Amon Exavery | Social Sciences | Research for Community Impact Award

Dr. Amon Exavery | Social Sciences | Research for Community Impact Award

University of Dodoma | Tanzania

Dr. Amon Exavery is a distinguished statistician and epidemiologist whose research integrates advanced statistical modeling with population health studies to address pressing public health challenges in Tanzania and sub-Saharan Africa. His scholarly contributions span topics such as child and maternal health, HIV/AIDS prevention, household food security, and socioeconomic determinants of well-being. Through the application of multivariate and multilevel statistical methods, he has provided evidence-based insights into issues like early childbearing, breastfeeding practices, and healthcare access. His notable publications in leading international journals, including PLOS ONE, AIDS Research and Therapy, and the International Breastfeeding Journal, highlight his methodological rigor and commitment to data-driven policy solutions. Dr. Exavery’s recent work focuses on mixed-effects ordinal logistic regression and difference-in-differences estimators to evaluate community interventions, such as the WORTH Yetu program, aimed at improving household resilience and caregiver welfare. His interdisciplinary approach bridges statistical innovation and field epidemiology, contributing significantly to the understanding of health disparities, reproductive behavior, and social determinants of disease outcomes. Through his extensive research and evidence-based analyses, Dr. Exavery continues to advance the role of biostatistics and epidemiology in promoting equitable, sustainable health interventions across developing regions.

Profile : Orcid

Featured Publications

Exavery, A., Kirigiti, P. J., Balan, R. T., & Charles, J. (2026, February). Enhancing longitudinal impact evaluation of non-experimental interventions: A comparative analysis of generalized estimating equations and multilevel models based on empirical evaluation of temporal change in food security following an economic empowerment intervention. Evaluation and Program Planning.

Exavery, A., Kirigiti, P. J., Balan, R. T., & Charles, J. (2025). Determinants of participation in WORTH Yetu economic empowerment intervention among caregivers of orphaned and vulnerable children in Tanzania: A longitudinal multivariable logistic regression analysis. Social Sciences & Humanities Open.

Exavery, A., Kirigiti, P. J., Balan, R. T., & Charles, J. (2024, August). Longitudinal evaluation of the influence of WORTH Yetu on household economic status based on the count of non-asset resources for orphaned and vulnerable children’s well-being in Tanzania. Child Indicators Research.

Exavery, A., Katbi, M., Kirigiti, P. J., Balan, R. T., & Charles, J. (2024, April 16). Multivariate mixed-effects ordinal logistic regression models with difference-in-differences estimator of the impact of WORTH Yetu on household hunger and socioeconomic status among OVC caregivers in Tanzania. PLOS ONE.

Exavery, A., Alam, K., Charles, J., Barankena, A., Bajaria, S., Minja, E., Mulikuza, J., Mbwambo, T., Ally, A., Mseya, R., et al. (2022, February 25). Impact of household economic strengthening intervention on food security among caregivers of orphans and vulnerable children in Tanzania. PLOS ONE. 21, December). Accelerating caregivers’ HIV status disclosure to community-based lay social welfare volunteers in Tanzania. AIDS Research and Therapy.

Exavery, A., Charles, J., Barankena, A., Kuhlik, E., Mubyazi, G. M., Tani, K., Ally, A., Minja, E., Koler, A., Kikoyo, L., et al. (2020, December). ART use and associated factors among HIV positive caregivers of orphans and vulnerable children in Tanzania. BMC Public Health.

Charles, J., Exavery, A., Barankena, A., Kuhlik, E., Mubyazi, G. M., Abdul, R., Koler, A., Kikoyo, L., & Jere, E. (2020, December). Determinants of undisclosed HIV status to a community-based HIV program: Findings from caregivers of orphans and vulnerable children in Tanzania. AIDS Research and Therapy.

Bajaria, S., Exavery, A., Toroka, N., Barankena, A., Charles, J., Kikoyo, L., & Kassaye, S. (2020, December 27). Factors associated with HIV status disclosure to orphans and vulnerable children living with HIV: Results from a longitudinal study in Tanzania. AIDS Research and Treatment.

Bajaria, S., Marotta, C., Abdul, R., Exavery, A., Minja, E., Charles, J., Mtenga, S., Jere, E., & Geubbels, E. (2020, September 18). Programmatic determinants of successful referral to health and social services for orphans and vulnerable children: A longitudinal study in Tanzania. PLOS ONE.

Exavery, A., Charles, J., Kuhlik, E., Barankena, A., Ally, A., Mbwambo, T., Kyaruzi, C., Mubyazi, G. M., Kikoyo, L., & Jere, E. (2020, July). Correlates of uptake of antiretroviral therapy in HIV-positive orphans and vulnerable children aged 0–14 years in Tanzania. HIV/AIDS – Research and Palliative Care.

Exavery, A., Charles, J., Kuhlik, E., Barankena, A., Mubyazi, G. M., Kikoyo, L., & Jere, E. (2020, July). Relationship between food insufficiency and HIV infection among caregivers of orphans and vulnerable children in Tanzania. HIV/AIDS – Research and Palliative Care.

