Naveed Ahmed | Engineering | Academic Excellence Award

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Assoc. Prof. Dr. Naveed Ahmed | Engineering | Academic Excellence Award

Assoc. Prof. Dr. Naveed Ahmed, Al Yamamah University, Saudi Arabia

Dr. Naveed Ahmed is an accomplished researcher and academician specializing in manufacturing and industrial engineering. He holds a PhD in Manufacturing Systems from King Saud University, Saudi Arabia, complemented by a Master’s degree in Manufacturing Engineering and a Bachelor’s degree in Industrial and Manufacturing Engineering from the University of Engineering and Technology, Lahore, Pakistan. Currently serving as an Associate Professor and Chairman of the Industrial Engineering Department at Al Yamamah University, Riyadh, he has significantly contributed to micro-manufacturing, nano-materials synthesis, and non-conventional machining processes. With over 80 high-impact research publications and a book published by Springer, Dr. Naveed has garnered global recognition, including the prestigious King Saud University Award for Scientific Excellence and Saudi Arabia’s Special Talent Premium Residency in 2024. His dedication to research and education continues to shape advancements in manufacturing and materials engineering.

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Summary of Suitability for the Research for Academic Excellence Award

Dr. Naveed Ahmed’s exceptional academic achievements and significant contributions to research make him highly suitable for the Research for Academic Excellence Award. Holding a PhD in Manufacturing Systems from King Saud University, Saudi Arabia, along with a Master’s degree in Manufacturing Engineering and an undergraduate degree in Industrial and Manufacturing Engineering, Dr. Ahmed has a robust academic foundation. His research interests span across a variety of cutting-edge fields, including micro-manufacturing, non-conventional machining, laser ablation, and electron beam melting, among others.

Dr. Ahmed has published over 80 research papers in prestigious ISI journals, with a total impact factor surpassing 230. His research contributions are notable not only for their technical depth but also for their practical applications in industries such as aerospace, biomedical implants, and manufacturing. His work is regularly cited, demonstrating the long-term impact of his research in the academic and industrial communities. Moreover, his research has garnered numerous accolades, including the King Saud University Award for Scientific Excellence in 2017 and the Special Talent Premium Residency in Saudi Arabia in 2024, reinforcing his standing as an influential figure in his field.

🎓 Education

Dr. Naveed Ahmed’s educational journey is rooted in excellence in manufacturing and industrial engineering. He earned his PhD in Industrial Engineering (Manufacturing Systems) from King Saud University, Saudi Arabia (2012–2016), focusing on micro-machining and laser processing of aerospace materials. His Master’s degree in Manufacturing Engineering (2007–2009) from the University of Engineering and Technology (UET), Lahore, Pakistan, provided him with in-depth knowledge of non-conventional machining processes. Prior to that, he completed his Bachelor’s in Industrial and Manufacturing Engineering (2003–2006) from UET Lahore, where he graduated with distinction, securing third position in his class. Throughout his academic tenure, he received multiple scholarships and honors, including a fully funded PhD scholarship from King Saud University. His robust educational foundation has enabled him to excel in research and academia, driving innovations in advanced manufacturing techniques and materials engineering.

💼 Professional Experience

Dr. Naveed Ahmed has extensive academic and research experience in manufacturing and industrial engineering. Since 2020, he has been the Chairman of the Industrial Engineering Department at Al Yamamah University, Riyadh, Saudi Arabia, where he also serves as an Associate Professor. Previously, he was an Assistant Professor at the same institution (2020–2021) and at the University of Engineering and Technology, Lahore, Pakistan (2017–2020). His research career began as a researcher at the Advanced Manufacturing Institute, King Saud University (2010–2017), where he contributed to pioneering research in micro-machining and nano-scale surface modifications. He also worked as a Lecturer at UET Lahore from 2007 to 2010. Over the years, he has supervised graduate students, developed engineering curricula, and engaged in industry collaborations, enhancing the field of advanced manufacturing through education and applied research.

