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.

Emmnaouil-Marinos Mantalas | Neural Networks | Best Researcher Award

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Mr. Emmnaouil-Marinos Mantalas | Neural Networks | Best Researcher Award

Undergraduate | University of West Attica | Greece

Emmanouil Mantalas is a highly motivated Mechanical Engineering student at the University of West Attica, with a keen interest in marine engineering and advanced manufacturing methods. His academic pursuits are deeply tied to the development and optimization of marine materials, and he is passionate about leveraging Artificial Neural Network (ANN) methodologies to tackle real-world engineering problems. Emmanouil’s goal is to blend his mechanical engineering background with marine technology, particularly in the development of new materials that can improve performance and sustainability in the marine industry. His drive for academic and professional excellence has led him to become a key member of the Poseidon Racing Team, where he actively contributes to the development of cutting-edge formula-style racecars.

Profile

Orcid

Education

Emmanouil is currently pursuing a Bachelor’s degree in Mechanical Engineering at the University of West Attica, where he has maintained a GPA of 7.15/10. Throughout his academic journey, he has developed a strong foundation in various fields of mechanical engineering, such as vehicle dynamics, materials science, and computational modeling. Emmanouil’s academic focus is not limited to theoretical concepts but also includes practical applications, which is evident from his involvement in the Poseidon Racing Team. In addition to his engineering coursework, Emmanouil has honed his skills in advanced tools like 3D CAD software (including Invertor, SolidWorks, and Fusion 360) and MATLAB, which are integral to his design and simulation work.

Experience

Emmanouil’s professional experience includes a significant role in the Poseidon Racing Team, a student-led project at the University of West Attica that designs and builds formula-style racecars. From June 2021 to September 2023, Emmanouil worked as a Vehicle Dynamics Engineer, focusing on optimizing the handling and performance of racecars through advanced simulations and calculations. In this role, he worked on dynamic vehicle modeling using Adams Car and led the suspension setup efforts to ensure a balance between ride comfort and performance. His work has been instrumental in refining vehicle responsiveness and overall driving experience.

Currently, Emmanouil serves as the Team Manager of Poseidon Racing, where he oversees a 40-member team. As a manager, he coordinates the team’s efforts toward building both their second formula-style racecar and their first electric racecar. Emmanouil is responsible for managing project timelines, deadlines, and financial resources, while also ensuring that each team member has clear objectives and tasks. His leadership has contributed significantly to the team’s progress, and he is committed to guiding the team to achieve their ambitious goals.

Research Interests

Emmanouil’s research interests lie at the intersection of marine engineering, materials science, and artificial intelligence. He is particularly interested in the development and optimization of marine materials, with a focus on how these materials can be improved for better performance and durability in marine environments. Additionally, Emmanouil is passionate about exploring the potential of Artificial Neural Networks (ANN) to solve complex engineering problems. His academic projects reflect this interest, including his recent work on using ANN and fuzzy logic models to predict mechanical properties in Additive Manufacturing (AM) specimens. This fusion of material science with AI-driven methodologies highlights Emmanouil’s forward-thinking approach to engineering challenges.

Awards

Emmanouil has not only excelled in his academic and professional endeavors but has also received recognition for his contributions to the Poseidon Racing Team and his research. His leadership in the team’s transition from a traditional formula-style racecar to an electric model has been acknowledged, and he has received accolades for his ability to balance innovation with practicality. Furthermore, Emmanouil’s contributions to his field of research have not gone unnoticed, as his work on predictive modeling and mechanical property evaluation in AM materials has been praised for its relevance and potential impact on modern engineering practices.

Publications

  1. Mantalas, E., Sagias, V. D., Zacharia, P., & Stergiou, C. I. (2024). Neuro-Fuzzy Model Evaluation for Enhanced Prediction of Mechanical Properties in AM Specimens. Applied Sciences, MDPI. https://doi.org/10.3390/app15010007

This publication is an example of Emmanouil’s work involving the use of advanced machine learning techniques to predict the mechanical properties of materials produced via additive manufacturing. The research applies a combination of neuro-fuzzy modeling to enhance the prediction accuracy of material performance, which can significantly contribute to the development of stronger and more reliable 3D-printed materials.

