Forschungsinteressen

Hydro-climatic extremes
Data-driven modelling approaches
Hydrological modelling

Ausbildung

M.Tech in Surface Water Hydrology

from August 2020 to June 2022 at the Department of Hydrology, Indian Institute of Technology Roorkee (IIT Roorkee), India

B.Tech in Civil Engineering

from July 2016 to June 2020 at the Department of Civil Engineering, National Institute of Technology Calicut (NIT Calicut), India

Auszeichnungen

DAAD KOSPIE (Deutscher Akademischer Austauschdienst) Research Fellow at the Chair of Hydrology and River Basin Management, Technical University of Munich, Germany, 2021

ThinkSwiss Research Scholarship holder at the Department of Geoscience, University of Fribourg, Switzerland, 2021

Projekte

Implementation of an InfraStructure for dAta-BasEd Learning in environmental sciences (ISABEL)

Publikationen

Peer-review Studien

Ashish Manoj J, Ravi Kumar Guntu, Ankit Agarwal (2022): Spatiotemporal Dependence of Soil Moisture and Precipitation over India, Journal of Hydrology https://doi.org/10.1016/j.jhydrol.2022.127898.

Konferenzbeiträge (Oral)

Ashish Manoj J, Teresa Pérez Ciria, Gabriele Chiogna, Nadine Salzmann, and Ankit Agarwal: Investigating Spatial Patterns and Characteristics of Preconditioned Compound Flooding Over Europe, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10435, https://doi.org/10.5194/egusphere-egu22-10435.

Ashish Manoj J, Ravi Kumar Guntu, Ankit Agarwal: Investigating Spatiotemporal Patterns of Soil Moisture - Precipitation Dependence over India. in Hydrocomplexity: Addressing Challenges in Hydrology from a Holistic Perspective - Online Discussion Session. AGU Frontiers in Hydrology Meeting 2022. 22 June 2022, https://doi.org/10.1002/essoar.10511686.1.

Ashish Manoj J, Ravi Kumar Guntu, Ankit Agarwal: Can Soil Moisture Anomalies Trigger Extreme Precipitation Events over India? AGU Fall Meeting 2021; 12/2021, https://doi.org/10.1002/essoar.10509317.1.

Ashish Manoj J, Asiya A., Navya D., Ganesh Kumar G., Robin Davis P. (2020): Machine Learning Approach to Failure Mode Prediction of Reinforced Concrete Infilled Frames. Proceedings of SECON 2020. SECON 2020. Lecture Notes in Civil Engineering, vol 97. Springer, Cham., https://doi.org/10.1007/978-3-030-55115-5_80.

Wissenschaftliche Online-Profile

https://scholar.google.com/citations?hl=en&user=k8bJd1MAAAAJ

https://orcid.org/0000-0003-0625-7184

https://www.researchgate.net/profile/Ashish-Manoj-J