🏅 Awards and Recognition

Dr. Naveed Ahmed’s contributions to engineering and research have been widely recognized. In 2024, he was awarded the Premium Residency of Saudi Arabia under the Special Talent category. He received the King Saud University Award for Scientific Excellence in 2017 and multiple research excellence awards from the College of Engineering at King Saud University. He played a key role in obtaining ABET accreditation for the Industrial Engineering Program at Al Yamamah University. His research achievements earned him “Key Scientific Article” certificates from Advances in Engineering (AIE), Ottawa, Canada, for publications on laser machining. Additionally, he secured fully funded PhD and MSc scholarships, ranked third in his undergraduate program, and won first prize in a national painting and photography competition. His accolades reflect his outstanding contributions to academia, research, and professional development in industrial and manufacturing engineering.

🌍 Research Skills On Engineering

Dr. Naveed Ahmed’s research expertise spans a wide range of advanced manufacturing and engineering fields. His key research skills include micro-manufacturing (micro-heat exchangers, micro-molding, micro-channels), laser ablation, ultrasonic milling, and electron beam melting (ARCAM). He has extensive experience in the synthesis of nanoparticles, under-fluid laser processing, and micro/nano-scale surface modifications. His work in non-conventional machining processes, such as electric discharge machining and wire-cut machining, has led to significant advancements in precision engineering. He is also proficient in materials engineering, human factors, ergonomics, and operations research. Dr. Naveed has successfully led and supervised multiple research projects, published over 80 high-impact journal papers, and contributed to industry advancements in biomedical implants and advanced machining techniques. His interdisciplinary research skills make him a leader in the field of industrial and manufacturing engineering.

📖 Publication Top Notes

  • Direct metal fabrication in rapid prototyping: A review

    • Authors: N Ahmed
    • Citation: 133
    • Year: 2019

  • Laser ablation and laser-hybrid ablation processes: a review

    • Authors: N Ahmed, S Darwish, AM Alahmari
    • Citation: 132
    • Year: 2016

  • Recent advances in the machining of titanium alloys using minimum quantity lubrication (MQL) based techniques

    • Authors: S Pervaiz, S Anwar, I Qureshi, N Ahmed
    • Citation: 127
    • Year: 2019

  • Machinability of titanium alloy through electric discharge machining

    • Authors: N Ahmed, K Ishfaq, K Moiduddin, R Ali, N Al-Shammary
    • Citation: 88
    • Year: 2019

  • On the investigation of surface integrity of Ti6Al4V ELI using Si-mixed electric discharge machining

    • Authors: M Umar Farooq, M Pervez Mughal, N Ahmed, N Ahmad Mufti, …
    • Citation: 81
    • Year: 2020

  • Curved profiles machining of Ti6Al4V alloy through WEDM: investigations on geometrical errors

    • Authors: MU Farooq, MA Ali, Y He, AM Khan, CI Pruncu, M Kashif, N Ahmed, N Asif
    • Citation: 77
    • Year: 2020

  • EDM of Ti-6Al-4V: Electrode and polarity selection for minimum tool wear rate and overcut

    • Authors: N Ahmed, K Ishfaq, M Rafaqat, S Pervaiz, S Anwar, B Salah
    • Citation: 73
    • Year: 2019

  • The potentiality of sinking EDM for micro-impressions on Ti-6Al-4V: keeping the geometrical errors (axial and radial) and other machining measures (tool erosion and work …

    • Authors: N Ahmed, S Anwar, K Ishfaq, M Rafaqat, M Saleh, S Ahmad
    • Citation: 51
    • Year: 2019

  • Electron beam melting of titanium alloy and surface finish improvement through rotary ultrasonic machining

    • Authors: N Ahmed, BM Abdo, S Darwish, K Moiduddin, S Pervaiz, AM Alahmari, …
    • Citation: 49
    • Year: 2017

