Samyak Parajuli

3 papers and 358 indexed citations i.

Samyak Parajuli is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Samyak Parajuli has authored 3 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Electrical and Electronic Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Samyak Parajuli’s work include Smart Grid Energy Management (1 paper), Advanced Neural Network Applications (1 paper) and Microgrid Control and Optimization (1 paper). Samyak Parajuli is often cited by papers focused on Smart Grid Energy Management (1 paper), Advanced Neural Network Applications (1 paper) and Microgrid Control and Optimization (1 paper). Samyak Parajuli collaborates with scholars based in United States, India and The Netherlands. Samyak Parajuli's co-authors include Fengqiu Wang, Dawn Song, Justin Gilmer, Norman Mu, Jacob Steinhardt, Dan Hendrycks, Saurav Kadavath, Steven Basart, Tyler Zhu and Anuradha Tomar and has published in prestigious journals such as Machine Vision and Applications, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020).