Zhejiang A&F University | China

Dr. Tongcun Liu is an Associate Professor at Zhejiang A & F University, specializing in computer science and technology with a strong focus on big data analytics and artificial intelligence. He earned his Ph.D. from the Beijing University of Posts and Telecommunications and later enhanced his academic experience as a Visiting Scholar at the Hong Kong University of Science and Technology. His research primarily revolves around advanced algorithms for graph computing, recommendation systems, and AI4Science, contributing significantly to the intersection of data intelligence and computational innovation. Dr. Liu leads multiple research projects funded by the National Natural Science Foundation of China and the Zhejiang Provincial Natural Science Foundation. His current and completed projects include the development of data-driven models for estimating mangrove soil dissolved organic carbon sequestration potential and the creation of cloud-edge collaborative recommendation systems based on session flow methods. With a robust publication record of more than 30 papers in esteemed international journals and conferences, his scholarly work has had a substantial impact on the field of artificial intelligence and data-driven computing. In addition to his academic achievements, Dr. Liu holds over 10 granted patents from more than 20 applications, reflecting his strong commitment to technological innovation and the advancement of AI-based computational methodologies.

Profile : Google Scholar

Featured Publications

Feng, H., Qiu, J., Wen, L., Zhang, J., Yang, J., Lyu, Z., Liu, T., & Fang, K. (2025). U3UNet: An accurate and reliable segmentation model for forest fire monitoring based on UAV vision. Neural Networks, 185, 107207.

Fang, K., Deng, J., Dong, C., Naseem, U., Liu, T., Feng, H., & Wang, W. (2025). MoCFL: Mobile Cluster Federated Learning Framework for Highly Dynamic Network. Proceedings of the ACM on Web Conference 2025, 5065–5074.

Liu, T., Yu, G., Kwok, H. Y., Xue, R., He, D., & Liang, W. (2025). Enhancing tree-based machine learning for chlorophyll-a prediction in coastal seawater through spatiotemporal feature integration. Marine Environmental Research, 107170.

Shi, Q., Wang, Y., Liu, T., Zhang, L., & Liao, J. (2024). STRL: Writer-Independent Offline Signature Verification with Transformers and Self-Supervised Representation Learning. 2024 10th International Conference on Computer and Communications (ICCC).

Liu, T., Bao, X., Zhang, J., Fang, K., & Feng, H. (n.d.). Enhancing session-based recommendation with multi-interest hyperbolic representation networks. IEEE Transactions on Neural Networks and Learning Systems.

George kotsompolis | Econometrics | Best Researcher Award

Posted on 09/09/202509/09/2025 by Innovator Awards

Mr. George kotsompolis | Econometrics | Best Researcher Award

National Technical University of Athens | Greece

Author Profile

Scopus

Orcid

Summary

George kotsompolis has built a strong academic foundation through his studies at the national technical university of athens, specializing in mathematical modeling, econometrics, and energy economics. his early academic pursuits focused on financial market dynamics, while his later research extended into forecasting, carbon pricing, and policy-oriented projects. through professional endeavors at universities and research institutions, he has demonstrated the ability to combine rigorous mathematics with real-world economic and energy challenges. his contributions, supported by published and forthcoming works, highlight his innovation and collaborative spirit. importantly, his active participation in academic teams reflects his role in facilitating newcomer socialization in the research community.

Early academic pursuits

George Kotsompolis began his academic journey at the national technical university of athens, where he pursued a diploma (meng) in applied mathematical & physical sciences. with a strong foundation in mathematical analysis, statistics, and computational methods, he demonstrated early promise in bridging theory with applied research. his diploma thesis, focused on economic dynamics and spillover effects in east asian financial markets using a novel markov-switching regime gvar model, showcased his ability to integrate mathematics with economics. these early academic pursuits established the basis for his later engagement with mathematical modeling, econometrics, and energy economics, while also laying the groundwork for his role in newcomer socialization within academic research environments.

