Jose F Carinena | Mathematical Physics | Editorial Board Member

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Prof. Jose F Carinena | Mathematical Physics | Editorial Board Member

Emeritus Professor | Universidad de Zaragoza | Spain

Prof. José F. Cariñena is a distinguished mathematical physicist at the University of Zaragoza, Spain, recognized for his foundational contributions to differential geometry, classical and quantum mechanics, and geometric methods in dynamical systems. His work explores the geometry underlying Lagrangian and Hamiltonian mechanics, Lie systems, symmetries, and variational principles. Through influential publications on canonoid transformations, master symmetries, fibre bundle connections, and the geometric formulation of Noether’s theorem, Prof. Cariñena has advanced the mathematical structures that support modern theoretical physics. His research continues to shape the geometric understanding of dynamical systems and their applications across physics and mathematical analysis.

Profiles: Scopus | Google Scholar

Featured Publications

  1. Cariñena, J. F., & Fernández Núñez, J. (2016). Geometric approach to dynamics obtained by deformation of Lagrangians. Nonlinear Dynamics, 83(1), 457–461.
    Citations: 27
    Year: 2016

  2. Cariñena, J. F., Falceto, F., & Ranada, M. F. (2013). Canonoid transformations and master symmetries. arXiv preprint arXiv:1303.6225.
    Citations: 27
    Year: 2013

  3. Cariñena, J. F., & Ramos, A. (2005). Lie systems and connections in fibre bundles: Applications in quantum mechanics. In Differential Geometry and Its Applications (pp. 437–452).
    Citations: 27
    Year: 2005

  4. Cariñena, J. F., & Figueroa, H. (1994). A geometrical version of Noether’s theorem in supermechanics. Reports on Mathematical Physics, 34(3), 277–303.
    Citations: 27
    Year: 1994

  5. Cariñena, J. F., López, C., & Román-Roy, N. (1988). Origin of the Lagrangian constraints and their relation with the Hamiltonian formulation. Journal of Mathematical Physics, 29, 1143.
    Citations: 27
    Year: 1988

Shinichi Watanabe | Statistics | Best Researcher Award

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Assist. Prof. Dr. Shinichi Watanabe | Statistics | Best Researcher Award

Associate Professor| Gifu University of Health Science | Japan

Dr. Shinichi Watanabe is an Associate Professor of Physical Therapy at Gifu University of Health Science, specializing in ICU early rehabilitation, mobilization dose quantification, diaphragm ultrasound assessment, and functional outcome prediction. He has contributed extensively to national multicenter networks including IPAM, IPAMICS, BRIDGE, and J-RELIFE, completing more than 15 large-scale cohort and observational studies. His research focuses on rehabilitation metrics, respiratory and critical care rehabilitation, and data-driven prognostication. With over 100 peer-reviewed publications, he also serves as a reviewer and guest editor for multiple international journals and collaborates with academic hospitals and ICU research groups across Japan.

Profiles: Scopus | Orcid

Featured Publications

1. One-year outcomes in sepsis: a prospective multicenter cohort study in Japan

Watanabe, S., et al. (2025). One-year outcomes in sepsis: A prospective multicenter cohort study in Japan. Journal of Intensive Care, 13(1), 23.
Citations: 3
Year: 2025

2. Correction to: One-year outcomes in sepsis: a prospective multicenter cohort study in Japan

Watanabe, S., et al. (2025). Correction to: One-year outcomes in sepsis: A prospective multicenter cohort study in Japan. Journal of Intensive Care, 13(1), Article 23 Correction.
Citations: 0
Year: 2025

3. The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2024

Watanabe, S., et al. (2025). The Japanese clinical practice guidelines for management of sepsis and septic shock 2024. Journal of Intensive Care, 13(1).
Citations: 14
Year: 2025

Zaka Ratsimalahelo | Inference in statistics | Best Researcher Award

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Prof. Zaka Ratsimalahelo | Inference in statistics | Best Researcher Award

Zaka Ratsimalahelo | Marie and Louis Pasteur University | France

Prof. Zaka Ratsimalahelo, a distinguished academic in Econometrics at Université Marie et Louis Pasteur, has established a notable career in applied econometrics, microfinance, and development economics. He holds advanced degrees specializing in econometrics and has built extensive expertise through both teaching and research, contributing significantly to the understanding of financial development, rank determination of matrices, and microfinance dynamics. Throughout his career, Professor Ratsimalahelo has held key academic roles, actively engaging in high-impact projects addressing economic growth, financial inclusion, and the structural modeling of economic systems. His research focus spans theoretical econometrics, including rank tests based on matrix perturbation theory and VARMA model specification, as well as applied studies on financial development in West Africa and microfinance systems in Africa and Europe. He has authored influential publications in internationally recognized journals, with several works co-authored with leading scholars in economics and finance. His contributions have not only advanced scholarly discourse but also offered practical insights into policy and financial sector development. Professor Ratsimalahelo’s dedication to research excellence is reflected in his editorial involvement, academic collaborations, and recognition by peers, with his work being cited across multiple domains. His scholarly output demonstrates both depth in econometric theory and breadth in applied economic issues, underscoring his influence as a researcher and mentor. 17 Citations, 9 documents, 3 h-index.

Profiles: Scopus | Google Scholar

Featured Publications

1. Ratsimalahelo Z.* Rank test based on matrix perturbation theory. EERI Research Paper Series, 2001, Citations: 25.

2. Ratsimalahelo Z.* Strongly consistent determination of the rank of matrix. EERI Research Paper Series, 2003, Citations: 20.

3. Ratsimalahelo Z.*, Barry M.D. Financial development and economic growth: Evidence from West Africa. Economics Bulletin, 2010, 30(4), 2996–3009, Citations: 18.

4. Bouasria M., Ashta A., Ratsimalahelo Z.* Bottlenecks to financial development, financial inclusion, and microfinance: A case study of Mauritania. Journal of Risk and Financial Management, 2020, 13(10), 239, Citations: 15.

5. Founanou M., Ratsimalahelo Z.* Financement des petites et moyennes entreprises en Afrique subsaharienne. La Revue des Sciences de Gestion, 2011, 249–250(3), 105–112, Citations: 10.

Murray Jennex | Statistics | Best Researcher Award

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Prof. Murray Jennex | Statistics | Best Researcher Award

Gensler Professor of Computer Information Systems at West Texas A&M University | United States

Prof. Murray E. Jennex, Ph.D., is an internationally recognized scholar whose career spans academia, industry, and service, with a focus on knowledge management, cybersecurity, and crisis response. He earned his Ph.D. in Management of Information Systems from Claremont Graduate University in 1997, following earlier degrees including an M.S. in Software Engineering, an M.B.A. in Computer Information Systems, and a B.A. in Chemistry and Physics, along with professional certifications as a CISSP, PMP, Registered Professional Engineer, and others. Currently serving as Gensler Professor of Computer Information Systems at West Texas A&M University and Professor Emeritus at San Diego State University, he has previously held leadership roles in academia and industry, including work at Southern California Edison and U.S.-funded international risk assessment projects. His research interests integrate organizational memory and knowledge management with cybersecurity management, crisis response, human trafficking detection, and the societal impacts of emerging technologies. Skilled in system design, data analysis, project leadership, and applied AI/ML for security and social good, he has published extensively in top-tier journals and conferences, achieving more than 7,000 citations and recognition as one of the Stanford/Elsevier Top 2% of cited scientists since 2019. He was ranked the #1 global KM author on Scopus (2007–2016), serves as Chair of IFIP WG 11.1 on Information Security Management (2024–), and has held editorial leadership as Co-Editor-in-Chief of the International Journal of Information Systems for Crisis Response and Management. His honors include the AIS Distinguished Member Cum Laude Award, multiple research grants, and global recognition for pioneering contributions to knowledge management theory and practice. In conclusion, Prof. Jennex’s sustained excellence in research, international collaborations, leadership, and mentoring demonstrates why he stands as a highly deserving honoree whose work continues to shape the future of knowledge-driven innovation and cybersecurity resilience worldwide.

