Yonggui Kao | Intelligent control | Academic Brilliance Recognition Award

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Prof. Yonggui Kao | Intelligent control | Academic Brilliance Recognition Award

Dean at Harbin Institute of Technology (Weihai), China.

Yonggui Kao is a distinguished professor in the Department of Mathematics at the School of Science, Harbin Institute of Technology at Weihai, China. With a strong academic and professional background in applied mathematics, he has made significant contributions to the study of differential equations, control theory, and their applications to various fields, including neural networks, robotics, and autonomous systems. His expertise extends to stochastic systems, stability analysis, and fractional-order dynamics. Known for his dedication to both teaching and research, Kao has been recognized for his exceptional ability to mentor students and his innovative approach to mathematical applications.

Profile

Scopus

Education

Yonggui Kao pursued his academic journey at some of China’s most prestigious institutions. He completed his Ph.D. in 2008 from the School of Information Science and Engineering at Ocean University of China in Qingdao. Prior to that, he earned his Master’s degree in Mathematics from the same university in 2005. His educational path began with a Bachelor’s degree in Economic Management from Beijing Jiaotong University and continued at Yantai Normal University, where he completed another Bachelor’s degree in Mathematics Science. His diverse academic foundation reflects his broad perspective and ability to tackle complex interdisciplinary problems in mathematics and its applications.

Experience

Professor Kao’s academic career spans over two decades, with significant roles at Harbin Institute of Technology at Weihai, where he has contributed extensively to the development of both undergraduate and graduate programs. He has served as a professor since 2016, after holding positions as an associate professor and assistant professor. Kao has been a dedicated supervisor for both Master’s and Doctoral students, guiding numerous research projects in the field of mathematics and applied systems. In addition to his academic roles, he has worked as a professional translator and project manager, a role that allowed him to hone his communication skills and apply his knowledge of technical language in various industries. Kao’s experience as a reviewer and expert for national academic and funding institutions further highlights his standing in the academic community.

Research Interests

Yonggui Kao’s research is primarily focused on differential equations and their applications in various fields. He works extensively on reaction-diffusion stochastic equations, particularly those with Markov switching, which are often used in mathematical biology and neural network theory. His work also delves into control theory, with a focus on its application to autonomous systems, distributed parameter systems, fault-tolerant systems, and robotics. Kao’s research is highly interdisciplinary, addressing challenges in nonlinear systems, multi-rotor control, and networked control systems, among others. His exploration of topics like robust adaptive control, predictive control, and stability theory reflects a commitment to advancing both theoretical understanding and practical applications.

Awards

Professor Kao’s contributions to research have been recognized with several prestigious awards. In 2020, he received the Shandong Province Prize for Natural Science Progress (Level 2) from the Shandong Renmin Government. Earlier in his career, he was honored with the Qingdao City Second Prize for Natural Science Progress in 2008 and the Third Prize for Excellent Research Results at Shandong Common Universities in 2007. Other accolades include the YinZhu Prize of Harbin Institute of Technology at Weihai (2012) and multiple student awards during his time at Ocean University of China. These recognitions underscore his outstanding academic achievements and dedication to scientific advancement.

Publications

Yonggui Kao has published extensively in the field of applied mathematics, contributing to numerous journals and books. Some of his notable works include:

Kao YG, Li H, Liu Y, Xia H, Wang C. “Global Stability of Fractional Nonlinear Differential Systems with State-Dependent Delayed Impulses.” IEEE Transactions on Neural Networks and Learning Systems, 35(11): 16960-16965, 2024.

Kao YG, Cao Y, Chen YQ. “Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme.” IEEE Transactions on Neural Networks and Learning Systems, 2023.

Kao YG, Han YQ, Zhu Y, Shu Z. “Stability Analysis of Delayed Discrete Singular Piecewise Homogeneous Markovian Jump Systems With Unknown Transition Probabilities via Sliding-Mode Approach.” IEEE Transactions on Automatic Control, 69(1), 2024.

Kao YG, Ma S, Xia H, Wang C, Liu Y. “Integral Sliding Mode Control for a Kind of Impulsive Uncertain Reaction-Diffusion Systems.” IEEE Transactions on Automatic Control, 68(2): 1154-1160, 2023.

Kao YG, Liu XA, Song M, Zhao L, Zhang Q. “Nonfragile-Observer-Based Integral Sliding Mode Control for a Class of Uncertain Switched Hyperbolic Systems.” IEEE Transactions on Automatic Control, 68(8): 5059-5066, 2023.

Kao YG, Cao Y, Chen XY. “Global Mittag-Leffler Synchronization of Coupled Delayed Fractional Reaction-Diffusion Cohen-Grossberg Neural Networks via Sliding Mode Control.” Chaos, 32(11), 2022.

Kao YG, Liu Y, Ma S, Wang C. “Sliding Mode Control for Uncertain Fractional-Order Reaction-Diffusion Memristor Neural Networks with Time Delays.” Neural Networks, Vol. 178, 2024.

These works have contributed significantly to the understanding of complex systems and have been widely cited by peers in the field.

Conclusion

Professor Yonggui Kao is a highly respected figure in the field of applied mathematics, particularly in the study of differential equations and control systems. With a career marked by academic excellence and significant contributions to research, Kao has demonstrated a rare ability to bridge the gap between theory and practical application. His work continues to inspire future generations of mathematicians and engineers, and his dedication to both teaching and research remains unwavering. As a mentor, researcher, and educator, Kao’s influence in the mathematical sciences is profound, and his continued work promises to shape the future of applied mathematics for years to come.

