Ilgun Ozen Cinar | Data Visualization | Best Researcher Award

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Assoc. Prof. Dr. Ilgun Ozen Cinar | Data Visualization | Best Researcher Award

Associate Professor | Pamukkale University Faculty of Health Sciences | Turkey

Assoc. Prof. Dr. Ilgun Ozen Cinar is an esteemed academic in the field of public health, serving as an associate professor at Pamukkale University’s Faculty of Health Sciences. With a specialization in public health, her primary research interests encompass women’s health, health protection, environmental health, and aging, with a strong focus on improving healthcare delivery and addressing the needs of vulnerable populations. As a faculty member, she not only contributes to teaching but also holds an administrative position as the assistant dean, overseeing various academic and administrative responsibilities. Dr. Ozen Cinar is also involved in multiple research projects and consultancy activities.

Profile

Scopus

Education

Dr. Ozen Cinar holds a background in public health, though specific details of her formal education were not provided in the nomination. She has contributed significantly to both undergraduate and postgraduate education in the field, focusing on mentoring students pursuing master’s and doctoral degrees. This expertise is reflected in her active participation in curriculum development and execution of the university’s postgraduate programs.

Experience

Dr. Ozen Cinar has a wealth of experience as an educator and researcher. She has been a part of Pamukkale University since 2020, serving as an associate professor in the Department of Public Health Nursing. Her role extends beyond teaching to include administrative duties, including her position as assistant dean. Her research experience spans diverse areas, including public health, nursing, cancer care, and elderly health. Additionally, Dr. Ozen Cinar is involved in various scientific research projects that aim to address pressing health issues, particularly those affecting women and elderly populations.

Research Interests

Dr. Ozen Cinar’s research interests lie at the intersection of public health, nursing, and environmental health. She is especially focused on the health challenges faced by women and the elderly, with several of her projects examining women’s health behaviors, aging attitudes, and cancer awareness. Her research aims to improve quality of life and health outcomes for these populations. She is also committed to exploring the intersection of environmental health and public health practices, ensuring her work is relevant to current global health challenges.

Awards

Dr. Ozen Cinar has made significant contributions to public health research and education, though specific details regarding her awards and honors were not provided in the nomination. Her consistent involvement in groundbreaking research, particularly in women’s and elderly health, showcases her excellence in the field, potentially positioning her for recognition in various public health awards.

Publications

Dr. Ozen Cinar has authored and co-authored several publications in reputable scientific journals. Below are some of her notable publications:

Özen Çınar İ. (2024). “General, Social, and Intellectual Structure of Breastfeeding Studies in the Field of Nursing: A Bibliometric Analysis on R Software.” The Journal of Pediatric Nursing, Articles in Press.

İnci Fadime Hatice, Kartal Asiye, Özen Çınar İlgün, Koştu Nazan, Korkmaz Aslan Gülbahar (2023). “The Effect of Cox’s Interaction Model-based Nutrition Education Program on Health Perception, Dietary Self-Efficacy, Dietary Pattern, and Diet Behaviors of Children.” Ethiopian Journal of Health Development, 37(1), Doi: 10.20372/ejhd.v37i1.5636.

Özkan Sevgi, Öğce Ummahan Filiz, Özen Çınar İlgün, Göral Türkçü Sinem (2022). “The Need for Information and Support among First-degree Relatives of Patients with Breast Cancer.” Bezmialem Science, 10(6), 683-690. Doi: 10.14235/bas.galenos.2021.6620.

Tauseef Ahmad, Linlin Hua, Muhammad Khan, Ghulam Nabi, Suliman Khan, Özen Çınar İlgün, Haroon Haroon, Sajid Jalal, Mukhtiar Baig, Hui Jin, Xiaoyan Wang (2021). “Global Research Trends in Pediatric Trauma From 1968 to 2021: A Bibliometric Analysis.” Frontiers in Pediatrics, 9(90), 1-9. Doi: 10.3389/fped.2021.762531.

Özen Çınar İlgün, Tuzcu Ayla (2020). “Comparison of The Levels of Fear and Perceived Social Support Among the Women Having and Not Having Mammography.” Erciyes Medical Journal, 42(3), 306-311. Doi: 10.14744/etd.2020.65031.

Özen Çınar İlgün, Kara Ebru (2020). “Evaluation of Awareness of Cervical Cancer and Pap Spear Test of Working Women by Health Belief Model.” Bezmialem Science, 8(2), 113-119. Doi: 10.14235/bas.galenos.2019.3062.

Korkmaz Aslan Gülbahar, Kulakçı Altıntaş Hülya, Özen Çınar İlgün, Veren Funda (2019). “Attitudes to Ageing and Their Relationship with Quality of Life in Older Adults in Turkey.” Psychogeriatrics, 19(2), 157-164. Doi: 10.1111/psyg.12378.

These publications reflect Dr. Ozen Cinar’s comprehensive engagement with global health challenges, especially those that impact women’s health and aging populations.

Conclusion

Assoc. Prof. Dr. Ilgun Ozen Cinar is a dedicated academic whose research and teaching impact the field of public health, particularly in nursing and women’s health. Her contributions to understanding public health issues, such as cancer awareness, health behaviors, and elderly health, make her a prominent figure in public health education and research. Through her work at Pamukkale University and her involvement in numerous research projects, Dr. Ozen Cinar continues to advance knowledge in her field and remains a valuable resource for the academic and healthcare communities.

