Faye Taxman | Data-Driven Decision Making | Best Researcher Award

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Prof. Faye Taxman | Data-Driven Decision Making | Best Researcher Award

University Professor at George Mason University, United States

Dr. Faye S. Taxman is a distinguished University Professor at George Mason University, where she serves as the Director of the Center for Advancing Correctional Excellence! (ACE!). Her work has had a profound impact on criminal justice policy, implementation science, and evidence-based practices in correctional settings. With decades of experience in criminology, she has contributed significantly to improving interventions for justice-involved populations, particularly in the areas of rehabilitation, health services, and community corrections. A widely cited scholar, Dr. Taxman has received numerous accolades for her groundbreaking research and dedication to the field.

Profile

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Education

Dr. Taxman earned her Ph.D. in Criminal Justice from Rutgers University in 1982, following an M.A. in the same field in 1981. Prior to that, she completed her undergraduate studies in Political Science and Criminal Justice at the University of Tulsa, where she graduated with honors in 1977. Her academic training laid a strong foundation for her career in research, policy development, and the advancement of evidence-based practices in criminology and public policy.

Professional Experience

Dr. Taxman has held numerous academic and research positions throughout her career. Since 2020, she has been a University Professor at George Mason University’s Scholar School of Policy and Government. She has also served as Director of the Center for Advancing Correctional Excellence! (ACE!) since 2009. Her academic affiliations extend to institutions such as Griffith University, Howard University School of Medicine, and Florida State University. Before joining George Mason University, she held key positions at the University of Maryland, Virginia Commonwealth University, and the Institute for Law and Justice, among others. Her career has been marked by extensive involvement in research projects aimed at improving correctional systems, public safety outcomes, and evidence-based policy applications.

Research Interests

Dr. Taxman’s research focuses on criminal justice policy, correctional rehabilitation, implementation science, and behavioral health interventions for justice-involved individuals. She has been instrumental in developing and evaluating strategies to enhance community corrections, improve substance use disorder treatments, and implement evidence-based practices in justice systems. Her work has emphasized the integration of public health and justice systems, aiming to improve rehabilitation outcomes and reduce recidivism. Her recent projects include studies on supervision conditions, digital interventions for justice-involved individuals, and the development of translational research strategies for policy implementation.

Awards and Recognitions

Dr. Taxman has received numerous prestigious awards for her contributions to criminology and public policy. In 2023, she was honored with the Vollmer Award from the American Society of Criminology for her outstanding scholarship. She has also been recognized with the Scholar School Award for Outstanding Scholarship, the Society for Implementation Research Collaboration Mission Award, and the Joan McCord Award for experimental criminology. Additionally, she was named a Fellow of the American Society of Criminology and the Academy of Experimental Criminology. Her lifetime achievements in sentencing and corrections research have been recognized by the Division of Sentencing and Corrections of the American Society of Criminology. Her scholarship continues to shape the field and influence justice reform initiatives.

Selected Publications

Taxman, F. S., & Pattavina, A. (2021). “Simulation Modeling for Criminal Justice.” Criminology & Public Policy. Cited by 85 articles.

Taxman, F. S., Henderson, C. E., & Young, D. (2019). “Behavioral Health Services and Probation: Evidence-Based Practices.” Journal of Offender Rehabilitation. Cited by 120 articles.

Taxman, F. S., Caudy, M. S., & Rhodes, A. (2018). “Translational Criminology: Applying Research to Justice Practices.” Justice Quarterly. Cited by 97 articles.

Taxman, F. S., & Perdoni, M. (2017). “The Role of Implementation Science in Correctional Settings.” Journal of Criminal Justice Education. Cited by 75 articles.

Taxman, F. S., & Bouffard, J. (2016). “Community Corrections and Risk-Needs Assessment Tools.” Criminal Justice and Behavior. Cited by 140 articles.

Taxman, F. S., & Belenko, S. (2015). “Substance Abuse Treatment in the Criminal Justice System: Implementation and Impact.” Health & Justice. Cited by 130 articles.

Taxman, F. S. (2014). “The Role of Supervision in Reducing Recidivism: Lessons from Evidence-Based Practices.” Corrections Today. Cited by 110 articles.

Conclusion

Dr. Faye S. Taxman is a leading figure in criminology, recognized for her extensive research and commitment to improving the criminal justice system through evidence-based interventions. Her work has influenced policy decisions, program implementations, and research methodologies in the field of criminal justice. Through her leadership, scholarship, and dedication to mentorship, she continues to shape the future of criminal justice and public policy research. Her contributions have left an enduring impact on the advancement of effective correctional practices and justice system improvements.

Sylvester Kyei-Gyamfi | Corporal Punishment on Children | Best Researcher Award

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Dr. Sylvester Kyei-Gyamfi | Corporal Punishment on Children | Best Researcher Award

Director at Department of Children, Ministry of Gender, Children and Social Protection, Ghana

Dr. Sylvester Kyei-Gyamfi is a distinguished academic and public service professional with extensive experience in child rights promotion, research, and policy implementation. Currently serving as the Director of Research, Statistics, and Information Management (RSIM) at the Ministry of Gender, Children, and Social Protection (MoGCSP) in Ghana, he has dedicated his career to enhancing child survival, protection, and development. With over two decades of experience, he has played an instrumental role in engaging policymakers, traditional authorities, and government officials on child welfare issues. Additionally, he serves on various national committees and is an adjunct lecturer in Gender and Research Methods at different institutions. His contributions to academia and public policy have earned him recognition, including the Best Director award at the 2021 Civil Service Awards.

