Data Science for Civil Engineering

Dr. Rakesh K. Jain obtained his Ph.D in Civil Engineering specialization in Wireless Communication from Rajiv Gandhi Technical University, Bhopal (MP), India . Currently, he is working as Director of JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pune. He has more than 35 years of teaching, industry and research experience. He worked as a Principal of Dr. D.Y. Patil Institute of Technology, Pune, India for almost 10 years. Prior to this designation, he had worked as Lecturer, Assistant Professor, and Head of Civil Engineering at D. Y. Patil College of Engineering, Pune, India. Apart from being an academician, he worked in an Industry as a Site Engineer with Matrix Engineers, Pune, India. He has been working as an Expert Member of Civil Engineering Program in the Expert Committee for accreditation by NBA, New Delhi since last 5 years. He has published more than 75 research publications and 5 authored books to his credit by CRC Press. He has 5 patents to his credit. He is a recognized Ph. D guide of SSPU, Pune and 6 students have successfully defended their Ph.D. Dr. Prashant Shantaram Dhotre has completed his doctorate degree in Computer Science and Engineering from Aalborg University, Denmark in 2017. Currently, he is working as Professor in the Department of Information Technology at MIT Art, Design and Technology (MIT ADT) University, Pune, India. He has more than 18 years of teaching and research experience. He has 40 publications in International Journals and Conferences. He has authored 8 books like "Internet of Things Integrated Augmented Reality" (Springer Nature Press), "Context-aware Pervasive Systems and Application" (Springer Nature Press), "Theory of Computations", "Data Structures", and "Machine Learning'' (Technical Publication). A special book chapter was published in a book titled "Cyber Security and Privacy: Bridging the Gap'', from River Publication in Europe. His two chapters have been published in a book titled "Handbook on ICT in Developing Countries: Next Generation ICT Technologies'' from River Publication in Europe. His research interests include Algorithms, Privacy, Internet of Things and Turing Machine. He has visited a few countries like Denmark, France, Sweden, Germany, Norway, China, and UAE. Dr. Deepak Tatyasaheb Mane has completed his doctorate degree in Computer Science and Engineering from Swami Ramanand Marathwada University in 2019. He has more than 15.8 years of teaching and research experience. He has published 20 research papers in reputed international journals and has authored four Techmax publication books like "Principles of Programming Languages, "Fundamental of Programming Languages", "Programming Paradigms", and "Machine. His main research interest focuses on Machine Learning, Pattern classification, Supervised Clustering and Neural Network. Dr. Parikshit Narendra Mahalle is a senior member IEEE and is Professor and Head of Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph. D from Aalborg University, Denmark and continued as Post Doc Researcher at CMI, Copenhagen, Denmark. He has 22 + years of teaching and research experience. He has 9 patents, 200+ research publications (Google Scholar citations-2150 plus, H index-22 and Scopus Citations are 1100 plus with H index -15) and authored/edited 40+ books with CRC Press and other publishers. He is editor in chief for IGI Global –International Journal of Rough Sets and Data Analysis, Associate Editor for IGI Global - International Journal of Synthetic Emotions, Inter-science International Journal of Grid and Utility Computing, member-Editorial Review Board for IGI Global – International Journal of Ambient Computing and Intelligence. His research interests are Machine Learning, Data Science, Algorithms, Internet of Things, Identity Management and Security.

1. Introduction. 2. Mathematical Foundation for Data Science. 3. Environmental Data Analysis and Modelling. 4. Structural Engineering: Trends, Applications and Advances. 5. Data Science Application in Intelligent Transportation Systems. 6. Data-Driven Modelling in Water Resource Engineering. 7. Data Analysis Methods in Geomatics.