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.

Dr. Haotian ma | Data Center | Best Researcher Award

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Dr. Haotian ma | Data Center | Best Researcher Award

North China Electric Power University | China

Author Profile 

ORCID

Summary

Haotian ma, a phd researcher at north china electric power university, has built a strong academic and professional foundation in the field of collaborative optimization between data centers and power grids. his research addresses critical challenges such as carbon emissions, water constraints, and computational efficiency, as seen in his notable publication in the international journal of electrical power and energy systems. supported by national-level funding, he has successfully integrated low-carbon and water-saving models into real-world risk assessment frameworks. by promoting cross-disciplinary cooperation, his work also contributes to newcomer socialization in energy and data infrastructure research, encouraging inclusivity and innovation in the field.

Early academic pursuits

Haotian ma began his academic journey at north china electric power university, where he completed both his bachelor's and master's degrees with distinction. his educational foundation laid a strong emphasis on energy systems and power grid optimization, preparing him for advanced interdisciplinary research. his consistent academic excellence and curiosity in sustainable systems inspired him to pursue a phd at the same institution, focusing on data center and power grid collaboration.

Professional endeavors

As a dedicated phd researcher, haotian ma has been actively involved in several key national and institutional research initiatives. he has contributed significantly to the national natural science foundation of china. his role in these projects has involved modeling, simulation, and optimization in energy systems, especially where power infrastructure interacts with digital technologies like data centers. these roles have strengthened his expertise in systems engineering, collaborative optimization, and low-carbon innovations.

Contributions and research focus

Haotian ma's research is centered on the collaborative optimization and planning of data centers and power grids, with a strong emphasis on sustainability. his recent work, titled “a risk-averse optimal dispatch scheme for data centers considering carbon emission and water constraints based on enhanced admm”, was published in the prestigious international journal of electrical power and energy systems (volume 171, 2025). this work addresses the critical challenge of slow computation in joint planning, introducing risk-assessment models that incorporate temperature fluctuations, load uncertainties, and low-carbon operation. he aims to enhance economic performance and resource efficiency under uncertainty.

Impact and influence

Through his innovative approaches, haotian ma is contributing to the greening of digital infrastructure by aligning data center operations with energy grid management. his optimization methods not only improve computational efficiency but also integrate environmental constraints, promoting low-carbon and water-saving operations. this work has implications for both academia and industry, offering scalable solutions in smart energy planning. additionally, his research fosters the concept of newcomer socialization, as it brings together cross-disciplinary fields such as computer science, energy management, and environmental engineering—supporting fresh perspectives and collaborative learning in energy systems.

Academic cites

His research article has gained scholarly recognition and is expected to influence future risk-based energy optimization models. co-authored with bo zeng and shengyi wang, this publication reflects rigorous methodological development and practical significance. it is anticipated to receive strong citation activity within power systems engineering, data infrastructure planning, and sustainable technology fields. the article contributes to a growing body of literature that embraces newcomer socialization, where new researchers are welcomed into complex, impactful research through accessible yet innovative frameworks.

Legacy and future contributions

Looking ahead, haotian ma aims to expand his research into real-time adaptive optimization for carbon-neutral data centers, integrating machine learning with traditional energy models. he envisions contributing to policy formation, advising on best practices for eco-friendly digital infrastructure. as he progresses in academia, he also supports newcomer socialization by mentoring young scholars and fostering interdisciplinary dialogue. his long-term legacy lies in bridging environmental sustainability and technological advancement in energy systems.

Publications 

Title: A risk-averse optimal dispatch scheme for data centers considering carbon emission and water constraints based on enhanced ADMM
Author(s): Haotian Ma, Bo Zeng, Jiayu Wang, Shengyi Wang, Chen Liang, Jiayi Zhang
Journal: International Journal of Electrical Power & Energy Systems

Title: Adjustable Load Forecasting Method Based on Endemical Mode Decomposition with Bidirectional Long Short-Term Memory
Author(s): Dan Lu, Hongyan Zhang, Ping Zhang, Han Fu, Pan Luo, Haotian Ma
Journal: 2023 International Conference on Smart Electrical Grid and Renewable Energy (SEGRE)

Title: Assessing the Impact of Demand Response on Renewable Energy Exploitation in Smart Grids with Multi-dimensional Uncertainties
Author(s): Dan Lu, Ping Zhang, Hongyan Zhang, Han Fu, Pan Luo, Haotian Ma
Journal: 2023 IEEE International Conference on Power Science and Technology (ICPST)

Conclusion

Haotian ma's contributions are paving the way for sustainable and intelligent energy systems that align with global environmental goals. his ability to address uncertainty and integrate environmental priorities into power system planning highlights his forward-thinking approach. as he continues to explore advanced methodologies, haotian is poised to leave a lasting impact on both academia and industry. furthermore, his emphasis on collaboration and mentoring fosters newcomer socialization, ensuring that future generations of researchers can build on his work with confidence and creativity.

