Saurabh Shanu

About

Dr. Saurabh Shanu is an accomplished academic leader and researcher in computer science, specializing in AI, computational sustainability, and wildlife conservation technologies. Currently serving as Assistant Dean and Associate Professor at IILM University, Greater Noida, he brings over 12 years of expertise in innovative teaching and real-world problem-solving. He earned his Bachelor of Technology from ICFAI University, Dehradun, in 2012, followed by a Master’s in Computer Science with a focus on Artificial Intelligence and Artificial Neural Networks from UPES, Dehradun, and a PhD in Computer Science at UPES, researching complex network analysis for wildlife corridors using machine intelligence. His professional journey began as a Senior Software Development Engineer at Capgemini Engineering (2012-2013) and Software Developer at Wildlife Institute of India (2015-2016), advancing to Assistant Professor (Selection Grade) at UPES School of Computer Science from 2016 to 2025, where he led AI, IoT, and robotics initiatives, before joining IILM University as Associate Professor and Assistant Dean in August 2025. Dr. Shanu developed ‘Animeter,’ a globally used tool for camera trap image analysis in wildlife monitoring, supporting species predictions for tigers and ungulates, and contributing to India’s Government Tiger and Leopard Reports in 2018. With over 29 citations on Google Scholar, his publications include graph-theoretic models for tiger corridors and geospatial habitat analysis in journals like Ecological Informatics and Sustainability. He has received nominations for the Frontiers Planet Prize, an invitation from the Royal Charter of London, and various accolades for his computational wildlife tools.

Employment

• IILM Institute for Higher Education Associate Professor
  2025 - Present
• UPES Assistant Professor - SG
  2016 - 2025

Education

• UPES PhD
  2021 - 2024

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• A Computational Model for Determining Tiger Dispersal and Related Patterns in a Landscape Complex
  Sustainability 2023 DOI: 10.3390/su15118539
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• Designing Data-Resolution Dependent Wildlife Corridor Networks for Tigers Using a Tensor-Based Computational Model
  Journal of Mines, Metals and Fuels 2023
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• A Computational Model for Determining Tiger Dispersal and Related Patterns in a Landscape Complex
  2023 DOI: 10.20944/preprints202303.0396.v1
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• Geospatial modelling of overlapping habitats for identification of tiger corridor networks in the Terai Arc landscape of India
  Geocarto International 2022 DOI: 10.1080/10106049.2022.2095444
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• Optimal solution approach on large scale data to avoid deadlocks in resource allocations
  Materials Today: Proceedings 2021 DOI: 10.1016/j.matpr.2021.06.357
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• An Automated Animal Classification System: A Transfer Learning Approach
  SSRN 2020 DOI: 10.2139/ssrn.3545100
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• Community structures in simplicial complexes: an application to wildlife corridor designing in central india - eastern ghats landscape complex, India
  arXiv 2020
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• A graph theoretic approach for modelling tiger corridor network in Central India-Eastern Ghats landscape complex, India
  Ecological Informatics 2019 DOI: 10.1016/j.ecoinf.2019.01.002
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• A computational approach for designing tiger corridors in India
  Communications in Computer and Information Science 2018 DOI: 10.1007/978-981-10-8657-1_8
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• Self-organized Bacterial Evolutionary Dynamics: Fractal Characteristics
  Advances in Intelligent Systems and Computing 2018 DOI: 10.1007/978-981-10-5903-2_25
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