Salomon Dominique Edimo Kingue | Engineering | Research Excellence Award

Mr. Salomon Dominique Edimo Kingue | Engineering | Research Excellence Award

State University of Campinas | Brazil

Mr. Salomon Dominique Edimo Kingue is a reservoir engineer and researcher specializing in enhanced oil recovery (EOR), reservoir simulation, and sustainable subsurface energy strategies. His expertise centers on FAWAG/WAG processes, CO₂ storage modeling, and integrated reservoir–production optimization for complex carbonate systems, particularly within Brazilian pre-salt environments. He is highly skilled in using CMG (IMEX, STARS, GEM, CMOST), Petrel, Python, and advanced analytical tools to investigate flow behavior, improve recovery efficiency, and reduce greenhouse gas emissions. His research spans numerical simulation of EOR mechanisms, uncertainty analysis, carbon capture and storage (CCS), fractured-vuggy reservoir upscaling, and evaluation of production potential in hydrocarbon basins. He has co-authored studies on underground LPG storage and reservoir performance prediction, and contributed to interdisciplinary projects involving major industry partners. His work also extends to geological interpretation, multidisciplinary collaboration, and scientific communication through symposiums, poster sessions, and peer-reviewed publications. Salomon combines strong analytical reasoning with leadership, teamwork, and effective communication, reflecting his commitment to innovation-driven reservoir management and the advancement of low-carbon energy solutions.

Profile: Orcid

Featured Publications

Kingue, S. D. E., Akinmuda, O. B., Kuiekem, D., & Djitchouang, G. L. (2025). Assessing the production potential of Niger Delta reservoirs under uncertainty using numerical simulation tools. Petroleum Science and Technology.

Kuiekem, D., Kingue, S. D. E., Boroh, W., Noupa, R. K., Matateyou, J., & Ngounouno, I. (2025). Simulation study of underground LPG storage in a depleted conceptual oil reservoir. Petro Chem Indus Intern, 8(2), 1–14.

Zhiqi Wu | Engineering | Best Researcher Award

Ms. Zhiqi Wu | Engineering | Best Researcher Award

Student at Anhui University of Science and Technology | China

Zhiqi Wu is a Master’s student in Electrical Engineering at Anhui University of Science and Technology, specializing in computer vision applications for intelligent coal gangue detection. His research emphasizes developing lightweight, high-performance models that improve automation and efficiency in mining operations. Zhiqi proposed a novel model integrating multispectral imaging with knowledge distillation, achieving a precision increase of up to 6% while reducing model size by 21.8%, enabling deployment on mobile and edge devices for real-time sorting. This approach advances intelligent coal industry practices by combining computational efficiency with practical industrial applicability. Zhiqi’s work exemplifies the translation of advanced AI techniques into actionable solutions for industrial automation, with a focus on scalability, accuracy, and sustainability. His contributions are recognized in the research community, with 1 citation for his published work, highlighting its impact and relevance. To date, he has contributed to 4 documents in his research portfolio, reflecting his engagement in ongoing innovation and knowledge dissemination. While his h-index currently stands at 1, it represents a promising start in a career dedicated to applied AI in mining technologies. Zhiqi continues to explore methods for optimizing computer vision systems in industrial contexts, advancing automation, operational safety, and resource efficiency. His work bridges theoretical research and practical deployment, positioning him as an emerging researcher making measurable contributions to intelligent mining technologies.

Profile: Scopus

Featured Publications

Yan, P. (2025). Transformer fault diagnosis based on LIF technology and COA-GRU algorithm. Engineering Research Express, 7(2), 25409.

Ashish Ranjan Dash | Engineering | Best Researcher Award

Dr. Ashish Ranjan Dash | Engineering | Best Researcher Award

Associate Professor at Centurion University of Technology and Management | India

Dr. Ashish Ranjan Dash is a highly accomplished academic and researcher in the field of electrical engineering, specializing in power electronics, multilevel inverters, and power quality improvement. With a proven track record in research, teaching, and project leadership, he has significantly contributed to advancements in smart infrastructure, renewable energy systems, and IoT-enabled agricultural automation. He has also played a pivotal role in supervising doctoral students, developing innovative solutions for industrial applications, and leading consultancy projects for technology-driven agriculture and smart systems.