Exavery, A., Charles, J., Kuhlik, E., Barankena, A., Koler, A., Kikoyo, L., & Jere, E. (2020, February 28). Understanding the association between caregiver sex and HIV infection among orphans and vulnerable children in Tanzania: Learning from the USAID Kizazi Kipya Project. Preprint.

Exavery, A., Charles, J., Kuhlik, E., Barankena, A., Koler, A., Kikoyo, L., & Jere, E. (2020, February 5). Is caregiver sex associated with HIV infection among orphans and vulnerable children in Tanzania? Learning from the USAID Kizazi Kipya Project. Preprint.

Exavery, A., Charles, J., Kuhlik, E., Barankena, A., Koler, A., Kikoyo, L., & Jere, E. (2019, September 12). Closing the pediatric gap in the first 90: Is caregiver sex associated with HIV status of orphans and vulnerable children? Learning from the USAID Kizazi Kipya Project in Tanzania. Preprint.

Taehyun Lee | Economics, Econometrics and Finance | Best Researcher Award

Ms. Taehyun Lee | Economics, Econometrics and Finance | Best Researcher Award

Korea University | South Korea

Ms. Taehyun Lee is an emerging researcher whose scholarly work explores the intersection of behavioral economics and personality psychology. Her recent publication, “The Relationship Between Household Debt and the Big Five Personality Traits,” in the Journal of Behavioral and Experimental Economics , co-authored with Almas Heshmati, examines how individual personality dimensions influence financial decision-making and debt behavior. This study contributes to understanding the psychological underpinnings of economic actions and the broader implications for household financial stability. Ms. Lee’s research demonstrates a commitment to integrating quantitative analysis with behavioral insights to address real-world economic issues. According to citation metrics, her academic contributions have received 2 citations from 2 documents, reflecting growing recognition in the field. She holds an h-index of 1, underscoring the early but promising trajectory of her research career. Through her work, Ms. Lee adds valuable empirical evidence to the discourse on how personality traits shape economic behavior, offering meaningful implications for policy formulation, consumer behavior analysis, and financial literacy initiatives.

Profiles : Orcid | Google Scholar

Featured Publication

Lee, T., & Heshmati, A. (2025). The relationship between household debt and the Big Five personality traits. Journal of Behavioral and Experimental Economics, 119, 102468.

Hakan Tahiri Mutlu | Social Sciences | Best Researcher Award

Assoc. Prof. Dr. Hakan Tahiri Mutlu | Social Sciences | Best Researcher Award

Bolu Abant İzzet Baysal University | Turkey

Assoc. Prof. Dr. Hakan Tahiri Mutlu is a distinguished academic in the fields of business, statistics, and applied quantitative methods, with a research portfolio spanning management, e-commerce, sustainability, and decision-making techniques. He has authored 11 scholarly documents, which have collectively received 35 citations, and he holds an h-index of 4, reflecting the impact of his work. Dr. Mutlu earned his Ph.D. in Business from Düzce University in 2020 with a thesis on optimal warranty policies and later completed doctoral studies in Statistics at Gazi University in 2016, following a master’s degree in Business and a bachelor’s degree in Mathematics. Throughout his academic career, he has held positions ranging from research assistant to associate professor at Abant İzzet Baysal University, contributing significantly to the Department of Business and Quantitative Methods. He has supervised multiple master’s and doctoral theses on topics including structural equation modeling, employee satisfaction, decision-making systems, and technology adoption. His research outputs include publications in internationally peer-reviewed journals and contributions to scientific books, covering subjects such as ESG performance, food waste, social media addiction, e-commerce, and entrepreneurial capital. Dr. Mutlu has also been actively involved in national research projects and has served in administrative roles such as coordinator for scientific research projects, faculty board member, and deputy head of the department, demonstrating both scholarly and institutional leadership.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Tutar, H., Streimikiene, D., Mutlu, H. T., Kloudova, J., & Bilan, Y. (2025). Global food waste as an anti-sustainability trend: Analysis of economic and environmental impacts across countries. British Food Journal.

Tutar, H., Štreimikienė, D., & Mutlu, H. T. (2025). The relationship between ESG and financial performance in global firms: A multidimensional study across sectors and regions for the period 2015–2025. Corporate Social Responsibility and Environmental Management.

Tutar, H., Mutlu, H. T., & Streimikiene, D. (2025). Rethinking sustainable development: Multidimensional comparisons across countries and regions. Sustainable Development.

Akın, A., & Mutlu, H. T. (2025). Do Turkish physicians support euthanasia / death tourism? European Journal of Tourism, Hospitality and Recreation.

Akın, A., & Mutlu, H. T. (2025). The gastronomic product of the gastronomy city of Gaziantep: Menengiç coffee. Abant Sosyal Bilimler Dergisi.

Tutar, H., Mutlu, H. T., & Yüzen, İ. (2025). Regional disparities based on foreign trade and growth in TR42 and TR33 regions (2010–2024). Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi.

Tutar, H., Mutlu, H. T., & Uzun, H. (2025). Yöneticilerde empati yoksunluğu ölçeği: Geçerlilik ve güvenirlik çalışması [Lack of empathy in managers scale: Validity and reliability study]. Journal of Business Research - Turk.

