Sanjay Kumar Singh

Research

AI, biometrics, healthcare computing, and secure intelligent systems.

A research profile built from sponsored projects, patents, and selected publications listed in Prof. S. K. Singh's biodata.

Research Areas

Biometrics and Identity Systems

Face, fingerprint, newborn, cattle, pet animal, ECG, ear, and multimodal biometric recognition with attention to robustness and security.

AI for Healthcare and Biomedical Data

Histopathology, cancer image classification, CAD systems, therapeutic peptide discovery, antibiotic discovery, and clinical decision support.

IoT, Smart Systems, and Sensing

Animal health ecosystems, smart buildings, energy forecasting, IoT device security, EEG classifiers, and precision livestock applications.

Multimedia Security and Computer Vision

Watermarking, video authentication, tampering detection, face detection, privacy-preserving systems, and secure cloud media workflows.

Sponsored Projects

DBT

Intelligent CAD for Canine Mammary Tumours

Duration
2020-2023
Role
PI
Cost
60.91849 lakh

NASF

Developing Novel Therapeutic Strategies for Mitigating Antimicrobial Resistance

Duration
2022-2025
Role
PI
Cost
153.89064 lakh

NASF

AI and IoT Based Smart Vet Ecosystem for Animal Health, Patient Care and Precision Livestock Farming

Duration
2023-2026
Role
PI
Cost
215.38632 lakh

Patents

  • A method and system for identifying cattle by combining unique identification of owner and cattle, granted in India, 2024
  • A system and method for real-time cattle recognition using muzzle images
  • A biometric based method and system for identifying an infant
  • A biometric based system and method for management of pet animal
  • IoT-based pet dog health monitoring and kennel cough detection system

Selected Publications

  • An Interpretable Electric Vehicles Battery State of Charge Estimation using MHDTCN-GRU, IEEE Transactions on Vehicular Technology, 2025
  • Enhancing electroencephalogram signal quality in epileptic patients using bidirectional stochastic long short-term memory network, Neural Computing and Applications, 2025
  • XAI-INVENT: An explainable artificial intelligence based framework for rapid discovery of novel antibiotics, Computers and Electrical Engineering, 2025
  • SLIDE-Net: A Sequential Modeling Approach with Adaptive Fuzzy C-Mean Empowered Data Balancing Policy for IDC Detection, IEEE Transactions on Fuzzy Systems, 2024
  • Data Augmentation for Medical Image Classification based on Gaussian Laplacian Pyramid Blending with a Similarity Measure, IEEE Journal of Biomedical and Health Informatics, 2024
  • Opportunities and Challenges in Data-Centric AI, IEEE Access, 2024
  • Designing new blood-brain barrier penetrating molecules using novel hybridized gravitational search algorithm and explainable AI, IEEE Transactions on Artificial Intelligence, 2023
  • Potential Impact of Data-Centric AI on Society, IEEE Technology and Society Magazine, 2023