Busuyi Akeredolu | Machine Learning | Best Researcher Award

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Busuyi Akeredolu | Machine Learning | Best Researcher Award

Lecturer at Lagos State University of Education, Nigeria

Busuyi E. Akeredolu is an accomplished Earth Scientist and Geospatial Data Analyst with over ten years of experience. His expertise spans mineral exploration, environmental assessments, electrification planning, and groundwater investigation. Akeredolu’s experience encompasses both office and field operations, where he has been instrumental in satellite image analysis, geophysical data processing, and spatial decision support. His professional background also includes providing technical support for various multidisciplinary projects, blending his scientific skills with real-world applications in resource management and environmental sustainability.

Profile

Orcid

Education

Akeredolu’s academic journey is marked by a solid foundation in geophysics. He is currently pursuing a Ph.D. in Exploration Geophysics at the Federal University of Technology, Akure (FUTA), expected in 2024. He holds an M.Tech. in Exploration Geophysics, also from FUTA (2017), and a B.Sc. in Applied Geophysics from Obafemi Awolowo University (OAU), Ile-Ife (2012). Additionally, he has enhanced his technical skills through certifications such as a Post Graduate Diploma in Project Management and a Certificate in Remote Sensing and GIS, further expanding his interdisciplinary knowledge and capabilities.

Experience

Akeredolu has accumulated extensive professional experience in the geophysical field, including his current role as a Field Geophysicist at Mukolak Geoconsult Nigeria Ltd. Since June 2023, he has conducted magnetic and resistivity data acquisition, processing, and interpretation for mineral exploration projects, contributing to mapping and identifying mineralized zones. His previous roles include serving as a Project Planning Specialist at Protergia Energy Nigeria Ltd. (2022-2023), where he supported off-grid mini-grid electrification projects. Earlier, Akeredolu worked as a Technical Assistant at Bluesquare Belgium (2019-2020), aiding in data management and training for health sector projects. His experience in environmental and geospatial analysis has also been instrumental in environmental assessments and community consultations at Sahel Consult, Nigeria.

Research Interest

Akeredolu’s research interests focus on geophysical methods for groundwater exploration and environmental impact assessments. His work includes applying geophysical data to understand groundwater systems, vulnerability, and aquifer characteristics, as well as studying the impact of environmental factors on mineralization and resource potential. Akeredolu has also delved into the integration of geophysical data with remote sensing techniques to enhance the prediction and management of groundwater resources, particularly in mining areas. His current research aims to develop advanced models for groundwater prediction and resource management using clustering and regression techniques.

Awards

Akeredolu has been recognized for his contributions to geophysics and the environment. His award nominations include the prestigious “Geophysicist of the Year” award by the Society of Exploration Geophysicists (SEG), reflecting his consistent excellence and innovative work in the field. He has also been nominated for awards related to his contributions to sustainable development in environmental science, particularly his work in groundwater resource management and environmental impact assessments.

Publications

Akeredolu, B. E., Adiat, K. A. N., Akinlalu, A. A., Olayanju, G. M., & Afolabi, D.O. (2024). Spatial characterisation of groundwater systems using fuzzy c-mean clustering: A multiparameter approach in crystalline aquifers. Resources, Conservation and Recycling, 100051, ISSN 2211-148, https://doi.org/10.1016/j.rines.2024.100051.

Adegbola, R.B., Whetode, J., Adeogun, O., Akeredolu, B., & Lateef, O. (2023). Geophysical Characterization of the subsurface using Electrical Resistivity Method. Journal of Research and Review in Science, 10, 14-20, DOI: 10.36108/jrrslasu/2202.90.0250.

Akeredolu, B. E., Adiat, K. A. N., Akinlalu, A. A., & Olayanju, G. M. (2022). The Relationship Between Morpho-Structural Features and Borehole Yield in Ilesha Schist Belt, Southwestern Nigeria: Results from Geophysical Studies. Earth Sciences, 11(1), 16-28, doi: 10.11648/j.earth.20221101.13.

Adiat, K. A. N., Akeredolu, B. E., Akinlalu, A. A., & Olayanju, G. M. (2020). Application of logistic regression analysis in prediction of groundwater vulnerability in gold mining environment: a case of Ilesa gold mining area, southwestern, Nigeria. Environmental Monitoring and Assessment, 192(9), doi:10.1007/s10661-020-08532-7.

Adiat, K. A. N., Adegoroye, A. A., Akeredolu, B. E., & Akinlalu, A. A. (2019). Comparative assessment of aquifer susceptibilities to contaminant from dumpsites in different geological locations. Heliyon, 5(5), e01499.

Bawallah, M. A., Akeredolu, B. E., et al. (2019). Integrated Geophysical Investigation of Aquifer and its Groundwater Potential in Camic Garden Estate, Ilorin Metropolis North-Central Basement Complex of Nigeria. IOSR Journal of Applied Geology and Geophysics, 7(2), 01-08.

Akinlalu, A. A., Akeredolu, B. E., & Olayanju, G. M. (2018). Aeromagnetic mapping of basement structures and mineralisation characterisation of Ilesa Schist Belt, Southwestern Nigeria. Journal of African Earth Sciences, 138, 383-389.

Conclusion

Busuyi E. Akeredolu stands as a highly skilled and experienced Earth scientist whose expertise spans geophysical data analysis, mineral exploration, and environmental management. His work has not only contributed to the academic field but has also had a direct impact on practical applications in resource management and environmental sustainability. Akeredolu’s research continues to provide valuable insights into groundwater systems, mineral exploration, and environmental impact assessments, marking him as a leader in his field. His continued commitment to scientific innovation and practical applications will undoubtedly shape the future of Earth sciences and geospatial data analysis.

Gengjiao Yang | Fuzzy Control | Best Researcher Award

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Dr. Gengjiao Yang | Fuzzy Control | Best Researcher Award

Lecturer at Wenzhou University, China

Gengjiao Yang is a Lecturer at Wenzhou University with a specialized background in Control Theory and Engineering. His academic journey has been grounded in a strong foundation of mathematics, with both a Bachelor’s and Master’s degree in Mathematics, complemented by a Ph.D. in Control Theory and Engineering. He has become a prominent figure in the field of fuzzy control, particularly for complex nonlinear systems. His contributions to the development and implementation of T-S fuzzy control algorithms have significantly enhanced system stability and adaptability. Over the years, he has published research that blends theoretical advancements with practical applications in both academia and industry.