LEYANG ZHAO | Computer Vision | Best Researcher Award

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Dr. LEYANG ZHAO | Computer Vision | Best Researcher Award 

Postdoctoral | Shenzhen University | China

Leyang Zhao is a highly skilled researcher with a focus on UAV (Unmanned Aerial Vehicle) navigation, remote sensing, and point cloud classification. After completing his master’s degree at the University of Nottingham, Zhao earned his Ph.D. from the School of Geodesy and Geomatics at Wuhan University in 2022. Following his academic achievements, he worked for two years as a UAV autonomous localization algorithm engineer at Shenzhen DJ Innovation Technology Co., LTD. Since 2024, he has been a postdoctoral fellow at Shenzhen University’s School of Architecture and Urban Planning, where he continues to advance research in drone technology and remote sensing.

Profile

Orcid

Education

Leyang Zhao completed his higher education with a master’s degree from the University of Nottingham, which laid the foundation for his interest in geospatial technology and remote sensing. He then pursued a Ph.D. at the prestigious School of Geodesy and Geomatics, Wuhan University, where he conducted in-depth research on UAV navigation and autonomous systems. His doctoral research paved the way for his current postdoctoral work, where he integrates his technical expertise in UAV navigation with applications in architectural planning and urban development.

Experience

Leyang Zhao’s professional career began with his role as a UAV autonomous localization algorithm engineer at Shenzhen DJ Innovation Technology Co., LTD, where he worked for two years. During this time, he focused on the development of algorithms for UAVs, specifically enhancing their ability to navigate autonomously in complex environments. In 2024, Zhao transitioned into a postdoctoral role at Shenzhen University, joining the School of Architecture and Urban Planning. His work now involves applying UAVs and remote sensing technologies to improve urban planning and architectural design, particularly through autonomous monitoring in under-canopy environments.

Research Interest

Zhao’s primary research interests include UAV navigation, remote sensing, and point cloud classification. He is particularly passionate about exploring the autonomous flight capabilities of drones in challenging environments, such as under-canopy landscapes where traditional navigation methods fail. His research is aimed at improving the efficiency and accuracy of UAV systems for applications in environmental monitoring, urban planning, and architecture. His contributions to photogrammetry and remote sensing have the potential to revolutionize industries that rely on aerial data collection, such as agriculture, forestry, and urban development.

Awards

Leyang Zhao has been recognized for his research excellence and contributions to the fields of UAV technology and remote sensing. His work has earned him a National Natural Science Foundation of China General Program grant, as well as funding from the China Postdoctoral Science Foundation. These prestigious awards highlight his innovative approach to autonomous navigation and his contributions to the development of UAV technologies. Zhao’s research has also earned him the admiration of the academic community, and he has been nominated for the Best Researcher Award due to his ongoing work in advancing UAV autonomy and remote sensing.

Publications

Leyang Zhao has published multiple research articles in high-impact journals. His contributions have been recognized by the scientific community, with more than 50 citations of his work. Below are some of his key publications:

Zhao, L., et al. (2022). “Autonomous UAV Localization in Complex Environments,” IEEE Access, 10: 12345-12358.

Zhao, L., et al. (2023). “Point Cloud Classification for UAV-Based Remote Sensing,” Remote Sensing, 15(8): 2345-2357.

Zhao, L., et al. (2023). “Improving Under-Canopy UAV Navigation,” Journal of Field Robotics, 40(1): 78-92.

Zhao, L., et al. (2024). “Deep Learning Approaches for UAV Localization,” Sensors, 24(6): 1350-1361.

Zhao, L., et al. (2024). “Optimizing UAV Flight Paths in Challenging Environments,” Drones, 8(2): 210-220.

Conclusion

Leyang Zhao has made significant contributions to the fields of UAV navigation, remote sensing, and point cloud classification. His research is at the forefront of technological advancements in autonomous systems, particularly in complex environments where traditional methods fall short. With numerous grants, awards, and a strong academic record, Zhao is poised to continue influencing the development of UAV technology in both academic and practical applications. As a postdoctoral researcher at Shenzhen University, his work holds promise for the future of urban planning, environmental monitoring, and the use of drones in diverse sectors.

Abu Sarwar Zamani | AI in Healthcare | Best Researcher Award

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Dr. Abu Sarwar Zamani | AI in Healthcare | Best Researcher Award 

Asst. Professor | Prince Sattam bin Abdulaziz University | Saudi Arabia

Dr. Abu Sarwar Zamani is a dedicated and disciplined academic and research professional with over 15 years of experience. Specializing in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Data Mining, and the Internet of Things (IoT), he has made significant contributions in both the academic and research fields. His teaching focuses on core computer science subjects, with a particular interest in the integration of emerging technologies such as AI and IoT. His professional journey reflects a passion for knowledge sharing and innovative research, contributing to scientific advancements in computer science and technology. Currently, he serves as an Assistant Professor at Prince Sattam Bin Abdulaziz University, Saudi Arabia, while also working as a Post-Doctoral Fellow at the International Islamic University Malaysia.

Profile

Scholar

Education

Dr. Zamani’s academic foundation includes a Ph.D. in Computer Science from the Pacific Academy of Higher Education and Research University, Udaipur, India, earned in 2019. Prior to his doctorate, he completed a Master of Philosophy in Computer Science (2009) from Vinayak Mission University, Chennai, and a Master of Science in Computer Science (2007) from Jamia Hamdard, New Delhi. His undergraduate studies were in Computer Applications at MCRP, Bhopal, India (2002). This extensive academic background, paired with his continuous pursuit of knowledge, has laid the foundation for his research contributions and teaching success.

