Artificial Intelligence and Machine Learning Techniques in Engineering and Management

Dr. K. Srinivasa Raju is Senior Professor at the Department of Civil Engineering, BITS Pilani - Hyderabad Campus, India. He completed Ph.D. from the Indian Institute of Technology Kharagpur.  His main research interests include artificial intelligence, machine learning, the impact of climate change, and multicriterion decision-making. He has authored three books along with Prof. D. Nagesh Kumar, IISc, Bangalore, namely, Fluid Mechanics: Problem-solving using MATLAB (2020); Impact of Climate Change on Water Resources (2018); and Multicriterion Analysis in Engineering and Management (2010). He published more than 58 journal papers, 12 book chapters, and 88 conference papers. He edited five books and was a guest editor for three special issues of journals. He has been a reviewer for more than 45 international journals. Presently, he is Managing Editor of the Journal of Water and Climate Change and Associate Editor of ISH Journal of Hydraulic Engineering. He is also Editorial Board Member of Scientific Reports-Springer Nature.Dr. D. Nagesh Kumar is Professor at the Department of Civil Engineering at the Indian Institute of Science (IISc), Bangalore, India. He completed Ph.D. from IISc Bangalore. He is presently working as Edward M Curtis Visiting Professor, Lyles School of Civil and Construction Engineering, Purdue University, West Lafayette, USA, on sabbatical from IISc. He is Fellow of the Indian Academy of Sciences, Indian National Science Academy, and National Academy of Sciences. He held the Prof. Satish Dhawan Chair Professor position from 2018-21. He was the Chairman, Centre for Earth Sciences, IISc, during 2014-20. He was a Boyscast Fellow with Utah Water Research Laboratory, Utah State University, Logan, UT, USA, in 1999 and Visiting Professor in EMSE, St. Etienne, France in 2012. His research interests include climate hydrology, climate change, water resource systems, deep learning, evolutionary algorithms, fuzzy logic, MCDM, and Remote sensing & GIS applications in water resource engineering. He has supervised 10 Post-Docs and 22 Ph.D.s. He is co-author of 8 books and published more than 240 papers. He has received funding support of more than INR 50 crores for sponsored research. He is Editor-in-chief of Journal of Water and Climate Change and Associate Editor of ASCE Journal of Hydrologic Engineering.

• Chapter 1. Introduction.- Chapter 2. Description of Performance Indicators.- Chapter 3. Classical Machine Learning Algorithms.- Chapter 4. Advanced Machine Learning Algorithms.- Chapter 5. Fuzzy-based Modelling techniques.- Chapter 6. Emerging Research Areas.- Chapter 7. Case Studies.