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.
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.
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.
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.
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.