Research & Research Interests


  • My undergraduate thesis is focused on evaluating performance of MOLAP (Multidimensional Online Analytical Processing) on EKA (Extendible Karnaugh Array) structure under supervision of Dr. K.M. Azharul Hasan.

  • EKA is an efficient scheme which has better performance than other data structures that we have tested in our research.

  • In our research work we used EKA as basic structure for implementing incremental aggregation of data and evaluate its performance over other approaches.

  • We used Multidimensional Online Analytical Processing (MOLAP) which stores data in optimized multi-dimensional array storage, rather than in a relational database.

  • We created MOLAP data cube using Traditional Multidimensional Array (TMA) and EKA scheme and compare incremental aggregation with Relational Online Analytical Processing (ROLAP).

  • The effective outcome of EKA structure for incremental aggregation on MOLAP structure is shown by some experimental results.

  • We published a conference paper on this research, Which can be seen here: Publications

  • We are now thinking about extending our work to publish a Journal.

Data Mining

  • While working with database and data wire-housing, I read the book ''Data Mining: Concepts and Techniques'' by Jiawei Han, Micheline Kamber and Jian Pei.

  • Then I knew about data visualization, data storage, classification clustering etc.

  • Interest in Data Mining has grown rapidly in my mind.

  • Also studied and implemented recommendation system, clustering algorithms in python.

Machine Learning

  • As a subdivision of Data Mining, Machine learning is a great topic of interest to me.

  • I have completed a course in Coursera named ''Machine Learning" by Andrew Ng, that can be seen here: Online Courses

  • We (me and my colleagues) have published two conference papers in this area using Machine Learning Techniques.

  • One publication is about planning a itinerary plan for tourist using k-means clustering, TSP and 2-opt algorithms. We used python here.

  • Another is about predicting crime trend of Bangladesh using linear regression. We used MATLAB for this.

  • Both of the publications can be found here: Publications

  • We have plan to visualize crime trends with other Machine Learning Techniques.

  • Now I am learning Sparse Auto Encoder, Softmax Function and Convolutional Neural Network from ''Unsupervised Feature Learning. and Deep Learning'' by Stanford University. I will apply those techniques to recognize bangla letters and digits.

Data Science

  • I have completed two data science courses Coursera which can be found here: Online Courses

  • Hope to finish "Data Science Specialization" by John Hopkins University.

  • Have a deep interest in this area.

Image Processing

  • To apply Machine Learning algorithms on Image Dataset, Preprocessing and cleaning is necessary. For this purpose I am reading a book named "Digital Image Processing Using Matlab" by Rafael C. Gonzalez, Richard E. Woods and Steven L. Eddins.


  • As a CCNA instructor of CISCO Local Academy, KUET, I am greatly introduced with networking world.

  • To learn about new networking technologies and protocols and completed a masters level course named "Advanced Networking" Where I learn about Vehicular Ad-Hoc Network (VANET), Mobile Ad-Hoc Network (MANET) and various protocols used in these systems.