Assoc. Prof. Dr. Ping Li | Engineering | Best Researcher Award

Assoc. Prof. Dr. Ping Li | Engineering | Best Researcher Award

Associate professor, Northwest University, China

Dr. Ping Li is an accomplished Associate Professor in the Department of Geology at Northwest University, Xi’an, China. With a robust academic and research background in geological and civil engineering, she has built her career around unsaturated soil mechanics, soil bioengineering, and soil microstructure analysis. Dr. Li is widely recognized for her extensive contributions to geotechnical research, particularly in the study of loess soils and their behavior under environmental influences. Her collaborative international work, especially during her joint PhD in Canada, reflects her commitment to advancing the understanding of sustainable soil engineering.

Professional Profile

Scopus

🎓 Education Background:

Dr. Ping Li holds a Ph.D. in Geological Engineering from Chang’an University (2013–2016) and a Joint Ph.D. in Civil Engineering from the University of Ottawa, Canada (2014–2016), where she conducted her thesis in English on predicting the wetting-induced collapse of unsaturated soils. She also earned her MSc (2011–2013) and BSc (2007–2011) in Geological Engineering from Chang’an University, graduating with a strong academic record and a GPA of 3.84.

💼 Professional Experience:

Dr. Li currently serves as an Associate Professor and Doctoral Supervisor at Northwest University, a position she has held since January 2023 after working as a Lecturer in the same department from 2017 to 2022. Her teaching responsibilities include courses like Foundation Engineering and Soil Testing Techniques. Throughout her career, she has played principal and collaborative roles in several national and provincial scientific projects focusing on loess deformation, soil stability, and eco-friendly soil improvement techniques.

🏆 Awards and Honors:

While specific awards are not individually listed, Dr. Li has successfully led multiple prestigious projects funded by the National Natural Science Foundation of China, China Postdoctoral Science Foundation, and the Shaanxi Provincial Department of Education, highlighting her respected status in the field and her capacity to secure competitive research grants.

🔬 Research Focus:

Dr. Ping Li’s research revolves around three major themes: soil bioengineering, unsaturated soil mechanics, and soil microstructure. Her work investigates how vegetation roots impact the physical and mechanical properties of compacted loess, how collapse behaviors can be modeled under different wetting scenarios, and how advanced imaging can be used to quantify microstructural changes. She also explores sustainable approaches using biochar and nanomaterials to stabilize loess soils and improve their hydraulic behavior. Her research is both theoretical and application-driven, aiming to enhance infrastructure stability and environmental resilience.

🔚 Conclusion:

Dr. Ping Li stands out as a leading geotechnical researcher with deep expertise in loess soil behavior, sustainability, and microstructural analysis. Her dedication to academic excellence, international collaboration, and real-world problem-solving in soil mechanics has significantly influenced the field. She continues to mentor future geoscientists and push the boundaries of eco-geotechnical engineering.

📚 Top Noted Publications :

  1. Investigating the saturated hydraulic conductivity and its variation of a fine-grained soil with root exudates of Robinia pseudoaccaciaJournal of Rock Mechanics and Geotechnical Engineering, 2025, Accepted.
    Cited by: Pending

  2. Effects of vegetation roots on the structure and hydraulic properties of soils: A perspective reviewScience of The Total Environment, 2024, Vol. 906.
    Cited by: 15+

  3. Influence of biochar on the soil‑water retention behavior of compacted loessJournal of Soils and Sediments, 2024, Vol. 24.
    Cited by: 10+

  4. Effects of molding water content and compaction degree on the microstructure and permeability of compacted loessActa Geotechnica, 2023, Vol. 18.
    Cited by: 25+

  5. Review of chemical stabilizing agents for improving the physical and mechanical properties of loessBulletin of Engineering Geology and the Environment, 2021, Vol. 80.
    Cited by: 40+

  6. Characterizing and modeling the pore-size distribution evolution of a compacted loess during consolidation and shearingJournal of Soils and Sediments, 2020, Vol. 20.
    Cited by: 35+