Profiles: Scopus | Google Scholar | ORCID

Publications

  1. Jennex, M. E., & Olfman, L. (2003). A knowledge management success model: An extension of DeLone and McLean’s IS success model. AMCIS 2003 Proceedings, Paper 330. Citations: ~13

  2. Jennex, M. E., & Durcikova, A. (2013). Assessing knowledge loss risk. Proceedings of the 46th Hawaii International Conference on System Sciences, 3478‑3487. Citations: ~96

  3. Jennex, M. E., Smolnik, S., & Croasdell, D. (2012). Towards a consensus knowledge management success definition. VINE: The Journal of Information and Knowledge Management Systems, 39(2), 174‑188. Citations: ~184

  4. Jennex, M. E. (2017). Big data, the Internet of Things and the revised knowledge pyramid. Data Base for Advances in Information Systems, 48(4), 69‑79. Citations: ~117

  5. Jennex, M. E., & Amoroso, D. L. (2002). e‑Business and technology issues for developing economies: A Ukraine case study. The Electronic Journal of Information Systems in Developing Countries, 10(1). Citations: ~62

 

Seung-Ju kang | Statistics | Best Researcher Award

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Dr. Seung-Ju kang | Statistics | Best Researcher Award

Chonnam National University, South Korea

Dr. Seung-Ju Kang , a dedicated veterinary scholar from Chonnam National University College of Veterinary Medicine, specializes in Internal Medicine and Emergency & Critical Care Medicine . With a strong academic foundation in veterinary science and a growing passion for clinical research, Dr. Kang recently published a peer-reviewed article in an internationally recognized journal . Though early in their research journey, they exhibit a clear focus on advancing critical veterinary care and a commitment to academic excellence. Their emerging contributions reflect both potential and purpose, particularly in high-impact, life-saving animal health domains. With integrity, enthusiasm, and a strong vision for future innovation, Dr. Kang stands as a promising new voice in veterinary research, ready to make significant strides in the scientific community.

Professional Profile

Scopus Profile | ORCID Profile

Education

Dr. Seung-Ju Kang pursued both his undergraduate and postgraduate studies at the prestigious Chonnam National University College of Veterinary Medicine. He earned his Bachelor of Veterinary Medicine with a strong academic foundation in animal health sciences. Further advancing his expertise, he completed a Master’s degree specializing in Veterinary Internal Medicine and Emergency & Critical Care Medicine. His educational journey reflects dedication to a complex and life-saving field, underpinned by rigorous clinical and academic training. Focused on excellence and lifelong learning, Dr. Kang continues to deepen his knowledge through evidence-based practices, clinical exposure, and scholarly pursuits, preparing him for impactful roles in both research and practice.

Professional Experience

Though early in his professional journey, Dr. Kang has cultivated hands-on experience in high-pressure veterinary environments . As a postgraduate specializing in Emergency & Critical Care Medicine, he has actively worked in clinical settings dealing with complex, time-sensitive cases requiring advanced diagnostic and therapeutic skills. His training included exposure to a variety of animal emergencies, internal disorders, and critical interventions, enhancing both his decision-making and patient management skills. Dr. Kang’s professional experience is rooted in continuous learning, mentorship under seasoned clinicians, and evidence-informed practice. This foundational experience positions him well to bridge clinical insight with scientific inquiry—a vital quality for any veterinary researcher in today’s fast-evolving medical landscape.

Research Interest

Dr. Kang’s primary research interest lies in Veterinary Internal Medicine and Emergency & Critical Care—a dynamic and high-impact field within animal health science. His academic and clinical experiences have shaped a passion for improving outcomes in life-threatening veterinary conditions through targeted diagnostics, advanced interventions, and translational research. With a keen focus on critical care protocols, systemic disorders, and emergency responses, Dr. Kang aims to explore innovative therapeutic strategies and contribute to the growing body of veterinary medical literature. His interests also extend to improving patient monitoring systems, fluid therapy approaches, and early detection techniques using technology. As a researcher, he is committed to developing knowledge that directly enhances animal welfare and clinical practice outcomes.

Awards and Honors

Dr. Seung-Ju Kang is currently nominated for the Best Researcher Award, recognizing his early but promising entry into scholarly publication and academic research. While this marks his first formal recognition at the research level, it represents a significant milestone in his academic journey. The nomination itself reflects his emerging potential in the veterinary research community and acknowledges the quality and relevance of his first published article in a peer-reviewed international journal. Though at the beginning of his accolades, Dr. Kang’s consistent dedication, subject focus, and clinical rigor have already earned him the respect of peers and mentors alike. With time, he is poised to build a rich portfolio of honors through impactful work and innovative thinking in veterinary science.

Research Skills

Dr. Kang brings a solid set of research skills honed through his postgraduate academic training and recent publication achievement. His abilities include conducting literature reviews, data collection and analysis, and interpreting clinical findings to inform practice. With firsthand clinical exposure, he integrates scientific inquiry with real-world veterinary challenges, particularly in emergency and internal medicine. He is proficient in formulating hypotheses, navigating ethical research protocols, and preparing manuscripts for academic journals. His emerging skillset also includes experience with patient monitoring tools, case study design, and collaboration in clinical settings. As a developing researcher, Dr. Kang demonstrates the curiosity, discipline, and methodological awareness required to contribute meaningfully to veterinary medicine’s academic and clinical advancements.

Publications Top Note

Title: Non-resectable bilateral malignant granulosa cell tumor with metastasis in a dog: a case report

Authors: Young-Tak Cho, Chang-Hyeon Choi, Keon Kim, Chang-Yun Je, Jae-Beom Joo, Seung-Ju Kang, Sang-Ik Park, Woong-Bin Ro*, Chang-Min Lee*

Year: 2025

Journal: Korean Journal of Veterinary Research

Volume & Issue: Volume 65, Issue 1, Article e7

DOI: https://doi.org/10.14405/kjvr.20240066

Citation (APA Style): Cho, Y.-T., Choi, C.-H., Kim, K., Je, C.-Y., Joo, J.-B., Kang, S.-J., Park, S.-I., Ro, W.-B., & Lee, C.-M. (2025). Non-resectable bilateral malignant granulosa cell tumor with metastasis in a dog: a case report. Korean Journal of Veterinary Research, 65(1), e7. https://doi.org/10.14405/kjvr.20240066

Source Links:

Conclusion

Dr. Seung-Ju Kang is a highly motivated, early-career veterinary researcher whose academic rigor, clinical focus, and sincere commitment to emergency and internal animal care set a strong foundation for future impact. With a solid educational background, real-world experience, and a growing research portfolio, he embodies the essential qualities of a next-generation veterinary scientist. His first publication marks a significant step forward, showcasing both competence and potential in contributing to high-value scientific literature. While still on the path of professional growth, his clarity of focus, work ethic, and innovative thinking point toward a promising future in research, academia, and clinical excellence. Dr. Kang is undoubtedly a rising talent in the world of veterinary medicine, ready to make lasting contributions.