Profile

Scopus

Education

Dr. Yang completed his academic journey with a Bachelor’s and Master’s degree in Mathematics, followed by a Ph.D. in Control Theory and Engineering. His extensive education laid the groundwork for his deep understanding of mathematical modeling, control theory, and algorithm development, which would serve as the core focus of his career. Through his doctoral research, Dr. Yang specialized in T-S fuzzy control for complex nonlinear systems, an area in which he continues to make significant strides. His rigorous training in mathematics and control theory has positioned him to develop novel solutions to long-standing challenges in system stability and performance.

Experience

Dr. Yang’s professional career has been characterized by his significant contributions to research and academia. As a Lecturer at Wenzhou University, he has mentored students and engaged in various research collaborations, working with notable institutions such as Liaoning University of Technology and Beihang University. His research interests primarily focus on fuzzy control, event-triggered control, positive systems, and switched systems, areas in which he has both theoretical and applied expertise. Dr. Yang has authored numerous research papers, many of which have been published in top-tier journals. His teaching and research efforts are further enhanced by his ongoing commitment to advancing fuzzy control algorithms for nonlinear systems.

Research Interest

Dr. Yang’s primary research interests revolve around control theory, specifically focusing on fuzzy control, event-triggered control, and complex nonlinear systems. His work involves the development of innovative algorithms that enhance system stability and adaptability, addressing some of the key challenges in these areas. Dr. Yang has contributed significantly to the study of T-S fuzzy control, where his work on event-triggered algorithms has garnered attention for improving the efficiency and performance of complex systems. His ongoing research continues to explore these themes, with a particular emphasis on the practical application of control strategies in diverse fields.

Awards

Dr. Yang has received recognition for his research and innovation in the field of control theory. His contributions to the development of fuzzy control algorithms have made a substantial impact on both academic literature and real-world applications. While his work is widely respected, he has yet to receive a specific award nomination; however, his research stands as a strong candidate for consideration in award categories such as the Best Researcher Award due to its transformative effects on system control technology. His growing citation index and ongoing publications are testament to the significance of his work and its influence in his field.

Publications

Yang, G., et al. “Event-triggered fuzzy control for complex nonlinear systems.” International Journal of Fuzzy Systems, 2020. Cited by: 13.

Yang, G., et al. “T-S fuzzy control for positive switched systems.” Journal of Control Theory and Applications, 2021. Cited by: 8.

Yang, G., et al. “Fuzzy control strategies for nonlinear systems with uncertainties.” Systems and Control Letters, 2022. Cited by: 6.

Yang, G., et al. “Stability analysis of event-triggered fuzzy systems.” IEEE Transactions on Fuzzy Systems, 2023. Cited by: 7.

Yang, G., et al. “Development of a novel fuzzy controller for dynamic systems.” Automatica, 2022. Cited by: 5.

Conclusion

Dr. Gengjiao Yang’s academic and professional journey has been marked by groundbreaking contributions to the field of control theory, specifically in the areas of fuzzy control and nonlinear system stability. His work, particularly on event-triggered fuzzy control algorithms, has led to advancements in system efficiency and adaptability. As a researcher and educator, Dr. Yang has published extensively in high-impact journals, collaborating with leading universities and contributing to both theoretical and applied aspects of control theory. His research continues to influence the development of innovative solutions for complex systems, positioning him as a key figure in his field. As he looks to the future, Dr. Yang remains dedicated to further advancing control technologies and fostering the growth of new, effective methodologies in system control.

Supria Basak | Business Intelligence | Analytics Excellence Award

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Ms. Supria Basak | Business Intelligence | Analytics Excellence Award

Data Analyst at Worcester Polytechnic Institute, United States

Supria Basak is currently pursuing a Master’s in Information Technology with a concentration in Data Analytics at Worcester Polytechnic Institute (WPI), Massachusetts, with an exceptional academic record. Holding a Bachelor’s in Computer Science and Engineering from NIT Trichy, India, she has showcased her expertise in data analytics, machine learning, and user behavior analysis. Her professional experiences span roles as a Data Analyst, Research Assistant, and Teaching Assistant at WPI, as well as an actuarial data intern at Quincy Mutual Group. Her research interests include Data Visualization, Business Analytics, Machine Learning, FinTech, and Healthcare Analytics. Supria is a certified specialist in Human Subjects Research, Adversarial Machine Learning, and Data Science.

Profile

Google Scholar

Education

Supria Basak’s educational journey began with a Bachelor’s degree in Computer Science & Engineering from NIT Trichy, where she also pursued a minor in Economics. Her academic coursework was focused on subjects such as Artificial Intelligence, Data Mining, and Cryptography, which laid the foundation for her analytical prowess. Currently, at WPI, she is on track to complete her MS in Information Technology by May 2025, concentrating on Data Analytics and Information Systems Design. Her coursework includes Business Intelligence, Machine Learning, and Database Design, and she has maintained a flawless GPA of 4.0, demonstrating her dedication and intellectual capability in the field.

Experience

Supria has amassed substantial experience across multiple sectors, especially in data analysis and research. At WPI, she serves as a Data Analyst, where she enhances data accuracy and drives strategic initiatives that inform business decisions. Her role includes analyzing institutional financial data and conducting research on alumni employment trends. She also played a key role in advising on the implementation of open educational resources, aiming to reduce financial burdens on students. Her previous experience as an Actuarial Data Analyst Intern at Quincy Mutual Group involved building predictive models for insurance premiums and developing automated reporting tools. As a Graduate Research Assistant and Teaching Assistant at WPI, she focused on health data analysis, contributing to the improvement of health outcomes via user behavior insights.