  • Abrasive waterjet cutting of cladded material: Kerf taper and MRR analysis

    • Authors: K Ishfaq, N Ahmad Mufti, N Ahmed, S Pervaiz
    • Citation: 48
    • Year: 2019

 

Yakshansh Kumar | Engineering | Best Researcher Award

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Mr. Yakshansh Kumar | Engineering | Best Researcher Award

Mr. Yakshansh Kumar, Delhi Technological University, India

Yakshansh Kumar is a highly motivated researcher and academician in the field of Civil Engineering, with a specialization in Pavement-Soil Dynamics. Currently pursuing his PhD at Delhi Technological University, he focuses on dynamic response analysis of pavement-soil systems using piezo sensors. He has actively contributed to several publications and international conferences, establishing himself as a promising expert in geotechnical engineering. Passionate about advancing knowledge and fostering innovation, Yakshansh is also involved in mentoring students and advancing research projects. His dedication and commitment are evident in his academic achievements and research pursuits.

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Summary of Suitability for the “Research for Best Researcher Award”

Yakshansh Kumar is a promising and dedicated researcher with a strong academic foundation and a demonstrated commitment to advancing the field of civil and geotechnical engineering, particularly in pavement-soil dynamics. Currently pursuing a Ph.D. at Delhi Technological University, his research focus on dynamic response analysis of pavement-soil systems using piezo sensors exemplifies his innovative approach to solving complex engineering challenges. His research is not only theoretically robust but also applied, with funding from the university’s IRD and the use of experimental testing and finite element analysis in his investigations.

Kumar’s publication record is impressive, with multiple articles in high-impact journals such as International Journal of Non-Linear Mechanics (SCIE, Q1) and Journal of Vibration Engineering and Technologies (SCIE, Q2). He has contributed to the scientific community with key insights on dynamic load vibrations, piezo-dynamics, and the role of machine learning in geotechnical analysis. His research has garnered attention on both national and international platforms, demonstrated by his active participation in numerous conferences, where he has won awards for best technical papers.

🎓  Education

Yakshansh Kumar holds a PhD in Civil Engineering from Delhi Technological University (DTU), where he is conducting research on the dynamic analysis of pavement-soil systems. He earned his Master’s degree in Geotechnical Engineering from DTU, achieving a CGPA of 7.49. He completed his Bachelor’s degree in Civil Engineering at Hindu College of Engineering (affiliated with DCRUSTM) with a CGPA of 6.37. Throughout his academic career, Yakshansh has demonstrated a strong foundation in engineering principles, with a specific interest in soil dynamics and pavement systems. His rigorous research work has led to multiple scholarly contributions in well-regarded journals and international conferences.

💼 Professional Experience

Yakshansh Kumar has an extensive academic and research background. He is currently working on his PhD project, funded by the IRD-DTU, which focuses on pavement-soil dynamics using piezo sensors for experimental testing and finite element analysis. As part of his professional journey, Yakshansh has contributed to several research papers, conferences, and has collaborated with experts in geotechnical engineering. He has also participated as a reviewer in esteemed journals such as Transportation Infrastructure Geotechnology. In addition to his research, he has attended workshops and seminars, including a national seminar on Science Day and faculty development programs, showcasing his dedication to continuous learning. His involvement in teaching and research continues to shape his career path.

🏅  Awards and Recognition

Yakshansh Kumar has been recognized for his outstanding contributions to research and academic excellence. He was awarded the Best Technical Paper Award for his work on “Velocity Induced Post Elastic Response of Pavements” presented at the Sustainable Infrastructure: Innovations, Opportunities, and Challenges (SIIOC 2024). In addition, his paper on “Post Elastic Response of Pavement Subjected to Moving Load” received the Best Paper Award at the International Online Conference on Energy Science (ICES 2021). His work has been published in high-impact journals such as the International Journal of Non-Linear Mechanics and Journal of Vibration Engineering and Technologies. He has also been recognized as a reviewer for journals and international conferences, reflecting his academic credibility and recognition in the field of geotechnical engineering.

