Profile of Dr. Md. Earfan Ali Khondaker

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Dr. Md. Earfan Ali Khondaker

Professor

Department of Statistics (STT)

Faculty of Science

Hajee Mohammad Danesh Science & Technology University, Dinajpur.

E-mail: khondaker@hstu.ac.bd


CAREER OBJECTIVE

    An academician whose objective is to innovate and disseminate knowledge

RESEARCH INTEREST

    Econometrics and Stochastic Analysis, Data Mining and Statistical Learning, Support Vector Machine, Multivariate Data Analysis, Data Sciences

EDUCATION

  1. Doctor of Philosophy in Statistics, 2011

    Jahangirnagar University, Savar, Dhaka, Bangladesh

  2. Master of Science in Statistics, 1996

    University of Rajshahi, Rajshahi, Bangladesh

  3. Bachelor of Science (Honours) in Statistics, 1995

    University of Rajshahi, Rajshahi, Bangladesh

  4. Higher Secondary Certificate in Science Group, 1992

    Board of Rajshahi, Bangladesh

  5. Secondary School Certificate in Science Group, 1989

    Board of Rajshahi, Bangladesh


PROFESSIONAL EXPERIENCES

  1. Lecturer
    Part-time: Computer Science, Barahar School and Collage, Ullapara, Sirajganj, National University

    January 01, 2002 to March 02, 2003

  2. Senior Lecturer
    Statistics, Tarash Women’s Degree Collage, Tarash, Sirajganj, under National University, Bangladesh

    August 04, 1999 to March 02, 2003

  3. Lecturer (Bio-statistics)
    Department of Basic and Social Sciences, Dinajpur Government Veterinary College Affiliated HSTU

    March 03, 2003 to August 20, 2008

  4. Lecturer (Statistics)
    Department of Statistics, Faculty of Agriculture, Hajee Mohammad Danesh Science and Technology Univ

    August 21, 2008 to December 11, 2011

  5. Assistant Professor
    Dept. of Statistics, Faculty of Agriculture, Hajee Mohammad Danesh Science and Technology University

    December 12, 2011 to December 11, 2015

  6. Associate Professor
    Dept. of Statistics, Faculty of Science, Hajee Mohammad Danesh Science and Technology University

    December 12, 2015 to December 11, 2019

  7. Professor
    Dept. of Statistics, Faculty of Science, Hajee Mohammad Danesh Science and Technology University

    December 12, 2019 to Present


PUBLICATIONS

Journal Papers

  1.  K. M. Earfan Ali, M.S. Hossain and M.A. Mannan, “Distribution of Age Associated With Marriage Migration”, Pakistan Journal of Applied Sciences, Vol.4(2), 205-207, 2004.

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  2. M. M. Rahman, M.A. Islam, M.Y. Ali, M.E.A. Khondaker and M.M. Hossain, “Effect of Caponization on Body Weight, Hematological Traits and Blood Cholesterol Concentration of Nara Chicken”, International Journal of Poultry Science”, Vol.3(4): 284-286, 2004.

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  3. K. M. Earfan Ali and M.S. Hossain, “Estimation of Gross and Net Technical Efficiencies of Wheat Production in Bangladesh under Two Alternative Functional Forms”, Journal of Information Technology, Vol. 4(2), pp. 173-175, 2005.

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  4. K.M. Earfan Ali and Q. A. Samad, “The Influence of Management Characteristics on the Technical Efficiency of Wheat Farmers in Northern Bangladesh”, International Journal of Statistical Sciences (IJSS) Vol.10(1), pp. 93-106. 2010.

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  5. Md. Lutful Arafat, K. M. Earfan Ali, and Nawsher Oan, “Using literary techniques in the language class: Focus on Science and Technology University”, Bangladesh research publications journal, ISSN: 1998-2003, Vol.6 (3), pp. 281-285, 2012.