Profile

Scopus

Education

Dr. Kyei-Gyamfi holds a PhD in Migration Studies from the University of Ghana’s Centre for Migration Studies. His academic journey also includes two master’s degrees: an MA in Adult Education from the Institute of Continuing and Adult Education, and an MA in Development Studies from the Institute of Statistics, Social and Economic Research, both at the University of Ghana. Additionally, he obtained a BA in Sociology/History from Kwame Nkrumah University of Science and Technology. He has furthered his professional expertise by becoming a Chartered Management and Administrative Consultant, acquiring certification from the Chartered Institute of Administrators and Management Consultants in Ghana.

Experience

Dr. Kyei-Gyamfi has held multiple roles in both academic and public sectors, contributing to policy formulation and implementation. As the Director of RSIM at MoGCSP, he oversees research, data management, and policy analysis for gender and child protection initiatives. His responsibilities include training staff, evaluating performance, and facilitating policy discussions at the ministerial level. Beyond public service, he has lectured part-time at the Centre for Gender Studies and Advocacy (CEGENSA) and the School of Social Work in Osu. His expertise in qualitative and quantitative research methods has significantly contributed to various national and international research initiatives, including collaborations with UNICEF, the Ghana Statistical Service, and other governmental and non-governmental organizations.

Research Interests

Dr. Kyei-Gyamfi’s research interests span a wide range of social issues, including child rights, migration, gender studies, and social protection policies. His work examines the impact of corporal punishment on children, the effects of child marriage, and the intersection of poverty and gender-based violence. Additionally, he has explored vaccine hesitancy, online safety for children, and the socio-economic effects of migration on marginalized communities. His research provides critical insights into child welfare policies and contributes to policy reforms aimed at improving the lives of vulnerable populations in Ghana and beyond.

Awards

Dr. Kyei-Gyamfi’s contributions have been recognized through various awards. Most notably, he was awarded Best Director at the 2021 Civil Service Awards, a recognition of his outstanding leadership and contributions to the Ministry of Gender, Children, and Social Protection. His work on national advisory committees and policy formulation has also earned him accolades in academic and professional circles, highlighting his influence on child protection and gender-related policies in Ghana.

Selected Publications

Kyei-Gyamfi, S., & Kyei-Arthur, F. (2025). “Perspectives of Children on Corporal Punishment in Domestic Settings in Ghana.” Child & Family Social Work (Wiley). Cited by 30 articles.

Ghazy, R. M., Kyei-Arthur, F., Saleeb, M., Kyei-Gyamfi, S., et al. (2024). “Examining Vaccine Hesitancy Among Ghanaian Parents for the R21/Matrix-M Malaria Vaccine.” Journal of Pediatric Health Care (Elsevier). Cited by 25 articles.

Kyei-Arthur, F., Kyei-Gyamfi, S., & Appiah, M. (2024). “Motivations and Perspectives on the Use of Corporal Punishment at Home.” Child Abuse & Neglect (Elsevier). Cited by 20 articles.

Asubonteng-Manu, E., Kyei-Gyamfi, S., Abrah, P. B., & Abutima, T. (2024). “Relevance of Dipo Womanhood Rites as a Social Control Mechanism Among People of Yilo-Krobo.” Sage Open. Cited by 15 articles.

Kyei-Gyamfi, S. (2024). “The Benefits of Social Media Among Children Aged 8 to 17 in Tema Metropolitan Area in Ghana.” Sage Open. Cited by 10 articles.

Kyei-Arthur, F., Kyei-Gyamfi, S., & Sarpong, S. (2024). “Internet Usage, Access, and Supervision Among Ghanaian Children.” Humanities and Social Sciences Communications (Springer Nature). Cited by 18 articles.

Kyei-Gyamfi, S., & Kyei-Arthur, F. (2024). “Loneliness and Risky Behaviours Among Mobile Fishers in Elmina, Ghana.” BMC Public Health (Springer Nature). Cited by 22 articles.

Conclusion

Dr. Sylvester Kyei-Gyamfi’s career has been dedicated to research, policy implementation, and advocacy for child rights and gender equity. His leadership at the Ministry of Gender, Children, and Social Protection, combined with his academic engagements, has made him a key contributor to social development in Ghana. His extensive research work, which spans migration studies, child protection, and social policy, has influenced national and international discourses. With a commitment to knowledge dissemination and policy advancement, he continues to contribute meaningfully to academia, governance, and social welfare, ensuring the protection and empowerment of marginalized communities.

Emmanuel Adesuyi | AI in Healthcare | Best Researcher Award

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Mr. Emmanuel Adesuyi | AI in Healthcare | Best Researcher Award

Doctoral Researcher & Lecturer at Birmingham City University. United Kingdom

Emmanuel O. Adesuyi is an esteemed academic, researcher, and healthcare professional committed to advancing nursing and midwifery education. With a passion for student-centric teaching and evidence-based research, he has made significant contributions to curriculum development, healthcare research, and clinical practice. His career spans various roles in academia and clinical settings, both in the United Kingdom and Nigeria. Currently a Doctoral Researcher and Lecturer at Birmingham City University, he is devoted to fostering innovation in nursing education and improving healthcare outcomes. His dedication to research and policy development aligns with the Sustainable Development Goals, driving his commitment to global health advancements.

Profile

Scopus

Education

Emmanuel O. Adesuyi has pursued an extensive educational journey in nursing and public health. He is currently undertaking a Doctor of Philosophy (PhD) at Birmingham City University, focusing on teaching and learning in digital spaces within nursing and midwifery education. Previously, he completed a Postgraduate Certificate in Research Practice at the same institution, equipping him with methodological expertise in scientific research. He also holds a Master of Public Health (MPH) from Ladoke Akintola University of Technology, specializing in epidemiology and infection control, with research centered on lifestyle indices among breast cancer patients. His academic foundation was laid with a Bachelor of Nursing Science (BNSc) from the same university, where he received rigorous training in nursing and midwifery.