Professional endeavors

Throughout his career, kotsompolis has expanded his expertise beyond the classroom into practical research. after completing his msc in mathematical modeling in modern technologies & financial engineering with distinction, he continued as a phd candidate at the national technical university of athens. he gained research experience at the athens university of economics and business under associate prof. dr. petros varthalitis, working on intangible leaders and laggards in the european union and eurozone. in parallel, he contributed to projects linking the labour and output gap to inflation, as well as serving as an intern at the national observatory of athens. these professional endeavors highlight his engagement with economic modeling, forecasting, and evidence-based policy analysis, key areas where he also supported the process of newcomer socialization for junior peers.

Contributions and research focus

Kotsompolis has contributed significantly to the fields of econometrics, time series analysis, and energy & environmental economics. his research includes developing and applying advanced mathematical methods to financial and energy markets. his works in progress, including introducing the markov switching regime global var model (msr-gvar): theory and evidence and forecasting carbon prices with arimax, xgboost, and lstm: a hybrid approach, reflect his commitment to methodological innovation. the key contributions of his research focus not only on advancing theoretical models but also on addressing real-world challenges in energy economics and forecasting under uncertainty. his innovative approaches to modeling place him in a unique position to foster newcomer socialization into multidisciplinary economic research.

Impact and influence

The impact of kotsompolis’ work extends across academia and policy-making. by combining econometric tools with machine learning techniques, he provides actionable insights into financial and energy markets. his research on carbon price forecasting and global economic spillovers holds implications for sustainable energy policy and financial stability. beyond academic citations, his influence is marked by his role in collaborative research teams, mentorship, and the encouragement of open dialogue among peers. his recognition through state scholarships foundation awards also reflects his growing reputation and the broader influence of his scholarly contributions.

Academic cites

Academic cites of his research demonstrate the relevance of his methodological innovations. his forthcoming publications in journals such as or spectrum and the journal of forecasting highlight his entry into reputable international outlets. these cites will serve as reference points for future research in mathematical modeling, econometrics, and energy economics. they not only validate his contributions but also reinforce his academic presence within the global research community.

Legacy and future contributions

The legacy of george kotsompolis lies in his dedication to bridging mathematics, economics, and energy studies. his work creates pathways for integrating classical econometric models with modern computational techniques. looking forward, his future contributions are expected to deepen understanding of financial markets, carbon pricing, and the role of energy economics in sustainable development. by inspiring peers and supporting research networks, he ensures continuity of knowledge transfer. as a rising scholar, his ongoing projects, combined with his emphasis on newcomer socialization, mark him as a promising academic leader shaping the future of applied economics.

Publications

Title: Climate change economics and the determinants of carbon emissions’ futures returns: A regime-driven ARDL model
Author(s): Georgios Kotsompolis, K.N. Konstantakis, P. Xidonas, P.G. Michaelides, D.D. Thomakos
Journal: Finance Research Letters, 2023

Conclusion

in conclusion, george kotsompolis represents a new generation of scholars who merge mathematical rigor with applied economic insights. his academic cites and forthcoming publications in respected journals underscore the significance of his research, while his impact and influence extend toward evidence-based policy and interdisciplinary collaboration. with a legacy rooted in innovation and a vision for sustainable economic and energy solutions, he is poised to make enduring contributions to global scholarship. his commitment to research excellence, mentorship, and newcomer socialization ensures that his work will resonate across academic and professional spheres well into the future.

