Dr. Krishna Kumar Jha

About

Research Fellow at INTI International University, Persiaran Perdana BBN, 71800 Nilai, Negeri Sembilan, Malaysia

Working as an associate professor (senior grade) in the Department of Information Technology at Guru Nanak Institute of Technology.

Worked as an associate professor in the Department of Computer Science and Engineering at Swami Vivekananda Institute of Science and Technology.

Worked as an assistant professor in the Department of Computer Science and Engineering at Calcutta Institute of Technology.

Employment

• INTI International University Research Fellow
  2026 - 2028
• Guru Nanak Institute of Technology Associate Professor
  2024 - Present
• Swami Vivekananda Institute of Science and Technology Associate Professor and Head of Department
  2023 - 2025
• Calcutta Institute of Technology Assistant Professor and Teacher In Charge
  2008 - 2023

Education

• Maulana Abul Kalam Azad University of Technology, West Bengal PhD

Projects & Funding

Projects & funding information is unavailable.

Publications (33)

• Self-healing cryptographic device with distributed key storage and automatic recovery
  Invention Disclosure 2026 DOI: 10.1016/j.inv.2026.100059
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• FDDM Employed for the Detection and Characterization of Fish Disease
  2026 DOI: 10.1007/978-3-032-14772-1_28
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• Evaluation of Mechanical Behaviour of Tungsten Carbide and Magnesium Reinforced Aluminium Matrix Composites
  JOURNAL OF POLYMER AND COMPOSITES 2026 DOI: 10.37591/jopc.v14i03.242942
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• Deep Learning Approached Training and Prediction (DLATP): A Novel Method for Early Detection of Lungs Cancer Using CT Scan Images
  2026 DOI: 10.1007/978-981-96-8799-2_30
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• Automated Microstructure Classification with Class-Specific Segmentation for Titanium Based Composite Materials
  JOURNAL OF POLYMER AND COMPOSITES 2026 DOI: 10.37591/jopc.v14i03.243383
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• Analysis of Diabetic Retinopathy Detection Using Segmentation Methods and Deep Learning
  2026 DOI: 10.1007/978-981-96-8799-2_29
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• TeadiagnosticX: A Deep Residual CNN Framework for Tea Leaf Disease Classification with Multilingual Intelligent Dashboard Support
  2026 DOI: 10.1109/SIGNASS67826.2026.11479967
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• Deep Multimodal Edge-Deployable Neural Architecture for IoT-Based Autism Detection Using EEG and Facial Biomarkers
  Recent Advances in Computer Science and Communications 2026 DOI: 10.2174/0126662558437934260226205950
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• An XAI-Driven Cross-Attentive Dual-Branch CNN (CADBCNN) for leukemia subtype classification from peripheral blood smear images
  Franklin Open 2026 DOI: 10.1016/j.fraope.2026.100609
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• OCEANML: A MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF OCEAN BASED NATURAL DISASTERS
  IIP Series 2026 DOI: 10.58532/nbennuraisd4
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