Abhijeet Das | Water Resource Engineering | Excellence in Innovation

Published on 01/09/202501/09/2025 by Research Data Analysis

Dr. Abhijeet Das | Water Resource Engineering | Excellence in Innovation

C.V. Raman Global University (CGU), Bhubaneswar, Odisha | India

Dr. Abhijeet Das is a dynamic and highly skilled civil engineering professional specializing in Water Resource Engineering, with extensive expertise in watershed hydrology, hydrological modeling, and advanced engineering design. He has contributed significantly to the development and optimization of water management systems, integrating innovative methodologies with emerging technologies like machine learning, GIS, and remote sensing. With a vision to address global water resource challenges, Dr. Das has been actively engaged in collaborative research and consultancy projects across multiple countries, enhancing water quality assessment, environmental impact studies, and sustainable infrastructure planning.

Professional Profiles

SCOPUS

ORCID

Education

Dr. Das holds a Ph.D. in Water Resource Engineering from C.V. Raman Global University, Bhubaneswar. He completed his M-Tech in Water Resource Engineering from Biju Patnaik University of Technology (BPUT), Rourkela, and a B-Tech in Civil Engineering from the same university. His academic foundation is rooted in rigorous research and practical exposure, enabling him to integrate theoretical knowledge with real-world applications in hydrological systems, climate change impact studies, and sustainable water management.

Experience

Dr. Das possesses over a decade of cumulative professional experience encompassing project consultancy, teaching, research, and industry exposure. He served as a Project Consultant at Madhu Smita Design & Engineers Studio, where he worked on large-scale projects related to water resource planning and GIS-based analysis. His teaching experience spans prestigious institutions such as IGIT Sarang and CET Bhubaneswar, where he mentored students in civil and water resource engineering disciplines. Additionally, he has gained valuable industrial exposure through internships and consultancy projects focusing on flood management, water quality optimization, and environmental sustainability.

Research Interests

His research interests include watershed hydrology, climate change impact assessment, drought and flood analysis, Food-Energy-Water (FEW) Nexus, machine learning applications in water resource engineering, remote sensing and GIS-based modeling, numerical and simulation-optimization modeling, water quality control, environmental impact assessment, and geoinformatics. Dr. Das is passionate about integrating artificial intelligence techniques like artificial neural networks and fuzzy logic to enhance predictive accuracy in water management systems.

Awards and Recognitions

Dr. Das has been honored with multiple Best Paper Awards at reputed national and international conferences. His research on water quality assessment, pollution source investigation, and surface water potential zone characterization has been recognized across forums such as ISDMME, ICSEEGT, RASTEMS, TRACE, and ICET. He has also presented award-winning posters on sustainable water quality demarcation and innovative water management techniques. These accolades reflect his commitment to advancing sustainable water resource engineering through cutting-edge research and practical applications.

Publications

An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance. (2025). Discover Environment.

Reimagining biofiltration for sustainable industrial wastewater treatment. (2025).

A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in Mahanadi River Basin, Odisha, India. (2025). Discover Sustainability.

Evaluation and prediction of surface water quality status for drinking purposes using an integrated water quality indices, GIS approaches, and machine learning techniques. (2025). Desalination and Water Treatment.

Bioplastics: a sustainable alternative or a hidden microplastic threat? (2025). Innovative Infrastructure Solutions.

Conclusion

Dr. Abhijeet Das represents a new generation of civil engineering professionals dedicated to sustainable water management and environmental conservation. His career integrates academic excellence, industry-focused research, and impactful contributions to international collaborative projects. With his multidisciplinary expertise, he aims to contribute to the global mission of ensuring water security, optimizing resource utilization, and promoting climate-resilient infrastructure. His work continues to bridge the gap between scientific innovation and real-world challenges, fostering sustainable development across diverse regions.

Akhilesh Chepuri | Sustainability Engineering | Young Researcher Award

Published on 21/08/202521/08/2025 by Research Data Analysis

Dr. Akhilesh Chepuri | Sustainability Engineering | Young Researcher Award

Gandhi Institute of Technology and Management Hyderabad | India

Dr. Akhilesh Chepuri is an accomplished academician and researcher serving as an Assistant Professor and Head of the Department of Civil Engineering at GITAM School of Technology, Hyderabad. With extensive expertise in transportation engineering, he has contributed significantly to the fields of traffic simulation, modeling, transportation safety, and urban planning. Dr. Chepuri is recognized for his impactful teaching, research, and leadership in civil engineering education. His career reflects a consistent pursuit of academic excellence and innovative research solutions to enhance traffic management and sustainable transportation systems.