Publication Profile 

Scopus

Google Scholar

Educational Background 

Dr. Dash earned his Ph.D. in Power Electronics from the National Institute of Technology (NIT) Rourkela, focusing on cascaded multilevel inverter-based shunt active filters under varying grid voltage conditions. He also holds an M.Tech. in Power Control and Drives from NIT Rourkela, where his dissertation explored control strategies for grid-connected inverter systems during fault conditions. His academic foundation is further strengthened by a B.Tech. in Electrical Engineering and a Diploma in Electrical Engineering, complemented by a strong record of academic excellence throughout his studies.

Professional Experience 

With over a decade of academic and research experience, Dr. Dash serves as an Associate Professor at Centurion University of Technology and Management, Odisha. His prior roles include research and academic positions in engineering colleges and at the Council of Scientific and Industrial Research. He has held key administrative positions such as Dean and Associate Dean of the School of Engineering and CEO of the Smart Infrastructure Research Center, where he has led interdisciplinary projects integrating IoT, automation, and renewable energy systems.

Research Interests 

His research focuses on power electronics, multilevel inverter design, power quality enhancement, electric vehicle charging infrastructure, smart grid systems, and IoT-enabled automation. He also works extensively on agricultural automation, including polyhouse automation, speed breeding chambers, and plant phenotyping systems. Emerging interests include machine learning applications for plant disease detection, robotics, and smart farming technologies.

Awards and Honors 

Dr. Dash has received multiple accolades, including the Distinguished Achiever Award at the Provost Research Awards and recognition as a session chair at IEEE international conferences. He is the founder of a technology-driven startup and actively engages in professional communities such as the IEEE Power Electronics Society, IEEE Industry Applications Society, and IEEE SIGHT.

Research Skills 

He possesses strong expertise in the design, modeling, and implementation of cascaded multilevel inverters, power quality control algorithms, and renewable energy integration. His skills extend to IoT-based system design, automation technologies, electric vehicle charging systems, and cloud-based agricultural monitoring. He is also an experienced reviewer for several high-impact international journals in power electronics and smart grid applications.

Publications 

A unified control of grid-interactive off-board EV battery charger with improved power quality

Citations: 49

Year: 2022

Reactive power compensation using vehicle-to-grid enabled bidirectional off-board EV battery charger

Citations: 34

Year: 2021

Adaptive LMBP training‐based icosϕ control technique for DSTATCOM

Citations: 33

Year: 2020

Analysis of PI and PR controllers for distributed power generation system under unbalanced grid faults

Citations: 33

Year: 2011

Design and implementation of a cascaded transformer coupled multilevel inverter‐based shunt active filter under different grid voltage conditions

Citations: 24

Year: 2019

Conclusion 

Dr. Ashish Ranjan Dash is a forward-looking researcher and educator whose work bridges advanced power electronics with practical applications in smart infrastructure and agricultural automation. His multidisciplinary expertise, leadership in funded projects, and dedication to mentoring the next generation of engineers make him a valuable contributor to both academia and industry. His continued research promises innovative advancements in electric mobility, renewable energy integration, and intelligent automation systems.

Ping Li | Mechanical Engineering | Best Researcher Award

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

Guangzhou University, China

Dr. Ping Li is an Associate Professor of Mechanical Engineering at the School of Mechanical and Electrical Engineering, Guangzhou University, China. With a PhD from South China University of Technology, Dr. Li specializes in micro-nano functional surface fabrication, microscale interfacial fluid transport, and thermal optimization for electronic devices. His research integrates advanced microfabrication techniques with fluid dynamics and materials science, contributing significantly to the fields of microstructured surface engineering, thermal management, and photovoltaic performance optimization. He has authored numerous peer-reviewed articles in high-impact international journals and serves as a master’s student advisor.

Publication Profile 

Orcid

Educational Background 🎓

  • 2011–2015:
    PhD in Mechanical Engineering
    South China University of Technology, Guangzhou, China

    • Dissertation: Characterized Micro-structured array of ground surface and its functional properties

    • Supervisor: Prof. Jin Xie

    • Sponsored by NSFC Program

  • 2010–2011:
    M.Sc. in Mechanical Engineering
    South China University of Technology, Guangzhou, China

  • 2006–2010:
    B.Eng. in Process Equipment and Control Engineering
    University of South China, Hengyang, China

Professional Experience 💼

  • 2023–Present
    Associate Professor, Master Tutor
    Guangzhou University, School of Mechanical and Electrical Engineering

  • 2017–2023
    Lecturer, Master Tutor
    Guangzhou University, School of Mechanical and Electrical Engineering