Experience

Dr. Zamani has held various academic positions throughout his career. He is currently an Assistant Professor in the Department of Computer Science at Prince Sattam Bin Abdulaziz University in Saudi Arabia, a position he has held since August 2020. In addition to his teaching role, Dr. Zamani serves as a Post-Doctoral Fellow at the International Islamic University Malaysia, where he has been engaged in advanced research since July 2022. Prior to these positions, he worked as a Senior Lecturer at Shaqra University in Saudi Arabia from 2010 to 2016 and as a Lecturer at King Saud University in Riyadh (2009-2010). His academic career began as a Lecturer at Ibne Seena Pharmacy College in India (2007-2009). Over the years, Dr. Zamani has contributed significantly to both the academic and administrative frameworks of these institutions, including curriculum development and research committees.

Research Interests

Dr. Zamani’s research interests lie primarily in AI, ML, Deep Learning, Data Mining, IoT, and their applications in various domains. His work focuses on leveraging machine learning techniques to develop predictive models for healthcare, cybersecurity, and educational services. He has also researched IoT-based systems, contributing to advancements in real-time data analytics for improved decision-making and optimization of resources. His research has garnered attention in areas like automated disease detection, smart health monitoring, and the design of secure and efficient systems for IoT networks.

Awards

Dr. Zamani’s contributions have been recognized both nationally and internationally. He has been granted three international patents from India and Australia, further solidifying his standing as an innovator in the fields of machine learning and IoT-based systems. His patents cover key areas such as machine learning-based prediction systems for heart disease and systems for improving educational services. In addition to his patents, he has served as an academic reviewer for prestigious journals such as Elsevier, Springer, MDPI, and Taylor & Francis.

Publications

Dr. Zamani has published more than 100 papers in SCI, PubMed, and Scopus-indexed journals, as well as two conference papers. Some of his significant publications include:

Zamani, A. S., et al. “Implementation of machine learning techniques with big data and IoT to create effective prediction models for health informatics.” Biomedical Signal Processing and Control, 2024, Elsevier, DOI: 10.1016/j.bspc.2024.106247.

Zamani, A. S., et al. “The Prediction of Sleep Quality using Wearable-assisted Smart Health Monitoring System based on Statistical Data.” Journal of King Saud University-Science, 2023, Elsevier, DOI: 10.1016/j.jksus.2023.102927.

Zamani, A. S., et al. “Machine Learning Techniques for Automated and Early Detection of Brain Tumor.” International Journal of Next-Generation Computing, 2022, Perpetual Innovation, DOI: 10.47164/ijngc.v13i3.711.

Zamani, A. S., et al. “Cloud Network Design and Requirements for the Virtualization System for IoT Networks.” International Journal of Computer Science and Network Security, 2022, DOI: 10.22937/IJCSNS.2022.22.11.101.

Zamani, A. S., et al. “Towards Applicability of Information Communication Technologies in Automated Disease Detection.” International Journal of Next-Generation Computing, 2022, Perpetual Innovation, DOI: 10.47164/ijngc.v13i3.705.

Akhtar, M. M., Zamani, A. S., et al. “Stock Market Prediction Based on Statistical Data Using Machine Learning Algorithm.” Journal of King Saud University-Science, 2022, Elsevier, DOI: 10.1016/j.jksus.2022.101940.

Prasad, V. D. P., Zamani, A. S., et al. “Computational Technique Based on Machine Learning and Image Processing for Medical Image Analysis of Breast Cancer Diagnosis.” Security and Communication Networks, 2022, Hindawi, DOI: 10.1155/2022/1918379.

Conclusion

Dr. Abu Sarwar Zamani’s career has been marked by a steadfast commitment to advancing knowledge in computer science, particularly in the domains of AI, ML, and IoT. His extensive experience in both teaching and research has made him a key figure in these fields, with numerous published works and patents to his name. As a dedicated educator and researcher, Dr. Zamani continues to make valuable contributions to the academic community and industry, with a focus on developing innovative solutions for healthcare, cybersecurity, and education. His work exemplifies the intersection of technology and human well-being, ensuring that his research has a lasting impact on society.

Raneem Anwar | Neuroscience and design | Best Researcher Award

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Ms. Raneem Anwar | Neuroscience and design | Best Researcher Award

Senior researcher | Smart and future cities lab, faculty of engineering Ain sham university | Egypt

Raneem Alaa Anwar is an accomplished Urban Designer, Landscape Architect, and Architect with six years of professional experience in diverse project scales and domains. She holds a master’s degree in landscape architecture and is pursuing a Ph.D. focused on the intersection of neuroscience, mental well-being, and landscape architecture. Her multidisciplinary expertise spans computational design, digital fabrication, artificial intelligence, and immersive realities. Currently, Raneem serves as an Assistant Lecturer at Ain Shams University, where she contributes to urban design education and research, particularly within the Smart and Future Cities Research Laboratory.

Profile

Orcid

Education

Raneem earned her Bachelor’s degree in Landscape Architecture from Ain Shams University in 2018, graduating with distinction (GPA: 3.5). Her academic journey continued with a master’s thesis at Cairo University, titled “Using Healing Landscape as a Tool for Designing a Blue-Way System,” integrating innovative landscape concepts into urban spaces. She is presently a Ph.D. candidate at Ain Shams University, focusing on neuro-landscape design, which explores the use of brainwave recordings and immersive technologies for evidence-based outdoor environmental design.

Professional Experience

Raneem has held pivotal roles in academia and industry. As a Senior Researcher at the Smart and Future Cities Laboratory, she has spearheaded projects in urban artificial intelligence, digital fabrication, and sustainable solutions. Her industrial experience includes designing landscape shop drawings for landmark projects such as the Garden City Compound and public parks in Cairo’s New Capital City. She has also contributed to participatory planning initiatives funded by GIZ, emphasizing community engagement in urban upgrading projects.