Experience

Throughout his career, Emmanuel has held diverse roles in academia, clinical practice, and healthcare leadership. He currently serves as a Doctoral Researcher and Lecturer at Birmingham City University, where he teaches nursing and midwifery students while contributing to research and curriculum development. Previously, he was an Assistant Lecturer at the same institution, preparing course materials and assessing students. His clinical experience includes serving as an Agency Staff Nurse at Thornbury Nursing Service, an Orthopaedic Staff Nurse at Mid-Cheshire NHS, and a Neurosurgical Nursing Officer at University College Hospital, Ibadan. His leadership extends to the Institute of Nursing Research, Nigeria, where he has been instrumental as the Chief Executive Officer and Chief Operating Officer, championing research initiatives and professional development programs.

Research Interests

Emmanuel’s research interests lie in nursing education, digital learning environments, public health, epidemiology, and infection control. His doctoral research delves into the transformation of nursing and midwifery education through digital technologies, aiming to enhance learning experiences and accessibility. His previous work on epidemiology and lifestyle factors in breast cancer patients underscores his commitment to improving health outcomes through data-driven research. His passion for knowledge dissemination and policy development fuels his pursuit of innovative solutions in global healthcare education and practice.

Awards

Emmanuel has received multiple recognitions for his contributions to nursing and education. Notably, he has been awarded the SEDA Recognised Practitioner in Supporting Teaching and Learning in Higher Education by the Staff and Educational Development Association in the United Kingdom. His membership in esteemed professional organizations, including Sigma Theta Tau Nursing Society and the Royal College of Nursing, reflects his standing in the academic and healthcare communities. His contributions to research, teaching excellence, and clinical practice have positioned him as a leader in his field.

Publications

Adesuyi, E. O., et al. (2023). “Exploring Digital Learning Spaces in Nursing Education: A Scoping Review.” International Journal of Nursing Education, cited by 12 articles.

Adesuyi, E. O., et al. (2022). “Lifestyle Indices and Anthropometric Variables Among Breast Cancer Patients.” Journal of Public Health Research, cited by 18 articles.

Adesuyi, E. O., et al. (2021). “The Impact of Digital Teaching Tools on Nursing Students’ Learning Outcomes.” Nursing & Midwifery Education Journal, cited by 9 articles.

Adesuyi, E. O., et al. (2020). “Infection Control Practices Among Healthcare Workers in Nigeria: A Cross-Sectional Study.” African Journal of Health Research, cited by 15 articles.

Adesuyi, E. O., et al. (2019). “Advancing Nursing Leadership in Low-Resource Settings: Strategies and Challenges.” Journal of Global Health Nursing, cited by 10 articles.

Adesuyi, E. O., et al. (2018). “Patient-Centered Care in Orthopaedic Nursing: Perspectives from Healthcare Practitioners.” International Journal of Orthopaedic Nursing, cited by 7 articles.

Adesuyi, E. O., et al. (2017). “Neurosurgical Nursing: Enhancing Postoperative Recovery through Evidence-Based Interventions.” Journal of Neurosurgical Nursing, cited by 11 articles.

Conclusion

Emmanuel O. Adesuyi’s career exemplifies a deep commitment to nursing education, research, and clinical excellence. His student-centered teaching philosophy, extensive research contributions, and leadership in healthcare make him a prominent figure in the field. Through his work in academia and clinical practice, he continues to shape the future of nursing and midwifery education, contributing to global health advancements and policy development. His dedication to evidence-based practice and innovation ensures a lasting impact on healthcare education and patient care worldwide.

Emel Kulekci | Medication Administration Errors | Best Researcher Award

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Dr. Emel Kulekci | Medication Administration Errors| Best Researcher Award

Lecturer at Yüksek Ihtisas University, Turkey

Emel Külekci is an esteemed academic and researcher in the field of nursing, specializing in surgical nursing and anesthesia. She has contributed significantly to nursing education, research, and professional development. With years of experience in both clinical practice and academia, she has played a pivotal role in advancing patient care methodologies, particularly in medication administration and perioperative nursing. Currently serving as a Lecturer at Yüksek İhtisas University, she is actively involved in various academic and administrative positions, fostering excellence in health sciences education and research.

Profile

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Education

Emel Külekci has an extensive academic background in nursing and healthcare sciences. She earned her Ph.D. in Surgical Nursing from the University of Health Sciences in 2023, where her doctoral research focused on the impact of a checklist for enteral medication administration on reducing errors. Prior to that, she completed her Master’s degree in Surgical Nursing through a distance education program at Atatürk University in 2014. Her foundational education in nursing began with a Bachelor’s degree from Gülhane Military Academy of Medicine in 2003. Through her academic journey, she has gained in-depth expertise in perioperative nursing care and patient safety.

Experience

With a rich career spanning clinical and academic roles, Emel Külekci has accumulated substantial experience in nursing education and research. Since 2019, she has been a Lecturer at Yüksek İhtisas University in the Department of Medical Services and Techniques, specializing in Anesthesia. She has also taken on various administrative roles, such as serving on the Academic Incentive and Performance Evaluation Commission, the Ethics Committee for Non-Interventional Research, and the Quality Coordination Unit. Her leadership experience includes serving as Head of Program for both the Anesthesia and Medical Documentation and Secretariat programs. Through these roles, she has contributed to curriculum development, student mentorship, and academic administration.

Research Interest

Emel Külekci’s research interests primarily lie in perioperative nursing, patient safety, enteral nutrition, and medication administration. She has focused on optimizing clinical practices to enhance patient outcomes, particularly in surgical settings. Her doctoral research revolved around enteral medication administration, highlighting her commitment to improving nursing protocols and reducing medical errors. Additionally, she has investigated the psychological aspects of nursing, including personality traits of surgical nurses and their effects on professional performance. Her research extends to innovative healthcare delivery methods, such as telehealth applications for rural cancer patients.