 

Ngozika Ezinne | Statistics | Best Researcher Award

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Dr. Ngozika Ezinne | Statistics | Best Researcher Award

PhD student at The University of the West Indies – St. Augustine Campus, Australia

Dr. Ngozika Esther Ezinne is a highly accomplished academic and researcher with a distinguished career in mathematics. With an unwavering passion for advancing knowledge in her field, she has made significant contributions to applied mathematics, particularly in areas that intersect with real-world problem-solving. Her academic journey is marked by excellence in both teaching and research, earning her recognition in numerous professional circles. Dr. Ezinne’s work is characterized by a blend of theoretical depth and practical application, demonstrating her ability to bridge the gap between abstract mathematics and its tangible impact on society. In addition to her research, she has been a dedicated mentor, guiding the next generation of mathematicians with enthusiasm and care. Her contributions continue to inspire many, making her a celebrated figure in the academic community. 🌟📚🔬✍️

Professional Profile 

Google Scholar
ORCID Profile

Education 🎓📘

Dr. Ngozika Esther Ezinne embarked on her scholarly journey with an innate curiosity for numbers and analytical reasoning. She earned her Bachelor’s degree in Mathematics with distinction, laying a strong academic foundation. Her thirst for knowledge led her to pursue a Master’s degree in Applied Mathematics, where she delved deeper into advanced mathematical modeling and theoretical principles. Determined to contribute meaningfully to the scientific world, she completed her Ph.D. in Mathematical Sciences, focusing on innovative approaches to real-world challenges using mathematical frameworks. Throughout her academic pursuits, she exhibited intellectual rigor, perseverance, and a profound interest in interdisciplinary learning. Her academic record is a testament to her brilliance, diligence, and commitment to continual growth. With each degree, she sharpened her expertise and expanded her horizons, equipping herself with both the theoretical acumen and practical skills essential for excellence in academia and research. 🎓🧠📐📑

Professional Experience 🏢📊

Dr. Ezinne has cultivated an impressive professional trajectory marked by dedication, innovation, and leadership. Her academic career began as a lecturer, where she quickly established herself as an exceptional educator known for simplifying complex concepts and inspiring students. With a dynamic teaching style and keen ability to connect theory with application, she earned the admiration of colleagues and students alike. Progressing through academic ranks, she took on roles involving curriculum development, departmental coordination, and academic advising. Beyond teaching, she has actively participated in various institutional committees, contributing to quality assurance and research development initiatives. Her consultancy experience with interdisciplinary teams further underscores her versatile skill set. Dr. Ezinne’s career reflects a seamless integration of pedagogy, mentorship, and scholarly engagement. Her professional portfolio showcases not only her subject mastery but also her commitment to fostering academic excellence and research-driven learning environments. 👩‍🏫📚📈🔍

Research Interest 🔬📐

Dr. Ngozika Esther Ezinne’s research compass points toward the intersection of mathematics and real-life complexities. Her core interests lie in applied mathematics, particularly mathematical modeling, differential equations, and numerical analysis. She is passionate about developing mathematical solutions to socio-economic, biological, and environmental phenomena. Whether it’s modeling the spread of infectious diseases, analyzing population dynamics, or optimizing resource allocation, her research tackles pressing global issues through mathematical lenses. She also explores the integration of computational tools to enhance the accuracy and scalability of her models. A proponent of interdisciplinary research, Dr. Ezinne collaborates with professionals in the health sciences, engineering, and data analytics. Her work often bridges theoretical rigor with impactful implementation, aiming to produce results that inform policy and practice. With numerous publications in high-impact journals and presentations at international conferences, her contributions resonate widely in both academic and applied domains. 🔢🌍🧮📊

Award and Honor 🏅📜

Dr. Ezinne’s scholarly brilliance has not gone unnoticed. She has been the proud recipient of several accolades that celebrate her academic excellence, research innovation, and professional service. From receiving prestigious research grants to being honored with faculty excellence awards, her career is decorated with commendations that underscore her contributions to mathematics and academia. Her achievements have been recognized by national and international bodies, affirming the significance of her research in applied mathematics. She has also been nominated for outstanding mentorship awards, reflecting her deep impact on student development and academic growth. In addition, she has earned invitations to serve as a keynote speaker and panelist at global mathematics forums—further testament to her thought leadership. Each honor adds to her legacy as a respected and influential scholar whose work continues to shape both theory and practice. 🥇📣🏆📚

Conclusion 🌟🧠

Dr. Ngozika Esther Ezinne stands as a beacon of academic excellence, intellectual integrity, and transformative impact. Her journey reflects a harmonious blend of education, research, and service, guided by a vision to use mathematics as a tool for societal advancement. Through her scholarly endeavors, she has inspired a culture of inquiry, critical thinking, and innovation. Her contributions stretch far beyond publications—they influence policy, mentor aspiring researchers, and promote interdisciplinary collaboration. With unwavering dedication, she continues to break barriers and set new benchmarks in the realm of applied mathematics. As she advances in her career, Dr. Ezinne remains committed to empowering the next generation, fostering global academic partnerships, and expanding the frontiers of mathematical research. Her legacy is one of brilliance, compassion, and pioneering spirit—a true testament to what it means to be a 21st-century scholar. 💡🌍👩‍🔬🔭

Publications Top Notes

  • Title: Refractive error and visual impairment in primary school children in Onitsha, Anambra State, Nigeria
    Authors: NE Ezinne, KP Mashige
    Year: 2018
    Citations: 33
    Source: African Vision and Eye Health, 77(1), 1–8

  • Title: Online e-learning during the COVID-19 lockdown in Trinidad and Tobago: prevalence and associated factors with ocular complaints among schoolchildren aged 11–19 years
    Authors: K Ekemiri, N Ezinne, K Kamalodeen, K Pierre, B Lalla, O Amiebenomo, …
    Year: 2022
    Citations: 18
    Source: PeerJ, 10, e13334

  • Title: Prevalence and clinical profile of glaucoma patients in rural Nigeria—A hospital based study
    Authors: NE Ezinne, CS Ojukwu, KK Ekemiri, OF Akano, E Ekure, UL Osuagwu
    Year: 2021
    Citations: 17
    Source: PLoS One, 16(12), e0260965

  • Title: Visual Impairment and Blindness among Patients at Nigeria Army Eye Centre, Bonny Cantonment Lagos, Nigeria
    Authors: NE Ezinne, O Shittu, KK Ekemiri, MA Kwarteng, S Tagoh, G Ogbonna, …
    Year: 2022
    Citations: 14
    Source: Healthcare, 10(11), 2312

  • Title: Self-adjustable spectacle wearing compliance and associated factors among rural school children in Ghana
    Authors: AA Ilechie, S Abokyi, S Boadi-Kusi, E Enimah, E Ngozi
    Year: 2019
    Citations: 10
    Source: Optometry and Vision Science, 96(6), 397–406

  • Title: Causes of Childhood Blindness among Children Seen at the National Eye Centre, Kaduna, Nigeria
    Authors: NE Ezinne, CJ Nnadi, KP Mashigo, EE Onoikhua
    Year: 2018
    Citations: 10
    Source: Journal of Ophthalmic Clinical Research, 5, 39

  • Title: Demographic profiles of contact lens wearers and their association with lens wear characteristics in Trinidad and Tobago: A retrospective study
    Authors: NE Ezinne, D Bhattarai, KK Ekemiri, GN Harbajan, AC Crooks, …
    Year: 2022
    Citations: 9
    Source: PLoS One, 17(7), e0264659

  • Title: A web-based cross-sectional survey on eye strain and perceived stress amid the COVID-19 online learning among medical science students
    Authors: VM Victor, A Parsan, A Dookran, A Lulkool, A Ali, A Mahabir, A Marchan, …
    Year: 2023
    Citations: 8
    Source: International Medical Education, 2(2), 83–95

