Publications

Dec 2023

Prediction of Transportation Index for Urban Patterns in Small and Medium-sized Indian Cities using Hybrid RidgeGAN Model. 

Rahisha Thottolil, Uttam Kumar and Tanujit Chakraborty (2023). Nature Scientific Reports, 13:21863. (IF: 4.6)

 

Van der Pol-informed Neural Networks for Multi-step-ahead Forecasting of Extreme Climatic Events. 

Anurag Dutta, Madhurima Panja, Uttam Kumar, Chittaranjan Hens and Tanujit Chakraborty. 37th Conference on Neural Information Processing Systems (NeurIPS 2023-AI4Science), New Orleans, US, 10 – 16 December, 2023.

 

Predicting Urban Expansion using a Patch-generating Land Use Simulation (PLUS) Model: A Case Study of Bangalore City, India. 

Rahisha Thottolil, Uttam Kumar and Aswathi Mundayatt (2023).InGARSS 2023, 10-13 December, 2023, Bangalore, India.

 

Online Incremental Machine Learning Model for Multi-Sensor and Multi-Temporal Satellite Data: A Case Study of Bangalore. 

Yash Mittal, Uttam Kumar and Deeksha Aggarwal (2023).InGARSS 2023, 10-13 December, 2023, Bangalore, India.

 

Analysis of Unsupervised Pre-Training and Supervised Learning Models with Limited Labelled Data for LULC Classification. 

Deeksha Aggarwal, Uttam Kumar and Rikhil Gupta (2023). InGARSS 2023, 10-13 December, 2023, Bangalore, India.

 

Indian Cities of the Future: Predicting the Urban Patterns and Transportation Indices for India’s Urban Ecosystem using Machine Learning. 

Rahisha Thottolil, Uttam Kumar and Tanujit Chakraborty (2023). POMS INDIA International Conference 2023, XLRI Jamshedpur, 4-6 December, 2023, Jamshedpur, India.

 

Comparison of Carbon footprint of major cities in India and China with Japan and United States: Understanding production and consumption aspects. 

Anindita Dasgupta and Uttam Kumar (2023),POMS INDIA International Conference 2023, XLRI Jamshedpur, 4-6 December, 2023, Jamshedpur, India. 

Nov 2023

AutoRegressive Neural Networks for Accurate Long-Range Forecasting 

Madhurima Panja, Tanujit Chakraborty, Uttam Kumar and Abdenour Hadid. Communications in Computer and Information Science, vol 1967. Springer, Singapore.

Oct 2023

Data Generation with Structure Enforcing Adversarial Learning 

Indu Solomon, Uttam Kumar and Senthilnath J. ICIP 2023, October 8-11, 2023, Kuala Lumpur, Malaysia.

Aug 2023

Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics.

Madhurima Panja, Tanujit Chakraborty, Uttam Kumar and Nan Liu. Neural Networks, 165 (2023), pp. 185-212. (IF: 9.657)

July, 2023

Topological Classification of Small and Medium sized Urban Road Networks – A Case Study of Indian Cities.

Rahisha Thottolil and Uttam Kumar, (2023), IGARSS 2023, 16-21 July, 2023, Pasadena, California, USA.

Feb 2023

An ensemble neural network approach to forecast Dengue outbreak based on climatic conditions

Madhurima Panja, Tanujit Chakraborty, Sk Shahid Nadim, Indrajit Ghosh, Uttam Kumar and Nan Liu (2023). Chaos, Solitons and Fractals, 167 (2023), pp. 113124. (IF: 9.9)

 

Quantitative assessment of urban road network hierarchy, topology and walkable access using open-source GIS tools. In Proceedings of the Infrastructure and Built Environment: Towards Sustainable and Resilient Societies

Rahisha Thottolil and Uttam Kumar. IIT Kharagpur, 2-4 Feb, 2023, Kharagpur, India

Nov 2022

Searching for Heavy-Tailed Probability Distributions for Modeling Real-World Complex Networks

Tanujit Chakraborty, Swarup Chattopadhyay, Suchismita Das, Uttam Kumar and J. Senthilnath (2022), IEEE Access, vol. 10, 2022, pp. 115092-115107..