Awards

Emel Külekci has been recognized for her contributions to nursing research and education. Her work has been acknowledged in international and national scientific communities, and she has been involved in key research projects that have influenced clinical practice. She has received funding and institutional recognition for her academic contributions and innovative approaches to nursing education. Her patent for an enteral feeding tablet pump further exemplifies her commitment to advancing medical technology in patient care.

Selected Publications

Külekci, E., & Iyigün, E. (2025). Effectiveness of a checklist for enteral medication administration: A randomized controlled trial. Nursing in Critical Care, 30(2), 1-11. [DOI: 10.1111/nicc.13275]

Külekci, E., Karaman Özlü, Z., & Özer, N. (2015). Sociotropic and autonomous personality traits of nurses working in surgical clinics. Journal of Anatolia Nursing and Health Sciences, 18(2). [DOI: 10.17049/ahsbd.82921]

Tuğ, Ö., Savsar, A., Özkan, Y., & Külekci, E. (2022). Analysis of nurses’ professional experiences using narrative design: A qualitative study. 4th International and 12th National Turkish Surgical and Operating Room Nursing Congress.

Kolçak, B., Külekci, E., et al. (2023). Safe enteral drug administration in oncology patients. 5th International and 6th National Oncology Nursing Congress.

Külekci, E., Yilmaz Şahin, S., & Iyigün, E. (2019). Examining the ethical sensitivity levels of final-year nursing students. 1st International and 2nd National Healthcare Services Congress.

Kolçak, B., Külekci, E. (2022). Alternative nursing care for cancer patients living in rural areas: Telehealth solutions. 5th International and 6th National Oncology Nursing Congress.

Tamer, F., Aymelek, H., Külekci, E., & Kolçak, B. (2022). A review of nursing education studies published during the COVID-19 period. 4th International and 12th National Turkish Surgical and Operating Room Nursing Congress.

Conclusion

Emel Külekci has made significant contributions to nursing education, research, and practice. Her expertise in surgical nursing and patient safety has led to meaningful advancements in healthcare education and clinical protocols. Through her research, teaching, and administrative roles, she continues to influence the next generation of nursing professionals, fostering a culture of excellence in healthcare. With a focus on innovative research and quality patient care, she remains a dedicated figure in the field of nursing science.

Jaya Raju G | Machine Learning | Best Researcher Award

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Mr. Jaya Raju G | Machine Learning | Best Researcher Award

Assistant Professor at Aditya University, India

G. Jaya Raju is an accomplished academician and researcher with extensive experience in computer science and engineering. With a strong passion for education and research, he has dedicated his career to mentoring students, contributing to academic administration, and advancing knowledge in various fields such as data mining, machine learning, and database management. His expertise spans programming languages, software testing, and artificial intelligence. Throughout his career, he has actively participated in faculty development programs, workshops, and research conferences, contributing to the academic community through publications and professional activities.

Profile

Scopus

Education

G. Jaya Raju is currently pursuing a Ph.D. from Jawaharlal Nehru Technological University, Kakinada (JNTUK), having successfully completed his Pre-PhD requirements. He obtained his M.Tech in Computer Science and Engineering from Aditya Engineering College, Surampalem, under JNTUK, with a commendable academic performance. Additionally, he holds an M.Sc in Computer Science from Andhra University College of Engineering, Visakhapatnam. His strong educational foundation has played a pivotal role in shaping his expertise and research contributions in the field of computer science.

Experience

With over a decade of experience in academia, G. Jaya Raju has served as an Assistant Professor at several esteemed institutions. Currently, he holds the position of Senior Assistant Professor at Aditya College of Engineering and Technology. Previously, he has contributed to institutions such as Sri Vasavi Engineering College, Rajahmahendri Institute of Engineering and Technology, Sri Venkateswara Institute of Science & Information Technology, and Lenora College of Engineering. His responsibilities have encompassed teaching, academic administration, mentoring students, and guiding research projects at both undergraduate and postgraduate levels. Additionally, he has actively participated in university external examinations and accreditation processes.

Research Interests

His research interests include Data Warehousing and Data Mining, Machine Learning, Compiler Design, Formal Languages and Automata Theory, Database Management Systems, and Web Technologies. He is particularly focused on developing innovative solutions in sentiment analysis, data categorization, and optimization techniques for artificial intelligence applications. His research contributions have led to several publications in reputed international and national journals, reflecting his commitment to advancing knowledge in his areas of expertise.

Awards and Recognitions

G. Jaya Raju has received multiple accolades for his academic and professional achievements. He has qualified for APSET-2024 and GATE-2023, demonstrating his proficiency in computer science and engineering. He was also recognized as an Associate Member of the Institution of Engineers (AMIE) in 2016. Additionally, he has been awarded “Elite Certificates” from SWAYAM NPTEL for excelling in courses such as Compiler Design, Database Management Systems, and Data Mining, offered by the Indian Institute of Technology (IIT), Kharagpur. These accomplishments highlight his dedication to continuous learning and professional development.

Publications

“Deep Belief Neural Network based Categorization of Uncertain Data Streams,” International Journal of Software Innovation, DOI: https://doi.org/10.4018/IJSI.312262, cited by multiple research articles.

“Classical Software Testing Using Semi-Proving,” IJCST Vol. 3, Issue 3, July-Sept 2012, ISSN: 0976-8491 (Online), 2229-4333 (Print), cited in numerous studies related to software testing methodologies.

“Implementation of Skyline Sweeping Algorithm,” International Journal of Computer Science and Technology (IJCST) Vol. 3, Issue 3, July-Sept 2012, ISSN: 0976-8491 (Online), 2229-4333 (Print), referenced in data structure optimization research.

“Perturbation Approach for Protecting Data Server Used for Decision Tree Mining,” IJCST Vol. 3, Issue 4, Oct-Dec 2012, ISSN: 0976-8491 (Online), 2229-4333 (Print), widely cited in data security studies.

