
- Bachelor Degree from Kerala University
- Post Graduation from IIT Madras, Chennai
- Doctoral Degree from IIT Madras, Chennai
- Former Professor & Head of Civil Engineering, Government Engineering College Thrissur
- Former Visiting Faculty to AIT Bangkok
- Fellow of Instituition of Engineers (India)
- Chartered Engineer Instituition of Engineer (India)
- Fellow of Indian society of Hydrologist
- Member of society for Fluid and power
- Member of Water Resources Society
- Member of Indian Society of Technical Education
- Member of Indian society of Hydraulics
Principal Consultant & Proprietor
Prof (Dr) N. Sajikumar has 31 years of experience in teaching, research and consultancy in the field of hydraulics and water resources engineering. During his tenure at the Department of Civil Engineering, Government Engineering College Thrissur (1990-2021), he has worked in various capacities such as Dean (Research), Dean (PG), Head of the Civil Engineering Department, founder coordinator of the PG programme in Water Resources and Hydro-informatics.
He also had an opportunity to work as a visiting faculty member at the Asian Institute of Technology, Bangkok, Thailand under the faculty secondment programme of the Government of India for teaching the course Geographic Information System
He has carried out consultancy projects in the field of Flood modelling and assessment, Water resources assessment, Water supply schemes, Hydraulic transients, Design of Check dams and Subsurface dams and other fields of Civil Engineering. His clients include Delhi Metro Rail Corporation, Kerala Water Authority, Kerala State Electricity Board, Local self Governments and private organisations.
He had master and doctoral degrees from the Indian Institute of Technology Madras, Chennai, a premier institution in technical education in India with NIRF ranking no.1 (2021).
His doctoral research topic was “rainfall-runoff modelling in data-scarce situation using artificial neural network”. He developed the codes for the applications (temporal back propagation and Adaptive resonance theory) and hence, has a thorough understanding of the system. His doctoral research has publications that have been identified to be some of the earliest articles in the application of ANN to Hydrology and have been cited even after 20/21 years of these publications.
https://www.sciencedirect.com/science/article/abs/pii/S002216949800273Xhttps://doi.org/10.1061/(ASCE)1084-0699(2000)5:3(290)
His research interest includes Rainfall-runoff modelling, Applications of deep learning to water resource engineering, Numerical modelling, Water hammer in piping systems, Groundwater flow modelling, Water-sharing pacts, Remote sensing applications to water quality modelling, GIS-based modelling, Contaminant transport, and Computational fluid dynamics.