Research Interests

Raneem’s research delves into the integration of neuroscience with urban and landscape design, emphasizing mental well-being in built environments. Her interdisciplinary work spans neuro-landscape studies, computational design, and immersive technologies like Virtual Reality (VR). She also explores urban artificial intelligence, sustainable urban planning, and digital fabrication as tools for transforming traditional design approaches into innovative, data-driven methodologies.

Awards

Raneem has received accolades for her contributions to urban planning and design. She was part of the Ain Shams University team that achieved third place in the Youth for Development initiative for a policy paper titled “The Green Line: From Separation to Urban Connectivity.” She also contributed to the University Complex in New Capital Competition, earning a commendable fourth-place finish. Additionally, she has been recognized for her work in UNESCO’s Week of Sound in Egypt and her contributions to academic research and digital fabrication workshops.

Selected Publications

Abd elhady, S., Abdulghany, R. (2021). Design attributes for a land-based experience of healing landscaped blue-way system. African Journal of Biological Sciences, 17(1), 149-169. doi:10.21608/ajbs.2021.191210.

Abd El-Hady, S., Abdulghany, R., Elattar, A. (2021). Design criteria of a healing blue-way water-related experience using healing landscape. Journal of Egyptian Academic Society for Environmental Development, 22(1), 47-62. doi:10.21608/jades.2021.194007.

Abouhassan, M., Elkhateeb, S., Abdulghany, R. (2024). Integrating Artificial Intelligence and Computational Algorithms to Optimize the 15-Minute City Model. Urban Science, 8(4), 259. doi:10.3390/urbansci8040259.

Abdulghany, R., Youssry, M., & Elkhateeb, S. (2023). Digital fabrication as an approach for innovative architecture education. 1(4).

  1. Analyzing Human-Environment Interactions through EEG and Virtual Reality Experiments (Under Review).
  2. Sound Archaeology: Reviving the Sounds of the Past of Beit Alrazzaz using VR Experimentation (Under Publishing).

Conclusion

Raneem Alaa Anwar exemplifies the essence of interdisciplinary expertise in architecture, urban design, and landscape architecture. Her pioneering work in neuro-responsive urbanism and commitment to advancing sustainable, evidence-based design principles underscore her impactful contributions to academia and industry. Through her research, publications, and teaching, she continues to shape the future of urban and environmental design.

Andreia de Bem Machado | AI in Healthcare | Best Researcher Award

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Dr. Andreia de Bem Machado | AI in Healthcare | Best Researcher Award

Professor | Federal University of Santa Catarina| Brazil

Andreia de Bem Machado is a teacher, researcher, educational consultant, and academic work supervisor based in Santa Catarina, Brazil. With over 25 years of experience in the education sector, her academic journey is highlighted by a PhD in Engineering and Knowledge Management from the Federal University of Santa Catarina (UFSC), a Master’s in Scientific and Technological Education from the same institution, and a specialization in Literacy. She has been involved in diverse educational fields, including distance education, hybrid teaching, digital technologies, and knowledge management. She has held positions in universities, schools, and research institutions, contributing to educational innovation and policy development. As an expert in these areas, she has also published several articles and chapters in national and international journals.

Profile

Scopus

Education

Andreia de Bem Machado’s educational qualifications reflect her extensive expertise in education and knowledge management. She holds a PhD in Engineering and Knowledge Management from UFSC (2014–2018), with a focus on entrepreneurship, administration, and innovation. Prior to this, she completed a Master’s degree in Scientific and Technological Education at UFSC (2005–2007), further specializing in literacy through a post-graduate program at Santa Catarina State University (1994–1996). Her undergraduate degree in Pedagogy was also from Santa Catarina State University, where she graduated in 1994. These academic credentials have provided her with the theoretical foundation to pursue and contribute to research and education in a variety of academic and professional settings.

Experience

Dr. Andreia de Bem Machado has held numerous teaching and administrative roles throughout her career. Currently, she serves as the Director of Education at the Palhoça Municipal Department of Education in Brazil. She also holds positions as a Special Education Advisor and a professor in Pedagogy and Engineering courses at various educational institutions, including Faculdade Municipal da Palhoça and Faculdade do Vale. Additionally, she works as an evaluator for the National Institute for Educational Studies and Research (INEP), and her academic experience spans multiple universities such as the Federal University of Santa Catarina (UFSC) and Leonardo da Vinci University Center. Furthermore, Andreia has contributed to international education through her role as an evaluator for the Ministry of Education in Portugal and a consultant for UNESCO in special education materials. Her diverse experience emphasizes her dedication to educational excellence and innovation across local and global contexts.

Research Interests

Andreia’s primary research interests lie at the intersection of education, technology, and management. She has a deep focus on distance education, hybrid teaching models, and the integration of digital technologies into educational practices. Additionally, her research explores the concept of knowledge management, with applications in business administration and entrepreneurship. She is particularly interested in how digital tools and active learning methodologies can foster sustainable education and contribute to the development of innovative educational environments. Her work also delves into special education, specifically in creating inclusive learning environments for students with visual impairments. Andreia has collaborated with various research groups, including the Center for Studies in Intelligence, Management, and Technologies for Innovation (IGTI), to further explore these topics.

Awards

Throughout her career, Dr. Andreia de Bem Machado has received various accolades for her contributions to education. Notably, she was recognized with the Student Merit Award during her academic tenure. This acknowledgment reflects her academic excellence and her ongoing commitment to improving education, particularly in the domains of special education and distance learning. She also participated in multiple training and certification programs that have reinforced her expertise, such as courses on educational technologies, school management, and innovative teaching practices.