Prof. Xinxiao Li –  Big Data Technologies – Best Researcher Award 

Published on by Innovator Awards

Prof. Xinxiao Li -  Big Data Technologies - Best Researcher Award 

Shonan Institute of Technology - Japan

Author Profile 

SCOPUS 

ORCID 

🎓 Early academic pursuits

Prof. Xinxiao Li’s academic journey began with a strong foundation in biomedical engineering and medical devices at chongqing university, where he earned his b.eng. his passion for technology and innovation led him to pursue an m.eng. in electronic physics at xi'an jiaotong university, further refining his expertise in control systems and computational methodologies. he continued his academic pursuit with a ph.d. in control science and engineering at xi'an jiaotong university, focusing on advanced control theories and digital systems. his rigorous education laid the groundwork for his remarkable contributions to software engineering and digital innovation.

🚀 Professional endeavors

with a distinguished career spanning both academia and industry, prof. li has held pivotal roles at prestigious institutions and global corporations. he began his professional journey as an assistant professor at xi'an jiaotong university, where he quickly advanced to associate professor, contributing to cutting-edge research in control systems. transitioning to japan, he served as a visiting researcher at keio university, where he expanded his expertise in software and information systems. his industrial career flourished at sony emcs corporation, followed by a long tenure at toshiba corporation, where he held key positions such as principal researcher, senior specialist, chief researcher, and expert at the digital innovation center. his work at toshiba played a crucial role in advancing digital transformation, software engineering, and human-in-the-loop systems.

🤖 Contributions and research focus

prof. Li’s research is at the forefront of software engineering, information visualization, and human-computer interaction. he has significantly contributed to the development of user-friendly Big Data Technologies interfaces, augmented reality applications, and intelligent image processing techniques. his work integrates human-in-the-loop systems, ensuring seamless interaction between technology and users. his innovative approach has driven advancements in digital solutions for industrial applications, medical systems, and consumer technology. his interdisciplinary expertise bridges the gap between engineering, artificial intelligence, and user experience, making his research highly impactful across multiple domains.

🏆 Accolades and recognition

throughout his career, prof. li has been recognized for his pioneering work in digital innovation. his research contributions have been published in prestigious journals and presented at Big Data Technologies international conferences, solidifying his reputation as a thought leader in software engineering. his tenure at toshiba corporation saw him lead multiple groundbreaking projects, earning him industry-wide recognition for his expertise in digital transformation and user interface design. his academic contributions at xi'an jiaotong university and keio university have also garnered respect, influencing new generations of researchers and engineers.

👨‍💻 Impact and influence

Prof. Li’s influence extends beyond academia and corporate research labs; his work has had a lasting impact on the technological landscape. his advancements in information visualization and image processing have been integrated into various industrial applications, improving operational efficiency and user experience. his leadership in software development and augmented Big Data Technologies reality has paved the way for innovative applications in both enterprise and consumer markets. through his collaborations with leading institutions and corporations, he has played a key role in shaping the future of digital systems and interactive technologies.

🌍 Legacy and future contributions

As a visionary in software engineering and digital systems, prof. li’s legacy is defined by his commitment to technological advancement and knowledge dissemination. his work has set new standards in user interface design, human-in-the-loop systems, and software engineering methodologies. looking ahead, he continues to explore emerging technologies, driving innovations in artificial intelligence, augmented reality, and interactive digital environments. his mentorship of students and researchers ensures that his impact will continue to shape the future of software engineering, fostering a new era of intelligent and user-centric digital solutions.

Notable Publication 

  • Title: Integrated visualization with controllable deep linking for distributed datasets
    Author(s): Li, X.; Kuroda, A.
    Journal: ACM International Conference Proceeding Series

  • Title: International Conference on Visual Computing (ICVC 99)
    Author(s): Xinxiao Li
    Journal: International Conference on Visual Computing

  • Title: Polyspector™: An interactive visualization platform optimized for visual analysis of big data
    Author(s): Li, X.; Kuroda, A.; Matsuzaki, H.
    Journal: UIST 2016 Adjunct - Proceedings of the 29th Annual Symposium on User Interface Software and Technology

  • Title: Advanced aggregate computation for large data visualization
    Author(s): Li, X.; Kuroda, A.; Matsuzaki, H.; Nakajima, N.
    Journal: IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings

  • Title: Distributed aggregate computation between server and client for interactive visualization
    Author(s): Li, X.; Kuroda, A.; Matsuzaki, H.; Nakajima, N.
    Journal: IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings