Mohammad Wani

Mohammad Wani is a professor at Bournemouth University, with extensive contributions across multiple disciplines. His research focuses on machine learning, deep learning, and bioinformatics, particularly in protein secondary structure prediction and steganography using generative adversarial networks. He also explores agricultural biotechnology through chemical mutagenesis and crop improvement in lentil and cowpea species, as well as tribological studies in mechanical systems.

• Key Research Areas:
  • Deep learning for image and text processing
  • Protein structure prediction with neural networks
  • Steganography and data security
  • Chemical/radiation-induced crop mutagenesis
  • Tribological properties of advanced materials
• Publication Trends:
  • Recent work emphasizes multi-stage GAN models for steganography and stacked CNN-GRU architectures for protein structure analysis
  • Collaborates on agricultural sustainability and nanoparticle toxicity studies
  • Active in conference proceedings for machine learning and renewable energy applications
• Academic Leadership:
  • Co-edited proceedings for ICMLA 2024 and similar conferences
  • Regular contributor to Studies in Big Data book series