🌍 Research Skills On Engineering

Yakshansh Kumar possesses strong research skills, particularly in the areas of pavement-soil dynamics, finite element analysis, and piezo-dynamics of geomaterials. His expertise lies in dynamic response analysis using experimental testing and numerical modeling. His ongoing PhD project focuses on piezo sensors and their application to pavement systems, supported by funding from IRD-DTU. Yakshansh has demonstrated his proficiency in using advanced software for computational modeling and simulations, as well as conducting real-world experimental tests. His research contributes to understanding the behavior of pavements under dynamic loads, which is vital for improving infrastructure performance. His skills are complemented by his ability to collaborate with peers, present research at conferences, and publish in well-regarded journals.

📖 Publication Top Notes

  • Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2023). Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing. Transportation Infrastructure Geotechnology, 11(3), 922-933.
    • Year: 2023

  • Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing. Transportation Infrastructure Geotechnology, 11(3), 922-933.
    • Year: 2024

  • Deflections governed by the cyclic strength of rigid pavement subjected to structural vibration due to high-velocity moving loads

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Deflections governed by the cyclic strength of rigid pavement subjected to structural vibration due to high-velocity moving loads. Journal of Vibration Engineering & Technologies, 12(3), 3543-3562.
    • Year: 2024

  • Investigating the Influence of Frequency on Piezo-dynamics of Polyvinylidene Fluoride (PVDF) Films Embedded in Confined Geomaterials

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Investigating the Influence of Frequency on Piezo-dynamics of Polyvinylidene Fluoride (PVDF) Films Embedded in Confined Geomaterials. Journal of Vibration Engineering & Technologies, 1-20.
    • Year: 2024

  • Application of machine learning technique for dynamic analysis of confined geomaterial subjected to vibratory load

    • Authors: A Boban, P Pateriya, Y Kumar, K Gaur, A Trivedi
    • Citation: Boban, A., Pateriya, P., Kumar, Y., Gaur, K., & Trivedi, A. (2024). Application of machine learning technique for dynamic analysis of confined geomaterial subjected to vibratory load. AI in Civil Engineering, 3(1), 2.
    • Year: 2024

  • Influence of Jute Reinforcement on the Stiffness Capacity of Cohesionless Pavement Geomaterials

    • Authors: P Kumar, Y Kumar, A Trivedi
    • Citation: Kumar, P., Kumar, Y., & Trivedi, A. (2023). Influence of Jute Reinforcement on the Stiffness Capacity of Cohesionless Pavement Geomaterials. International Conference on Interdisciplinary Approaches in Civil Engineering.
    • Year: 2023

  • Numerical and Experimental Investigation of a Confined Geomaterial Subjected to Vibratory Load

    • Authors: A Boban, Y Kumar, A Trivedi
    • Citation: Boban, A., Kumar, Y., & Trivedi, A. (2023). Numerical and Experimental Investigation of a Confined Geomaterial Subjected to Vibratory Load. International Conference on Sustainable Infrastructure: Innovation.
    • Year: 2023

  • Impact of Moving Load Vibrations on Pavement Damage Supported by Flow-Controlled Geomaterials

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Impact of Moving Load Vibrations on Pavement Damage Supported by Flow-Controlled Geomaterials. Available at SSRN 5002829.
    • Year: 2024

Miaomiao Ma | Engineering | Best Researcher Award

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Prof. Miaomiao Ma | Engineering | Best Researcher Award

Prof. Miaomiao Ma, north china electric power university, China

Dr. Miaomiao Ma, born in February 1982, is a distinguished Chinese researcher specializing in model predictive control, optimal and robust control, and nonlinear control. Currently serving as an Associate Professor at the School of Control and Computer Engineering, North China Electric Power University, Beijing, he has made significant contributions to renewable power systems and mechatronic systems, particularly in automotive applications. With a strong foundation in control engineering, he has been actively involved in high-impact research and academic collaborations. Dr. Ma has held academic positions in China and Germany, including postdoctoral research at the University of Stuttgart under Prof. Frank Allgöwer. His research focuses on advanced control strategies for energy-efficient and resilient engineering systems. As an accomplished author, he has published extensively in leading journals and conferences, shaping the future of control theory applications in energy and automation. His expertise continues to influence both academia and industry.

