Guanqun Li | Analytical Chemistry | Young Researcher Award

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Dr. Guanqun Li | Analytical Chemistry |Young Researcher Award

Sinopec Shengli Oilfield Co., Ltd., China

🎓 Early Academic Pursuits

Dr. Guanqun Li embarked on her academic journey with a strong focus on the field of oil and gas development. She earned her Master’s degree in Oil and Gas Field Development Engineering from Yangtze University (Sep. 2016 – June 2019), where she laid the groundwork for her specialization in shale reservoir studies. Building on this foundation, she pursued a Ph.D. in Oil and Gas Field Development Engineering at the China University of Petroleum (East China) from Sep. 2019 to June 2023. Her doctoral studies delved deeply into the microscopic characterization of shale reservoirs and the mechanisms driving fluid movement within these complex formations.

🧑‍🔬 Professional Endeavors

Following her academic training, Dr. Li took on the role of Associate Researcher at Sinopec Shengli Oilfield Co., Ltd., one of China’s major oil and gas enterprises. In this capacity, she contributes to the advancement of reservoir development strategies and applies her academic insights to practical field challenges. Her work involves integrating theoretical research into real-world oilfield operations, particularly within unconventional shale plays.

🔬 Contributions and Research Focus

Dr. Li’s core research centers around the microscopic structure of shale reservoirs and the fluid motion behaviors within them. Her investigations explore the space characterization of shale, revealing how reservoir geometry affects oil and gas recovery. Additionally, she has pioneered studies on liquid/gas and liquid-gas two-phase flow in shale formations. A significant focus of her work lies in shale oil volume fracturing infiltration mechanisms, analyzing how hydraulic fracturing fluids interact with the formation through imbibition kinetics, microscale effects, and boundary condition variances. She also developed a horizontal well productivity model that incorporates the influence of fracturing fluid imbibition, offering new insights into optimizing shale oil recovery.

🌍 Impact and Influence

Dr. Li’s research has a profound impact on the enhancement of shale oil recovery techniques, particularly within unconventional reservoirs. Her work contributes to more efficient and environmentally conscious energy extraction, aligning with global efforts to optimize fossil fuel usage while minimizing geological disturbance. By providing models and frameworks to predict fluid behavior and productivity outcomes, she empowers engineers and decision-makers with tools for better reservoir management.

📊 Academic Citations and Recognition

Although still in the early stages of her professional career, Dr. Li’s research contributions are gaining recognition within academic and industry circles. Her innovative perspectives on imbibition behavior and microscale reservoir dynamics have opened new discussions in the petroleum engineering community. Her academic work is expected to continue gaining traction and citations as her research matures and integrates into mainstream oilfield development practices.

🛠️ Technical Skills

Dr. Li possesses a robust suite of technical skills tailored to oil and gas reservoir analysis. These include microscopic imaging and analysis of shale structures, fluid dynamics simulation, imbibition modeling, and reservoir productivity evaluation. Her proficiency with analytical tools and modeling software enables her to bridge laboratory findings with field applications.

👩‍🏫 Teaching Experience

During her doctoral studies, Dr. Li was actively involved in academic collaborations, likely contributing to mentoring junior students and assisting in research projects within her department. Her ability to translate complex scientific concepts into practical insights makes her an asset not only in research but also in academic mentorship and collaborative innovation.

🌟 Legacy and Future Contributions

Dr. Guanqun Li is poised to leave a lasting legacy in the field of shale oil recovery. Her unique focus on the microscale mechanisms of fracturing fluid behavior contributes to a more nuanced understanding of reservoir engineering. As she continues her career with Sinopec, her work is expected to shape future strategies for enhanced oil recovery (EOR) and sustainable resource development. Her commitment to research, innovation, and field integration ensures that she will remain a key contributor to China’s and the global petroleum industry’s evolution.

📖Notable Publications

Quantifying lithofacies-dependent imbibition behavior in continental shale oil by fractal modeling: A case study of the gentle slope fault zone, Jiyang Depression
Authors: Guanqun Li, Yanxia Peng, Yong Yang, et al.
Journal: Fuel
Year: 2025

The fractal analysis of the forced imbibition process in roughened porous media with slip length
Authors: Guanqun Li, Yong Yang, Xiaopeng Cao, et al.
Journal: Physics of Fluids
Year: 2025

Generalized analytical solutions of imbibition characteristic behavior in shale matrix blocks under different boundary conditions
Authors: Guanqun Li, Yong Yang, Xiaopeng Cao, et al.
Journal: Geoenergy Science and Engineering
Year: 2025

The fractal mathematical models for spontaneous and forced imbibition with different cross-section shapes in shale oil reservoir
Authors: Guanqun Li, Yuliang Su, Wendong Wang
Journal: Fractals
Year: 2023

