leadership. Dr. Sakshi Dua has earned recognition through her impactful scholarly work, editorial leadership, and strong community engagement. She has received 71 citations by 9 documents with an h-index of 1.

Profile :  Scopus

Featured Publication

1. Dua, S. (2025). Blockchain-based node authentication algorithm for securing electronic health record data transmission.

Jaime Martinez Valderrama | Land Use Planning | Best Researcher Award

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Dr. Jaime Martinez Valderrama | Land Use Planning | Best Researcher Award

Tenured Scientist | Estación Experimental de Zonas Áridas (EEZA-CSIC) | Spain 

Dr. Jaime Martínez Valderrama is a tenured scientist at the Estación Experimental de Zonas Áridas, CSIC, Spain, with expertise in land degradation, desertification, and sustainable dryland management. He earned his PhD in Agricultural Economics and Social Sciences from the Universidad Politécnica de Madrid, where his doctoral work focused on modeling agricultural systems in fragile environments. His professional experience spans over two decades, including leadership in national and international research projects such as the Atlas of Desertification of Spain, collaborations with the Chinese Academy of Sciences, and European initiatives addressing global change in drylands. He has worked extensively on integrating ecological and socioeconomic models to guide environmental policy, advised government ministries and regional agencies, and engaged in consultancy for private sector sustainability projects. His research interests include desertification risk assessment, climate change adaptation, land use planning, and the socio-ecological dynamics of drylands, with strong emphasis on linking science and policy. He is also active in science communication through books, blogs, and contributions to popular science platforms, reflecting his commitment to connecting research with society. His skills include integrated modeling, ecological risk analysis, sustainability assessment, and interdisciplinary approaches to land management, supported by a robust record of publications in high-impact journals such as Science, Nature Sustainability, and Science of the Total Environment. He has received recognition for his contributions to sustainable land management and continues to expand international collaborations. His academic impact is reflected in 1,257 citations by 64 documents with an h-index of 20.

Profiles : ORCID | Scopus | Google Scholar

Featured Publications

1. Maestre, F. T., Le Bagousse-Pinguet, Y., Delgado-Baquerizo, M., Eldridge, D. J., … (2022). Grazing and ecosystem service delivery in global drylands. Science, 378(6622), 915–920.

2. Ibáñez, J., Martínez, J., & Schnabel, S. (2007). Desertification due to overgrazing in a dynamic commercial livestock–grass–soil system. Ecological Modelling, 205(3), 277–288.

3. Ibáñez, J., Valderrama, J. M., & Puigdefábregas, J. (2008). Assessing desertification risk using system stability condition analysis. Ecological Modelling, 213(2), 180–190.

4. Hirche, A., Salamani, M., Abdellaoui, A., Benhouhou, S., & Valderrama, J. M. (2011). Landscape changes of desertification in arid areas: The case of south-west Algeria. Environmental Monitoring and Assessment, 179(1), 403–420.

5.Martínez-Valderrama, J., Ibáñez, J., Del Barrio, G., Sanjuán, M. E., Alcalá, F. J., … (2016). Present and future of desertification in Spain: Implementation of a surveillance system to prevent land degradation. Science of the Total Environment, 563, 169–178.

Gamal Khater | Environmental Science | Best Researcher Award

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Prof. Dr. Gamal Khater | Environmental Science | Best Researcher Award

Professor | National Research Centre | Egypt

Prof. Dr. Gamal Khater is a distinguished researcher specializing in applied mineralogy, glass technology, and ceramic materials. He completed his B.Sc. in Geology and Chemistry from Mansoura University, followed by M.Sc. and Ph.D. degrees in Geology from Ain Shams University. He has extensive professional experience as a professor emeritus at the National Research Centre, with prior roles including technical expertise and consultancy in Saudi Arabia, executive advisor positions, and industrial project leadership. His research interests focus on glass-ceramics, industrial waste valorization, dental and bioactive glasses, refractory ceramics, and radiation shielding applications, integrating both academic and industrial applications. He has been recognized with multiple awards, including national and international honors for research excellence, environmental management, and innovation, and holds patents related to high-performance basaltic glass and industrial glass marble production. He has supervised numerous Ph.D. and M.Sc. theses, contributed to international collaborations, and actively participates in professional societies such as the Mineralogical Society of Egypt and the Egyptian Geological Society. His research skill set includes materials characterization, crystallization studies, thermal and electrical property evaluation, and development of sustainable industrial applications from natural and industrial wastes. His work has achieved 1,163 citations by 896 documents, with 58 h-index and 20 documents, reflecting a high level of impact and international recognition in his field.