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Suitability for the Research for Best Researcher Award – Miaomiao Ma

Dr. Miaomiao Ma is an accomplished researcher in control theory and engineering, particularly in model predictive control, optimal and robust control, and their applications in renewable power and mechatronic systems. His academic journey, from earning a Ph.D. from Jilin University to holding a prominent position as an Associate Professor at North China Electric Power University, highlights a strong foundation in both theoretical and applied research. His international exposure, including post-doctoral research at the University of Stuttgart under the supervision of Frank Allgöwer, further underscores his expertise in control engineering.

Dr. Ma has made significant contributions to the field, as evidenced by his extensive publication record in high-impact journals, including IEEE Transactions on Industrial Electronics, IET Renewable Power Generation, and ISA Transactions. His research primarily focuses on control strategies for micro-grids, wind energy systems, and power system stability, all of which are critical areas in modern energy and automation technologies. His innovative approaches, such as distributed moving horizon control and predictive load frequency control, have practical applications in optimizing energy efficiency and system stability. Additionally, his leadership in securing competitive research grants, including those from the Natural Science Foundation of China, further establishes his credibility as a leading researcher in his field.

🎓 Education 

Dr. Miaomiao Ma earned his Ph.D. in Control Theory and Engineering from Jilin University in 2009, where he developed a disturbance attenuation control scheme for constrained systems under the guidance of Prof. Hong Chen. Prior to that, he completed his Master of Science in Control Theory and Engineering at Jilin University in 2006, focusing on robust control of active suspensions using LMI optimization. His undergraduate studies in Automation, also at Jilin University, provided him with a strong technical foundation in control engineering. Throughout his academic journey, Dr. Ma has consistently demonstrated excellence in control systems, optimization techniques, and predictive control methodologies. His educational background has played a pivotal role in shaping his research trajectory, leading to innovative contributions in model predictive control, nonlinear control strategies, and their applications in renewable energy and automotive systems. His commitment to education and research continues to drive advancements in control engineering.

💼 Professional Experience

Dr. Miaomiao Ma has accumulated extensive academic and research experience, currently serving as an Associate Professor at the School of Control and Computer Engineering, North China Electric Power University (NCEPU), since January 2015. Prior to this, he was an Assistant Professor at NCEPU from 2009 to 2014. His international exposure includes a postdoctoral research tenure at the Institute for Systems Theory and Automatic Control, University of Stuttgart, Germany, under Prof. Frank Allgöwer from 2012 to 2013. Additionally, he was a visiting scholar at the same institute in 2007 and 2006. His professional journey has been marked by cutting-edge research in predictive and robust control, contributing significantly to renewable energy integration, micro-grid systems, and automotive control applications. His collaborative efforts with international researchers have strengthened global advancements in power systems and control engineering, solidifying his reputation as a leading figure in his field.

🏅 Awards and Recognition 

Dr. Miaomiao Ma’s contributions to control engineering and renewable energy systems have earned him several prestigious recognitions. He has received multiple research excellence awards for his work in model predictive control and distributed optimization. His papers have been widely cited, earning accolades in high-impact journals such as IEEE Transactions on Industrial Electronics and IET Renewable Power Generation. He has also been an invited speaker at international conferences, sharing insights on predictive control applications. His research projects have been supported by national and international funding agencies, reinforcing his expertise in control systems. Furthermore, Dr. Ma has been recognized as a leading scholar in his field, contributing to advancements in renewable energy integration, micro-grid optimization, and robust control mechanisms. His outstanding research achievements continue to inspire innovation and development in engineering applications worldwide.

🌍 Research Skill On Engineering

Dr. Miaomiao Ma possesses extensive research expertise in model predictive control, nonlinear control, and robust control strategies, particularly in renewable energy and automotive systems. His work focuses on optimizing micro-grid performance through distributed predictive control, ensuring stability in multi-area power systems. He specializes in H-infinity control, disturbance attenuation, and constrained optimization techniques, enhancing control strategies in energy systems. Dr. Ma’s interdisciplinary approach integrates control theory with mechatronics, resulting in innovative solutions for energy efficiency. His research methodologies involve algorithm development, simulation modeling, and real-time control implementations. With a strong publication record in renowned journals and conferences, he has contributed to shaping advanced control strategies for sustainable engineering. His collaborative projects with international researchers and institutions further demonstrate his ability to drive impactful research in modern control engineering applications.

📖 Publication Top Notes

  • Title: Distributed model predictive load frequency control of the multi-area power system after deregulation
    Authors: M Ma, C Zhang, X Liu, H Chen
    Citations: 164
    Year: 2016
    Journal: IEEE Transactions on Industrial Electronics
  • Title: Distributed model predictive load frequency control of multi-area interconnected power system
    Authors: M Ma, H Chen, X Liu, F Allgöwer
    Citations: 134
    Year: 2014
    Journal: International Journal of Electrical Power & Energy Systems
  • Title: Moving Horizon Tracking Control of Wheeled Mobile Robots With Actuator Saturation
    Authors: H Chen, MM Ma, H Wang, ZY Liu, ZX Cai
    Citations: 99
    Year: 2009
    Journal: IEEE Transactions on Control Systems Technology
  • Title: LFC for multi‐area interconnected power system concerning wind turbines based on DMPC
    Authors: M Ma, X Liu, C Zhang
    Citations: 74
    Year: 2017
    Journal: IET Generation, Transmission & Distribution
  • Title: Disturbance attenuation control of active suspension with non-linear actuator dynamics
    Authors: MM Ma, H Chen
    Citations: 58
    Year: 2011
    Journal: IET Control Theory & Applications
  • Title: Power transfer characteristics in fluctuation partition algorithm for wind speed and its application to wind power forecasting
    Authors: M Yang, D Wang, C Xu, B Dai, M Ma, X Su
    Citations: 34
    Year: 2023
    Journal: Renewable Energy
  • Title: Maximum power point tracking and voltage regulation of two-stage grid-tied PV system based on model predictive control
    Authors: M Ma, X Liu, KY Lee
    Citations: 31
    Year: 2020
    Journal: Energies
  • Title: Constrained H₂ control of active suspensions using LMI optimization
    Authors: M Ma, H Chen
    Citations: 28
    Year: 2006
    Conference: Chinese Control Conference
  • Title: Robust MPC for the constrained system with polytopic uncertainty
    Authors: X Liu, S Feng, M Ma
    Citations: 23
    Year: 2012
    Journal: International Journal of Systems Science
  • Title: Moving horizon ℋ∞ control of variable speed wind turbines with actuator saturation
    Authors: M Ma, H Chen, X Liu, F Allgöwer
    Citations: 20
    Year: 2014
    Journal: IET Renewable Power Generation

Chang Gao | Engineering | Best Researcher Award

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Mrs. Chang Gao | Engineering | Best Researcher Award

👤 Mrs. Chang Gao, Changsha University of Science and Technology, China

Chang Gao is an accomplished researcher and educator based in China, specializing in civil engineering and material sciences. With a strong academic foundation, he obtained his Bachelor’s degree in Civil Engineering from Hunan University and further advanced his expertise with a Ph.D. in Civil Engineering from the same institution. His innovative research spans high-performance concrete materials, eco-friendly construction methods, and machine learning applications in engineering. Currently, Chang serves as an Assistant Professor in the Intelligent Construction Department at Changsha University of Science and Technology while also pursuing postdoctoral research at Southeast University and Hunan University. His exceptional contributions to academia and industry have been recognized through prestigious awards, including the Third Prize of the Science and Technology Award by the China Circular Economy Association. Chang’s dedication to sustainable practices and cutting-edge research underscores his impact on the field of engineering.

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🌟 Summary of Suitability for the “Research for Best Researcher Award”

Dr. Chang Gao’s impressive academic and professional accomplishments establish him as a strong candidate for the “Research for Best Researcher Award.” His expertise lies in Civil Engineering, with a particular focus on innovative and eco-friendly concrete materials, shrinkage and creep behavior, and machine learning applications in construction materials. His contributions are evident through his impactful research, as highlighted in numerous peer-reviewed publications in reputable journals such as the Journal of Building Engineering, Construction and Building Materials, and the Journal of Materials Research and Technology.

Dr. Gao’s multidisciplinary approach, blending traditional civil engineering with advanced technologies like machine learning, sets him apart as a forward-thinking researcher. His work on recycled aggregate concrete and nanoparticles demonstrates a commitment to sustainable engineering solutions, addressing critical global challenges like resource efficiency and environmental impact.

🎓 Education

Chang Gao has a robust educational background in civil engineering, beginning with a Bachelor’s degree from Hunan University in 2014. Demonstrating exceptional academic performance, he pursued a Ph.D. in Civil Engineering at the same university, graduating in 2019. During his Ph.D. journey, Chang’s research focused on eco-friendly construction materials and the integration of machine learning in structural analysis. To broaden his expertise, he completed another doctoral program in Aeronautics and Astronautics Engineering at Purdue University in 2019, showcasing his interdisciplinary capabilities. This diverse academic experience not only honed his technical skills but also instilled a profound understanding of sustainable and advanced construction practices. With a passion for innovation and academic excellence, Chang has built a solid foundation to lead pioneering research and mentor the next generation of engineers.

💼  Professional Experience

Chang Gao’s professional journey reflects his dedication to advancing engineering practices. Since September 2022, he has served as an Assistant Professor in the Intelligent Construction Department of Civil Engineering at Changsha University of Science and Technology, where he actively contributes to academia through teaching and research. Simultaneously, Chang is a postdoctoral researcher at Southeast University, specializing in high-performance concrete materials, shrinkage and creep analysis, and the application of machine learning in construction engineering. Previously, he conducted postdoctoral research at Hunan University from December 2019 to September 2022, focusing on eco-friendly concrete and composite material improvements. Chang’s professional accomplishments are underpinned by his innovative approach, collaborative mindset, and dedication to sustainable construction solutions. His extensive experience bridges academia and industry, making him a prominent figure in civil engineering.

🏅 Awards and Recognitions

Chang Gao’s exemplary contributions to engineering have earned him multiple accolades. He was honored with the Third Prize in the Science and Technology Award from the China Circular Economy Association, recognizing his innovative research in sustainable materials. Additionally, he received funding from the Youth Program of the National Natural Science Foundation of China (Grant No. 52308233, 2023) and the Youth Program of the Hunan Province Natural Science Foundation of China (Grant No. 2022JJ40062, 2022). These awards highlight Chang’s commitment to advancing eco-friendly construction practices and integrating cutting-edge technologies into civil engineering. His achievements underscore his leadership and innovation in the field, inspiring peers and students alike to pursue excellence in engineering research and sustainable development.

🌍  Research Skills On Engineering

Chang Gao possesses advanced research skills in civil engineering and materials science, with a focus on sustainable and high-performance construction materials. His expertise includes the development of eco-friendly concrete materials, composite improvements, and shrinkage and creep analysis. He is proficient in leveraging machine learning techniques to evaluate the mechanical properties and performance of recycled aggregate concrete, demonstrating his ability to integrate technology into engineering research. Chang’s work also explores nanotechnology applications in material modification, further enhancing the durability and efficiency of construction materials. His interdisciplinary approach combines practical problem-solving with theoretical rigor, enabling him to produce innovative solutions for modern engineering challenges. Chang’s research skills are complemented by his strong analytical capabilities and collaborative mindset, making him a leader in advancing sustainable construction practices.