Mathematical model and application of spontaneous and forced imbibition in shale porous media considered forced pressure and osmosis
Authors: Guanqun Li, Yuliang Su, Wendong Wang, et al.
Journal: Energy & Fuels
Year: 2022

Sarika Jain | Analytical Chemistry | Women Researcher Award -1759

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Dr. Sarika Jain | Analytical Chemistry | Women Researcher Award

Amity University Haryana, India

👨‍🎓Profiles

🎓 Early Academic Pursuits

Sarika Jain’s academic journey is marked by excellence and dedication to the field of mathematics. She completed her Bachelor’s degree in Mathematics (Hons.) from Delhi University in 2005, achieving an outstanding 89% score, which laid the foundation for her higher studies. Her passion for mathematics led her to IIT Delhi, where she pursued a Master’s degree in Mathematics and secured a CGPA of 7.13 in 2007. Determined to contribute to research, she enrolled in a Ph.D. program at IIT Delhi, where she worked on Numerical Modeling of the Impact of Urbanization in the DMIC Region on Surface Air Temperature. She successfully completed her coursework with an impressive CGPA of 9.2, showcasing her strong analytical and research capabilities.

🏢 Professional Endeavors

With 15 years of experience, Sarika Jain has made significant contributions to both academia and industry. Her career spans 13 years in teaching and 2 years in the industry, where she has been involved in research, education, and data analysis. She currently holds the position of Associate Professor at Amity University, Gurugram, a role she has been serving in since June 2023, where she is actively engaged in teaching and research. Previously, she was an Assistant Professor at the same institution from 2012 to 2023, playing a crucial role in academic development and research guidance.

Her teaching career also includes a stint as a Senior Lecturer at IMC, New Delhi (2011-2012) and a Lecturer at WIT, Gurgaon (2009-2010), where she nurtured students in mathematics and computational sciences. Apart from academia, she has industrial experience as an Analyst at MG Mobile Trading Pvt. Ltd., New Delhi (2007-2009), specializing in data analysis and mathematical modeling. She also worked as a Subject Matter Expert at Prometric Testing Pvt. Ltd., Gurgaon (2011), contributing to technical services and assessments.

📚 Research Focus and Contributions

Sarika Jain’s research interests span multiple domains, including Weather Research Forecasting (WRF) Modeling, Statistical Data Analysis, Optimization, Nature-Inspired Algorithms, Machine Learning, Artificial Intelligence, and Soft Computing. Her Ph.D. research focused on analyzing the impact of urbanization on surface air temperature, using numerical modeling techniques to understand environmental changes in urban regions. Given the increasing concerns about climate change and urban expansion, her research provides valuable insights for sustainable urban development.

Her work in nature-inspired optimization algorithms has further applications in solving large-scale computational problems. By integrating mathematical modeling, AI, and statistical analysis, she has contributed to advancements in climate forecasting, machine learning applications, and optimization techniques.

🌍 Impact and Influence

Sarika Jain’s research has been recognized in high-impact journals and international conferences, reinforcing her influence in computational mathematics and artificial intelligence. Her contributions are documented under her Scopus ID (57220831968) and ORCID ID (0000-0002-4795-9556), which highlight the significance of her work.

Her research in climate modeling and AI-driven predictive analysis has practical applications in urban development, environmental sustainability, and smart city planning. Through her work, she has helped develop advanced forecasting models that aid policymakers and industries in making informed decisions regarding climate adaptation and risk assessment.

📊 Academic Citations and Recognitions

Sarika Jain’s research contributions have been widely cited in academic publications and industry reports. Her work in climate forecasting, statistical modeling, and artificial intelligence applications has served as a foundation for future research in these domains. The growing citations of her publications reflect the relevance and impact of her research in the broader scientific community.

🖥️ Technical Skills

Sarika Jain possesses strong technical expertise in applied mathematics and computational techniques. She has advanced proficiency in Weather Research Forecasting (WRF) Modeling, which is crucial for climate simulations and predictive analytics. Her expertise extends to statistical data analysis, artificial intelligence, machine learning, soft computing, and nature-inspired algorithms, enabling her to create efficient mathematical models for solving complex problems. Her ability to integrate computational intelligence with real-world applications has made her research highly impactful.

🎓 Teaching Experience

As an educator, Sarika Jain has dedicated 13 years to mentoring students in mathematics and computational sciences. Her research-driven approach to teaching helps bridge the gap between theory and practical applications. She specializes in applied mathematics, statistical computing, and algorithmic modeling, ensuring that students gain the necessary skills to analyze and solve real-world challenges.

She fosters critical thinking and problem-solving abilities among students, encouraging them to pursue research-based learning. Many of her students have gone on to excel in academia, research, and the tech industry, thanks to her mentorship. Her ability to simplify complex mathematical concepts makes her a respected professor, admired for her teaching methodology and academic leadership.