Mutlu, H. T., Süvari, E., & Orhan, M. (2024). Coğrafi bilgi sistemi tabanlı çok kriterli karar verme yöntemi ile kaykay parkı yer seçimi: Bolu örneği [Skate park site selection using GIS-based multi-criteria decision method: Bolu case]. Abant Sosyal Bilimler Dergisi.

Tutar, H., & Mutlu, H. T. (2024). Dijital yorgunluk ölçeği (DİYÖ): Geçerlilik ve güvenirlik çalışması [Digital fatigue scale: Validity and reliability study]. İletişim Kuram ve Araştırma Dergisi.

Tutar, H., & Mutlu, H. T. (2024). Problematic digital technology use scale among university students: A validity and reliability study. Yuksekogretim Dergisi.

Ocel, Y., Mutlu, H. T., & Bayat, M. (2023). Determination of the relationship between lifestyle and impulsive purchasing behaviour. Marketing and Management of Innovations.

Tutar, H., & Mutlu, H. T. (2023). The mediating and regulatory role of organizational desensitization in the relationship between shrinkage of aim and loss of motivation. Yönetim ve Ekonomi Araştırmaları Dergisi.

Terzibaş, A., Mutlu, H. T., & Kavcar, B. (2023). Girişimcinin sahip olduğu bireysel girişimci sermayesi türlerinin girişim başarısına etkisi (TR42 bölgesinde bir araştırma) [The effect of individual entrepreneurial capital types on entrepreneurial success: A study in TR42 region]. Fiscaoeconomia.

Mutlu, H. T., & Yildiz, M. S. (2023). Determination of the optimal warranty policy and period from the manufacturer’s/seller’s perspective. Communications in Statistics - Simulation and Computation.

Seyedeh Azadeh Fallah Mortezanejad | Mathematics | Best Researcher Award

Dr. Seyedeh Azadeh Fallah Mortezanejad | Mathematics | Best Researcher Award

Jiangsu University | China

Author Profile

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Early Academic Pursuits

Dr. Seyedeh Azadeh Fallah Mortezanejad began her academic journey with a strong foundation in statistics, completing her undergraduate and postgraduate studies at Guilan University, Iran. Her master’s research on semi-parametric estimation of conditional copula reflected her interest in statistical theory and dependence structures. She advanced her academic training with doctoral research at Ferdowsi University of Mashhad, focusing on applications of entropy in statistical quality control, which laid the groundwork for her later interdisciplinary research.

Professional Endeavors

Following her doctoral studies, Dr. Mortezanejad pursued postdoctoral research at Jiangsu University in China, under the guidance of Professor Ruochen Wang. Supported by the National Natural Science Foundation of China, her work explored advanced applications of statistical inference in engineering systems. Her professional engagements span teaching, collaborative research, and presenting at international conferences, reflecting her role as both a researcher and an academic contributor.

Contributions and Research Focus

Her research lies at the intersection of statistics, data science, and engineering. She has significantly contributed to areas such as time series analysis, dependence data, deep learning, and statistical quality control. Her expertise in copula functions and entropy has enabled novel methods for addressing challenges in multivariate data analysis and control charts. More recently, her work integrates machine learning and physics-informed neural networks for solving complex problems in multivariate time series and image processing.

Accolades and Recognition

Dr. Mortezanejad’s scholarly contributions have been recognized through numerous publications in leading journals, including Entropy, Sankhya B, and Physica A. She has been invited to present her findings at international workshops in Germany, France, Vietnam, and Spain, underscoring her recognition in global research communities. Her role as a reviewer for reputed journals and conferences further reflects her professional standing in the field.

Impact and Influence

Through her interdisciplinary research, Dr. Mortezanejad has bridged the gap between theoretical statistics and practical applications in fields such as healthcare, engineering, and financial modeling. Her contributions to statistical quality control, machine learning applications, and Bayesian inference have influenced both academic discourse and applied research, making her work relevant across diverse scientific domains.

Legacy and Future Contributions

With her strong background in both theoretical and applied statistics, Dr. Mortezanejad is poised to continue advancing research in modern statistical methods, particularly in integrating entropy-based approaches with machine learning. Her future work is expected to focus on enhancing predictive analytics, developing robust statistical tools for big data, and contributing to sustainable innovations in engineering and healthcare.

Publications


Article: Physics-Informed Neural Networks with Unknown Partial Differential Equations: An Application in Multivariate Time Series
Authors: Seyedeh Azadeh Fallah Mortezanejad, Ruochen Wang, Ali Mohammad-Djafari
Journal: Entropy
Year: 2025


Article: Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms
Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
Journal: Entropy
Year: 2024


Article: Variational Bayesian Approximation (VBA) with Exponential Families and Covariance Estimation
Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
Journal: Physical Sciences Forum
Year: 2023


Article: Variational Bayesian Approximation (VBA): A Comparison between Three Optimization Algorithms
Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
Journal/Conference: MaxEnt 2022 (Conference Proceedings)
Year: 2023


Article: Evaluation of Anti-lice Topical Lotion of Ozonated Olive Oil and Comparison of its Effect with Permethrin Shampoo
Authors: Omid Rajabi, Atoosa Haghighizadeh, Seyedeh Azadeh Fallah Mortezanejad, Saba Dadpour
Journal: Reviews on Recent Clinical Trials
Year: 2022


Conclusion

Dr. Seyedeh Azadeh Fallah Mortezanejad’s career reflects a rare blend of statistical rigor, innovative application, and international recognition. Her early commitment to statistical theory, coupled with her interdisciplinary contributions, has positioned her as a rising figure in applied statistics and data science. With her expanding research footprint, she is set to leave a lasting impact on statistical research and its applications in science, technology, and industry.