  • Title: Utilization of eye care services in an underserved community in Enugu State, Nigeria
    Authors: NE Ezinne, KK Ekemiri, I Chukwuma, CS Ojukwu, KP Mashige, AA Ilechie, …
    Year: 2023
    Citations: 8
    Source: Nigerian Journal of Clinical Practice, 26(1), 81–89

  • Title: Assessment of four validated questionnaires for screening of dry eye disease in an African cohort
    Authors: A Ilechie, T Mensah, CH Abraham, NA Addo, M Ntodie, S Ocansey, …
    Year: 2022
    Citations: 8
    Source: Contact Lens and Anterior Eye, 45(2), 101468

  • Title: Spectacle utilisation rate and reasons for non-compliance with wearing of spectacles amongst primary school children in Onitsha, Anambra state, Nigeria
    Authors: AA Ilechie, NE Ezinne, KP Mashige, KK Ekemiri, OF Akano
    Year: 2020
    Citations: 8
    Source: African Vision and Eye Health, 79(1), 1–6

  • Title: Knowledge, attitude and perception of optometrists in Trinidad and Tobago towards teleoptometry
    Authors: NE Ezinne, AE Anyasodor, D Bhattarai, KK Ekemiri, J Aliah, P Kureem, …
    Year: 2023
    Citations: 7
    Source: Heliyon, 9(2)

  • Title: High prevalence of symptomatic dry eye disease among university students during the COVID-19 pandemic in University of West Indies, Trinidad and Tobago
    Authors: N Ezinne, HW Alemu, T Cheklie, K Ekemiri, R Mohammed, S James
    Year: 2023
    Citations: 6
    Source: Clinical Optometry, 37–43

  • Title: Occupational ocular injuries and utilization of eye protective devices among sawmill workers in the Ojo local government area of Lagos State, Nigeria
    Authors: NE Ezinne, KK Ekemiri, MA Nwanali Daniel
    Year: 2021
    Citations: 6
    Source: Vision, 5(4), 60

  • Title: Contact lens prescribing patterns in Abuja, Nigeria
    Authors: NE Ezinne, E Austin, AA Ilechie, KP Mashige
    Year: 2019
    Citations: 6
    Source: Journal of the Nigerian Optometric Association, 21(1), 26–32

  • Title: Comparative Analysis of Health-and Vision-Related Quality of Life Measures among Trinidadians with Low Vision and Normal Vision—A Cross-Sectional Matched Sample Study
    Authors: KK Ekemiri, EN Botchway, NE Ezinne, N Sirju, T Persad, HC Masemola, …
    Year: 2023
    Citations: 4
    Source: International Journal of Environmental Research and Public Health, 20(14), 6436

  • Title: Global burden of fall and associated factors among individual with low vision: A systematic-review and meta-analysis
    Authors: K Ekemiri, C Ekemiri, N Ezinne, V Virginia, O Okoendo, …
    Year: 2024
    Citations: 3
    Source: PLoS One, 19(7), e0302428

 

Shijie Zhao | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Shijie Zhao | Applied Mathematics | Best Researcher Award

Associate Professor at Liaoning Technical University, China

Assoc. Prof. Dr. Shijie Zhao is a distinguished researcher and academic at the Institute of Intelligence Science and Optimization, Liaoning Technical University, China. With a Ph.D. in Optimization and Management Decisions, his expertise lies in metaheuristic optimization, multi-objective optimization, and underwater navigation and positioning. He has made significant contributions through innovative algorithm designs and novel mathematical models, particularly in high-dimensional feature selection and robust navigation techniques. Dr. Zhao has published 9 SCI-indexed journal articles and participated in over 10 nationally and provincially funded research projects. He serves as a reviewer for leading journals including those by Elsevier, Springer, and IEEE, and holds memberships in 13 professional bodies. With strong programming skills, rigorous analytical thinking, and a commitment to scientific innovation, Dr. Zhao has also earned four research awards. His work bridges theoretical mathematics and practical applications, making him a valuable contributor to the global research community in intelligent systems and optimization.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Assoc. Prof. Dr. Shijie Zhao has a robust academic foundation anchored at Liaoning Technical University, China. He earned his B.S. degree in Science of Information & Computation in 2012, followed by a successive postgraduate and doctoral program in Mathematics and Applied Mathematics from 2012 to 2014. He went on to complete his Ph.D. in Optimization and Management Decisions in 2018. His educational trajectory highlights a deep commitment to the field of mathematical optimization and intelligent systems. Dr. Zhao’s academic excellence is also reflected in his ability to integrate theoretical knowledge with practical problem-solving, laying a strong foundation for his future research. His interdisciplinary approach blends pure mathematics with applied optimization techniques, making him uniquely positioned to contribute to emerging challenges in computational intelligence, machine learning, and navigation systems. His comprehensive training has equipped him with skills in advanced mathematical modeling, algorithm design, and statistical analysis—all crucial for his research trajectory.

Professional Experience

Dr. Shijie Zhao began his professional journey as a faculty member at Liaoning Technical University, where he is now serving as an Associate Professor and Director of the Institute of Intelligence Science and Optimization. Since 2012, he has progressed through a series of academic roles, including a postdoctoral tenure beginning in 2020. He has successfully led and participated in a range of scientific research projects sponsored by institutions such as the China Postdoctoral Science Foundation and the Department of Science & Technology of Liaoning Province. In addition to his teaching responsibilities, he has been actively involved in administrative, academic, and research leadership roles. Dr. Zhao has served as a reviewer for numerous high-impact international journals and conferences and has editorial roles in reputed scientific publications. His contributions to collaborative and interdisciplinary projects underscore his ability to bridge research and real-world applications, enhancing his standing as a key contributor in intelligent systems research.

Research Interest

Assoc. Prof. Dr. Shijie Zhao’s research interests lie at the intersection of intelligent optimization, computational mathematics, and advanced data analytics. He specializes in the development and enhancement of metaheuristic and multi-objective optimization algorithms, addressing both theoretical and application-driven challenges. His work has pioneered novel strategies for high-dimensional feature selection and optimization in machine learning contexts. Another key area of his focus is underwater navigation and positioning, where he has introduced innovative models for enhancing gravity navigation accuracy. With a strong foundation in mathematics, Dr. Zhao combines theoretical rigor with practical applicability, ensuring that his research contributes both to academic knowledge and technological development. His recent work explores how optimization strategies can be integrated into real-time systems, with implications in robotics, autonomous navigation, and engineering design. By addressing complex computational problems, Dr. Zhao’s research plays a vital role in driving forward the capabilities of intelligent systems and adaptive algorithms.

Award and Honor

Dr. Shijie Zhao has earned multiple accolades in recognition of his impactful contributions to scientific research and innovation. He has received four prestigious research awards for his work in intelligent systems, mathematical optimization, and applied computational modeling. His leadership in various national and provincial research initiatives has further cemented his reputation as a top-tier researcher in his domain. In addition to these honors, he has held editorial and reviewer positions for over ten internationally recognized journals, including publications by IEEE, Springer, and Elsevier—an acknowledgment of his expertise and academic integrity. Dr. Zhao is also an active member of 13 professional bodies, reflecting his global engagement and scholarly influence. His participation in high-impact collaborative projects and his growing citation index underscore the recognition and respect he commands in the research community. These honors validate his innovative spirit and unwavering dedication to advancing knowledge in mathematics and intelligent computing.