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  6. K. M. Earfan Ali and Q. A. Samad, “Technical Change and Productive Inefficiency Change of Wheat farming in Bangladesh: A Stochastic Frontiers Production Function Analysis”. International Journal of Statistical sciences, (IJSS) Vol.10(1), pp. 93-106. 2012.

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  7. K. M. Earfan Ali, “A Metafrontier Production Function for Estimation of Technical Efficiencies of Wheat Farmers under Different Technologies” Journal of Asian Scientific Research, 2013, 3(9):933-944.

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  8. K. M. Earfan Ali and Q. A. Samad,“Resource use efficiency in farming: An application of stochastic frontier production function”. Journal of Agricultural Economics and Development, Vol. 2(5), pp.194-202, May 2013.

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  9. Mohammad Earfan Ali Khondaker, “Analysis of efficiency of trained, non-trained and control group of farmers: A case study of wheat farmers in north region of Bangladesh”, International Journal of Development and Sustainability, Vol.7(3), pp.1072-1092, 2018.

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  10. Khondaker, M. E. Ali and A. B. M. Shawkat Ali, “A Short Term Day-Ahead Solar Radiation Prediction Using Machine Learning Techniques”, Journal of Climatology & Weather Forecasting, ISSN: 2332-2594 Vol. 6(3), pp. 1-5 2018.

  11. K. M. E. Ali and M. Ibrahim Mursal, “Factors affecting internal efficiency of secondary schools in northern region of Bangladesh” International Journal of Scientific & Engineering Research, ISSN 2229-5518,Vol. 9(11), pp.480-486, 2018.

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  12. Md. Rakibul Islam Rubel, Md. Mozahidul Haque, & Mohammad Earfan Ali Khondaker “The Effects of Microcredit on The Empowerment of Women in Northern Region of Bangladesh” International Journal of Science and Business, Vol.3 (6),pp.191-202, 2019.

  13. Md. Rakibul Islam Rubel, Md. Mozahidul Haque, Md. Rabiul Awal, Mustapha Usman Baba and Dr. Mohammad Earfan Ali Khondaker, “The Role of Microcredit to Change the Socio-Economic Status and Economic Empowerment of Women in the Northern Region of Bangladesh”, International Journal of Scientific Research and Engineering Development”, Vol.2(6), 2019, www.ijsred.com

Conference Papers

  1. M. S. Hossain, K.M.E. Ali and R.C. Debenath, “Frequency Distribution of Bangla Words in Bangla Newspapers”, National Conference on Computer Processing of Bangla”, Independent University, Dhaka, Bangladesh (NCCPB 2004), ISBN: 984-32-1112-4, 204-206. 2004.

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  2. Md. Ziaul Hassan; Md. Erfan Khandakar Ali; A B M Shawkat Ali; Jashnil Kumar, “Forecasting Day-ahead Solar Radiation Using Machine Learning Approach”, 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), Date of Conference: 11-13 Dec.2017, IEEE Xplore, ISBN: 978-1-5386-4530-7, pp. 252-258, 2018.

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  3. Md. Erfan Khandakar Ali; Md. Ziaul Hassan; A B M Shawkat Ali; Jashnil Kumar, “Prediction of Wind Speed Using Real Data: An analysis of Statistical Machine Learning Techniques, 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), Date of Conference: 11-13 Dec. 2017, IEEE Xplore, ISBN: 978-1-5386-4530-7, pp. 259–264, 2018.

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  4. M. E. A. Khondaker,  M. U. Baba   “An empirical study of Middle-income Farmers on Millet Production in Kano South Nigeria: A Stochastic Frontier Analysis Approach” International Conference on Data Science and SDGs: Challenges, Opportunities and Realities, 18-19 December, 2019, University of Rajshahi, Bangladesh. http://www.ru.ac.bd/stat/conference-2019/ Accepted, 2019. 

