kailash shaw

About

Dr. Kailash Shaw is AI/ML-driven Professor and R&D consultant with over 20 years of experience leading real-world, applied artificial intelligence projects across academia and industry. Specialized in Deep Learning, NLP, Bioinformatics, and Image Analytics with a strong portfolio of industry-consulting, patents, and government-funded research. Proven leadership in building interdisciplinary teams, developing AI-powered solutions for healthcare, transport, and retail sectors, and aligning curriculum with NEP and industry standards.
🧠 Key Skills
• Advanced NLP & Speech Emotion Recognition
• Deep Learning (CNN, GCN, Transformers, SWIN, ResNet) for Image/Video Analysis
• Bioinformatics & Medical AI (Protein Folding, ECG, Gene Expression)
• AI Tools: Python, R, MATLAB, Java | Frameworks: TensorFlow, Keras, Scikit-learn, PyTorch
• Industry-scale AI/ML pipelines, deployment & versioning (MLOps, Git, Docker)
• ERP, AI-Powered EdTech, Curriculum design aligned with NEP & NBA/NAAC

Employment

• Vishwakarma Institute of Technology
  2025 - Present
• Symbiosis International University Symbiosis Institute of Technology Associate Professor
  2021 - 2024
• D Y Patil College of Engineering, Akurdi, Pune Associate Professor
  2016 - 2021
• Gandhi Engineering College PROF
  2008 - 2016

Education

• SOA University PhD
  2012 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (39)

• CovMRI-Net: A Hybrid Deep Learning Model for COVID-19 Detection Using MRI Images
  2025 DOI: 10.1007/978-981-96-9242-2_34
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• Nonclinical Approaches to Autism Trait Prediction Using Deep Learning: An Extensive Review
  Journal of Computational and Cognitive Engineering 2025 DOI: 10.47852/bonviewJCCE52026197
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• Opticurve: an optimized informer-curvelet framework for enhanced hyperspectral image segmentation and classification
  International Journal of Information Technology 2025 DOI: 10.1007/S41870-024-02352-5
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• Hybrid ResNet152-EML model for Geo-spatial image classification
  International Journal of Information Technology 2024 DOI: 10.1007/S41870-023-01534-X
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• Sentiment analysis-based recommendation system for agricultural products
  International Journal of Information Technology 2024 DOI: 10.1007/S41870-023-01617-9
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• EffResUNet: Encoder Decoder Architecture for Cloud-Type Segmentation
  Big Data and Cognitive Computing 2022 DOI: 10.3390/bdcc6040150
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• Machine Learning Styles for Diabetic Retinopathy Detection: A Review and Bibliometric Analysis
  Big Data and Cognitive Computing 2022 DOI: 10.3390/bdcc6040154
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• Question Answer System: A State-of-Art Representation of Quantitative and Qualitative Analysis
  Big Data and Cognitive Computing 2022 DOI: 10.3390/bdcc6040109
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• Explainable Artificial Intelligence for Intrusion Detection System
  Electronics 2022 DOI: 10.3390/electronics11193079
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• Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems
  Frontiers in Public Health 2022 DOI: 10.3389/fpubh.2022.858282
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