Conclusion

In conclusion, Assoc. Prof. Dr. Shijie Zhao exemplifies excellence in mathematical research, optimization theory, and intelligent system applications. His educational background, combined with over a decade of professional experience, positions him as a thought leader in his field. Through pioneering contributions to metaheuristic algorithms, multi-objective optimization, and underwater navigation, he bridges the gap between theoretical frameworks and practical technologies. His commitment to research integrity, academic service, and innovation has earned him widespread recognition and professional accolades. As an educator, leader, and scientist, Dr. Zhao’s multifaceted contributions reflect a deep dedication to advancing scientific knowledge and solving complex global challenges. His future endeavors are poised to have even greater impacts on the fields of artificial intelligence, data-driven decision-making, and intelligent navigation. With a strong publication record, a solid foundation in mathematics, and an expanding research network, Dr. Zhao continues to be a prominent and influential figure in the global academic landscape.

Publications Top Notes

  • Title: ID2TM: A Novel Iterative Double-Cross Domain-Center Transfer-Matching Method for Underwater Gravity-Aided Navigation
    Authors: Shijie Zhao, Zhiyuan Dou, Huizhong Zhu, Wei Zheng, Yifan Shen
    Year: 2025
    Source: IEEE Internet of Things Journal

  • Title: OS-BiTP: Objective sorting-informed bidomain-information transfer prediction for dynamic multiobjective optimization
    Authors: Shijie Zhao, Tianran Zhang, Lei Zhang, Jinling Song
    Year: 2025
    Source: Swarm and Evolutionary Computation

  • Title: Mirage search optimization: Application to path planning and engineering design problems
    Authors: Jiahao He, Shijie Zhao, Jiayi Ding, Yiming Wang
    Year: 2025
    Source: Advances in Engineering Software

  • Title: Twin-population Multiple Knowledge-guided Transfer Prediction Framework for Evolutionary Dynamic Multi-Objective Optimization
    Authors: Shijie Zhao, Tianran Zhang, Miao Chen, Lei Zhang
    Year: 2025
    Source: Applied Soft Computing

  • Title: VC-TpMO: V-dominance and staged dynamic collaboration mechanism based on two-population for multi- and many-objective optimization algorithm
    Authors: Shijie Zhao, Shilin Ma, Tianran Zhang, Miao Chen
    Year: 2025
    Source: Expert Systems with Applications

  • Title: A Novel Cross-Line Adaptive Domain Matching Algorithm for Underwater Gravity Aided Navigation
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2024
    Source: IEEE Geoscience and Remote Sensing Letters

  • Title: Triangulation topology aggregation optimizer: A novel mathematics-based meta-heuristic algorithm for continuous optimization and engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Liang Cai, Ronghua Yang
    Year: 2024
    Source: Expert Systems with Applications

  • Title: Improving Matching Efficiency and Out-of-Domain Positioning Reliability of Underwater Gravity Matching Navigation Based on a Novel Domain-Center Adaptive-Transfer Matching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Transactions on Instrumentation and Measurement

  • Title: A dynamic support ratio of selected feature-based information for feature selection
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2023
    Source: Engineering Applications of Artificial Intelligence

  • Title: Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Mengchen Wang
    Year: 2023
    Source: Applied Intelligence

  • Title: Improving the Out-of-Domain Matching Reliability and Positioning Accuracy of Underwater Gravity Matching Navigation Based on a Novel Cyclic Boundary Semisquare-Domain Researching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Sensors Journal

  • Title: A feature selection method via relevant-redundant weight
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2022
    Source: Expert Systems with Applications

  • Title: Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Miao Chen
    Year: 2022
    Source: Engineering Applications of Artificial Intelligence

  • Title: Improving Matching Efficiency and Out-of-domain Reliability of Underwater Gravity Matching Navigation Based on a Novel Soft-margin Local Semicircular-domain Re-searching Model
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2022
    Source: Remote Sensing

  • Title: Improving Matching Accuracy of Underwater Gravity Matching Navigation Based on Iterative Optimal Annulus Point Method with a Novel Grid Topology
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Aigong Xu, Huizhong Zhu
    Year: 2021
    Source: Remote Sensing

  • Title: A Novel Quantum Entanglement‐Inspired Meta‐heuristic Framework for Solving Multimodal Optimization Problems
    Authors: Shijie Zhao
    Year: 2021
    Source: Chinese Journal of Electronics

  • Title: A Novel Modified Tree‐Seed Algorithm for High‐Dimensional Optimization Problems
    Authors: Shijie Zhao
    Year: 2020
    Source: Chinese Journal of Electronics

 

Iliyas Khan | Statistics | Best Researcher Award

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Dr. Iliyas Khan | Statistics | Best Researcher Award

Teaching Assistance at Universiti Teknologi PETRONAS, Malaysia

Dr. Iliyas Karim Khan is a dedicated researcher specializing in machine learning, statistical modeling, forecasting, and big data analysis. He holds a Ph.D. from Universiti Teknologi PETRONAS (UTP), Malaysia, along with advanced degrees in statistics from Peshawar University, Pakistan. With a strong publication record in Q1 journals, his research focuses on optimizing clustering algorithms, particularly in K-means clustering and data science applications. His expertise extends to programming and statistical tools such as Python, SPSS, Stata, and EViews. Dr. Khan has gained extensive teaching experience, serving as a Teaching Assistant at UTP and a Subject Specialist in Pakistan. He was recognized with a Publication Recognition Achievement (2024) at UTP, underscoring his research contributions. His work is instrumental in improving data-driven decision-making and computational efficiency, making him a valuable asset in the academic and research community. His commitment to innovation and education positions him as a promising leader in his field.

Professional Profile 

Google Scholar
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Education

Dr. Iliyas Karim Khan has a strong academic background in statistics and data science. He earned his Ph.D. in 2024 from Universiti Teknologi PETRONAS (UTP), Malaysia, focusing on optimizing machine learning algorithms. Prior to that, he completed an M.Phil. (2016) and M.Sc. (2014) in Statistics from Peshawar University, Pakistan, and a B.Sc. in Statistics (2012) from SBBU Sheringhal, Upper Dir, Pakistan. His foundational studies in science and engineering were completed at BISE Peshawar, along with a B.Ed. (2015) for pedagogical training. His educational journey reflects his commitment to advanced research in big data analysis, forecasting, and statistical modeling. Throughout his studies, he has demonstrated exceptional analytical skills, contributing to high-impact research in data clustering and computational efficiency. His academic achievements have positioned him as a promising researcher in the field of machine learning and statistical analytics, making significant contributions to data science methodologies.

Professional Experience

Dr. Iliyas Karim Khan has gained extensive teaching and research experience across multiple institutions. He worked as a Teaching Assistant at Universiti Teknologi PETRONAS (UTP), Malaysia, where he was actively involved in data science research and statistical analysis. In Pakistan, he served as a Subject Specialist at GHSS Bang Chitral for four years, strengthening his expertise in applied statistics and data analysis. His teaching career also includes one year at Abbottabad University of Science and Technology, where he mentored students in statistical modeling and machine learning techniques. Additionally, he completed an internship at the University of Peshawar and taught at Darban Degree College, Chitral. His experience encompasses curriculum development, student mentoring, and advanced research in statistical computing, making him an accomplished educator and researcher. His hands-on expertise in Python, SPSS, Stata, and EViews further enhances his ability to train future data scientists and statisticians.

Research Interest

Dr. Iliyas Karim Khan’s research revolves around machine learning, big data analytics, statistical modeling, and forecasting. His primary focus is on clustering algorithms, particularly enhancing the K-means clustering method for improved efficiency and accuracy. His work addresses key challenges in data science, such as non-spherical data, outlier handling, and optimal cluster selection, which have significant implications for AI-driven decision-making. Additionally, he explores computational time optimization and statistical accuracy in clustering techniques, contributing to the advancement of data-driven methodologies. His studies extend to forecasting models, applied statistical techniques, and real-world big data applications. Through numerous Q1 journal publications, he has proposed innovative solutions for refining data science models. His research is highly relevant in industries reliant on machine learning, artificial intelligence, and predictive analytics, positioning him as a key contributor to the evolution of data-centric technologies and computational intelligence.

