Publications

2023

• Rajat C. Shinde, Surya S. Durbha; Deep Convolutional Compressed Sensing-Based Adaptive 3D Reconstruction of Sparse LiDAR Data: A Case Study for Forests. Remote. Sens. 15(5): 1394 (2023)
• Rajat C. Shinde, Surya S. Durbha; Adaptive LiDAR Reconstruction by Convolutional Compressive Sensing Network and Multivariate Empirical Mode Decomposition. Signal Process. 213: 109194 (2023)
• Pratyush V. Talreja, Surya S. Durbha, Rajat C. Shinde, Shreelakshmi C. R; Unsupervised Domain Adaptation Using Generative Adversarial Network for Extreme Events Monitoring. IGARSS 2023: 1672-1675
• Keshav Agrawal, Surya S. Durbha, Pratyush V. Talreja, Nivedita Nukavarapu; Deep Reinforcement Learning Driven Critical Infrastructure Protection During Extreme Events. IGARSS 2023: 2540-2543
• Archana G. Pai, Krishna Mohan Buddhiraju, Surya S. Durbha; Texture Based LULC Classification of Images Using QSVM. IGARSS 2023: 4423-4426
• Shreelakshmi C. R, Surya S. Durbha, Rajat C. Shinde, Pratyush V. Talreja, Gaganpreet Singh; Unsupervised Stream Learning for 3D Lidar Point Clouds. IGARSS 2023: 4451-4454
• Surya S Durbha, Jibonananda Sanyal, Lexie Yang, Sangita S Chaudhari, Ujwala Bhangale, Ujwala Bharambe, Kuldeep Kurte (Eds) ( 2023), Advances in Scalable and Intelligent Geospatial Analytics Challenges and Applications, pp 421, https://doi.org/10.1201/9781003270928
• Rajat C. Shinde, Surya S. Durbha, Abhishek V. Potnis, Pratyush V. Talreja
  Geosemantic Standards-driven Intelligent Information Retrieval Framework for 3-D LiDAR Point Clouds in “Advances in Scalable and Intelligent Geospatial Analytics Challenges and Applications.”  CRC Press, Taylor & Francis Group
• Pratyush V. Talreja, Surya S. Durbha, Rajat C. Shinde, Abhishek V. Potnis
  High-Performance Computing for processing big disaster data in “Advances in Scalable and Intelligent Geospatial Analytics Challenges and Applications.” CRC Press, Taylor & Francis Group
• Abhishek V. Potnis, Rajat C. Shinde, Pratyush V. Talreja, Surya S. Durbha
  Knowledge Graph Construction Workflow for Semantics-driven Remote Sensing Scene Understanding in “Advances in Scalable and Intelligent Geospatial Analytics Challenges and Applications.” CRC Press, Taylor & Francis Group

2022

• M Shekokar, N., Vasudevan, H., Durbha, S.S., Michalas, A., P Nagarhalli, T., Sharad Mangrulkar, R., & Mangla, M. (Eds.). (2022). Cyber Security Threats and Challenges Facing Human Life (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781003218555
• Rajat Shinde, Surya Durbha, Pratyush Talreja
  Data-driven Transform-based Adaptive Compressive Sensing Framework for 3-D Reconstruction of Forests.
  FORESTS Workshop at the International Conference of Pattern Recognition (ICPR) 2022.
• Abhishek V. Potnis, Surya S. Durbha, Rajat C. Shinde and Pankaj D. Tarone
  DeepDisasterNet: High-Performance Computing-Driven Rapid Disaster Response Network in “Fourth World Congress on Disaster Management.” 
  Link. Macmillan Publishers India Private Limited, December 2021.
• Rajat Shinde, Surya Durbha.
  LidarCSNet: A Deep Convolutional Compressive Sensing Reconstruction Framework for 3-D LiDAR. Technical Presentation in Sparsity in Neural Networks – Advancing Understanding and Practice 2022 (co-associated with International Conference of Machine Learning – ICML 2022).
• Rajat C. Shinde, Surya S Durbha, Pratyush V. Talreja.
  Best Lightning Award for the technical presentation – “Empirical Mode Decomposition-driven Automated Signal Extraction.” 6th Annual Smoky Mountains Data Challenge organized by the Oak Ridge National Laboratory, US.

2021

• Rajat C. Shinde, Surya S. Durbha, Abhishek V. Potnis
  LidarCSNet: A Deep Convolutional Compressive Sensing Reconstruction Framework for 3D Airborne Lidar Point Cloud. ISPRS Journal of Photogrammetry and Remote Sensing 180 (2021) 313-334, https://doi.org/10.1016/j.isprsjprs.2021.08.019.
• Soumyashree Kar, Vikram Kumar Purbey, Saurabh Suradhaniwar, Lijalem Balcha Korbu, Jana Kholová, Surya S. Durbha, J. Adinarayana, Vincent Vadez
  An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data. Computers and Electronics in Agriculture, Volume 182, 2021, 105992, ISSN 0168-1699, https://doi.org/10.1016/j.compag.2021.105992.
• A. V. Potnis, S. S. Durbha and R. C. Shinde
  Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions. ISPRS Int. J. Geo-Inf. 2021, 10, 32. https://doi.org/10.3390/ijgi10010032
  