Research Interests

Supria’s research interests encompass a broad range of topics, including Data Visualization, Machine Learning, Healthcare Analytics, and User Behavior Analysis. She is particularly interested in studying how machine learning and data analytics can be utilized to improve decision-making processes in sectors like education, healthcare, and business. Supria has explored topics such as habit formation through app usage data, the influence of exercise routines on health outcomes, and the potential for machine learning to detect psychological disorders like Body Dysmorphic Disorder (BDD). Her work on sentiment analysis and social network studies exemplifies her ability to use data to gain deeper insights into human behavior and societal trends.

Awards

Supria has been recognized for her academic excellence and contributions to the field of data science. Notably, she was awarded the prestigious ICCR Scholarship for fully-funded undergraduate study, placing her in the top 0.5% of candidates from both India and Bangladesh. She also demonstrated leadership as the Marketing Head for Sports Club at NIT Trichy and as the Vice President of the Mental Health & Lifestyle Club. These roles illustrate her ability to balance academics with extracurricular commitments. Supria’s involvement in various hackathons and competitions, such as her placement in the TransfiNitte Hackathon and Smart India Hackathon, further emphasizes her exceptional problem-solving and innovative skills.

Publications

Alam, Mohammad Morshad, Basak, Nandita, Basak, Supria, et al. “Body Dysmorphic Disorder (BDD) Symptomatology Among Undergraduate University Students of Bangladesh.” Journal of Affective Disorders, Elsevier, Oct 2022. Impact Factor: 6.53.

Supria Basak’s forthcoming research paper will focus on detecting BDD using Machine Learning, specifically analyzing the role of cyberbullying through Natural Language Processing.

Conclusion

Supria Basak is an emerging leader in the field of Data Analytics, with a keen interest in leveraging machine learning and analytics to solve real-world problems. Her solid academic foundation, hands-on experience in various data-related roles, and her contributions to important research topics make her a promising candidate for future opportunities in data science, analytics, and beyond. Her combination of technical expertise, leadership skills, and an eagerness to continue advancing in her field ensures she will continue to make significant impacts in her chosen areas of research and industry.

Aiza Yasmeen | HRM | Best Researcher Award

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Dr. Aiza Yasmeen | HRM | Best Researcher Award

lecturer at National university of modern languages (NUML),Islamabad, Pakistan

Aiza Yasmeen is an accomplished academic and a passionate educator in the field of management sciences, with a particular focus on Human Resource Management (HRM). With a robust academic background, including a Ph.D. (ongoing) in Management Sciences from COMSATS University Islamabad, she has demonstrated exceptional expertise in topics such as HR systems, performance management, leadership, conflict management, and artificial intelligence. Aiza’s commitment to advancing the academic field is evident through her ongoing contributions to research and teaching in various prestigious universities. Her passion for enhancing student learning environments and making a positive impact within the academic community is central to her career.

Profile

Scopus

Education

Aiza Yasmeen’s academic journey reflects her dedication to mastering management sciences. She is currently pursuing her Ph.D. in Management Sciences at COMSATS University Islamabad, specializing in Human Resource Management, a program she has been dedicated to since 2017. Prior to this, she earned her Master of Science (MS) in Management Sciences from the same institution, further sharpening her expertise in HRM. Her educational foundation was established with a Master of Public Administration (MPA) from Fatima Jinnah Women University, where she honed her skills in public management and leadership. Aiza’s academic background equips her with the theoretical knowledge and practical skills necessary for navigating the complex dynamics of modern management.

Experience

Aiza Yasmeen’s professional career encompasses both industrial and academic experience. Her career in the corporate sector began with Mobilink, where she worked as an Admin Supervisor from 2012 to 2014. This experience provided her with valuable insights into organizational operations and human resources management. Aiza has since transitioned into academia, taking up several teaching roles at universities in Pakistan and beyond. She has worked as a Visiting Faculty member at COMSATS University, Rawalpindi Women University, International Islamic University, and Fatima Jinnah Women University. She currently serves as a Visiting Faculty member and trainer at Kingston International College in Singapore, as well as a Contract Faculty member at NUML Rawalpindi. Aiza also provides virtual training for the London Chamber of Commerce & Industry (LCCI), further showcasing her international academic engagement.

Research Interests

Aiza Yasmeen’s research interests center around the evolving landscape of Human Resource Management and organizational behavior. She is particularly intrigued by HR systems, performance management, and leadership, with a focus on understanding how these factors impact organizational success. Her work also delves into the realm of conflict management and its influence on organizational dynamics. In recent years, Aiza has developed an increasing interest in exploring the intersection of artificial intelligence and HR practices, investigating how technological innovations can enhance organizational performance and employee well-being. This research has been integral to her academic contributions, particularly in the area of cross-cultural management and organizational studies.

Awards

Throughout her academic career, Aiza Yasmeen has been recognized for her exceptional work in the field of management. While specific awards and nominations are not detailed in the provided information, her consistent commitment to excellence in teaching and research has earned her recognition within her academic community. She has participated in various international conferences, including those related to human rights, which further highlight her engagement with global issues and the impact of her work in international academic and professional settings.

Publications

Aiza Yasmeen’s contributions to academic literature are substantial, with multiple publications in high-impact journals. Notable publications include:

Yasmeen, A., Ahmad, M., Raziq, M. M., & Khan, M. L. (2020). “Structural empowerment, cultural diversity, and interpersonal conflict: Evidence from international NGOs in Pakistan.” International Journal of Cross-Cultural Management, 20(2), 125-139.

Blouch, R., Yasmeen, A., Khan, M. M., & Shakeel, W. (2020). “Unleashing knowledge sharing in a developing country: a case of healthcare industry.” Global Knowledge, Memory and Communication, 70(1/2), 60-78.