Profiles : ORCID | Scopus

Featured Publications

1. Khater, G. A., Abu Safiah, M. O., & Hamzawy, E. M. A. (2015). Augite-anorthite glass-ceramics from residues of basalt quarry and ceramic wastes. Processing and Application of Ceramics.

2. Khater, G. A., & Morsi, M. M. (2011). Glass-ceramics based on spodumene-enstatite system from natural raw materials. Thermochimica Acta.

3. Khater, G. A. (2010). Diopside-anorthite-wollastonite glass-ceramics based on waste from granite quarries. Glass Technology: European Journal of Glass Science and Technology Part A.

4. Khater, G. A. (2010). Glass-ceramics in the CaO-MgO-Al2O3-SiO2 system based on industrial waste materials. Journal of Non-Crystalline Solids.

5. Khater, G. A., & Idris, M. H. (2009). Effect of some nucleating agents on crystallizing phases and microstructure in Li2O-BaO-Al2O3-SiO2 system. Ceramics International.

Hatice Sena Cinarli | Physiotherapy | Best Researcher Award

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Assist. Prof. Dr. Hatice Sena Cinarli | Physiotherapy | Best Researcher Award

Assistant Professor | kocaeli Health and Technology University | Turkey 

Dr. Hatice Sena Çınarlı is an Assistant Professor of Physiotherapy and Rehabilitation at Kocaeli University of Health and Technology, where she also serves as Vice Dean of the Faculty of Health Sciences. She completed her BSc in Physiotherapy and Rehabilitation at Ege University, MSc in Cardiopulmonary Physiotherapy at Dokuz Eylül University, and PhD in Physiotherapy and Rehabilitation at İnönü University with a thesis on thoracolumbar fascia release and pulmonary function in stroke patients. Her professional experience includes teaching a wide range of courses such as cardiopulmonary rehabilitation, orthopedic rehabilitation, kinesiology, neurophysiological approaches, and ethics in physiotherapy, while actively contributing to administrative and academic leadership. Her research interests cover cardiopulmonary rehabilitation, neurophysiological rehabilitation, functional assessment, exercise-based interventions, disability care, and the integration of artificial intelligence and technology in rehabilitation practices. She has published several articles in international peer-reviewed and Scopus-indexed journals, authored book chapters, and presented research at global conferences. Recognized for her scholarly contributions, she is actively involved in collaborative research and community-oriented projects. Her research skills include designing and conducting clinical trials, applying physiotherapy evaluation methods, developing innovative rehabilitation protocols, and analyzing patient outcomes with evidence-based approaches. Through her academic achievements, research productivity, and leadership, she continues to advance physiotherapy and rehabilitation sciences while contributing significantly to both patient care and scientific knowledge.

Profile: ORCID

Featured Publication

1. Çınarlı, H. S., Tokgöz, G., Akyol, B., Aygören, C., Beykümül, A., Larsen, M. N., Krustrup, P., França, C., Gouveia, É. R., & Çınarlı, F. S. (2025). Associations between pulmonary function and muscle strength in Turkish national karate athletes. Journal of Clinical Medicine, 14(18), 6370.

Jun Peng | Big Data Analysis | Best Researcher Award

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Prof. Jun Peng | Big Data Analysis | Best Researcher Award

Professor | Ningbo University | China

Prof. Jun Peng is a distinguished scholar in the field of educational technology with expertise in big data in education, artificial intelligence in learning, blended learning, and curriculum design. He earned his PhD in Education from the University of Hong Kong and has built a strong academic career through teaching, research, and international collaborations. Currently serving as a professor and doctoral supervisor at Ningbo University, he has also contributed to the University of Hong Kong and the City University of Macau in research and teaching capacities. His professional experience includes leading several funded projects across China and Macau, with a focus on AI integration in education and innovative digital learning models. His research interests span online learning environments, project-based education, and sustainable approaches to technology-enhanced learning, reflected in numerous publications in leading SSCI, SCI, and Scopus-indexed journals such as Computers & Education, Education and Information Technologies, and Sustainability. Recognized with multiple commendations for research excellence, he has also received awards for educational innovation and course design. Prof. Peng is active in academic service as an editorial board member, peer reviewer for reputed journals, and keynote speaker at international conferences. His research skills include quantitative and qualitative analysis, big data applications, machine learning for education, and curriculum development. With a proven record of impactful research, leadership, and mentoring, he continues to advance the field of educational technology while contributing to the global academic community.

