Dr. Sm Zobaed – Assistant Professor

Dr. Sm Zobaed

Assistant Professor
Department of Computer Science and Engineering Technology

Office Location: EASC 2033
Tel: (337) 806-6598
Email: szobaed@umes.edu
LinkedIn: Dr. Sm Zobaed’s Profile

 

Research Interests

  • Natural Language Processing
  • Edge Computing

Academic Background

  • Ph.D. in Computer Science – University of Louisiana at Lafayette (2022)
  • M.S. in Computer Science – University of Louisiana at Lafayette (2019)
  • B.S. in Computer Science and Engineering Technology – Islamic University of Technology (IUT), Bangladesh (2015)

Courses and Teaching Areas

  • CSDP 101: Introduction to Computing
  • CSDP 120:Introduction to Computer Programming
  • CSDP 150: Advanced Programming and Data Structure
  • CSDP 402: Computer Networks
  • CSDP 697: CSDP Special Topics
  • CSDP 710: Machine Learning

Last 5 Publications

  1. Sakib M. Zobaed, Mohsen Amini Salehi, and Rajkumar Buyya, “SAED: Edge-Based Intelligence for Privacy-Preserving Enterprise Search on the Cloud”, 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2021″
    Link: IEEE Xplore
  2. Muhammad Usama Islam, Md Mozaharul Mottalib, Mehedi Hassan, Zubair I. Alam, Sm Zobaed, and Fazle Rabby, “”The Past, Present, and Prospective Future of XAI: A Comprehensive Review,”” Explainable Artificial Intelligence for Cyber Security, 2022″
    Link: Springer Link
  3. Sm Zobaed and Mohsen Amini Salehi, “”Privacy-Preserving Clustering of Unstructured Big Data for Cloud-Based Enterprise Search Solutions,”” Concurrency and Computation: Practice and Experience, 2022″
    Link: Wiley Online Library
  4. Sm Zobaed, Ali Mokhtari, J. P. Champati, M. Kourouma, and Mohsen Amini Salehi, “”Edge-MultiAI: Multi-Tenancy of Latency-Sensitive Deep Learning Applications on Edge,”” 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC), 2022″
    Link: IEEE Xplore
  5. Sm Zobaed and Mohsen Amini Salehi, “”Confidential Computing Across Edge‐To‐Cloud for Machine Learning: A Survey Study,”” Software: Practice and Experience, 2025″
    Link: IEEE Xplore
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