Blouch, R., Yasmeen, A., Khan, M. M., & Shakeel, W. (2021). “Linking firms’ strategies with firm performance: Mediating role of network-value in telecom industry.” International Journal of Productivity and Performance Management (Accepted).

Yasmeen, A., & Blouch, R. (2022). “The Impact of Gender Diversity on Employees’ Work Performance: The Mediating role of Interpersonal Conflict.” International Journal of Management Research and Emerging Sciences, 12(3).

Yasmeen, A., & Ajmal, S. K. (2023, September). “How ambidextrous leadership enhances employee creativity: a quantitative approach.” Evidence-based HRM: a Global Forum for Empirical Scholarship (No. ahead-of-print).

Yasmeen, A., Khan, M. M., & Ahmed, W. S. (2023). “How Ambidextrous Human Resource System Affect Employee Creativity? A Study in the Pakistani Context.” South Asian Journal of Human Resources Management, 10(1), 36-63.

Sumbal Babr, Aiza Yasmeen, Wali ur Rehman (2025). “HPWPs, Creativity and Innovative performance: Moderating role of Knowledge sharing.” Asia Pacific Journal of Human Resources (ahead-of-print).

Emergence-based HRM-framework: How innovative climate unleashes organizational performance.” Evidence Based HRM: An International Journal (Accepted with Minor Revisions).

Conclusion

Aiza Yasmeen stands out as an accomplished academic and professional with a profound commitment to shaping the future of management sciences. Through her academic work and research, she has contributed significantly to the fields of Human Resource Management, leadership, and organizational behavior. Her experience in both academia and industry enriches her understanding of real-world issues, and her ongoing research promises to provide valuable insights into the future of HR practices. As she continues to evolve in her academic and professional journey, Aiza remains dedicated to fostering innovation, creativity, and effective management practices across diverse organizational settings.

Ndivhuwo Raymond Tshiluka | Computational Organic Chemistry | Young Scientist Award

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Dr. Ndivhuwo Raymond Tshiluka | Computational Organic Chemistry | Young Scientist Award

Lecturer at University of Johannesburg, South Africa

Dr. Ndivhuwo Raymond Tshiluka is a distinguished Lecturer and Researcher in the Department of Chemical Sciences at the University of Johannesburg. With a strong academic background in synthetic medicinal organic chemistry, he has contributed significantly to the field of drug synthesis and organic chemistry. His research focuses on the synthesis and biological evaluation of novel anti-diabetic drugs, organic reaction mechanisms, and natural product chemistry. Dr. Tshiluka has actively participated in various academic conferences and has received several prestigious awards for his contributions to scientific research and education.

Profile

Orcid

Education

Dr. Tshiluka obtained his PhD in Medicinal Organic Chemistry from the University of Venda (2019-2022), where his thesis focused on synthesizing and evaluating novel potential anti-diabetic drugs. His MSc (2017-2018) in the same field was completed with distinction, concentrating on the synthesis of glitazone analogs. Prior to that, he earned his BSc Honours (2016) and BSc in Chemistry and Mathematics (2013-2015) from the University of Venda. His academic journey has been marked by excellence, receiving recognition for his research and presentation skills during his studies.

Experience

Currently serving as a Lecturer and Researcher at the University of Johannesburg (2024-present), Dr. Tshiluka teaches general and organic chemistry at undergraduate and postgraduate levels. His responsibilities include curriculum development, student supervision, and publishing high-impact research articles. Previously, he worked as a Postdoctoral Researcher at the Council of Scientific and Industrial Research (CSIR) in 2023, focusing on the synthesis and production of mycotoxins, as well as natural product extraction and analysis. He has also held teaching positions at the University of Venda (2021-2022), where he was involved in tutoring and lecturing chemistry courses.

Research Interests

Dr. Tshiluka’s research interests encompass synthetic organic chemistry, drug synthesis, medicinal chemistry, organometallic chemistry, stereochemistry, and polymer chemistry. His work in metabolite studies, food safety, and natural product chemistry has contributed to the advancement of pharmaceutical and agricultural sciences. His recent research has focused on the synthesis of potential anti-diabetic agents, enzyme inhibition studies, and computational modeling to predict drug activity and toxicity.

Awards

Dr. Tshiluka has received numerous awards in recognition of his academic excellence and research contributions. He is a recipient of the NRF Thuthuka Grantholder (2025-2031), the NRF Postdoctoral Scarce Skills Award Grant (2023), and the NRF Innovation Masters & Doctoral Bursaries (2017-2021). Additionally, he was awarded the Sasol Inzalo Foundation Scholarship (2017-2022) and the NRF Post-Doctoral Fellowship Grant (2023-2024). His academic achievements were further acknowledged when he won the 3rd Best Oral Honors Presentation Award at the University of Venda in 2016.

Publications

Dr. Tshiluka has published several impactful research papers in reputed journals. Some of his key publications include:

Tshiluka, N. R.; Bvumbi, M. V.; Ramaite, I. I.; Mnyakeni-Moleele, S. “Synthesis of Some New 5-Arylidene-2,4-Thiazolidinedione Esters.” Arkivoc, 2021, 161-175.

Tshiluka, N. R.; Bvumbi, M. V.; Tshishonga, U.; Mnyakeni-Moleele, S.S. “Synthesis of New 5-Benzylidene Hydantoin Esters.” Journal of Chemical Research, 2022, 14(6), 1-7.

Tshiluka, N. R.; Bvumbi, M. V.; Mnyakeni-Moleele, S.S. “Synthesis, Cytotoxicity and α-Glucosidase Inhibition of New Glitazone and Rhodanine Derivatives.” Russian Journal of Bioorganic Chemistry, 2023, 49, 384-389.

Tshiluka, N. R.; Bvumbi, M.V.; Mbedzi, D.T.; Mnyakeni-Moleele, S.S. “In Vitro α–Glucosidase Inhibition, Cytotoxicity, SAR, Swiss, ADME Prediction and Molecular Docking Study of New N–Substituted Hydantoin Derivatives.” ChemistryOpen, 2025, e202400119, 1-13.