  • 2015–2017
    Engineer
    CNPC Tubular Goods Research Institute, Xi’an, China

    • State Key Laboratory for Performance and Structure Safety of Petroleum Tubular Goods and Equipment Materials

Research Interests 🔬

  1. Micro-nano Functionalization Fabrication and Materials Processing

    • Surface microstructuring, wettability control, surface roughness analysis

  2. Microscale Interfacial Fluid Transport Phenomena

    • Capillary action, thin film flows, liquid bridge dynamics using AFM

  3. Optimization Thermal Design for Electronic Devices

    • Microfluidic heat sinks, thermal diode design, solar cell interface structures

Awards and Honors🏆✨

While not explicitly listed in the CV, the following inferred distinctions apply:

  • NSFC-sponsored PhD Research Project

  • First-authored and corresponding author roles in multiple high-impact journals such as Physics of Fluids, Nanomaterials, Langmuir, and Applied Surface Science

  • Research contributions cited in interdisciplinary fields, including thermal science, optics, and materials science

Conclusion🌟

Dr. Ping Li is a rising expert in the interdisciplinary domain of micro-nano engineering, thermal management, and interfacial physics. Through his academic and industrial experiences, he bridges theoretical modeling with practical engineering applications, particularly in microscale fabrication and energy systems. His continued research output and mentorship roles position him as a significant contributor to both academic research and engineering innovation in China.

Publications 📚

📘 Unidirectional Heat and Fluid Transfer Performances of a Thermal Diode with Fishbone-Microstructure Wicks
🧪 Journal of Materials Chemistry C, 2024
🔗 DOI: 10.1039/D4TC03236E
👥 Ping Li, Jiale Huang, Haifeng Qiu, Liangming Deng, Jiawei Liao, Tuo Jin, Yongfeng Zheng, Jianhua Xiang


🏗️ Topological Design for Isotropic Metamaterials Using Anisotropic Material Microstructures
📘 Engineering Analysis with Boundary Elements, 2024-05
🔗 DOI: 10.1016/j.enganabound.2024.01.025
👥 Jianhua Xiang, Jing Chen, Yongfeng Zheng, Ping Li, Jiale Huang, Zhipeng Chen


📐 Hierarchical Topology Optimization with Varying Micro-structural Aspect Ratios
📘 Engineering Analysis with Boundary Elements, 2023-11
🔗 DOI: 10.1016/j.enganabound.2023.07.044
👥 Yongfeng Zheng, Jianhua Xiang, Zhongyuan Liao, Ping Li, Xiwen Cai, Zhipeng Chen, Jiale Huang


🔥 Design and Thermal Performance of Thermal Diode Based on the Asymmetric Flow Resistance in Vapor Channel
📘 International Journal of Thermal Sciences, 2023-09
🔗 DOI: 10.1016/j.ijthermalsci.2023.108345
👥 Jianhua Xiang, Wenqiang Yang, Hongyan Liao, Ping Li, Zhipeng Chen, Jiale Huang


🍃 The Transitional Wettability on Bamboo-Leaf-like Hierarchical-Structured Si Surface Fabricated by Microgrinding
🧪 Nanomaterials, 2022-08-22
🔗 DOI: 10.3390/nano12162888
👥 Ping Li, Jinxin Wang, Jiale Huang, Jianhua Xiang


🧴 Study on Nitrile Oxide for Low-Temperature Curing of Liquid Polybutadiene
🧪 Materials, 2022-05-09
🔗 DOI: 10.3390/ma15093396
👥 Ping Li, Xiaochuan Wang


🔍 Evaluation on Ground Surface Accuracies of Large-Depth and Steeply Micro-Structured SiC Surfaces
📘 International Journal of Precision Engineering and Manufacturing, 2021-02-04
🔗 DOI: 10.1007/s12541-020-00442-5
👥 Ping Li, Xiaochu Liu, Junwu Chen


🧲 Influence of Lateral Movement on Level Behavior of Adhesion Force Measured Repeatedly by an Atomic Force Microscope (AFM) Colloid Probe in Dry Conditions
🧪 Materials, 2021-01-13
🔗 DOI: 10.3390/ma14020370
👥 Ping Li, Tianmao Lai


🧨 Synthesis and Curing of Allyl Urethane NIMMO-THF Copolyether with Three Functional Groups as a Potential Energetic Binder
📘 Central European Journal of Energetic Materials, 2020-03-26
🔗 DOI: 10.22211/cejem/119233
👥 Ping Li