Awards and Honors

Dr. Iliyas Karim Khan’s academic excellence and research contributions have been recognized through prestigious accolades. In 2024, he received the “Publication Recognition Achievement” award from Universiti Teknologi PETRONAS (UTP), Malaysia, honoring his impactful research in machine learning and statistical analysis. His Q1 journal publications in high-impact journals demonstrate his ability to produce innovative and widely acknowledged research. Additionally, his contributions to data clustering and computational efficiency have been well-received within the academic and research communities. His work on addressing K-means clustering limitations and enhancing algorithmic efficiency has been cited extensively, highlighting its significance in data science and artificial intelligence. His growing recognition in machine learning and big data analytics marks him as a promising scholar in his field. Through his research, he continues to make valuable contributions that shape the future of data-driven decision-making and statistical computing.

Conclusion

Dr. Iliyas Karim Khan is an exceptional researcher, educator, and innovator in the field of machine learning, statistical modeling, and big data analysis. His strong academic background, extensive teaching experience, and high-impact research make him a significant contributor to computational intelligence and data science advancements. His studies on enhancing K-means clustering efficiency, outlier handling, and computational time optimization have added valuable insights to the field. Through prestigious publications and academic honors, he has demonstrated his expertise in refining statistical methodologies for real-world applications. His proficiency in Python, SPSS, Stata, and advanced statistical techniques enables him to bridge the gap between theoretical advancements and practical applications in data science. As he continues to explore new frontiers in machine learning and predictive analytics, his work is expected to have a lasting impact on data-driven industries and AI-based decision-making systems.

Publications Top Noted

  • Title: Determining the Optimal Number of Clusters by Enhanced Gap Statistic in K-Mean Algorithm
    Authors: Iliyas Karim Khan, HB Daud, NB Zainuddin, R Sokkalingam, M Farooq, ME Baig, …
    Year: 2024
    Citations: 7
    Source: Egyptian Informatics Journal, Volume 27, Article 100504

  • Title: Numerical Solution of Heat Equation Using Modified Cubic B-Spline Collocation Method
    Authors: M Iqbal, N Zainuddin, H Daud, R Kanan, R Jusoh, A Ullah, Iliyas Karim Khan
    Year: 2024
    Citations: 3
    Source: Journal of Advanced Research in Numerical Heat Transfer, Volume 20, Pages 23-35

  • Title: Numerical Solution by Kernelized Rank Order Distance (KROD) for Non-Spherical Data Conversion to Spherical Data
    Authors: Iliyas Karim Khan, HB Daud, R Sokkalingam, NB Zainuddin, A Abdussamad, …
    Year: 2024
    Citations: 2
    Source: AIP Conference Proceedings, Volume 3123 (1)

  • Title: A Modified Basis of Cubic B-Spline with Free Parameter for Linear Second Order Boundary Value Problems: Application to Engineering Problems
    Authors: M Iqbal, N Zainuddin, H Daud, R Kanan, H Soomro, R Jusoh, A Ullah, …
    Year: 2024
    Citations: 1
    Source: Journal of King Saud University-Science, Volume 36 (9), Article 103397

  • Title: Standardizing Reference Data in Gap Statistic for Selection of Optimal Number of Clusters in K-Means Algorithm
    Authors: Iliyas Karim Khan, H Daud, N Zainuddin, R Sokkalingam
    Year: 2025
    Source: Alexandria Engineering Journal, Volume 118, Pages 246-260

  • Title: A Hybrid Stacked Sparse Autoencoder (HSSAE) Model for Predicting Type 2 Diabetes
    Authors: A Abdussamad, H Daud, R Sokkalingam, M Zubair, Iliyas Karim Khan, Z Mahmood
    Year: 2025
    Source: To be published

  • Title: A Mini Review of the State-of-the-Art Development in Oil Recovery Under the Influence of Geometries in Nanoflood
    Authors: M Zafar, H Sakidin, A Hussain, M Sheremet, I Dzulkarnain, R Safdar, …
    Year: 2024
    Source: Journal of Advanced Research in Micro and Nano Engineering, Volume 26 (1), Pages 83-101

  • Title: Exploring K-Means Clustering Efficiency: Accuracy and Computational Time Across Multiple Datasets
    Authors: Iliyas Karim Khan, H Daud, N Zainuddin, R Sokkalingam, A Abdussamad, AS Azad, …
    Year: 2024
    Source: Journal of Advanced Research in Applied Sciences and Engineering Technology

  • Title: Forecasting the Southeast Asian Currencies Against the British Pound Sterling Using Probability Distributions
    Authors: Iliyas Karim Khan, Ahmad Abubakar Suleiman, Hanita Daud, Mahmod Othman, Abdullah …
    Year: 2023
    Source: Data Science Insights, Volume 1 (1), Pages 31-51

  • Title: Addressing Limitations of the K-Means Clustering Algorithm: Outliers, Non-Spherical Data, and Optimal Cluster Selection
    Authors: Iliyas Karim Khan, Abdussamad, Abdul Museeb, Inayat Agha
    Year: 2024
    Citations: 4
    Source: AIMS Mathematics, Volume 9, Pages 25070-25097

 

 

Gurami Tsitsiashvili | Statistics | Differential Equations Pioneer Award

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Prof. Dr. Gurami Tsitsiashvili | Statistics | Differential Equations Pioneer Award

Chief Researcher at Institute of Applied Mathematics Far Eastern Branch of the Russian Academy of Sciences, Russia

Dr. Gurami Shalvovich Tsitsiashvili is a distinguished mathematician specializing in applied mathematics, stochastic models, and stability analysis. With over 50 years of research experience at the Institute of Applied Mathematics, Far Eastern Branch of the Russian Academy of Sciences, he has made significant contributions to the mathematical modeling of complex systems. His research focuses on queueing theory, Markov chains, decomposition methods, and the construction of Lyapunov functions for stability analysis—key areas closely linked to differential equations. He has authored more than 180 publications, including influential monographs, and has served as a professor since 1992, mentoring generations of mathematicians. His interdisciplinary work extends to applications in heat transfer, epidemic modeling, and biorhythm analysis. While his contributions to applied differential equations are profound, a stronger focus on fundamental theoretical advancements in differential equations would further enhance his recognition. His expertise, leadership, and research impact make him a strong candidate for the Differential Equations Pioneer Award.

Professional Profile 

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Education

Dr. Gurami Shalvovich Tsitsiashvili holds a strong academic foundation in mathematics and physics. He earned his Master of Science (M.Sc.) degree from the prestigious Moscow Physico-Technical Institute in 1972. He further pursued advanced studies at the Far Eastern Branch of the USSR Academy of Sciences, obtaining his Ph.D. in Mathematics and Physics in 1976. His doctoral research focused on stability analysis, laying the groundwork for his expertise in stochastic systems. In 1993, he achieved a Doctor of Science (Dr. Sci.) degree with a thesis on decomposition analysis of complex systems, a significant milestone in his academic career. His extensive education in applied mathematics, theoretical physics, and system analysis has equipped him with the necessary skills to tackle complex mathematical problems, particularly in differential equations, queueing theory, and stochastic modeling. His academic journey has positioned him as a leading researcher in the field, contributing extensively to mathematical sciences.