  7. Microstructural evolution of loess soils from the Loess Plateau of ChinaCatena, 2019, Vol. 173.
    Cited by: 50+

  8. Simple method for prediction of the soil collapse behavior due to wettingInternational Journal of Geomechanics, 2018, Vol. 18.
    Cited by: 70+

  9. Prediction of the wetting-induced collapse behavior using the soil-water characteristic curveJournal of Asian Earth Sciences, 2019, Vol. 151.
    Cited by: 60+

  10. Review of collapse triggering mechanism of collapsible soils due to wettingJournal of Rock Mechanics and Geotechnical Engineering, 2016, Vol. 8.
    Cited by: 80+

 

Chao Yan | Engineering | Best Researcher Award

Dr. Chao Yan | Engineering | Best Researcher Award

Researcher, Institute of Urban Meteorology, China

🌍 Dr. Chao Yan is an accomplished researcher specializing in urban meteorology and environmental fluid mechanics. Currently, he serves as an Associate Research Fellow at the Institute of Urban Meteorology, China Meteorological Administration, in Beijing. Dr. Yan’s extensive research focuses on large eddy simulations, atmospheric environment modeling, and the interactions between urban structures and meteorological phenomena. His work has significantly contributed to the understanding of pollutant dispersion and environmental flow dynamics.

Publication Profile

Scopus

Strengths for the Award:

  1. Strong Academic Background: Chao Yan has a solid educational foundation with a Ph.D. from Tsinghua University, one of China’s most prestigious institutions. His dissertation on large eddy simulation of environmental flow over urban vegetated areas indicates a deep understanding of complex environmental and meteorological phenomena.
  2. Diverse Research Experience: Chao has held several research positions, including a postdoctoral researcher at UCLA and an associate research fellow at the Institute of Urban Meteorology, China Meteorological Administration. His work on projects like the ARPA-E MARINER Program and urban emergency response models demonstrates his versatility in tackling both theoretical and applied research problems.
  3. Significant Publications: He has published extensively in high-impact journals, covering topics such as fluid mechanics, atmospheric sciences, and coastal oceanography. His research has contributed to the understanding of complex environmental systems, with several papers appearing in top-tier journals like the Journal of Fluid Mechanics and Frontiers in Marine Science.
  4. International Collaboration: Chao has collaborated with leading researchers worldwide, including his time as a visiting scholar at MIT. This experience has allowed him to engage in cutting-edge research and broaden his professional network.
  5. Recognition and Awards: His academic excellence is highlighted by multiple scholarships and honors, such as the Comprehensive Excellence Scholarship from Tsinghua University and the Title of Graduate with Distinction from HUST. These accolades reflect his dedication and high standing in the academic community.

Areas for Improvement:

  1. Broader Impact and Outreach: While Chao has a strong research portfolio, increasing his involvement in public outreach or policy-related work could enhance the societal impact of his research. Engaging with stakeholders beyond the academic community might also raise the visibility of his work.
  2. Leadership Roles: Although he has extensive research experience, taking on more leadership roles, such as leading large-scale research projects or supervising graduate students, could further strengthen his candidacy. These roles would showcase his ability to guide and influence the next generation of researchers.
  3. Innovation in Methodologies: Chao could focus on developing or pioneering new research methodologies or tools that could set trends in his field. While his current work is impactful, driving innovation in research methods could further establish his reputation as a leader in his discipline.

 

Education

🎓 Dr. Yan earned his Ph.D. in Engineering Mechanics from Tsinghua University (THU), where he was mentored by Prof. Gui-Xiang Cui. His dissertation, titled Large Eddy Simulation of Environmental Flow over Urban Vegetated Areas, demonstrated his expertise in complex environmental modeling. He holds a B.Eng. in Naval Architecture and Ocean Engineering from Huazhong University of Science and Technology (HUST), where he graduated with top honors.

Experience

💼 Dr. Yan’s professional journey includes his current role as an Associate Research Fellow at the Institute of Urban Meteorology, China Meteorological Administration. He has also worked as a Postdoctoral Researcher at the University of California, Los Angeles, where he contributed to the ARPA-E MARINER Program. His earlier roles include Research Assistant positions at Tsinghua University and the Institute of Urban Meteorology, where he worked on various high-impact projects related to urban atmospheric environment and turbulence modeling.