🧪 Synthesis and Curing of AUT-PNIMMO with Three Functional Groups
📘 Polymer Korea, 2019-07-31
🔗 DOI: 10.7317/pk.2019.43.4.503
👥 Ping Li


💧 Direct Evidence of a Radius of Collection Area for Thin Film Flow in Liquid Bridge Formation by Repeated Contacts Using AFM
📘 Langmuir, 2019-05-07
👥 Ping Li


Guojun Wu | Civil Engineering | Best Researcher Award

Mr. Guojun Wu | Civil Engineering | Best Researcher Award

Professor at Chinese Academy of Sciences, China

Professor Guojun Wu is a distinguished researcher in geotechnical and underground engineering, serving at the Institute of Rock and Soil Mechanics, Chinese Academy of Sciences in Wuhan, China. With over two decades of impactful academic and industry contributions, he specializes in underground engineering disaster mechanisms and support control technologies. He has led 14 completed and 3 ongoing research projects, authored 78 peer-reviewed publications, published 4 books, and holds 37 patents (with 4 pending). He actively contributes to the advancement of tunnel safety and sustainable underground infrastructure development.

Publication Profile 

Scopus

Educational Background 🎓

  • Bachelor’s Degree (2001): Engineering Mechanics, Wuhan University, China

  • Master’s Degree (2003–2006): Geotechnical Engineering, Wuhan Institute of Geotechnical Mechanics, Chinese Academy of Sciences

  • Ph.D. Degree (2006–2009): Geotechnical Engineering, Wuhan Institute of Geotechnical Mechanics, Chinese Academy of Sciences

Professional Experience 💼

  • Current Position: Professor, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences

  • Editorial Roles:

    • Editorial Board Member, International Journal of Mining Science and Technology

    • Guest Editor, Advances in Civil Engineering

  • International Collaboration:

    • Research on Boom Clay with Belgian Nuclear Research Center

    • Visiting Scholar at Lorrain University, France

  • Consultancy Projects: Led 6 industry projects

  • Professional Affiliations:

    • Director, Underground Engineering Branch, Chinese Society of Rock Mechanics and Engineering

    • Director, Hubei Underground Engineering Society

Research Interests 🔬

  • Geotechnical Engineering

  • Underground Engineering

  • Tunnel Safety and Deformation Control

  • Rock Mechanics

  • Dynamic Stress Testing

  • Support Control Technologies for Steeply Inclined and Squeezing Rock Tunnels

Awards and Honors🏆✨

  • Nominee for the Global Innovation Technologist Awards – Best Researcher Award

  • Recognized for proposing the dynamic stress testing method for soft rock and a buffer support design method for asymmetric deformation in tunnels, both adopted in deep coal mine projects.

Conclusion🌟

Professor Guojun Wu stands as a leading figure in the field of underground geotechnical engineering, with innovations that have significantly improved safety and design in high-risk environments. His extensive publication record, interdisciplinary collaborations, and patented technologies position him as a prime candidate for the Best Researcher Award. His work demonstrates practical impact, academic rigor, and global collaboration, making him an invaluable contributor to civil engineering and underground infrastructure sciences.

Publications 📚

🔬 Journal Article | 🆓 Open Access | 🗓️ 2025 | 🔢 0 citations
Li, Y., Wu, G., Chen, W., Yuan, J., & Huo, M. (2025). Laboratory model tests and unstable collapse analysis of SPB shield machine tunnelling in saturated sand. Tunnelling and Underground Space Technology.
📌 Focus: Collapse behavior during shield machine tunneling in saturated sand.


🔬 Journal Article | 🆓 Open Access | 🗓️ 2025 | 🔢 0 citations
Huo, M., Chen, W., Yuan, J., Li, Y., & Liu, Y. (2025). Experimental investigation and limit analysis of shield tunnel face failure mechanism in sand. Underground Space (China).
📌 Focus: Tunnel face failure mechanism under sandy conditions.


🔬 Journal Article | 🆓 Open Access | 🗓️ 2025 | 🔢 0 citations
Wen, C., Jia, S., Fu, X., & He, H. (2025). Semi-analytical assessment of dynamic sealing capacity of underground gas storage: A case of Songliao Basin, Northeastern China. Journal of Rock Mechanics and Geotechnical Engineering.
📌 Focus: Sealing effectiveness in underground gas reservoirs.