Vishwanath Shervegar | Engineering | Best Researcher Award

Dr. Vishwanath Shervegar | Engineering | Best Researcher Award

Moodlakatte Institute of Technology Kundapura | India

Author Profile

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Early Academic Pursuits

Dr. Vishwanath Shervegar began his academic journey with a strong foundation in Electronics and Communication Engineering, which was nurtured at the undergraduate level. His pursuit of advanced studies led him to complete a postgraduate program in Digital Electronics and Advanced Communication, where he honed his expertise in applied electronics. His doctoral research in Biomedical Signal Processing marked a significant milestone, reflecting his deep commitment to bridging the gap between electronics and healthcare applications. These formative years shaped his academic curiosity, laying the groundwork for a career dedicated to innovation in biomedical instrumentation and computational methods.

Professional Endeavors

His professional career has been marked by consistent growth within the field of Electronics and Communication Engineering. Beginning as a lecturer, Dr. Shervegar steadily advanced through academic ranks, gaining experience across reputed institutions. His journey includes long-term service as an Assistant and Associate Professor before taking on the role of Professor at the Moodlakatte Institute of Technology. Alongside his teaching responsibilities, he has contributed to curriculum development, placement coordination, and mentorship, creating a strong academic environment that supports both research and student success. His professional endeavors highlight a balance between educational leadership and research advancement.

Contributions and Research Focus

The central focus of Dr. Shervegar’s research lies in biomedical signal processing, where he has developed novel methods for the analysis, classification, and denoising of phonocardiogram signals. His work demonstrates an integration of artificial intelligence and machine learning techniques with healthcare diagnostics, making significant contributions to cardiac signal processing and intelligent biomedical instrumentation. He has authored impactful research publications in reputed journals and contributed to book chapters that expand the scope of medical science and engineering integration. His innovative approaches, such as adaptive filtering techniques and wavelet scattering transforms, have advanced the precision and reliability of heart sound analysis.

Accolades and Recognition

Dr. Shervegar has earned recognition for his scholarly contributions through publications in highly indexed international journals and books published by leading academic publishers. His doctoral and postgraduate theses remain available in digital repositories, reflecting the academic value of his research. He has also been entrusted with responsibilities as a reviewer for multiple prestigious international journals from Elsevier and Springer, and has served as a technical program committee member for IEEE international conferences. His membership with the Institution of Electrical and Electronics Engineers as a senior member and his life membership with the Indian Society for Technical Education further highlight his professional stature.

Impact and Influence

Beyond his research contributions, Dr. Shervegar has had a significant impact on academic and research communities. His participation in international conferences, workshops, and faculty development programs has provided platforms to share knowledge and exchange innovative ideas with peers across the globe. By organizing workshops on signal and image processing using Python and participating in collaborative programs with institutions like IIT Madras and Binghamton University, he has fostered a culture of interdisciplinary learning. His mentorship has influenced many young researchers and students, inspiring them to pursue careers in electronics, biomedical engineering, and computational technologies.

Legacy and Future Contributions

The legacy of Dr. Shervegar lies in his contributions to integrating technology with healthcare solutions, particularly in the domain of biomedical signal processing. His research on phonocardiography stands as a pioneering effort in redefining cardiac auscultation with the support of artificial intelligence. Looking ahead, his focus on developing advanced algorithms, intelligent healthcare systems, and machine learning-based biomedical instruments is expected to shape the future of diagnostic methodologies. With his continuing academic leadership and dedication to interdisciplinary research, his future contributions promise to influence both the scientific and medical communities on a broader scale.

Publications


Article: Heart Sound Classification Technique for Early CVD Detection using Improved Wavelet Time Scattering and Discriminant Analysis Classifiers
Author: Vishwanath Madhava Shervegar
Journal: Informatics and Health
Year: 2025


Article: Event Synchronous Segmentation of Phonocardiogram – A New Frontier to Heart Sound Delineation
Author: Vishwanath Madhava Shervegar
Journal: Medicine and Medical Research: New Perspectives
Year: 2024


Article/Book Chapter: Sliding Window Adaptive Filter for Denoising PCG Signals
Authors: Vishwanath Madhava Shervegar, Jagadish Nayak
Book: 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment
Year: 2023


Book: 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment
Authors: Arun Kumar, Sumit Chakravarty, Mohit Kumar Sharma
Publisher: CRC Press
Year: 2023


Preprint Article: Continuous Wavelet Transform based Phonocardiogram Delineation Method
Contributor: Vishwanath Madhava Shervegar
Source: Europe PubMed Central (Preprint DOI: 10.21203/rs.3.rs-1416616/v1)
Year: 2022


Conclusion

In conclusion, Dr. Vishwanath Shervegar’s career exemplifies the meaningful integration of electronics, communication, and medical science, with his impactful research in biomedical signal processing and machine learning leaving a lasting influence on healthcare technology and continuing to drive innovation in the years to come.

