Prof. Xiao-Zhi Gao received his B.Sc. and M.Sc. degrees from the Harbin Institute of Technology, China, in 1993 and 1996, respectively. He obtained his D.Sc. (Tech.) degree from the Helsinki University of Technology (now Aalto University), Finland, in 1999. He has been working as a Professor at the University of Eastern Finland, Finland, since 2018. He is also a Guest Professor at the Harbin Institute of Technology, Beijing Normal University, and Shanghai Maritime University, China. Prof. Gao has published more than 400 technical papers on refereed journals and international conferences, and his current Google Scholar H-index is 30. His research interests are nature-inspired computing methods with their applications in optimization, data mining, machine learning, control, signal processing, and industrial electronics. Prof. Shailesh Tiwari currently working as a Professor in Computer Science and Engineering Department, ABES Engineering College, Ghaziabad, India.He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India. His primary areas of research are software testing, implementation of optimization algorithms, and machine learning techniques in various problems. He has published more than 50 publications in international journals and in proceedings of international conferences of repute. He is editing Scopus, SCI, and E-SCI-indexed journals. He has organized several international conferences under the banner of IEEE and Springer. He is a senior member of IEEE, member of IEEE Computer Society, and Fellow of Institution of Engineers (FIE). Dr. Munesh Chandra Trivedi currently working as an Associate Professor in the Department of CSE, NIT Agartala, Tripura, India. He has published 20 textbooks and 80 research publications in different international journals and proceedings of international conferences of repute. He has received Young Scientist and numerous awards from different national as well as international forums. He has organized several international conferences technically sponsored by IEEE, ACM, and Springer. He is on the review panel of IEEE Computer Society, International Journal of Network Security, Pattern Recognition Letter, and Computer & Education (Elsevier’s Journal). He is an executive committee member of IEEE India Council and IEEE Asia Pacific Region 10. Dr. Krishn Kumar Mishra is currently working as Assistant Professor, Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology Allahabad, India. He has also been worked as Visiting Faculty in the Department of Mathematics and Computer Science, University of Missouri, St. Louis, USA. His primary areas of research include evolutionary algorithms, optimization techniques and design, and analysis of algorithms. He has also published more than 50 publications in international journals and in proceedings of internal conferences of repute. He is serving as a programcommittee member of several conferences and also edited Scopus and SCI-indexed journals. He is also a member of reviewer board of Applied Intelligence Journal, Springer.

• Part 1: Intelligent Computational Science.- Chapter 1. Influence of Wind Speed on Solar PV Plant Power Production - Prediction Model Using Decision Based Artificial Neural Network.- Chapter 2. Prediction of Compressive Strength of Ultra-High Performance Concrete using SFS and ANN.- Chapter 3. Classification of Plant Based on Leaf Images.- Chapter 4. Controller Optimization for Boiler Turbine Using Simulated Annealing and Genetic Algorithm.- Chapter 5. Indian Language Identification for Short Text.- Chapter 6. Improved Whale Optimization Algorithm for Numerical Optimization.- Chapter 7. A Matrix Based Approach for Evaluation of Vocal Renditions in Hindustani Classical Music.- Chapter 8. Performance Analysis of ML Algorithms on Speech Emotion Recognition.- Chapter 9. EEPMS: Energy Efficient Path Planning for Mobile Sink in Wireless Sensor Networks: A Genetic Algorithm based Approach.- Chapter 10. Mining Public Opinion on Plastic Ban in India. Chapter 11. Whale Neuro-Fuzzy System for Intrusion Detection in Wireless Sensor Network.- Part 2: Advanced Security Techniques.- Chapter 12. The Threat Detection Framework for Securing Semantic Web Services based on XACML.- Chapter 13. Real-Time Detection of Fake Account in Twitter using Machine Learning Approach.- Chapter 14. DPLOOP: Detection & Prevention of Loopholes in Web Application Security.- Chapter 15. Security Enhancement using Modified AES and Diffie-Hellman Key Exchange.- Chapter 16. Detection of Advanced Linux Malware using Machine Learning.- Chapter 17. Host-Server based Malware Detection System for Android Platforms Using Machine Learning.-Chapter 18. Identification of Windows based Malware by Dynamic Analysis using Machine Learning Algorithm.- Chapter 19. Secure E-mail Communications through Cryptographic Techniques – A Study.- Chapter 20. Current trends in Cryptography, Steganography and Metamorphic Cryptography: A survey.