Conclusion

G. Jaya Raju’s career is marked by a strong commitment to education, research, and professional growth. His extensive teaching experience, active participation in research, and dedication to mentoring students highlight his contributions to academia. With expertise in data mining, machine learning, and programming, he continues to make significant advancements in computer science. His awards, certifications, and publications demonstrate his dedication to academic excellence and research innovation. As an educator and researcher, he remains committed to fostering knowledge and inspiring future generations of computer science professionals.

Muhammad Qiyas | Mathematics | Best Researcher Award

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Assist. Prof. Dr. Muhammad Qiyas | Mathematics | Best Researcher Award

Assistant Professor at Riphah International University Faisalabad, Pakistan

Muhammad Qiyas is an accomplished academic and researcher in the field of mathematics, specializing in fuzzy decision-making, aggregation operators, and multi-criteria decision analysis. With a strong passion for problem-solving and knowledge dissemination, he has contributed significantly to academia through teaching, research, and publishing in high-impact journals. His career spans various educational institutions, where he has played a pivotal role in mentoring students, supervising research projects, and advancing mathematical research. His dedication to continuous learning and interdisciplinary collaboration has established him as a leading expert in his domain.

Profile

Scopus

Education

Muhammad Qiyas holds a Ph.D. in Mathematics from Abdul Wali Khan University Mardan, Pakistan, completed in 2020. His doctoral research focused on “Aggregation Operators on Linguistic Picture Fuzzy Sets and their Applications in Decision Making Problems,” showcasing his expertise in mathematical modeling and decision science. Prior to that, he obtained an MS in Mathematics from Mohi-Ud-Din Islamic University, Islamabad, Pakistan, where he explored the domain of Orthodox Γ-Semigroup. He completed his Bachelor’s in Mathematics from the University of Malakand, KP, Pakistan, with a project on “Rule of Prime Numbers in Cryptography,” demonstrating his early interest in computational mathematics.

Professional Experience

Muhammad Qiyas is currently serving as an Assistant Professor at Riphah International University Faisalabad Campus, Pakistan. In this role, he is responsible for delivering high-quality instruction in mathematics, supervising graduate research projects, and contributing to the university’s research output. Additionally, he holds a Research Fellow position at Universiti Sultan Zainal Abidin, Malaysia, where he collaborates on cutting-edge research in mathematical decision-making. His previous experience includes active participation in international conferences, editorial responsibilities in academic journals, and contributions to mathematical research communities worldwide.

Research Interests

Muhammad Qiyas specializes in fuzzy set theory, aggregation operators, decision-making models, and multi-criteria decision analysis. His research primarily focuses on developing novel mathematical techniques to enhance decision support systems. His work on picture fuzzy sets, spherical fuzzy aggregation, and hybrid decision-making models has significantly contributed to advancing computational intelligence and applied mathematics. He actively explores new approaches to uncertainty modeling and their applications in various real-world problems, including supply chain management, engineering decision-making, and artificial intelligence.

Awards and Recognitions

Muhammad Qiyas has been recognized for his contributions to mathematical research and education. His work has been cited in numerous high-impact journals, showcasing the influence of his research on the global academic community. He has also been invited as a speaker at prestigious mathematics conferences, demonstrating his expertise and thought leadership in fuzzy decision-making and aggregation operators. His scholarly achievements have earned him nominations for awards in academia and research excellence.

Publications

Zeng, S., Qiyas, M., Arif, M., & Mahmood, T. (2019). Extended version of linguistic picture fuzzy TOPSIS method and its applications in enterprise resource planning systems. Mathematical Problems in Engineering.

Qiyas, M., Abdullah, S., Ashraf, S., & Abdullah, L. (2019). Linguistic picture fuzzy Dombi aggregation operators and their application in multiple attribute group decision-making problems. Mathematics, 7(8), 764.

Khan, A.A., Ashraf, S., Abdullah, S., Qiyas, M., Luo, J., & Khan, S.U. (2019). Pythagorean fuzzy Dombi aggregation operators and their application in decision support systems. Symmetry, 11(3), 383.

Khan, A.A., Qiyas, M., Abdullah, S., Luo, J., & Bano, M. (2019). Analysis of robot selection based on 2-tuple picture fuzzy linguistic aggregation operators. Mathematics, 7(10), 1000.

Jin, H., Ashraf, S., Abdullah, S., Qiyas, M., Bano, M., & Zeng, S. (2019). Linguistic spherical fuzzy aggregation operators and their applications in multi-attribute decision-making problems. Mathematics, 7(5), 413.

Ashraf, S., Abdullah, S., Aslam, M., Qiyas, M., & Kutbi, M.A. (2019). Spherical fuzzy sets and its representation of spherical fuzzy t-norms and t-conorms. Journal of Intelligent & Fuzzy Systems, 36(6), 6089-6102.

Ashraf, S., Abdullah, S., Qiyas, M., & Khan, A. (2019). Picture fuzzy grey approach for decision problems with unknown weight information. Journal of Biostatistics and Biometric Applications, 4(1).

Conclusion

Muhammad Qiyas has made significant contributions to the field of mathematics through his research, teaching, and publications. His work in fuzzy set theory and decision-making models has provided valuable insights into complex mathematical and computational problems. With a strong academic background, extensive research experience, and a commitment to advancing mathematical sciences, he continues to influence the field through innovation and collaboration. His future endeavors will likely further enhance the application of mathematical methodologies in decision science and computational intelligence.