Lubin Wang | Computer Science | Best Researcher Award

Mr. Lubin Wang | Computer Science | Best Researcher Award

Guilin Institute of Information Technology | China

Author Profile

Orcid

🎓 Early Academic Pursuits

Mr. Lubin Wang began his academic journey with a Bachelor's degree in Computer Science and Technology at Shanxi Datong University. His early years were marked by active engagement in software development projects, where he not only served as a core developer but also honed critical skills in modular design, teamwork, and leadership. His proactive involvement in both academic and extracurricular technology initiatives laid a strong foundation for his future research career. Notably, he contributed to an open-source database management tool on GitHub that garnered over 2.4k stars, reflecting early promise and innovation.

💼 Professional Endeavors

Following his undergraduate studies, Mr. Wang advanced his expertise by enrolling in a Master's program at Guilin University of Technology, in collaboration with the National Space Science Center of the Chinese Academy of Sciences. Throughout this period, he managed several interdisciplinary projects in high-tech domains including IoT, aerospace data systems, and smart manufacturing. As a project lead and software manager, Mr. Wang took charge of planning, coordinating, and executing complex software systems, displaying not only technical aptitude but also remarkable project governance.

🧠 Contributions and Research Focus

Mr. Wang’s research spans a diverse set of domains unified by a core theme—intelligent systems and automation. He spearheaded the design and implementation of a cloud-based smart printing factory platform that combined neural networks with physical control systems, achieving near-perfect detection accuracy. In the realm of smart cities, he developed a novel traffic-responsive lighting control algorithm and integrated it into a robust management platform supported by SpringBoot and MQTT protocols. His contributions to wind turbine diagnostics involved developing MATLAB-based reliability models, while his work on smart oil testing platforms showcased expertise in OCR, blockchain, and predictive analytics.

🏅 Accolades and Recognition

Mr. Wang has earned numerous accolades that reflect his academic excellence and technical mastery. He secured the First Prize at the National College Student English Vocabulary Challenge in both 2022 and 2023 and was recognized in various programming and language competitions. His academic performance also earned him prestigious scholarships and awards throughout his graduate studies. Beyond these formal recognitions, his influence extends to the online education community, where his Bilibili content channel has amassed thousands of views, demonstrating his ability to communicate complex ideas to broader audiences.

🌍 Impact and Influence

The practical impact of Mr. Wang’s work is far-reaching. His innovations in smart factory and city infrastructure have been piloted at major institutions, contributing to automation, safety, and efficiency. His software and hardware solutions have influenced how industrial faults are detected and managed, while his academic guidance has helped numerous graduate students succeed in their entrance examinations. Mr. Wang’s ability to bridge theory with real-world applications underscores his role as both a thinker and a doer in the field of intelligent systems.

🔮 Legacy and Future Contributions

Looking ahead, Mr. Wang is positioned to continue making transformative contributions to the fields of artificial intelligence, urban computing, and autonomous control systems. His trajectory suggests not only sustained innovation but also leadership in shaping the future of intelligent infrastructure and research-led development. As a mentor, researcher, and technology developer, Mr. Wang is building a legacy defined by curiosity, excellence, and a profound commitment to technological advancement.

Publications


📘 HYFF-CB: Hybrid Feature Fusion Visual Model for Cargo Boxes

Authors: Juedong Li, Kaifan Yang, Cheng Qiu, Lubin Wang, Yujia Cai, Hailan Wei, Qiang Yu, Peng Huang
Journal: Sensors
Year: 2025


📗 BSMD-YOLOv8: Enhancing YOLOv8 for Book Signature Marks Detection

Authors: Long Guo, Lubin Wang (陆斌 王), Qiang Yu, Xiaolan Xie
Journal: Applied Sciences
Year: 2024


📙 DYNet: A Printed Book Detection Model Using Dual Kernel Neural Networks

Authors: Lubin Wang (陆斌 王), Xiaolan Xie, Peng Huang, Qiang Yu
Journal: Sensors
Year: 2023


Zhigang Chen | Computer Science | Best Researcher Award

Mr. Zhigang Chen | Computer Science | Best Researcher Award

Central South University | China

Author Profile

Scopus

🎓 Early Academic Pursuits

Mr. Zhigang Chen embarked on his academic path in the field of Computer Science and Technology, eventually specializing in Computer Engineering. His formative education and early career reflect a strong focus on engineering fundamentals, technical proficiency, and emerging technologies.

🏢 Professional Endeavors

Mr. Chen currently serves as a Professor at the School of Computer Science, Central South University (CSU) in Changsha, Hunan Province, China. While he does not hold an administrative role, his professional impact is rooted in his extensive academic and instructional contributions. His core subject area lies in Computer Science and Engineering, with a specialized focus on the Internet of Things (IoT) and Distributed Systems.