• RC Shinde, SS Durbha, AV Potnis, P Talreja, G Singh
  Towards Enabling Deep Learning-Based Question-Answering for 3D Lidar Point Clouds, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021)
• G Srikanth, N Nukavarapu, S Durbha
  Deep Reinforcement Learning Interdependent Healthcare Critical Infrastructure Simulation model for Dynamically Varying COVID-19 scenario-A case study of a Metro City, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021)
• P Talreja, SS Durbha, RC Shinde, AV Potnis
  Real-Time Embedded HPC Based Earthquake Damage Mapping Using 3D LiDAR Point Clouds, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021)
• AV Potnis, SS Durbha, RC Shinde, PV Talreja
  Towards Visual Exploration Of Semantically Enriched Remote Sensing Scene Knowledge Graphs (RSS-KGs), IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021)
• Rajat C. Shinde, Surya S. Durbha, Abhishek V. Potnis, Pratyush V. Talreja.
  Technical presentation on – “Towards Semantics-driven Natural Language Question-Answering for 3-D Lidar Data”. Declarative AI conference 2021 – Reasoning Web Summer School 2021.
• Pratyush Talreja, Surya Durbha, Rajat C. Shinde, Abhishek Potnis. “Deep Learning based Real-time Building Classification using UAV Imagery.” IEEE Systems and Technologies for Remote Sensing Applications Through Unmanned Aerial Systems (STRATUS 2021), [Virtual Symposium – Technical Presentation].

2020

• Parashuram Shourya Rajulapati, Nivedita Nukavarapu, Surya Durbha
  Deep Learning-based Critical Infrastructure Simulation Model for Disaster Monitoring, IEEE International Conference on Data Mining Workshops (ICDMW 2020)
  
• Utkarsh Kulshrestha, Surya Durbha
  Edge Analytics and Complex Event Processing for Real Time Air Pollution Monitoring and Control, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2020)
• Parashuram Shourya Rajulapati, Nivedita Nukavarapu, Surya Durbha
  Multi-Agent Deep Reinforcement Learning based Interdependent Critical Infrastructure Simulation Model for Situational Awareness during a Flood Event, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2020)
• Rajat C Shinde, Abhishek V Potnis, Surya S Durbha
  Online Point Cloud Super Resolution using Dictionary Learning for 3D Urban Perception, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2020)
• Abhishek V Potnis, Rajat C Shinde, Surya S Durbha
  Towards Natural Language Question Answering Over Earth Observation Linked Data Using Attention-Based Neural Machine Translation, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2020)
• Soumyashree Kar, Vincent Garin, Jana Kholová, Vincent Vadez, Surya S. Durbha, Ryokei Tanaka, Hiroyoshi Iwata, Milan O. Urban and J. Adinarayana
  SpaTemHTP: A Data Analysis Pipeline for Efficient Processing and Utilization of Temporal High-Throughput Phenotyping Data. Frontiers in Plant Science, 2020. https://doi.org/10.3389/fpls.2020.552509
• Nivedita Nukavarapu and Surya Durbha
  Healthcare Critical Infrastructure Stochastic Interdependencies Simulation Model For Smart Cities: Flood Disaster Scenario. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2020, 123–129, 2020
• Nivedita Nukavarapu and Surya Durbha
  Interdependent Healthcare Critical Infrastructure Analysis in a Spatiotemporal Environment: A Case Study. ISPRS International Journal of Geo-Information, 9(6) pp.387, 2020

2019

2018

• Ujwala Bharambe, Surya S. Durbha (2018), Adaptive Pareto-based approach for geo-ontology matching, Computers and Geosciences 119 (2018) 92–108, Elsevier.
• M. R. Badnakhe, S. S. Durbha, A. Jagarlapudi, R. M. Gade. (2018). Evaluation of Citrus Gummosis disease dynamics and predictions with weather and inversion based leaf optical model. Computers and Electronics in Agriculture, Volume 155, 2018, Pages 130-141, ISSN 0168-1699, Elsevier.
• A. Potnis, S. Durbha, K. Kurte, A Geospatial Ontological Model for Remote Sensing Scene Semantic Knowledge Mining for the Flood Disaster, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), Spain
• P. Talreja, S. Durbha, A. Potnis, On-Board Biophysical Parameters Estimation using High Performance Computing,  IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), Spain