Kannan Pandian | Agriculture | Best Faculty Award

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Dr. Kannan Pandian | Agriculture | Best Faculty Award

Associate Professor at Tamil Nadu Agricultural University, India

Dr. Kannan Pandian is an accomplished soil scientist specializing in dryland soil resource and crop management. With extensive experience in soil science and agricultural chemistry, he has significantly contributed to carbon and water conservation techniques, carbon sequestration, and nutrient management strategies for dryland crops. His research focuses on enhancing nitrogen and phosphorus efficiency through carbon-smart fertilizer delivery systems. As an Associate Professor at Tamil Nadu Agricultural University (TNAU), he has been actively involved in research, teaching, and technology development to improve soil health and agricultural sustainability.

Profile

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Education

Dr. Kannan Pandian earned his Ph.D. in Soil Science and Agricultural Chemistry from Tamil Nadu Agricultural University (TNAU), Coimbatore, in 2007. He obtained his Master of Science in the same field from TNAU in 2004, following his Bachelor of Science in Agriculture from the same institution in 2002. His academic journey has been marked by a strong focus on soil fertility, plant nutrition, and sustainable agricultural practices.

Work Experience

Dr. Pandian has held various significant positions throughout his career. Since January 2010, he has been serving as an Assistant Professor at TNAU. Prior to this, he worked as a Scientist at ICAR from April 2009 to January 2010. He also served as a Research Associate and Senior Research Fellow at the Centre for Soil and Crop Management Studies (CSCMS), TNAU, contributing to research in soil fertility and conservation. His professional expertise spans research, academia, and the development of innovative soil management techniques.

Research Interests

Dr. Kannan Pandian’s research focuses on combatting climatic vulnerability in dryland ecosystems through carbon and water conservation techniques. He is also actively involved in studying carbon footprints and sequestration across different ecosystems and crops using natural carbon materials. Additionally, he works on enhancing nitrogen and phosphorus efficiency in dryland crops through carbon-smart fertilizer delivery systems, aiming to improve soil health and crop productivity under changing climatic conditions.

Awards and Honors

Dr. Pandian has received several prestigious awards and recognitions for his contributions to soil science and agricultural research. He was awarded the ICAR-IDP international faculty training fellowship for short-term postdoctoral research at Western Sydney University, Australia. He also received the Dr. APJ Abdul Kalam Best Teacher Award at an international conference on Climate Resilient Agriculture. Other notable accolades include the Best TNAU Young Scientist Award (2019), multiple Best Oral and Poster Presentation Awards at various national and international conferences, and the Dr. K.K. Krishnamurthy and Dr. G. Selvakumari Medal for the best doctoral student in Soil Science and Agricultural Chemistry. Additionally, he has been recognized with commendation certificates and fellowships for his outstanding research contributions.

Publications

Dr. Pandian has a prolific research publication record, with numerous articles published in reputed journals. Some of his notable publications include:

Kannan, P., et al. (2024). Bacillus megaterium-Embedded Organo Biochar Phosphorous Fertilizer Improves Soil Microbiome and Nutrient Availability to Enhance Black Gram (Vigna mungo L) Growth and Yield. Journal of Soil Science and Plant Nutrition (NAAS 9.9).

M. Mohamed Roshan Abu Firnass, et al. (2023). Synthesis of biochar-embedded slow-release nitrogen fertilizers; Mesocosm and field-scale evaluation for nitrogen use efficiency, growth, and rice yield. Soil Use Management (NAAS 9.67).

D. Krishnaveni, Kannan P., et al. (2023). Chromium Sorbed Maize Stalk Biochar and Its Power Benefited Disposal: An Effective Power Generation Method for Removal of Chromium. Water Air Soil Pollut (NAAS 8.98).

Seki, M., et al. (2022). Soil nitrogen dynamics and sorghum productivity as affected by biochar in the dry tropics. NutrCyclAgroecosyst (NAAS 9.87).

D. Krishnaveni, P. Kannan, et al. (2022). Safe disposal of phosphate for eutrophication control by Redgram stalk biochar with subsequent power generation. Environmental Technology & Innovation (NAAS 11.26).

Mayuko Seki, et al. (2022). Impact of biochar and manure application on in situ carbon dioxide flux, microbial activity, and carbon budget in degraded cropland soil of southern India. Land Degradation Development (NAAS 10.98).

M. Paramasivan, et al. (2022). Management of root rot (Macrophomina phaseolina) in peanut with biocontrol agents and studying its root physiology. Archives of Phytopathology and Plant Protection (IF 0.75).

Conclusion

Dr. Kannan Pandian is a dedicated researcher and academician whose work has significantly contributed to soil science and sustainable agricultural practices. His expertise in soil conservation, nutrient management, and carbon sequestration has led to the development of innovative solutions for enhancing soil fertility and crop productivity. Through his research, teaching, and extensive publications, he continues to impact the field of soil science and agriculture positively, striving for a more sustainable and resilient farming future.

David Trafimow | Causal Inference | Best Researcher Award

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Prof. Dr. David Trafimow | Causal Inference | Best Researcher Award

Distinguished Achievement Professor at New Mexico State University, United States

David Trafimow is a distinguished professor of psychology at New Mexico State University, renowned for his contributions to social cognition and psychological methodology. With an academic career spanning over three decades, he has significantly influenced the understanding of self-cognitions, behavior determinants, and statistical approaches in psychology. His work extends to philosophical and methodological issues in psychological research, emphasizing critical perspectives on traditional statistical practices. As an educator, researcher, and thought leader, Trafimow has made a lasting impact on both theoretical and applied psychology.

Profile

Orcid

Education

David Trafimow holds a Ph.D. in Social Psychology from the University of Illinois at Urbana-Champaign, which he earned in January 1993. Prior to that, he completed an M.A. in Clinical Psychology from Indiana University, Bloomington, in May 1988. His foundational education in psychology began with a B.A. from the University of Illinois at Urbana-Champaign in 1984. His diverse academic background has equipped him with a multifaceted perspective on cognitive and behavioral psychology.

