Anshika Singh | Predictive Analytics | Best Researcher Award

Published on 20/06/202520/06/2025 by Research Data Analysis

Ms. Anshika Singh | Predictive Analytics | Best Researcher Award

IIT BHU | India

Author Profile

Scopus

🧑‍🎓 Summary

Anshika Singh, a final-year B.Tech student in Civil Engineering at IIT (BHU), Varanasi, with a CGPA of 8.76. I am passionate about combining sustainable construction practices with modern technologies like machine learning to improve infrastructure systems. Through diverse internships, research projects, and leadership roles, I have developed strong skills in technical problem-solving, team collaboration, and project execution. My academic journey reflects a commitment to engineering excellence, innovation, and social impact.

🎓 Education

I am currently pursuing a B.Tech in Civil Engineering at IIT (BHU), Varanasi, with an overall CGPA of 8.76 and strong semester performances, including 9.43 in Semester VII. I completed my Class XII from Rani Laxmi Bai Memorial Inter College, UP Board, with 79.40% in 2020, and my Class X from the same school with 89.16% in 2018. My academic background has built a solid foundation in structural mechanics, transportation engineering, and geotechnical engineering.

🏗️ Professional Experience

As an intern at Gammon Engineers & Contractors Pvt. Ltd. under the NHAI project from May to July 2024, I contributed to the Varanasi Ring Road Project, particularly on a 1.47 km segmental bridge. I conducted quality tests such as Slump Cone, Sieve Analysis, and soil testing, while also learning about topographic surveys, well foundations, and pre-stressed concrete construction. This experience strengthened my understanding of on-site construction workflows and quality control systems in large-scale infrastructure.

🔬 Academic Projects

My current undergraduate project, “Leveraging AI for Affordable Pavement Performance Assessment”, involves developing a user-friendly GUI and applying ML models such as Random Forest, Decision Trees, and KNN on a dataset of 1,200 samples to predict pavement properties like CT Index and permanent strain, reducing the need for costly lab testing.
Another project, “Performance Evaluation of Sustainable Concrete”, involved testing 300+ concrete mixes with GGBS and fly ash, achieving up to 40 MPa compressive strength and a 15% reduction in water absorption, promoting eco-friendly alternatives in concrete.
In the project “Land Use/Land Cover Evolution and Forecasting in Jabalpur”, I analyzed 30 years of satellite data using a machine learning model with 98% accuracy, helping forecast future urban expansion for sustainable planning.

🛠️ Technical Skills

My technical toolkit includes AutoCAD, STAAD.Pro, MATLAB, and Python for analysis and design, as well as scikit-learn, pandas, and Tkinter for data analysis and GUI development. I am also proficient in material testing, mix design, and survey techniques, enabling me to connect software tools with real-world engineering applications.

👩‍🏫 Teaching Experience

As a Senior Induction Mentor in the Student Counselling Service, I helped conduct 100+ interviews, trained 25 mentors, and guided 200+ freshmen, creating a welcoming and inclusive environment for new students. I also served as the DUGC Student Representative (2023–24), where I collaborated with faculty to implement curriculum improvements, positively impacting over 800 students and initiating policy reforms for academic betterment.

🔬 Research Interest

My core research interests include sustainable construction materials, transport infrastructure design, and the use of machine learning in civil engineering. I am particularly drawn to AI-driven solutions for pavement evaluation, urban land-use forecasting, and green material innovation, aiming to bridge the gap between traditional engineering and technological advancement.

🏅 Academic Citations & Achievements

I successfully qualified GATE 2024 in Civil Engineering and received an award at the Global Road Construction Conference 2024 in Jaipur for outstanding contribution. Additionally, I was recognized for an impactful poster presentation at the Research and Innovation Day 2024 at IIT (BHU), showcasing my work in AI-integrated pavement analysis.