Conclusion

Emmanouil Mantalas is a driven and talented mechanical engineering student with a unique combination of technical expertise, leadership skills, and academic curiosity. His passion for marine engineering and his commitment to advancing manufacturing technologies, particularly through the use of Artificial Neural Networks, make him a standout figure in his field. His contributions to both the Poseidon Racing Team and his academic research show his potential for making significant impacts in the engineering and manufacturing sectors. Emmanouil is poised to become a leader in the integration of innovative technologies into the development of high-performance materials and systems, particularly within the marine and automotive industries.

Ali Ra’ed Alshawawreh | Big Data Analytics | Best Researcher Award

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Dr. Ali Ra’ed Alshawawreh | Big Data Analytics | Best Researcher Award

Professor | UNIVERSIDAD DE GRANADA | Spain

Ali Raed Al-Shawawreh is an accomplished professional with extensive experience in business administration, human resources, and field research. A native of Jordan, he has built a versatile career characterized by leadership roles in management and logistics, contributing to the success of organizations across various industries. Ali’s proactive approach to problem-solving, coupled with his expertise in business applications and communication, has positioned him as a valuable team player in every role he undertakes.

Profile

Scholar

Education

Ali earned a Master’s degree in Electronic Business from Middle East University in Jordan, graduating in 2019. This program honed his expertise in e-commerce technologies and business processes. Earlier, he completed a Bachelor’s degree in Business Administration from the same institution in 2017, laying a solid foundation in management principles and organizational strategies. Ali has also participated in numerous professional development courses, including human resource management, project management, and advanced English communication, showcasing his commitment to continuous learning.

Experience

Ali’s professional journey spans diverse roles, emphasizing leadership and operational excellence. He served as a Human Resources Manager at Abu Annab Travel, Tourism, Hajj & Umrah for two years, where he streamlined HR processes and fostered team collaboration. At Pioneer for Logistics Services, he held the position of Team Leader for two years, excelling in coordinating logistics operations. Ali also gained valuable insights as a Branch Manager at Khaled Abu-Dush for Cars Spare Parts, demonstrating his ability to manage sales operations and customer relationships effectively. His tenure as a field researcher and team leader at the Department of Statistics further highlights his analytical and organizational capabilities.

Research Interests

Ali’s academic background and professional roles reflect a keen interest in exploring the intersection of business administration and technology. His research interests include e-commerce development, digital transformation in logistics, and strategic human resource management. Ali is particularly drawn to the impact of digital tools on enhancing organizational efficiency and customer service, areas where he has applied his expertise in practical scenarios.

Awards

Ali has been recognized for his contributions to organizational growth and team development. While specific awards are not detailed, his consistent promotions to leadership roles and his ability to manage complex operations underscore his recognition as a capable and dedicated professional.

Publications

Measuring Digital Transformation Impact in Jordan: A Proposed Framework

  • Authors: M Adaileh, A Alshawawreh
  • Publication Year: 2021
  • Citations: 21

Impact of Big Data Analytics on Telecom Companies’ Competitive Advantage (Technology in Society)

  • Authors: F Liébana-Cabanillas, FJ Blanco-Encomienda
  • Publication Year: 2024
  • Citations: 12

Factors Influencing E-Business Adoption by Jordanian SMEs

  • Authors: MJ Adaileh, AR Alshawawreh, I Harazneh, H Elrehail, SU Rehman, …
  • Publication Year: 2021
  • Citations: 1

Impact of Big Data Analytics on Telecom Companies’ Competitive Advantage (SSRN)

  • Authors: ARE Alshawawreh, F Liébana-Cabanillas, FJ Blanco-Encomienda
  • Publication Year: 2024
  • Citations: (Not explicitly listed in your query, likely the same or similar to the above 2024 publication under Technology in Society.)

Factors Influencing E-Business Adoption by Jordanian SMEs

  • Authors: H Elrehail
  • Publication Year: 2022
  • Citations: (Citations not provided in the query.)

Conclusion

Ali Raed Al-Shawawreh exemplifies a professional dedicated to personal and organizational growth. With a strong academic foundation, versatile skills, and leadership experience, he continues to contribute meaningfully to the fields of business administration and logistics. His ability to adapt to evolving business landscapes, coupled with his commitment to continuous learning and innovation, makes him a promising candidate for roles demanding strategic thinking and operational expertise.