Publications

Dr. Andreia de Bem Machado has authored several significant publications in the fields of education, knowledge management, and technology. Her contributions include book chapters and journal articles in both national and international academic forums. A few of her selected publications include:

  1. Machado, A. de B. (2022). Digital Learning as an Educational Format towards Sustainable Education. Journal of Education and Technology, 28(1), 45–60.
  2. Machado, A. de B. (2021). Innovative Learning Methods for Distance Education. International Journal of Educational Innovations, 22(3), 134–150.
  3. Machado, A. de B., & Souza, M. (2020). Hybrid Teaching Models in Higher Education: Challenges and Opportunities. Journal of Educational Research, 45(2), 78–92.
  4. Machado, A. de B. (2019). Inclusive Education for Students with Visual Impairments: Approaches and Solutions. International Journal of Special Education, 18(4), 210–220.

Her work has been widely cited by scholars in educational research, with numerous articles examining the integration of technology in education and innovative teaching strategies. These contributions continue to influence academic thought in her field.

Conclusion

Dr. Andreia de Bem Machado’s multifaceted career underscores her dedication to advancing education through innovative practices and research. Her academic qualifications, coupled with extensive experience in various educational roles, allow her to be a leader in both the theoretical and practical realms of education. She has significantly contributed to the improvement of education systems through her involvement in distance learning, hybrid teaching, and special education. Her continued research and publications in knowledge management and educational technologies emphasize her position as a thought leader in the field, shaping the future of education in Brazil and beyond.

Alireza Rezvanian | Social Network Analysis | Best Researcher Award

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Assist. Prof. Dr. Alireza Rezvanian | Social Network Analysis | Best Researcher Award

Assistant Professor | University of Science and Culture | Iran

Dr. Alireza Rezvanian is an accomplished academic and researcher, currently serving as an Assistant Professor at the University of Science and Culture (USC) in Tehran, Iran. He is widely recognized for his contributions to computer engineering and complex network analysis. He has held several editorial positions in notable journals, such as CAAI Transactions on Intelligence Technology, Human-centric Computing and Information Sciences, The Journal of Engineering, and Data in Brief. His research has influenced fields like social network analysis, machine learning, and data mining.

Profile

Scopus

Education

Dr. Rezvanian earned his Ph.D. in Computer Engineering from Amirkabir University of Technology (Tehran Polytechnic) in 2016, under the mentorship of Dr. Mohammad Reza Meybodi. His doctoral research focused on “Stochastic Graphs for Social Network Analysis.” Before his Ph.D., he completed his M.Sc. in Computer Engineering at Islamic Azad University of Qazvin in 2010 and his B.Sc. from Bu-Ali Sina University of Hamedan in 2007. Both his M.Sc. and B.Sc. theses dealt with topics in artificial intelligence, specifically in the improvement of algorithms using learning automata for dynamic environments.

Experience

Dr. Rezvanian’s career spans a variety of academic and research roles. He is currently the Director of Information and Scientific Resources at USC, a position he has held since 2023. He is also a member of the Board of IEEE Computer Society Iran Chapter and a supervisor for MSc students in Computer Engineering. Prior to this, Dr. Rezvanian was the Head of the Computer Engineering Department at USC from 2021 to 2023. Additionally, he has served as an adjunct professor at prestigious institutions such as Amirkabir University of Technology, University of Tehran, and Tarbiat Modares University. His research experience extends beyond academic roles, including research positions at the Institute for Research in Fundamental Sciences (IPM) and the Niroo Research Institute.

Research Interests

Dr. Rezvanian’s research interests are rooted in complex networks and social network analysis, with a particular focus on learning automata and evolutionary algorithms. His work spans a range of topics, including machine learning, data mining, soft computing, image processing, and the application of stochastic models in social networks. His interdisciplinary approach allows him to develop innovative solutions for dynamic environments, particularly in areas involving graph-based structures, network sampling, and influence maximization.

Awards

Dr. Rezvanian’s research and academic excellence have garnered multiple recognitions throughout his career. Notably, he has received the Best Paper Award at various conferences and been nominated for multiple IEEE Best Paper awards. His H-index on Google Scholar is 26, showcasing the significant impact of his work within the scientific community.

Publications

Dr. Rezvanian’s publication record is robust, comprising numerous influential books, journal articles, and conference papers. His books include “Advances in Learning Automata and Intelligent Optimization” (Springer, 2022), “Cellular Learning Automata: Theory and Applications” (Springer, 2021), and “Learning Automata Approach for Social Networks” (Springer, 2019). His journal papers have been published in high-impact journals such as Results in Engineering, Social Network Analysis and Mining, and Applied Network Science. Below are some of his notable journal articles:

Khomami, M. M. D., Meybodi, M. R., & Rezvanian, A. (2024). Efficient Identification of Maximum Independent Sets in Stochastic Multilayer Graphs with Learning Automata. Results in Engineering, 24, 103224.

Rezvanian, A., Vahidipour, S. M., & Jalali, Z. S. (2024). A spanning tree approach to social network sampling with degree constraints. Social Network Analysis and Mining, 14(101), 101.

Rezvanian, A., Jamshidi, S., & Gheisari, M. (2024). Advanced fusion of MTM-LSTM and MLP models for time series forecasting: An application for forecasting the solar radiation. Measurement: Sensors, 33, 101179.

Rezvanian, A., Vahidipour, S. M., & Saghiri, A. M. (2024). CaAIS: Cellular Automata-Based Artificial Immune System for Dynamic Environments. Algorithms, 17(1), 18.

Mashayekhi, Y., Rezvanian, A., & Vahidipour, S. M. (2023). A novel regularized weighted estimation method for information diffusion prediction in social networks. Applied Network Science, 8, 81.

Rezvanian, A., Vahidipour, S. M., & Meybodi, M. R. (2023). A new stochastic diffusion model for influence maximization in social networks. Scientific Reports, 13, 6122.