Professional Profiles

SCOPUS

ORCID

Education

Dr. Chepuri has pursued a robust academic path in civil engineering, specializing in transportation engineering and planning. He holds a Bachelor of Technology in Civil Engineering, a Master of Technology in Transportation Engineering and Planning from a nationally reputed institute, and a Doctorate in Civil Engineering with a focus on transportation systems. Throughout his academic journey, he consistently achieved top positions and accolades for his outstanding academic performance, including securing the first rank during his postgraduate studies. His education provided him with strong analytical, theoretical, and practical knowledge in traffic simulation, safety, and infrastructure design.

Experience

Dr. Chepuri’s professional journey is marked by a combination of teaching, research, and administrative responsibilities. He began his career as a teaching assistant during his postgraduate and doctoral research tenure, where he gained hands-on experience mentoring students and conducting technical workshops. He later served as an Assistant Professor at Sreenidhi Institute of Science and Technology, Hyderabad, before taking on his current role at GITAM School of Technology, where he also heads the Department of Civil Engineering. His contributions include curriculum development, project supervision, guest lectures, and organizing specialized training sessions on advanced transportation software and systems.

Research Interests

Dr. Chepuri’s research primarily focuses on traffic simulation and modeling, transportation planning, and road safety management. He has a keen interest in the development and application of intelligent transportation systems, sustainable urban transport solutions, and data-driven methods to improve traffic flow and reduce congestion. His work also explores the integration of simulation tools like VISSIM, VISUM, and advanced data analysis techniques to enhance transportation infrastructure and safety standards.

Awards and Recognitions

Throughout his career, Dr. Chepuri has received numerous accolades for his academic and research excellence. He was awarded a gold medal for securing the first rank in his master’s program and has won best paper awards at prestigious national conferences. His international presence is marked by multiple travel grants, enabling him to present his research at leading global forums, including the Annual Meeting of the Transportation Research Board in Washington, D.C., USA. He has also been honored with a distinguished alumni award from his high school and recognized for his significant contributions to research advancement by esteemed institutions. Additionally, he has served as a reviewer for reputed international journals and conferences, further cementing his status as an authority in his field.

Publications

Chepuri, A., Kulakarni, R., Reddy, S., Bains, M.S., Arkatkar, S.S., Joshi, G. (2015). “Evaluation of BRTS Corridor in India Using Microscopic Simulation: A Case Study in Surat City” in Proceedings of Eastern Asia Society for Transportation Studies.

Raju, N., Mishra, A., Chepuri, A., Arkatkar, S.S., Joshi, G. (2017). “A Simulation Approach for Examining Designed Truck Terminal Operations for Forecasted Demand at Busy Sea Port” in Journal of Eastern Asian Societies for Transportation Studies (EASTS) .

Chepuri, A., Borakanavar, M., Amrutsamanvar, R., Arkatkar, S.S., Joshi, G. (2018). “Examining Travel Time Reliability under Mixed Traffic Conditions: A Case Study of Urban Arterial Roads in Indian Cities” in Asian Transport Studies.

Chepuri, A., Jairam, R., Arkatkar, S.S., Joshi, G., Pulugurtha, S.S. (2018). “Examining Travel Time Reliability-Based Performance Indicators for Bus Routes Using GPS-Based Bus Trajectory Data in India” in ASCE Journal of Transportation Engineering, Part A: Systems.

Chepuri, A., Wagh, A., Arkatkar, S.S., Joshi, G. (2018). “Study of Travel Time Variability Using Two-Wheeler Probed Data – An Indian Experience” in Proceedings of the Institution of Civil Engineers – Transport.

Conclusion

Dr. Akhilesh Chepuri stands out as a dynamic and dedicated professional in civil and transportation engineering. His work bridges the gap between academic research and practical implementation, contributing to advancements in traffic safety, intelligent transportation systems, and urban infrastructure planning. As an educator, researcher, and mentor, he continues to inspire future civil engineers while actively shaping innovative transportation solutions for modern cities. His achievements reflect a deep commitment to academic leadership, research excellence, and the development of sustainable and efficient transportation networks.

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.