Gourav Siddhad

Gourav Siddhad

Research Scholar (Ph.D.)
Department of Computer Science & Engineering
Indian Institute of Technology, Roorkee, India

Research Area

  • Brain-Computer Interface
  • EEG
  • Cancelable Biometrics
  • Machine Learning
  • Computer Vision

Contact Information

g_siddhad@cs.iitr.ac.in +91-988-988-1607

Profile

I am a research scholar (Ph.D.) in the Dept. of CSE, IITR, under the supervision of Dr. Partha Pratim Roy (Associate Professor, CSE, IITR). My research interests lie in the fields of Brain-Computer Interface, EEG, Cancelable Biometrics, Machine Learning, and Computer Vision.

I completed my Master of Technology (M.Tech) from PDPM Indian Institute of Information Technology, Design & Manufacturing, Jabalpur, under the supervision of Prof. Pritee Khanna (Professor, CSE, PDPM IIITDMJ) in 2020. My master’s dissertation looks at “Cancelable Biometrics for Low-End Devices”. I completed my Bachelor of Technology (B.Tech) in Computer Science from Hansraj College, University of Delhi, New Delhi, in 2017.

Doctoral Dissertation

Human Behavior Prediction using EEG: My area of research spans Brain-Computer Interface, Pattern Recognition, and applications of Deep Learning. My work primarily focuses on leveraging AI for extracting, analyzing, and interpreting the brain signals mathematically to learn more about the human mind and behavior.

Awards

  • IIITDMJ Proficiency Prize (Silver Medal) for the Best Thesis among PG Students of Computer Science and Engineering in Graduating Class of 2020.

Internships / Research Experience

  • Visited Osaka Metropolitan University, Osaka, Japan, under fully funded JST Sakura Science Program 2022 for research-related discussions from December 12th, 2022, to December 26th, 2022.

Scholarships

  • MHRD Scholarship for Master of Technology.

Membership of Professional Societies

 

Publications

Preprints

  • Gourav Siddhad, Masakazu Iwamura, Partha Pratim Roy. "Enhancing EEG Signal-based Emotion Recognition with Synthetic Data: Diffusion Model Approach". arXiv:2401.16878.
    [Paper]

Publications

  • Gourav Siddhad, Sayantan Dey, Partha Pratim Roy, Masakazu Iwamura. "Awake at the Wheel: Enhancing Automotive Safety through EEG-Based Fatigue Detection". 27th International Conference on Pattern Recognition (ICPR), 2024.
    [Paper] [Core2023: B]
     
  • Gourav Siddhad, Partha Pratim Roy, Byung-Gyu Kim. "Neural Network Meet Neural Activity: Utilizing EEG for Mental Workload Estimation". 27th International Conference on Pattern Recognition (ICPR), 2024.
    [Paper] [Core2023: B]
     
  • Gourav Siddhad, Sayantan Dey, Partha Pratim Roy. "DrowzEE-G-Mamba: Leveraging EEG and State Space Models for Driver Drowsiness Detection". 27th International Conference on Pattern Recognition (ICPR), 2024.
    [Paper] [Core2023: B]
     
  • Gourav Siddhad, Anmol Gupta, Debi Prosad Dogra, Partha Pratim Roy. "Efficacy of Transformer Networks for Classification of Raw EEG Data". Biomedical Signal Processing and Control. Volume 87, Part B, 105488, 2024.
    [Paper] [Q1] [IF: 5.1]
     
  • Gourav Siddhad, Pritee Khanna. "Max-min threshold-based cancelable biometric templates for low-end devices". Journal of Electronic Imaging. 31(3), 033025, 2022.
    [Paper] [Q2] [IF: 1.1]
     
  • Anmol Gupta, Gourav Siddhad, Vishal Pandey, Partha Pratim Roy, Byung-Gyu Kim. "Subject-Specific Cognitive Workload Classification Using EEG-Based Functional Connectivity and Deep Learning". MDPI Sensors. 2021; 21 (20):6710.
    [Paper] [Q1] [IF: 3.9]
     
  • Gourav Siddhad, Pritee Khanna, Aparajita Ojha. "Cancelable Biometric Template Generation Using Convolutional Autoencoder". International Conference on Computer Vision and Image Processing, Springer, Singapore. 303–314, 2021.
    [Paper]