Dr. Muhammad Jehanzaib

Profile

I am currently working within the Climate Impact Group as a Research Fellow in a project (GENADAPT) funded by BBSRC. My key responsibilities are to develop genetically-driven machine learning models by combining environmental, genetic and field phenotyping data of wheat cultivars to identify those most suitable for different environmental conditions.

Before joining the Climate Impact Group, I worked in Hanyang University, Republic of Korea as a Post-Doctoral researcher. There, I completed three research projects funded by National Research Foundation (NRF) of Republic of Korea, developing an early warning drought alert system based on reservoir capacity in Korea which is highly sensitive to drought and climate change. I also took part in a short-term Arctic research as part of a multinational team of scientists to collect hydro-meteorological data, remote sensing data using drones, and permafrost characteristics using ground penetration radar (GPR).

I have been instrumental in the writing of more than 25 publications in leading international journals such as Journal of Hydrology, Atmospheric Research, Ecological Engineering, Stochastic Environmental Research and Risk Assesment, etc. I am an active reviewer of many prestigious research journals i.e. Journal of Hydrology, Nature Climate change, Ecological Engineering, Journal of Hydrology-Regional Studies, Journal of Hydro-Environment Research, Remote Sensing, Water, etc. I presented my research work in various international conferences (International Water Resources Association, Asia Oceania Geosciences Society, Korean Society of Civil Engineers etc.).

In PhD, I developed expertise related to modelling and improving the fundamental behaviours of hydrological phenomena using state-of-the-art-technologies, exploring climatic and anthropic influences upon droughts. I built novel models and modelling frameworks to access environmental influences upon droughts, also using probabilistic graphical models to examine drought propagation throughout the hydrological cycle. In addition, I explored non-stationarity modelling of hydrological time series which is a crucial issue in capturing dynamics within the field of hydrology and proposed non-stationary models. I also learnt hydrological modelling tools (HEC-RAS (2D), GR4J, HBV etc.) and developed my expertise in programming languages (Matlab, R and Linux) during Ph.D.

Qualifications

• Ph.D. in Civil and Environmental Engineering, Hanyang University, South Korea
• M.Sc. in Agricultural Engineering, University of Agriculture, Pakistan
• B.Sc. in Agricultural Engineering, University of Agriculture, Pakistan

Professional memberships

• Korean Society of Civil Engineering
• Pakistan Engineering Council

Research groups and institutes

• Institute for Climate and Atmospheric Science
• Climate Science and Impacts