Profile: ORCID

Featured Publications

1.Shu, X., Peng, J., & Wang, G. (2023). Deciding alone or with others: Employment anxiety and social distance predict intuitiveness in career decision making. International Journal of Environmental Research and Public Health, 20(2), 1484.
2. Su, B., & Peng, J. (2023). Sentiment analysis of comment texts on online courses based on hierarchical attention mechanism. Applied Sciences, 13(7), 4204.
3. Zhou, J., Ran, F., Li, G., Peng, J., Li, K., & Wang, Z. (2022). Classroom learning status assessment based on deep learning. Mathematical Problems in Engineering, 2022, 7049458.
4. Peng, J., Yuan, B., Sun, M., Jiang, M., & Wang, M. (2022). Computer-based scaffolding for sustainable project-based learning: Impact on high- and low-achieving students. Sustainability, 14(19), 12907.
5. Li, Y., & Peng, J. (2022). Evaluation of expressive arts therapy on the resilience of university students in COVID-19: A network analysis approach. International Journal of Environmental Research and Public Health, 19(13), 7658.

Venus Haghighi | Computer Science | Best Researcher Award

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Mrs. Venus Haghighi | Computer Science | Best Researcher Award

Research Associate | Macquarie University | Australia

Mrs. Venus Haghighi is a final-year PhD candidate in Computer Science at Macquarie University, Sydney, focusing on artificial intelligence, data science, and graph learning techniques for fraud detection in complex networks. She holds a master’s degree in Computer Engineering from Isfahan University of Technology, where she worked on mobile cloud computing, and a bachelor’s degree in Computer Engineering from Shahid Bahonar University of Kerman, where she researched AES cryptography. Her professional experience includes serving as a data science researcher at the Intelligent Computing Laboratory, where she develops advanced graph neural networks, hypergraph models, and large language model enhanced frameworks for detecting camouflaged malicious actors. She has also contributed as a sessional teaching associate in both the School of Computing and the Business School at Macquarie University, teaching subjects such as cybersecurity, data science, and information systems. Her research interests span graph neural networks, hypergraph learning, graph transformer networks, graph representation learning, and the integration of LLMs with graph-based methods for real-world applications. She has published in leading venues such as IEEE ICDM, ACM WSDM, ACM CIKM, IJCAI, and ACM Web Conference, along with journal contributions in IEEE Transactions and IEEE Access. Her achievements include the Google Conference Travel Grant, HDR Research Rising Star Award, 3MT Thesis Competition recognition, DF-CRC PhD Top-Up Scholarship, and the Pro-Vice Chancellor Research Excellence Scholarship. She is skilled in Python, PyTorch, PyTorch Geometric, Deep Graph Library, data visualization, and advanced AI model design. Her research impact is evidenced by 150 citations across 13 documents with an h-index of 4.

Profile: Google Scholar

Featured Publications

1. Soltani, B., Haghighi, V., Mahmood, A., Sheng, Q. Z., & Yao, L. (2022). A survey on participant selection for federated learning in mobile networks. Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet Architecture (MobiArch).

2. Haghighi, V., & Moayedian, N. S. (2018). An offloading strategy in mobile cloud computing considering energy and delay constraints. IEEE Access, 6, 11849–11861.

3. Shabani, N., Wu, J., Beheshti, A., Sheng, Q. Z., Foo, J., Haghighi, V., Hanif, A., & … (2024). A comprehensive survey on graph summarization with graph neural networks. IEEE Transactions on Artificial Intelligence, 5(8), 3780–3800.

4. Soltani, B., Zhou, Y., Haghighi, V., & Lui, J. (2023). A survey of federated evaluation in federated learning. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI).

5. Shabani, N., Beheshti, A., Jolfaei, A., Wu, J., Haghighi, V., Najafabadi, M. K., & Foo, J. (2024). Attention-based graph summarization for large-scale information retrieval. IEEE Transactions on Consumer Electronics, 70(3), 6224–6235.

Nashwa Amin | Medicine and Health Sciences | Best Researcher Award

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Dr. Nashwa Amin | Medicine and Health Sciences | Best Researcher Award

Postdoctoral Fellow | Aswan University | Egypt

Dr. Nashwa Amin candidate is an experienced academic with over fourteen years of teaching and research in zoology, cell biology, and neuroscience, with appointments at Aswan University, Egypt, and Zhejiang University, China. Their educational background includes a PhD in cell biology from Zhejiang University, an MSc in zoology, and a BSc with honors in science from Aswan University. Professionally, they have served as a lecturer, assistant lecturer, postdoctoral research associate, and research fellow, contributing to both teaching and advanced research in neuroscience and neurodegenerative diseases. Their research interests focus on developing new therapeutic strategies for ischemic stroke, depression, and other neurological disorders, with emphasis on neuroprotective mechanisms and translational medicine. They have actively contributed to national and international research projects funded by the National Natural Science Foundation of China and have published widely in high-impact, peer-reviewed journals indexed in Scopus and Web of Science. Recognized with scientific publishing awards from Aswan University, the candidate has also demonstrated strong research skills in both in vivo and in vitro experimental models, molecular and cellular techniques, and advanced neurobehavioral analysis. With a solid track record of academic service, mentorship, and community involvement, they continue to make meaningful contributions to science and higher education. The research profile further reflects measurable impact, with 310 citations by 299 documents, 21 publications, and an h-index of 12.