Publications

Data‑driven predictive models for evaluating optimum binder content and volumetric properties of bituminous mixtures using design variables, 2025

Sinan Xiao – Structural Reliability – Best Researcher Award

Published on 12/04/202412/04/2024 by Research Data Analysis

Dr. Sinan Xiao - Structural Reliability - Best Researcher Award

University of Bath - United Kingdom

Author Profile

Early Academic Pursuits

Dr. Sinan Xiao's academic journey began at Northwestern Polytechnical University in Xi’an, China, where he pursued both his Bachelor's and PhD degrees in Flight Vehicle Design. His undergraduate studies, which spanned from September 2009 to July 2013, laid the foundational knowledge required for his advanced studies. Sinan then continued at the same university to earn his PhD from September 2013 to June 2018. His doctoral research focused on Structure Reliability and Global Sensitivity Analysis, which provided him with a robust framework in reliability sensitivity analysis, aimed at enhancing the dependability and robustness of aerospace structures. This period was crucial for Sinan as it equipped him with the skills and expertise necessary to navigate and contribute to the complex field of aerospace engineering and uncertainty quantification.

Professional Endeavors

After completing his PhD, Sinan embarked on a series of postdoctoral appointments that expanded his research experience across different countries and institutions. He started as a Post-doctor at the University of Stuttgart, Germany, from August 2018 to March 2021, where he worked on global sensitivity analysis of dynamic models with applications to hydrosystems. His tenure in Germany continued with a position at Forschungszentrum Jülich GmbH from February 2020 to March 2021, focusing on the computational frameworks for calibration and validation of mathematical models. In June 2021, Sinan joined the University of Bath in the UK as a Research Associate, engaging in Bayesian Uncertainty Quantification for aerospace composite structures, demonstrating his continued focus on enhancing model predictability and robustness in engineering applications.

Contributions and Research Focus

Dr. Sinan Xiao’s contributions to the field are marked by his deep commitment to advancing the methodologies of uncertainty quantification, reliability analysis, and sensitivity analysis. His doctoral and post-doctoral research have notably contributed to the understanding and improvement of structural reliability and the development of robust modeling techniques in aerospace engineering. His significant projects include the Bayesian inversion of multi-Gaussian fields, the development of generalized global sensitivity analysis methods, and creating computational frameworks that improve the predictive accuracy of complex models. Sinan’s work is characterized by his innovative use of Bayesian statistical methods, Markov chain Monte Carlo simulations, and various other advanced statistical techniques to tackle the challenges in his field.

Accolades and Recognition

Dr. Sinan Xiao's scholarly excellence and research impact have been recognized with several awards and scholarships. He received the Outstanding Doctoral Dissertation award from Northwestern Polytechnical University, acknowledging his exceptional contributions to aerospace engineering research. Additionally, his academic endeavors have been supported by prestigious scholarships such as the China Scholarship Council (CSC) scholarship and the Deutscher Akademischer Austauschdienst (DAAD) scholarship, which facilitated his research collaborations and postdoctoral training in Germany.

Impact and Influence

Dr. Sinan’s research has not only advanced academic knowledge but also provided practical solutions to real-world problems in aerospace structures and beyond. His works are frequently cited in academic circles, underlining their relevance and impact on the field of engineering. Sinan also serves as a reviewer for several esteemed journals, contributing his expertise to uphold the quality and integrity of scholarly publications across various engineering disciplines.

Legacy and Future Contributions

Looking to the future, Sinan Xiao is poised to continue influencing the fields of uncertainty quantification and reliability engineering through both his ongoing research and teaching endeavors. He mentors young scholars and engineers, preparing the next generation to push the boundaries of aerospace engineering and computational analysis further. His interdisciplinary approach and international collaborations are likely to foster innovations that transcend traditional boundaries, enhancing the safety, efficiency, and reliability of engineering applications worldwide. As Sinan progresses in his career, his work is expected to lead to more resilient and adaptive engineering practices, reflective of his deep expertise and forward-thinking mindset.

Citations

A total of 810 citations for his publications, demonstrating the impact and recognition of her research within the academic community.

Citations 810
h-index 17
i10-index 21

Notable Publication

Failure probability estimation with failure samples: An extension of the two-stage Markov chain Monte Carlo simulation Mechanical Systems and Signal Processing, 2024.

Xiao, S., Nowak, W.

