I am a Graduate student working under the supervision of Prof. Surya S. Durbha in GeoComputational Systems and IoT Research Group at Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay. My primary research interests lie at the intersection of LiDAR data processing, Deep Learning, High Performance Computing and Remote Sensing. I am a recipent of the Prime Minister's Research Fellow (PMRF) which comes under the Ministry of Education, Government of India.

I have completed my Masters in Geoinformatics from Indian Institute of Technology Bombay. I have a work experience of more than four years as a Software Developer working majorly in Java and in the domain of Internet of Things, Advertisement, Real-Time Systems, etc. I am an Open Source contributor and I have worked with Computational Science and Engineering | TU Wien, Austria for a project in Google Summer of Code.

Apart from working on a research problem, you can find me mostly on my saddle completing an endurance ride, playing table tennis or cooking.

• My application for attending the Remote Sensing Summer School at IGARSS 2023 has been accepted.
• Paper titled Unsupervised Domain Adaptation using Generative Adversarial Network for Extreme Events Monitoring has been accepted in International Geoscience and Remote Sensing Symposium (IGARSS 2023)
• Paper titled Unsupervised Stream Learning for 3D LiDAR Point Clouds has been accepted in International Geoscience and Remote Sensing Symposium (IGARSS 2023)
• Paper titled Deep Reinforcement Learning driven Critical Infrastructure protection during extreme events has been accepted in International Geoscience and Remote Sensing Symposium (IGARSS 2023)
• Chapter titled High-Performance Computing for Processing Big Geospatial Disaster Data has been published in Advances in Scalable and Intelligent Geospatial Analytics: Challenges and Applications
• Chapter titled Geospatial Knowledge Graph Construction Workflow for Semantics-Enabled Remote Sensing Scene Understanding has been published in Advances in Scalable and Intelligent Geospatial Analytics: Challenges and Applications
• Chapter titled Geosemantic Standards-Driven Intelligent Information Retrieval Framework for 3D LiDAR Point Clouds has been published in Advances in Scalable and Intelligent Geospatial Analytics: Challenges and Applications
• My application for attending the International Semantic Web Research Summer School has been accepted.
• My application for attending the International Geoscience and Remote Sensing (IGARSS) 2022 Summer School has been accepted.
...Also
My application for attending Research Week with Google organized by Google Research India has been accepted.
Awarded Prime Minister's Research Fellow (PMRF) fellowship by Ministry of Education, Government of India
Presented our work on Deep Learning-based Real-time Building Classification using UAV Imagery in Systems and Technologies for Remote Sensing Applications Through Unmanned Aerial Systems (STRATUS 2021)
My application for attending the first Graduate Symposium hosted by Google Research India has been accepted.
Paper titled Real-Time Embedded HPC Based Earthquake Damage Mapping Using 3D LiDAR Point Clouds has been accepted in International Geoscience and Remote Sensing Symposium (IGARSS 2021)
Paper titled Towards Enabling Deep Learning-Based Question-Answering for 3D Lidar Point Clouds has been accepted in International Geoscience and Remote Sensing Symposium (IGARSS 2021)
Paper titled Towards Visual Exploration Of Semantically Enriched Remote Sensing Scene Knowledge Graphs (RSS-KGs) has been accepted in International Geoscience and Remote Sensing Symposium (IGARSS 2021)

• Unsupervised Domain Adaptation using Generative Adversarial Network for Extreme Events Monitoring

  Pratyush V Talreja; Surya S Durbha; Rajat C Shinde; Shreelakshmi C R
  International Geoscience and Remote Sensing Symposium (IGARSS 2023)

• Unsupervised Stream Learning for 3D LiDAR Point Clouds

  Shreelakshmi C R; Surya S Durbha; Rajat C Shinde; Pratyush Talreja; Gaganpreet Singh
  International Geoscience and Remote Sensing Symposium (IGARSS 2023)

• Deep Reinforcement Learning driven Critical Infrastructure protection during extreme events