Profiles: ORCID | Scopus

Featured Publications

1.  Amin, N., Wu, F., Zhao, B.-X., Shi, Z., Abdelsadik, A., Younis, A. E., Abbasi, I. N., Sundus, J., Hussein, A. B., Geng, Y., & others. (2025). Hif-1α ablation reduces the efficiency of NeuroD1 gene-based therapy and aggravates the brain damage following ischemic stroke. Expert Opinion on Drug Delivery.

2. Fang, Z., Shen, G., Lou, C., Botchway, B. O. A., Lu, Q., Yang, Q., & Amin, N. (2024). Neuroprotective effect of triptolide on neuronal inflammation in rats with mild brain injury. IBRO Neuroscience Reports.

3. Wang, Y., Fang, M., Ren, Q., Qi, W., Bai, X., Amin, N., Zhang, X., Li, Z., & Zhang, L. (2024). Sox17 protects human brain microvascular endothelial cells from AngII-induced injury by regulating autophagy and apoptosis. Molecular and Cellular Biochemistry.

4. Amin, N., Abbasi, I. N., Wu, F., Shi, Z., Sundus, J., Badry, A., Yuan, X., Zhao, B.-X., Pan, J., Mi, X.-D., & others. (2024). The Janus face of HIF-1α in ischemic stroke and the possible associated pathways. Neurochemistry International.

5. Zhao, B., Zhang, S., Amin, N., Pan, J., Wu, F., Shen, G., Tan, M., Shi, Z., & Geng, Y. (2024). Thymoquinone regulates microglial M1/M2 polarization after cerebral ischemia-reperfusion injury via the TLR4 signaling pathway. NeuroToxicology.

Mahbubeh Tangestani | Monitoring Environmental contaminants | Breakthrough Research Award

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Ms. Mahbubeh Tangestani | Monitoring Environmental contaminants | Breakthrough Research Award

Researcher | Addiction and Lifestyle Research Center of Bushehr University | Iran

Ms.  Mahbubeh Tangestani is an Iranian researcher in Environmental Health Engineering with strong expertise in air pollution, human biomonitoring, exposure assessment, and environmental epidemiology. She completed her Master of Science in Environmental Health Engineering at Iran University of Medical Sciences with top academic ranking, and her Bachelor degree in the same field at Bushehr University of Medical Sciences, both with outstanding GPAs. Her professional experience includes roles as a process engineer in wastewater treatment plant design, an environmental health auditor, and currently as an environmental health assessor at the Addiction and Lifestyle Research Center of Bushehr University of Medical Sciences. Her research interests focus on indoor and outdoor air quality, risk assessment, air pollution modeling, and health impact assessment, with publications in high-impact journals such as Scientific Reports, Journal of Hazardous Materials Advances, Environmental Research, and Marine Pollution Bulletin. She has presented her work at national and international conferences and has contributed to collaborative studies addressing environmental pollutants, microplastics, fluoride exposure, and bioaerosols in healthcare settings. She has received several honors including recognition as a distinguished student and selected researcher at Bushehr University of Medical Sciences, and she has played a leadership role as a founding board member of the Environmental Health Association at Iran University of Medical Sciences. Her technical expertise spans laboratory analysis, exposure monitoring, microbial culture, data modeling, and risk analysis, supported by proficiency in specialized software and project management. She has 442 citations by 340 documents, 17 publications, and an h-index of 6.

Profiles : Google Scholar | ORCID | Scopus

Featured Publications

1.Akhbarizadeh, R., Dobaradaran, S., Nabipour, I., Tangestani, M., Abedi, D., & … (2021). Abandoned Covid-19 personal protective equipment along the Bushehr shores, the Persian Gulf: An emerging source of secondary microplastics in coastlines. Marine Pollution Bulletin, 168, 112386.

2.De-la-Torre, G. E., Dioses-Salinas, D. C., Dobaradaran, S., Spitz, J., Nabipour, I., & … (2022). Release of phthalate esters (PAEs) and microplastics (MPs) from face masks and gloves during the COVID-19 pandemic. Environmental Research, 215, 114337.