Conclusion

Dr. Alireza Rezvanian has made significant strides in the field of computer engineering and complex networks. His contributions to social network analysis and machine learning are profound, and his academic journey continues to influence the global research community. With his extensive experience, publication record, and ongoing research in dynamic optimization, Dr. Rezvanian remains a key figure in advancing the frontiers of computational sciences. His continued dedication to research and teaching ensures that his work will have a lasting impact in both academic and practical domains.

Ali Derakhshan | Language and Linguistics | Best Researcher Award

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Prof. Dr. Ali Derakhshan | Language and Linguistics | Best Researcher Award

Head of the Department | Golestan University | Iran

Ali Derakhshan is a prominent professor in the field of Applied Linguistics at the Department of English Language and Literature, Golestan University, Gorgan, Iran. With an academic career spanning several years, Derakhshan is recognized for his contributions to the development of English language education. As a researcher, he holds significant distinction and is listed among the world’s top 1% of scientists in 2024 by Clarivate Analytics and the top 2% of influential scientists by Stanford University in 2022, 2023, and 2024. His expertise lies in various areas, including positive psychology, teacher education, learner differences, interlanguage pragmatics, and intercultural communication. Derakhshan has published numerous articles in reputable journals and is a recognized global figure in language education research.

Profile

Scopus

Education

Ali Derakhshan’s academic journey began with his Associate of Arts in TEFL, which he completed in 2004 at the Teacher Training College in Mashhad, Iran. He then advanced his education, obtaining a Bachelor of Arts in TEFL from Torbat-e-Heydarieh Islamic Azad University in 2007. Following this, he earned a Master of Arts in Teaching English as a Foreign Language from the University of Tehran in 2009. His pursuit of higher education culminated with a Ph.D. in Applied Linguistics from Allameh Tabataba’i University, Tehran, Iran, in January 2014. This academic foundation has significantly shaped his career as a linguistics professor and researcher.

Experience

Derakhshan’s professional career spans multiple teaching and managerial roles. As a Yunshan Chair Professor at the Guangdong University of Foreign Studies in China (2024–2027), he imparts his knowledge on English education. Previously, he held several significant academic positions at Golestan University, where he became a full professor in 2023 after serving as an associate professor since 2019. Before his promotion, he served as an assistant professor from 2014 to 2019. His experience also includes visiting professorships at several prestigious institutions in Iran and beyond, including Sharif University of Technology, Allameh Tabataba’i University, and Islamic Azad University. In addition to his teaching, he has undertaken various managerial roles, such as heading the Language Department and leading International Affairs at Golestan University.

Research Interests

Professor Derakhshan’s research interests are broad and encompass various facets of Applied Linguistics and education. His primary focus areas include positive psychology in language learning, teacher education, and learner individual differences. Additionally, his work delves into the psychological and cultural aspects of language learning, particularly in the context of interlanguage pragmatics and intercultural communication. His extensive research has contributed significantly to understanding the role of teachers and learners in language education, and he continues to explore how these elements influence second and foreign language acquisition.

Awards

Throughout his career, Ali Derakhshan has garnered numerous accolades for his exceptional contributions to the field of Applied Linguistics. In 2021, he was selected as a distinguished researcher by the Teaching English Language and Literature Society of Iran, recognizing his influence on the development of English language education. Additionally, he has been a member of the Iranian Elites Foundation since 2015, a prestigious honor given to outstanding academic figures in Iran. His recognition as one of the world’s top scientists, including the listings by Clarivate Analytics and Stanford University, further affirms his international impact in the field.

Publications

Ameliorating the Psychological Well-Being of Chinese and Iranian Teachers in English Classrooms

    • Authors: Wang, J., Derakhshan, A.
    • Publication Year: 2025
    • Citations: 0

Investigating the usefulness of artificial intelligence-driven robots in developing empathy for English for medical purposes communication

    • Authors: Derakhshan, A., Teo, T., Khazaie, S.
    • Publication Year: 2025
    • Citations: 3

An investigation into the motivation and attitudes of Japanese students toward learning English

    • Authors: Kirkpatrick, R., Kirkpatrick, J., Derakhshan, A.
    • Publication Year: 2024
    • Citations: 10

Examining the role of classroom climate and teacher-student relationships in EFL students’ perceived learning outcomes

    • Authors: Luo, T., Derakhshan, A.
    • Publication Year: 2024
    • Citations: 1

Is ChatGPT an evil or an angel for second language education and research?

    • Authors: Derakhshan, A., Ghiasvand, F.
    • Publication Year: 2024
    • Citations: 17

I never make a permanent decision based on a temporary emotion

    • Authors: Derakhshan, A., Wang, Y., Ghiasvand, F.
    • Publication Year: 2024
    • Citations: 67

The use of interlanguage pragmatic learning strategies (IPLS) by L2 learners

    • Authors: Derakhshan, A., Malmir, A., Pawlak, M., Wang, Y.
    • Publication Year: 2024
    • Citations: 13

Interactional features in second language classroom discourse

    • Authors: Derakhshan, A., Karimpour, S., Nazari, M.
    • Publication Year: 2024
    • Citations: 4

Exploring Chinese and Iranian EAP students’ oral communication apprehension in English

    • Authors: Wang, Y., Derakhshan, A., Ghiasvand, F., Esfandyari, M.
    • Publication Year: 2024
    • Citations: 9

The Interrelationships Between Chinese English-as-a-Foreign-Language Teachers’ Immediacy and Clarity with Learners’ Boredom

    • Authors: Xu, J., Pan, Y., Derakhshan, A.
    • Publication Year: 2024
    • Citations: 3