🔍 Contributions and Research Focus

Mr. Chen’s research has significantly advanced fields such as IoT infrastructure, networked computing, and distributed teaching platforms. His academic influence also extends into curriculum development and instructional strategy, particularly in integrating practical and forward-looking technologies into the computer science education framework. His work fosters a solid technical foundation among students while equipping them with knowledge of future-facing innovations.

🏆 Accolades and Recognition

Mr. Chen has received national-level recognition for his contributions to software engineering education and technological instruction. His efforts have been pivotal in elevating the quality of teaching and research output at CSU, and he has played a role in formulating standards for curriculum structure and teaching methodologies in computer-related disciplines. He has been nominated to serve as Deputy Director of the Teaching Steering Committee for Software Engineering, a role that acknowledges both his leadership and subject matter expertise.

🌍 Impact and Influence

By actively contributing to the growth of IoT and distributed computing studies in China, Mr. Chen has helped shape a generation of computer science professionals. His work bridges engineering theory and applied innovation, with an impact visible in both academic circles and industrial collaboration. His guidance in curriculum reform and digital education platforms has influenced regional and national approaches to computer science education.

🌟 Legacy and Future Contributions

Mr. Zhigang Chen’s career is a testament to long-term dedication to educational excellence, technical innovation, and mentorship in engineering disciplines. As a thought leader in software engineering and emerging network technologies, he is poised to continue influencing the development of smart educational systems and integrated IoT frameworks. His future contributions will likely emphasize interdisciplinary learning environments, preparing students for the rapidly evolving technological landscape, and continuing to shape national education policy in computing.

Publications


📄SQID: A Deep Learning and Network Design Synergy for Next-Generation IoT Resource Allocation Management
Authors: A.M. Ibrahim, Ali M.A.; Z. Chen, Zhigang; Y. Wang, Yijie; H.A. Eljailany, Hala A.
Journal: Computer Communications
Year: 2025


📄 UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors
Authors: Y. Xu, Yi; Z. Chen, Zhigang; M. Zhao, Ming; J. Liu, Jiaqi; N. Kato, Nei
Journal: IEEE Open Journal of the Computer Society
Year: 2025


📄Parallel Support Vector Machine Algorithm Based on Relative Entropy and Cosine Similarity
Authors: Y. Mao, Yinmin; B. Quo, Binbin; J. Yi, Jianbing; Z. Chen, Zhigang
Journal: Computer Integrated Manufacturing Systems (CIMS)
Year: 2024


📄 Advancing 6G-IoT Networks: Willow Catkin Packet Transmission Scheduling with AI and Bayesian Game-Theoretic Approach-Based Resource Allocation
Authors: A.M. Ibrahim, Ali M.A.; Z. Chen, Zhigang; H.A. Eljailany, Hala A.; K.A. Abouda, Khalid A.; W.M. Idress, Wail M.
Journal: Internet of Things (Netherlands)
Year: 2024


Guanghui Lu | Mathematics | Best Researcher Award

Prof. Guanghui Lu | Mathematics | Best Researcher Award

Northwest Normal University | China

Author Profile

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Early Academic Pursuits 🎓

Dr. Guanghui Lu embarked on his academic journey with a Bachelor’s degree in Mathematics and Applied Mathematics from Lanzhou City University (2008-2012). He then pursued a Master’s degree in Fundamental Mathematics at Xinjiang University (2012-2015), refining his expertise in mathematical theories. His academic pursuits culminated in a Ph.D. in Applied Mathematics from Northwest Normal University (2015-2018), where he delved into advanced mathematical models and computational techniques.

Professional Endeavors 🏛️

Since joining Northwest Normal University, Dr. Lu has demonstrated unwavering commitment to research and teaching. He began as a lecturer in the School of Mathematics and Statistics (2018-2020) and later became an Associate Professor (2021-present). His role involves mentoring students, conducting groundbreaking research, and contributing to the academic community through extensive collaborations.

Contributions and Research Focus 🔬

Dr. Lu’s research primarily revolves around mathematical analysis, operator theory, and Morrey spaces. He has significantly contributed to the study of integral operators, commutators, and fractional calculus on various mathematical structures. His work has explored bilinear singular integral operators, Calderón-Zygmund operators, and fractional Morrey spaces, which are crucial in modern mathematical analysis and its applications in physics and engineering.

His ongoing research projects include:
📌 National Natural Science Foundation of China (NSFC) – Youth Science Fund Project (2023-2025): Investigating the properties of Littlewood-Paley operators in maximal function spaces (30 million CNY).
📌 NSFC Regional Science Fund Project (2024-2027): Studying core operators on nonhomogeneous metric measure spaces (27 million CNY).

Accolades and Recognition 🏆

Dr. Lu has published numerous influential papers in prestigious mathematical journals, including:
Bulletin des Sciences Mathématiques (2023, 2025)
Mathematische Nachrichten (2024)
Annals of Functional Analysis (2024)
Nagoya Mathematical Journal (2022)

As the sole first author and corresponding author in all his papers, he has cemented his position as a leading researcher in his field.

