Fatema Tuz Jhohura

Fatema Tuz Jhohura is a Staff Researcher at RED. She has started her research career with the BRAC Health Nutrition and Population Programme and then moved to the Research and Evaluation Division (RED) of BRAC, in 2014. She has ability in conducting research independently and co-ordinating RED’s Health research unit containing eight members. She also has strong background in social science research design, sampling strategy, instrument development, training of interviewers, qualitative and quantitative analysis of data, report writing and seminar presentation at both national and international levels. Published research reports and monographs; contributed in journals and books/reports at home and abroad.


Personal data

Name: Fatema Tuz Jhohura

Address: Industrial Project Financing Division, Section-2, Sonali Bank Limited, Head Office, Dhaka

Telephone: 88 02 9881265 (Ext. 3727) Cell: 01729070478

E-mail address: fatema.jhohura[at]brac.net

Age:26 years

Nationality: Bangladeshi

Gender: Female

Marital Status: Unmarried



M.Sc. in Applied Statistics(2012), University of Dhaka, Bangladesh

B.S.S (Hons.) in Applied Statistics(2010), University of Dhaka, Bangladesh

H.S.C in Science Ideal School and College, Board-Dhaka, Bangladesh

S.S.C in Science Adarsha Girls School and College, Board-Dhaka, Bangladesh


Work experiences

Date: February, 2014- present

Position: Staff Researcher

Employer: BRAC

Type of business: Non-profit organization/NGO

Area of work: Research and evaluation in education

Major responsibilities: To conduct different research by using appropriate research methods and tools, planning and design research objective and sampling methodology for the specific research,providing necessary field coordination and training for data collection, monitoring data collection and data entry team for authentic data and prepare syntax for data cleaning and analysis, prepare documentation, and writing reports/manuscripts/journal articles based on datasets


Date: May. 2012- January. 2014

Position: Senior Sector Specialist (M &E)

Employer: BRAC Health Nutrition and Population Programme

Type of business: Non-profit organization/NGO

Area of work: Monitoring and Evaluation officer

Major responsibilities: Under the general supervision of Director and the direct supervision of Programme Head, Manoshi, the incumbent is responsible for, but not necessarily limited to the following

  • Assist in preparing systematic and realistic monitoring plans that capture quantitative and qualitative data to report on program performance indicators
  • Prepare questionnaire, checklist and write up for checking the field activities of the program
  • Check and preserve all programs data through statistical software
  • Analyze and interpret statistical data and prepare a report based on analysis
  • Evaluate the information in order to determine any limitations in terms of reliability or usability
  • Analyze programs monthly, quarterly and yearly MIS data and provide various report
  • Observe field activities during field visit and provide feedback & support
  • Assess the need of training of the staffs and arrange training for them in the case of special and regular monitoring
  • Assist in developing, reviewing and updating manuals, training modules, field guideline and other programs materials
  • Disseminate decision taken in the head office to field
  • Coordinate with different unites and departments of BRAC for implementing activities
  • Participate in national, divisional, district and regional level meeting, and seminars
  • Solve any problem confronted by the field staffs related to monitoring and evaluation activities
  • Perform any other responsibility as assigned by the authority


List of publications (preferably in last 10 years)

Book/book chapters/ journal articles

  1. FatemaTuz Jhohura and Md. Israt Rayhan. 2012. ‘An Assessment of Renewable Energy in Bangladesh through ARIMA, Holts, ARCH-GARCH Models’. The Dhaka University Journal of Science, 60(2):159-162.
  2. Fatema Tuz Jhohura, Tamanna Howlader and S. M. Mahbubur Rahman . 2014. ‘Bayesian Fusion of Ensemble of Multi focused Noisy Images’. Circuits, Systems & Signal Processing (accepted)