Self-Description:

Hosney Jahan is working as faculty researcher in SEEDSlab. Her research interests are in Machine Learning, Software Testing, Software Fault Detection and Artificial Intelligent in general. She is currently pursuing Ph.D. in Computer Science and Technology under School of Computer Sciences at Sichuan University, China. She did her Master degree from Nanjing University of Science and Technology, China. Before joining at Sichuan University, she was employed by several renowned organizations across the country including Software firm, Multinational Company etc.


Academic Qualifications:

  • Doctor of Philosophy (Ph.D.) in Computer Science and Technology (Continue)

Sichuan University, China

  • Master of Science in Computer Software and Theory

Nanjing University of Science and Technology , China

  • Bachelor of Science in Computer Science and Engineering

Hajee Mohammad Danesh Science & Technology University, bangladesh


Research Area:

  • Machine Learning
  • Software Testing
  • Software Fault Detection
  • Artificial Intelligent

Publication List:

  1. Razu Ahmed, S M Hasan Mahmud, Md Altab Hossin, Hosney Jahan, Sheak Rashed Haider Noori, “A Cloud Based Four-Tier Architecture for Early Detection of Heart Diseases using Machine Learning Algorithms” 2018 4th IEEE International Conference on Computer and Communications (ICCC), Chengdu, China. [Scopus and EI] (Under review)
  2. Hosney Jahan, Sana Rao and D. Liu, “Test case generation for BPEL-based web service composition using Colored Petri Nets,” 2016 International Conference on Progress in Informatics and Computing (PIC), Shanghai, 2016, pp. 623-628. [Scopus and EI
  3. Sana Rao, Hosney Jahan and D. Liu, “A search-based approach for test suite generation from extended finite state machines,” 2016 International Conference on Progress in Informatics and Computing (PIC), Shanghai, 2016, pp. 82-87. [Scopus and EI
  4. Shohel Rana,, Md Altab Hossin, S M Hasan Mahmud, Hosney Jahan, A. K. M. Zaidi Satter, Touhid Bhuiyan, “MinFinder: A New Approach in Sorting Algorithm”, (ICICT-2019), China [Scopus and EI] (Under review)
  5. Shohel Rana, Md Altab Hossin, S M Hasan Mahmud, Hosney Jahan, “A new method to handle Facebook users in the distributed database system”, 2018 9th IEEE International Conference on Software Engineering and Service Science (ICSESS 2018), Beijing, China. [EI Index] [Accepted]
  6. S M Hasan Mahmud, Md Altab Hossin, Hosney Jahan, Sheak Rashed Haider Noori, Md. Fokhray Hossain, “Publishing CSV Data as Linked Data on the Web”, International Journal of Engineering & Technology(UAE). [Scopus] (Under review)
  7. S M Hasan Mahmud, Md Altab Hossin, Hosney Jahan, Sheak Rashed Haider Noori, ”CSV2RDF: Generating RDF data from CSV datasets Using Semantic Web Technologies” Journal of Theoretical and Applied Information Technology. [Scopus] (In Press)
  8. Hosney Jahan, S M Hasan Mahmud, Md Altab Hossin, Sheak Rashed Haider Noori, “CPN-based Test Case Generation Approach for Testing BPEL-based Web Services Composition”, Journal of Engineering and Applied Sciences, Volume 13, 2018. [Scopus] (In Press)
  9. S M Hasan Mahmud, Md Altab Hossin, Hosney Jahan, Sheak Rashed Haider Noori, Touhid Bhuiyan, “CSV-ANNOTATE: Generate Annotated Tables from CSV File”, International Conference on Artificial Intelligence and Big Data (ICAIBD 2018), China. [EI and Scopus] (In Press)
  10. Rifat Hossain, S.M. Hasan Mahmud, Md Altab Hossin, Sheak RashedHaider Noori, Hosney Jahan, “PRMT: Predicting Risk Factor for Obesity among Middle-Aged People Using Data Mining Techniques” International Conference on Computational Intelligence and Data Science, Procedia Computer Science Journal, Elsevier, April 2018. [Scopus]

Award and Scholarship:

  • Full Funded Scholarship (for Ph.D. Study) awarded by the Chinese Government Scholarship, China, September, 2017.
  • Full Funded Scholarship (for Master Study) awarded by the Chinese Government Scholarship, China, September, 2014.
  • Junior School Scholarship, Talent.

Primary School Scholarship, Talent.