RESEARCHER OPEN-SOURCE-ADVOCATE ANIMAL PERSON ex-OUTDOORER
More About MeI'm a researcher at the CYENS Centre of Excellence in Nicosia, where I’m part of the SuPerWorld team. I work at the intersection of AI, remote sensing, and geospatial analytics to monitor biodiversity and support environmental decision-making.
I recently finished my PhD at the Cyprus University of Technology, where I explored deep learning, computer vision, and pervasive computing for wildlife and habitat monitoring. I'm especially interested in satellite and drone imagery, camera traps, GIS, and multi-spectral data, and how they can be combined to create scalable solutions for monitoring ecosystems and the environment.
Beyond research, I'm the co-founder and Operations Manager of PERIOPSIS Ltd., where we design AI-powered solutions for satellite imagery analysis, point-of-interest detection, and large-scale environmental observation.
2022 - Present
As a co-founder and Satellite Data Expert at PERIOPSIS Ltd, I focus on the acquisition and analysis of satellite data, employing advanced computer vision and deep learning techniques to detect points of interest and extract meaningful insights. This work enhances our understanding of environmental dynamics and supports the development of informed strategies for sustainable management. My commitment to leveraging technology for environmental benefit aligns with our mission to establish ourselves in Europe as an innovative company using emerging IT technologies, such as satellite imagery, AI, machine and deep learning, and IoT—for large-scale environmental observation and modeling.
2022 - 2025
My PhD is on AI-driven biodiversity monitoring, where I proposed a unified framework that integrates geospatial analytics, deep learning, and multi-modal sensing systems into an automated end-to-end pipeline. The framework supports data collection with smart camera traps, species detection and classification using computer vision, habitat similarity modeling with geospatial methods, and predictive mapping through species distribution models. This pipeline demonstrates how emerging technologies can work together to make biodiversity monitoring more scalable, adaptive, and efficient.
July 2020 - Present
As a researcher in the SuPerWorld Multidisciplinary Research Group at the CYENS Center of Excellence, I specialize in applying deep learning and computer vision techniques to remote sensing images. My work focuses on leveraging satellite and aerial imagery for biodiversity monitoring and promoting sustainability. The SuPerWorld group integrates pervasive computing to enhance the real world—encompassing humans, animals, plants, and the physical and urban environment—by using IoT and WoT protocols for high interoperability and comprehensive real-world data measurement.
2019 - 2020
To develop a Deep learning-based people counting algorithm using Terabee 3D camera (Depth Camera) on embedded hardware and compare the result with existing Computer Vision-based people counting algorithm.
2018 - 2020
Master of Science in Embedding Systems.
2014 - 2018
Installation, Testing and Commissioning of Electrical systems
2010 - 2014
Bachelor of Engineering in Electrical and Electronics Engineering.
CYENS Center of Excellence
Nicosia, Cyprus
chirag.padubidri@gmail.com
chirag@padubidri.com
Phone: (+357) 22 747575