🔬 Journal Article | 🗓️ 2025 | 🔢 1 citation
Yu, J., Zhang, Z., Wu, G., Li, X., & Tian, H. (2025). Investigation on asymmetric dynamic response characteristics of anchored surrounding rock under blasting excavation of inclined layered rock tunnel. Canadian Geotechnical Journal.
📌 Focus: Response of surrounding rock under dynamic blasting loads.


🔬 Journal Article | 🗓️ 2024 | 🔢 1 citation
Shu, X., Chen, W., Qiu, X., Wu, G., & Tian, Y. (2024). Anchorage mechanism and parametric analysis of a novel interface-shear-stress-dispersing bolt. Tunnelling and Underground Space Technology.
📌 Focus: New bolt design for stress dispersion in tunneling.


🔬 Journal Article | 🗓️ 2024 | 🔢 2 citations
Li, Y., Wu, G., Chen, W., Huo, M., & Liu, Y. (2024). Laboratory experimental study of the forming and failure mechanisms of soil arching during EPBS tunnelling in sand. Engineering Failure Analysis.
📌 Focus: Soil arching effects during Earth Pressure Balance Shield (EPBS) tunneling.


🔬 Journal Article | 🗓️ 2024 | 🔢 1 citation
Li, Y., Wu, G., Chen, W., Yuan, J., & Huo, M. (2024). Influence of confined water on the limit support pressure of tunnel face in weakly water-rich strata. Journal of Central South University.
📌 Focus: Impact of water content on tunnel face stability.


Zhiyang Guo | Sliding Mode Control | Best Scholar Award

Dr. Zhiyang Guo | Sliding Mode Control | Best Scholar Award

Doctoral Candidate at Dalian Maritime University, China

🌊 Dr. Zhiyang Guo is a passionate researcher in maritime engineering and control systems, currently pursuing a Ph.D. at Dalian Maritime University. With expertise in sliding mode control and autonomous vehicles, he has published impactful research articles and holds patents in innovative maritime technologies. 🚤🔬 His work contributes to advancing the capabilities of unmanned and autonomous surface vehicles, driving innovation in the maritime industry. 🌟

Publication Profile : 

Scopus

Educational Background 🎓

Zhiyang Guo is currently a Doctoral Candidate at Dalian Maritime University, where he has been pursuing his Ph.D. since 2022. He previously completed his Master’s degree at the same institution from 2020 to 2022, specializing in cutting-edge maritime technologies.

Professional Experience 💼

Zhiyang Guo has demonstrated a strong commitment to advancing maritime engineering and control systems. His research focuses on unmanned surface vehicles (USVs) and autonomous surface vehicles (ASVs), particularly in sliding mode control. He has contributed to the field through patent applications and publications in esteemed journals, showcasing his innovative approach to maritime maneuverability and control systems.

Research Interests 🔬

  • Sliding mode control
  • Unmanned surface vehicles (USVs)
  • Autonomous surface vehicles (ASVs)

Achievements and Innovations

Zhiyang has filed two patents (Application Numbers: 202410936299.5 and 202410936301.9) and authored influential journal articles, including:

  1. Turning and zigzag maneuverability investigations on a waterjet-propelled trimaran in calm and wavy water using a direct CFD approach (DOI: 10.1016/j.oceaneng.2023.115511)
  2. Predefined-time global recursive sliding mode control for trajectory tracking of unmanned surface vehicles with disturbances uncertainties (DOI: 10.1016/j.oceaneng.2024.119408)

Publications 📚

  • Guo, Z., Zhang, J., Shang, Y., Zhang, L., & Chen, W. (2024). Predefined-time global recursive sliding mode control for trajectory tracking of unmanned surface vehicles with disturbances uncertainties. Ocean Engineering, 313, 119408.

  • Zhang, J., Guo, Z., Zhang, Q., Shang, Y., & Zhang, L. (2023). Turning and zigzag maneuverability investigations on a waterjet-propelled trimaran in calm and wavy water using a direct CFD approach. Ocean Engineering, 286, 115511.

  • Cui, Y., Wang, D., Guo, Z., Zhang, L., & Zhang, J. (2023). Maneuverability prediction for trimaran ship under the combined influence of wind and wave. Proceedings of SPIE – The International Society for Optical Engineering, 12756, 127564V.

  • Wei, Y., Zhang, J., Guo, Z., Shang, Y., & Zhang, L. (2023). Research on added waves resistance in misalignment paralleling of two ships. Proceedings of SPIE – The International Society for Optical Engineering, 12756, 127561G.