🔮 Legacy and Future Contributions

Sarika Jain’s contributions to academia, research, and industry continue to grow as she explores new advancements in computational mathematics and artificial intelligence. Moving forward, she aims to:

  • Advance her research in climate forecasting using AI and deep learning.
  • Develop innovative nature-inspired algorithms for large-scale optimization problems.
  • Mentor young researchers and students to contribute to cutting-edge scientific advancements.
  • Establish global collaborations for interdisciplinary research in mathematical modeling.

📖Notable Publications

Divided opposition strategy in particle swarm framework for constrained optimization problem

Authors: Sarika Jain, Rekha Rani, Pradeep Jangir, Seyed Jalaleddin Mousavirad, Ali Wagdy Mohamed

Journal: Results in Control and Optimization

Year: 2025-03

A hybrid Mountain Gazelle particle swarm-based algorithm for constrained optimization problems

Authors: Rekha Rani, Vanita Garg, Sarika Jain, Harish Garg

Journal: Evolving Systems

Year: 2025-02

A review of nature-inspired algorithms on single-objective optimization problems from 2019 to 2023

Authors: Rekha Rani, Sarika Jain, Harish Garg

Journal: Artificial Intelligence Review

Year: 2024-04-24

Diagnostic Efficacy of LAMP Assay for Human Fungal Pathogens: a Systematic Review and Meta-analysis

Authors: Gurvinder Singh Bumbrah, Sarika Jain, Shweta Singh, Zeeshan Fatima, Saif Hameed

Journal: Current Fungal Infection Reports

Year: 2023-09

Efficacy of LAMP assay for Mycobacterial spp. detection to prevent treatment delays and onset of drug resistance: a systematic review and meta-analysis

Authors: Gurvinder Singh Bumbrah, Sarika Jain, Zeeshan Fatima, Saif Hameed

Journal: Drug Target Insights

Year: 2023-06-07

Prediction of temperature for various pressure levels using ANN and multiple linear regression techniques: A case study

Authors: Sarika Jain, Sarita Rathee, Ajay Kumar, Anivel Sambasivam, Rahul Boadh, Tushar Choudhary, Parveen Kumar, Pravin Kumar Singh

Journal: Materials Today: Proceedings

Year: 2022

 

Xinxin Li | Analytical Chemistry | Best Researcher Award

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Prof. Xinxin Li | Analytical Chemistry | Best Researcher Award 

Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China

👨‍🎓Profiles

🎓 Early Academic Pursuits

Prof. Xinxin Li began his academic journey with a B.S. degree from Tsinghua University, one of China's premier institutions, before obtaining his Ph.D. from Fudan University. These foundational years set the stage for his exceptional career, providing a robust background in engineering and research fundamentals.

💼 Professional Endeavors

His career spans multiple prestigious positions: Research Associate at Hong Kong University of Science and Technology, Research Fellow at Nanyang Technological University in Singapore, and Lecturer at Tohoku University, Japan, through the COE Fellowship. Since 2001, he has been a Professor at the Shanghai Institute of Microsystem and Information Technology (SIMIT) at the Chinese Academy of Sciences, where he also served as Director of the State Key Lab of Transducer Technology. Additionally, he holds adjunct professor roles at both Fudan University and Shanghai Tech University, highlighting his influence across multiple leading institutions.

🔬 Contributions and Research Focus

His research interests lie at the intersection of micro/nano sensing and detection technology, MEMS/NEMS technology, and analytical-chemistry instrumentation technology. With more than 200 patents and over 600 publications, his contributions are central to advancements in sensor technology and microsystem design.

🌍 Impact and Influence

Awarded the National Science Fund of China for Distinguished Young Scholar in 2007, Prof. Li’s impact extends across the scientific community. His guidance led to his Ph.D. student earning a place in the National Excellent 100 Ph.D. Dissertations of 2009, underscoring his influence on the next generation of researchers.

📊 Academic Citations

His extensive work has garnered over 10,000 citations, including more than 300 SCI-indexed journal articles. This citation count reflects the high value and relevance of his research to the global scientific and engineering communities.

🛠 Technical Skills

An expert in MEMS/NEMS fabrication, sensor technology, and analytical instrumentation, Prof. Li's technical prowess is evident in his innovations. His 200+ patents showcase his hands-on capabilities and commitment to developing cutting-edge technologies.

👩‍🏫 Teaching Experience

He has shared his expertise as an Adjunct Professor at Fudan University and Shanghai Tech University, demonstrating his dedication to fostering talent and disseminating knowledge in microelectronics and sensing technologies.

🌟 Legacy and Future Contributions

His enduring legacy includes his patents, influential publications, and mentorship roles. Currently, as the Asia/Oceania Regional TPC Chair for the Transducers conference, he continues shaping the field’s future. His ongoing editorial work for top journals further reinforces his role as a thought leader, inspiring future contributions in micro/nano sensing and analytical technologies.

📖Notable Publications