Smart Electric and Hybrid Vehicles

Ajay Kumar is currently a Professor in the Mechanical Engineering Department, School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. He earned his Ph.D. in advanced manufacturing from Guru Jambheshwar University of Science & Technology, Hisar, India after B.Tech. (Hons.) and M.Tech. (Distinction) from Maharshi Dayanand University, Rohtak, India. His areas of research include artificial intelligence, intelligent manufacturing, incremental sheet forming, additive manufacturing, intelligent vehicles, advanced manufacturing, Industry 4.0, waste management, and optimization techniques. He has over 60 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. He has coauthored/ co- edited several books including the following: • Incremental Sheet Forming Technologies: Principles, merits, limitations, and applications, CRC Press, Taylor and Francis, ISBN 9780367276744, https://doi.org/10.1201/978042 9298 905 • Managing Guest Editor of Journal Proceedings, Ajay Kumar, Journal of Physics: Conference Series, Volume 1950, International Conference on Mechatronics and Artificial Intelligence (ICMAI) 2021 27 February 2021, Gurgaon, India, https://iop science.iop.org/issue/1742-6596/1950/1 • Advancements in Additive Manufacturing: Artificial Intelligence, Nature Inspired and Bio- manufacturing, ISBN: 9780323918343, ELSEVIER, https://doi.org/10.1016/C2020-0-03877-6 • Handbook of Sustainable Materials: Modelling, Characterization, and Optimization, CRC Press, Taylor and Francis, ISBN: 978-1-032-28632-7, https://doi.org/10.1201/9781003297772 • Waste Recovery and Management: An Approach Towards Sustainable Development Goals, CRC Press, Taylor and Francis, ISBN: 9781032281933, https://doi.org/10.1201/978100 3359784 • Smart Manufacturing: Forecasting the future of Industry 4.0, CRC Press, Taylor and Francis, ISBN: 9781032363431, https://doi.org/10.1201/978100 3333760 • Handbook of Flexible and Smart Sheet Forming Techniques: Industry 4.0 Perspectives, ISBN: 9781119986409, WILEY. https://onlinelibrary.wiley.com/doi/book/10.1002/9781119986454 • Modeling, Characterization, and Processing of Smart Materials, IGI Global, and ISBN: 9781668492246. DOI: 10.4018/978-1-6684-9224-6 He has organized various national and international events including an International Conference on Mechatronics and Artificial Intelligence (ICMAI- 2021) as conference chair. He has more than 15 national and international patents in his credit. He has supervised more than eight MTech, PhD scholars and numerous undergraduate projects/ theses. He has a total of 13 years of experience in teaching and research. He is a guest editor and review editor of reputed journals including Frontiers in Sustainability. D.K. Rajak is a scientist at CSIR- Advanced Materials and Processes Research Institute, Bhopal, Madhya Pradesh, India. He completed his Ph.D. from the Indian Institute of Technology (ISM), Dhanbad, Jharkhand. He received many prestigious awards and was recognized in the World Top 2% Scientists by Sanford University in 2022 & 2023. He has published over 100 peer reviewed journal papers and has three books, 16 book chapters, 18 patents, two designs, and one copyright. His recent work involves developing lightweight alloy composite foams and composites for applications requiring low density and high specific energy absorption in automobile, aerospace, marine, noise, and thermal management sectors. Parveen Kumar is currently an Assistant Professor and Head in the Department of Mechanical Engineering at Rawal Institute of Engineering and Technology, Faridabad, Haryana, India. Currently, he is pursuing a Ph.D. from the National Institute of Technology, Kurukshetra, Haryana, India. He completed his B.Tech. (Hons.) from Kurukshetra University, Kurukshetra, India and M.Tech. (Distinction) in Manufacturing and Automation from Maharshi Dayanand University, Rohtak, India. His areas of research include intelligent manufacturing systems, materials; die less forming, design of automotive systems, additive manufacturing, CAD/ CAM and artificial Intelligence, machine learning and Internet of Things in manufacturing, multi- objective optimization techniques. He has over 20 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. He has eight national and international patents in his credit. He has supervised more than ten M.Tech. scholars and numerous undergraduate projects/ theses. He has a total of 12 years of experience in teaching and research. He has co- authored/ co- edited several books including the following: • Waste Recovery and Management: An Approach Towards Sustainable Development Goals, CRC Press, Taylor and Francis, ISBN: 9781032281933, https://doi.org/10.1201/978100 3359784 • Handbook of Sustainable Materials: Introduction, Modelling, Characterization and Optimization, CRC Press, Taylor and Francis, ISBN: 9781032295874, https:// doi.org/ 10.1201/ 978100 3297 772 • Handbook of Smart Manufacturing: Forecasting the future of Industry 4.0, CRC Press, Taylor and Francis, ISBN: 9781032363431, https://doi.org/10.1201/9781003333760 • Handbook of Flexible and Smart Sheet Forming Techniques: Industry 4.0 Perspectives, ISBN: 9781119986409, WILEY. https:// online library.wiley.com/doi/book/10.1002/9781119986454 • Modeling, Characterization, and Processing of Smart Materials, IGI Global, and ISBN: 9781668492246. DOI: 10.4018/978-1-6684-9224-6 He has organized a series of Faculty Development Programmes, workshops, and seminars for researchers and UG level students. Sarita Rathee is an Assistant Professor in the Department of Electrical and Electronics Engineering, School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. She earned her M.Tech (Distinction) in electrical and electronics engineering from Maharshi Dayanand University, Rohtak, India after B.Tech. (Hons.) in electrical engineering. Her areas of research include artificial intelligence, IOT, cloud computing, Industry 4.0, waste management, and optimization techniques. She has over 10 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. She has more than five national and international patents to her credit. She has supervised more than four M.Tech scholars and numerous undergraduate projects/ theses. She has a total of five years of experience in teaching and research. She has won several proficiency awards during her career, including merit awards, best teacher awards, and so on. She is co-adviser of QCFI, Delhi Chapter student cell at JECRC University and has also authored many in-house course notes, lab manuals, monographs, and invited chapters in books. She has attended a series of Faculty Development Programs, International Conferences, workshops, and seminars for researchers, PhD, UG, and PG level students. She teaches the following courses at the graduate and postgraduate level: instrumentation engineering, IOT, FACTS devices, power electronics, electric vehicles and so on. She is associated with many research, academic, and professional societies in various capacities.

1. Smart Electric and Hybrid Vehicles Architecture. 2. Proof of Concept: An On-Road Recharging E-Vehicle. 3. Cylindrical Lithium-ion battery- Fundamentals, Design and Manufacturing processes. 4. Revolutionizing Vehicular Braking: The Uni-Booster Integrated Disc Brake System. 5. Analyzing the Impact of Bumper Height on Pedestrian Injuries using Explicit Dynamics. 6. Improvise in Sigma Level in automobile industries. 7. Navigating the roadmap of intelligent transport in Indian smart cities: Sectorial analysis, challenges and key elements of data science enabled solutions. 8. Enhancing Aircraft Inspection Through Computer Vision: Mitigating Human Error and Improving Safety. 9. Unleashing the Power of YOLOv5: Revolutionizing Person Detection and Counting in Restricted Zones. 10. Revolutionizing Cloud Computing Security with the Power of Artificial Intelligence: Advancements, Challenges, and Opportunities. 11. HDVF: Hazy object detection network based on variational features.