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Computer Science

D-Index
32
Citations
3844
World Ranking
13240
National Ranking
151

Overview

Debi Prosad Dogra is affiliated with the Indian Institute of Technology Bhubaneswar in India. Their research primarily spans the fields of Computer Science and Engineering, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Human-Computer Interaction, and Computer Networks and Communications.

The main research topics covered by Debi Prosad Dogra include Anomaly Detection Techniques and Applications, Video Surveillance and Tracking Methods, EEG and Brain-Computer Interfaces, Human Pose and Action Recognition, Network Security and Intrusion Detection, Gaze Tracking and Assistive Technology, and Image Retrieval and Classification Techniques.

Debi Prosad Dogra has contributed extensively to various publication venues. Frequent venues include arXiv (Cornell University), Multimedia Tools and Applications, Biomedical Signal Processing and Control, IEEE Transactions on Intelligent Transportation Systems, and Expert Systems with Applications.

Among the recent papers published by Debi Prosad Dogra are:

  • EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm (2020, Biomedical Signal Processing and Control)
  • Exploring Impact of Age and Gender on Sentiment Analysis Using Machine Learning (2020, Electronics)
  • A Survey on Neuromarketing Using EEG Signals (2021, IEEE Transactions on Cognitive and Developmental Systems)
  • Vehicular Trajectory Classification and Traffic Anomaly Detection in Videos Using a Hybrid CNN-VAE Architecture (2021, IEEE Transactions on Intelligent Transportation Systems)
  • A multimodal-Siamese Neural Network (mSNN) for person verification using signatures and EEG (2021, Information Fusion)

The scientist has frequently collaborated with a number of coauthors, including Partha Pratim Roy, Heeseung Choi, Ig-Jae Kim, Arif Ahmed Sekh, and Kamalakar Vijay Thakare.

Best Publications

  • Analysis of EEG signals and its application to neuromarketing

    Mahendra Yadava;Pradeep Kumar;Rajkumar Saini;Partha Pratim Roy

  • Coupled HMM-based multi-sensor data fusion for sign language recognition

    Pradeep Kumar;Himaanshu Gauba;Partha Pratim Roy;Debi Prosad Dogra

  • A multimodal framework for sensor based sign language recognition

    Pradeep Kumar;Himaanshu Gauba;Partha Pratim Roy;Debi Prosad Dogra

  • EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm

    Debashis Das Chakladar;Shubhashis Dey;Partha Pratim Roy;Debi Prosad Dogra

  • Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey

    Santhosh Kelathodi Kumaran;Debi Prosad Dogra;Partha Pratim Roy

  • Prediction of advertisement preference by fusing EEG response and sentiment analysis.

    Himaanshu Gauba;Pradeep Kumar;Partha Pratim Roy;Priyanka Singh

  • Envisioned speech recognition using EEG sensors

    Pradeep Kumar;Rajkumar Saini;Partha Pratim Roy;Pawan Kumar Sahu

  • Trajectory-Based Surveillance Analysis: A Survey

    Sk. Arif Ahmed;Debi Prosad Dogra;Samarjit Kar;Partha Pratim Roy

  • Independent Bayesian classifier combination based sign language recognition using facial expression

    Pradeep Kumar;Partha Pratim Roy;Debi Prosad Dogra

  • A position and rotation invariant framework for sign language recognition (SLR) using Kinect

    Pradeep Kumar;Rajkumar Saini;Partha Pratim Roy;Debi Prosad Dogra

  • EEG-Based Age and Gender Prediction Using Deep BLSTM-LSTM Network Model

    Pallavi Kaushik;Anmol Gupta;Partha Pratim Roy;Debi Prosad Dogra

  • Fingertip Detection and Tracking for Recognition of Air-Writing in Videos

    Sohom Mukherjee;Sk. Arif Ahmed;Debi Prosad Dogra;Samarjit Kar

  • deepGesture: Deep learning-based gesture recognition scheme using motion sensors

    Ji-Hae Kim;Gwang-Soo Hong;Byung-Gyu Kim;Debi Prosad Dogra

  • Exploring Impact of Age and Gender on Sentiment Analysis Using Machine Learning

    Sudhanshu Kumar;Monika Gahalawat;Partha Pratim Roy;Debi Prosad Dogra

  • Computer-Vision-Assisted Palm Rehabilitation With Supervised Learning

    K. M. Vamsikrishna;Debi Prosad Dogra;Maunendra Sankar Desarkar

  • Study of Text Segmentation and Recognition Using Leap Motion Sensor

    Pradeep Kumar;Rajkumar Saini;Partha Pratim Roy;Debi Prosad Dogra

  • Computer-Vision-Guided Human Pulse Rate Estimation: A Review

    Arindam Sikdar;Santosh Kumar Behera;Debi Prosad Dogra

  • Multimodal Gait Recognition With Inertial Sensor Data and Video Using Evolutionary Algorithm

    Pradeep Kumar;Subham Mukherjee;Rajkumar Saini;Pallavi Kaushik

  • Real-time recognition of sign language gestures and air-writing using leap motion

    Pradeep Kumar;Rajkumar Saini;Santosh Kumar Behera;Debi Prosad Dogra

  • A Survey on Neuromarketing using EEG Signals

    Vaishali Khurana;Monika Gahalawat;Pradeep Kumar;Partha Pratim Roy

  • Vehicular Trajectory Classification and Traffic Anomaly Detection in Videos Using a Hybrid CNN-VAE Architecture

    Kelathodi Kumaran Santhosh;Debi Prosad Dogra;Partha Pratim Roy;Adway Mitra

  • A bio-signal based framework to secure mobile devices

    Pradeep Kumar;Rajkumar Saini;Partha Pratim Roy;Debi Prosad Dogra

Frequent Co-Authors

Partha Pratim Roy
Partha Pratim Roy Indian Institute of Technology Dhanbad
Pradeep Kumar
Pradeep Kumar Indian Institute of Technology Roorkee
Samarjit Kar
Samarjit Kar National Institute of Technology Durgapur
Arun Majumdar
Arun Majumdar Stanford University
Shamik Sural
Shamik Sural Indian Institute of Technology Kharagpur
Bidyut B. Chaudhuri
Bidyut B. Chaudhuri Indian Statistical Institute
Erik Scheme
Erik Scheme University of New Brunswick
Lyudmila Mihaylova
Lyudmila Mihaylova University of Sheffield
Victor Chang
Victor Chang Aston University
Balasubramanian Raman
Balasubramanian Raman Indian Institute of Technology Roorkee

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