Articles in Peer-Reviewed Journals
Verma, D., Mumm, O., & Carlow, V. M. (2021). Identifying Streetscape Features Using VHR Imagery and Deep Learning Applications. Remote Sensing, 13(17), 3363.
Verma, D., Jana, A., & Ramamritham, K. (2020). Predicting human perception of the urban environment in a spatiotemporal urban setting using locally acquired street view images and audio clips. Building and Environment, 186, 107340.
Verma, D., Jana, A., & Ramamritham, K. (2019). Machine-based understanding of manually collected visual and auditory datasets for urban perception studies. Landscape and Urban Planning, 190, 103604.
Verma, D., Jana, A., & Ramamritham, K. (2019). Identifying degrees of built arrangement in Indian cities through mid-resolution satellite imagery and Convolutional Neural Networks. In 2019 International Conference on Intelligent Computing and Remote Sensing (ICICRS) (pp. 1-6). IEEE.
Verma, D., Jana, A., & Ramamritham, K. (2019). Transfer learning approach to map urban slums using high and medium resolution satellite imagery. Habitat International, 88, 101981.
Verma, D., Jana, A., & Ramamritham, K. (2019). Classification and mapping of sound sources in local urban streets through AudioSet data and Bayesian optimized Neural Networks. Noise Mapping, 6(1), 52-71.
Verma, D., Jana, A., & Ramamritham, K. (2018). Classification of the structure of cities through mid-resolution satellite imagery and patch based neural networks. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences.
Verma, D., Jana, A., & Ramamritham, K. (2018). Quantifying urban surroundings using deep learning techniques: a new proposal. Urban Science, 2(3), 78.
Books and Book Chapters (2014-2019)
Verma, D., Varghese, V., & Jana, A. (2021). Applicability of Big Data for transportation planning and management. In Advances in Urban Planning in Developing Nations (pp. 99-110). Routledge India.
Verma, D., Jana, A., & Ramamritham, K. (2021). Analyzing New Frontiers in Urban Preference and Perception Research. In Geospatial Technology and Smart Cities (pp. 117-133). Springer, Cham.
Verma, D., & Jana, A. Urban perception experiments: Transition from traditional to advanced methods. In Advances in Urban Planning in Developing Nations (pp. 18-49). Routledge India.
Verma, D., & Jana, A. (2021). Urban Envelope: Representing Audio and Visual Features Extracted from Deep Learning Techniques. Urban Science and Engineering: Proceedings of ICUSE 2020, 121, 231.
Verma, D., Jana, A., & Ramamritham, K. (2019). Artificial Intelligence and Human Senses for the Evaluation of Urban Surroundings. In International Conference on Intelligent Human Systems Integration (pp. 852-857). Springer, Cham.
Verma, D., Jana, A., & Ramamritham, K. (2018) How diverse are the neighbourhoods? a diversity index to assess land use mix through open source and online datasets. Regional Science Association International.
Other Publications
Verma, D., & Jana, A. (2019). LULC classification methodology based on simple Convolutional Neural Network to map complex urban forms at finer scale: Evidence from Mumbai. arXiv preprint arXiv:1909.09774..
