Aimon Mirza Baig | Power System Optimisation | Best Researcher Award

Mrs. Aimon Mirza Baig | Power System Optimisation | Best Researcher Award

Phd Researcher at Imperial College Lodnon, United Kingdom

Aimon Mirza Baig is a power systems researcher based in the United Kingdom, with specialized expertise in real-time modeling of flexible energy assets for grid stability. His research focuses on advanced mathematical modeling, energy market optimization, and ancillary service pricingβ€”especially in the context of renewable-dominated and nuclear-integrated electricity grids. He is proficient in multiple programming and modeling tools, and has published extensively in high-impact journals and IEEE conferences. Fluent in six languages, Aimon also engages in STEM education outreach internationally.

Publication ProfileΒ 

Scopus

Orcid

Educational Background πŸŽ“

  • PhD in Electrical and Electronic Engineering
    Imperial College London (2019–2025)
    Focus: Real-time modeling of flexible assets, frequency-security constrained unit commitment (SUC), ancillary service optimization.

  • MSc in Advanced Electrical Engineering (Distinction)
    Queen Mary University of London (2018–2019)

  • BEng in Electrical and Electronics Engineering (First Class)
    University of Greenwich (2015–2018)

Professional Experience πŸ’Ό

Imperial College London (2019–2025)

Modeling & Optimization Techniques

  • Developed C++ and Python-based SUC models integrating frequency containment and renewable uncertainty.

  • Designed pricing schemes to co-optimize energy production and ancillary service provisioning.

Simulation & Data Analysis

  • Used real-time National Grid data to validate models.

  • Demonstrated cost-effectiveness of inertia and frequency response co-optimization.

  • Evaluated benefits of ancillary services from nuclear, battery, and renewables.

Teaching & Mentorship – Riyadh, Saudi Arabia (2024)

  • Delivered STEM lectures and workshops to high school students, focusing on science and engineering.

Research Interests πŸ”¬

  • Power system stability and control

  • Co-optimization of energy and ancillary services

  • Virtual power plants and non-convex bi-level optimization

  • Flexible nuclear integration

  • Stochastic modeling of energy systems

  • Market design and pricing mechanisms for grid services

Awards and HonorsπŸ†βœ¨

  • Best Researcher Award

  • Outstanding Research Award

  • Excellent Research Presentation

Skills

  • Programming: Python, C++, MATLAB, VHDL

  • Tools: Proteus, Microsoft Office

  • Languages: English, Arabic, Hindi, Urdu, Pushto, Panjabi

Conclusion🌟

Aimon Mirza Baig stands out as a dynamic researcher bridging theoretical modeling with practical energy system applications. His contributions to ancillary service markets, renewable integration, and nuclear flexibility optimization position him as a future leader in power systems engineering. His blend of technical expertise, educational outreach, and publication record reflects a strong commitment to energy innovation and sustainable grid development.

Publications πŸ“š

  1. πŸ“˜ “Importance of Linking Inertia & Frequency Response”
    πŸ“ IEEE PowerTech, 2021
    πŸ” Focus: Grid stability through inertia and frequency dynamics.


  2. πŸ“• “Procurement: The Great Britain Case”
    πŸ“ Independent Research Publication
    πŸ›οΈ Focus: Analysis of procurement mechanisms in the GB electricity market.


  3. πŸ“— “Market Design for Ancillary Services via Virtual Power Plants: A Non-Convex Bi-Level Optimization Approach”
    πŸ“ Applied Energy, 2024
    βš™οΈ Focus: Virtual power plants, optimization, and market integration.


  4. πŸ“™ “Co-optimising Frequency-Containment Services in Renewable-Dominated Electricity Grids”
    πŸ“ International Journal of Electrical Power & Energy Systems (IJEPES), 2025
    🌿 Focus: Frequency services in high-renewable environments.


  5. πŸ““ “Stochastic Co-Optimisation of Energy, Frequency & Carbon Services in Flexible Nuclear Power Plants”
    πŸ“ IJEPES, 2025
    πŸ”„ Focus: Multi-service provision from nuclear plants under uncertainty.


  6. πŸ“’ “Marginal Pricing Scheme for Ancillary Service Provision from Flexible Nuclear Power Plants”
    πŸ“ IEEE Transactions on Sustainable Energy, 2025
    πŸ’Έ Focus: Pricing mechanisms for nuclear-powered ancillary services.


 

 

 

 

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 ProfileΒ 

Scopus

Educational Background πŸŽ“

  • 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 πŸ’Ό

  • 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 πŸ”¬

  • 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 HonorsπŸ†βœ¨

  • 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 πŸ“š

πŸ”¬ Journal Article | πŸ†“ Open Access | πŸ—“οΈ 2025 | πŸ”’ 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.
πŸ“Œ Focus: Collapse behavior during shield machine tunneling in saturated sand.


πŸ”¬ Journal Article | πŸ†“ Open Access | πŸ—“οΈ 2025 | πŸ”’ 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).
πŸ“Œ Focus: Tunnel face failure mechanism under sandy conditions.


