Nitesh Pandey | Predictive Modelling | Young Innovator Award

Published on by Young Scientists Awards

Mr. Nitesh Pandey | Predictive Modelling | Young Innovator Award

Jaypee University of Engineering and Technology | India

Mr. Nitesh Pandey is an innovator and multidisciplinary researcher focused on energy systems, predictive modelling, and sustainable technologies, with a developing scholarly footprint reflected by 7 citations across 3 research documents and an h-index of 1. His research demonstrates growing academic visibility and early citation impact within engineering and energy-focused domains. He integrates artificial intelligence, machine learning, and data-driven engineering to address energy efficiency and climate-resilient solutions. He has contributed to generative design, topology optimization, and additive manufacturing for sustainable mechanical and robotic systems. His work spans predictive modelling in fluid dynamics, thermal systems, Rankine cycles, and renewable energy technologies. He has advanced intelligent automation through sensor fusion, IoT-enabled systems, and reliability-based modelling of industrial robots. Overall, his research profile reflects measurable scholarly recognition and strong potential for continued high-impact contributions.

Citation Metrics (Scopus)
10

8

6

4

2

0

Citations
7

Documents
3

h-index
1


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Featured Publications

Conventional Solar Still Augmented with Saltwater Bottles: An Experimental Study

Journal of Solar Energy Research, 2024 · 9 Citations

Python-Powered Structural Analysis: Modeling and Solving 2D Truss Systems

Computer Applications in Engineering Education, 2025

Application of Finite Element Analysis in Assessing Mechanical Chair Design

Journal of Computational Mechanics, Power System and Control, 2024

Diana Konarbay | Electrochemistry | Young Scientist Award

Published on by Young Scientists Awards

Ms. Diana Konarbay | Electrochemistry | Young Scientist Award

Abai Kazakh National Pedagogical University | Kazakhstan

Ms. Diana Konarbay is an emerging researcher in electrochemistry with a strong focus on electrochemical sensors and environmental analysis. Her research centers on the development of carbon-based and nanomaterial-modified electrodes for heavy metal detection. She has contributed to peer-reviewed international and national journals addressing analytical strategies for water quality monitoring. Her work highlights the application of MXene nanocomposites and advanced nanomaterials in sensor performance enhancement. She demonstrates solid expertise in electrochemical techniques such as cyclic voltammetry, impedance spectroscopy, and amperometric methods. Her studies support sustainable solutions for environmental electrochemistry challenges. Overall, her research profile reflects a growing contribution to electrochemical sensing and analytical chemistry.

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