Professional Experience

Dr. Tsitsiashvili has dedicated his career to the Institute of Applied Mathematics, Far Eastern Branch of the Russian Academy of Sciences, where he has worked since 1972. Beginning as a junior researcher, he progressed through various roles, becoming a senior researcher in 1976 and later heading a research laboratory in 1981. His leadership skills and scientific expertise led to his appointment as Vice-Head of the institute on science from 2003 to 2013. Since then, he has continued as the head of a research laboratory and a principal scientific researcher. In addition to his work at the institute, he has been a professor at Far Eastern Technical University since 1992 and at Far Eastern Federal University since 1996, where he has mentored numerous students. His long-standing academic and research career has significantly contributed to applied mathematics, particularly in stability analysis, stochastic processes, and decomposition methods.

Research Interest

Dr. Tsitsiashvili’s research interests span applied mathematics, stochastic processes, and complex system modeling. His primary focus is on queueing theory, Markov chains, stability analysis, and decomposition methods, all of which have strong applications in differential equations. He has extensively studied the stability of multi-channel queueing systems, Lyapunov function construction, and cooperative effects in stochastic models. His interdisciplinary approach extends to applications in heat transfer, epidemic modeling, and biorhythm analysis. His work in mathematical physics, particularly in transforming epidemic models into random walk problems, showcases his ability to bridge theoretical mathematics with real-world applications. Additionally, his studies on decomposition effects in stochastic systems provide valuable insights into system optimization. While his expertise in applied differential equations is substantial, a deeper engagement in fundamental theoretical developments in the field could further solidify his impact. His contributions continue to shape mathematical modeling and its applications across various scientific domains.

Awards and Honors

Dr. Tsitsiashvili’s contributions to applied mathematics and stochastic modeling have earned him widespread recognition. While specific awards and honors are not explicitly listed in his curriculum vitae, his longstanding leadership roles and extensive publication record underscore his influence in the field. His appointment as the head of a research laboratory and Vice-Head of the Institute of Applied Mathematics reflects the recognition of his expertise and contributions by his peers. His role as a professor at Far Eastern Technical University and Far Eastern Federal University further highlights his standing in the academic community. With over 180 publications, including several monographs, he has made significant contributions to mathematical research, particularly in stability analysis and decomposition methods. His recognition is also evident through his extensive collaborations with researchers worldwide. While he has achieved remarkable academic and professional milestones, additional international accolades would further enhance his global impact in the field of differential equations and applied mathematics.

Conclusion

Dr. Tsitsiashvili is a highly accomplished mathematician whose research has significantly advanced applied mathematics, particularly in stochastic modeling, stability analysis, and decomposition methods. His extensive professional experience at the Institute of Applied Mathematics and his academic contributions as a professor demonstrate his dedication to the field. His work on queueing theory, Markov chains, and cooperative effects in stochastic models has influenced various scientific domains, including physics, biology, and engineering. While his research has strong connections to differential equations, a greater focus on fundamental theoretical advancements in this area could further strengthen his case for the Differential Equations Pioneer Award. His leadership, extensive publication record, and interdisciplinary research make him a strong candidate for recognition. His contributions have not only advanced mathematical theory but also provided practical applications in real-world problems, cementing his legacy as a distinguished researcher in applied mathematics.

Publications Top Noted

  • Title: Assessment of the Effect of Regional Climate Conditions on the Abundance of the Pink Salmon, Oncorhynchus gorbuscha (Walbaum, 1792) (Salmonidae), in the Sea of Japan in 1980–2023
    Authors: T.A. Shatilina, G.S. Tsitsiashvili, M.A. Osipova, T.V. Radchenkova
    Year: 2024
    Source: Russian Journal of Marine Biology

  • Title: Determination of Stability and Reliability of Shortest Paths in a Graph through Lists of Labels in Dijkstra’s Algorithm
    Authors: G.S. Tsitsiashvili
    Year: 2024
    Source: Reliability: Theory and Applications

  • Title: Networks Based on Graphs of Transient Intensities and Product Theorems in Their Modelling
    Authors: G.S. Tsitsiashvili
    Year: 2024
    Source: Computation

  • Title: Algorithms for Approximating a Function Based on Inaccurate Observations
    Authors: G.S. Tsitsiashvili, M.A. Osipova
    Year: 2024
    Source: Reliability: Theory and Applications

  • Title: Limit Cycles of Length Two in the Rikker Model and Their Application in Fishing
    Authors: G.S. Tsitsiashvili, T.A. Shatilina, M.A. Osipova, T.V. Radchenkova
    Year: 2024
    Citations: 1
    Source: Reliability: Theory and Applications

  • Title: Controlled Queuing Systems with a Stationary Uniform Distribution
    Authors: G.S. Tsitsiashvili, Y.N. Kharchenko
    Year: 2024
    Source: Vestnik Tomskogo Gosudarstvennogo Universiteta – Upravlenie, Vychislitel’naya Tekhnika i Informatika

  • Title: Graph Algorithms for Calculating the Distribution of the Amur Tiger Tracks in Primorsky Krai
    Authors: G.S. Tsitsiashvili, V. Bocharnikov, S.M. Krasnopeyev, M.A. Osipova
    Year: 2024
    Source: Theoretical and Applied Ecology

  • Title: Statistical Evaluation of Input Flow Intensity in the Presence of an Interfering Parameter
    Authors: G.S. Tsitsiashvili
    Year: 2024
    Source: Conference Paper (No source information available)

  • Title: Formation of Large Anomalies in the Thermal Conditions of Waters on the Western and Eastern Shelf of the Sakhalin Island
    Authors: T.A. Shatilina, V.V. Moroz, G.S. Tsitsiashvili, T.V. Radchenkova
    Year: 2024
    Source: Physical Oceanography

  • Title: Fast Method for Estimating the Parameters of Partial Differential Equations from Inaccurate Observations
    Authors: G.S. Tsitsiashvili, A.I. Gudimenko, M.A. Osipova
    Year: 2023
    Source: Mathematics (Open Access)

 

Mohammed Hussein | Applied Mathematics | Best Researcher Award

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Prof. Mohammed Hussein | Applied Mathematics | Best Researcher Award

Academia at University of Baghdad, Iran

Dr. Mohammed Sabah Hussein is a distinguished Professor of Applied Mathematics at the University of Baghdad, College of Science, with a Ph.D. from the University of Leeds. With 18 years of teaching and research experience, his expertise spans inverse problems for heat equations, numerical analysis, fluid dynamics, and mathematical modeling. He has made significant contributions to academia, mentoring postgraduate students and serving in leadership roles, including Head of the Mathematics Department. Dr. Hussein has an impressive publication record in high-impact journals and actively participates in international research collaborations. His academic reputation is reflected in his H-index rankings across Google Scholar, Scopus, and Clarivate. As a member of several professional societies and editorial boards, he is dedicated to advancing applied mathematics. His technical proficiency in MATLAB, Mathematica, and LaTeX, coupled with his extensive research on solving complex mathematical problems, makes him a leading figure in his field.

Professional Profile 

Google Scholar
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Education

Dr. Mohammed Sabah Hussein earned his Ph.D. in Applied Mathematics from the University of Leeds, where he specialized in inverse problems for heat equations and numerical analysis. Prior to that, he obtained his Master’s and Bachelor’s degrees in Mathematics from the University of Baghdad, demonstrating early excellence in mathematical modeling and computational techniques. His academic journey has been marked by a strong foundation in mathematical theories, which he later expanded through advanced research in applied mathematics and fluid dynamics. Throughout his education, Dr. Hussein actively engaged in research projects that enhanced his expertise in solving complex mathematical problems, particularly in heat transfer and differential equations. His exposure to international academic environments enriched his analytical skills and deepened his understanding of mathematical applications in real-world scenarios. His educational background continues to influence his teaching and research, enabling him to contribute significantly to mathematical sciences and mentor future scholars in applied mathematics.

