1. Dabra, A., *Kumar, V., Aryal, J. (2025). Road extraction in diverse urban environments using UAV data and nDSM perturbations: A case of Bhopal, India, Remote Sensing Applications: Society and Environment, Volume 37, 101465, ISSN 2352-9385, https://doi.org/10.1016/j.rsase.2025.101465.

2. Ramalingam, S. P., & Kumar, V. (2025). Building usage prediction in complex urban scenes by fusing text and facade features from street view images using deep learning. Building and Environment, 267(B), 112174. ISSN 0360-1323. https://doi.org/10.1016/j.buildenv.2024.112174

3. Ritik Bhardwaj, Arpita Bhargava, Vaibhav Kumar, INFED: Enhancing fire evacuation dynamics through 3D congestion-aware indoor navigation framework,

Simulation Modelling Practice and Theory, Volume 136, 2024, 103010, https://doi.org/10.1016/j.simpat.2024.103010.

4. Lohani, B., *Khan, P., Kumar, V. et al. Role of Simulated Lidar Data for Training 3D Deep Learning Models: An Exhaustive Analysis. J Indian Soc Remote Sens (2024). https://doi.org/10.1007/s12524-024-01905-2

5. Kumar, V., Nandy, A., Soni, V. et al. Powerline extraction from aerial and mobile LiDAR data using deep learning. Earth Sci Inform (2024). https://doi.org/10.1007/s12145-024-01310-w

6. Kuriyal, A., *Kumar, V. & Lohani, B. pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation. SN COMPUT. SCI. 5, 272 (2024). https://doi.org/10.1007/s42979-024-02627-5

7. Vivek Kumar Singh, Vaibhav Kumar*, Enhancing emergency vehicle access in dense settlements of Mumbai using high-resolution satellite imagery: A deep learning approach, International Journal of Disaster Risk Reduction: Elsevier, 2023, 104212, ISSN 2212-4209, https://doi.org/10.1016/j.ijdrr.2023.104212.

8. Abhilash Singh, Sharad Patel, Vipul Bhadani, Vaibhav Kumar, Kumar Gaurav.  (2023).  AutoML-GWL: Automated machine learning model for the prediction of groundwater level, Engineering Applications of Artificial Intelligence: Elsevier, https://doi.org/10.1016/j.engappai.2023.107405.

9. Nihal A., Vaibhav Kumar*, Generation Of Dense Urban Features Using Conditional GAN, 2023, https://doi.org/10.21203/rs.3.rs-2885573/v1.

10. S.P. Ramalingam, *Kumar, V., Automatizing the generation of building usage maps from geotagged street view images using deep learning, Building and Environment: Elsevier, 2023, 110215, ISSN 0360-1323, https://doi.org/10.1016/j.buildenv.2023.110215.

11. Priyadarshi, M., Maratha, M., Anish, M., *Kumar, V. Dynamic routing for efficient waste collection in resource constrained societies. Scientific Reports. 13, 2365 (2023). https://doi.org/10.1038/s41598-023-29593-x

12. Dabra, A., *Kumar, V. Evaluating green cover and open spaces in informal settlements of Mumbai using deep learning. Neural Computing & Application (2023). https://doi.org/10.1007/s00521-023-08320-7

13. Kumar, V., (2022). Spatiotemporal sentiment variation analysis of geotagged COVID-19 tweets from India using a hybrid deep learning model, Scientific Reports, 12, 1849. https://doi.org/10.1038/s41598-022-05974-6

14. Kumar V., Singh, V.K., Gupta, K. et al.  (2021).  Integrating Cellular Automata and Agent-Based Modeling for Predicting Urban Growth: A Case of Dehradun City. J Indian Soc Remote Sens. https://doi.org/10.1007/s12524-021-01418-2.

1. Kumar H., Chopra S., *Kumar, V. (2025) Vid2Pos: Gaussian S platting Approach for Localization in Outdoor Environments using LiDAR Point clouds. IGARSS 2025. (Accepted)

2. Nihal, A., & *Kumar, V. (2024). Generation of dense urban features using conditional GANs. In Proceedings of the International Conference on Pattern Recognition (ICPR). (In Press).

3.  Limba, M., & *Kumar, V. (2024). Deep learning-based building footprint extraction from UAV images using fused spectral and elevation information. In Proceedings of the International Conference on Pattern Recognition (ICPR). (In Press).

4. Naval, A., *Kumar, V., & Gaurav, K. (2023). Quantifying vertical farming potential using digital twins. In M. Tuba, S. Akashe, & A. Joshi (Eds.), ICT Systems and Sustainability. ICT4SD 2023. Lecture Notes in Networks and Systems, vol 765. Springer, Singapore. https://doi.org/10.1007/978-981-99-5652-4_38 

5.   *Kumar, V., & Singh, V. (2023). Classification of minor roads inside dense informal settlements of Mumbai using machine learning. In ICT Infrastructure and Computing. ICT4SD 2023. Lecture Notes in Networks and Systems, vol. 754. Springer, Singapore. https://doi.org/10.1007/978-981-99-4932-8_30

6. Rishi Gupta, Vaibhav Kumar. Sound Classification in Indian Cities Using Multi-Label Data and Transfer Learning, ICLR 2024, https://openreview.net/pdf?id=UWszefaphF.

