Ajit Behera is currently working as an Asst. Professor in the Department of Metallurgical & Materials Engineering at National Institute of Technology, Rourkela. He completed his PhD from IIT-Kharagpur in 2016. He received the National "IEI Young Engineer Award" in 2022, "Yuva Rattan Award" in 2020, "C.V. Raman Award" in 2019 and "young faculty award" in 2017. He has published more than 202 publications including book, book chapter, and journals. 5 students have completed their PhD under his supervision. More than 10 PhD students from his institute/outside the institute are working on different research projects with him. He has successfully completed 25 industrial/research projects and organized 12 industrial academia collaborating conferences. He is listed in top 2% scientist list in the world ranking.Manisha Priyadarshini is an Assistant professor in CGU-BEST centre, C. V. Raman Global University, Bhubaneswar, India. She holds a PhD in Mechanical Engineering from the National Institute of Technology, Rourkela. With more than 40 research publications in reputed international journals and conferences, her work focuses on advanced mechanical aspects and manufacturing technologies with energy effeciency. She has collaborated with researchers, academicians, and industry experts on several projects and serves as a peer reviewer for published journals.

• Part 1: Shape Memory Materials (SMM). Chapter 1. Shape memory materials: An introduction. Chapter 2. Historical Background of SMM. Chapter 3. Shape memory effect and Pseudoelasticity. Chapter 4. Types of Stimuli Influencing the Shape Recovery. Chapter 5. Effect of Training in Shape Memory Material (SMM). Chapter 6. Measurement Techniques of Shape Recovery. Chapter 7. Future manufacturing in shape memory materials. Part 2: Shape Memory Alloys (SMA). Chapter 8. Shape memory alloys: An introduction. Chapter 9. Classification of Shape Memory Alloy. Chapter 10. Phase Transformation Phenomena in Shape Memory Alloys. Chapter 11. Synthesis Techniques of Shape Memory Alloys. Chapter 12. Effect of Various Parameters on Shape Recovery of Shape Memory Alloys. Chapter 13. Properties of Shape Memory Alloys. Chapter 14. Emerging Applications of Shape Memory Alloys. Part 3: Shape Memory Polymer (SMP). Chapter 15. Shape memory polymers: An introduction. Chapter 16. Classification of shape memory polymers. Chapter 17. Training technique and stability of smart material polymer nanocomposites. Chapter 18. Phase Transition in Shape Memory Polymers. Chapter 19. Effects of Various Parameters on the Performance of Shape-Memory Polymer Nanocomposites. Chapter 20. Classification of Shape Memory Polymers. Chapter 21. Properties of Shape memory polymers

Ajit Behera is currently working as an Asst. Professor in the Department of Metallurgical & Materials Engineering at National Institute of Technology, Rourkela. He completed his PhD from IIT-Kharagpur in 2016. He received the National "IEI Young Engineer Award" in 2022, "Yuva Rattan Award" in 2020, "C.V. Raman Award" in 2019 and "young faculty award" in 2017. He has published more than 202 publications including book, book chapter, and journals. 5 students have completed their PhD under his supervision. More than 10 PhD students from his institute/outside the institute are working on different research projects with him. He has successfully completed 25 industrial/research projects and organized 12 industrial academia collaborating conferences. He is listed in top 2% scientist list in the world ranking.Manisha Priyadarshini is an Assistant professor in CGU-BEST centre, C. V. Raman Global University, Bhubaneswar, India. She holds a PhD in Mechanical Engineering from the National Institute of Technology, Rourkela. With more than 40 research publications in reputed international journals and conferences, her work focuses on advanced mechanical aspects and manufacturing technologies with energy effeciency. She has collaborated with researchers, academicians, and industry experts on several projects and serves as a peer reviewer for published journals.

