Dr. Manish K. Pandey

About

The passion to turn data into insights and products is the primary focus of my research. Many problems can be solved by asking the right questions and using data to answer them, but many data sources are still untapped. To make the best use of my technical expertise in logic development & application of big data analytics in third computing paradigm areas to acquire and apply advanced knowledge to unearth hidden insights. Overall, I’ve more than 14 years of software development and research experience in the Application of Statistical Learning, Artificial intelligence techniques, Hyperspectral Data Analytics and Mathematical Optimization to build prediction models for diverse research projects. My broad research interests are Artificial Intelligence for Climate Change Analytics; Hyperspectral Data Analytics; Big Data Analytics in Agriculture; Web Services Recommendation; Machine Learning for Vehicular & Financial Analytics; Cloud Computing to name a few.

Employment

• Birla Institute of Technology Assistant Professor of Data Science
  2021 - Present
• Banaras Hindu University Research Scientist B
  2021 - 2021
• Banaras Hindu University Research Associate
  2019 - 2021
• Wipro Ltd Project Engineer
  2008 - 2012

Education

• Banaras Hindu University B.Sc.(Hons.) Computer Science
  2003 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (37)

• Decoding Biosphere–Atmosphere Coupling over the Himalayan Ecosystems Using an Entropy-Driven Network Framework
  2026 DOI: 10.5194/ems2026-155
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• Elevation-dependent warming in the Western Himalayas: A 124-year gridded temperature analysis
  Theoretical and Applied Climatology 2026 DOI: 10.1007/s00704-026-06347-z
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• Explainability of Encoder-Based LLMs in Medical Text Classification
  2025 DOI: 10.1109/ICCoSD66074.2025.11348575
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• Optimizing whole grain rice fortification using microwave-assisted screw conveying spraying and drying setup: Exploring solution absorption, gelatinization, and micronutrient retention
  Food Chemistry 2025 DOI: 10.1016/j.foodchem.2024.142455
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• " Assessing The Impact of Land Use Changes on Pm2.5 Concentrations: A Geographically Weighted Regression Approach " 
  2025 DOI: 10.5194/egusphere-egu24-16601
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• Performance assessment of the Sentinel-2 LAI products and data fusion techniques for developing new LAI datasets over the high-altitude Himalayan forests
  Geocarto International 2023 DOI: 10.1080/10106049.2023.2247380
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• Seeing from space makes sense: Novel earth observation variables accurately map species distributions over Himalaya
  Journal of Environmental Management 2023 DOI: 10.1016/j.jenvman.2022.116428
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• Impact of Environmental Gradients on Phenometrics of Major Forest Types of Kumaon Region of the Western Himalaya
  Forests 2022 DOI: 10.3390/f13121973
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• Improved Carpooling Experience through Improved GPS Trajectory Classification Using Machine Learning Algorithms
  Information 2022 DOI: 10.3390/info13080369
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• Crop type discrimination using Geo-Stat Endmember extraction and machine learning algorithms
  Advances in Space Research 2022 DOI: 10.1016/j.asr.2022.08.031
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