2017

• U. Bhangale., S. S. Durbha, R. L. King., N. H Younan., & R. Vatsavai. (2017)​ . High performance GPU computing based approaches for oil spill detection from multi-temporal remote sensing data. Remote Sensing of Environment, Elsevier.
• S. Sawant, S. S. Durbha, A. Jagarlapudi,(2017), Interoperable agro-meteorological observation and analysis platform for precision agriculture: A case study in citrus crop water requirement estimation, “Computers and Electronics in Agriculture”, Volume 138, Pages 175-187, 2017 (Elsevier)
• KR Kurte, SS Durbha, RL King, NH Younan, R Vatsavai, Semantics-enabled framework for spatial image information mining of linked earth observation data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Durbha Surya, Kuldeep Kurte, Ujwala Bhangale, Semantics and High Performance Computing Driven Approaches for Enhanced Exploitation of Earth Observation (EO) Data: State of the Art, Proceedings of the National Academy of Sciences, India Section A: Physical Sciences (2017)
• Andugula, Prakash & S Durbha, Surya & Lokhande, Avinash & Suradhaniwar, Saurabh. (2017). Gaussian process based spatial modeling of soil moisture for dense soil moisture sensing network. 1-5. 10.1109/Agro-Geoinformatics.2017.8047014.
• N. Nukavarapu and S. Durbha, GEO-Visual analytics for healthcare critical infrastructure simulation model, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, 2017
• Kuldeep Kurte, Surya Durbha, Roger King, Nicolas Younan, Abhishek Potnis, A Spatio-Temporal Ontological Model for Flood Disaster Monitoring, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2017), United States of America
• Pankaj Tarone, Kunal T. Nikam, Anirban Bhowmick, Yogesh Shinde, Surya S. Durbha, Urban Noise Detection and Management for a Smart City using IOT Enabled Model, Esri India User Conference 2017

2016

• K. R. Kurte, S. S. Durbha, R. L. King., N. H Younan., & R. Vatsavai. (2016). Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(1), 29-44.)
• Kuldeep R Kurte, Surya S Durbha, Spatio-Temporal Ontology for Change Analysis of Flood Affected Areas Using Remote Sensing Images, Joint Ontology WOrkshops @ Formal Ontology in Information Systems, FOIS 2016
• U Bharambe, SS Durbha, RL King, NH Younan, K Kurte, Use of geo-ontology matching to measure the degree of interoperability, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
• Kuldeep R Kurte, Ujwala M Bhangale, Surya S Durbha, Roger L King, Nicolas H Younan, Accelerating big data processing chain in image information mining using a hybrid HPC approach, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
• Ujwala M Bhangale, Kuldeep R Kurte, Surya S Durbha, Roger L King, Nicolas H Younan, Big data processing using hpc for remote sensing disaster data, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
• Ujwala Bhangale, Vishal Rathod, Niraj Rajgor, Jignesh Rami, Kuldeep Kurte, Identification of informal settlement using Remote Sensing Images, Proceedings of the International Conference on Advances in Information Communication Technology & Computing
• Ujwala Bharambe, Surya S. Durbha, Roger L. King, Nicolas H. Younan, Kuldeep R. Kurte, Use of geo-ontology matching to measure the degree of interoperability, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
• Nivedita Nukavarapu · Surya Durbha, Stochastic Coloured Petrinet Based Healthcare Infrastructure Interdependency Model, SPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2016
• Abhishek Potnis, Surya Durbha, Exploring Visualization of Geospatial Ontologies Using Cesium. International Workshop on Visualization and Interaction for Ontologies and Linked Data(VOILA), International Semantic Web Conference (ISWC 2016), Japan
• P. H. Randhe, S. S. Durbha and N. H. Younan, “Embedded high performance computing for on-board hyperspectral image classification,” 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Los Angeles, CA, 2016

2015

• U Bhangale, S Durbha, High performance SIFT features clustering of VHR satellite images for disaster management, Proceedings of the Third International Symposium on Women in Computing and Informatics (2013)
• Prakash Andugula, Surya S. Durbha, Post-Disaster image analysis using domain adaptation, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015

2014

• UM Bhangale, SS Durbha, High performance SIFT feature classification of VHR satellite imagery for disaster management, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014
• Ujwala Bharambe, Surya S. Durbha, Analogy based similarity mining for geo-ontology matching, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014
• N.Nivedita and S.Durbha. (2014). “Hierarchical Coloured Petrinet Based Healthcare Infrastructure Interdependency Model”, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-8, 2014, ISPRS Technical Commission VIII Symposium, 09 – 12 December 2014, Hyderabad, India.
• N.Nivedita and S.Durbha. (2014). “Petrinet Based Healthcare Infrastructure Interdependency Model”, Proceedings of XXXIV INCA International Congress, India, 06 – 18 December 2014, Hyderabad, India.

2013

• U Bharambe, SS Durbha, K Kurte, NH Younan, RL King(2013), Pareto optimization for multiobjective matching of geospatial ontologies
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2013
• Kuldeep R Kurte, Surya S Durbha, High resolution disaster data clustering using graphics processing units, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2013
• U Bhangale, S Durbha, Cloud detection in satellite imagery using graphics processing units, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2013
• Prakash Andugula, Surya S. Durbha, Roger L. King, Nicolas H. Younan, Domain adaptation approach for classification of high resolution post-disaster data, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2013

2012

• S. S. Durbha, R. L. King, A. Prakash, & N. H. Younan, (Aug 2012). Transfer Learning for Image Information Mining Applications. International Journal of Image and Data Fusion Taylor & Francis, 10, 17. DOI: 10.1080/19479832.2012.698658.
• Ujwala Bharambe, Surya S. Durbha, Roger L. King, Geospatial ontologies matching: An information theoretic approach, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2012