MUHAMMED Z. MIAH

Ph.D. Candidate Dept. of Computer Science and Engineering University of Texas at Arlington Supervisor: Dr. Gautam Das

Office: Database Exploration Laboratory (DBXLAB) GeoScience Building, Room# 237 Office Tel: 817-272-0896 Email: mzmiah@yahoo.com md.miah@mavs.uta.edu

BIOGRAPHICAL SKETCH:

I received my BS in Civil Engineering from Khulna University of Engineering and Technology (KUET), Bangladesh. Then I moved to USA and received my MS in Computer and Information Science from University of New Haven (UNH), CT and Master of Business Administration (MBA) from Quinnipiac University, CT. Currently I am a PhD candidate at the Computer Science and Engineering department of the University of Texas at Arlington (UTA) and expecting to graduate in Fall 2009. My PhD supervisor is Dr. Gautam Das.

RESEARCH:

· Research Areas: Databases - Data Mining, Information Retrieval, e-Commerce and e-Business, Maximizing Visibility, Package Design, Searching Database and Ranking, Probabilistic Method.

· PhD Research Summary: Conducting research in data mining, information retrieval, knowledge and information management, e-commerce and e-business, and mining text, web and medical data. Main research works for PhD dissertation include data mining and knowledge/information management for e-commerce and e-business such as creating smart advertisement and designing optimal packages (trip/vacation packages, new service or product design, topics selection for social network, and so on) to reach as many potential customers as possible while dominating the competitors. Text mining work includes improvement of algorithm for text classification. Also working in medical data to extract valuable information for children cardiology that can help physicians to make decisions about new and current patients.

· Research lab: Database Exploration Laboratory (DBXLAB)

PUBLICATIONS:

· Muhammed Miah, Gautam Das, Vagelis Hristidis, Heikki Mannila: Standing Out in a Crowd: Selecting Attributes for Maximum Visibility. IEEE International Conference on Data Engineering (ICDE) 2008, 356-365.  (pdf)

· Muhammed Miah, Gautam Das, Vagelis Hristidis, Heikki Mannila: Determining Attributes to Maximize Visibility of Objects. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2009, vol. 21 no. 7, pp. 959-973.  (pdf)

· Muhammd Miah: Improved k-NN Algorithm for Text Classification, International Conference on Data Mining (DMIN) 2009.  (pdf)

· Muhammed Miah: An Optimal Signature-Tree based Algorithm for Selecting Attributes for Maximum Visibility, to appear in International Conference on Information Technology (ICIT) 2009. (pdf)

· Muhammed Miah, Gautam Das, Vagelis Hristidis: Designing Popular Packages, submitted for conference presentation.

· Muhammed Miah: Attributes Selection and Package Design to Maximize Visibility of Objects, PhD Dissertation 2009. (pdf)

BRIEF WORK HISTORY:

· I have worked both for academic/research and industry. Currently working as a Research/Teaching Assistant at the Computer Science and Engineering department of the University of Texas at Arlington (UTA) since started my PhD program in January 2006.  Before joining to the PhD program, I worked as a Lecturer of MIS at the North South University (NSU), Dhaka, Bangladesh for almost three years. I also worked in Database and Web Development at a marketing research company PERT Survey Research in CT, USA for about two and a half years. Before I join the marketing research company, I worked in Database and Software Development in Connecticut Department of Transportation, CT, USA. In addition, I also served as Teaching Assistant at the University of New Haven during my Masters program and taught in a University in Bangladesh at undergraduate level.

COURSES TAUGHT AND ADVISED:

· Courses Taught at NSU

o e-Commerce and Web management

o Database Systems

o Management Information Systems

o Systems Analysis and Design

o Introduction to Computers

o Principles of Marketing

o International Business

· Courses Served as Teaching Assistant at UTA

o Algorithm Analysis and Design

o Advanced Algorithms

o Database Systems

o Data Mining

o Data Exploration

o Data Structures

o Special Topics in Theory and Algorithms

o Databases and Information Retrieval

o Web Search, Mining, and Integration