Amit Sain | Transportation Engineering | Best Researcher Award

Mr. Amit Sain | Transportation Engineering | Best Researcher Award

Malaviya National Institute of Technology Jaipur, India

Mr. Amit Sain is a dedicated civil engineering researcher specializing in transportation engineering and sustainable infrastructure. He holds advanced academic training in civil and transportation engineering and is pursuing doctoral research focused on pavement performance and finite element analysis. With strong expertise in modelling, statistical analysis, and sustainable materials, he has contributed to numerous high-impact publications and patents. His work emphasizes innovative solutions using bamboo, nanomaterials, and decision-making techniques. Recognized with a Best Paper Award, he continues to advance research that promotes sustainable and resilient infrastructure development.

Citation Metrics (Scopus)

80
60
40
20
0

Citations
69

Documents
22

h-index
5

Citations

Documents

h-index

Featured Publications


Optimization of highway performance and safety by integrated multi-criteria decision-making techniques


International Journal of Pavement Research and Technology (Cited by 15 · Year: 2026)


Enhancing thermal behaviour of concrete pavement by incorporating vermiculite


Materials Today: Proceedings (Cited by 14 · Year: 2023)


Treatment of bamboo for sustainable construction practise: A comprehensive review


IOP Conference Series: Earth and Environmental Science (Cited by 11 · Year: 2024)

Archana Mohan | Electronics Engineering | Research Excellence Award

Mrs. Archana Mohan | Electronics Engineering | Research Excellence Award

Amrita Vishwa Vidyapeetham | India

Archana Mohan is a dedicated researcher and academician in Electrical and Electronics Engineering, currently pursuing her doctoral studies with a strong focus on power systems, e-mobility, and intelligent control applications. With a solid educational background spanning engineering, power systems, and management studies, she has built interdisciplinary expertise that strengthens her analytical and problem-solving capabilities. Her professional experience includes serving as a Teaching Assistant and Research Assistant in advanced laboratories related to power systems, robotics, embedded systems, autonomous systems, and electric vehicles, where she mentors students, develops experimental setups, and contributes to project execution. Her research contributions span transient stability modeling, hybrid electric vehicle architectures, V2X communication, state-of-charge estimation, air-quality integrated mobility systems, and optimization using AI-based techniques. She has authored multiple publications indexed in reputed databases with 19 citations, an h-index of 3, and i10-index of 0, reflecting the growing impact of her work. Her involvement in international conferences and journal publications highlights her active engagement with the global research community. She has also contributed to academic quality initiatives and technical events while earning recognition for her academic excellence and active participation. Her research interests continue to evolve toward sustainable mobility, intelligent power systems, and data-driven engineering solutions.

Profile: Google Scholar

Featured Publications

Mohan, A., & Manitha, P. V. (n.d.). Hybrid Electric Vehicles with V2X Topology and Smart Energy Management: An Overview of Their Potential and Limitations. In 2nd International Conference on Futuristic Technologies (INCOFT).

Mohan, A., & Vidya, M. S. (n.d.). Artificial Neural Network Model of an IEEE 5 Bus System under Transient Conditions. In Third International Conference on Smart Systems and Inventive Technology.

Mohan, A., Avinash, R., Manitha, P. V., & Deepa, K. (n.d.). The Impact of PID Controllers on the Performance of Electric Vehicle Speed Control and SoC. In IEEE North Karnataka Subsection Flagship International Conference (NKCon).

Mohan, A., Manitha, P. V., & Subramaniam, U. (n.d.). A comprehensive review on the integration of air quality monitoring systems with hybrid electric vehicles for emission control in smart cities. Science of the Total Environment, 994, 180022.

Mohan, A., Manitha, P. V., & Subramaniam, U. (n.d.). Comparative analysis of state of charge estimation methods for Li-ion batteries using Kalman filter variants and machine learning techniques for electric vehicle applications. IEEE Access.