Experimental evaluation and uncertainty quantification for a fractional viscoelastic model of salt concrete Mechanics of Time-Dependent Materials, 2023.

Hinze, M., Xiao, S., Schmidt, A., Nowak, W.

Reliability sensitivity analysis based on a two-stage Markov chain Monte Carlo simulation Aerospace Science and Technology, 2022.

Xiao, S., Nowak, W.

Estimation of small failure probability using generalized subset simulation Mechanical Systems and Signal Processing, 2022.

Cheng, K., Lu, Z., Xiao, S., Lei, J.

Optimal design of experiments to improve the characterisation of atrazine degradation pathways in soil European Journal of Soil Science, 2022.

Chavez Rodriguez, L., González-Nicolás, A., Ingalls, B., ...Xiao, S., Pagel, H.

Yihao Chi – Railway Engineering – Best Researcher Award

Published on 27/03/202427/03/2024 by Research Data Analysis

Dr. Yihao Chi - Railway Engineering - Best Researcher Award

Beijing Jiaotong University - China

Author Profile

Early Academic Pursuits

Dr. Yihao Chi's academic journey commenced at Beijing Jiaotong University, where he pursued his undergraduate degree in Railway Engineering. This foundational step laid the groundwork for his subsequent academic pursuits. Subsequently, he continued his education at the same institution, earning his Ph.D. in Railway Engineering. Throughout his academic career, Chi demonstrated a strong inclination towards research, particularly focusing on ballast track within railway engineering.

Professional Endeavors

Dr. Chi's professional endeavors have been centered around addressing critical issues in railway engineering, particularly concerning ballast track. His research interests led him to explore innovative solutions for challenges such as ice and snow splash affecting traffic safety in severe cold areas. Notably, his contributions in this area led to the development of a coupling algorithm, facilitating refined simulations of ice and snow splash processes. Additionally, Chi addressed the "necklace" problem, which posed safety concerns for the Yinxi High-speed Railway under icy conditions.

Contributions and Research Focus

Dr. Chi's contributions extend beyond theoretical research, as evidenced by his innovative introduction of an elastic track sleeper structure. This structural innovation, coupled with the establishment of an elastic track sleeper bed coupling analysis model, effectively tackled the issue of ballast crushing deterioration in actual railway operations. His research efforts provide valuable technical guidance for ensuring the safe operation, maintenance, and repair of ballasted tracks, thereby enhancing railway safety and efficiency.

Accolades and Recognition

Dr. Yihao Chi's contributions to railway engineering have garnered recognition within the academic community. His research output is reflected in a notable cumulative impact factor and a significant number of publications in prestigious journals indexed in SCI, SCIE, Scopus, and Web of Science. Furthermore, Chi has received awards and recognition, including the Best Researcher Award, acknowledging the significance of his contributions to the field.

Impact and Influence

Dr. Chi's research has made a tangible impact on the field of railway engineering, with his findings offering practical solutions to pressing challenges. His work on ice and snow splash simulations and the development of innovative track sleeper structures has the potential to enhance railway safety and operational efficiency, particularly in regions prone to harsh weather conditions. Moreover, his publications and patents underscore his influence in advancing the knowledge frontier within his domain of expertise.

Legacy and Future Contributions

Looking ahead, Yihao Chi's legacy lies in his dedication to advancing railway engineering through rigorous research and innovative problem-solving. His work serves as a foundation for future researchers and practitioners in the field, providing valuable insights and methodologies for addressing ongoing challenges in railway infrastructure. Chi's commitment to excellence and his passion for innovation ensure that his contributions will continue to shape the future of railway engineering, fostering safer, more efficient transportation networks globally.

In summary, Yihao Chi's early academic pursuits, professional endeavors, contributions, accolades, and future aspirations collectively highlight his significant impact and influence in the field of railway engineering. His innovative research, coupled with his dedication to advancing the field, positions him as a distinguished figure in academia and underscores his potential to drive transformative change within the realm of transportation infrastructure.

Notable Publication

The influence of operation times of manual tamping device on ballast bed state Construction and Building Materials, 2024.

