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Dr. Deepak Kumar

Information Technology · University of the Cumberlands

https://researchid.co/deepak_kumar
@ucumberlands.edu
34Scopus Publications
700Google Scholar Citations
17Google Scholar h-index
29Google Scholar i10-index

Biography

Dr. Deepak Kumar received a Ph.D degree in Information Technology from University of the Cumberlands, KY, USA in 2022, an M.S in Computer Science from San Francisco Bay University, CA, USA, in 2016, and a B.E degree in Electronics & Communication Engineering from Visvesvaraya Technological University in 2008, Karnataka, India. His area of interest are the Internet of Things, Machine Learning, Big Data, Artificial Intelligence, Cyber Security, Blockchain, Large Language Model, Data Analytics etc. He has been working as Software Developer from last 12 years, where he has experience on web development, big data projects and machine learning implementation. He has been actively involved in research over the last 7 years. He is currently working at clinet Meta Inc., focusing on distributed computing, large language models (LLMs), privacy implementations, big data, and optimizing hardware resources to efficiently compute petabytes of data.

Education

1. Ph.D. in Information Technology (2022), University of the Cumberlands, Kentucky, USA. 2. Master’s in Computer Science (2016), San Francisco Bay University, California, USA. 3. Bachelor’s in Electronics & Communication Engineering: VTU (2008), India.

Recent Scopus Publications

  1. AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0
    Electronics Switzerland, 2026
  2. A walrus optimization-enhanced long short-term memory model for credit fraud detection in banking
    International Journal of Information Technology Singapore, 2025
  3. A Smart Optimization Model for Reliable Signal Detection in Financial Markets Using ELM and Blockchain Technology
    Fintech, 2025
  4. Enhanced Blockchain-Based Big Data Authentication for Distributed Environments: An Analytical Study
    2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2025, 2025
  5. Blockchain-enabled cybersecurity for IoT using elliptic curve cryptography and black winged kite model
    International Journal of Information Technology Singapore, 2025

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