• Part 1: Shape Memory Materials (SMM). Chapter 1. Shape memory materials: An introduction. Chapter 2. Historical Background of SMM. Chapter 3. Shape memory effect and Pseudoelasticity. Chapter 4. Types of Stimuli Influencing the Shape Recovery. Chapter 5. Effect of Training in Shape Memory Material (SMM). Chapter 6. Measurement Techniques of Shape Recovery. Chapter 7. Future manufacturing in shape memory materials. Part 2: Shape Memory Alloys (SMA). Chapter 8. Shape memory alloys: An introduction. Chapter 9. Classification of Shape Memory Alloy. Chapter 10. Phase Transformation Phenomena in Shape Memory Alloys. Chapter 11. Synthesis Techniques of Shape Memory Alloys. Chapter 12. Effect of Various Parameters on Shape Recovery of Shape Memory Alloys. Chapter 13. Properties of Shape Memory Alloys. Chapter 14. Emerging Applications of Shape Memory Alloys. Part 3: Shape Memory Polymer (SMP). Chapter 15. Shape memory polymers: An introduction. Chapter 16. Classification of shape memory polymers. Chapter 17. Training technique and stability of smart material polymer nanocomposites. Chapter 18. Phase Transition in Shape Memory Polymers. Chapter 19. Effects of Various Parameters on the Performance of Shape-Memory Polymer Nanocomposites. Chapter 20. Classification of Shape Memory Polymers. Chapter 21. Properties of Shape memory polymers

Ajit Behera is currently working as an Asst. Professor in the Department of Metallurgical & Materials Engineering at National Institute of Technology, Rourkela. He completed his PhD from IIT-Kharagpur in 2016. He received the National "IEI Young Engineer Award" in 2022, "Yuva Rattan Award" in 2020, "C.V. Raman Award" in 2019 and "young faculty award" in 2017. He has published more than 202 publications including book, book chapter, and journals. 5 students have completed their PhD under his supervision. More than 10 PhD students from his institute/outside the institute are working on different research projects with him. He has successfully completed 25 industrial/research projects and organized 12 industrial academia collaborating conferences. He is listed in top 2% scientist list in the world ranking.Manisha Priyadarshini is an Assistant professor in CGU-BEST centre, C. V. Raman Global University, Bhubaneswar, India. She holds a PhD in Mechanical Engineering from the National Institute of Technology, Rourkela. With more than 40 research publications in reputed international journals and conferences, her work focuses on advanced mechanical aspects and manufacturing technologies with energy effeciency. She has collaborated with researchers, academicians, and industry experts on several projects and serves as a peer reviewer for published journals.

• Part 1: Shape Memory Materials (SMM). Chapter 1. Shape memory materials: An introduction. Chapter 2. Historical Background of SMM. Chapter 3. Shape memory effect and Pseudoelasticity. Chapter 4. Types of Stimuli Influencing the Shape Recovery. Chapter 5. Effect of Training in Shape Memory Material (SMM). Chapter 6. Measurement Techniques of Shape Recovery. Chapter 7. Future manufacturing in shape memory materials. Part 2: Shape Memory Alloys (SMA). Chapter 8. Shape memory alloys: An introduction. Chapter 9. Classification of Shape Memory Alloy. Chapter 10. Phase Transformation Phenomena in Shape Memory Alloys. Chapter 11. Synthesis Techniques of Shape Memory Alloys. Chapter 12. Effect of Various Parameters on Shape Recovery of Shape Memory Alloys. Chapter 13. Properties of Shape Memory Alloys. Chapter 14. Emerging Applications of Shape Memory Alloys. Part 3: Shape Memory Polymer (SMP). Chapter 15. Shape memory polymers: An introduction. Chapter 16. Classification of shape memory polymers. Chapter 17. Training technique and stability of smart material polymer nanocomposites. Chapter 18. Phase Transition in Shape Memory Polymers. Chapter 19. Effects of Various Parameters on the Performance of Shape-Memory Polymer Nanocomposites. Chapter 20. Classification of Shape Memory Polymers. Chapter 21. Properties of Shape memory polymers