Mr. Shafiul Alom Ahmed

Mr. Shafiul Alom Ahmed

Assistant Professor

  • Faculty of Engineering and Technology

About

Name: Specialization:
Mr. Shafiul Alom Ahmed Data Mining, Data Structure, Algorithms

Qualification

M.Sc in Computer Science Gauhati University 2012
M.Tech in Information Technology Tezpur University 2014
Ph.D(Pursuing) Tezpur University Thesis Submitted

 

Personal Interest

Folk Dance, Badminton

Working Experience

Period Designation Institute
Nov-2021 to till date Assistant Professor Department of CSE(iNurture), Assam down town University
Apr-2021 to Oct-2021 PGT-CS Kendriya Vidyalaya-4, Tezpur University
Jan-2015 to June-2019 Teaching Assistant Department of CSE, Tezpur University
Jul-2015 to Jun-2016 Faculty (Part Time) DOEACC Training Program, Tezpur University

 

Research

JOURNAL  
1 Ahmed S. A. & Nath B. "Identification of adverse disease agents and risk analysis using frequent pattern mining." Information Sciences 576, 609-641, 2021. Indexing: SCI, SCOPUS, Web of Science, Impact Factor: 6.795
2 Ahmed S. A. & Nath B. “ISSP-tree: An improved fast algorithm for constructing a complete prefix tree using single database scan”, Expert Systems with Applications, 115603, 2021. Indexing: SCIE,Web of Science,
SCOPUS, Impact Factor: 6.954.
3 Ahmed, S. A. & Nath, B. “Is single scan based restructuring always a suitable approach to handle incremental frequent pattern mining?" Journal of Computer Science 17 (3), 205-220, 2021. Indexing: SCOPUS, Impact Score: .67.
Conference/Book Chapter  
1 Ahmed, S. A. & Nath, B. & A Talukdar, SbFP-growth: A Step to Removethe Bottleneck of FP-tree, Recent Developments in Machine Learning and Data Analytics,285–296,Springer 2019.
2 Ahmed, S. A. & Nath, B. “A survey on fp-tree based incremental frequent pattern mining.” In International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making. 203–210, Springer, 2019.
3 Ahmed, S. A. & Nath, B. “Modified fp-growth: An efficient frequent pattern mining approach from fp-tree.” In International Conference on Pattern Recognition and Machine Intelligence. 47–55, Springer, 2019.