πŸ”¬ Journal Article | πŸ†“ Open Access | πŸ—“οΈ 2025 | πŸ”’ 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.
πŸ“Œ Focus: Sealing effectiveness in underground gas reservoirs.


πŸ”¬ Journal Article | πŸ—“οΈ 2025 | πŸ”’ 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.
πŸ“Œ Focus: Response of surrounding rock under dynamic blasting loads.


πŸ”¬ Journal Article | πŸ—“οΈ 2024 | πŸ”’ 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.
πŸ“Œ Focus: New bolt design for stress dispersion in tunneling.


πŸ”¬ Journal Article | πŸ—“οΈ 2024 | πŸ”’ 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.
πŸ“Œ Focus: Soil arching effects during Earth Pressure Balance Shield (EPBS) tunneling.


πŸ”¬ Journal Article | πŸ—“οΈ 2024 | πŸ”’ 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.
πŸ“Œ Focus: Impact of water content on tunnel face stability.


Ke Wang | Travel Demand Modeling | Best Researcher Award

Assoc. Prof. Dr. Ke Wang | Travel Demand Modeling | Best Researcher Award

Associate Professor at University of Shanghai for Science and Technology, China

Ke Wang is an Associate Professor at the University of Shanghai for Science and Technology, specializing in travel behavior analysis, travel demand modeling, sustainable mobility, and data mining. His research contributions focus on advanced econometric models and machine learning techniques for understanding travel behavior and transportation systems. With over 190 citations, an H-index of 7, and an i-10 index of 6, Ke Wang has published extensively in high-impact transportation journals and conferences.

Publication ProfileΒ 

Scopus

Educational Background πŸŽ“

  • Joint Ph.D. in Transportation Engineering (2018.09 – 2019.09)

    • University of Texas at Austin

    • Supervisor: Prof. Chandra R. Bhat

  • Ph.D. in Transportation Engineering (2015.09 – 2021.01)

    • Tongji University

    • Supervisor: Prof. Xin Ye

  • B.E. in Transportation Engineering (2011.09 – 2015.06)

    • Chang’an University

Professional Experience πŸ’Ό

  • Associate Professor (2024.07 – Present)

    • University of Shanghai for Science and Technology

  • Assistant Professor (2021.06 – 2024.06)

    • University of Shanghai for Science and Technology

  • Research Assistant (2018.09 – 2019.09)

    • Center for Transportation Research, University of Texas at Austin

  • Research Assistant (2013.12 – 2015.06)

    • Institute of Regional and Urban Transportation Economics, Chang’an University

Research Interests πŸ”¬

  • Travel Behavior Analysis & Travel Demand Modeling

  • Sustainable Mobility & Urban Transportation Planning

  • Advanced Econometric & Machine Learning Models for Transportation

  • Shared Autonomous Vehicles & Ride-Hailing Services

  • Public Transport Accessibility & Mode Choice Analysis

Conclusion🌟

Ke Wang is a rising scholar in transportation engineering, contributing innovative methodologies to travel behavior modeling and sustainable mobility. His research integrates statistical modeling, artificial intelligence, and urban transportation systems to inform policy decisions. His extensive publication record in top-tier journals (SSCI, SCI, JCR Q1-Q3) demonstrates his influence in the field.

Publications πŸ“š

πŸ“„ Article | ✈️ Urban Air Mobility & Flying Cars
Title: Modeling the adoption of urban air mobility based on technology acceptance and risk perception theories: A case study on flying cars
Authors: S. Hu, Z. Huang, K. Wang, H. Lin, M. Pei
Journal: Multimodal Transportation (2025)
πŸ“Œ Citations: 0


πŸ“„ Article | 🚲 E-Bike Helmet Usage & Safety
Title: Deconstructing the barriers and facilitators of e-bike helmet usage: A structural equation modeling approach
Authors: M. Pei, Z. Huang, K. Wang, X. Ye
Journal: Journal of Transport and Health (2025)
πŸ“Œ Citations: 0


πŸ“„ Article | πŸš— Mobility as a Service (MaaS) & Face Consciousness
Title: The effects of face consciousness on young travelers’ intention to adopt mobility as a service (MaaS): A case study in Shanghai, China
Authors: J. Wen, H. Gan, K. Wang, Y. Huang, H. Lu
Journal: Research in Transportation Economics (2025)
πŸ“Œ Citations: 0


πŸ“„ Article | ⚑ EV Range Anxiety & Willingness to Pay
Title: Range anxiety and willingness to pay: Psychological insights for electric vehicles
Authors: M. Pei, Z. Huang, Z. Zhang, K. Wang, X. Ye
Journal: Journal of Renewable and Sustainable Energy (2025)
πŸ“Œ Citations: 0


πŸ“„ Article | 🌍 Carbon Emissions & Power Sector Transformation
Title: Carbon emission drivers of China’s power sector and its transformation for global decarbonization contribution
Authors: L. Zhao, K. Wang, H. Yi, J. Zhen, H. Hu
Journal: Applied Energy (2024)
πŸ“Œ Citations: 4