Mr. Syed Asghar Ali shah – Statistics – Best Researcher Award

Posted on 17/04/202517/04/2025 by Innovator Awards

Mr. Syed Asghar Ali shah - Statistics - Best Researcher Award

University of Peshawar - Pakistan

Author Profile

SCOPUS

🎓 Early academic pursuits

Syed Asghar Ali shah began his academic journey with a solid foundation in the sciences. after completing his s.s.c in 1998 with distinction in science, he pursued pre-engineering at the intermediate level. he later enrolled in b.sc with majors in statistics, mathematics-a, and physics from the university of peshawar in 2002. his passion for statistical sciences became evident when he completed m.sc in statistics (2005) and m.sc in economics (2022), both from the university of peshawar. further expanding his academic repertoire, he completed his ms in statistics with a cgpa of 3.38 from bku charsadda in 2018. currently, he is pursuing his ph.d. in statistics from the university of peshawar. throughout his educational journey, he maintained consistent academic excellence, which laid the groundwork for a multifaceted career.

🧑‍💼 Professional endeavors

Syed Asghar Ali shah holds the position of additional statistician/technical officer at the cereal crop research institute, pirsabak, nowshera. he began his professional journey as a lecturer in statistics in 2004 and has since held significant roles including assistant statistician at the agricultural research institute, tarnab. over the years, he also served in the federal bureau of statistics and contributed to islamabad model college for boys, h-9, as a lecturer. since december 2019, he has been instrumental in providing statistical and technical expertise for agricultural research. his career path reflects a progressive and dedicated commitment to agricultural statistics and experimental research.

📊 Contributions and research focus

Shah has played a pivotal role in designing experiments and conducting data analysis for agricultural scientists. one of his core research works during his ms program focused on “trends, variability and forecasting of major fruit crops production in khyber pakhtunkhwa.” his role as a focal person in the project “strengthening agriculture research activities and modeling Statistics experimentation of row crops” exemplifies his analytical strengths. this project involved complex data modeling that is closely aligned with the data-intensive approaches used in power electronics systems for process optimization. additionally, he has contributed to research-based reporting by preparing annual statistical reports at his institute.

🌐 Impact and influence

Shah’s influence extends beyond his department, as he has provided advisory services to researchers and students from various institutions, including agricultural universities. his mentorship Statistics and technical support in data analytics have significantly impacted agricultural productivity models. his interdisciplinary exposure—blending statistics, economics, and agricultural sciences—has enhanced the decision-making process in experimental design, similar to how power electronics integrates cross-functional knowledge to control energy flow efficiently.

🏅 Academic cites and achievements

He has been involved in multiple national-level training programs and workshops such as those hosted by parc, pakistan academy for rural development, and the university of agriculture faisalabad. he has actively participated and led sessions on quantitative research, social research methodology, and statistical analysis. his teaching experience at the graduate and Statistics postgraduate level further demonstrates his commitment to academic excellence and knowledge transfer. his thesis work in both statistics and education are also noteworthy academic contributions.

🔬 Legacy and future contributions

Shah’s career is marked by a continuous evolution in research and statistical applications. his current pursuit of a ph.d. highlights his dedication to academic growth and innovation in applied statistics. moving forward, he is poised to contribute further in areas such as data modeling, research methodology, and interdisciplinary analytics—especially in emerging fields where statistics meet technologies like power electronics in smart agricultural systems. he aims to foster a more integrated approach in statistical research for sustainable agricultural development.

Notable Publications

Title: Optimal model for predicting highest runs chase outcomes in T-20 international cricket using modern classification algorithms
Author(s): Syed Asghar Ali Shah, Qamruz Zaman, Danish Wasim, Abdulmajeed Atiah Alharbi, Maha Shabbir
Journal: AEJ - Alexandria Engineering Journal, 2025

Assist. Prof. Dr Shahid Hussain – Computational Mathematics – Best Researcher Award

Posted on 24/12/202424/12/2024 by Innovator Awards

Assist. Prof. Dr Shahid Hussain - Computational Mathematics - Best Researcher Award

College of mathematics and System Sciences , Xinjiang University Urumqi - China

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ORCID

📘 Early academic pursuits

Dr. Shahid Hussain embarked on his academic journey with a strong foundation in mathematics, earning a bachelor of science in mathematics (honors) from karakoram international university, pakistan. his early passion for numerical analysis and computational techniques was evident as he pursued his ms/m.phil in mathematical modeling and scientific computing from air university, islamabad, where he specialized in numerical solutions of partial differential equations and computational fluid dynamics. this academic trajectory set the stage for his research career in applied mathematics.