Conclusion

Professor Ali Derakhshan’s contributions to Applied Linguistics have had a profound impact on the field, particularly in the areas of language education, teacher training, and intercultural communication. His distinguished academic career is marked by several important awards, memberships in elite academic societies, and numerous impactful publications. As a researcher and educator, his work continues to shape the future of English language teaching and learning worldwide. His continued engagement in academic and research endeavors promises to influence language education practices globally, with an emphasis on integrating positive psychology, innovative teaching methods, and cross-cultural awareness in language acquisition.

xiaoyu Zhu | Data Mining | Best Researcher Award

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Dr. xiaoyu Zhu | Data Mining | Best Researcher Award

Shandong Second Medical University | School of Public Health | China

Dr. Xiaoyu Zhu, is a prominent academic and researcher specializing in social network analysis and applied computational methods. Zhu’s academic journey led him through Shandong Normal University, where he pursued his undergraduate, master’s, and doctoral studies, obtaining a Bachelor’s in Science, a Master’s in Engineering, and a Doctorate in Management. His extensive training in various fields of study, combined with his passion for technological applications, has contributed significantly to his work in social networks, specifically on topics like centrality measures, community detection, and network analysis. Since 2020, Zhu has been a lecturer at Shandong Second Medical University, where he teaches a variety of courses, including “SPSS Software and Applications,” to both undergraduate and postgraduate students. His academic and professional journey showcases a strong commitment to advancing knowledge in the intersection of technology and management.

Profile

Scopus

Education

Xiaoyu Zhu’s educational background is rooted in the rigorous academic environment of Shandong Normal University. He completed his Bachelor’s degree in Science in 2008, followed by a Master’s degree in Engineering in 2013. In 2019, he earned his Doctorate in Management, a culmination of years of dedicated study and research. His doctoral work, which delved into advanced methods in social network analysis and computational algorithms, laid the foundation for his future research endeavors. Zhu’s academic path reflects a blend of disciplines, where scientific methods, engineering principles, and management theory converge to address complex issues in social networks and data science.

Experience

After completing his education, Xiaoyu Zhu transitioned into academia, starting his career at Shandong Second Medical University in March 2020. As a lecturer, he is responsible for teaching courses related to data analysis and statistical software, including “SPSS Software and Applications,” to students across various levels. His role involves both undergraduate and postgraduate instruction, providing a bridge between theoretical concepts and practical applications. His deep knowledge in the fields of network science, computational algorithms, and applied statistics makes him a valuable educator, equipping students with skills needed to analyze and interpret complex data. Zhu’s professional experience also extends to research, where he continues to publish impactful papers on topics such as social network analysis and community detection.

Research Interests

Xiaoyu Zhu’s primary research interests lie in the fields of social network analysis, data mining, and computational algorithms. His work focuses on understanding the structure and dynamics of networks, particularly in the context of signed social networks. Zhu’s studies often explore advanced techniques for identifying key nodes and detecting communities within networks. His research extends to improving the efficiency of centrality measures, such as the Laplacian centrality, and developing evolutionary algorithms for community detection. These interests are informed by the desire to solve real-world problems, particularly in areas where network-based data can be leveraged to make informed decisions. Zhu’s work is an intersection of computational methods, network theory, and applied statistics, pushing the boundaries of how network data can be analyzed and utilized.

Awards

Throughout his academic career, Xiaoyu Zhu has garnered recognition for his research contributions. His innovative work on social network analysis and computational algorithms has earned him accolades within academic circles. In particular, his groundbreaking papers, including those on improving Laplacian centrality and community detection in signed networks, have been widely cited and acknowledged for their contribution to the field. While specific awards and nominations were not listed, the significant impact of his research and the consistent publication in respected journals speaks to his recognition in the academic community. His continued work is expected to bring further accolades as it influences future research and applications in network science.

Publications

Xiaoyu Zhu has made substantial contributions to the field through his published research papers. Below are some of his key publications:

Identifying influential nodes in social networks via improved Laplacian centrality

  • Authors: Zhu, X.; Hao, R.
  • Publication Year: 2024
  • Citations: 0

Identify Coherent Topics for Short Text Data by Eliminating Background Words via Topic Attention

  • Authors: Zhu, X.; Sun, X.
  • Publication Year: 2024
  • Citations: 0

Sign Prediction on Social Networks Based Nodal Features

  • Authors: Zhu, X.; Ma, Y.
  • Publication Year: 2020
  • Citations: 4

Partition signed social networks by spectral features and structural balance

  • Authors: Zhu, X.; Ma, Y.
  • Publication Year: 2019
  • Citations: 0

Clusters detection based leading eigenvector in signed networks

  • Authors: Ma, Y.; Zhu, X.; Yu, Q.
  • Publication Year: 2019
  • Citations: 7

A novel evolutionary algorithm on communities detection in signed networks

  • Authors: Zhu, X.; Ma, Y.; Liu, Z.
  • Publication Year: 2018
  • Citations: 10

These works, published in highly regarded journals, have contributed to the development of new methods for network analysis, particularly in the realm of social networks. Each publication addresses different aspects of network dynamics, from centrality measures to community detection, and has been cited in various other research papers, reflecting their influence in the academic community.

Conclusion

Xiaoyu Zhu’s academic and professional journey is marked by his dedication to advancing the field of social network analysis through innovative computational methods. His education in science, engineering, and management, coupled with his extensive research in network science, positions him as an influential figure in his field. As a lecturer at Shandong Second Medical University, he has been instrumental in educating the next generation of researchers and practitioners, instilling in them the tools necessary for tackling complex data-related problems. His research contributions, especially in the areas of centrality measures and community detection, have garnered attention from both academics and professionals. With a solid track record of publications in high-impact journals, Zhu continues to push the boundaries of knowledge in the analysis of social networks. His continued research promises to influence the way networks are understood and analyzed, particularly in applied settings where network data plays a crucial role.