3.Dobaradaran, S., Akhbarizadeh, R., Mohammadi, M. J., Izadi, A., Keshtkar, M., & … (2020). Determination of phthalates in bottled milk by a modified nano adsorbent: Presence, effects of fat and storage time, and implications for human health. Microchemical Journal, 159, 105516.

4.Tangestani, M., Naeimi, B., Dobaradaran, S., Keshtkar, M., Salehpour, P., & … (2022). Biosorption of fluoride from aqueous solutions by Rhizopus oryzae: Isotherm and kinetic evaluation. Environmental Progress & Sustainable Energy, 41(1), e13725.

5.Jamali, M., Dobaradaran, S., Mahvi, A. H., Raeisi, A., Tangestani, M., Saeed, R., & … (2020). Assessing the non-carcinogenic risk due to the intake of fluoride from fruit juice available in the market in Bushehr. Fluoride, 53(1), 136–153.

Reihaneh Sadeghian | Neuroscience | Best Researcher Award

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Assist. Prof. Dr. Reihaneh Sadeghian | Neuroscience | Best Researcher Award

Assistant Professor of Physiology | Kerman University of Medical Sciences | Iran

Dr. Reihaneh Sadeghian is an accomplished researcher and Assistant Professor of Neurophysiology at Kerman University of Medical Sciences, specializing in neurophysiology, pharmacology, and translational medicine. She completed her academic journey with a PhD in Neurophysiology from Hamadan University of Medical Sciences, building on her strong foundation in physiology and medical sciences. With extensive teaching and mentoring experience, she has supervised numerous MD and postgraduate theses while contributing to the advancement of medical education. Her professional career includes significant roles in both research and academia, where she has collaborated on national and international projects such as global burden of disease studies. Her research interests focus on addiction, neurodegenerative diseases, oxidative stress, diabetes, exercise physiology, and the development of novel therapeutic strategies, often integrating molecular biology and clinical applications. She has published nearly 50 peer-reviewed articles in reputed journals like The Lancet, Heliyon, Talanta, and Biomedicine & Pharmacotherapy, many indexed in Scopus and Web of Science, and has actively presented her work in international conferences. Dr. Sadeghian is a member of professional societies including IBRO, the Iranian Neuroscience Society, and the Iranian Society of Physiology and Pharmacology, and has been recognized for her contributions to scientific research and academic service. Her research skills include animal modeling, molecular and biochemical analysis, clinical collaborations, and interdisciplinary integration of neuroscience with pharmacology and medical technology. She has demonstrated strong leadership in guiding young researchers, advancing scientific knowledge, and fostering collaboration. Her scholarly influence is highlighted by 999 citations from 909 documents across 37 publications with an h-index of 14.

Profiles : Google Scholar | ORCID | Scopus

Featured Publications

1.Abdollahi, N., Hatami, H., Shanehbandi, D., Shabani, M., & Sadeghian, R. (2024). Long-term treatment with buprenorphine increased TLR1 receptor expression in methamphetamine rats’ brainstems. Journal of Advances in Medical and Biomedical Research, 32(150), 9.

2.Khajehnasiri, N., Hosseini, M., Piraki, P., Ghowsi, M., Rahbarnia, L., Habibi, P., & Sadeghian, R. (2023). Diverse long-term exercise intensity effects on appetite and body weight regulation: Arcuate Neuropeptide-Y and Proopiomelanocortin gene function. Physiology and Pharmacology, 27(4), 417.

3.Shahidi, S., Rafiee, H., Sohrabi, S., Mohebi, N., Jahani, M., Sohrabi, F., Hakhamaneshi, E., Azar, S. M., Komaki, A., Afshar, S., & Sadeghian, R. (2023). Effects of swimming exercise during pre-adolescence on learning and memory in adult rats: Behavioral and electrophysiological approaches. Physiology and Pharmacology, 27(2), 6.

4.Farzadfar, F., Naghavi, M., Sepanlou, S. G., Saeedi Moghaddam, S., Dangel, W. J., Davis Weaver, N., Aminorroaya, A., Azadnajafabad, S., Koolaji, S., Mohammadi, E., … Sadeghian, R. (2022). Health system performance in Iran: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet, 399(10335), 1877–1895.

5.Kholghi, A., Hatami, H., Khajehnasiri, N., & Sadeghian, R. (2022). Intraperitoneal injection of buprenorphine on anxiety-like behavior and alteration in expression of Gfap and Nrf2 in methamphetamine treated rats. Veterinary Research Forum, 13(2), 311–318.