Research Focus

🔬 Dr. Yan’s research is centered on urban meteorology, large eddy simulations, and environmental fluid mechanics. His work involves developing advanced models for understanding the interactions between urban structures, vegetation, and atmospheric flows. His research has practical applications in improving air quality predictions, urban planning, and emergency response systems.

Awards and Honors

🏆 Dr. Yan has received numerous accolades throughout his academic and professional career, including the Comprehensive Excellence Scholarship (Takada First Prize Scholarship) from Tsinghua University. He was also awarded the Title of Advanced Individual of Social Practice and the Comprehensive Merit Scholarship for Freshmen at THU. During his undergraduate studies, he was recognized as a Graduate with Distinction at HUST, where he ranked first among 224 students.

Publication Top Notes

📚 Dr. Yan has an impressive publication record in top-tier journals. Some of his notable works include:

  1. Yan, C., McWilliams, J. C., Chamecki, M. (2022). Overlapping boundary layers in coastal regions. Journal of Physical Oceanography. Link [Cited by: 14]
    A comprehensive study on the interaction between coastal boundary layers and their effects on environmental flow.
  2. Frieder, C., Yan, C., et al. (2022). A Macroalgal Cultivation Modeling System (MACMODS): Evaluating the Role of Physical-Biological Coupling on Nutrients and Farm Yield. Frontiers in Marine Science. Link [Cited by: 10]
    This paper explores the complex coupling of physical and biological processes in macroalgal farms.
  3. Yan, C., McWilliams, J. C., Chamecki, M. (2021). Generation of attached Langmuir circulations by a suspended macroalgal farm. Journal of Fluid Mechanics. Link [Cited by: 12]
    This study investigates the generation of Langmuir circulations in coastal environments due to macroalgal farming.
  4. Yan, C., Miao, S., Liu, Y., Cui, G. (2020). Multiscale modeling of the atmospheric environment over a forest canopy. Science China Earth Sciences. Link [Cited by: 8]
    An innovative approach to modeling atmospheric interactions over forest canopies.
  5. Mu Q., Miao S. G., et al. (2020). Evaluation of employing Local Climate Zone classification for mesoscale modeling over Beijing metropolitan area. Meteorology and Atmospheric Physics. Link [Cited by: 7]

Conclusion:

Chao Yan is a highly suitable candidate for the Best Researcher Award. His robust academic background, significant research contributions, and international collaborations make him a strong contender. While there are areas where he could expand his influence, such as through broader societal impact and leadership roles, his existing achievements are commendable and align well with the criteria for the award. His work not only advances the field of urban meteorology and environmental fluid mechanics but also demonstrates potential for continued excellence in research.

Hui Peng | Engineering | Best Researcher Award

Dr. Hui Peng | Engineering | Best Researcher Award

Professor, Central South University, China

👨‍🏫 Hui Peng is a distinguished Professor in the School of Automation at Central South University, Changsha, China. With a prolific career spanning over two decades, he has authored more than 70 papers in international journals and co-invented a patent in Japan. His expertise lies in various aspects of control engineering and statistical science, making significant contributions to industrial process control projects globally.

Profile

ORCID

 

Education

🎓 Hui Peng earned his B.Eng. and M.Eng. degrees in Control Engineering from Central South University, Changsha, China, in 1983 and 1986, respectively. He obtained his Ph.D. in Statistical Science from the Graduate University for Advanced Studies, Hayama, Japan, in 2003.

Experience

💼 Hui Peng has been a Professor at the School of Automation, Central South University, since 1998. He served as a Visiting Professor at the Institute of Statistical Mathematics, Tokyo, Japan, from 2000 to 2004 and again from 2009 to 2010. Since 2010, he has also been a Foreign Cooperative Professor at the Graduate University for Advanced Studies, Japan. His work includes successfully completing over ten industrial process control projects involving diverse systems like marine ships, thermal power plants, and quadrotor helicopters.

Research Interests

🔬 Hui Peng’s research interests are extensive and include nonlinear system modeling, statistical modeling, system identification, nonlinear optimization, signal processing, predictive control, robust control, process control, financial process modeling, and portfolio optimization.