OCT 2022

Data Ovesampling with Structure Preserving Variational Learning

Indu Solomon, Senthilnath J., Md Meftahul Ferdaus and Uttam Kumar, (2022), CIKM 2022, October 17-21, 2022, Atlanta, GA, USA.

 

Class Incremental Learning in Plants

Yash Mittal and Uttam Kumar, (2022), ACM AI-ML SYSTEMS 2021, Bangalore, India, 12-15 October, 2022.

JULY 2022

Comparative Evaluation of the Convolutional Neural Network based Transfer Learning Models for Classification of Plant Disease

Naresh Pajjuri, Uttam Kumar and Rahisha Thottolil, (2022), In Proceedings of the IEEE International Conference on Electronics, Computing and Communication Technologies (IEEE CONECCT), 8-10 July, 2022, Bangalore, India..

 

Automatic Building Footprint Extraction using Random Forest Algorithm from High Resolution Google Earth Images: A Feature-Based Approach

Rahisha Thottolil and Uttam Kumar, (2022), In Proceedings of the IEEE International Conference on Electronics, Computing and Communication Technologies (IEEE CONECCT), 8-10 July, 2022, Bangalore, India..

JUNE 2022

A comparative study of Deep Learning methods for Building Footprint extraction using high resolution WorldView 2 images

Rahisha Thottolil and Uttam Kumar, (2022. In Proceedings of the Student Paper Presentation Competition (SPP -2022), IEEE Geoscience and Remote Sensing Society, Bangalore Chapter and NITK GRSS Student Chapter, 4 June, 2022, Bangalore, India

 

Analysis of the Urban Heat Island phenomenon in rapidly urbanizing Bangalore City

Anindita Dasgupta and Uttam Kumar, (2022). In Proceedings of the Student Paper Presentation Competition (SPP -2022), IEEE Geoscience and Remote Sensing Society, Bangalore Chapter and NITK GRSS Student Chapter, 4 June, 2022, Bangalore, India.

 

Impact of Increased Urbanisation on Land Surface Temperature: A Case Study of Bangalore

Anindita Dasgupta and Uttam Kumar, (2022).In Proceedings of the Applications of ML and Data Science in Inter-disciplinary areas, IIM Visakhapatnam, 29-30 May, 2022, Visakhapatnam, India

 

Urban Land Resource Mapping of Bangalore City using Sentinel-2A data through Machine Learning on Google Earth Engine Platform

Rahisha Thottolil and Uttam Kumar, (2022.In Proceedings of the Applications of ML and Data Science in Inter-disciplinary areas, IIM Visakhapatnam, 29-30 May, 2022, Visakhapatnam, India

 

PPDL – Privacy Preserving Deep Learning Using Homomorphic Encryption

Nayna Jain, Karthik Nandakumar, Nalini Ratha; Sharath Pankanti and Uttam Kumar, (2022), 9th ACM IKDD CODS and 27th COMAD, 5th Joint International Conference on Data Science & Management of Data, 7 – 10 January, 2022

JAN 2022

Towards Building a Flexible Online Learning Model for Data Stream Classification

Deeksha Aggarwal, Uttam Kumar and J. Senthilnath, (2022), (2022), 9th ACM IKDD CODS and 27th COMAD, 5th Joint International Conference on Data Science & Management of Data, 7 – 10 January, 2022

DEC 2021

Towards Semi-supervised Tree Canopy Detection and Extraction from UAV Images

Uttam Kumar, Anindita Dasgupta, Lingamallu S N Venkata Vamsi Krishna and Pranav Kumar Chintakunta, (2021). In Proceedings of the 6th IAPR International Conference on Computer Vision and Image Processing (CVIP 2021), IIT Ropar, India, 3-5 December 2021

 

COVID-19 Social Distance Surveillance using Deep Learning

Praveen Nair, Uttam Kumar and Sowmith Nandan, (2021). In Proceedings of the 6th IAPR International Conference on Computer Vision and Image Processing (CVIP 2021), IIT Ropar, India, 3-5 December 2021

 

