Anshika Singh | Predictive Analytics | Best Researcher Award

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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

Umair Jalil Malik – Application of ML in Civil Engineering – Young Scientist Award 

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Mr. Umair Jalil Malik - Application of ML in Civil Engineering - Young Scientist Award 

National University of Sciences & Technology - Pakistan

Author Profile

Early Academic Pursuits

Mr. Umair Jalil Malik embarked on his academic journey with a Bachelor of Science in Civil Engineering from the prestigious National University of Science and Technology (NUST), Islamabad, Pakistan. During his undergraduate years from September 2019 to June 2023, he demonstrated exceptional aptitude in structural engineering, majoring in Structural Engineering, and maintained an outstanding CGPA of 3.81/4.00. His academic pursuits were characterized by a keen interest in innovative and sustainable concrete technology, evidenced by his thesis titled "Evaluation of Effective Stiffness of High-performance Fiber reinforced cement composites (HPFRCC)/Engineered Cementitious Composite at the Material Level, cross-section Level, and Structural Level."

Professional Endeavors

Mr. Umair's professional journey reflects a commitment to excellence and a passion for research and development in civil engineering. He engaged in various roles, including his current position as a Laboratory Engineer at NUST, Pakistan, where he delivers lectures, advises students, and manages lab operations. His tenure as a Junior Engineer at INN Consulting Engineers and a Research Assistant under the supervision of Dr. Rao Arsalan Khushnood showcased his versatility and capacity for in-depth research, data analysis, and project documentation.

Contributions and Research Focus

Mr. Umair's research interests span a wide array of topics crucial to advancing civil engineering practices. Notably, his research articles and publications demonstrate a focus on cutting-edge areas such as High-performance Fiber reinforced cement composites (HPFRCC)/Engineered Cementitious Composite (ECC), Engineering Geopolymer Composite (EGC), innovative and sustainable concrete technology including 3D Printed Concrete, Micro-Mechanical Modeling, and applications of Machine Learning in civil engineering. His contributions to journals and ongoing research projects underscore his dedication to advancing knowledge and technology in these critical domains.

Accolades and Recognition

Mr. Umair's academic and professional achievements have been recognized through various honors and awards. He secured the 5th position in the National Competition on Design of long-span buildings organized by NED UET Karachi, Pakistan, showcasing his prowess in structural design and seismic evaluation. Additionally, his consistent academic performance earned him multiple merit-based scholarships at NUST. Furthermore, he received research funding for his Final Year Project from Prime Engineering & Testing Consultants, further validating the significance of his work in the industry.

Impact and Influence

Mr. Umair's contributions extend beyond academic and professional realms, as evidenced by his active involvement in volunteer experiences and leadership roles within various societies and organizations. His commitment to social responsibility, evident through initiatives such as providing education to street children and organizing donation drives, highlights his holistic approach to making a positive impact on society.

Legacy and Future Contributions

Looking ahead, Umair is poised to continue making significant contributions to the field of civil engineering. His diverse skill set, encompassing technical expertise, research acumen, and leadership abilities, positions him as a catalyst for innovation and progress in the industry. Through ongoing research endeavors, collaborative projects, and mentorship roles, Umair is set to leave a lasting legacy in advancing sustainable infrastructure development, seismic resilience, and cutting-edge construction technologies, thereby shaping the future landscape of civil engineering both locally and globally.

Notable Publication