Awards

🏆 Hui Peng has not only authored numerous papers but also co-invented a patent in Japan, reflecting his significant contributions to control engineering and statistical science.

Publications

Market price, excess demand and liquidity dynamics modeling and application to investment decision optimization

Research on Time Varying Variance Financial Time Series Modeling and Portfolio Optimization Methods

State-dependent ARX model-based nonlinear system modeling and robust predictive control

 

Najmeh Zamani | Engineering | Best Researcher Award

Dr. Najmeh Zamani | Engineering | Best Researcher Award 

Postdoc researcher, Concordia university, Canada

🌟 Najmeh Zamani (b. 29th July 1989) is a dedicated researcher in the field of electrical and computer engineering. She is currently a Postdoctoral Researcher at Concordia University, Canada, with a strong academic background from Isfahan University of Technology, Iran. Najmeh’s expertise spans control systems, nonlinear multi-agent systems, and deep learning applications. Married and proficient in both Persian and English, she is recognized for her significant contributions to her field.

 

Profile

Google Scholar

 

Education

🎓 Najmeh Zamani has an impressive academic record, starting with a Bachelor’s degree in Electrical Engineering from Isfahan University (2007-2011), where she ranked 1st. She continued at the same university for her Master’s degree (2011-2014), ranking 3rd, and then pursued a Ph.D. in Electrical Engineering at Isfahan University of Technology (2015-2021), achieving a GPA of 19/20. Her Ph.D. dissertation focused on the “Consensus of Nonlinear Multi-Agent Systems with Time-Delays and Actuator Faults.” Najmeh also completed postdoctoral research at Concordia University, Canada, in 2023.

Experience

💼 Najmeh Zamani has a robust professional background, including roles as a researcher at Isfahan University of Technology, an R&D researcher at Control Farayand Pasargad Company, and an electronic designer at Sirco Company. Her experience spans industrial projects like COVID-19 pandemic prediction models and power electronic boost converter design. Najmeh has also served as a visiting professor and teaching assistant in various institutions, sharing her expertise in control systems and electronics.

Research Interests

🔬 Najmeh Zamani‘s research interests are diverse and cutting-edge. They include distributed control systems and multi-agent systems, adaptive control of nonlinear systems with time-delays and faults, fault estimation and control theory, and control of distributed applications like mobile sensors. She is also passionate about deep learning, probabilistic graphical models (PGM), data-driven control, reinforcement learning, and data analysis.

Awards

🏆 Najmeh Zamani has received several accolades throughout her academic journey. She was ranked 1st among all graduated students in Electrical and Computer Engineering at Isfahan University in 2011. She was also recognized as an outstanding B.Sc. and M.Sc. student from 2007 to 2014. Notably, she received admission offers for both her graduate and doctoral studies at Isfahan University of Technology without needing to take the National Entrance Exam for Graduate Schools.

Publications

N. Zamani, M. Ataei, M. Niroomand, “Analysis and Control of Chaotic Behavior in Boost Converter by Ramp Compensation Based on Lyapunov Exponents Assignment: Theoretical and Experimental Investigation”, Chaos, Solitons and Fractals, 2015, cited by 20 articles. Link.

N. Zamani, J. Askari, M. Kamali, A. Aghdam, “Distributed adaptive consensus tracking control for non-linear multi-agent systems with time-varying delays”, IET Control Theory & Applications, 2020, cited by 15 articles. Link.

H. Kalantari, M. Mojiri, S. Dubljevic, N. Zamani, “Fast l1-MPC Based on Sensitivity Analysis Strategy”, IET Control Theory & Applications, 2020, cited by 10 articles. Link.

N. Zamani, J. Askari, M. Kamali, H. Kalantari, A. Aghdam, “Adaptive Tracking Control for Nonlinear Multi-Agent Systems with Stuck Failures and Unknown Control Directions”, Journal of the Franklin Institute, 2024. Link.

H. Kalantari, M. Mojiri, Najmeh Zamani, “Urban Traffic Control By Fast l1 Model Predictive Control Based on Sensitivity Analysis”, IET Control Theory & Applications, 2024. Link.