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Dr Digambar Pawar

vidwan id: 71149
Male

Associate Professor, School of Computer and Information Sciences
University of Hyderabad

Expertise

  • Computer Science Information Systems

Publications

Total Articles 24
Books 0
Proceedings 0

Publications

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Scopus

Citations 100
h-index 6

CrossRef

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Citations 23
h-index 3
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Bio

My research area includes Digital forensics, Cloud Computing, Cloud forensics and Cyber security

Personal Details

  • Male
  • Associate Professor , University of Hyderabad
  • University of Hyderabad, Prof CR Rao Road, Gachibowli
B.Tech
Other Institute 2001
Associate Professor Mar 2017 – Present
University of Hyderabad | School of Computer and Information Sciences
Lecturer Mar 2011 – Nov 2016
Birla Institute of Technology and Science | Computer Science and Information Systems
Scientist B Nov 2005 – Mar 2011
Centre for Development of Advanced Computing (C-DAC), Mohali

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Co-Authors (4)

Atul

Dr Atul Negi

University of Hyderabad

G

Dr G Geethakumari

Birla Institute of Technology and Science

Raghavendra

Dr Raghavendra Gowda D

Vardaman College of Engineering, Rangareddy

Lucy J.

Dr Lucy J. Gudino

Birla Institute of Technology and Science

Scholarly Work

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Scholarly Publications

LBOSELM: SDN control plane load balancing using online sequential extreme learning machine

Open Access
Article
Authors: SRIDEVI K.;SAIFULLA M.A.;PAWAR D.;NEGI A.

Image forgery classification and localization through vision transformers

Open Access
Article

LSTM-CNN-Based Hybrid Model for Image Forgery Detection-Digital Forensics Perspective

Open Access
Conference Paper

A Lightweight Privacy-Preserving and Authentication Model (LiPAM-FSG) for Fog-Based Smart Grids

Open Access
Conference Paper

PROTECTS: Progressive Rtl Obfuscation with ThrEshold Control Technique during architectural Synthesis

Open Access
Article

SMAKMS_FC: Secure Mutual Authentication and Key Management Scheme for Fog Computing

Open Access
Conference Paper

Unethical human action recognition using deep learning based hybrid model for video forensics

Open Access
Article

Deep learning-based forgery identification and localization in videos

Open Access
Article