Qian, Z., Xiao, H., Zhang, Z., ...Chi, Y., Wei, S.

BallastGAN: Random generation of ballast particle contour based on generative adversarial networks Construction and Building Materials, 2024.

Wang, Y., Xiao, H., Chi, Y., Zhang, Z., Qian, Z.

Study on the splashing behavior of high-speed railway ballast in ice and snow environment: Analysis of the influence of the train speed, ice mass and striking position Construction and Building Materials, 2024

Xiao, H., Chi, Y., Zhang, Z., Nadakatti, M.M., Wei, S.

Response analysis and effect evaluation of dynamic stabilization for ballasted track Construction and Building Materials, 2023.

Zhang, Z., Xiao, H., Wang, Y., Chi, Y., Nadakatti, M.M.

Field experiment and numerical simulation investigation on the mechanical properties of ballast bed with elastic sleepers Construction and Building Materials, 2023.

Chi, Y., Xiao, H., Zhang, Z., Wang, Y.

Numerical simulation of the three-sleeper asynchronous tamping operation of ballast bed based on the virtual unit module and polyhedral ballast model Transportation Geotechnics This link is disabled, 2023.

Zhang, Z., Xiao, H., Wang, Y., ...Nadakatti, M.M., Jin, J.

International Research Data Analysis Excellence Awards | Award Winners 2023

Published on 06/12/202306/12/2023 by Research Data Analysis

Arash Azadeh | Best Researcher Award Winner 2023 🏆

Arash Azadeh : Interdisciplinary Data Insights👨‍🎓

Congratulations to Arash Azadeh of Interdisciplinary Data Insights for being honored with the Best Researcher Award at the International Research Data Analysis Excellence Awards! 🏆 Your dedication to excellence in data analysis has truly set a benchmark for researchers worldwide. Cheers to your outstanding achievements and contributions to the field!

Professional profile

Early Academic Pursuits:

Arash Azadeh's academic journey commenced with an undergraduate degree in Civil Engineering from Ferdowsi University of Mashhad (FUM), Iran. He further pursued a Master's degree in Structural Engineering from FUM and later obtained a Ph.D. in Civil Engineering from the Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Brazil. Arash also pursued post-doctorate studies in Materials at the University of São Paulo (USP), Brazil.

Professional Endeavors:

Arash Azadeh's professional experience spans several roles, including serving as a Senior Structure Engineer in the offshore team at PetroPars Co. His responsibilities included overseeing structural documents issuance, construction supervision, and project coordination for offshore installations. Additionally, he worked as an Industrial Structures Designer at Poolad Co., contributing to the design of various industrial structures and substations.

Contributions and Research Focus:

Arash Azadeh has made significant contributions to the field of Civil Engineering, particularly in the area of bamboo research. His work is reflected in a series of journal articles and conference papers exploring topics such as bamboo shear test methods, bamboo densification effects, and the use of machine learning in bamboo phase quantification. His research emphasizes the influence of environmental factors, such as heat, on the mechanical properties of bamboo.

Accolades and Recognition:

Arash Azadeh's research has been recognized through numerous publications in reputable journals, including "Construction and Building Materials," "European Journal of Wood and Wood Products," and "Cellulose." His involvement in international conferences and workshops further demonstrates recognition within the academic community.

Impact and Influence:

Arash Azadeh's work in bamboo research has implications for sustainable construction materials. By investigating the mechanical properties of bamboo and its responses to environmental factors, his research contributes to the understanding of bamboo as a functional material in construction and engineering.

Legacy and Future Contributions:

As a researcher and educator, Arash Azadeh has shared his expertise through seminars, workshops, and lectures, both nationally and internationally. His research focus on non-conventional materials and sustainable development aligns with the evolving needs of the construction industry. Arash's legacy lies in his dedication to advancing knowledge in materials engineering and his potential to inspire future generations in the field.

In summary, Arash Azadeh's academic and professional journey reflects a commitment to research excellence, particularly in the innovative use of bamboo as a construction material, showcasing a blend of traditional and contemporary engineering principles.