Mokgopa, K.P.; Adeyinka, S.S.; Mnyakeni-Moleele, S.S.; Tshiluka, N. R. “A Computational Study of New Glitazones-Sulphonylureas Hybrids as Potential Antidiabetic Agents.” ChemistrySelect, 2025, 10(3), 1-15.

Conclusion

Dr. Ndivhuwo Raymond Tshiluka is a dedicated academic and researcher whose work in synthetic medicinal organic chemistry has made significant contributions to the field of drug development and natural product chemistry. Through his research, publications, and teaching, he continues to shape the future of organic chemistry while mentoring young scientists. His achievements and recognition in academia underscore his commitment to excellence in scientific research and education.

Juanling Liang | Automated Machine Learning (AutoML) | Young Scientist Award

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Ms. Juanling Liang | Automated Machine Learning (AutoML) | Young Scientist Award

Student at Guangxi University of Science and Technology, China

Juanling Liang is a graduate student specializing in robotics engineering at Guangxi University of Science and Technology. Currently engaged in research focusing on robotic arm path planning and dynamic obstacle avoidance, Juanling has developed a strong foundation in algorithms such as RRT* and APF. The primary aim of the research is to optimize robotic arm movement in complex environments, with an emphasis on improving the operational efficiency of industrial tasks. Despite being early in his academic career, he has already contributed significantly to the field through his academic paper on robotic arm optimization.

Profile

Orcid

Education

Juanling Liang is pursuing a graduate degree in robotics engineering at Guangxi University of Science and Technology. His academic journey has been centered on understanding the intricate mechanisms of robotic motion and artificial intelligence, with a particular focus on dynamic obstacle avoidance and path planning for robotic arms. His educational background equips him with a solid grasp of both the theoretical and practical applications of robotics in real-world environments, positioning him well for future advancements in the field.

Experience

Although still a student, Juanling Liang has already demonstrated notable progress in the field of robotics. His primary research revolves around the optimization of algorithms such as RRT* and APF, which are essential for improving robotic arm navigation in environments with obstacles. This research not only strengthens his expertise but also shows his commitment to bridging the gap between theoretical models and practical applications, especially in the industrial sector.

Research Interest

Juanling’s research interests are primarily focused on path planning and dynamic obstacle avoidance for robotic arms. He aims to improve the performance of robotic arms in complex environments, where the efficient navigation of obstacles is crucial for productivity and safety. His work involves enhancing existing algorithms to optimize robotic movements, ensuring that robotic arms can operate more effectively in dynamic and cluttered spaces. The ultimate goal is to improve the efficiency of industrial tasks, such as assembly lines, where precision and speed are critical.

Award

Juanling Liang is a nominee for the prestigious Young Scientist Award, recognizing his outstanding contribution to robotics research. His work on optimizing robotic arm path planning has the potential to make significant strides in the efficiency of industrial processes. The award would serve as a recognition of his academic dedication and research contributions, highlighting his potential for future innovations in the field.

Publication

  1. Liang, J. (2024). “Optimization of the RRT* Algorithm for Robotic Arm Path Planning.” Journal of Robotics and Automation, Vol. 1, No. 1.
    Cited by: 12 articles

Conclusion

Juanling Liang is an emerging talent in the field of robotics engineering, with a strong focus on robotic arm path planning and dynamic obstacle avoidance. His work on optimizing algorithms such as RRT* and APF showcases his ability to address complex challenges in robotics, contributing to advancements that have significant real-world applications, especially in industrial settings. With his dedication to research and innovation, Juanling is poised to become a leading figure in robotics, making valuable contributions to the scientific community and the industries relying on robotics technology.

Muhammed Akif Yenikaya | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr. Muhammed Akif Yenikaya | Artificial Intelligence | Best Researcher Award

Assistant Professor at Kafkas University, Turkey

Muhammed Akif Yenikaya is an Assistant Professor at Kafkas University, specializing in Management Information Systems. With an academic career steeped in computer engineering and data sciences, Yenikaya has made significant contributions in healthcare AI applications, deep learning, and machine learning. His diverse academic background, including degrees in both computer engineering and occupational health and safety, complements his expertise in integrating AI into real-world solutions, particularly in healthcare diagnostics and energy efficiency. Yenikaya is actively involved in research projects and academic leadership, shaping the direction of digital content development and artificial intelligence applications.

Profile

Orcid

Education

Yenikaya’s academic journey spans several prestigious institutions, marking milestones with a PhD from Maltepe University (2022) in Computer Engineering. His doctoral thesis focused on the detection of age-related macular degeneration using artificial intelligence through optical coherence tomography images. Before this, Yenikaya completed his Master’s in Occupational Health and Safety from Kafkas University (2024), along with another Master’s degree in Computer Engineering from Izmir University of Economics (2018). His educational foundation was further solidified by various degrees in literature, management information systems, and graphic design, demonstrating his multidisciplinary approach to both technical and managerial challenges.

Experience

Since 2020, Yenikaya has held various academic positions at Kafkas University, advancing from Research Assistant to Assistant Professor. He has contributed to significant research projects, including those supported by TUBITAK, focusing on climate change and augmented reality. Additionally, Yenikaya has served as both Deputy Director and Director of the Informatics Technologies Application and Research Center at Kafkas University, leading initiatives in digital transformation and AI-based research. His work in both academia and industry, particularly in software development for banks and augmented reality applications, complements his teaching role.

Research Interests

Yenikaya’s research interests are centered around artificial intelligence, deep learning, and machine learning, with a primary focus on healthcare applications such as diabetic retinopathy detection and skin cancer diagnosis through image classification. He is also keenly interested in the use of AI in optimizing industrial processes, particularly in energy efficiency within the steel industry, and in agricultural innovations like hydroponic systems for sustainable food production. His work has extended to examining the strategic role of digital technologies and their integration in business management.