Multimodal and Multi-Temporal Spatial Data Analysis in Google Earth Engine Cloud Computing Platform to detect Human Settlements without Electricity: A Case Study of Bangalore City

Manjunath Bhimappa Ujjinakoppa, Uttam Kumar, Rahisha Thottolil and Anindita Dasgupta, (2021). IEEE InGARSS, 6-10 December, 2021, Ahmedabad, India

 

Urban Heat Island and its impact on Impervious Surfaces during Two Seasons: A Case Study of Bangalore

Anindita Dasgupta and Uttam Kumar, (2021). IEEE InGARSS, 6-10 December, 2021, Ahmedabad, India

 

Assessment of Topological Pattern of Road Network: A Case Study of Bangalore City

Rahisha Thottolil and Uttam Kumar, (2021). IEEE InGARSS, 6-10 December, 2021, Ahmedabad, India

 

Classification and Identification of Crops using Deep Learning with UAV Data

Abhishek Narvaria, Uttam Kumar, Shree Jhanwwee Kanumuru and Gurdeep Jyoti Kaur, (2021), IEEE InGARSS, 6-10 December, 2021, Ahmedabad, India

 

SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification

Deeksha Aggarwal, J. Senthilnath, Uttam Kumar, Vivek Yadav, Sushant Kulkarni, Md Meftahul Ferdaus, Li Xiaoli, (2021). 21st IEEE International Conference on Data Mining Workshops (ICDMW 2021), Auckland, New Zealand, 2021

OCT 2021

CryptInfer – Enabling Practical Inference on Encrypted Skin Lesion Images for Melanoma Detection

Nayna Jain, Karthik Nandakumar, Nalini Ratha; Sharath Pankanti, Uttam Kumar, (2021), ACM AI-ML SYSTEMS 2021, Bangalore, India, 21-24 October, 2021

 

Optimizing Homomorphic Encryption based Secure Image Analytics

Nayna Jain, Karthik Nandakumar, Nalini Ratha; Sharath Pankanti, Uttam Kumar, (2021). IEEE MMSP 2021, Tampere, Finland, 06-08 October, 2021

FEB 2021

Efficient CNN Building Blocks for Encrypted Data

Nayna Jain, Karthik Nandakumar, Nalini Ratha, Sharath Pankanti and Uttam Kumar, (2021). AAAI PPAI 2021, 02-09 February, 2021

DEC 2021

A Comparative Evaluation of the Deep Learning Algorithms for Pothole Detection

Roopak Rastogi, Uttam Kumar, Archit Kashyap, Shubham Jindal and Saurabh Pahwa, (2020) In Proceedings of the IEEE INDICON, New Delhi, India, 11-13 December, 2020

DEC 2020

Crop Classification from UAV-Based Multi-spectral Images using Deep Learning

Sudarshan Rao B, Manjit Hota and Uttam Kumar, (2020). In Proceedings of the 5th IAPR International Conference on Computer Vision and Image Processing (CVIP 2020), IIIT Allahabad, India, 4-6 December 2020

 

Power Lines Detection and Segmentation in Multi-spectral UAV images using Convolutional Neural Network

Manjit Hota, Sudarshan Rao B and Uttam Kumar, (2020). IEEE InGARSS, 2-4 December, 2020, Ahmedabad, India

NOV 2020

Automatic pothole classification and segmentation using android smartphone sensors and camera images with machine learning techniques

S. Thiruppathiraj, Uttam Kumar and Swapnil Buchke, (2020). IEEE TENCON 2020, Osaka, Japan, 2020, pp. 1386-1391, 16-19 November, 2020

NOV 2018

Automatic feature selection for Landsat-8 and Sentinel-2 image co-registration using SURF-FANN

Rahul Ambati, Chakravardhan Reddy, Smit Patel, Sandeep Tadepalli and Uttam Kumar, (2018), In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI 2018), Bangalore, India, 18-21 November, 2018

OCT 2017

Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. Remote Sensing

Uttam Kumar, Ganguly, S., Nemani, R.R., Raja, K.S., Milesi, C., Sinha, R.,Michaelis, A., Votava, P., Hashimoto, H., Li, S., Wang, W., Kalia, S.,Gayaka, (2017)