🧮 Professional endeavors

Following his academic achievements, dr. hussain pursued a ph.d. in applied mathematics with a focus on finite element methods at east china normal university, shanghai. his professional career is marked by teaching and research roles, where he has made significant contributions to computational mathematics. currently affiliated with xinjiang university, urumqi, china, dr. hussain has demonstrated expertise in magnatohydrodynamics, viscoelastic fluids, and fluid-fluid interaction, contributing to both theoretical and applied advancements in the field.

🔍 Contributions and research focus

Dr. Hussain’s research is centered on developing and applying numerical methods to solve complex problems in computational fluid dynamics and mathematical modeling. his work in finite Computational Mathematics element and finite difference methods has provided insights into the behavior of viscoelastic fluids and fluid interactions under various physical conditions. these contributions have not only advanced understanding in the field but also opened pathways for further exploration in magnatohydrodynamics and fluid mechanics.

🏅 Accolades and recognition

Throughout his career, dr. hussain has been recognized for his commitment to excellence in both teaching and research. his dedication and achievements have positioned him as a respected Computational Mathematics figure in computational mathematics. his ability to foster a collaborative and innovative environment among peers and students has earned him accolades in academic and research settings.

🌟 Impact and influence

Dr. Hussain’s influence extends beyond his immediate research outputs. as an educator, he has mentored students and researchers, instilling in them a passion for problem-solving and critical Computational Mathematics thinking. his collaborative approach and innovative methods have inspired a new generation of mathematicians to pursue challenging and impactful research.

🧭 Legacy and future contributions

With a solid foundation in applied mathematics and a vision for future advancements, dr. hussain aims to continue contributing to the fields of computational mathematics and fluid dynamics. his ongoing research and teaching endeavors promise to leave a lasting legacy, bridging theoretical advancements with real-world applications in science and engineering.

Notable Publications

Stabilization of interconnected models with Nitsche's interface conditions using the two-grid approach: A finite element study
- Authors: Shahid Hussain, Md. Abdullah Al Mahbub, Xinlong Feng, Fateh Ali Rana, Fazal Haq, Arshad Hussain
- Journal: Physics of Fluids
On Fractional Operators Involving the Incomplete Mittag-Leffler Matrix Function and Its Applications
- Authors: Ahmed Bakhet, Shahid Hussain, Mohra Zayed
- Journal: Symmetry
A Linear Stabilized Incompressible Magnetohydrodynamic Problem with Magnetic Pressure
- Authors: Shahid Hussain, Ahmed Bakhet, Ghada AlNemer, Mohammed Zakarya
- Journal: Mathematics
Optimization and sensitivity analysis of heat transfer for Powell–Eyring fluid between rotating rolls with temperature-dependent viscosity: A mathematical modeling approach
- Authors: Fateh Ali, Yanren Hou, Xinlong Feng, J. K. Odeyemi, M. Zahid, Shahid Hussain
- Journal: Physics of Fluids
Entropy optimization in bio-convective chemically reactive flow of micropolar nanomaterial with activation energy and gyrotactic microorganisms
- Authors: Shahid Hussain, Fazal Haq, Hassan Ali Ghazwani, Muzher Saleem, Arshad Hussain
- Journal: Case Studies in Thermal Engineering

Dr. Lamine Mbarki – Stochastic and probability – Best Researcher Award

Posted on 21/10/202421/10/2024 by Innovator Awards

Dr. Lamine Mbarki - Stochastic and probability - Best Researcher Award

University of Tunis El Manar - Tunisia

Author Profile

SCOPUS

Early academic pursuits 🎓

Lamine Mbarki's academic journey began with a strong foundation in mathematics, earning his baccalaureate diploma in 2006. his passion for the subject led him to pursue a diplomate in mathematics and computer sciences from the faculty of sciences of monastir, tunisia, in 2008. he furthered his expertise with a master's degree in mathematics in 2010, followed by a master's of research in harmonic analysis in 2012. his research, supervised by mohamed sifi and dominique bakry, explored markovian operators and hypergroup properties, setting the stage for his ph.d. work. he completed his ph.d. at the faculty of sciences of tunis, focusing on the p(x)-laplacian operator and its associated operators, a significant contribution to the field of differential equations.