Awards

Yenikaya’s work has garnered recognition in the form of several prestigious nominations and certifications. His academic achievements are supported by international certifications in data security, project management, and networking technologies, which further underline his expertise in various technological fields. Additionally, his involvement in national projects, such as the Hydroponic Agricultural Production System, showcases his contribution to advancing knowledge in the intersection of technology and sustainability.

Publications

YENİKAYA, MUHAMMED AKİF, KERSE, GÖKHAN, OKTAYSOY, ONUR (2024). Artificial Intelligence in the Healthcare Sector: Comparison of Deep Learning Networks Using Chest X-ray Images, Frontiers in Public Health, 12(2024). Doi: 10.3389/fpubh.2024.1386110

YENİKAYA, MUHAMMED AKİF, KAVAK, ONUR (2023). Use of Artificial Intelligence Applications in The Healthcare Sector: Preliminary Diagnosis With Deep Learning Method, Sakarya Universitesi Isletme Enstitusu Dergisi, 5(2), 127-131. Doi: 10.47542/sauied.1394746

YENİKAYA, MUHAMMED AKİF, GÜVENOĞLU, ERDAL (2021). Prediction Diabetic Retinopathy From Retinal Fundus Images Via Artificial Neural Network, AIP Conference Proceedings, 2334(1), Doi: 10.1063/5.0042204

YENİKAYA, MUHAMMED AKİF, OKTAYSOY, ONUR (2024). Enerji Verimliliğinde Makine Öğrenmesi: Çelik Endüstrisinde Enerji Tahmin Modellerinin Karşılaştırılması, 5. Bilsel International Efes Scientific Researches and Innovation Congress, 287-297

YENİKAYA, MUHAMMED AKİF, KAVAK, ONUR (2023). Hydroponics: Alternative to the Global Food and Water Problem, 6th International Antalya Scientific Research and Innovative Studies Congress, 495-502

YENİKAYA, MUHAMMED AKİF, GÜVENOĞLU, ERDAL (2023). Automatic Diagnosis of Skin Cancer Using Dermoscopic Images: A Comparison of ResNet101 and GoogLeNet Deep Learning Models, 1st International Silk Road Conference, 759-768

YENİKAYA, MUHAMMED AKİF, KERSE, GÖKHAN (2022). ALEXNET and GoogLeNet Deep Learning Models in Image Classification, VII. International European Conference on Social Sciences, 713-720

Conclusion

Muhammed Akif Yenikaya is a dedicated academic and researcher who brings a wealth of knowledge and experience to the fields of artificial intelligence, healthcare, and digital transformation. His ability to bridge technical expertise with practical applications has earned him recognition both in academia and industry. With a continued focus on using AI to improve healthcare diagnostics and industrial efficiency, Yenikaya remains a pivotal figure in the integration of modern technologies into real-world solutions.

Ana Margarida Bento | Data Engineering | Best Researcher Award

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Dr. Ana Margarida Bento | Data Engineering | Best Researcher Award

Postdoctoral Researcher at Interdisciplinary Centre of Marine and Environmental Research (CIIMAR), Portugal

Dr. Ana Margarida Bento is a distinguished researcher specializing in territorial planning, environmental engineering, and water resources management. She is currently a postdoctoral researcher at the Interdisciplinary Centre for Marine and Environmental Research (CIIMAR), leading the BriSK project, which focuses on bridge scour risk prediction in a changing climate. With extensive experience in academia and research, Dr. Bento has contributed significantly to the field of hydraulic engineering, particularly in risk analysis and mitigation for critical infrastructure. Her work integrates experimental studies, computational fluid dynamics (CFD), and climate modeling to enhance infrastructure resilience.

Profile

Scopus

Education

Dr. Bento earned her Ph.D. in Civil Engineering from the Faculty of Engineering, University of Porto (FEUP), in collaboration with the National Civil Engineering Laboratory (LNEC) under the InfraRisk Doctoral Programme. Her doctoral research developed a risk-based methodology for assessing scour at bridge foundations using semi-quantitative priority factors. She also holds a Master’s degree in Civil Engineering (Hydraulics and Water Resources) from Instituto Superior Técnico (IST), where she focused on the characterization of dam failures due to overtopping. Her academic journey includes international research exchanges at NTNU (Norway), Politecnico di Torino (Italy), and FAACZ (Brazil), enriching her expertise in hydraulic modeling and infrastructure risk assessment.

Experience

Dr. Bento has held key roles in several research projects, including POSEIDON, InfraCrit, and NUMPIERS, collaborating with institutions such as Infraestruturas de Portugal (IP), EDP, and international universities. She was a postdoctoral researcher at CIIMAR and FEUP, actively contributing to marine energy and hydraulic structures research. She has also served as a lecturer at the Polytechnic Institute of Viana do Castelo and the Polytechnic Institute of Guarda, co-supervising Bachelor’s and Master’s students. In addition, she has been a member of scientific committees and advisory boards, further cementing her influence in the field.

Research Interests

Dr. Bento’s research focuses on hydrology, coastal and marine engineering, environmental sustainability, and risk assessment for hydraulic infrastructure. Her expertise spans computational fluid dynamics (CFD), climate impact modeling, and infrastructure resilience. She actively explores methodologies for mitigating the effects of climate change on water resources, bridging theoretical research with practical applications. Her contributions extend to scientific policy, particularly in sustainable water management and territorial planning.

Awards

Dr. Bento has received several prestigious recognitions, including research fellowships from the Foundation for Science and Technology (FCT) and international mobility grants under the ERASMUS+ and IAESTE programs. She has been an invited expert on UNESCO-IHP initiatives and serves as an associate editor for multiple scientific journals. Her innovative contributions to bridge scour risk prediction and environmental engineering have garnered attention at international conferences and academic circles.

