<p>My academic journey has been shaped by an interdisciplinary interest in the built environment, geospatial technologies, and sustainable infrastructure. With formal training in Civil Engineering, advanced specialization in Remote Sensing and GIS, and doctoral research focused on hyperspectral remote sensing and machine learning, my work aims to integrate Earth observation technologies with urban and infrastructure systems. I seek to contribute to teaching and research at NICMAR University by introducing geospatial intelligence into construction and infrastructure education.</p>
<p>I completed my PhD from the Indian Institute of Technology Roorkee, where my research focused on the characterization of urban impervious surfaces using hyperspectral satellite data and machine learning techniques. My work explored single-frame super-resolution approaches for hyperspectral imagery, dimensionality reduction methods, and spectral unmixing techniques for extracting detailed information about urban materials and natural cover. These methods help improve spatial understanding of urban landscapes and support applications such as infrastructure monitoring, environmental assessment, and urban planning. My research has resulted in several peer-reviewed publications in international journals including <em>International Journal of Remote Sensing</em>, <em>Advances in Space Research</em>, and <em>Environmental Monitoring and Assessment</em>.</p>
<p>My academic background combines engineering and geospatial science. I earned my B.Tech. in Civil Engineering from Nirma University and later completed my M.Tech. in Remote Sensing and GIS with specialization in Urban and Regional Studies through the Indian Institute of Remote Sensing (ISRO) and Andhra University. This combination has enabled me to approach infrastructure challenges through both engineering and spatial analytical perspectives, which is increasingly important in modern construction and urban development.</p>
<p>Teaching has been an important part of my academic career. I have served as an instructor for a postgraduate course on Artificial Intelligence and Machine Learning and have contributed lectures and practical sessions in national training programs on geospatial science and technology. During my doctoral studies at IIT Roorkee, I also worked as a teaching assistant for courses in geomatics engineering and surveying. These experiences have allowed me to develop a teaching approach that emphasizes conceptual clarity, practical applications, and hands-on training with geospatial tools such as QGIS, ArcGIS, ENVI, and Google Earth Engine.</p>
<p>Professionally, I have worked as a Postdoctoral Researcher at the Indian Institute of Technology Madras and currently serve as a Junior PhD Researcher at the University of Valencia in Spain. These roles have provided opportunities to collaborate on interdisciplinary research involving Earth observation data processing, machine learning, and geospatial analysis for environmental and urban applications.</p>
<p>I believe that remote sensing and GIS can significantly contribute to sustainable construction and infrastructure planning. Satellite data and spatial analytics can support environmental impact assessment, land-use monitoring, and climate-responsive infrastructure development. By integrating these tools into construction education, students can develop the ability to make data-driven decisions for sustainable infrastructure systems.</p>
<p>NICMAR University&rsquo;s focus on construction management, infrastructure development, and industry-oriented education makes it an ideal platform to bridge geospatial technologies with the built environment sector. Through teaching, research collaboration, and curriculum development, I hope to contribute to strengthening the role of geospatial intelligence in construction education and sustainable infrastructure development.</p>