📖 Publication Top Notes

  • Simulation and numerical analysis of the seismic performance of the quick repaired seismic-damaged RC frame
    • Authors: Chang Gao, Liang Huang, Lei Wang, Qiang Sun, Yin Li
    • Journal: Soil Dynamics and Earthquake Engineering
    • Year: 2025
    • DOI: 10.1016/j.soildyn.2024.109083
  • Creep behavior evaluation of recycled aggregate concrete using machine learning technology
    • Authors: Chang Gao, Chuyu Luo, Bin Zhang, Zhangli Hu, Jinhui Tang, Lei Wang, Jiaping Liu
    • Journal: Journal of Building Engineering
    • Year: 2024
    • DOI: 10.1016/j.jobe.2024.111538
  • Axial compressive behavior of steel reinforced GGBS-RFBP-FA ternary composite geopolymer recycled fireclay brick aggregates concrete columns
    • Authors: Yin Li, Liang Huang, Chang Gao, Yiqun Qu, Xiaofeng Luo, Bodong Lv, Zhijun Chen
    • Journal: Structures
    • Year: 2024
    • DOI: 10.1016/j.istruc.2024.105913
  • Workability and mechanical properties of GGBS-RFBP-FA ternary composite geopolymer concrete with recycled aggregates containing recycled fireclay brick aggregates
    • Authors: Yin Li, Liang Huang, Chang Gao, Zhijie Mao, Mingzhu Qin
    • Journal: Construction and Building Materials
    • Year: 2023
    • DOI: 10.1016/j.conbuildmat.2023.131450
  • Jute Fiber-Reinforced Polymer Tube-Confined Sisal Fiber-Reinforced Recycled Aggregate Concrete Waste
    • Authors: Chang Gao, Qiu Ni Fu, Liang Huang, Libo Yan, Guangming Gu
    • Journal: Polymers
    • Year: 2022
    • DOI: 10.3390/polym14061260
  • Compressive performance of fiber reinforced polymer encased recycled concrete with nanoparticles
    • Authors: Chang Gao, Liang Huang, Libo Yan, Bohumil Kasal, Wengui Li, Ruoyu Jin, Yutong Wang, Yin Li, Peng Deng
    • Journal: Journal of Materials Research and Technology
    • Year: 2021
    • DOI: 10.1016/j.jmrt.2021.07.159
  • Flax FRP tube and steel spiral dual-confined recycled aggregate concrete: Experimental and analytical studies
    • Authors: Liang Huang, Jinmei Liang, Chang Gao, Libo Yan
    • Journal: Construction and Building Materials
    • Year: 2021
    • DOI: 10.1016/j.conbuildmat.2021.124023
  • Mechanical properties of recycled aggregate concrete modified by nano-particles
    • Authors: Chang Gao, Liang Huang, Libo Yan, Ruoyu Jin, Haoze Chen
    • Journal: Construction and Building Materials
    • Year: 2020
    • DOI: 10.1016/j.conbuildmat.2020.118030
  • Strength and ductility improvement of recycled aggregate concrete by polyester FRP-PVC tube confinement
    • Authors: Chang Gao, Liang Huang, Libo Yan, Ruoyu Jin, Bohumil Kasal
    • Journal: Composites Part B: Engineering
    • Year: 2019
    • DOI: 10.1016/j.compositesb.2018.10.102
  • Experimental and numerical studies of CFRP tube and steel spiral dual-confined concrete composite columns under axial impact loading
    • Authors: Liang Huang, Chang Gao, Libo Yan, Tao Yu, Bohumil Kasal
    • Journal: Composites Part B: Engineering
    • Year: 2018
    • DOI: 10.1016/j.compositesb.2018.07.008