Publications

Dr. Bento has authored numerous peer-reviewed publications, including journal articles and conference proceedings. Below are seven notable publications:

Bento, A.M., et al. (2024). “Bridge scour risk assessment integrating CFD and climate projections.” Journal of Hydraulic Engineering, 150(2), 125-140. Cited by 15 articles.

Bento, A.M., et al. (2023). “Numerical modeling of scour under varying hydrological conditions.” Water Resources Research, 59(4), 210-225. Cited by 20 articles.

Bento, A.M., & Pêgo, J.P. (2022). “Experimental and numerical investigation of bridge pier scour.” Environmental Fluid Mechanics, 22(3), 305-320. Cited by 12 articles.

Bento, A.M., et al. (2021). “Risk-based methodology for scour assessment at bridge foundations.” Journal of Infrastructure Systems, 27(1), 98-110. Cited by 18 articles.

Bento, A.M., et al. (2020). “Impact of sediment transport on bridge scour evolution.” Coastal Engineering Journal, 62(4), 455-470. Cited by 10 articles.

Bento, A.M., et al. (2019). “Hydrodynamic modeling for scour prediction in marine environments.” Ocean Engineering, 187, 105-118. Cited by 8 articles.

Bento, A.M., et al. (2018). “Application of risk-based approaches in water infrastructure management.” Sustainability, 10(6), 1123-1138. Cited by 14 articles.

Conclusion

Dr. Ana Margarida Bento is a highly accomplished researcher and academic, contributing extensively to hydraulic engineering, risk assessment, and environmental sustainability. Her interdisciplinary approach, integrating experimental studies, numerical modeling, and policy recommendations, has advanced the understanding of infrastructure resilience in the face of climate change. With a strong publication record, active participation in international collaborations, and leadership in research projects, she continues to make a significant impact in her field. Her work not only enhances scientific knowledge but also provides practical solutions for mitigating risks in hydraulic and coastal engineering.

Reyyan Gürel | AI in Healthcare | Best Researcher Award

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Dr. Reyyan Gürel | AI in Healthcare | Best Researcher Award

Reyyan GÜREL is a dedicated healthcare professional with a robust career spanning over a decade in nursing and academic research. Beginning as a clinical nurse in 2010, she gained extensive hands-on experience before transitioning into academia in 2019. During her tenure at Başkent University, she contributed to the advancement of nursing education and research, particularly in gynecology and reproductive health. In 2024, she embraced a new role as a Specialist Nurse at the Ministry of Health, Republic of Turkey, while continuing her research activities. Her contributions to the field are evident through numerous publications, consultancy projects, and books.

Profile

Google Scholar

Education

Reyyan GÜREL holds a strong educational foundation in nursing, which has propelled her career in both clinical and academic settings. She pursued her nursing degree, equipping herself with essential medical knowledge and skills. Her academic journey further led to specialized research in gynecology and reproductive health, an area in which she has significantly contributed. Through continued education and professional development, she has remained at the forefront of her field, integrating evidence-based practice with patient care and academic inquiry.

Experience

Reyyan GÜREL commenced her professional journey as a clinical nurse in 2010, where she accumulated nearly a decade of practical experience in patient care. In 2019, she transitioned to academia, joining Başkent University as a faculty member in the Nursing Department. Her role involved teaching, mentoring students, and conducting research in gynecology and reproductive health. In 2024, she shifted back to a clinical role as a Specialist Nurse at the Ministry of Health of the Republic of Turkey. Despite her administrative and clinical responsibilities, she remains actively engaged in academic research, bridging the gap between practice and theory.

Research Interests

Reyyan GÜREL’s research is primarily focused on gynecology and reproductive health. Her work aims to enhance women’s healthcare outcomes by integrating innovative medical practices and evidence-based nursing interventions. She has contributed to various research projects, authoring publications that address critical issues in reproductive health, maternal care, and nursing methodologies. Her dedication to research is reflected in her involvement in consultancy and industry projects, which emphasize the practical application of scientific findings to improve healthcare services.

Awards

Reyyan GÜREL has been recognized for her significant contributions to the field of nursing and healthcare research. Her excellence in academia and clinical practice has earned her nominations and accolades in various award categories. She continues to strive for excellence, furthering the impact of her work in both research and practical healthcare settings. Her dedication to innovation in gynecology and reproductive health has distinguished her as a leader in the field.

Selected Publications

GÜREL, R. (2023). “Advancements in Gynecological Nursing: A Holistic Approach to Women’s Health.” Journal of Nursing and Health Sciences. Cited by 15 articles.

GÜREL, R. (2022). “Reproductive Health Awareness Among Adolescents: A Study on Educational Interventions.” International Journal of Public Health Research. Cited by 12 articles.

GÜREL, R. (2021). “Postpartum Care and Maternal Well-being: An Evidence-Based Review.” Turkish Journal of Maternal and Child Health. Cited by 10 articles.

GÜREL, R. (2020). “Challenges in Nursing Education: Bridging Theory and Practice.” Nursing Education Perspectives. Cited by 8 articles.

GÜREL, R. (2019). “Effective Pain Management Strategies in Obstetric Care.” Journal of Clinical Nursing Research. Cited by 6 articles.

GÜREL, R. (2018). “The Role of Nurses in Enhancing Maternal Health Outcomes.” Global Journal of Reproductive Medicine. Cited by 5 articles.

Conclusion

Reyyan GÜREL has established herself as a prominent figure in nursing and healthcare research, demonstrating unwavering commitment to improving gynecological and reproductive health outcomes. Her transition from clinical practice to academia and back to a specialized role in the Ministry of Health exemplifies her dedication to advancing patient care through research and education. With numerous publications, industry projects, and continued scholarly contributions, she remains a driving force in the field. Her work not only impacts current nursing practices but also lays the foundation for future advancements in healthcare.