Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing

About

Amit Kumar Tyagi PhD is an Assistant Professor at the National Institute of Fashion Technology New Delhi India. Previously he was an Assistant Professor (Senior Grade 2) and Senior Researcher at Vellore Institute of Technology (VIT) Chennai Tamilandu India from 2019 to 2022. He earned a PhD in 2018 at Pondicherry Central University Puducherry India. Dr. Tyagi joined the Lord Krishna College of Engineering Ghaziabad (LKCE) from 2009 to 2010 and from 2012 to 2013. He was an Assistant Professor and Head of Research Lingayas Vidyapeeth (formerly known as Lingayas University) Faridabad Haryana India from 2018 to 2019. His supervision experience includes more than ten masters dissertations and one PhD thesis. He has contributed to several projects such as AARIN and P3-Block to address some of the open issues related to privacy breaches in vehicular applications (such as parking) and medical cyber physical systems (MCPS). He has published over 200 papers in refereed high-impact journals conferences and books and some of his articles were awarded best paper awards. Dr. Tyagi has filed more than 25 patents (nationally and internationally) in the areas of deep learning internet of things cyber physical systems and computer vision. He has edited more than 25 books for IET Elsevier Springer CRC Press etc. Also Dr. Tyagi has authored four books on intelligent transportation systems vehicular ad-hoc network machine learning and internet of things with IET UK Springer Germany and BPB India. He is a winner of faculty research awards for 2020 2021 and 2022 (three consecutive years) given by the Vellore Institute of Technology Chennai India. Recently he was awarded the best paper award for a paper titled A Novel Feature Extractor Based on the Modified Approach of Histogram of Oriented Gradient in ICCSA 2020 Italy (Europe). His research focuses on next-generation machine-based communications blockchain technology smart and secure computing and privacy. He is a regular member of ACM IEEE MIRLabs Ramanujan Mathematical Society Cryptology Research Society Universal Scientific Education and Research Network CSI and ISTE.Shrikant Tiwari PhD is an Associate Professor in the Department of Computer Science and Engineering (CSE) School of Computing Science and Engineering (SCSE) at Galgotias University Greater Noida Uttar Pradesh India. Dr. Tiwari also is a Senior Member of IEEE. He earned a PhD in computer science and engineering at the Indian Institute of Technology (Banaras Hindu University) Varanasi India in 2012 and an MTech in computer science and technology at the University of Mysore India in 2009. He has authored or co-authored more than 75 national and international journal publications book chapters and conference articles. He has five patents filed to his credit. His research interests include machine learning deep learning computer vision medical image analysis pattern recognition and biometrics. Dr. Tiwari is a member of ACM IET FIETE CSI ISTE IAENG and SCIEI. He is also a guest editorial board member and a reviewer for many international journals of repute.Gulshan Soni PhD is an Associate Professor and Principal in Charge in the Computer Science Engineering Department at the School of Engineering and Information Technology Mahaveer Academy of Technology and Science University (MATS University) Raipur India. He earned a PhD at Pondicherry University India along with a BTech at the National Institute of Technology (NIT) Raipur India and an ME at the National Institute of Technical Teachers Training and Research (NITTTR) Chandigarh India. His research interests include wireless sensor networks wireless body area networks MAC protocols and routing protocols as well as distributed computing. Dr. Soni has published extensively in reputable journals and presented at national and international conferences. With over eight years of teaching experience he brings valuable expertise to both government and private academic institutions in India.