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  5. Khondaker, M. E. Ali and A B M Shawkat Ali, “Wind speed forecasting using machine learning techniques: A case study of nausori airports, nadi in Fiji”, International Journal of Statistical Sciences (IJSS), Department of Statistics, University of Rajshahi, Bangladesh, ISSN: 1683-5603, Website: http://www.ru.ac.bd/stat/ijss/ Accepted, 2019.

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Books

  1. Book Published:

    Title: Measuring Efficiency of Wheat Production in Northern Region of Bangladesh: A Stochastic Frontier Function Analysis, Authors Name: Md. Earfan Ali Khondaker, Amazon, LAP Lambert Academic Publishing, Germany, www.lap-publishing.com, ISBN 9783659951213, 21Oct 2016.

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SCHOLARSHIPS

  1. Doctor of Philosophy in Statistics

    Funded by: Department of Statistics, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh.


PROJECTS

  1. The realization of the human right to adequate food among woman and children living in a slum area of Dinajpur, Bangladesh

    Funded by: UGC of Bangladesh, Tk. 2,00000.00 (USD $ 2332.55)

    Position: Project Director

    Description: To realize the RtF, it is imperative that an assessment of the above indices is carried out. The most significant difference between food access in urban and rural areas is that rural people can often produce their own food, whereas urban people are more dependent on food purchases. This is also supported by Ruel et al. (1998). According to Ruel et al. (1998) people can usually get their food from three main sources; the market, their own production and transfers from various public and private assistance programs. For the urban populations who mainly buy their food, food prices are dependent on a number of factors including market systems linking rural and urban areas. These factors affect availability and access to food by determining costs of the food especially for urban poor living in slums. Examining GC 12 of the ICESCR on RtF, the aspects bellow are significant and thus were assessed in this study: 1. Food availability in the area 2. Food accessibility to households 3. Stability and sustainability of the food supply and access 4. Cultural acceptability of the available food 5. Food hygiene and sanitary measures Field observations and interviews with right holders and duty bearers will be use in assessing indicators on the mentioned issues above.

  2. Gender equity and women’s empowerment in northern region of Bangladesh: Its dimensions, determinants, and the influence of context (Completed, 2015)

    Funded by: Ministry of Science & Technology, Tk. 3,00000.00 (USD $ 3498.83),

    Position: Project Director

    Description: Specific objectives of the study are as follows: 1. To estimate the ratio of girls to boys in primary, secondary and tertiary education. 2. To explore women’s empowerment in terms of employment, type of earnings, control over cash and earnings, and freedom of movements. 3. To estimate women’s participation in household decision making and the acceptance of wife is beating. 4. To estimate the effect of socio-economic status, demographic variable on women’s empowerment and gender equity. 5. To estimate the forms of spousal violence among currently married women. The gender equity and women’s empowerment study in northern region of Bangladesh conducted under the authority of The Ministry of Science and Information & Communication Technology, Government of the People’s Republic of Bangladesh. The survey implemented by Department of Statistics, Hajee Danesh Science and Technology University, Dinajpur-5200, Bangladesh.

  3. Capacity Building for Teaching-Learning of Statistical Data Mining for Agriculture, Bioinformatics and Environment (Completed, 2017)

    Funded by: World Bank (HEQEP) and UGC, Tk. 24,995,000.00 (USD $ 291510.69)

    Position: Sub-Project Manager (SPM)

    Description: Project Duration: 2014 - 2017. I have developed international quality maintain stated academic development under sub-project Higher Education Quality Enhancement Project (HEQEP) Academic Innovation Fund (AIF) 1. Modernizing and updating syllabuses and standard of teaching to be eligible for Statistical Data Mining, especially for Bio-informatics, Climatology and Health. 2. Improvement of the laboratories and toilet facilities 3. Improvement of the workshop room. 4. Development of seminar library and computer center. 5. Enhancing quality of academic and non-academic staff. 6. Formation of an inter-department committee. 7. Enrichment of scientific infrastructure. 8. Development of a more updated and secured website for this department.


SOCIAL NETWORK