7. Surya Prasath Ramalingam, Vinay Kumar, Vaibhav Kumar*​, Building Usage Classification via Interpretation of Visually Grounded Scene Texts using LLMs​. IndoML, 2023., IIT Bombay. (Poster).  http://dx.doi.org/10.13140/RG.2.2.12884.37760 

8. Anurag Nihal, Vaibhav Kumar*. Semantic Sample Mixing Based Unsupervised Domain Adaptation for Semantic Segmentation of 3D LiDAR Point Clouds, IndoML, 2023., IIT Bombay. (Poster). http://dx.doi.org/10.13140/RG.2.2.12674.66248 

9. Mayur Mankar, Vaibhav Kumar*. 3D Point Cloud Semantic Segmentation of Indoor Scenes using Few-shot Learning. IndoML, 2023., IIT Bombay. (Poster).Link

10. Naval, A., Kumar, V.*, Gaurav, K. (2023). Quantifying Vertical Farming Potential Using Digital Twins. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. ICT4SD 2023. Lecture Notes in Networks and Systems, vol 765. Springer, Singapore. https://doi.org/10.1007/978-981-99-5652-4_38.

11. Kumar V., Singh V. (2023). Classification of Minor Roads Inside Dense Informal Settlements of Mumbai using Machine Learning, ICT Infrastructure and Computing. ICT4SD 2023. Lecture Notes in Networks and Systems, vol 754. Springer, Singapore. Link.

12. Kuriyal, Abhishek, and Vaibhav Kumar. ICLR (2023). “PGS-CAM: INTERPRETABLE LIDAR POINT CLOUD SEMANTIC SEGMENTATION VIA GRADIENT BASED LOCALIZATION.”Link.

13. Panda, Arkapal, Vaibhav Kumar, and Tanmay Basu. ICLR (2023). “AN ENSEMBLE LEARNING FRAMEWORK FOR VISIBILITY PREDICTION IN INDO-GANGETIC REGION.” https://openreview.net/pdf?id=WkDqZD3VRo.

14. Bhadani, V., Singh, A., *Kumar, V., and Gaurav, K.: Machine learning models to predict groundwater level in a Semi-arid river catchment, Central India, EGU General Assembly (2023), Vienna, Austria, 24–28 Apr 2023, EGU23-12629, https://doi.org/10.5194/egusphere-egu23-12629, 2023.

15.  Singh V.K., Kumar V., Jana A. (2021) Spatial Distribution of Socioeconomic Factors and Its Impact on Urban Land Use Dynamics: An Agent Based Modeling Approach. Urban Science and Engineering. Lecture Notes in Civil Engineering, vol 121. Springer, Singapore, pp. 27-38. Doi: https://doi.org/10.1007/978-981-33-4114-2_3

16. Kumar V., A. Sarkar and A. Jana, "Big Data and WebGIS for Formulating Health Care Policy in India," 2021 IEEE Conference on Norbert Wiener in the 21st Century (21CW), 2021, pp. 1-6, doi: 10.1109/21CW48944.2021.9532567. 

1. Dhakar, P.., & Kumar, V. . (2024). Bridging the Gap: Evaluating the Generalizability of Simulated Data for Urban Feature Classification Using Deep Learning. Calibrating Urban Livability in the Global South, 452–464. https://doi.org/10.9734/bpi/mono/978-81-971889-1-6/CH33

2. Chachondhia, P. ., Sarkar, S. ., & Kumar, V. . (2024). Quantifying Wetland Loss in Bhopal Amidst Urban Sprawl: A Machine Learning Approach Using Multispectral Imagery. Calibrating Urban Livability in the Global South, 510–520. https://doi.org/10.9734/bpi/mono/978-81-971889-1-6/CH38

3. Kumar V., Rai S.K., Jana A., Ramamritham K., (2021). An Information and Communication Technology (ICT) driven Disaster Management System: A case of firefighting in Mumbai, Book: Geospatial Technology and Smart Cities, Publisher: Springer, 315-335. Doi: https://doi.org/10.1007/978-3-030-71945-6_18.

4. Kumar V., Jana A., (2021). Coverage or response time: A performance study of fire station location models using network analysis, Advances in Urban Planning in Developing Nations. Routledge India,  pp. 82–99. Doi: https://doi.org/10.4324/9781003091370-4

1. Dabra, Ayush; Upadhyay, Vaibhav (2023), “Manually Annotated High Resolution Satellite Image Dataset of Mumbai for Semantic Segmentation”, Mendeley Data, V1, doi: 10.17632/xj2v49zt26.1

2. Gupta, Rishi; Nihal, Anurag; Upadhyay, Vaibhav (2023), “Multi label Audiotory Dataset from Diverse Indian Urban Environments”, Mendeley Data, V1, doi: 10.17632/4553jk9dvz.1