  Keshav Agrawal; Surya S Durbha; Pratyush V Talreja; Nivedita Nukavarapu
  International Geoscience and Remote Sensing Symposium (IGARSS 2023)

• High-Performance Computing for Processing Big Geospatial Disaster Data

  Pratyush V Talreja; Surya S Durbha; Rajat C. Shinde; Abhishek V. Potnis
  Advances in Scalable and Intelligent Geospatial Analytics: Challenges and Applications
  chapter

• Geospatial Knowledge Graph Construction Workflow for Semantics-Enabled Remote Sensing Scene Understanding

  Abhishek V. Potnis; Surya S Durbha; Rajat C. Shinde; Pratyush V Talreja
  Advances in Scalable and Intelligent Geospatial Analytics: Challenges and Applications
  chapter

• Geosemantic Standards-Driven Intelligent Information Retrieval Framework for 3D LiDAR Point Clouds

  Rajat C. Shinde; Surya S Durbha; Abhishek V. Potnis; Pratyush V Talreja
  Advances in Scalable and Intelligent Geospatial Analytics: Challenges and Applications
  chapter

• Real-Time Embedded HPC Based Earthquake Damage Mapping Using 3D LiDAR Point Clouds

  Pratyush Talreja; Surya Durbha; Rajat Shinde; Abhishek Potnis
  International Geoscience and Remote Sensing Symposium (IGARSS 2021)
  paper

• Towards Enabling Deep Learning-Based Question-Answering for 3D Lidar Point Clouds

  Rajat C. Shinde; Surya S Durbha; Abhishek V. Potnis; Pratyush Talreja; Gaganpreet Singh
  International Geoscience and Remote Sensing Symposium (IGARSS 2021)
  paper

• Towards Visual Exploration Of Semantically Enriched Remote Sensing Scene Knowledge Graphs (RSS-KGs)

  Abhishek V. Potnis; Surya S. Durbha; Rajat C. Shinde; Pratyush V. Talreja
  International Geoscience and Remote Sensing Symposium (IGARSS 2021)
  paper

• On-Board Biophysical Parameters Estimation Using High Performance Computing

  Pratyush V. Talreja; Surya S. Durbha; Abhishek V. Potnis
  International Geoscience and Remote Sensing Symposium (IGARSS 2018)
  paper

Doctor of Philosophy, IIT Bombay

LiDAR data processing, High Performance Computing

CPI: 9.36/10

January 2021 - Present

Master of Technology, IIT Bombay

Geoinformatics

CPI: 8.81/10

July 2015 - July 2017

Bachelor of Technology, GCOE Amravati

Information Technology

CPI: 9.07/10

August 2010 - June 2014

Reliance Jio, Bangalore

Software Developer, Manager family

Spring Boot, Apache Kafka, MongoDB

May 2020 - December 2020

Wooqer, Bangalore

Platform Engineer

Spring MVC, MySQL

August 2019 - April 2020

DataXu, Bangalore

Software Engineer

Java, AWS S3, AWS Kinesis Firehose, AWS Lambda, InfluxDB

July 2017 - July 2019

Cognizant Technology Solutions

Programmar Analyst Trainee

Java EE, MySQL

July 2014 - July 2015

- Winner - Singles Category - Table Tennis Hostel Tournament - IIT Bombay

- Runner-up - Doubles Category - Table Tennis Hostel Tournament - IIT Bombay

- Recipient of Prime Minister's Research Fellow (PMRF) fellowship

- Winner - mApp Your Way App Development Challenge - 16th ESRI India User Conference

- Won Best Technology award - Project Exhibition and Competition - Persistant Systems Ltd

- Winner - Table Tennis tournament - Government College of Engineering Amravati

- Winner - Singles and Doubles Table Tennis tournament - DataXu, India

- Runner-up - Modfusion-B: Project Presentation competition - Government College of Engineering Amravati

- 2nd Runner-up - Intra-hostel Table Tennis tournament - IIT Bombay