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  • Kumar, Tyagi Amit

Entry Nombre personal

Number of records used in: 1

001 - NÚMERO DE CONTROL

  • campo de control: 682382

003 - IDENTIFICADOR DEL NÚMERO DE CONTROL

  • campo de control: DLC

005 - FECHA Y HORA DE LA ÚLTIMA TRANSACCIÓN

  • campo de control: 20220220140842.0

008 - DATOS DE LONGITUD FIJA

  • campo de control de longitud fija: 210706n| azannaabn |n aaa

010 ## - NÚMERO DE CONTROL DE LA BIBLIOTECA DEL CONGRESO

  • Número de control de LC: n 2021036767

035 ## - NÚMERO DE CONTROL DEL SISTEMA

  • Número de control de sistema: (Uk)011090893

040 ## - FUENTE DE LA CATALOGACIÓN

  • Centro catalogador/agencia de origen: DLC
  • Lengua de catalogación: eng
  • Normas de descripción: rda
  • Centro/agencia transcriptor: DLC
  • Centro/agencia modificador: Uk

100 1# - ENCABEZAMIENTO-NOMBRE DE PERSONA

  • Nombre de persona: Kumar, Tyagi Amit

670 ## - FUENTE DE DATOS ENCONTRADOS

  • Cita de la fuente: Security and privacy-preserving techniques in wireless robotics, 2021:
  • Información encontrada: ECIP t.p. (Kumar Tyagi Amit, editor) editor ECIP info (Amit Kumar Tyagi is Assistant Professor (Senior Grade), and Senior Researcher at Vellore Institute of Technology (VIT), Chennai Campus, India. He received his Ph.D. Degree in 2018 from Pondicherry Central University, India. He joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) for the periods of 2009-2010, and 2012-2013. He was an Assistant Professor and Head- Research, Lingaya's Vidyapeeth (formerly known as Lingaya's University), Faridabad, Haryana, India in 2018-2019. His current research focuses on Machine Learning with Big data, Blockchain Technology, Data Science, Cyber Physical Systems, Smart and Secure Computing and Privacy. He has contributed to several projects such as "AARIN" and "P3- Block" to address some of the open issues related to the privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber Physical Systems (MCPS). Also, he has published more than 15 patents in the area of Deep Learning, Internet of Things, Cyber Physical Systems and Computer Vision. Recently, he has awarded best paper award for paper titled "A Novel Feature Extractor Based on the Modified Approach of Histogram of oriented Gradient", ICCSA 2020, Italy (Europe). He is a regular member of the ACM, IEEE, MIRLabs, Ramanujan Mathematical Society, Cryptology Research Society, and Universal Scientific Education and Research Network, CSI and ISTE)