Integrating advanced Artificial Intelligence and Machine Learning with next-generation sensing technologies—including hyperspectral imaging, multispectral imaging, and LiDAR—to model complex plant traits. Leveraging drone-based remote sensing and data-driven ecological modeling to develop scalable, AI-enabled frameworks for comprehensive biodiversity assessment, climate resilience analysis, and precision conservation.

• Selected as Environment Officer (Gazetted Group A) by Himachal Pradesh Public Service Commission, Shimla. Appointed under the Department of Environment Science, Technology & Climate Change (2025), Government of Himachal Pradesh.

• Received the best poster presentation award. Geo-Smart India 2022 – a National Symposium of the Indian Society of Remote Sensing (ISRS) and the Indian Society of Geomatics (ISG), held at Hyderabad on 17.11.2022.  Titled “High-resolution remote sensing for precise biomass estimation of Himalayan forests.

• UGC NET JRF (Environmental Science), 2019.

 Vivek Dhiman and Amit Kumar* (2024). Biomass and Carbon Stock Estimation through Remote Sensing and Field Methods in a Subtropical Himalayan Forest under threat due to developmental activities, Environment and Natural Resources. 22(4), 378-393.  DOI:10.32526/ennrj/22/20240018

 Vivek Dhiman and Amit Kumar 2024, Species exhibiting positive association demonstrate high above-ground biomass accumulation in the subtropical Himalayan Forest ecosystem, Applied ecology and environmental research.

 Manisha, Kandpal, K. C., Meenakshi, Dhiman, V., Pati, A. M., and Kumar A. (2024) Hyperspectral remote sensing and artificial neural network techniques provided a novel approach for detection of various stages of blister blight infection in the tea leaves. International Journal of Remote Sensing.

 Bera, D., Chatterjee, N. D., Dinda, S., Ghosh, S., Dhiman, V., Bashir, B., ... & Zhran, M. (2024). Assessment of Carbon Stock and Sequestration Dynamics in Response to Land Use and Land Cover Changes in a Tropical Landscape. Land, 13(10), 1689.

 Bera, D., Chatterjee, N. D., Dinda, S., Ghosh, S., Bera, S., Mandal, M., Dhiman, V., & Zhran, M. (2025). Evaluating the Impact of Diverse Driving Factors on Carbon Stock Variability in Tropical Dry Deciduous Forests of West Bengal, India. Environmental Management, 75(12), 3601-3615.