A.K.M. Monzurul Islam
Contact:
Mobile: 01717558760;
E-mail: mislam@ius.edu.bd
I have strong quantitative, analytical, and excellent interpersonal skills and a brilliant educational track record. I possess the ability to deliver results in a challenging and deadline-oriented environment. I am a team player with demonstrated leadership skills and a sharp learning curve.
Educational Qualifications:
SN |
Degree |
Institute |
Passing Year |
1 |
MBA in MIS |
World University of Bangladesh |
2009 |
2 |
M.Sc in CSE |
Bangalore University |
2002 |
3 |
B.Sc in CSE |
Bangalore University |
2000 |
4 |
HSC |
Khulna Public College |
1995 |
5 |
SSC |
Khulna Public College |
1993 |
Job Experience:
Designation
|
Institute
|
Duration
|
Assistant Professor and Head of Department (Natural Science) |
University of Scholars (IUS) |
September 2020 to Date |
Adjunct Faculty (CSE Department) |
Independent University Bangladesh (IUB) |
September 2016 to Date |
Manager |
Europa Group |
January 2015 to August 2017. |
Senior IT Executive |
MGH Group |
January 2010 to December 2014. |
Lecturer |
Atish Dipankar University of Science & Technology |
September 2005 to December 2009 |
Lecturer |
World University of Bangladesh |
April 2004 to August 2005 |
Instructor |
Gateway Education |
February 2003 to March 2004 |
PUBLICATION:
- A.K.M. Monzurul Islam & Mustafa Nizamul Aziz (2020). An example of developing a knowledge-based system. International Journal of Science and Business, 4(7), 52-56. DOI:
Abstract:
A possible way to understand how a knowledge system works is to imagine an expert-client situation. We are all experts in our fields, but in daily life, we need assistance from an expert in an area that we do not know. This paper describes a knowledge-based system for Computer hardware diagnosis. Intermediate computer users can diagnose their hardware using the system's knowledge base when facing hardware problems with desktop computers. The main purpose of this paper is to include a real-time example of how a knowledge system can be built.
Details - (Link)
- Mustafa Nizamul Aziz & A.K.M. Monzurul Islam (2020). Reviewing Data Mining as an enabling technology for BI. International Journal of Science and Business, 4(7), 46-51. DOI:
Abstract:
Data mining (DM) is the process of discovering or "mining" new knowledge from large databases and applying it to decision-making. In recent times, companies have been using a wide range of data mining techniques to better understand their customers and their performance and solve complex business problems. Data mining is a way to develop Business Intelligence (BI) from data that an organization collects, organizes, and stores. The purpose of this paper is to review Data Mining as an enabling technology for Business Intelligence. Documents analysis was used as the data collection method and a qualitative approach was used for data analysis in the study.
Details - (Link)
Training:
- Completed 40+ Online certificates with good scores from renowned foreign Universities like the University of California San Diego, the University of Michigan, Macquarie University, Johns Hopkins University, the University of Colorado Boulder, and more.
- Completed Diploma certificate course on "Hardware Technology" from Bangalore Institute of Information Technology (BIIT).
- Completed Training for Professional Development on Quality Assurance and Accreditation in Higher Education from Bangladesh Accreditation Council (BAC)