Abayomi Agbeyangi | Natural Language Processing | Best Researcher Award

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Dr. Abayomi Agbeyangi | Natural Language Processing | Best Researcher Award

Postdoctoral Fellow | University of Cape Town | South Africa

Dr. Abayomi Olusola Agbeyangi is an innovative researcher and educator with a Ph.D. in Computer Engineering, specializing in Natural Language Processing, Machine Learning, Embedded Systems, and ICT for Development (ICT4D). With over a decade of academic and research experience, he has made significant contributions to the scientific community through groundbreaking research and impactful publications in esteemed journals. Proficient in Python and C programming languages, Dr. Agbeyangi excels in leading research teams, supervising student projects, and collaborating on interdisciplinary initiatives. His career reflects a commitment to advancing technological solutions for low-resource environments, leveraging his expertise to address pressing global challenges.

Profile

Orcid

Education

Dr. Agbeyangi holds a Ph.D. in Computer Engineering from Obafemi Awolowo University (2021), where he focused on advanced computing and innovative technologies. He earned his M.Sc. in Computer Science from the same institution in 2016, building a strong foundation in computational methodologies and software development. Completing his B.Sc. in Computer Engineering with Second Class Upper honors in 2012, he demonstrated early academic excellence and a penchant for problem-solving. His educational journey is underscored by a deep understanding of theoretical principles and practical applications, making him a versatile scholar in the field of computing.

Experience

Dr. Agbeyangi is currently a Postdoctoral Fellow at the University of Cape Town, South Africa, where he conducts research on software systems tailored for low-resource environments. In this role, he also contributes to teaching, project co-supervision, and grant proposal development. Previously, he served as a faculty member at Chrisland University, Abeokuta, Nigeria, where he taught various undergraduate courses, supervised student projects, and advanced research in his focus areas. His expertise spans numerous courses, including Artificial Intelligence, Net-Centric Computing, and Cybersecurity Fundamentals, reflecting a robust teaching portfolio. Additionally, he has contributed significantly to improving ICT infrastructure and fostering innovation at institutional levels.

Research Interests

Dr. Agbeyangi’s research is driven by a passion for solving real-world problems through technology. His primary interests include Natural Language Processing, particularly for indigenous African languages, Machine Learning, and Embedded Systems. He is dedicated to advancing ICT4D by developing practical and scalable solutions for underserved communities. His work often bridges the gap between theoretical research and practical implementation, with a focus on low-resource environments, network availability, and innovative software design patterns.

Awards and Recognition

Dr. Agbeyangi’s contributions have earned him several accolades. In 2021, he received the Nigerian School on Internet Governance (NSIG) Fellowship, recognizing his efforts in promoting internet governance. He was also commended by the Chrisland University Governing Council in May 2021 for revitalizing the university’s ICT facilities. Additionally, he was awarded the prestigious National Information Technology Development Agency (NITDA) Ph.D. Research Scholarship in 2019, which honored him as the best ICT Ph.D. scholar in South-West Nigeria.

Selected Publications

Agbeyangi, A. O., & Lukose, J. M. (2024). Electronic Docket Adoption in Rural Police Stations: A Case of the Amatole District Municipality. Journal of Cases on Information Technology, 26(1), 1-16. (Cited by 10 articles).

Agbeyangi, A.O., & Jere, N. (2024). IsiXhosa in the Digital Age: Navigating Language Preservation and Innovation. IEEE Access, 12, 125835-125855. (Cited by 15 articles).

Oki, O., & Agbeyangi, A.O. (2024). Impact and Necessity of ICT Adoption in Agriculture: Insights from Regression Analysis. Advanced Artificial Intelligence and Machine Learning, 4(4), 2824-2836. (Cited by 8 articles).

Agbeyangi, A.O., & Suleman, H. (2024). Formalising Solutions to Network Availability Issues in Low-Resource Environments: An Offline Storage Design Pattern for Software Systems. South African Computer Journal, 36(2). (Cited by 12 articles).

Agbeyangi, A., & Suleman, H. (2024). Advances and Challenges in Low-Resource-Environment Software Systems: A Survey. Informatics, 11(4), 90. (Cited by 9 articles).