Professional endeavors 👨‍🏫

Currently an assistant professor in the mathematics department at the faculty of sciences of tunis, lamine mbarki has been dedicated to academia, imparting knowledge and advancing mathematical research. his teaching and mentorship have influenced many students, particularly in areas such as partial differential equations, fractional calculus, and stochastic analysis. his institutional affiliation with the university of tunis el manar reflects his commitment to academic excellence and research development.

Contributions and research focus 🔬

Dr. Mbarki's research focuses on the mathematical study of partial differential equations, fractional calculus, probability, and dynamical systems. his significant contributions include his work on the hypergroup property and the study of the p(x)-laplacian operator. this research has advanced the understanding of complex mathematical structures and their applications in various scientific fields. his interdisciplinary approach bridges theoretical mathematics with practical applications, Stochastic and probability particularly in stochastic processes and dynamic systems.

Accolades and recognition 🏅

Throughout his academic career, dr. mbarki has received recognition for his pioneering research in mathematics. his collaborations with esteemed supervisors such as dominique bakry and mounir bezzarga have cemented his reputation as a notable researcher in harmonic analysis and operator theory. his work continues to be Stochastic and probability cited and utilized by researchers across the globe, particularly in the areas of partial differential equations and probability theory.

Impact and influence 🌍

Dr. Mbarki’s research has had a wide-reaching impact, particularly in advancing the understanding of complex mathematical systems. his work on fractional calculus and stochastic analysis has applications in physics, engineering, and economics, influencing how mathematical models are employed in real-world scenarios. as a Stochastic and probability teacher and researcher, his contributions have shaped the careers of many students and young researchers, fostering a new generation of mathematical minds.

Legacy and future contributions 🔮

As a dedicated mathematician, dr. mbarki's legacy will be defined by his innovative work in partial differential equations and stochastic processes. his research continues to evolve, and he is expected to contribute further to the fields of fractional calculus and dynamical systems. his future work will likely continue to impact both theoretical mathematics and its applied fields, ensuring that his contributions remain influential for years to come.

Notable Publications

Title: "A degenerate Kirchhoff-type problem involving variable s(·)-order fractional p(·)-Laplacian with weights"
Authors: Allaoui, M., Hamdani, M.K., Mbarki, L.
Journal: Periodica Mathematica Hungarica, 2024, 88(2), pp. 396–411
Title: "Existence and Multiplicity of Solutions for a Class of Kirchhoff–Boussinesq-Type Problems with Logarithmic Growth"
Authors: Carlos, R.D., Mbarki, L., Yang, S.
Journal: Mediterranean Journal of Mathematics, 2024, 21(3), 108
Title: "Existence of Multiple Solution for a Singular p(x)-Laplacian Problem"
Authors: Ghanmi, A., Mbarki, L., Choudhuri, D.
Journal: Complex Analysis and Operator Theory, 2024, 18(2), 26
Title: "Unified approach to nonlinear Caputo fractional derivative boundary value problems: extending the upper and lower solutions method"
Authors: Talib, I., Batool, A., Sousa, J.V.D.C., Lamine, M.
Journal: Journal of Mathematics and Computer Science, 2024, 37(1), pp. 20–31
Title: "Solutions for a Nonlocal Elliptic System with General Growth"
Authors: Mbarki, L., Tavares, L.S., Sousa, J.V.C.
Journal: Complex Analysis and Operator Theory, 2023, 17(8), 134