Tongcun Liu | Graph Learning and Recommender System | Best Researcher Award

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Assoc. Prof. Dr. Tongcun Liu | Graph Learning and Recommender System | Best Researcher Award

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.

Mr. Tariq shah | Big data | Best Researcher Award

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Mr. Tariq shah | Big data | Best Researcher Award

The University of Agriculture Peshawar-Pakistan | Pakistan

Author Profile 

Scopus 

Summary

Tariq shah is a dedicated agricultural scientist with expertise in plant–microbe interactions, soil health, and sustainable crop production. with academic roots in agronomy from the university of agriculture peshawar, he has built a global research career across pakistan, france, china, and the united states. his work spans molecular biology, bioinformatics, and biochemistry, contributing to advancements in drought tolerance, nutrient use efficiency, and heavy metal remediation. through interdisciplinary research, advanced analytical techniques, and active newcomer socialization in diverse scientific environments, tariq has positioned himself as an impactful contributor to global agricultural innovation.

Early academic pursuits

Tariq Shah’s academic journey began with a bachelor of science in agriculture (agronomy) from the university of agriculture peshawar, where he excelled with a final grade  and a thesis focusing on the role of potassium and selenium nutrition in mitigating heat stress in wheat. he further advanced his expertise with a master of science in agriculture (agronomy) from the same institution. his master’s thesis, “unravelling molecular mechanism of plant microbiome interaction: role of root exudates,” marked his early dedication to understanding plant–microbe relationships and paved the way for his future research in plant molecular biology, soil science, and microbial ecology. this phase also nurtured his ability to adapt to multicultural academic environments, a skill that aligns closely with newcomer socialization in research settings.

Professional endeavors

Tariq’s career reflects a global and interdisciplinary trajectory. he served as a university research associate in a joint project between the university of agriculture peshawar and china, focusing on the rhizospheric microbiota of winter wheat. his research expanded during his tenure at inrae, france, where he explored artificial selection of microbial communities to enhance drought tolerance and nitrogen use efficiency. later, as a junior research fellow at nust, he studied cadmium trafficking and communication in the rhizosphere of brassica juncea. his recent role as a visiting intern at kbi biopharma in the united states highlights his versatility, contributing to data analysis, microscopy, and scientific reporting. his career progression also showcases his ability to engage in newcomer socialization across diverse institutional cultures.

Contributions and research focus

Tariq’s contributions span molecular biology, statistics, bioinformatics, and biochemistry. he has developed expertise in dna/rna extraction, gene expression, microbial co-occurrence network analysis, and rhizosphere metabolomics. his research has focused on plant–microbe interactions, stress physiology, nutrient cycling, and sustainable agricultural systems. by integrating tools such as qPCR, LC-MS, confocal microscopy, and microbial community sequencing, he has advanced understanding in soil and plant molecular analysis, antioxidant activity measurement, and synthetic microbial community design. these skills have not only enriched academic knowledge but also supported applied agricultural innovation. his approach reflects how newcomer socialization in scientific communities fosters cross-disciplinary knowledge exchange.

Impact and influence

Tariq’s work has influenced both the scientific and agricultural sectors, contributing to the improvement of crop stress tolerance, nutrient efficiency, and soil health. his projects have addressed pressing global challenges such as climate-induced drought, heavy metal contamination, and sustainable crop production. by collaborating with institutions across pakistan, france, china, and the united states, he has built a network that bridges regional agricultural needs with global research standards.

Academic cites

Tariq’s academic contributions are supported by a strong record of research outputs, with his work cited in studies related to rhizosphere metabolomics, plant molecular interactions, and microbial community analysis. his application of statistical and bioinformatics tools such as R, MATLAB, and metaboanalyst has enhanced the reproducibility and analytical rigor of his research, earning recognition in plant and soil science literature.

Legacy and future contributions

Tariq’s legacy lies in his commitment to integrating advanced molecular tools with field-based agricultural practices to solve real-world problems. his future contributions aim to deepen the understanding of plant–microbe–soil interactions and develop biotechnological solutions for sustainable agriculture. by continuing his international collaborations and expanding into areas like synthetic biology and CRISPR-based applications, he is poised to make lasting impacts in environmental sustainability and food security. his journey reflects a blend of scientific rigor, cultural adaptability, and collaborative spirit, ensuring that his influence will continue to grow in both academic and applied domains.

Publications 

Title: Synthetic bacterial communities regulate polyamine metabolism and genes encoding antioxidant defense system to enhance arsenic tolerance of rice
Author(s): [Not specified in provided text]
Journal: South African Journal of Botany, 2025

Title: Microplastics in Freshwater and Soil: Policy Implementation and Management
Author(s): [Not specified in provided text]
Journal: [Book Chapter]

Title: Veracity of Bioplastic Degradation
Author(s): [Not specified in provided text]
Journal: [Book Chapter]

Title: Minimizing Microplastics: Impacts on Restoring Soil
Author(s): [Not specified in provided text]
Journal: [Book Chapter]

Title: Mitigation of microplastic toxicity in soybean by synthetic bacterial community and arbuscular mycorrhizal fungi interaction: Altering carbohydrate metabolism, hormonal transduction, and genes associated with lipid and protein metabolism
Author(s): [Not specified in provided text]
Journal: Plant Stress, 2024

Conclusion

Tariq shah’s journey reflects a balance of strong academic foundations, international research exposure, and a deep commitment to solving real-world agricultural challenges. his contributions have advanced both theoretical understanding and applied solutions in plant science, particularly in improving crop resilience and soil ecosystems. by continuing to innovate and collaborate globally, and by fostering newcomer socialization in scientific communities, tariq is set to leave a lasting legacy in sustainable agriculture and environmental biotechnology.

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

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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