Impact and Influence 🌍

Dr. Lu’s research has significantly influenced mathematical analysis, particularly in operator theory and function spaces. His findings contribute to solving complex problems in applied mathematics, with implications in physics, data analysis, and computational sciences. His mentorship of students and collaboration with fellow researchers further amplifies his academic impact.

Legacy and Future Contributions 🚀

With ongoing research projects and a steady stream of high-impact publications, Dr. Guanghui Lu is poised to make lasting contributions to mathematical sciences. His future work will likely explore deeper aspects of functional analysis and integral operators, reinforcing the role of mathematics in scientific advancements. Dr. Lu’s dedication to research, teaching, and knowledge dissemination ensures his continued prominence in the field of mathematics.

Publications


📄 Bilinear singular integral operators with generalized kernels and their commutators on product of (grand) generalized fractional (weighted) Morrey spaces
Author(s): G. Lu (Guanghui Lu), M. Wang (Miaomiao Wang), S. Tao (Shuangping Tao), R. Liu (Ronghui Liu)
Journal: Bulletin des Sciences Mathématiques
Year: 2025


📄 Bilinear Θ-type generalized fractional integral and its commutator on product of generalized fractional weighted Morrey spaces
Author(s): G. Lu (Guanghui Lu), Z. Zhang (Zheng Zhang)
Journal: Bulletin des Sciences Mathématiques
Year: 2024


📄 Θ-type fractional Marcinkiewicz integral operators and their commutators on some spaces over RD-spaces
 Author(s): G. Lu (Guanghui Lu), W. Tao (Wenwen Tao)
 Journal: Journal of Pseudo-Differential Operators and Applications
 Year: 2024


📄 Fractional type Marcinkiewicz integral and its commutator on grand variable Herz-Morrey spaces
 Author(s): X. Chen (Xijuan Chen), G. Lu (Guanghui Lu), W. Tao (Wenwen Tao)
 Journal: Journal of Pseudo-Differential Operators and Applications
 Year: 2024


Bita Mashayekhi | Business, Management and Accounting | Editorial Board Member

Prof. Bita Mashayekhi | Business, Management and Accounting | Editorial Board Member

University of Tehran | Iran

Author Profile

Scopus

Orcid

Early Academic Pursuits 🌟

Prof. Bita Mashayekhi's academic journey is a testament to her unwavering commitment to excellence in accounting education. She earned her Ph.D. in Accounting from the University of Tehran (1999–2004), where she graduated as the top-ranked student with a stellar GPA of 84/100. Her academic achievements began even earlier, with a first-ranked M.S. in Accounting from Shahid Beheshti University (1996–1998) and a B.S. from the Petroleum University of Technology (1992–1996), where she was recognized as an excellent student with a GPA of 90/100.

Professional Endeavors 🚀

Prof. Mashayekhi has a distinguished career in academia, spanning nearly two decades. She has served as a Professor of Accounting at the University of Tehran since 2023, following her tenure as an Associate Professor (2011–2023) and Assistant Professor (2005–2010). Her teaching repertoire includes vital subjects such as Financial Accounting, Managerial Accounting, and Corporate Governance, which have shaped countless students and professionals. Her international academic exposure includes a position at the University of Northern British Columbia and a visiting professorship at Sharif University of Technology. Beyond academia, her professional expertise extends to roles in financial reporting, internal auditing, and corporate governance consulting for prominent Iranian organizations.

Contributions and Research Focus 🔍

Prof. Mashayekhi's research is marked by her leadership in sustainability reporting, corporate social responsibility (CSR), and corporate governance frameworks. She has contributed to major projects funded by industry leaders like Kharg Petrochemical Company and Morvarid Petrochemical Company. Her work has led to pioneering frameworks for CSR reporting and operational budgeting in public universities. Her extensive publications in high-impact journals delve into ESG pillars, audit quality, and financial performance analysis, reflecting her significant contributions to the accounting and financial sciences domain.

Accolades and Recognition 🏆

Prof. Mashayekhi's illustrious career has been adorned with numerous accolades. She has been recognized as a "Distinguished Associate Dean-Education" (2021) and "Distinguished Teacher" (2017) at the University of Tehran's Teaching Festivals. Her academic journey has consistently been marked by excellence, being ranked first in her Ph.D. entrance exam and graduating as the top student in both her Ph.D. and M.S. programs. These honors highlight her exceptional capabilities as a scholar, educator, and mentor.

Impact and Influence 🌍

Through her leadership roles, including Associate Dean and Head of the Accounting Department at the University of Tehran, Prof. Mashayekhi has influenced the academic and professional accounting landscape. Her consultancy for major organizations such as FANAP, Tehran Securities Exchange Technology Management Co., and Amin Investment Bank has bridged academia and industry, fostering innovation and practical solutions in corporate governance and financial reporting.

Legacy and Future Contributions ✨

Prof. Mashayekhi's legacy lies in her ability to integrate academic rigor with practical application, creating impactful frameworks for sustainability and corporate governance. Her mentorship of numerous Ph.D. and Master's students ensures a lasting influence on future generations of accountants and auditors. As she continues to contribute through research, consultancy, and teaching, her future endeavors promise to shape the evolving field of accounting, leaving an indelible mark on both academia and industry.