Professional Experience

Trafimow has been a professor at New Mexico State University since August 2001, having previously served as an associate professor from 1998 to 2001 and an assistant professor from 1994 to 1998. Before joining New Mexico State University, he was an assistant professor at Virginia Tech from 1992 to 1994. Over the years, he has played a crucial role in shaping the curriculum and research direction in psychology, mentoring students and contributing to the broader academic community.

Research Interests

His research primarily focuses on social cognition, particularly how self-cognitions are structured and how they interact with determinants of behavior, such as attitudes, norms, and control beliefs. Additionally, he delves into attribution processes, cognitive and affective mechanisms, and theoretical and methodological aspects of psychology. Trafimow has also contributed significantly to the critique and improvement of statistical methodologies used in psychological research, emphasizing the limitations of traditional significance testing and advocating for alternative approaches.

Awards

Trafimow has received multiple recognitions for his contributions to psychology, particularly for his work in methodological rigor and theoretical advancements. His efforts in challenging conventional statistical practices and proposing alternative inferential methods have earned him respect in the academic community. His recognition extends across various professional organizations and psychology journals that have acknowledged his innovative contributions to research methodologies.

Publications

Trafimow, D. (2024). Distinguishing between models and hypotheses: Implications for significance testing. Meta-Psychology, 8, 1-12. https://doi.org/10.15626/MP.2021.2957

Trafimow, D., & Fiedler, K. (in press). An exploration of physics envy with implications for desiderata of psychology theories. American Psychologist.

Trafimow, D. (in press). Theory-refuting findings in psychology: How much should they matter? Journal for the Theory of Social Behaviour.

St Quinton, T., & Trafimow, D. (2025). Meaning in life research: The importance of considering auxiliary assumptions. The Journal of Positive Psychology, 32(6), 1-10. doi: 10.1080/17439760.2025.2459389

Trafimow, D., Hout, M. C., & Conway, A. R. A. (in press). A nuanced view of the extent to which samples from narrow populations are scientifically problematic. American Psychologist.

Fiedler, K., & Trafimow, D. (in press). Using theoretical constraints and the TASI taxonomy to delineate predictably replicable findings. Psychonomic Bulletin & Review.

Trafimow, D. (2024). Replicating is difficult, but necessary, and methodology can help. Theory & Psychology, 34(5), 591-596. doi: 10.1177/09593543241265912

Conclusion

David Trafimow’s career exemplifies a commitment to advancing psychological science through rigorous research and critical inquiry into existing methodologies. His extensive work on social cognition, behavioral determinants, and statistical inference has significantly influenced the field. By challenging conventional statistical approaches and exploring alternative frameworks, he has contributed to the evolution of psychological research practices. As a professor, researcher, and thought leader, his impact continues to shape the discipline, fostering innovation and deeper understanding in psychology.

Anna Pokrovskaya | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr. Anna Pokrovskaya | Artificial Intelligence | Best Researcher Award

Ph.D. in Law at Peoples’ Friendship University of Russia, Russia

Anna Pokrovskaya is a dedicated legal professional and researcher specializing in intellectual property law, with extensive experience in patent practices and international legal frameworks. She is currently pursuing her Ph.D. in Law at the Peoples’ Friendship University of Russia, focusing on civil law, procedure, and private international law. Over the years, she has contributed significantly to academia, legal research, and intellectual property management through various roles in leading institutions and organizations. Her work encompasses research, legal consultancy, and publication activities, making her a prominent voice in the legal field.

Profile

Orcid

Education

Anna Pokrovskaya holds multiple degrees in law and intellectual property management. She earned her Bachelor of Laws (LLB) from the Peoples’ Friendship University of Russia, specializing in international law. She further pursued her Master’s degree in Intellectual Property Management at Bauman Moscow State Technical University. Additionally, she completed an LLM in Intellectual Property Law at the University of Turin, a joint program with WIPO. Continuing her studies, she is currently completing another LLM in Intellectual Property Law at Tongji University in Shanghai, also in collaboration with WIPO. Her academic journey demonstrates her commitment to understanding global legal perspectives and contributing to legal scholarship.

Experience

Anna has held various roles in prominent institutions. She worked as a Leading Specialist at the Federal Institute of Industrial Property (FIPS), where she contributed to enhancing awareness about intellectual property publication opportunities. She later served as a Lawyer specializing in labor law at LLC Brunel Russia. Since 2020, she has been working as an Expert in Patent Practice at the IP Center “Skolkovo,” dealing with national phase patent applications and collaborating with international clients. In 2024, she joined the Peoples’ Friendship University of Russia as a Research Assistant, contributing to grant projects and academic research. She is set to become an Assistant at the same university in 2025.

Research Interests

Anna’s research interests focus on intellectual property rights, intermediary liability, copyright infringement, and legal frameworks governing e-commerce platforms. She explores how AI influences intellectual property protection and enforcement on digital marketplaces. Her work extends to comparative legal studies, analyzing trademark and copyright laws in different jurisdictions, including Russia, China, and the European Union. Through her research, she seeks to develop effective legal mechanisms to address contemporary intellectual property challenges in digital and cross-border environments.

Awards

Anna has received several grants and academic recognitions. She is a recipient of the RUDN Development Programme “Priority-2030” grant, supporting postgraduate research potential. In 2024, she secured funding under the Russian Science Foundation Grant for research on procedural mechanisms for suppressing online copyright infringements. Additionally, she won individual financial support for participating in international and Russian scientific and technical events. She has also been awarded grants from the Presidential Program and RUDN University for her contributions to the field of intellectual property law.

Publications

Pokrovskaya, A. (2022). “Trademark Infringement on E-commerce Sites.” International Scientific Legal Forum in memory of Prof. V.K. Puchinsky.

Pokrovskaya, A. (2023). “Liability for Trademark Infringement on e-Commerce Marketplaces.” International Journal of Law in Changing World.

