Profile – Bangladesh University

Experience

Academic Qualifications:
1. M.Sc. (Engg.) in Computer Science and Engineering, University of Chittagong.
2. B.Sc. in Computer Science and Engineering, University of Chittagong.
3. H.S.C. (Science), B N College, Chittagong.
4. S.S.C. (Science), Chittagong Steel Mill High School, Chittagong.

TECHNICAL SKILL:
1. Programming Language- C, C++, JAVA, PHP, Prolog, SQL, VB.NET, Assembly
2. Web Designing Tools- CSS, HTML, XHTML, JavaScript
3. IDE Experience- MatLab, Code Blocks, JBuilder, Visual Studio, PHP Editor,Turbo C, Notepad++, emu8086, Dreamweaver.
4. Database- MYSQL, Oracle.
5. Modeling Language- E-R diagram, UML
6. Operating System- Linux and Windows

Professional Experience:
1. Assistant professor, Department of Computer Science and Engineering, Bangladesh University. From July 29,2024 to Present
2. Senior Lecturer & Coordinator, Department of Computer Science and Engineering, Bangladesh University. From June 16,2018 to July 28,2024
3. Lecturer & Coordinator, Department of Computer Science and Engineering, Bangladesh University. From February 26,2013 to June 15,2018
4. Lecturer, Department of Computer Science and Engineering, The Millennium University(TMU). From February 24,2011 to 2013

Research

Research Work

1. 2008: Web Programming, Online Human Resource Recruitment System-
Tools: PHP, JavaScript/JAVA, HTML, CSS, MySQL, Joomla.
2. 2008: Geographical Information System, GIS project on analysis of location of all airports in Bangladesh-
Tools: ArcView GIS on windows environment
3. 2007: Software Engineering, Hall Seat Management System ( Priti Lata Hall)-
Tools: PHP, JavaScript/JAVA, CSS, MySQL
4. 2007: Database System, Library Management System-
Tools: Visual Basic, MySQL

Publications

1. Amirhossein Ghods, Shohag Barman, Fahmid Al Farid, Umme Salma, Optimizing Economical Dispatch of a Microgrid in Islanding Mode, 8th International Conference on Electrical and Computer Engineering (ICECE 2014), IEEE, pp.297-300, held on 20th -22nd December-2014, Dhaka, Bangladesh.

2. Shohag Barman, Hira Lal Gope, M M Manjurul Islam, Md Mehedi Hasan Umme Salma, Clustering Techniques for Software Engineering, Indonesian Journal of Electrical Engineering and Computer Science Vol. 4, No. 2, November 2016, pp. 465 ~ 472 DOI: 10.11591/ijeecs.v4.i2.pp465-472.

3. Sadia Afrin Shampa, Umme Salma, Buraira Nasir, Wireless Automated Soil Monitoring System, International Journal of Computer Science and Information Security (IJCSIS), Vol. 16, No. 5, May 2018.

4. Tanjim Mahmud, Sajib Tripura, Umme Salma, Jannat Fardoush, Sultana Rokeya Naher, Juel Sikder, Md Faisal Bin Abdul Aziz, Face Detection and Recognition System, 2nd International conference on Technology Innovation And Data Sciences -2021, Petaling Jaya, Malaysia, February 19-20, 2021, Series (LNNS) – Springer Nature, PP 145-155, 10.1007/978-981-16-3153-5_18

5. Tanjim Mahmud, Juel Sikder, Umme Salma, Sultana Rokeya Naher, Jannat Fardoush, Nahed Sharmen, Sajib Tripura, An Optimal Learning Model for Training Expert System to Detect Uterine Cancer, The 12th International Conference on Ambient Systems, Networks and Technologies (ANT), March 23-26, 2021, Warsaw, Poland. Procedia Computer Science 184 (2021) 356–363 , https://doi.org/10.1016/j.procs.2021.03.045

6. Utpol Kanti Das, Juel Sikder, Umme Salma, A M Shahed Anwar, Intelligent Cancer Detection System, 2021 International Conference on Intelligent Technologies (CONIT), IEEE, June 25-27, 2021, Hubli, India. 10.1109/CONIT51480.2021.9498410

7. Md. Nesarul Hoque, Umme Salma, Detecting Level of Depression from Social Media Posts for the Low-resource Bengali Language, Journal of Engineering Advancements, Vol. 04(02), pp 49-56. https://doi.org/10.38032/jea.2023.02.003

8. Md. Nesarul Hoque, Umme Salma, Md. Jamal Uddin, Md. Martuza Ahamad, Sakifa Aktar, Exploring transformer models in the sentiment analysis task for the under-resource Bengali language, Natural Language Processing Journal 8 (2024), Volume 8, September 2024, 100091, https://doi.org/10.1016/j.nlp.2024.100091

9. Md. Nesarul Hoque, Umme Salma, Md. Jamal Uddin, Sadia Afrin Shampa, Depression Intensity Identification using Transformer Ensemble Technique for the Resource-constrained Bengali Language, Journal of Engineering Advancements, Vol. 5 No. 02 (2024), DOI: https://doi.org/10.38032/jea.2024.02.001