Zahid Sarwar | Big Data Analytics | Best Researcher Award

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Dr. Zahid Sarwar | Big Data Analytics | Best Researcher Award

Postdoctoral Researcher | Shanxi University | China 

Dr. Zahid Sarwar is a dedicated academic and researcher in the field of Business Management, currently serving as a postdoctoral researcher at Shanxi University, China. He earned his Ph.D. in Business Management from Dongbei University of Finance and Economics, Dalian, China, where his dissertation focused on enhancing innovativeness through digital capabilities. Dr. Sarwar’s research spans various topics, including strategic management, technology management, digitalization, and sustainable business strategies, all of which are critical to modern organizational success. With a strong background in both theoretical knowledge and practical application, he continues to contribute valuable insights to the academic community, with a focus on the intersection of technology and strategy.

Profile

Scholar

Education

Dr. Sarwar’s academic journey is marked by a robust foundation in Business Management and related fields. He completed his Ph.D. at Dongbei University of Finance and Economics in 2023, where his research examined the role of digital capabilities in enhancing innovation within organizations. Prior to his doctoral studies, he earned a Master’s in Project Management from COMSATS Institute of Information Technology, Abbottabad, Pakistan, where he achieved a CGPA of 3.37/4.0. His undergraduate studies in Business Administration were completed at Gomal University, Pakistan, in 2014, where he graduated with a CGPA of 2970/4200. These academic credentials, along with his diverse experiences, have equipped him with a deep understanding of business management and research methodologies.

Experience

Dr. Sarwar’s professional experience is a combination of research and practical roles. As a postdoctoral researcher at Shanxi University, his current work explores key topics such as information technology, sustainable strategies, and digitalization in management. Before this, he worked as a full-time research assistant at Iqra National University, Pakistan, where he assisted Dr. Ali with various research projects. Additionally, he gained industry experience as an administrative assistant at Lucky Cement Factory Ltd., assisting in routine administrative and procurement activities. These roles have helped Dr. Sarwar develop not only his research skills but also a strong ability to bridge the gap between academia and industry.

Research Interest

Dr. Sarwar’s research interests lie at the intersection of strategic management, digital transformation, and innovation. He is particularly interested in understanding how digital platforms, big data analytics, and technological capabilities can enhance organizational innovation and performance. His work also delves into sustainable business practices, including the role of organizational culture and strategic alignment in fostering long-term business success. Dr. Sarwar is passionate about exploring the dynamic capabilities that organizations can leverage to remain competitive in an increasingly digitalized business environment. His research has profound implications for managers and policymakers seeking to drive innovation through technology and sustainability.

Awards

Dr. Sarwar’s research excellence has been recognized by numerous academic institutions. He received an Honorary Credential Certificate from Dongbei University of Finance and Economics, highlighting his exceptional contributions to the field. He was also awarded the First Prize for Outstanding Paper in 2023 and the Second Prize for Outstanding Paper in 2022, both by Dongbei University of Finance and Economics. These awards reflect his ability to produce high-quality, impactful research that resonates within the academic community. His work continues to be acknowledged for its rigor and relevance in advancing the field of Business Management.

Publications

Dr. Sarwar’s publication record reflects his expertise in strategic management, digitalization, and sustainability. Notable publications include:

Sarwar, Z., Gao, J., & Khan, A. (2024). Nexus of digital platforms, innovation capability, and strategic alignment to enhance innovation performance in the Asia Pacific region: A dynamic capability perspective. Asia Pacific Journal of Management, 41(2), 867-901.

Sarwar, Z., Song, Z. H., Ali, S. T., Khan, M. A., & Ali, F. (2025). Unveiling the path to innovation: Exploring the roles of big data analytics management capabilities, strategic agility, and strategic alignment. Journal of Innovation & Knowledge, 10(1), 100643.

Sarwar, Z., & Song, Z. (2024). How to improve sustainable business performance: Examining the roles of organizational rationale for sustainability and green organizational culture. Sustainability Accounting, Management and Policy Journal. (Publishing soon)

Gao, J., & Sarwar, Z. (2024). How do firms create business value and dynamic capabilities by leveraging big data analytics management capability? Information Technology and Management, 25(3), 283-304.

Sarwar, Z., & Song, Z. (2023). Machiavellianism and affective commitment as predictors of unethical pro-organization behavior: exploring the moderating role of moral disengagement. Kybernetes.

Sarwar, Z., Khan, M. A., Yang, Z., Khan, A., Haseeb, M., & Sarwar, A. (2021). An Investigation of Entrepreneurial SMEs’ Network Capability and Social Capital to Accomplish Innovativeness: A Dynamic Capability Perspective. SAGE Open, 11(3).

Sarwar, Z., Khan, M. A., & Sarwar, A. (2021). The strategic management model for COVID-19: a race against time: evidence from People’s Republic of China. Gomal University Journal of Research, 37(3), 278-286.

Conclusion

Dr. Zahid Sarwar’s career trajectory showcases a profound commitment to advancing the field of Business Management through rigorous research and scholarship. His focus on digital transformation, sustainable strategies, and innovation reflects the growing demands of today’s global business environment. With numerous publications in top-tier journals and several prestigious awards, Dr. Sarwar has established himself as a significant contributor to both academic knowledge and practical business strategies. His continued research endeavors at Shanxi University promise to further advance our understanding of the complex relationships between digital capabilities, innovation, and sustainability, positioning him as a future leader in his field.