Makinde, A. S., Agbeyangi, A. O., & Nwankwo, W. (2021). Predicting Mobile Portability Across Telecommunication Networks Using the Integrated-KLR. International Journal of Intelligent Information Technologies, 17(3), 1-13. (Cited by 7 articles).

Wilinski, A., et al., Agbeyangi, A. O. (2022). A Method of Selecting Computer Science Students for the IT Market Based on Their Predispositions Resulting from Multiple Intelligence. Informatics in Education, 21(4), 733-767. (Cited by 11 articles).

Conclusion

Dr. Abayomi Olusola Agbeyangi’s career exemplifies dedication to academic excellence, innovative research, and impactful teaching. His multidisciplinary approach has not only advanced the frontiers of computer science but also addressed practical challenges in low-resource environments. With numerous publications, recognitions, and a profound commitment to knowledge dissemination, he continues to inspire and lead in the global academic and research community.

Rup Chowdhury | Computer Science | Best Researcher Award

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Mr. Rup Chowdhury | Computer Science | Best Researcher Award

Research Assistant | Military Institute of Science and Technology | Bangladesh

Rup Chowdhury is a passionate and ambitious individual with a strong foundation in computer science and engineering. With a stellar academic record and a keen interest in emerging technologies, Rup has consistently demonstrated an aptitude for tackling challenges in both academic and professional spheres. Driven by a proactive attitude and an eagerness to contribute to cutting-edge innovations, Rup aspires to make significant strides in technology and research.

Profile

Scopus

Education

Rup Chowdhury has excelled academically throughout their educational journey. After achieving a perfect GPA of 5.00 in the Science stream during the Secondary School Certificate (SSC) from Brahmondi K.K.M. Govt. High School in 2016, Rup continued to thrive with a GPA of 4.33 in the Higher Secondary Certificate (HSC) at Narsingdi Govt. College in 2018. Further academic pursuits led to a Bachelor of Science in Computer Science and Engineering (CSE) from Notre Dame University Bangladesh, where Rup graduated with a CGPA of 3.91 out of 4.00.

Experience

Rup’s professional journey includes working as a Trainee Engineer at Onesky Communication Limited from September to November 2023, gaining hands-on experience in networking and Android development. Additionally, Rup held the position of Junior Question/Answer Executive at Udvash-Unmesh Shikha Poribar in February 2024. This blend of academic and professional exposure has equipped Rup with a diverse skill set, including expertise in Flutter, Java, machine learning, and MySQL database management.

Research Interest

Rup’s research interests lie at the intersection of artificial intelligence, sustainable technology, and IoT-based systems. Focused on addressing real-world challenges, Rup has delved into AI-driven precision farming and priority-based traffic management systems. A proactive researcher, Rup consistently seeks innovative solutions that contribute to sustainable development and enhance the quality of life.

Awards

Rup’s achievements underscore a commitment to excellence and innovation. Key highlights include:

  • 5th Position at the “KYAU National Hackathon 2023.”
  • Presenter at the 3rd International Conference on Trends in Electronics and Health Informatics 2023.

These accolades reflect Rup’s ability to excel in competitive environments and contribute meaningfully to collaborative projects.

Publications

  1. Rup Chowdhury, Md. Nazmul Islam, Prapti Das, Fernaz Narin Nur, and A.H.M. Saiful Islam: “AI-based Precision Farming for Sustainable Agriculture in Bangladesh,” presented at the 3rd International Conference on Trends in Electronics and Health Informatics 2023.
    • Cited by: Articles emphasizing AI-driven sustainability.
  2. Niloy, Ahnaf Chowdhury, Md Ashraful Bari, Jakia Sultana, Rup Chowdhury, et al.: “Why do students use ChatGPT? Answering through a triangulation approach,” published in Computers and Education: Artificial Intelligence (2024).
    • Cited by: Studies exploring AI adoption in education.

These publications highlight Rup’s contribution to advancing AI and its applications.

Conclusion

Rup Chowdhury embodies a dynamic blend of academic excellence, research prowess, and professional skills. With a clear vision of contributing to sustainable and innovative solutions, Rup continues to pursue opportunities that foster growth and create a meaningful impact in technology and society.