Professional Experience

Dr. Mohammed Sabah Hussein is a Professor of Applied Mathematics at the University of Baghdad, College of Science, with 18 years of experience in teaching and research. He has held several academic leadership roles, including serving as Head of the Mathematics Department, where he played a crucial role in curriculum development and faculty mentoring. Over the years, he has supervised numerous postgraduate students, guiding them in advanced mathematical research. Dr. Hussein has collaborated with international institutions on cutting-edge research projects in applied mathematics, enhancing interdisciplinary studies. He has also served as a reviewer and editorial board member for prestigious mathematical journals, contributing to the peer-review process. His expertise in numerical methods, fluid dynamics, and inverse problems has led him to participate in global awards and workshops, where he shares his insights with the academic community. His commitment to research and education solidifies his standing as a leading mathematician.

Research Interest

Dr. Mohammed Sabah Hussein’s research focuses on inverse problems for heat equations, numerical analysis, fluid dynamics, and mathematical modeling. He specializes in solving complex differential equations that arise in real-world applications, particularly in heat transfer and fluid mechanics. His work extends to computational techniques using MATLAB and Mathematica, where he develops algorithms for accurate numerical solutions. Dr. Hussein is also interested in optimization methods and their applications in engineering and physical sciences. His research has contributed to advancements in thermal analysis and industrial processes, demonstrating the practical impact of applied mathematics. Additionally, he collaborates on interdisciplinary projects that integrate mathematics with physics and engineering, broadening the scope of mathematical applications. His publications in high-impact journals reflect his dedication to innovative mathematical research, and his continued exploration of numerical simulations and mathematical modeling ensures his contributions remain at the forefront of applied mathematics advancements.

Awards and Honors

Dr. Mohammed Sabah Hussein has received several prestigious awards and honors for his outstanding contributions to applied mathematics. His research excellence has been recognized with accolades from national and international academic institutions. He has been honored for his high-impact publications and has received grants for his work in mathematical modeling and numerical analysis. Dr. Hussein’s influence in academia is further demonstrated by his strong citation record and H-index rankings in Google Scholar, Scopus, and Clarivate. He has been invited as a keynote speaker at global awards and has received recognition for his mentorship of postgraduate students. His role in advancing mathematical sciences has been acknowledged through memberships in esteemed mathematical societies and editorial boards of reputed journals. These honors reflect his dedication to academic excellence and his influence on the broader mathematical research community.

Conclusion

Dr. Mohammed Sabah Hussein is a highly respected mathematician whose expertise in applied mathematics has significantly impacted academia and research. With a strong educational background and extensive professional experience, he has contributed to solving complex mathematical problems through advanced numerical analysis and modeling. His dedication to mentoring students, publishing high-impact research, and collaborating internationally highlights his commitment to the mathematical sciences. His awards and honors reflect his scholarly influence and contributions to mathematical research. As a professor, researcher, and mentor, Dr. Hussein continues to advance applied mathematics, ensuring its relevance in solving real-world challenges. His work in inverse problems, fluid dynamics, and computational methods cements his reputation as a leader in the field. Through his academic and research endeavors, he remains dedicated to pushing the boundaries of mathematical knowledge and inspiring future generations of mathematicians.

Publications Top Noted

1. Simultaneous determination of time-dependent coefficients in the heat equation

Authors: M. S. Hussein, D. Lesnic, M. I. Ivanchov
Year: 2014
Citations: 61
Source: Computers & Mathematics with Applications, 67(5), 1065-1091

2. An inverse problem of finding the time‐dependent diffusion coefficient from an integral condition

Authors: M. S. Hussein, D. Lesnic, M. I. Ismailov
Year: 2016
Citations: 49
Source: Mathematical Methods in the Applied Sciences, 39(5), 963-980

3. Reconstruction of time-dependent coefficients from heat moments

Authors: M. J. Huntul, D. Lesnic, M. S. Hussein
Year: 2017
Citations: 45
Source: Applied Mathematics and Computation, 301, 233-253

4. Simultaneous determination of time and space-dependent coefficients in a parabolic equation

Authors: M. S. Hussein, D. Lesnic
Year: 2016
Citations: 38
Source: Communications in Nonlinear Science and Numerical Simulation, 33, 194-217

5. Multiple time-dependent coefficient identification thermal problems with a free boundary

Authors: M. S. Hussein, D. Lesnic, M. I. Ivanchov, H. A. Snitko
Year: 2016
Citations: 37
Source: Applied Numerical Mathematics, 99, 24-50

6. Direct and inverse source problems for degenerate parabolic equations

Authors: M. S. Hussein, D. Lesnic, V. L. Kamynin, A. B. Kostin
Year: 2020
Citations: 35
Source: Journal of Inverse and Ill-Posed Problems, 28(3), 425-448

7. Simultaneous determination of time-dependent coefficients and heat source

Authors: M. S. Hussein, D. Lesnic
Year: 2016
Citations: 24
Source: International Journal for Computational Methods in Engineering Science and Mechanics

8. Identification of the time-dependent conductivity of an inhomogeneous diffusive material

Authors: M. S. Hussein, D. Lesnic
Year: 2015
Citations: 24
Source: Applied Mathematics and Computation, 269, 35-58

9. Determination of a time-dependent thermal diffusivity and free boundary in heat conduction

Authors: M. S. Hussein, D. Lesnic
Year: 2014
Citations: 23
Source: International Communications in Heat and Mass Transfer, 53, 154-163

10. Simultaneous Identification of Thermal Conductivity and Heat Source in the Heat Equation

Authors: M. J. Huntul, M. S. Hussein
Year: 2021
Citations: 20
Source: Iraqi Journal of Science, 1968-1978

11. A wavelet-based collocation technique to find the discontinuous heat source in inverse heat conduction problems

Authors: M. Ahsan, W. Lei, M. Ahmad, M. S. Hussein, Z. Uddin
Year: 2022
Citations: 16
Source: Physica Scripta, 97(12), 125208

12. Identification of a multi-dimensional space-dependent heat source from boundary data

Authors: M. S. Hussein, D. Lesnic, B. T. Johansson, A. Hazanee
Year: 2018
Citations: 16
Source: Applied Mathematical Modelling, 54, 202-220

13. Free boundary determination in nonlinear diffusion

Authors: M. S. Hussein, D. Lesnic, M. Ivanchov
Year: 2013
Citations: 16
Source: East Asian Journal on Applied Mathematics, 3(4), 295-310

14. Retrieval of Timewise Coefficients in the Heat Equation from Nonlocal Overdetermination Conditions

Authors: F. Anwer, M. S. Hussein
Year: 2022
Citations: 15
Source: Iraqi Journal of Science, 1184-1199

15. Numerical Solution to Recover Time-dependent Coefficient and Free Boundary from Nonlocal and Stefan Type Overdetermination Conditions in Heat Equation

Authors: M. Qassim, M. S. Hussein
Year: 2021
Citations: 15
Source: Iraqi Journal of Science, 62(3), 950-960

16. Determination of time-dependent coefficient in time fractional heat equation

Authors: Q. W. Ibraheem, M. S. Hussein
Year: 2023
Citations: 14
Source: Partial Differential Equations in Applied Mathematics, 7, 100492

17. Splitting the One-Dimensional Wave Equation, Part II: Additional Data are Given by an End Displacement Measurement

Authors: S. O. Hussein, M. S. Hussein
Year: 2021
Citations: 13
Source: Iraqi Journal of Science, 62(1), 233-239

18. Numerical Solution for Two-Sided Stefan Problem

Authors: M. S. Hussein, Z. Adil
Year: 2020
Citations: 12
Source: Iraqi Journal of Science, 61(2), 444-452