 

Publications


📘 Perceived Internal Audit Quality and External Auditors’ Attributes in Iranian and Iraqi Banks
Journal: Journal of Risk and Financial Management  Year: 2024
Authors: Bita Mashayekhi, Yousif Mohammed


📘The Relative Importance of ESG Pillars: A Two-Step Machine Learning and Analytical Framework
Journal: Sustainable Development  Year: 2024
Authors: Bita Mashayekhi, Kaveh Asiaei, Zabihollah Rezaee, Amin Jahangard, Milad Samavat, Saeid Homayoun


📘The Controversial Link between CSR and Financial Performance: The Mediating Role of Green Innovation
Journal: Sustainability  Year: 2023
Authors: Saeid Homayoun, Bita Mashayekhi, Amin Jahangard, Milad Samavat, Zabihollah Rezaee


📘Mapping the State of Expanded Audit Reporting: A Bibliometric View
Journal: Meditari Accountancy Research Year: 2023
Authors: Bita Mashayekhi, Ehsan Dolatzarei, Omid Faraji, Zabihollah Rezaee


📘 The Role of Stakeholders' Perception in Internal Audit Status: The Case of Iran
Journal: Journal of Accounting in Emerging Economies  Year: 2021
Author: Bita Mashayekhi


 

John Yata Raymond Lubari | Business, Management and Accounting | Best Researcher Award

Mr. John Yata Raymond Lubari | Business, Management and Accounting | Best Researcher Award

University of Science and Technology of China | China

Author Profile

Orcid

Google Scholar

Early Academic Pursuits 📘

Mr. John Yata Raymond Lubari’s academic journey began with a Bachelor’s degree in Statistics and Demography from the University of Bahr El-Ghazal in South Sudan (2009-2014). Building on his passion for analytical and quantitative studies, he pursued a Master’s degree in Management Science and Engineering at Harbin Institute of Technology, China (2015-2018). Currently, he is a Ph.D. candidate at the University of Science and Technology of China, specializing in Statistics and Finance, with a focus on advanced statistical modeling and dynamic algorithms. His educational background is marked by a commitment to academic excellence and research innovation.

Professional Endeavors 🌟

Mr. Lubari has made significant contributions as both an academic and a professional in humanitarian and development sectors. As a lecturer at the University of Bahr El-Ghazal (2019-2023), he educated and mentored students in Business Administration and Statistics, fostering a generation of informed professionals. His NGO work includes roles as a Monitoring and Evaluation Officer for the Norwegian Refugee Council (2021-2023) and CEPO (2020-2021), where he designed data collection tools and implemented impactful projects. As a Gender-Based Violence Volunteer for SEFERWORLD (2018-2019), he actively engaged in community training and awareness campaigns, demonstrating his dedication to societal development.

Contributions and Research Focus 🔬

Mr. Lubari’s research is rooted in addressing complex statistical problems and advancing knowledge in fields like Bayesian Statistics, Recommendation Systems, and Non-Stationary Bandit Problems. His ongoing Ph.D. research focuses on Non-Stationary Multi-Armed Bandits, exploring the delicate balance of exploration-exploitation trade-offs in dynamic environments.

He has published impactful research, such as his study on Chadian gum Arabic trade using an augmented gravity model and an investigation into the interplay between tuberculosis elimination and HIV/AIDS in South Sudan. These works underscore his commitment to combining theoretical rigor with practical applications.

Accolades and Recognition 🏆

Mr. Lubari’s work has earned recognition in both academic and professional circles. His published studies in international journals like Sustainability and presentations at global conferences, including the World Congress on Patient Safety & Quality Healthcare in London, highlight his contributions to global knowledge. His ability to navigate and contribute to diverse fields reflects his interdisciplinary expertise and leadership.

Impact and Influence 🌍

Through his academic and professional endeavors, Mr. Lubari has significantly influenced education, statistical research, and community development. His leadership in designing and implementing data-driven projects has enhanced the effectiveness of developmental initiatives. By mentoring students and collaborating with communities, he has helped bridge knowledge gaps and empowered individuals to contribute meaningfully to society.

Legacy and Future Contributions 🌟

As a scholar and practitioner, Mr. Lubari's legacy lies in his ability to integrate statistical expertise with real-world applications. His ongoing Ph.D. research and diverse professional experiences position him to contribute innovative solutions in finance, statistics, and humanitarian projects. With a focus on education, interdisciplinary research, and global collaboration, his future contributions promise to further advance both academia and social impact initiatives.

 

Publications


📝 Article: Assessing Potential and Impact Factors Driving Chadian Gum Arabic International Trade Based on the Augmented Gravity Model
Author: John Yata Raymond Lubari
Journal: Sustainability
Year: 2024


📝 Article: The Factors Impact Tuberculosis Disease Elimination on HIV/AIDS in South Sudan
Author: John Yata Raymond Lubari
Journal: International Journal of Science and Research (IJSR)
Year: 2018


📝 Article: Impact of TB Elimination on HIV/AIDS in South Sudan
Author: John Yata Raymond Lubari
Journal: Journal of Patient Care / World Congress on Patient Safety & Quality Healthcare, London, UK
Year: 2017