Pokrovskaya, A. (2023). “The Distribution of Liability in Trademark Infringement on E-commerce Marketplaces.” Fifth IP & Innovation Researchers of Asia Conference.

Pokrovskaya, A. (2024). “AI-driven Disruption: Trademark Infringement on E-commerce Marketplaces in China.” Russian Law Journal.

Pokrovskaya, A. (2024). “Principles of Intermediaries’ Liability in the Online Environment: The Issue of Online Self-Regulation.” BIO Web of Conferences.

Pokrovskaya, A. (2024). “Protection of Trademark Rights on E-commerce Platforms: An Updated Outlook.” Journal of Comprehensive Business Administration Research.

Pokrovskaya, A. (2024). “Infringement of Intellectual Property Rights on E-commerce Trading Platforms.” Eurasian Law Journal.

Conclusion

Anna Pokrovskaya’s contributions to the field of intellectual property law are remarkable, combining academic research, practical expertise, and international collaboration. Her work on trademark and copyright infringement on digital platforms is highly relevant in today’s rapidly evolving technological landscape. With her ongoing research, publications, and involvement in academic and legal discussions, she continues to shape the discourse on intellectual property rights and their enforcement in the digital age.

Nikhil Patel | Business Intelligence | Best Researcher Award

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Mr. Nikhil Patel | Business Intelligence | Best Researcher Award

Consultant at Deloitte Consulting LLP, United States.

Nikhil Patel is a dedicated consultant at Deloitte Consulting LLP, based in Houston, Texas. With over a decade of experience in technology consulting, HR systems, and business solutions, he has established himself as an expert in SAP SuccessFactors and PeopleSoft. His career spans multiple countries, including India, Singapore, and the United States, where he has contributed significantly to HR technology transformations. Beyond his consulting work, Nikhil has an extensive research background in artificial intelligence, business optimization, and machine learning, with numerous publications in reputed journals. His commitment to innovation and excellence in technology-driven HR solutions makes him a valuable asset in the field of business consulting.

Profile

Google Scholar

Education

Nikhil Patel holds a Master of Business Administration (MBA) from the University of Dubuque, USA, completed between 2020 and 2022. His technical foundation was built with a Bachelor of Engineering (B.E.) in Computer Engineering from Mumbai University, India, which he earned in June 2010. Prior to his bachelor’s degree, he completed a Diploma in Electronics Engineering from the Maharashtra State Board of Technical Education, India, in April 2007. These academic qualifications have provided him with a strong understanding of both technical and business aspects, enabling him to bridge the gap between IT and business processes effectively.

Professional Experience

Currently, Nikhil Patel serves as a consultant at Deloitte Consulting LLP in Houston, Texas, where he assists clients in addressing HR function challenges and implementing advanced payroll and HR solutions. Before joining Deloitte, he worked as an SAP Consultant at Delta System and Software, where he played a key role in designing and implementing SAP SuccessFactors enhancements. His previous roles include Senior Systems Manager at Singapore Zoological Gardens, HRIS Manager at NTUC Fairprice Co-operative Ltd, and PeopleSoft Consultant at Toss-Ex Pte Ltd and MInSysT Consulting Pvt. Ltd. Over the years, he has gained expertise in global HR strategies, system implementations, and software consulting, making significant contributions to HR technology transformations in various industries.

Research Interests

Nikhil Patel’s research interests lie in artificial intelligence, business process optimization, machine learning applications, and digital transformation in human resources. He has extensively explored AI-driven predictive modeling, deep learning applications, and optimization algorithms. His work delves into how AI can enhance business efficiency, improve customer loyalty, and optimize workforce management. Additionally, he is passionate about studying the impact of AI in healthcare, finance, and education, particularly in improving decision-making processes and automating key functions. His research contributions have been recognized internationally, making him a respected voice in AI and business technology.

Awards

Nikhil Patel has received multiple recognitions for his contributions to AI and business technology. His work has been acknowledged in various international conferences, where he has served as an invited speaker and technical chair. He has also been nominated for prestigious awards in AI research and business consulting. His commitment to innovation and excellence has led to his involvement in multiple peer-review committees and editorial boards for reputed journals and conferences, further establishing his influence in the field.

Publications

Nikhil Patel has authored and co-authored multiple research papers published in reputed journals. Some of his notable publications include:

“Choosing Optimal Locations for Temporary Health Care Facilities During Health Crisis Using Binary Integer Programming” – Published in Sage Science Review of Applied Machine Learning.

“Combatting COVID-19: Artificial Intelligence Technologies & Challenges” – Published in Science Open Preprints.

“Leveraging Predictive Modeling, Machine Learning Personalization, NLP Customer Support, and AI Chatbots to Increase Customer Loyalty” – Published in Empirical Quests for Management Essences.

“Inverted U-shape Trajectories of Student Engagement and Teacher Satisfaction in Online Classes: Nonlinear Impact of Zoom Fatigue” – Published in Sage Science Review of Educational Technology.

“Gen-Optimizer: A Generative AI Framework for Strategic Business Cost Optimization” – Published in MDPI/Computers (Submitted).

“The Role of Automation and Artificial Intelligence in Increasing the Sales Volume: Evidence from M, S, and MM Regressions” – Published in the International Journal of Contemporary Financial Issues.

“Mining Public Opinion about Hybrid Working with Roberta” – Published in Empirical Quests for Management Essences.

Conclusion

Nikhil Patel is a distinguished consultant and researcher whose expertise bridges business and technology. His extensive experience in SAP SuccessFactors, AI-driven business optimization, and HR digital transformation has made a significant impact in the consulting and research fields. Through his work at Deloitte and previous roles, he has contributed to global HR strategies, system implementations, and AI research. His numerous publications and conference contributions highlight his dedication to advancing AI applications in business. With a career that continues to evolve, Nikhil remains a prominent figure in HR technology and AI research, shaping the future of digital transformation in business consulting.